Evidence map›Paper›PMID 41033770›Full record

ArticleBMJ open2025

Correlation between complete blood count-derived inflammatory markers and sepsis-associated delirium in older patients: a retrospective analysis of the MIMIC-IV database.

Lu Wang, Zhongmin Tian, Lei Zuo, Yeqiong He, Yanjun Liu, Haitao Liu

Abstract readEvaluation Study
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Lu Wang *Departments of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China.ORCID http://orcid.org/0000-0002-3052-8709
Zhongmin Tian *Departments of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China.
Lei Zuo *Departments of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China.
Yeqiong HeDepartments of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China.
Yanjun LiuDepartments of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China.
Haitao LiuDepartments of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin, China dr633@foxmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the correlation between complete blood count (CBC)-derived inflammatory markers and sepsis-associated delirium (SAD) risk in older intensive care unit (ICU) patients.

designRetrospective cohort study.

settingICUs at Beth Israel Deaconess Medical Center (2008-2019), using the Medical Information Mart for Intensive Care IV V.3.0 database.

participants3412 critically ill patients aged ≥65 years with sepsis. EXCLUSION: repeated ICU admission, death/discharge within 24 hours, missing delirium assessment or pre-sepsis delirium from non-septic aetiologies. SAD was diagnosed by Confusion Assessment Method for the ICU. PRIMARY OUTCOME MEASURE: Incidence of sepsis-associated delirium.

resultsAmong 3412 older sepsis patients, 2092 (61.3%) developed SAD. Significant differences in platelet-to-lymphocyte ratio, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index, systemic inflammation response index, pan-immune-inflammation value and neutrophil-monocyte-to-lymphocyte ratio were observed between SAD and non-SAD groups (all p<0.001). After multivariable adjustment, elevated levels of these markers were associated with increased SAD risk, with MLR showing the strongest association (Q4 vs Q1 adjusted OR=2.66, 95% CI 2.14 to 3.30). Restricted cubic spline analysis revealed non-linear associations between inflammatory marker levels and SAD risk (p for non-linear <0.001). The results of most subgroup analyses were consistent, indicating that the association between inflammatory markers and SAD had high stability (p for interaction >0.05). Receiver operating characteristic and random forest analyses demonstrated predictive utility; incorporating markers into a baseline model significantly improved discrimination, with MLR providing the largest gain (area under the curve (AUC)=0.716 vs 0.703; ΔAUC=0.013, DeLong test, p<0.001).

conclusionCBC-derived inflammatory markers, particularly MLR, are associated with increased SAD risk in older adults and enhance the performance of a clinical prediction model in this population. Further research is needed to better understand the pathophysiological mechanisms underlying these associations.

Indexed as

Blood Cell CountDeliriumInflammationSepsisAgedAged, 80 and overBiomarkersCost-Effectiveness AnalysisCritical IllnessDatabases, FactualEarly DiagnosisFemaleHumansIncidenceIntensive Care UnitsMaleBiomarkersAgedDeliriumInflammationSepsis

Identifiers

PMID41033770
PMCPMC12496065

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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.