Evidence map›Paper›PMID 41082514›Full record

ArticlePloS one2025

The prognostic value of the direct bilirubin to albumin ratio in critically ill patients with cirrhosis: Insights from MIMIC-IV database.

XingYi Yang, GuangDong Wang, Zhang Min, LiHong Lv, Ji Yang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

XingYi YangDepartment of Gastroenterology Disease, XianJu People's Hospital, Zhejiang Southeast Campus of Zhejiang Provincial People's Hospital, Affiliated Xianju's Hospital, Hangzhou Medical College, Xianju, Zhejiang, China.
GuangDong WangDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiao tong University, Xi an, Shanxi, China.
Zhang MinDepartment of Gastroenterology Disease, XianJu People's Hospital, Zhejiang Southeast Campus of Zhejiang Provincial People's Hospital, Affiliated Xianju's Hospital, Hangzhou Medical College, Xianju, Zhejiang, China.
LiHong LvDepartment of Gastroenterology Disease, XianJu People's Hospital, Zhejiang Southeast Campus of Zhejiang Provincial People's Hospital, Affiliated Xianju's Hospital, Hangzhou Medical College, Xianju, Zhejiang, China.
Ji YangDepartment of Gastroenterology Disease, XianJu People's Hospital, Zhejiang Southeast Campus of Zhejiang Provincial People's Hospital, Affiliated Xianju's Hospital, Hangzhou Medical College, Xianju, Zhejiang, China.ORCID https://orcid.org/0009-0007-1062-8749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with severe cirrhosis are at a higher risk of mortality. This study aimed to investigate the association between the direct bilirubin-to-albumin ratio (DBAR) and 28-day mortality in critically ill cirrhotic patients using data from the publicly available MIMIC-IV database.

methodsThis study explores DBAR's relationship with 28-day mortality in severe cirrhosis patients. We first conducted univariate and multivariate analyses to identify independent risk factors. Then, we used Kaplan-Meier (KM) survival analysis to assess DBAR's link with survival time and created KM curves. DBAR's predictive accuracy was evaluated using Receiver Operating Characteristic (ROC) analysis, and the relationship was examined using restricted cubic spline modeling and subgroup analyses.

resultThis study enrolled 509 cirrhotic patients with in-hospital and ICU mortality rates of 22.3% and 14.3%, respectively. Univariate and multivariate analyses revealed a significant association between DBAR and 28-day mortality risk, with a hazard ratio of 1.16 (95% CI: 1.10-1.24, p < 0.001), confirming DBAR as an independent risk factor for short-term prognosis. DBAR demonstrated good predictive accuracy for 28-day mortality (AUC = 0.702, 95% CI: 0.650-0.753). Patients were divided into low-risk (DBAR < 4) and high-risk (DBAR ≥ 4) groups, with the high-risk group showing a hazard ratio of 3.05 (95% CI 1.87-4.97, p < 0.001) after multivariate adjustment. Restricted cubic spline (RCS) analysis identified a nonlinear relationship between DBAR and 28-day prognosis (p-Nonlinear = 0.022, p < 0.001). Subgroup analysis showed no interaction between DBAR and most subgroups.

conclusionThe DBAR scoring system offers an efficient and user-friendly approach for assessing prognosis in critically ill cirrhotic patients.

Indexed as

BilirubinLiver CirrhosisSerum AlbuminAdultAgedCritical IllnessDatabases, FactualFemaleHospital MortalityHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisRisk FactorsROC CurveBilirubinSerum Albumin

Identifiers

PMID41082514
PMCPMC12517503

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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.