Evidence map›Paper›PMID 38016675›Full record

ArticleESC heart failure2024

Association between white blood cell-to-haemoglobin ratio and 30 day mortality in heart failure in intensive care unit.

Li Ren, Zhaoling Li, Lian Duan, Jialiang Gao, Lianfen Qi

Abstract read
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

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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

5 authors.

Li RenCardiovascular Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Zhaoling LiCardiovascular Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Lian DuanCardiovascular Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Jialiang GaoCardiovascular Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Lianfen QiCardiovascular Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

China Academy of Chinese Medical Sciences 59945
6 · The paper itself

Abstract

aimsThe short-term mortality of heart failure (HF) patients admitted to the intensive care unit (ICU) is reported to be high. This study aims to explore the association between white blood cell-to-haemoglobin ratio (WHR) and 30 day mortality from the admission to the ICU. METHODS AND

resultsThis retrospective cohort study was performed based on the Medical Information Mart for Intensive Care III (MIMIC-III) database (2001-12) and MIMIC-IV database (2008-19). Covariables were selected using the least absolute shrinkage and selection operator regression. Based on the optimal cutoff point selected using the survminer package, WHR was divided into high-ratio group (≥1.6) and low-ratio group (<1.6). The association between WHR and the risk of 30 day mortality was explored using univariate and multivariable Cox regression models. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the prediction performance of WHR. A total of 13 702 patients were included. After adjusting the potential covariates, high WHR was associated with a greater risk of 30 day mortality compared with low WHR [hazard ratio = 1.16, 95% confidence interval (CI): 1.07-1.27, P < 0.001]. WHR also showed a good performance for the prediction of risk of 30 day mortality (AUC = 0.751, 95% CI: 0.746-0.756).

conclusionsWHR was positively associated with and performed well to predict 30 day mortality, indicating that WHR may be a reliable index to assess the prognosis of HF patients admitted to the ICU.

Indexed as

Heart FailureIntensive Care UnitsCritical CareHumansPrognosisRetrospective Studies30 day mortalityHeart failureIntensive care unitWhite blood cell-to-haemoglobin ratio

Identifiers

PMID38016675
PMCPMC10804145

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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.