Evidence map›Paper›PMID 29892177›Full record

ArticleJournal of clinical and experimental hepatology2018

Acute on Chronic Liver Failure-In-Hospital Predictors of Mortality in ICU.

Sujay Kulkarni, Mithun Sharma, Padaki N Rao, Rajesh Gupta, Duvvuru N Reddy

Abstract read
In one paragraph

Article in Journal of clinical and experimental hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Prospect of Animal Models for Acute-on-chronic Liver Failure: A Mini-review.Journal of clinical and translational hepatology · 2022
    Review
  7. Predictors of early mortality among patients with acute-on-chronic liver failure.JGH open : an open access journal of gastroenterology and hepatology · 2021
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
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

5 authors.

Sujay KulkarniDepartment of Gastroenterology and Hepatology, Asian Institute of Gastroenterology, Hyderabad, India.
Mithun SharmaDepartment of Gastroenterology and Hepatology, Asian Institute of Gastroenterology, Hyderabad, India.
Padaki N RaoDepartment of Gastroenterology and Hepatology, Asian Institute of Gastroenterology, Hyderabad, India.
Rajesh GuptaDepartment of Gastroenterology and Hepatology, Asian Institute of Gastroenterology, Hyderabad, India.
Duvvuru N ReddyDepartment of Gastroenterology and Hepatology, Asian Institute of Gastroenterology, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe studied in-hospital predictors of mortality of acute on chronic liver failure (ACLF) in Indian patients.

methodsPatients admitted to the intensive care unit of our institute fulfilling the definition of ACLF based on the Asia-Pacific Association for Study of Liver Disease (APASL) consensus were included. Complete history and medical evaluation to assess the etiology of underlying liver cirrhosis and to identify the acute precipitating insult of worsening liver function was done. Data was prospectively recorded and various scoring systems and individual clinical and laboratory parameters were assessed to identify predictors of 28 days mortality.

results64 out of 240 patients screened for ACLF were analyszed in the study. Median age was 44 years and 53% were males. Alcohol was the primary cause of cirrhosis in 60.93%. Infections and active alcoholism was the main precipitating acute insult in 43% and 37% patients respectively. 28% patients had history of ingestion of hepato-toxic drugs as the acute insult. More than one acute insult was seen in 37.5% patients and type-II hepatic injury was the most common type. 28 days in hospital mortality was 43.75% and was highest in patients with sepsis (67.8%). Presence of hepato-renal syndrome and need for ventilation was associated with poor outcome. Though multiple variables were significant in predicting mortality on univariate analysis, yet on regression model only APACHE II and shock could significantly predict mortality with odds ratio of 3.18 and 9.14 respectively. Highest mortality was seen with cerebral and lung as organ failure and mortality increased as the number of organ failure worsened. CLIF-SOFA and APACHE-II scores having area under curve > 0.8 had higher ability to predict mortality.

conclusionACLF carries high short-term mortality and early intervention by liver transplantation should be considered in patients who shows high risk of mortality.

Indexed as

ACLF, acute on chronic liver failureacute on chronic liver failureAPASL, Asia-Pacific Association for Study of Liver DiseaseCLIF-SOFAEASL, European Association for Study of Liver Diseaseintensive care unitmortalitypredictors

Identifiers

PMID29892177
PMCPMC5992306

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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.