Despite current advances in liver transplant surgery, post-operative early allograft dysfunction still complicates the patient prognosis and graft survival. The transition from the donor has not been yet fully understood, and no study quantifies if and how the liver function changes through its transfer to the recipient. The indocyanine green dye plasma disappearance rate (ICG-PDR) is a simple validated tool of liver function assessment. The variation rate between the donor and recipient ICG-PDR still needs to be investigated.Single-center retrospective study. ICG-PDR determinations were performed before graft retrieval (T1) and 24 hours after transplant (T2). The ICG-PDR relative variation rate between T1 and T2 was calculated to assess the graft function and suffering/recovering. Matched data were compared with the MEAF model of graft dysfunction.1) can be associated with the MEAF score.To investigate whether the variation rate between the donor ICG-PDR value and the recipient ICG-PDR measurement on first postoperative day (POD36 ICG-PDR measurements between 18 donors and 18 graft recipients were performed. The mean donor ICG-PDR was 22.64 (SD 6.35), and the mean receiver’s ICG-PDR on 1st POD was 17.68 (SD 6.60), with a mean MEAF value of 4.51 (SD 1.23). Pearson’s test stressed a good, linear inverse correlation between the ICG-PDR relative variation and the MEAF values, correlation coefficient -0.580 (p = 0.012).The direct correlation between the donor to recipient ICG-PDR variation rate and MEAF was found. Measurements at T1 and T2 showed an up- or downtrend of the graft performance that reflect the MEAF values. Despite 40 years of experience in the field, OLTx represents a challenging surgery and less than complication-free. With the translation of the graft from the donor to the recipient, the transplantation process represents a susceptible moment to numerous insults that can damage the organ with important repercussions on the graft and patient survival , 2. In tAssessment of the indocyanine green dye plasma disappearance rate (ICG-PDR) is a non-invasive technique that could be adopted as a point-of-care test (POCT) to evaluate the liver graft dysfunction bedside. The preliminary assessment of the graft functionality is essential to define its suitability for transplant. Traditionally, this judgement occurs through the evaluation of liver function tests and liver biopsy before or during organ retrieval .Studies reported different ICG-PDR cut-off values in the recipient to have a prognostic role for graft dysfunction after OLTx , 12–14. 1) can be associated with the MEAF score and the patient’s prognosis.The transition from the donor to the recipient has not been yet fully understood, and no study quantifies how and if the liver function changes in its transfer to the recipient by applying the assay to study this transition. The hypothesis of our study is to analyze whether the variation rate between the donor ICG-PDR value and the recipient ICG-PDR measurement in the first postoperative day (POD1). All organs were sourced from donors after brain death (DBD) hospitalized in the Intensive Care Unit of the University Hospital of Udine. The informed consent for the donation of organs was obtained with respect to the Italian law, art. 91/99 and 578/93. All transplantation procedures were performed at the University Hospital of Udine from October 2019 to December 2020. The study was conducted following the ethical principles deriving from the Declaration of Helsinki and was approved by our Institutional Review Board number 021/2021. None of the transplant donors was from a vulnerable population. The patient’s willing to participate in clinical studies was obtained through the general consent (GECO) system, and the European General Data Protection Regulation 2016/679 was (GDPR) respected. A general informed consent for research purposes was signed by all admitted patients and the same standard-of-care was applied.This was a single center retrospective study analyzing the ICG-PDR variation rate between liver transplant donors immediately before harvesting and recipients at post-operative day 1 (PODAll liver grafts were harvested from donors after brain death (DBD). Only elective patients with end-stage liver disease scheduled through the Model for End-stage Liver Disease (MELD) score were enrolled in this study. The inclusion criteria were: (a) ICG-PDR testing performed on the donor just before liver procurement and (b) ICG-PDR testing performed on the first postoperative day (POD) on respective graft recipients. Exclusion criteria were: intra-operative mortality, acute vascular complications, active bleeding in the immediate postoperative period (24 hours) and known iodine allergy. The peri- and postoperative collected data included details regarding donor’s and recipient’s ICG-PDR values, demographical data, graft characteristics, blood transfusion requirements during surgery and blood chemistry in the first seven days after OLTx.ICG-PDR determinations were tested in the intensive care unit before entering the operating room for graft retrieval (T1) and 24 hours after OLTx surgery (T2). ICG-PDR was assessed by pulse spectrophotometry to provide a real-time picture of a transplanted graft’s metabolic function before and after surgery. A detailed explanation of ICG-PDR measurement is reported in our previous publication . To estimax3POD + score INRmax3POD + score bilirubin3POD)MEAF = (score ALTmax3POD = 3.29 / [1 + e-1.9132 (ln (ALTmax3POD)– 6.1723)]score ALTmax3POD = 3.29 / [1 + e-6.8204 (ln (INRmax3POD)– 0.6658)]score INR3POD = 3.4 / [1 + e-1.8005 (ln (bilirubin3POD)– 1.0607)]score bilirubinThe MEAF Scoring System provides a significant association with patient survival for the 3-, 6-, and 12-month follow-up, including that the higher the MEAF Score is, the lower the recipients’ and grafts’ survival rates are  at the two different time points . We applied Pearson’s test to assess for statistically significant correlation with MEAF. Subsequently, the linear regression analysis was performed. We tested via ANOVA the presence of any association between MEAF and dichotomic variables or via correlation test if the analyzed variable was continuous. The association between qualitative variables was tested using the χ2 chi-square test and Fisher’s exact test. Statistical significance was considered for p-values ≤0.05. MedCalc Statistical Software version 16.4.3  from the text box into the manuscript was used.2 value of 0.336. HFD after OLTx, showed a mean value of 64.78 (SD 6.71) days. A mean of 68.67 (SD 6.56) days was notable for patients showing a positive up-trending log ICG-PDR variation rate, vs 62.83 (SD 6.13) days within the transplants showing a negative ICG-PDR variation rate, although without reaching statistical significance. The ICG-PDR value at T2 stressed the correlation with MEAF, (p = 0.002). No deaths, no PNF and no re-transplants were observed in a 90-day follow-up period.During the study period 36 ICG-PDR measurements between 18 donors and 18 graft recipients were performed. Demographical, clinical and patient history data are shown in Tables The main findings of our study are as follows: first, we found an association between the variation rate of the donor-recipient ICG-PDR and MEAF; secondly, we found that the ICG-PDR on the first postoperative day was related with MEAF. The organ transition from the donor to the recipient is very sensitive to several insults that can lead to the impaired postoperative functional recovery of the graft. Liver transplantation represents the final stage of a complex multi-phase procedure consisting of organ procurement, preservation, preparation, and implantation. Ischemia-reperfusion damage (IRI), the quality of the donor graft, and the recipient’s condition at the time of transplantation can be the main factors responsible for the onset of graft dysfunction . The oveOver the last decades, indocyanine green plasma disappearance rate (ICG-PDR) aroused modest interest between researchers and clinicians as a tool of liver function assessment. Numerous studies about the efficacy of the ICG-PDR testing performed on the first postoperative day to predict the graft performance and early outcome after OLTx have been published , 21. SomFew studies have focused their attention on testing ICG-PDR on liver donors. Koneru et al. (1994) pioneered the ICG-PDR for the quality assessment of the graft. The authors showed that an ICG-PDR value lower than 15%/min was an objective evaluation to predict transplant graft quality . Vos et The low cost of the indocyanine green test, its simplicity, and the short time it took to perform it on both donors and recipients made it a valid tool to assess the progressive status of the graft function before and after transplantation.In our study, we analyzed the difference between two measurements of ICG-PDR for the same graft before and after liver transplantation. We calculated the variation rate in ICG-PDR (ICG-PDR-rate) as an expression of graft damage, and we found that the variation is directly correlated with the Model of Early Allograft Function (MEAF). To our knowledge, before this study, there was no research in the literature investigating the ICG-PDR in both donor