Evidence map›Paper›PMID 34034650›Full record

ArticleBMC geriatrics2021

Neutrophil-lymphocyte ratio as a predictor of delirium in older internal medicine patients: a prospective cohort study.

Yanli Zhao, Jirong Yue, Peng Lei, Taiping Lin, Xuchao Peng, Dongmei Xie, Langli Gao, Xiaoyu Shu, Chenkai Wu

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
7.9field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Yanli ZhaoDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China.
Jirong YueDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China. yuejirong11@hotmail.com.
Peng LeiDepartment of Neurology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China.
Taiping LinDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China.
Xuchao PengDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China.
Dongmei XieDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China.
Langli GaoDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China.
Xiaoyu ShuDepartment of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China.
Chenkai WuGlobal Health Research Center, Duke Kunshan University, 215300, Kunshan, Jiangsu Province, China.
Sichuan University · CNDuke Kunshan University · CN

Funding

Department of Science and Technology of Sichuan Province 2019YJ0033Health Research of Cadres in Sichuan province SCR 2019-103National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University Z20192014
6 · The paper itself

Abstract

backgroundsDelirium is a common neuropsychiatric syndrome in older hospitalized patients. Previous studies have suggested that inflammation and oxidative stress contribute to the pathophysiology of delirium. However, it remains unclear whether neutrophil-lymphocyte ratio (NLR), an indicator of systematic inflammation, is associated with delirium. This study aimed to investigate the value of NLR as an independent risk factor for delirium among older hospitalized patients.

methodsWe conducted a prospective study of 740 hospitalized patients aged ≥ 70 years in the geriatric ward of West China Hospital of Sichuan University. Neutrophil and lymphocyte counts were collected within 24 h after hospital admission. Delirium was assessed on admission and every 48 h thereafter. We used the receiver operating characteristic analysis to assess the ability of the NLR for predicting delirium. The optimal cut-point value of the NLR was determined based on the highest Youden index (sensitivity + specificity - 1). Patients were categorized according to the cut-point value and quartiles of NLR, respectively. We then used logistic regression to identify the unadjusted and adjusted associations between NLR as a categorical variable and delirium.

resultsThe optimal cut-point value of NLR for predicting delirium was 3.626 (sensitivity: 75.2 %; specificity: 63.4 %; Youden index: 0.386). The incidence of delirium was significantly higher in patients with NLR > 3.626 than NLR ≤ 3.626 (24.5 % vs. 5.8 %; P < 0.001). Significantly fewer patients in the first quartile of NLR experienced delirium than in the third (4.3 % vs. 20.0 %; P < 0.001) and fourth quartiles of NLR (4.3 % vs. 24.9 %; P < 0.001). Results from the multivariable logistic regression models showed that NLR was independently associated with delirium.

conclusionsNLR is a simple and practical marker that can predict the development of delirium in older internal medicine patients.

Indexed as

DeliriumNeutrophilsAgedChinaHumansInternal MedicineLymphocytesProspective StudiesRetrospective StudiesDeliriumNeutrophil-lymphocyte ratioOlder people

Identifiers

PMID34034650
PMCPMC8147036
OpenAlexW3165188820

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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 OpenQuestion graph.