Evidence map›Paper›PMID 34563109›Full record

Observational studyBMC cardiovascular disorders2021

Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database.

Chiyuan Zhang, Zuli Fu, Hui Bai, Guoqiang Lin, Ruizheng Shi, Xuliang Chen, Qian Xu

Abstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chiyuan Zhang *Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zuli Fu *Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hui BaiDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, Xiangya Rd 87, Changsha, 410008, Hunan, China.
Guoqiang LinDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, Xiangya Rd 87, Changsha, 410008, Hunan, China.
Ruizheng ShiDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xuliang ChenDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, Xiangya Rd 87, Changsha, 410008, Hunan, China. chenxuliang04@163.com.
Qian XuDepartment of Cardiovascular Surgery, Xiangya Hospital, Central South University, Xiangya Rd 87, Changsha, 410008, Hunan, China. elsiexu403@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammation underlies both the pathogenesis and prognosis in patients with acute aortic dissection (AAD). This study aimed to assess the association of ICU admission of white blood cell count (WBCc) with post-discharge mortality in these patients.

methodsClinical data were extracted from the MIMIC-III V1.4 database. After adjusted to covariables, Cox regression analysis and Kaplan-Meier survival curve were performed to determine the relationship between WBCc on admission and post-discharge mortality (30-day, 90-day, 1-year and 5-year) in AAD patients. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were used to test the performance of WBCc in predicting mortality in AAD patients.

resultsA total of 325 eligible patients were divided into 2 groups: normal-WBCc group (≤ 11 k/uL) and high-WBCc group (> 11 K/uL). In univariate Cox regression analysis, high WBCc was significant risk predictor of 30-day, 90-day, 1-year and 5-year mortality [hazard ratio (HR), 95% CI, P 2.58 1.36-4.91 0.004; 3.16 1.76-5.70 0.000; 2.74 1.57-4.79 0.000; 2.10 1.23-3.54 0.006]. After adjusting for age and other risks, high WBCc remained a significant predictor of 30-day, 90-day and 1-year mortality in AAD patients (HR, 95% CI, P 1.994 1.058-3.76 0.033; 2.118 1.175-3.819 0.013; 2.37 1.343-4.181 0.003). The area under ROC curve of WBCc for predicting 30-day, 90-day, 1-year and 5-year mortality were 0.69, 0.70, 0.66 and 0.61, respectively. The results from subgroups analysis showed that there was no interaction in most strata and patients who were younger than 69 years of age or had history of respiratory disease with an elevated WBCc had an excess risk of 30-day mortality (HR, 95% CI, P 3.18 1.41-7.14 0.005; 3.84 1.05-14.13 0.043).

conclusionsHigher than normal WBCc on admission may predict post-discharge mortality in patients with AAD.

Indexed as

LeukocytesPatient AdmissionPatient DischargeAcute DiseaseAgedAortic AneurysmAortic DissectionDatabases, FactualFemaleHumansLeukocyte CountMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentAcute aortic dissectionMIMIC-III databasePost-discharge mortalityWhite blood cell count

Identifiers

PMID34563109
PMCPMC8466640

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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.