and recipient livers.The calculated ICG-PDR variation rate is a dynamic index that assesses over time the evolution of the liver metabolic balance from the donor to the recipient and opens the way to numerous in-depth studies.From our analysis, we noted that in two thirds of the cohort the ICG-PDR variation rate decreased, suggesting a worsening in the graft-liver function. Higher MEAF scores among these patients also coherently explained the trend. Interestingly, the ICG-PDR variation rate increased between the rest of the population which was also notable for lower MEAF scores. ICG-PDR measurement performed at T1 (donor) and T2 (recipient) showed an up- or downtrend of the graft performance, able to reflect the MEAF values. Additional data from the donor, such as, graft steatosis, warm and cold ischemia times, did not correlate with MEAF in our case series. This finding can probably rely on the condition of the donor himself.The hypothesis that ICG-PDR variation rate could represent a measure of the ischemia and reperfusion injury (IRI) as previously hinted by Plevris et al seems to be supported by the results of our study showing good correlation between ICG-PDR values from donors to recipients and MEAF scores post-transplant .The intention of photographing the liver function in two different moments of the transplant process, revealed an interesting finding. If we look at the daily practice, it is arguable to assess the graft performance simply and objectively after OLTx. The ICG-PDR variation rate can be seen as a simple tool to appraise the early outcomes and could open an interesting window for the application of this technique to in the daily routine of the transplant surgeons. In fact, ICG-PDR is a simple and cost-effective tool, simple to read and above all simple to compare.Furthermore, this is a pilot-study and some limitations also need to be acknowledged: we reviewed our database retrospectively. We did not perform any power analysis about the study’s primary aim but only analyzed the available data. In patients with low cardiac output or massive active bleeding the ICG-PDR may not provide reliable information, therefore ICG-PDR was performed only in the case of hemodynamic stability. Moreover, the small cohort of patients did not allow us to investigate certain aspects in depth. It would be interesting to deepen the current knowledge about the increase/decrease in donor-recipient PDR observed in some cases. Certainly, by expanding the sample size, it will be possible to increase the variety of procured grafts and investigate the role of the PDR rate in such contexts.In conclusion, we found a direct correlation in ICG-PDR variation rate from donor-recipient and MEAF. ICG-PDR variation rate is an easy, bedside, repeatable measurement to estimate graft perioperative liver graft dysfunction. Further studies are needed to confirm our results in a large population and between centers. That will make it possible in the future to outline through ICG-PDR variation rate a tailored transplant pathway, aiming to contain postoperative complications.S1 Data(XLSX)Click here for additional data file. 22 Jun 2021PONE-D-21-16544ASSOCIATION BETWEEN THE DONOR TO RECIPIENT ICG-PDR VARIATION RATE AND THE FUNCTIONAL RECOVERY OF THE GRAFT AFTER ORTHOTOPIC LIVER TRANSPLANTATION: A PILOT STUDYPLOS ONEDear Dr. Ventin,Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.I have read with great interest the manuscript entitled ‘Association between the donor to recipient ICG-PDR variation rate and the functional recovery of the graft after orthotopic liver transplantation: a pilot study’. In this original article (single centre retrospective study), authors found an association between the variation rate of the donor-recipient ICG-PDR and MEAF; and, also, an association between the ICG-PDR on the first postoperative day and MEAF. The manuscript is written well and the topic of clinical interest. As stated by the authors, indeed, identifying efficient predictors of postoperative liver graft function is crucial because of the expansion of extended criteria donor graft utilisation.Thirty-six ICG-PDR measurements were performed for 18 donors and 18 graft recipients. Only donors after brain death (DBD) were included. In addition, the reported features of these donors suggest they are good quality organs  22.64 (6.35)). Recipients were predominantly low risk cases  17.68 (6.60)/ MELD Score was 12.5 (IQE 10.0-17.0); mean CIT 383.50 minutes (SD 91.36)).The results reported are original and have not been published elsewhere. The study was conducted according to ethical standards.Although experiments and statistics were performed to a high technical standard and are described in sufficient detail, the experienced reviewers raised some questions regarding sample size and the outcomes analysed. They have also asked for further information on the aim of applying ICG-PDR in this context and the time point to measure the MEAF score.I echo reviewer 1, and if ` ICG-PDR testing on liver transplant recipients has been a standard-of-care for 20 years at our institution`, why not increase the donor pool? In addition, if ` All patients were considered with a minimum follow-up of 90 days`, why not patient and graft survival at 90-day?Furthermore, indeed, the inclusion of data on `hard` endpoints would increase the quality of the study. Consider report patient and graft survival and the occurrence of early allograft dysfunction by conventional criteria . Those would be important considering the intention to propose a predictive test of graft performance and early outcome after transplantation.In the Discussion, the authors advocate that the current study supports the hypothesis that ICG-PDR variation rate could represent a measure of the ischemia-reperfusion injury. However, they must admit that limitations of the study population  may compromise this assumption.Also, in the Discussion, authors must comment on the feasibility of performing ICG-PDR tests in the donor before entering the operating room for graft retrieval. In many countries, such interventions are not allowed in the donor. Therefore, ethical and legal regulations must limit the applicability of these findings.To sum up, major concerns were raised by reviewers regarding methodological features, interpretation of results, and how they can affect the conclusions.Authors must address all these points, consider those constraints, and the Conclusion of the paper. Please provide a point-by-point response to reviewers’ comments.plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.Please submit your revised manuscript by Aug 06 2021 11:59PM. 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Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf2. We note that your study involved tissue/organ transplantation. Please provide the following information regarding tissue/organ donors for transplantation cases analyzed in your study.     1. Please provide the source(s) of the transplanted tissue/organs used in the study, including the institution name and a non-identifying description of the donor(s).     2. Please state in your response letter and ethics statement whether the transplant cases for this study involved any vulnerable populations; for example, tissue/organs from prisoners, subjects with reduced mental capacity due to illness or age, or minors.     - If a vulnerable population was used, please describe the population, justify the decision to use tissue/organ donations from this group, and clearly describe what measures were taken in the informed consent procedure to assure protection of the vulnerable group and avoid coercion.      - If a vulnerable population was not used, please state in your ethics statement, “None of the transplant donors was from a vulnerable population and all donors or next of kin provided written informed consent that was freely given.”     3. In the Methods, please provide detailed information about the procedure by which informed consent was obtained from organ/tissue donors or their next of kin. In addition, please provide a blank example of the form used to obtain consent from donors, and an English translation if the original is in a different language.     4. Please indicate whether the donors were previously registered as organ donors. If tissues/organs were obtained from deceased donors or cadavers, please provide details as to the donors’ cause(s) of death.     5. Please provide the participant recruitment dates and the period during which transplant procedures were done (as month and year).      6. Please discuss whether medical costs were covered or other cash payments were provided to the family of the donor. If so, please specify the value of this support .