Literature DB >> 27216407

Should We Use the Model for End-Stage Liver Disease (MELD) to Predict Mortality After Colorectal Surgery?

Haddon Jacob Pantel1, Kristian D Stensland2, Jason Nelson3, Todd D Francone2, Patricia L Roberts2, Peter W Marcello2, Thomas Read2, Rocco Ricciardi2,3.   

Abstract

We sought to determine the accuracy of the Model for End-Stage Liver Disease and the Mayo Clinic Postoperative Mortality Risk in Patients with Cirrhosis Calculator in patients with ascites who underwent colorectal surgery. The National Surgical Quality Improvement Program database was queried for patients with ascites who underwent a major colorectal operation. Predicted 90-day mortality rate based on the Model for End-Stage Liver Disease and 30-day mortality based on the Mayo Clinic Postoperative Mortality Risk in Patients with Cirrhosis Calculator were compared with observed 30-day mortality. The cohort contained 3137 patients with ascites who underwent a colorectal operation. The Model for End-Stage Liver Disease predicted that 252 (8 %) of patients with ascites undergoing colorectal operations would die within 90 days postoperatively, yet we observed 821 deaths (26 % mortality) within 30 days after surgery (p < 0.001). The Mayo Clinic Postoperative Mortality Risk in Patients with Cirrhosis Calculator predicted that 491 (16.6 % mortality) of patients with ascites undergoing colorectal operations would die within 30 days postoperatively, yet we observed 707 (23.9 % mortality) at 30 days (p < 0.01). We concluded that the current risk prediction models significantly under predict mortality in patients with ascites who underwent colorectal surgery.

Entities:  

Keywords:  Ascites [C23.550.081]; Colorectal surgery [H02.403.810.208]; End-stage liver disease [C06.552.308.500.177]

Mesh:

Year:  2016        PMID: 27216407     DOI: 10.1007/s11605-016-3167-2

Source DB:  PubMed          Journal:  J Gastrointest Surg        ISSN: 1091-255X            Impact factor:   3.452


  13 in total

1.  Management of adult patients with ascites due to cirrhosis.

Authors:  Bruce A Runyon
Journal:  Hepatology       Date:  2004-03       Impact factor: 17.425

2.  Use of national surgical quality improvement program data as a catalyst for quality improvement.

Authors:  Katherine S Rowell; Florence E Turrentine; Matthew M Hutter; Shukri F Khuri; William G Henderson
Journal:  J Am Coll Surg       Date:  2007-06       Impact factor: 6.113

3.  Adverse outcomes in patients with chronic liver disease undergoing colorectal surgery.

Authors:  Amir A Ghaferi; Amit K Mathur; Christopher J Sonnenday; Justin B Dimick
Journal:  Ann Surg       Date:  2010-08       Impact factor: 12.969

4.  Model for End-stage Liver Disease (MELD) in predicting postoperative mortality of patients undergoing colorectal surgery.

Authors:  Traci L Hedrick; Brian R Swenson; Charles M Friel
Journal:  Am Surg       Date:  2013-04       Impact factor: 0.688

5.  Care of patients with ascites.

Authors:  B A Runyon
Journal:  N Engl J Med       Date:  1994-02-03       Impact factor: 91.245

6.  Risk factors for mortality after surgery in patients with cirrhosis.

Authors:  Swee H Teh; David M Nagorney; Susanna R Stevens; Kenneth P Offord; Terry M Therneau; David J Plevak; Jayant A Talwalkar; W Ray Kim; Patrick S Kamath
Journal:  Gastroenterology       Date:  2007-01-25       Impact factor: 22.682

Review 7.  Accuracy of MELD scores in predicting mortality in decompensated cirrhosis from variceal bleeding, hepatorenal syndrome, alcoholic hepatitis, or acute liver failure as well as mortality after non-transplant surgery or TIPS.

Authors:  Mohamad R Al Sibae; Mitchell S Cappell
Journal:  Dig Dis Sci       Date:  2010-09-16       Impact factor: 3.199

8.  Early mortality and long-term survival after abdominal surgery in patients with liver cirrhosis.

Authors:  Hannes P Neeff; Geraldine C Streule; Oliver Drognitz; Dietlind Tittelbach-Helmrich; Hans-Christian Spangenberg; Ulrich T Hopt; Frank Makowiec
Journal:  Surgery       Date:  2013-11-22       Impact factor: 3.982

9.  Model for end-stage liver disease (MELD) and allocation of donor livers.

Authors:  Russell Wiesner; Erick Edwards; Richard Freeman; Ann Harper; Ray Kim; Patrick Kamath; Walter Kremers; John Lake; Todd Howard; Robert M Merion; Robert A Wolfe; Ruud Krom
Journal:  Gastroenterology       Date:  2003-01       Impact factor: 22.682

Review 10.  Ascitic Fluid Analysis in the Differential Diagnosis of Ascites: Focus on Cirrhotic Ascites.

Authors:  Lin-Lin Huang; Harry Hua-Xiang Xia; Sen-Lin Zhu
Journal:  J Clin Transl Hepatol       Date:  2014-03-15
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  1 in total

1.  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

  1 in total

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