Serum markers for predicting abdominal surgery outcomes in patients with cirrhosis

J Gastrointest Surg. 2013 Apr;17(4):696-701. doi: 10.1007/s11605-013-2157-x. Epub 2013 Feb 12.

Abstract

Background: Determinants of adverse events for cirrhotic patients undergoing abdominal surgery have not been adequately assessed. Child-Turcotte-Pugh (CTP) and Model for End-Stage Liver Disease (MELD) have estimated perioperative outcomes with inconsistent results. Our study sought to combine novel serum markers with CTP and MELD to improve prognostication of 30-day postoperative mortality or liver transplant in cirrhotic patients undergoing abdominal surgery.

Methods: A review was performed on 120 cirrhotic patients undergoing nonhepatic abdominal surgeries at Mount Sinai Medical Center from 2001-2011. Preoperative serum markers were evaluated by logistic regression and receiver-operator characteristics. Prognostic ability of scoring systems was assessed using Youden's J statistic (J).

Results: Albumin and hematocrit were independently predictive of 30-day mortality or transplant with optimal cutoff values of albumin at <3.05 mg/dl and hematocrit at <35.55 %. Adding these criteria to CTP>A, CTP>B, MELD ≥ 10, MELD ≥ 15, and MELD ≥ 20 improved sensitivity and specificity by an average of 6.1 and 32.1 %, respectively. The highest J values resulted from combining novel criteria with CTP>A (sensitivity, 80 %; specificity, 82 %; p < 0.01; J, 0.63) and MELD ≥ 10 (sensitivity, 63 %; specificity, 90 %; p < 0.01; J, 0.53).

Conclusion: Augmenting CTP and MELD with albumin and hematocrit significantly improved the identification of cirrhotic patients at risk of 30-day mortality or transplantation following nonhepatic abdominal surgery.

MeSH terms

  • Abdomen / surgery
  • Biomarkers / blood
  • Female
  • Humans
  • Liver Cirrhosis / blood*
  • Liver Cirrhosis / surgery*
  • Liver Transplantation / statistics & numerical data
  • Male
  • Middle Aged
  • Postoperative Complications / epidemiology*
  • Predictive Value of Tests
  • Prognosis
  • Retrospective Studies

Substances

  • Biomarkers