[Note: HTML markup is below. Please do not edit.]Reviewers' comments:Reviewer's Responses to QuestionsComments to the Author1. Is the manuscript technically sound, and do the data support the conclusions?The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: YesReviewer #2: Partly**********2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: YesReviewer #2: No**********3. Have the authors made all data underlying the findings in their manuscript fully available?PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.The Reviewer #1: YesReviewer #2: Yes**********4. Is the manuscript presented in an intelligible fashion and written in standard English?PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.Reviewer #1: YesReviewer #2: Yes**********5. Review Comments to the AuthorPlease use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. Reviewer #1: Cherchi et al. evaluated the variation of ICG-PDR in donor and recipient liver. They have found a significant correlation between MEAF value and ICG-PDR variation.The paper is well-written and organized. Several papers have reported the usefulness of the ICG test of transplant liver to predict early outcomes. This study is unique in which they analyzed the transition of ICG of the same liver from the donor to the recipient. Here are several comments.First of all, the cohort size is too small. To attract more readers, the authors should add more patients or prolong the observation period and evaluate the variation ratio with the actual patient outcome, not with the MEAF.ICG is now used in other fields other than the hepatology field to evaluate vascularity or blood flow. Please mention this in the introduction section.The result of ICG would be affected by cardiac function. Please include the limitation of ICG testing itself.Since this is a retrospective study, outcomes of the LT will be available. Although the authors used MEAF as a surrogate marker for the outcome, is there any correlation with a real outcome?T1 ICG was obtained from DBD, and the liver should be normal. Why was T1 high in some patients?DO the authors think ICG-PDR is a real-time test to assess graft dysfunction or a predictive marker for future graft dysfunction?Reviewer #2: Dear AuthorCongratulations on your study.I have some concerns about and I would like to discuss with you.If you have since 2019, Icg-PDR implemented as standard-of-care for all livers donors and transplant recipientes why you don't try increased your cohort of patients? How many liver transplants do you perform in your center in a year? Maybe with this analysis will be possible have more consistent and definitive results.You put MELD score in table 1. Donor demographical and laboratory data. Please consider to change to Table 2.Why did you prefer to use the MEAF grade instead other score like the definition proposed by Olthoff et al. ? And why did you use the MEAF score at day one? instead day 3 ?This could minimizes the contribution of preoperative elevated bilirubin and significant preoperative coagulopathy found in the recipients.When you discuss data from donor like steatosis, warm and cold ischemic times, for example, you did not correlate with MEAF, only because the good condition of the donor himself ? Did you considered that could be because you performed the score to soon after liver transplant, on day 1? Or maybe because you had only patients with low MELD and good donors conditions? I would like to know your opinion about.The value of ICG-PDR on he first day after transplant is a good predictor for EAD, especially to livers from extended criteria, but you did not use those kind of donors, so the variation rate of ICG "represent a measure of the ischemia and reperfusion injury", like you hypothetically said. So this was not related with donor qualities. Do you agree ?You have not seen your data any early allograft dysfunction (EAD), you use only good quality donors and recipients with low MELD. Possibily if our data was more extensive you coud find diferente results? Please I would like to hear your opinion about.Thank you.**********what does this mean?). If published, this will include your full peer review and any attached files.6. PLOS authors have the option to publish the peer review history of their article  digital diagnostic tool,  26 Jul 2021To: Yuri Longatto Boteon, M.D., Ph.D. Academic Editor PLOS ONE Udine, 7th July 2021Subject: Revision of the article ID: PONE-D-21-16544; ASSOCIATION BETWEEN THE DONOR TO RECIPIENT ICG-PDR VARIATION RATE AND THE FUNCTIONAL RECOVERY OF THE GRAFT AFTER ORTHOTOPIC LIVER TRANSPLANTATION: A PILOT STUDY Dear Editor,Thank you for inviting us to submit a revised draft of the above mentioned manuscript. We appreciate the time and effort you and the reviewers have dedicated, providing insightful feedback on how to strengthen our paper. Thus, we are very pleased to resubmit the revised article for further consideration. Please find below our answers to your and to the reviewer’s comments. We have carefully revised our manuscript accordingly to your suggestions. We believe that the findings reported in this manuscript are important, interesting to the readers of PlosONE Journal and worthy of publication. We hope our revised manuscript is satisfactory. In closing, we hope that our modifications have addressed all the issures raised in your informative and thorough review of the paper. We would be glad to make further changes upon request. On behalf of all the authors, we extend our gratitude to you for your time and assistance with our review. We look forward to hearing your response. Sincerely yours, Marco Ventin, M.D., and Prof. Luigi Vetrugno, M.D. Reply:Dear Dr. Ventin, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. 1) I have read with great interest the manuscript entitled ‘Association between the donor to recipient ICG-PDR variation rate and the functional recovery of the graft after orthotopic liver transplantation: a pilot study’. In this original article (single centre retrospective study), authors found an association between the variation rate of the donor-recipient ICG-PDR and MEAF; and, also, an association between the ICG-PDR on the first postoperative day and MEAF. The manuscript is written well and the topic of clinical interest. As stated by the authors, indeed, identifying efficient predictors of postoperative liver graft function is crucial because of the expansion of extended criteria donor graft utilisation.Reply 1: Thank you!2) Thirty-six ICG-PDR measurements were performed for 18 donors and 18 graft recipients. Only donors after brain death (DBD) were included. In addition, the reported features of these donors suggest they are good quality organs  22.64 (6.35)). Recipients were predominantly low risk cases  17.68 (6.60)/ MELD Score was 12.5 (IQE 10.0-17.0); mean CIT 383.50 minutes (SD 91.36)).Reply 2: ICG-PDR measurement performed at T1 (donor) and T2 (recipient) showed an up- or downtrend of the graft performance, able to reflect the MEAF values. As highlited by the Editor, the ICG-PDR could suggest the good quality of the organs: however, no study has been performed to date, to assess the ICG-PDR basal values to define an organ as of “good” or “poor” quality. In this study our main purpose was to monitorate the transition of the graft from the donor to the recipient through the ICG-PDR and finally comparing it with the currently most reliable predictive score of graft and patient’s prognosis. Please see ref: :e258-e264. doi: 10.1097/TP.0000000000001833. PMID: 28557956.) To address this comment and that from reviewer #1 we have implemented table 1 presenting the donor characteristics. Please see the new version of the manuscript. 3) The results reported are original and have not been published elsewhere. The study was conducted according to ethical standards.Reply 3: Thank you!4) Although experiments and statistics were performed to a high technical standard and are described in sufficient detail, the experienced reviewers raised some questions regarding sample size and the outcomes analysed. They have also asked for further information on the aim of applying ICG-PDR in this context and the time point to measure the MEAF score.Reply 4: We thank you for your question because thanks to this comment we have realized that our content can be misunderstood. We chose the MEAF score since recent evidence points towards it outperforming EAD in terms of patient and graft survival after transplant. Please find the relative references below:- Jochmans I, Fieuws S, Monbaliu D, Pirenne J. "Model for Early Allograft Function" Outperforms "Early Allograft Dysfunction" as a Predictor of Transplant Survival. Transplantation. 2017 Aug;101(8):e258-e264. doi: 10.1097/TP.0000000000001833. PMID: 28557956.- Pareja E, Cortes M, Hervás D, Mir J, Valdivieso A, Castell JV, Lahoz A. A score model for the continuous grading of early allograft dysfunction severity. Liver Transpl. 2015 Jan;21(1):38-46. doi: 10.1002/lt.23990. Epub 2014 Nov 24. PMID: 25204890.- Barrueco-Francioni JE, Seller-Pérez G, Lozano-Saéz R, Arias-Verdú MD, Quesada-García G, Herrera-Gutiérrez ME. Early graft dysfunction after liver transplant: Comparison of different diagnostic criteria in a single-center prospective cohort. Med Intensiva (Engl Ed). 2020 Apr;44(3):150-159. English, Spanish. doi: 10.1016/j.medin.2018.09.004. Epub 2018 Oct 24. PMID: 30528954. Being a continuous grading scale for graft dysfunction, the MEAF score can provide additional, granular information that could be used both clinically and as a surrogate endpoint of transplant survival in clinical trials unlike the categorical values obtained for EAD. Therefore, we found it statistically and methodologically more appropriate to study the potentienl relationship between MEAF and the ICG-PDR variation – rate on this cohort. The definition of EAD, as proposed by Olthoff et al., provides a dichotomous variable which needs a vast cohort to obtain statistical significance and provides less details as compared with MEAF. The combination of these considerations led us to choose the MEAF score as measure outcome.  