Literature DB >> 31400909

Model for End-Stage Liver Disease Score Predicts Development of First Episode of Spontaneous Bacterial Peritonitis in Patients With Cirrhosis.

Rashid Khan1, Sujan Ravi2, Sakkarin Chirapongsathorn3, Whitney Jennings4, Habeeb Salameh1, Kirk Russ4, Matt Skinner2, Sandhya Mudumbi2, Douglas Simonetto3, Yong-Fang Kuo5, Patrick S Kamath3, Ashwani K Singal6.   

Abstract

OBJECTIVE: To examine whether baseline model for end-stage liver disease (MELD) score in patients with cirrhosis and ascites predicts the future development of first spontaneous bacterial peritonitis (SBP) episode.
METHODS: A retrospective case-control study was performed at three academic centers to select patients admitted with first SBP episode (cases) and those with ascites admitted for decompensation without SBP (controls). Medical records from these centers were reviewed between January 1, 2008, and December 31, 2013. Cases and controls were matched (1:2) for age, sex, and race. Conditional logistic recession models were built to determine whether baseline MELD score (within a month before hospitalization) predicts first SBP episode.
RESULTS: Of 697 patients (308, 230, and 159 from centers A, B, and C, respectively), cases and controls were matched in 94%, 89%, and 100% at three respective centers. In the pooled sample, probability of SBP was 11%, 31%, 71%, and 93% at baseline MELD scores less than or equal to 10, from 11 to 20, from 21 to 30, and greater than 30, respectively. Compared with MELD score less than or equal to 10, patients with MELD scores from 11 to 20, 21 to 30, and greater than 30 had six- (3- to 11-), 29- (12- to 69-), and 115- (22- to 598-) folds (95% CI) risk of SBP, respectively. Based on different MELD score cutoff points, MELD score greater than 17 was most accurate in predicting SBP occurrence. Analyzing 315 patients (152 cases) with available data on ascitic fluid protein level controlling for age, sex, and center, MELD score but not ascitic fluid protein associated with first SBP episode with respective odds ratios of 1.20 (1.14 to 1.26) and 0.88 (0.70 to 1.11).
CONCLUSION: Baseline MELD score predicts first SBP episode in patients with cirrhosis and ascites.
Copyright © 2019 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31400909     DOI: 10.1016/j.mayocp.2019.02.027

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  5 in total

1.  Non-hepatic Cancers Independently Predict Liver Decompensation Events.

Authors:  Yuchen Wang; Bashar M Attar; Rohit Agrawal; Ishaan Vohra; Muhammad Zain Farooq; Sheeba Ba Aqeel; Melchor Demetria
Journal:  J Gastrointest Cancer       Date:  2021-06

2.  Proton Pump Inhibitor Therapy Increases the Risk of Spontaneous Bacterial Peritonitis in Patients with HBV-Related Acute-on-Chronic Liver Failure.

Authors:  Meng Zhang; Xin Xu; Wei Liu; Zhongwei Zhang; Qiuyu Cheng; Zhongyuan Yang; Tingting Liu; Yunhui Liu; Qin Ning; Tao Chen; Junying Qi
Journal:  Adv Ther       Date:  2021-07-25       Impact factor: 3.845

3.  The value of ascitic neutrophil gelatinase-associated lipocalin in decompensated liver cirrhosis with spontaneous bacterial peritonitis.

Authors:  Hua Liu; Ping Zhu; Caiyun Nie; Qing Ye; Yanying Gao; Huaiping Liu; Guoju Pang; Tao Han
Journal:  J Clin Lab Anal       Date:  2020-02-26       Impact factor: 2.352

4.  Spontaneous bacterial peritonitis: a prospective Greek multicenter study of its epidemiology, microbiology, and outcomes.

Authors:  Dimitrios N Samonakis; Nikolaos Gatselis; Aristea Bellou; Dimitra Sifaki-Pistolla; Maria Mela; George Demetriou; Evangelos Thalassinos; Eirini I Rigopoulou; Polyxeni Kevrekidou; Ioannis Tziortziotis; Kalliopi Azariadi; Melina Kavousanaki; Emmanuel Digenakis; Themistoklis Vassiliadis; Elias A Kouroumalis; George N Dalekos
Journal:  Ann Gastroenterol       Date:  2021-11-10

5.  Explainable machine learning model for predicting spontaneous bacterial peritonitis in cirrhotic patients with ascites.

Authors:  Yingying Hu; Ruijia Chen; Haibing Gao; Haitao Lin; Jinye Wang; Xiaowei Wang; Jingfeng Liu; Yongyi Zeng
Journal:  Sci Rep       Date:  2021-11-04       Impact factor: 4.379

  5 in total

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