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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE, METHODS, METHODS, METHODS, RESULTS. Meshes: Adult, Aged, Asialoglycoprotein Receptor, Carcinoma, Hepatocellular, China, Female, Flow Cytometry, Hepatectomy, Hepatocytes, Humans, Liver, Liver Function Tests, Liver Neoplasms, Male, Middle Aged, Postoperative Period, Predictive Value of Tests, ROC Curve, Retrospective Studies, Sensitivity and Specificity.
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Does flow cytometric analysis of asialoglycoprotein receptor expression predict hepatic functional reserve after hepatectomy? Context: To validate a cheaper and more accessible flow cytometry-based method of assessing Asialoglycoprotein Receptor (ASGPR) expression for hepatic functional reserve. A retrospective analysis. Beijing Ditan Hospital, Capital Medical University, Beijing, from January 2011 to October 2013. Patients with Hepatocellular Carcinoma (HCC) undergoing major hepatectomy at Beijing Ditan Hospital, during the study period were retrospectively studied. The fraction of hepatocytes expressing ASGPR in liver tissues was assessed by flow cytometry. Patients were grouped according to the presence or absence of postoperative hepatic dysfunction. The correlation between ASGPR expression and pre-operative liver function parameters with the outcomes of hepatectomy were analyzed. Fewer hepatocytes from patients with postoperative hepatic dysfunction expressed ASGPR [63.3 (57.3 - 68.2)] than from patients without postoperative hepatic dysfunction [72.4 (70.6 - 76.3), p < 0.001]. Multiple logistic regression demonstrated ASGPR levels to be independently correlated with postoperative hepatic dysfunction (Odds ratio 3.34, 95% CI: 2.61-6.02, p < 0.001), and the Receiver Operating Characteristic (ROC) curve for prediction of postoperative liver dysfunction at ≤ 68.95% ASGPR+ hepatocytes achieved a sensitivity of 100% and specificity of 90.6%. The ROC curve for prediction of postoperative liver failure related death at ≤ 58.53% ASGPR+ hepatocytes achieved a sensitivity of 100% and specificity of 99%.
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Flow cytometric assessment of ASGPR expression may be a useful predictor of liver dysfunction following major hepatectomy for HCC in Chinese patients. Final Decision: yes