With regards to the time point to measure the MEAF Score, please see the matherials and methods section, lines 103-112, where the complete alghorithm is expressed. The MEAF score was calculated with respect to the traditional formula, which has been validated to consider the max AST / ALT and bilirubin value within the first-three post operative days. Please find our comment to the sample size in the comment below. As suggested by your and the reviewer’s acute observation, we realize that the recipient’s biochemical data reported in table 2 present values from post-operative day one could have mislead the reader. However, the alghorithm was correctly calculated. Finally, the aim of applying the ICG-PDR in this study was to monitorate the transition of the graft from the donor to the recipient through the ICG-PDR and to compare it with the currently most reliable predictive score of graft and patient’s prognosis. We hope to have clearly answered to your que5) I echo reviewer 1, and if ` ICG-PDR testing on liver transplant recipients has been a standard-of-care for 20 years at our institution`, why not increase the donor pool? In addition, if ` All patients were considered with a minimum follow-up of 90 days`, why not patient and graft survival at 90-day?Reply 5: Dear Editor, thank you for your observations. Although we have used the ICG-PDR after liver transplantation for a long time at our institution, with some recently published articles on the issue (PMID: 32166552 and PMID: 34023468), the practice of measuring the ICG-PDR variation rate between the donor and the recipient is new. However, to explain the relatively small size of our cohort, some aspects need to be acknowledged: during the study period, our Institution had an organ debt with other institutions, thus many of the harvested organs were used elsewhere, whereas many of the organs transplanted at our institution were procured at other centers. Therefore, it was not possible for us to perform a complete assessment of the donor – recipient ICG-PDR on the reported sample. We hope that you may consider our study as a “pilot study”. However, in agreement with you and the reviewers, we are willing, if necessary, to change the study title from “a pilot study” to “case series” – and hope that this would satisfy your request. Please see the new title.  Furthermore, to address your last question we highlight that in our cohort the rates of death, primary non function (PNF) and re-transplant were 0% up to 90-days as mentioned in the results, lines 155-156, and in table 3. Moreover, to increase the quality of the study, we have followed your and reviewer #1’s suggestion by updating the following data to the materials and methods and results sections: i) the 90-day patient follow-up . Please see the implementation within the materials and methods, lines 113-116.  In fact the transplant patients with an improved ICG-PDR from the donor to the recipient, expressed as positive log ICG-PDR variation rate, had a higher HFD ; (SD 6.56) vs patients with a negative log ICG-PDR variation rate – HFD ; (SD 6.13), although without reaching a statistical significance. These findings support our results, showing that the up or downtrend of the ICG-PDR from the donor-to the recipient translated also in different HFD. Please see the red text in the new version of our manuscript, section results, lines 151-154.6) Furthermore, indeed, the inclusion of data on `hard` endpoints would increase the quality of the study. Consider report patient and graft survival and the occurrence of early allograft dysfunction by conventional criteria . Those would be important considering the intention to propose a predictive test of graft performance and early outcome after transplantation. Reply 6: As reported above, we chose the MEAF score since recent evidence points towards it outperforming EAD in terms of patient and graft survival after transplant. Below are the relative references:- Jochmans I, Fieuws S, Monbaliu D, Pirenne J. "Model for Early Allograft Function" Outperforms "Early Allograft Dysfunction" as a Predictor of Transplant Survival. Transplantation. 2017 Aug;101(8):e258-e264. doi: 10.1097/TP.0000000000001833. PMID: 28557956.- Pareja E, Cortes M, Hervás D, Mir J, Valdivieso A, Castell JV, Lahoz A. A score model for the continuous grading of early allograft dysfunction severity. Liver Transpl. 2015 Jan;21(1):38-46. doi: 10.1002/lt.23990. Epub 2014 Nov 24. PMID: 25204890.- Barrueco-Francioni JE, Seller-Pérez G, Lozano-Saéz R, Arias-Verdú MD, Quesada-García G, Herrera-Gutiérrez ME. Early graft dysfunction after liver transplant: Comparison of different diagnostic criteria in a single-center prospective cohort. Med Intensiva (Engl Ed). 2020 Apr;44(3):150-159. English, Spanish. doi: 10.1016/j.medin.2018.09.004. Epub 2018 Oct 24. PMID: 30528954.As mentioned above, being a continuous grading scale for graft dysfunction, the MEAF score can provide additional, granular information that could be used both clinically and as a surrogate endpoint of transplant survival in clinical trials unlike the categorical values obtained for EAD. Furthermore, we found it statistically and methodologically more appropriate to study the potentienl relationship between MEAF and the ICG-PDR variation – rate on this particular cohort. The definition of EAD, as proposed by Olthoff et al., provides a dichotomous variable which needs a vast cohort to find statistical significance. - Jochmans I, Fieuws S, Monbaliu D, Pirenne J. "Model for Early Allograft Function" Outperforms "Early Allograft Dysfunction" as a Predictor of Transplant Survival. Transplantation. 2017 Aug;101(8):e258-e264. doi: 10.1097/TP.0000000000001833. PMID: 28557956.In the previously submitted manuscript we did not configure the transplant outcomes in terms of EAD because as we mentioned above the current evidence from the literature led us to choose a different outcome (MEAF) which is also methodologically appliable to our population. It would certainly be interesting to compare these findings with EAD as outcome, but certainly a large population of liver transplants would be required. This is also why we calculated the ICG-PDR variation as logarithm %. We decide to Log our series to straight out exponential growth features and to reduce heteroscedasticity, stabilizing the variance. This elaboration could build data that can be better fitted by a linear model.The combination of these considerations led us to choose the MEAF as measure outcome.7) In the Discussion, the authors advocate that the current study supports the hypothesis that ICG-PDR variation rate could represent a measure of the ischemia-reperfusion injury. However, they must admit that limitations of the study population  may compromise this assumption. Reply 7: Thank you for your observation. You are right, however, as previously presented by Plevris et al., we share the theory that ICG-PDR could mirror IRI. The IRI-induced injury translates into graft dysfunction that can be measured by the ICG-PDR. Please see the ref below:- Plevris JN, Jalan R, Bzeizi KI, Dollinger MM, Lee A, Garden OJ, et al. Indocyanine green clearance reflects reperfusion injury following liver transplantation and is an early predictor of graft function. J Hepatol. 1999; 30(1):142-8. - Seifalian AM, El-Desoky H, Delpy DT, Davidson BR. Effects of hepatic ischaemia/reperfusion injury in a rabbit model of Indocyanine Green clearance. Clin Sci (Lond). 2002 May;102(5):579-86. PMID: 11980578.- El-Desoky A, Seifalian AM, Cope M, Delpy DT, Davidson BR. Experimental study of liver dysfunction evaluated by direct indocyanine green clearance using near infrared spectroscopy. Br J Surg. 1999 Aug;86(8):1005-11. doi: 10.1046/j.1365-2168.1999.01186.x. PMID: 10460634.8) Also, in the Discussion, authors must comment on the feasibility of performing ICG-PDR tests in the donor before entering the operating room for graft retrieval. In many countries, such interventions are not allowed in the donor. Therefore, ethical and legal regulations must limit the applicability of these findings.Reply 8: ICG-PDR is a non-invasive measurement of liver function performed with the inert dye indocyanine, in which a vial of ICG containing 25 mg of ICG powder is diluted using 5 mL of physiological solution to obtain a concentration of 5 mg/mL . After venous injection, a characteristic curve shows the shape depending on liver metabolism performance, which is exclusively mediated by selective organic anion transporters located in the hepatocyte plasma membrane. ICG is then excreted into the bile without enterohepatic recirculation. We performed the ICG-PDR test totally non-invasively by pulse spectrophotometry using a finger-clip sensor. With regards to the ethical and legal regulations in Italy, the test is only performed once the Brain Death certification procedure has been completed by the medical commission , and after checking the willingness of the patients’ relatives to donate the organs and after obtaining their consent to do so ; only then is the donor transferred to the operating room for organ retrieval and this procedure can be conceptually compared to coronary angiography. This procedure is approved by the IRB. Following the Editor’s observation we include this ethical and legal limit in the new version of the manuscript, please see the section materials and methods – study protocol, lines 119-121. We note that your study involved tissue/organ transplantation. Please provide the following information regarding tissue/organ donors for transplantation cases analyzed in your study.1. Please provide the source(s) of the transplanted tissue/organs used in the study, including the institution name and a non-identifying description of the donor(s).Reply 1: Following your suggestion we have added that organ procurement was carried out at the University Hospital of Udine under the work of the Regional Transplant Center for Friuli Venezia Giulia, by its Head Dr. Roberto Peressutti (one of the authors), as reported in the matherials and methods section, study design, lines 79-81. We also specify that informed consent for organ donation was obtained with respect to the Italian Law, art.91/99 and 578/93.  