title: Assessment of the Addition of Hypoalbuminemia to ACS-NSQIP Surgical Risk Calculator in Colorectal Cancer.
abstract: The aim of this study was to evaluate the benefit of adding hypoalbuminemia to the American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) Surgical Risk Calculator when predicting postoperative outcomes in colorectal cancer patients.The ACS-NSQIP Surgical Risk Calculator offers qualified risk evaluation in surgical decision-making and informed patient consent. To date, malnutrition defined as hypoalbuminemia, an important independent surgical risk factor in colorectal cancer, is not included.This is a retrospective, multi-institutional study of ACS-NSQIP patients (n = 18,532) who received colorectal surgery from 2009 to 2012. Models were constructed for predicting postoperative mortality and morbidity using the risk factors of the ACS-NSQIP Surgical Risk Calculator before and after adding hypoalbuminemia as a risk factor. The 2 models' performance was then compared using c-statistics and Brier scores. The ACS-NSQIP database in 2008 was used for validation of the created models.The prevalence of hypoalbuminemia (27.8%) is higher in colorectal cancer, when compared with other most common cancers. In univariate analyses, hypoalbuminemia was significantly associated with postoperative mortality and morbidity in colorectal cancer patients. In multivariate logistic regression analyses, 15 postoperative complications, including mortality and serious morbidities, were significantly predicted by hypoalbuminemia. Most of the models with hypoalbuminemia showed better performance and validation in predicting postoperative complications than those without hypoalbuminemia.In colorectal cancer, hypoalbuminemia, with levels below 3.5 g/dL, serves as an excellent assessment tool and preoperative predictor of postoperative outcomes. When combined with hypoalbuminemia as a risk factor, the ACS-NSQIP Surgical Risk Calculator offers more accurate information and estimation of surgical risks to patients and surgeons when choosing treatment options.
authors.affiliation: From the Department of Surgery (W-HH, SE, LP, BC, SR) and Rebecca and John Moores Cancer Center (W-HH, SE, LP, SR), University of California San Diego Health System, La Jolla, CA; Department of Colorectal Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan (W-HH, H-HC, K-CL); Department of Surgery, Veteran's Administration San Diego Healthcare System, La Jolla (BC); and Division of Biostatistics and Bioinformatics, School of Medicine, University of California, San Diego (LL), CA.
authors.forename: Wan-Hsiang
authors.initials: WH
authors.lastname: Hu
authors.forename: Hong-Hwa
authors.initials: HH
authors.lastname: Chen
authors.forename: Ko-Chao
authors.initials: KC
authors.lastname: Lee
authors.forename: Lin
authors.initials: L
authors.lastname: Liu
authors.forename: Samuel
authors.initials: S
authors.lastname: Eisenstein
authors.forename: Lisa
authors.initials: L
authors.lastname: Parry
authors.forename: Bard
authors.initials: B
authors.lastname: Cosman
authors.forename: Sonia
authors.initials: S
authors.lastname: Ramamoorthy
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015179:Colorectal Neoplasms / Q000150:complications / Q000401:mortality / Q000601:surgery*; D003107:Colorectal Surgery / Q000009:adverse effects*; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D034141:Hypoalbuminemia / Q000453:epidemiology / Q000209:etiology*; D008297:Male; D009017:Morbidity / Q000639:trends; D011183:Postoperative Complications / Q000453:epidemiology*; D011379:Prognosis; D058996:Quality Improvement; D012189:Retrospective Studies; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D015996:Survival Rate / Q000639:trends; D014481:United States / Q000453:epidemiology