 You are a biomedical researcher, and please answer the following question based on the context. 
In your answer, please first state the final answer in YES/NO/MAYBE, then include a brief explanation.

### Question: Should Risk Adjustment for Surgical Outcomes Reporting Include Sociodemographic Status?

### Context: 1: Public reporting of surgical outcomes must adjust for patient risk. However, whether patient sociodemographic status (SDS) should be included is debatable. Our objective was to empirically compare risk-adjustment models and hospital ratings with or without SDS factors for patients undergoing coronary artery bypass grafting.
2: This is a retrospective analysis of the California Coronary Artery Bypass Grafting Outcomes Reporting Program, 2011-2012. Outcomes included 30-day or in-hospital mortality, perioperative stroke, and 30-day readmission. Sociodemographic status factors included race, language, insurance, ZIP code-based median income, and percent that were a college graduate. The c-statistic and goodness-of-fit were compared between models with and without SDS factors. Differences in hospital performance rating when adjusting for SDS were also compared.
3: None of the SDS factors predicted mortality. Income, education, and language had no impact on any outcomes. Insurance predicted stroke (MediCal vs private insurance, odds ratio [OR] = 1.91; 95% CI, 1.11-3.31; p = 0.020) and readmissions (Medicare vs private insurance, OR = 1.36; 95% CI, 1.16-1.61; p<0.001; MediCal vs private insurance, OR = 1.56; 95% CI, 1.26-1.94; p<0.001). Race also predicted stroke (Asian vs white, OR = 2.26; p<0.001). Adding SDS factors improved the c-statistic in readmission only (0.652 vs 0.645; p = 0.008). Goodness-of-fit worsened when adding SDS factors to mortality models, but was no different in stroke or readmissions. Hospital performance rating only changed in readmissions; of 124 hospitals, only 1 hospital moved from "better" to "average" when adjusting for SDS.


###Response: Adjusting for insurance improves statistical models when analyzing readmissions after coronary artery bypass grafting, but does not impact hospital performance ratings substantially. Deciding whether SDS should be included in a patient's risk profile depends on valid measurements of SDS and requires a nuanced approach to assessing how these variables improve risk-adjusted models.
 