Literature DB >> 33788365

External Validation of the VOCAL-Penn Cirrhosis Surgical Risk Score in 2 Large, Independent Health Systems.

Nadim Mahmud1,2,3,4, Zachary Fricker5, Sarjukumar Panchal6, James D Lewis1,3,4, David S Goldberg7, David E Kaplan1,2.   

Abstract

Cirrhosis poses an increased risk of postoperative mortality, yet it remains challenging to accurately risk stratify patients in clinical practice. The VOCAL-Penn cirrhosis surgical risk score was recently developed and internally validated in the national Veterans Affairs health system; however, to date this score has not been evaluated in independent cohorts. The goal of this study was to compare the predictive performance of the VOCAL-Penn to the Mayo risk, Model for End-Stage Liver Disease (MELD), and MELD-sodium (MELD-Na) scores in 2 large health systems. We performed a retrospective cohort study of patients with cirrhosis undergoing surgical procedures of interest at the Beth Israel Deaconess Medical Center or University of Pennsylvania Health System from January 1, 2008, to October 1, 2015. The outcomes of interest were 30-day and 90-day postoperative mortality. Concordance statistics (C-statistics), calibration curves, Brier scores, and the index of prediction accuracy (IPA) were compared for each predictive model. A total of 855 surgical procedures were identified. The VOCAL-Penn score had the numerically highest C-statistic for 90-day postoperative mortality (eg, 0.82 versus 0.79 Mayo versus 0.78 MELD-Na versus 0.79 MELD), although differences were not statistically significant. Calibrations were excellent for the VOCAL-Penn, MELD, and MELD-Na; however, the Mayo score consistently overestimated risk. The VOCAL-Penn had the lowest Brier score and highest IPA at both time points, suggesting superior overall predictive model performance. In subgroup analyses of patients with higher MELD scores, the VOCAL-Penn had significantly higher C-statistics compared with the MELD and MELD-Na. The VOCAL-Penn score (www.vocalpennscore.com) has excellent discrimination and calibration for postoperative mortality among diverse patients with cirrhosis. Overall performance is superior to the Mayo, MELD, and MELD-Na scores. In contrast to the MELD/MELD-Na, the VOCAL-Penn retains excellent discrimination among patients with higher MELD scores.
Copyright © 2021 by the American Association for the Study of Liver Diseases.

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Year:  2021        PMID: 33788365      PMCID: PMC8283779          DOI: 10.1002/lt.26060

Source DB:  PubMed          Journal:  Liver Transpl        ISSN: 1527-6465            Impact factor:   6.112


  19 in total

1.  A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts.

Authors:  M Malinchoc; P S Kamath; F D Gordon; C J Peine; J Rank; P C ter Borg
Journal:  Hepatology       Date:  2000-04       Impact factor: 17.425

2.  In-Hospital mortality varies by procedure type among cirrhosis surgery admissions.

Authors:  Nadim Mahmud; Zachary Fricker; Marina Serper; David E Kaplan; Kenneth D Rothstein; David S Goldberg
Journal:  Liver Int       Date:  2019-06-17       Impact factor: 5.828

3.  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

4.  [Usefulness of model for end-stage liver disease score for predicting mortality after intra-abdominal surgery in patients with liver cirrhosis in a single hospital].

Authors:  Chang Seok Song; Min Yong Yoon; Hong Joo Kim; Jung Ho Park; Dong Il Park; Yong Kyun Cho; Chong Il Sohn; Woo Kyu Jeon; Byung Ik Kim
Journal:  Korean J Gastroenterol       Date:  2011-06

5.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

6.  Trends in burden of cirrhosis and hepatocellular carcinoma by underlying liver disease in US veterans, 2001-2013.

Authors:  Lauren A Beste; Steven L Leipertz; Pamela K Green; Jason A Dominitz; David Ross; George N Ioannou
Journal:  Gastroenterology       Date:  2015-08-05       Impact factor: 22.682

7.  Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

Authors:  Karel G M Moons; Douglas G Altman; Johannes B Reitsma; John P A Ioannidis; Petra Macaskill; Ewout W Steyerberg; Andrew J Vickers; David F Ransohoff; Gary S Collins
Journal:  Ann Intern Med       Date:  2015-01-06       Impact factor: 25.391

8.  Recalibrating the Child-Turcotte-Pugh Score to Improve Prediction of Transplant-Free Survival in Patients with Cirrhosis.

Authors:  David E Kaplan; Feng Dai; Melissa Skanderson; Ayse Aytaman; Michelle Baytarian; Kathryn D'Addeo; Rena Fox; Kristel Hunt; Astrid Knott; Rajni Mehta; Marcos Pedrosa; Christine Pocha; Adriana Valderrama; Tamar Taddei
Journal:  Dig Dis Sci       Date:  2016-07-12       Impact factor: 3.199

9.  The index of prediction accuracy: an intuitive measure useful for evaluating risk prediction models.

Authors:  Michael W Kattan; Thomas A Gerds
Journal:  Diagn Progn Res       Date:  2018-05-04

10.  Risk Prediction Models for Post-Operative Mortality in Patients With Cirrhosis.

Authors:  Nadim Mahmud; Zachary Fricker; Rebecca A Hubbard; George N Ioannou; James D Lewis; Tamar H Taddei; Kenneth D Rothstein; Marina Serper; David S Goldberg; David E Kaplan
Journal:  Hepatology       Date:  2020-12-10       Impact factor: 17.425

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  3 in total

Review 1.  Surgical Risk Assessment in Patients with Chronic Liver Diseases.

Authors:  Shekhar S Jadaun; Sanjiv Saigal
Journal:  J Clin Exp Hepatol       Date:  2022-03-23

2.  Modeling Optimal Clinical Thresholds for Elective Abdominal Hernia Repair in Patients With Cirrhosis.

Authors:  Nadim Mahmud; David S Goldberg; Samir Abu-Gazala; James D Lewis; David E Kaplan
Journal:  JAMA Netw Open       Date:  2022-09-01

3.  Risk Prediction Models for Postoperative Decompensation and Infection in Patients With Cirrhosis: A Veterans Affairs Cohort Study.

Authors:  Nadim Mahmud; Zachary Fricker; James D Lewis; Tamar H Taddei; David S Goldberg; David E Kaplan
Journal:  Clin Gastroenterol Hepatol       Date:  2021-07-08       Impact factor: 13.576

  3 in total

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