Evidence map›Paper›PMID 41995228›Full record

Observational studyClinical cardiology2026

Association Between Lactate/Albumin Ratio and Delirium Risk in Critically Ill Patients With Acute Heart Failure: A Retrospective Cohort Study.

Wenjuan Yan, Yajuan Wang, Qiulan Wen, Pengwei Shi

Abstract readObservational Study
In one paragraph

Observational study in Clinical cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

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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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Wenjuan YanDepartment of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Yajuan WangDepartment of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Qiulan WenDepartment of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
Pengwei ShiEmergency Department, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelirium is a common and serious complication in critically ill patients, particularly those with acute heart failure (HF). The lactate/albumin ratio (LAR) has emerged as a potential biomarker reflecting metabolic and nutritional status, serving as an indicator for delirium risk. This study aims to investigate the association between LAR and delirium incidence in acute heart failure patients.

methodsWe conducted a retrospective observational cohort analysis using the Medical Information Mart for Intensive Care IV (MIMIC-IV-3.1) database, which includes ICU admissions from 2008 to 2022. A total of 1,695 patients diagnosed with acute heart failure were enrolled. LAR was calculated by dividing serum lactate levels by serum albumin levels. Bivariate analyses assessed the relationship between LAR and delirium, while mediation analysis and propensity score matching controlled for confounding variables.

resultsWe found a significant association between elevated LAR values and increased delirium risk. Patients with higher LAR exhibited a markedly higher delirium incidence compared to those with lower levels. Age, body mass index (BMI), and specific comorbidities significantly mediated the relationship between LAR and delirium risk, underscoring the multifactorial nature of delirium development in this population.

conclusionsOur findings suggest that LAR is a valuable biomarker for predicting delirium risk in critically ill acute heart failure patients. Recognizing at-risk patients may enable timely interventions to mitigate delirium and improve ICU outcomes. Further research is warranted to validate these findings and explore targeted management strategies.

Indexed as

Critical IllnessDeliriumHeart FailureLactic AcidSerum AlbuminAcute DiseaseAgedBiomarkersFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsBiomarkersLactic AcidSerum Albuminacute heart failurecritical caredeliriumlactate/albumin ratiometabolic derangements

Identifiers

PMID41995228
PMCPMC13088263

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.