Literature DB >> 24239525

The impact of Model for End-Stage Liver Disease-Na in predicting morbidity and mortality following elective colon cancer surgery irrespective of underlying liver disease.

Marlin Wayne Causey1, Daniel Nelson1, Eric K Johnson1, Justin Maykel2, Brad Davis3, David E Rivadeneira4, Brad Champagne5, Scott R Steele6.   

Abstract

BACKGROUND: The Model for End-Stage Liver Disease Sodium Model (MELD-Na) is a validated scoring system that uses bilirubin, international normalized ratio, serum creatinine, and sodium to predict mortality in cirrhotic patients awaiting liver transplantation. The aim of this study was to identify the utility of MELD-Na to predict patient outcomes, with and without liver disease, after elective colon cancer surgery.
METHODS: A review of the American College of Surgeons National Surgical Quality Improvement Program database (2005 to 2010) was conducted to calculate risk-adjusted 30-day outcomes using regression modeling.
RESULTS: A total of 10,842 patients (mean age, 68 years; 51% women) were included. MELD-Na scores were higher in men (10.2 vs 9.1, P < .001) and in open procedures (9.9 vs 9.1, P < .001). The overall complication and mortality rates were 26.3% and 3.3%, respectively. Incremental increases in MELD-Na score correlated with a 1.2% increase in mortality and a 1.1% increase in complications. On multivariate analysis, complications increased with MELD-Na score (odds ratio [OR], 1.05 per 1 point increase; 95% confidence interval [CI], 1.038 to 1.066). MELD-Na score was also associated with increased mortality (OR, 1.13; 95% CI, 1.1 to 1.16), along with ascites (OR, 5.7; 95% CI, 3.7 to 8.8) and corticosteroids (OR, 2.1; 95% CI, 1.3 to 3.3).
CONCLUSIONS: Elevated preoperative MELD-Na score is significantly associated with worse outcomes after elective resection for colon cancer. Published by Elsevier Inc.

Entities:  

Keywords:  Colectomy; MELD; MELD-Na; NSQIP

Mesh:

Year:  2013        PMID: 24239525     DOI: 10.1016/j.amjsurg.2013.06.008

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


  6 in total

1.  The model for end-stage liver disease predicts outcomes in patients undergoing cholecystectomy.

Authors:  Scott C Dolejs; Joal D Beane; Joshua K Kays; Eugene P Ceppa; Ben L Zarzaur
Journal:  Surg Endosc       Date:  2017-05-10       Impact factor: 4.584

2.  Screening for impaired liver function as a risk factor for drug safety at hospital admission of surgical patients.

Authors:  Dorothea Strobach; Angelika Poppele; Hanna Mannell; Monika Andraschko; Susanne Schiek; Thilo Bertsche
Journal:  Int J Clin Pharm       Date:  2019-12-05

3.  Model for End-Stage Liver Disease Underestimates Morbidity and Mortality in Patients with Ascites Undergoing Colectomy.

Authors:  Matthew M Fleming; Fangfang Liu; Yawei Zhang; Kevin Y Pei
Journal:  World J Surg       Date:  2018-10       Impact factor: 3.352

4.  MELD-Na score associated with postoperative complications in hernia repair in non-cirrhotic patients.

Authors:  K A Schlosser; A M Kao; Y Zhang; T Prasad; K R Kasten; B R Davis; B T Heniford; P D Colavita
Journal:  Hernia       Date:  2018-11-16       Impact factor: 4.739

5.  Predictive factors of early outcome after palliative surgery for colorectal carcinoma.

Authors:  Ralf Konopke; Jörg Schubert; Oliver Stöltzing; Tina Thomas; Stephan Kersting; Axel Denz
Journal:  Innov Surg Sci       Date:  2020-11-02

6.  Risk assessment of morbidities after right hemicolectomy based on the National Clinical Database in Japan.

Authors:  Takahiro Yoshida; Hiroaki Miyata; Hiroyuki Konno; Hiraku Kumamaru; Akira Tangoku; Yoshihito Furukita; Norimichi Hirahara; Go Wakabayashi; Mitsukazu Gotoh; Masaki Mori
Journal:  Ann Gastroenterol Surg       Date:  2018-04-16
  6 in total

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