Literature DB >> 29521663

Predicting mortality in patients with spontaneous bacterial peritonitis using routine inflammatory and biochemical markers.

Raim Iliaz1, Tahsin Ozpolat2, Bulent Baran3, Kadir Demir1, Sabahattin Kaymakoglu1, Fatih Besisik1, Filiz Akyuz1.   

Abstract

OBJECTIVES: Spontaneous bacterial peritonitis (SBP) is a common and high-mortality infectious complication of patients with cirrhosis. New inflammatory markers are associated with morbidity/mortality in various diseases. The aim of our study was to find the 30-day mortality rate of SBP and their predictors. PATIENTS AND METHODS: Seventy patients with cirrhosis complicated with SBP and 55 non-SBP controls were enrolled into the study, and patients were evaluated for mortality rate and its predictors.
RESULTS: The 30-day and 3-month mortality rates in the SBP group were 26.1 and 50.7%, respectively. Mortality rates were higher in the SBP group than in the controls. Symptoms at hospital admission and cell counts in ascitic fluid made no difference in predicting 30-day mortality. Patients with SBP with high serum neutrophil counts, high neutrophil-lymphocyte ratio, high C reactive protein (CRP)/albumin ratio, and high model for end-stage liver disease (MELD) score had higher 30-day mortality rates. We determined optimal cutoff values of MELD scores and serum neutrophil counts for predicting 30-day mortality as 20.5 and 6850/mm, respectively. The sensitivity and specificity for the MELD cutoff value were 83.3 and 80.4%, respectively. We also followed up patients for 60 months after SBP; the patients with high inflammatory markers and MELD scores at the time of SBP diagnosis had worse survival compared with the group with lower levels.
CONCLUSION: Our results suggest that SBP has high 30-day mortality. MELD scores and inflammatory markers (CRP, CRP albumin ratio, neutrophil-lymphocyte ratio) may be used to predict mortality in patients with SBP.

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Year:  2018        PMID: 29521663     DOI: 10.1097/MEG.0000000000001111

Source DB:  PubMed          Journal:  Eur J Gastroenterol Hepatol        ISSN: 0954-691X            Impact factor:   2.566


  7 in total

1.  Short- and long-term predictors of spontaneous bacterial peritonitis in Singapore.

Authors:  Yu Jun Wong; Rajamanickam Chandrasekaran Kalki; Kenneth Weicong Lin; Rahul Kumar; Jessica Tan; Eng Kiong Teo; James Weiquan Li; Tiing Leong Ang
Journal:  Singapore Med J       Date:  2019-07-30       Impact factor: 1.858

2.  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

3.  Establishment and Validation of a Non-Invasive Diagnostic Nomogram to Identify Spontaneous Bacterial Peritonitis in Patients With Decompensated Cirrhosis.

Authors:  Shoushu Xiang; Juntao Tan; Chao Tan; Qian Xu; Yuanjiu Wen; Tiantian Wang; Chen Yang; Wenlong Zhao
Journal:  Front Med (Lausanne)       Date:  2022-01-31

Review 4.  Neutrophil to Lymphocyte Ratio and Spontaneous Bacterial Peritonitis among Cirrhotic Patients: A Systematic Review and Meta-analysis.

Authors:  Seyed Arsalan Seyedi; Seyed Ali Nabipoorashrafi; Jairo Hernandez; Andrew Nguyen; Brandon Lucke-Wold; Shima Nourigheimasi; Shokoufeh Khanzadeh
Journal:  Can J Gastroenterol Hepatol       Date:  2022-09-27

5.  Efficacy predictors of third-generation cephalosporins in treating spontaneous bacterial peritonitis.

Authors:  Long-Chuan Zhu; Wei Wu; Bo Zou; Da-Kai Gan; Xue Lin; Wei Zhou; Mo-Long Xiong
Journal:  Medicine (Baltimore)       Date:  2022-10-07       Impact factor: 1.817

6.  Acute kidney injury in critically ill cirrhotic patients with spontaneous bacterial peritonitis: a comparison of KDIGO and ICA criteria.

Authors:  Jian Xiong; Ming Zhang; Xinjie Guo; Lin Pu; Haofeng Xiong; Pan Xiang; Jingyuan Liu; Ang Li
Journal:  Arch Med Sci       Date:  2019-05-17       Impact factor: 3.318

7.  C-Reactive Protein/Albumin Ratio Correlates With Disease Severity and Predicts Outcome in Patients With Aneurysmal Subarachnoid Hemorrhage.

Authors:  Dingding Zhang; Huiying Yan; Yongxiang Wei; Xiangyu Liu; Zong Zhuang; Wei Dai; Jinsong Li; Wei Li; Chunhua Hang
Journal:  Front Neurol       Date:  2019-11-12       Impact factor: 4.003

  7 in total

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