2. Please state in your response letter and ethics statement whether the transplant cases for this study involved any vulnerable populations; for example, tissue/organs from prisoners, subjects with reduced mental capacity due to illness or age, or minors.  - If a vulnerable population was used, please describe the population, justify the decision to use tissue/organ donations from this group, and clearly describe what measures were taken in the informed consent procedure to assure protection of the vulnerable group and avoid coercion.  - If a vulnerable population was not used, please state in your ethics statement, Reply 2: “None of the transplant donors originated from a vulnerable population.” Please see the new version of the manuscript, section materials and methods – study design, line 82. 3. In the Methods, please provide detailed information about the procedure by which informed consent was obtained from organ/tissue donors or their next of kin. In addition, please provide a blank example of the form used to obtain consent from donors, and an English translation if the original is in a different language.Reply: Thank you for your question. With regards to the ethical and legal regulations in Italy, the test is only performed once the Brain Death certification procedure has been completed by the medical commission , and after checking the patient’s or the patients’ relatives willingness to donate the organs ; only then is the donor transferred to the operating room for organ retrieval and ICG-PDR testing, as coronary angiography . This procedure has been improved since 2019 as standard-of-care at our Institution and has been approved by the IRB. A blank copy of the informed consent for organ donation is provided within the supplemental material. Please see the materials and methods section, study design, lines 79-81. 4. Please indicate whether the donors were previously registered as organ donors. If tissues/organs were obtained from deceased donors or cadavers, please provide details as to the donors’ cause(s) of death.Reply 4: As reported above, understanding the willingness of the patients’ relatives to donate the organs and obtaining their consent  was always performed beforehand by the NITp . In Italy, consent for organ donation is expressed at the moment of the personal ID card issue and renewal . All organs were procured from deceased donors following brain death at the University Hospital of Udine, under the management of the Regional Transplant Network, please see the materials and methods, as requested we add this information accordingly in lines 79-81. A detailed table showing donor characteristics, including the cause of death, is provided in the new version of the manuscript, please see the table 1.  5. Please provide the participant recruitment dates and the period during which transplant procedures were done (as month and year). Reply 5: The participant recruitment dates and the period during which the transplant procedures were performed all fall into the period: October 2019 – December 2020. Please see the matherials and methods, section study design, lines 80-82.  6. Please discuss whether medical costs were covered or other cash payments were provided to the family of the donor. If so, please specify the value of this support .Reply 6: With respect to the Italian Law and the National Health System all the medical procedures  are financially covered by the Italian government. The family of the donor has no right to receive any form of payment for organ donation.  Reviewers' comments: Reviewer's Responses to QuestionsComments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions?The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: YesReviewer #2: Partly2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: YesReviewer #2: No3. Have the authors made all data underlying the findings in their manuscript fully available?The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.Reviewer #1: YesReviewer #2: Yes4. Is the manuscript presented in an intelligible fashion and written in standard English?PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.Reviewer #1: YesReviewer #2: Yes5. Review Comments to the AuthorPlease use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics.  Reviewer #1: Cherchi et al. evaluated the variation of ICG-PDR in donor and recipient liver. They have found a significant correlation between MEAF value and ICG-PDR variation.The paper is well-written and organized. Several papers have reported the usefulness of the ICG test of transplant liver to predict early outcomes. This study is unique in which they analyzed the transition of ICG of the same liver from the donor to the recipient. Here are several comments.Reply: Thank you! 1) First of all, the cohort size is too small. To attract more readers, the authors should add more patients or prolong the observation period and evaluate the variation ratio with the actual patient outcome, not with the MEAF.Reply: : Dear reviewer, thank you for your observations. Although we have used the ICG-PDR after liver transplantation for a long time at our institution, with some recently published articles on the issue (PMID: 32166552 and PMID: 34023468), the practice of measuring the ICG-PDR variation rate between the donor and the recipient is new. However, to explain the limited size of our cohort, the following issues need to be acknowledged: during the study period, our Institution had an organ debt with other institutions, thus many of the harvested organs were used elsewhere, whereas many of the organs transplanted at our institution were procured at other centers. Therefore, it was possible for us to perform a complete assessment of the donor – recipient ICG-PDR on the reported sample. We hope that you may consider our study as a “pilot study”. However, in agreement with you and the reviewers, we are willing, if necessary, to change the study title from “a pilot study” to “case series” – and hope that this would satisfy your request. Please see the new title. Furthermore, to increase the quality of the study, we have followed your and the Editor’s suggestion by adding the following data to the materials and methods and results sections: i) a 90-day patient’s follow-up . Please see the materials and methods, study protocol, lines 113-116. In fact the transplant patients with an improved ICG-PDR from the donor to the recipient, expressed as positive log ICG-PDR variation rate, had a higher HFD ; (SD 6.56) vs patients with a negative log ICG-PDR variation rate – HFD ; (SD 6.13), although without reaching a statistical significance. These findings support our results, showing that the up or downtrend of the ICG-PDR from the donor-to the recipient translated also in different HFD. Please see the red text in the new version of our manuscript, results, lines 151-154. :1455-1460. doi: 10.1378/chest.11-1638. PMID: 23364680” reach 134 Scopus citation”). We hope that you will embrace publishing this article as a case series despite its limited cohort size considering its novelty and the fact that it is the first research to investigate this relationship. 2) ICG is now used in other fields other than the hepatology field to evaluate vascularity or blood flow. Please mention this in the introduction section.Reply: In accordance with your suggestion, we have added this information to the introduction section as follows: “Indocyanine green (ICG) is a cyanine dye safely used in medical diagnostics; although with different techniques, ICG boasts broad applications from vascular and lymphatic perfusion assessments in the fields of gastrointestinal surgery and gynecology, to the vascular and organ functional assessment in hepatology.” Please see the red text in the new version of the manuscript, introduction, lines 54-57.- Rossi EC, Ivanova A, Boggess JF. Robotically assisted fluorescence-guided lymph node mapping with ICG for gynecologic malignancies: a feasibility study. Gynecol Oncol. 