Evidence map›Paper›PMID 39802854›Full record

ArticleEuroasian journal of hepato-gastroenterology

Predictors of Mortality in Patients with Spontaneous Bacterial Peritonitis.

Danish Kumar, Vijesh Kumar, Raja Taha Yaseen Khan, Partab Dawani, Priya Ramesh, Sheena Kumari, Riya Bai, Abdullah Nasir, Hina Ismail, Zain Majid and 4 more

Abstract read
In one paragraph

Article in Euroasian journal of hepato-gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Danish KumarDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Vijesh KumarDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Raja Taha Yaseen KhanDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.ORCID https://orcid.org/0000-0002-5504-5084
Partab DawaniDepartment of Medicine and Allied Sciences, Chandka Medical College, Shaheed Mohtarma Benazir Bhutto Medical University, Larkana, Pakistan.
Priya RameshDepartment of Medicine and Allied Sciences, Chandka Medical College, Shaheed Mohtarma Benazir Bhutto Medical University, Larkana, Pakistan.
Sheena KumariDepartment of Medicine and Allied Sciences, Chandka Medical College, Shaheed Mohtarma Benazir Bhutto Medical University, Larkana, Pakistan.
Riya BaiDepartment of Medicine and Allied Sciences, Chandka Medical College, Shaheed Mohtarma Benazir Bhutto Medical University, Larkana, Pakistan.
Abdullah NasirJinnah Medical and Dental College, Karachi, Pakistan.
Hina IsmailDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Zain MajidDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Abbas Ali TasneemDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Muhammad Q PanezaiDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Imdad AliDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
Nasir Hasan LuckDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite treatment with antibiotic therapy, spontaneous bacterial peritonitis (SBP) accounts for approximately 20-40% mortality in hospitalized patients. The data is scarce regarding mortality predictors in SBP. Recently, multiple factors have been studied for effectiveness in prognosis prediction in SBP. Therefore, in this study, our main objective was to evaluate the mortality predictors in SBP. Materials and methods: This prospective observational study was conducted at the Department of Hepatogastroenterology, from January 2022 to June 2023. All the patients aged between 18 and 65 years having decompensated chronic liver disease and diagnosed with SBP were enrolled in the study. The excluded population comprised of those who were on hemodialysis, those having history of any solid organ malignancy or transplantation or patients suffering from infections such as those caused by human immunodeficiency virus (HIV) or infections other than SBP. These patients were followed during the hospital stay and after the discharge monthly for 3 months and then at 6 months to assess mortality. Results: A total of 142 cirrhotic patients having SBP were enrolled in the study. Among them, most of them were males [98 (69%)]. Viral hepatitis (65.4%) was the most common cause of cirrhosis in studied population. On univariate analysis, serum total leukocyte count (TLC), international normalized ratio (INR), ascitic TLC, ascitic neutrophils, ascitic lactate, ascitic LDH, CTP score, MELD-Na were significantly higher while serum albumin was significantly lower in the patients who died as compared to those who survived. However, on multivariate cox regression analysis, high serum TLC ( Conclusion: Cirrhotic patients with SBP are at increased risk of mortality. In our study we observed that high prognostic scores such as CTP and MELD-Na at presentation along with increased white blood cell counts and high ascitic fluid lactate levels at presentation are the potential and reliable predictors of mortality in SBP patients. How to cite this article: Kumar D, Kumar V, Khan RTY,

Indexed as

Ascitic fluid lactateCirrhosisMortalityPredictorSpontaneous bacterial peritonitis

Identifiers

PMID39802854
PMCPMC11714104

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.