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• W2032195417 abstract "Background Pay-for-performance measures incorporate surgical site infection rates into reimbursement algorithms without accounting for patient-specific risk factors predictive for surgical site infections and other adverse postoperative outcomes. Methods Using American College of Surgeons National Surgical Quality Improvement Program data of 67,445 colorectal patients, multivariable logistic regression was performed to determine independent risk factors associated with various measures of adverse postoperative outcomes. Results Notable patient-specific factors included (number of models containing predictor variable; range of odds ratios [ORs] from all models): American Society of Anesthesiologists class 3, 4, or 5 (7 of 7 models; OR 1.25 to 1.74), open procedures (7 of 7 models; OR .51 to 4.37), increased body mass index (6 of 7 models; OR 1.15 to 2.19), history of COPD (6 of 7 models; OR 1.19 to 1.64), smoking (6 of 7 models; OR 1.15 to 1.61), wound class 3 or 4 (6 of 7 models; OR 1.22 to 1.56), sepsis (6 of 7 models; OR 1.14 to 1.89), corticosteroid administration (5 of 7 models; OR 1.11 to 2.24), and operation duration more than 3 hours (5 of 7 models; OR 1.41 to 1.76). Conclusions These findings may be used to pre-emptively identify colorectal surgery patients at increased risk of experiencing adverse outcomes." @default.
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• W2032195417 date "2015-02-01" @default.
• W2032195417 modified "2023-09-27" @default.
• W2032195417 title "Patient-specific risk factors are predictive for postoperative adverse events in colorectal surgery: an American College of Surgeons National Surgical Quality Improvement Program–based analysis" @default.
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• W2032195417 doi "https://doi.org/10.1016/j.amjsurg.2014.08.020" @default.
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