2012 Jan;124(1):78-82. doi: 10.1016/j.ygyno.2011.09.025. Epub 2011 Oct - Blanco-Colino R, Espin-Basany E. Intraoperative use of ICG fluorescence imaging to reduce the risk of anastomotic leakage in colorectal surgery: a systematic review and meta-analysis. Tech Coloproctol. 2018 Jan;22(1):15-23. doi: 10.1007/s10151-017-1731-8. Epub 2017 Dec 11. PMID: 29230591.- Coubeau L, Frezin J, Dehon R, Lerut J, Reding R. Indocyanine green fluoroscopy and liver transplantation: a new technique for the intraoperative assessment of bile duct vascularization. Hepatobiliary Pancreat Dis Int. 2017 Aug 15;16(4):440-442. doi: 10.1016/S1499-3872(17)60040-7. PMID: 28823377.3) The result of ICG would be affected by cardiac function. Please include the limitation of ICG testing itself.Reply: In agreement with the reviewer, we have included this important suggestion in the discussion section, final paragraph – limitations, lines 267-269. Thank you!4) Since this is a retrospective study, outcomes of the LT will be available. Although the authors used MEAF as a surrogate marker for the outcome, is there any correlation with a real outcome?Reply: As reported above, recent evidence points towards the MEAF score outperforming EAD in terms of patient and graft survival after transplant, thus providing the all-important support for its use in this research. The relative references are as follows:- Jochmans I, Fieuws S, Monbaliu D, Pirenne J. "Model for Early Allograft Function" Outperforms "Early Allograft Dysfunction" as a Predictor of Transplant Survival. Transplantation. 2017 Aug;101(8):e258-e264. doi: 10.1097/TP.0000000000001833. PMID: 28557956.- Pareja E, Cortes M, Hervás D, Mir J, Valdivieso A, Castell JV, Lahoz A. A score model for the continuous grading of early allograft dysfunction severity. Liver Transpl. 2015 Jan;21(1):38-46. doi: 10.1002/lt.23990. Epub 2014 Nov 24. PMID: 25204890.- Barrueco-Francioni JE, Seller-Pérez G, Lozano-Saéz R, Arias-Verdú MD, Quesada-García G, Herrera-Gutiérrez ME. Early graft dysfunction after liver transplant: Comparison of different diagnostic criteria in a single-center prospective cohort. Med Intensiva (Engl Ed). 2020 Apr;44(3):150-159. English, Spanish. doi: 10.1016/j.medin.2018.09.004. Epub 2018 Oct 24. PMID: 30528954.Being a continuous grading scale for graft dysfunction, the MEAF score can provide additional, granular information that could be used both clinically and as a surrogate endpoint of transplant survival in clinical trials, unlike the categorical values obtained for EAD. Furthermore, we found it statistically and methodologically more appropriate to study the potentienl relationship between MEAF and the ICG-PDR variation – rate on this particular cohort. The definition of EAD, as proposed by Olthoff et al., provides a dichotomous variable which needs a vast cohort to obtain statistical significance. Instead, a continuous variable – expecially if elaborated by log transformation to build a linear model – could describe the association between the analyzed variables better. The combination of these considerations led us to choose the MEAF score as measure outcome. Following your and the Editor’s suggestion to increase the quality of the study, a 90 days patient’s follow-up has been updated in the results. The Hospital-Free survival Days (HFD) summarizes the postoperative outcome as the number of days patients spent outside of any healthcare facility in an observation period of 90 days after OLTx. As per your request, there is also a correlation with the real outcome. Since the 90-days mortality, PNF and re-transplant endpoints were 0%, we summarized the real outcome by means of HFD: the transplant patients with an improved ICG-PDR from the donor to the recipient, expressed as positive log ICG-PDR variation rate, had a higher HFD ; (SD 6.56) vs patients with a negative log ICG-PDR variation rate – HFD ; (SD 6.13), although without reaching a statistical significance. These findings support our results, showing that the up or downtrend of the ICG-PDR from the donor-to the recipient translated also in different postoperative hospitalization. Please see the red text in the materials and methods and results sections.5) T1 ICG was obtained from DBD, and the liver should be normal. Why was T1 high in some patients?Reply: Thank you for your observation. The high T1 values in some patients was, in fact, the reason why we calculated the ICG-PDR variation as a logarithm %. We decided to Log our series in order to straighten out the exponential growth features and to reduce heteroscedasticity, stabilizing the variance. This transformation could produce data that might be fitted better by a linear model.Many studies in the literature show that high ICG-PDR values are characteristic of/correlate with good quality grafts. That said, no “clear” definition of a “good quality graft” by means of ICG-PDR has yet been established, and further studies are needed. At the moment, a “good” ICG-PDR does not represent a selection criteria for graft suitability for transplant. Liver biopsy continues to be the gold standard for selecting graft eligibility for transplant. 6) DO the authors think ICG-PDR is a real-time test to assess graft dysfunction or a predictive marker for future graft dysfunction?Reply: Thank you for your cogent inquiry. Yes, we are convinced that ICG-PDR is a real-time test that can be used for assessing graft function non invasively or as a predictive marker for future graft dysfunction. Please see our recent publications on ICG-PDR and it’s value for short and long term prognosis after OLTx. Please see: PMID: 34023468; PMID: 32166552. Reviewer #2: Dear Author Congratulations on your study. I have some concerns about and I would like to discuss with you. 1) If you have since 2019, ICG-PDR implemented as standard-of-care for all livers donors and transplant recipientes why you don't try increased your cohort of patients? How many liver transplants do you perform in your center in a year? Maybe with this analysis will be possible have more consistent and definitive results.Reply: Dear reviewer, thank you for your observations. It is true that we have used the ICG-PDR after liver transplantation for a long time at our institution, with some recently published articles: PMID: 32166552 and PMID: 34023468. However, the practice of measuring the ICG-PDR variation rate between the donor and the recipient is a new.  Moreover, to explain the limited size of our cohort, the following issues need to be acknowledged: during the study period, our Institution had an organ debt with other institutions, thus many of the harvested organs were used elsewhere, whereas many of the organs transplanted at our institution were procured at other centers. Therefore, it was possible for us to perform a complete assessment of the donor – recipient ICG-PDR on the reported sample. We hope that you may consider our study as a “pilot study”. However, in agreement with you, the Editor and the other reviewers, we are willing, if necessary, to change the study title from “a pilot study” to “case series” – and hope that this would satisfy your request. Please see the new title. Our center is a medium transplant center with about 30–35 liver, 25–30 heart transplants and 60–70 kidney transplants performed each year.  Furthermore, to increase the quality of the study, we have followed your and the Editor’s suggestion by adding the following data to the materials and methods and results sections: a 90-day patient’s follow-up . Please see the materials and methods, study protocol, lines 113-116.In fact, the transplant patients with an improved ICG-PDR from the donor to the recipient, expressed as positive log ICG-PDR variation rate, had a higher HFD ; (SD 6.56) vs patients with a negative log ICG-PDR variation rate – HFD ; (SD 6.13), although without reaching a statistical significance. These findings support our results, showing that the up or downtrend of the ICG-PDR from the donor-to the recipient translated also in different postoperative hospitalization. Please see the red text in the results section, lines 151-154.:1455-1460. doi: 10.1378/chest.11-1638. PMID: 23364680” reach 134 Scopus citation”). We hope that you will embrace publishing this article as a pilot study despite its limited cohort size considering its novelty and the fact that it is the first paper to investigate this relationship. 2) You put MELD score in table 1. Donor demographical and laboratory data. Please consider to change to Table 2. Reply: Thank you for your suggestion, we have moved the data accordingly. Please see the new table 2.3) Why did you prefer to use the MEAF grade instead other score like the definition proposed by Olthoff et al. ? And why did you use the MEAF score at day one? instead day 3 ?This could minimizes the contribution of preoperative elevated bilirubin and significant preoperative coagulopathy found in the recipients. Reply: We thank you for your question because thanks to this comment we have realized that our content can be misunderstood. The MEAF score was calculated using the traditional formula, which has been validated to consider the max AST and ALT value within the first three post operative days. As suggested by your acute observation, we realize that the recipient’s biochemical data reported in table 2 showing values from post-operative day one may mislead the reader. However, the alghorithm was correctly calculated.  