Evidence map›Paper›PMID 28983839›Full record

ArticleHepatology international2017

AKI persistence at 48 h predicts mortality in patients with acute on chronic liver failure.

Rakhi Maiwall, Guresh Kumar, Ankit Bharadwaj, Kapil Jamwal, Ajeet Singh Bhadoria, Priyanka Jain, Shiv Kumar Sarin

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Article in Hepatology international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rakhi MaiwallDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, 110070, India.
Guresh KumarDepartment of Biostatistics, Institute of Liver and Biliary Sciences, New Delhi, India.
Ankit BharadwajDepartment of Biostatistics, Institute of Liver and Biliary Sciences, New Delhi, India.
Kapil JamwalDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, 110070, India.
Ajeet Singh BhadoriaDepartment of Biostatistics, Institute of Liver and Biliary Sciences, New Delhi, India.
Priyanka JainDepartment of Biostatistics, Institute of Liver and Biliary Sciences, New Delhi, India.
Shiv Kumar SarinDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, 110070, India. shivsarin@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimManagement of acute kidney injury (AKI) in cirrhotics has undergone a paradigm change. We evaluated the impact of AKI persistence at 48 h on outcome in patients with acute on chronic liver failure (ACLF).

methodsConsecutive patients with ACLF (n = 373) were prospectively followed. AKI was defined as increase in serum creatinine of 0.3 mg/dl or 1.5- to 2-fold from baseline. Persistent AKI was defined as nonresponsive AKI at 48 h with respect to admission serum creatinine.

resultsAKI at admission was present in 177 (47.5 %) patients. At 48 h, 73 % patients had persistent AKI and 27 % had responsive AKI. High Model for End-Stage Liver Disease (MELD) (≥26) [p, odds ratio (OR), 95 % confidence interval (CI)] [<0.001, 3.65 (2.1-3.67)], systemic inflammatory response syndrome (SIRS) [0.03, 1.6 (1.02-21.6)], and age (≥42 years) [0.03, 1.84 (1.19-2.85)] were significant predictors of AKI persistence. Persistent AKI was associated with significantly higher in-hospital mortality [p < 0.001, hazard ratio (HR) 1.7, 95 % CI 1.32-2.27]. We further found a lower cutoff for serum creatinine of 1.14 mg/dl at 48 h with better sensitivity of 61 %, specificity of 61 %, and likelihood ratio (LR+) of 1.6, correctly classifying 61 %, as against the conventional cutoff of 1.5 mg/dl with sensitivity of 37 %, specificity of 57 %, and LR+ of 3.3, correctly classifying 56 %. This new cutoff also predicted mortality with higher odds (OR 2.4, 95 % CI 1.3-4.8) as compared with the conventional cutoff (OR 2.1, 95 % CI 1.1-4.1).

conclusionAKI persistence at 48 h predicts mortality better than serum creatinine of 1.5 mg/dl in patients with ACLF. Serum creatinine value of 1.14 mg/dl and smaller increases in its value should be considered for risk stratification of patients with ACLF for interventional strategies.

Indexed as

Acute Kidney InjuryAcute-On-Chronic Liver FailureAdultAge FactorsCreatinineEnd Stage Liver DiseaseFemaleHospital MortalityHumansLiver CirrhosisMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsSensitivity and SpecificityCreatinineACLFAKIPersistence of AKI

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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.