Literature DB >> 24296103

Blood transfusions in colorectal cancer surgery: incidence, outcomes, and predictive factors: an American College of Surgeons National Surgical Quality Improvement Program analysis.

Wissam J Halabi1, Mehraneh D Jafari, Vinh Q Nguyen, Joseph C Carmichael, Steven Mills, Alessio Pigazzi, Michael J Stamos.   

Abstract

BACKGROUND: Data analyzing the short-term outcomes and predictors of blood transfusions (BTs) in colorectal cancer (CRC) surgery are limited.
METHODS: The American College of Surgeons National Surgical Quality Improvement Program (2005 to 2010) was retrospectively reviewed for CRC cases performed with or without BT. Patient demographics, comorbidities, and operative variables were analyzed. Multivariate regression analysis was performed examining the effect of BT on outcomes. The LASSO algorithm for logistic regression was used to build a predictive model for BT taking into account preoperative and operative variables.
RESULTS: A total of 27,120 patients underwent CRC, and 3,815 (14.07%) had BTs. Transfusions were associated with increased mortality (odds ratio [OR], 1.78), morbidity (OR, 2.38), length of stay (mean difference, 3.52 days), pneumonia (OR, 2.70), and surgical-site infection (OR, 1.45). This effect was "dose dependent," as patients receiving ≥3 U of blood had increased morbidity (OR, 1.53), lengths of stay (mean difference, 1.82 days), pneumonia (OR, 2.52), and surgical-site infections (OR, 1.60) compared with those receiving 1 to 2 U. Predictors of BT were hematocrit <38%, open surgery, proctectomy, low platelet count, American Society of Anesthesiologists class IV or V, total colectomy, metastatic cancer, emergency, ascites, and infection. All P values were < .05.
CONCLUSIONS: BTs are associated with worse short-term outcomes after CRC surgery. Knowledge of predictive factors will help in risk stratification and counseling.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Blood transfusions; Colorectal cancer; NSQIP; Outcomes; Predictive factors

Mesh:

Year:  2013        PMID: 24296103     DOI: 10.1016/j.amjsurg.2013.10.001

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


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