We chose the MEAF score since recent evidence points towards it outperforming EAD in terms of patient and graft survival after transplant. Please find the relative references below:- Jochmans I, Fieuws S, Monbaliu D, Pirenne J. "Model for Early Allograft Function" Outperforms "Early Allograft Dysfunction" as a Predictor of Transplant Survival. Transplantation. 2017 Aug;101(8):e258-e264. doi: 10.1097/TP.0000000000001833. PMID: 28557956.- Pareja E, Cortes M, Hervás D, Mir J, Valdivieso A, Castell JV, Lahoz A. A score model for the continuous grading of early allograft dysfunction severity. Liver Transpl. 2015 Jan;21(1):38-46. doi: 10.1002/lt.23990. Epub 2014 Nov 24. PMID: 25204890.- Barrueco-Francioni JE, Seller-Pérez G, Lozano-Saéz R, Arias-Verdú MD, Quesada-García G, Herrera-Gutiérrez ME. Early graft dysfunction after liver transplant: Comparison of different diagnostic criteria in a single-center prospective cohort. Med Intensiva (Engl Ed). 2020 Apr;44(3):150-159. English, Spanish. doi: 10.1016/j.medin.2018.09.004. Epub 2018 Oct 24. PMID: 30528954.Being a continuous grading scale for graft dysfunction, the MEAF score can provide additional, granular information that could be used both clinically and as a surrogate endpoint of transplant survival in clinical trials unlike the categorical values obtained for EAD. Furthermore, we found it statistically and methodologically more appropriate to study the potentienl relationship between MEAF and the ICG-PDR variation – rate on this particular cohort. The definition of EAD, as proposed by Olthoff et al., provides a dichotomous variable which needs a vast cohort to obtain statistical significance. The combination of these considerations led us to choose the MEAF score as measure outcome. 4) When you discuss data from donor like steatosis, warm and cold ischemic times, for example, you did not correlate with MEAF, only because the good condition of the donor himself ? Did you considered that could be because you performed the score to soon after liver transplant, on day 1? Or maybe because you had only patients with low MELD and good donors conditions? I would like to know your opinion about.Reply: Thank you for your question. In order to provide an adequate answer, we have prepared a new table showing the relationship between the MEAF Score and the mentioned variables. Please see the table 4 in the new version of the manuscript.  In response to your query about the time point for measuring the MEAF Score, please see the matherials and methods section, where the alghorithm is expressed, lines 103-112. The MEAF score was calculated using the traditional formula, which was validated to consider the max AST and ALT value within the first three post operative days. As suggested by your acute observation, we realize that the recipient’s biochemical data reported in table 2 present values from post-operative day one could have mislead the reader. However, the alghorithm was correctly calculated.5) The value of ICG-PDR on the first day after transplant is a good predictor for EAD, especially to livers from extended criteria, but you did not use those kind of donors, so the variation rate of ICG "represent a measure of the ischemia and reperfusion injury", like you hypothetically said. So this was not related with donor qualities. Do you agree ?Reply: Yes we agree with you, also about the fact that ICG-PDR is a good predictor for EAD and MEAF and that it represents a measure of ischemia and reperfusion injury. In fact, the ICG-PDR variation rate is not applied in this context to assess the graft suitability for transplant (or to define it as good or bad); thank you for your observation.Please see the ref below:- Plevris JN, Jalan R, Bzeizi KI, Dollinger MM, Lee A, Garden OJ, et al. Indocyanine green clearance reflects reperfusion injury following liver transplantation and is an early predictor of graft function. J Hepatol. 1999; 30(1):142-8. - Seifalian AM, El-Desoky H, Delpy DT, Davidson BR. Effects of hepatic ischaemia/reperfusion injury in a rabbit model of Indocyanine Green clearance. Clin Sci (Lond). 2002 May;102(5):579-86. PMID: 11980578.- El-Desoky A, Seifalian AM, Cope M, Delpy DT, Davidson BR. Experimental study of liver dysfunction evaluated by direct indocyanine green clearance using near infrared spectroscopy. Br J Surg. 1999 Aug;86(8):1005-11. doi: 10.1046/j.1365-2168.1999.01186.x. PMID: 10460634.We would need to gather data from a multicenter study to solve this issue; indeed, we are in the process of proposing such an investigation at this moment. 6) You have not seen your data any early allograft dysfunction (EAD), you use only good quality donors and recipients with low MELD. Possibily if our data was more extensive you coud find diferente results? Please I would like to hear your opinion about.Reply: Thank you for your observation. In the previously submitted manuscript we did not configure the transplant outcomes in terms of EAD because as we mentioned above the current evidence from the literature led us to choose a different outcome (MEAF) which is also methodologically more appropriate to be applied in our population. It would certainly be interesting to compare these findings with EAD as outcome, but certainly a large population of liver transplants would be required. Please see the response to your comment nr. 3. This is also why we calculated the ICG-PDR variation as logarithm %. We decide to Log our series to straight out exponential growth features and to reduce heteroscedasticity, stabilizing the variance. This elaboration could build data that can be better fitted by a linear model.We feel also to specify that we did not use only good quality donors - our population was equally distributed and did not suffer a selection bias that could influence our results as you correctly mentioned. Furthermore, to extensively address your question, the functionality of the liver and consequently the PDR value are strictly dependent on the general clinical conditions (e.g. including the stress from the transplant process) of the patient, being either a donor or recipient. Further studies are needed to define whether there is a statistically significant variation in PDR values between standard and marginal (ECD) donors, but this was not the aim of the study in our case. In closing, we hope that our modifications have addressed all the issues raised in your informative and thorough review of the paper. We would be glad to make further changes upon request. On behalf of all the authors, we extend our gratitude to you for your time and assistance with our review. We look forward to hearing your response. Sincerely yours, On behalf of all the authors, Marco Ventin, M.D., and Prof. Luigi Vetrugno, M.D.AttachmentResponse to Reviewers.pdfSubmitted filename: Click here for additional data file. 16 Aug 2021ASSOCIATION BETWEEN THE DONOR TO RECIPIENT ICG-PDR VARIATION RATE AND THE FUNCTIONAL RECOVERY OF THE GRAFT AFTER ORTHOTOPIC LIVER TRANSPLANTATION: A CASE SERIESPONE-D-21-16544R1Dear Dr. Ventin,We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. 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For more information, please contact Kind regards,Yuri Longatto Boteon, M.D., Ph.D.Academic EditorPLOS ONEAdditional Editor Comments :I have read the revised version of the manuscript ‘Association between the donor to recipient ICG-PDR variation rate and the functional recovery of the graft after orthotopic liver transplantation: a case series’ with great interest.Improvements have been made to the manuscript, and the authors addressed significant methodological comments. Due to the predominant descriptive design of the study, I do believe the amendment in the title to ‘A CASE SERIES’ is adequate.The study data has been made available, and there are no competing interests that may affect the integrity of the review process.The limited population of the study leads to some limitations, which are better described in the current version of the manuscript. However, I strongly suggest authors pursue Reviewer 2 suggestions, increase patient population and extend the postoperative follow-up period for future studies. Nevertheless, considering the novelty of the study and the fact that it fulfills PLOS ONE publication criteria, I do believe it is acceptable for publication in the current format. Reviewers' comments:Reviewer's Responses to QuestionsComments to the Author1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.Reviewer #1: All comments have been addressedReviewer #2: (No Response)**********2. Is the manuscript technically sound, and do the data support the conclusions?The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: YesReviewer #2: Partly**********3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: YesReviewer #2: Yes**********4. Have the authors made all data underlying the findings in their manuscript fully available?PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.The Reviewer #1: YesReviewer #2: Yes**********5. Is the manuscript presented in an intelligible fashion and written in standard English?PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.Reviewer #1: YesReviewer #2: Yes**********6. Review Comments to the AuthorPlease use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. Reviewer #1: The authors have fulfilled each of the major compulsory revisions and modified the manuscript as requested. I would think the previous title of “a pilot study” is fine. The paper is not just a report of case series but a study to evaluate the usefulness of ICG-PDR measurement.Reviewer #2: Dear AuthorThank you again for resubmitting your manuscript and prompt reply the questions.I think the change the study title to ''case series" cannot help to better understanding the small number of patients analyzed.Your intention of photographing the liver function in two moments is very interesting for clinical practice indeed. Because of this , in my opinion you could consider to increase your cohort, and add some observation period of time, this way you could avoid some limitations like you comment in discussion: "the small cohort of patients did not allow us to investigate certain aspects."Another issue is about the fact that ICG-PDR is a good predictor for EAD, specially to livers from extended criteria, again maybe if you would gather a bigger data you could solve this issue.