Evidence map›Paper›PMID 38030411›Full record

ArticleESC heart failure2024

Relationship between initial red cell distribution width and ΔRDW and mortality in cardiac arrest patients.

Lei Zhong, Zeng-Yu Zhang, Xiao-Wei Ji, Hai-Li Wang, Bo Xie, Xiang-Hong Yang

Open access · goldAbstract 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 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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  3. Article
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

6 authors at 2 institutions in 1 country.

Lei ZhongDepartment of Intensive Care Unit, Huzhou Central Hospital (The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University), Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-0208-1823
Zeng-Yu ZhangThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xiao-Wei JiDepartment of Intensive Care Unit, Huzhou Central Hospital (The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University), Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, China.
Hai-Li WangDepartment of Obstetrics and Gynecology, Huzhou Central Hospital (The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University), Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, China.
Bo XieDepartment of Intensive Care Unit, Huzhou Central Hospital (The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University), Affiliated Central Hospital of Huzhou University, Huzhou, Zhejiang, China.
Xiang-Hong YangEmergency and Critical Care Center, Intensive Care Unit, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Zhejiang Chinese Medical University · CNZhejiang Provincial People's Hospital · CN

Funding

Basic Public Welfare Research Program of Zhejiang Province LGD20H150001Key Research and Development Plan of Zhejiang Province 2019C03024Medical and Health Science and Technology Project of Zhejiang Province 2023KY314Provincial and Ministerial Joint Construction of Key Projects of Zhejiang Medical and Health Science and Technology Plan WKJ-ZJ-1811Science and Technology Program of Huzhou 2022GY20
6 · The paper itself

Abstract

aimsThere has been a lack of research examining the relationship between red cell distribution width (RDW) and the prognosis of cardiac arrest (CA) patients. The prognostic value of the changes in RDW during intensive care unit (ICU) hospitalization for CA patients has not been investigated. This study aims to investigate the correlation between RDW measures at ICU admission and RDW changes during ICU hospitalization and the prognosis of CA patients and then develop a nomogram that predicts the risk of mortality of these patients. METHODS AND

resultsA retrospective cohort study is used to collect clinical characteristics of CA patients (>18 years) that are on their first admission to ICU with RDW data measured from the Medical Information Mart for Intensive Care IV Version 2.0 database. Patients are randomly divided into a development cohort (75%) and a validation cohort (25%). The primary outcome is 30 and 360 day all-cause mortality. ΔRDW is defined as the RDW on ICU discharge minus RDW on ICU admission. A multivariate Cox regression model is applied to test whether the RDW represents an independent risk factor that affects the all-cause mortality of these patients. Meanwhile, the dose-response relationship between the RDW and the mortality is described by restricted cubic spine (RCS). A prediction model is constructed using a nomogram, which is then assessed using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). A total of 1278 adult CA patients are included in this study. We found that non-survivors have a higher level of RDW and ΔRDW compared with survivors, and the mortality rate is higher in the high RDW group than in the normal RDW group. The Kaplan-Meier survival curve indicates that patients in the normal RDW group had a higher cumulative survival rate at 30 and 360 days than those in the high RDW group (log-rank test, χ

conclusionsElevated RDW levels on ICU admission and rising RDW during ICU hospitalization are powerful predictors of all-cause mortality for CA patients at 30 and 360 days, and they can be used as potential clinical biomarkers to predict the bad prognosis of these patients. The newly developed nomogram, which includes RDW, demonstrates high efficacy in predicting the mortality of CA patients.

Indexed as

Erythrocyte IndicesHospitalizationAdultHospital MortalityHumansIntensive Care UnitsRetrospective StudiesCardiac arrestCohort studyIntensive care unitMortalityNomogramRed cell distribution width

Identifiers

PMID38030411
PMCPMC10804170
OpenAlexW4389153732

What OpenQuestion holds

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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.