**********what does this mean?). If published, this will include your full peer review and any attached files.7. PLOS authors have the option to publish the peer review history of their article (If you choose “no”, your identity will remain anonymous but your review may still be made public.Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.Reviewer #1: NoReviewer #2: No 20 Aug 2021PONE-D-21-16544R1 ASSOCIATION BETWEEN THE DONOR TO RECIPIENT ICG-PDR VARIATION RATE AND THE FUNCTIONAL RECOVERY OF THE GRAFT AFTER ORTHOTOPIC LIVER TRANSPLANTATION: A CASE SERIES Dear Dr. Ventin:I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. onepress@plos.org.If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact plosone@plos.org. If we can help with anything else, please email us at Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staffon behalf ofProf. Yuri Longatto Boteon Academic EditorPLOS ONE


The network of model factors was drawn using inter-factor partial correlations and the statistical significance of each factor. The model with seven features achieved an area under the curve of 0.82, sensitivity of 0.73, and specificity of 0.79. The model prediction was associated with five-year graft and rejection-free survival. Post-transplantation hospitalization >25 days and eGFR ≥ 88.0 were the prominent risk and preventive factors, respectively. Donor age and post-transplantation eGFR < 59.8 were connected to multiple risk factors on the network. Therefore, careful donor–recipient matching in older donors, and avoiding pre-transplantation risk factors, would reduce the risk of graft dysfunction. The model might improve long-term graft outcomes by supporting early detection of graft dysfunction, and proactive risk factor control.We developed a machine-learning-based model that could predict a decrease in one-year graft function after kidney transplantation, and investigated the risk factors of the decreased function. A total of 4317 cases were included from the Korean Organ Transplant Registry (2014–2019). An XGBoost model was trained to predict the recipient’s one-year estimated glomerular filtration rate (eGFR) below 45 mL/min/1.73 m Kidney transplantation is the treatment of choice for patients with end-stage kidney disease, and offers improved survival compared with dialysis . AlthougVarious factors are associated with late allograft failures, and the serum creatinine level at one year after transplantation can predict long-term renal allograft survival ,7,8. The2 at one-year post-transplantation included an advanced age of the donor and recipient, acute rejection within one year, delayed graft function, deceased donor, and the number of human leukocyte antigen (HLA) mismatches . Ca. Ca19]. GPU-accelerated TPOT was used to tune nine hyperparameters of XGBoost . Then, aTime-to-event analyses on death-censored graft loss and biopsy-proven rejection were performed according to the model prediction for the right-censored development data . The totThe statistical significance of the model or known factors was calculated using multiple logistic regression for the development data. In addition to model factors, the age and sex of the donor and recipient were included as covariates.A partial correlation matrix of factors was then generated, and a thresholded extended Bayesian information criterium (EBIC) graphical lasso network was plotted . The netTwo programming languages were used: Python  for preprocessing, machine learning, and survival analysis; and R  for multiple logistic regression and network analysis. DeLong’s confidence intervals of AUC were calculated using the pROC package of R . Detaile2, and the proportion of recipients exhibiting one-year eGFR < 45 mL/min/1.73 m2 was 11% (378/3453) in the training set. Hyperparameter optimization of XGBoost was attempted with 112 variables, and none of the variables were dropped by the regularization of XGBoost. However, a sparse model with seven variables , which included donor and recipient age, low eGFR at discharge, high eGFR at discharge, serum creatinine at discharge, post-transplantation stay, and height difference between donors and recipients, was built by feature selection using the Boruta algorithm.The mean one-year eGFR was 70 (SD 20)  mL/min/1.73 m2, and a post-transplantation hospitalization longer than 25 days increased the probability of a decline in one-year eGFR up to 0.29, 0.15, and 0.15, respectively , sensitivity of 0.73, and specificity of 0.79 on the test data . Externaectively . A groupectively . By contectively . Notablyectively .2 than in those with predicted eGFR > 45 mL/min/1.73 m2  and 2.6 (95% CI 2.3–2.9), respectively, by the effect of associated risk factors (univariate logistic regression).The largest node was “eGFR at discharge ≥88.0”, and the most prominent risk node was “Post-transplantation stay >25” . In addip = 0.03 and p = 0.049, respectively; multiple logistic regression).Two insignificant risk nodes, “Deceased donor” and “Delayed graft function”, were simultaneously connected to two significant risk nodes: “Post-transplantation stay >25” and “eGFR at discharge <59.8” . “Deceas2 was successfully predicted using seven factors , and the predicted decline in one-year eGFR was related to long-term allograft outcomes. Two risk factors, donor age and low eGFR after transplantation, were noticeable on the network because of their multiple positive connections to other risk factors.One-year eGFR < 45 mL/min/1.73 m2 than in the previous report (AUC = 0.7) [A higher performance (AUC = 0.8) of the model was obtained when predicting the one-year eGFR < 45 mL/min/1.73 mC = 0.7) ; howeverA developer configures the XGBoost hyperparameters to obtain the best performance, and the results can vary according to the developer’s experience . This st2 (positive class), which was addressed using class-weighted XGBoost [The minority class is more difficult to predict because a model may focus on learning the characteristics of the abundant cases from the majority class . This st XGBoost . In deta2 correspond to GFR categories in chronic kidney disease, that is, “mildly to moderately decreased”  and “normal or high” , respectively [Some numerical variables were discretized to categorical variables, and the data-driven discretization criteria had clinical relevance. For example, eGFR < 59.8 and ≥ 88.0 mL/min/1.73 mectively . For posectively .Donor age has been reported as the most critical factor governing graft survival and patient mortality after kidney transplantation . “Donor 2 showed the strongest association with a one-year eGFR decrease, and eGFR at discharge <59.8 mL/min/1.73 m2 was a potent risk factor −Height(D)”, and “Number of HLA mismatches”, which means that care should be taken when matching a recipient with an older donor . For exaThe factor network revealed that two known risk nodes, “Deceased donor” and “Delayed graft function”, could be confounded by “eGFR at discharge <59.8” and “Post-transplantation stay >25” through their positive connections . For a dFirst, the relationships among the factors on the network should be considered associative, not causal. However, causal relationships between factors can be suggested if they had temporality and plausibility . Second,An XGBoost-based model successfully predicted the one-year eGFR reduction in kidney transplant recipients with good performance. In addition to the reported factors, novel pre- and peri-transplantation factors were discovered by selecting all relevant features from nationwide cohort data. Donor age and eGFR at discharge had the highest impact on model prediction, and could be primary risk factor control targets. Therefore, this study could help control one-year eGFR-associated risk factors before and after kidney transplantation, and allow physicians to plan preemptive measures when the graft function would be compromised. A practice using the proposed model and network could provide clinical benefits, as model-predicted graft dysfunction is related to long-term graft survival and rejection.