Evidence map›Paper›PMID 33302869›Full record

ArticleBMC cardiovascular disorders2020

Predictors of acute cardiovascular events following acute exacerbation period for patients with COPD: a nested case-control study.

Wei-Ping Hu, Tsokyi Lhamo, Feng-Ying Zhang, Jing-Qing Hang, Yi-Hui Zuo, Jian-Lan Hua, Shan-Qun Li, Jing Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
0.4field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Risk of Death and Cardiovascular Events Following an Exacerbation of COPD: The EXACOS-CV US Study.International journal of chronic obstructive pulmonary disease · 2024
    Article
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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

8 authors at 2 institutions in 1 country.

Wei-Ping HuDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Tsokyi LhamoDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Feng-Ying ZhangDepartment of Respiratory Medicine, Putuo District People's Hospital, Shanghai, China.
Jing-Qing HangDepartment of Respiratory Medicine, Putuo District People's Hospital, Shanghai, China.
Yi-Hui ZuoDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Jian-Lan HuaDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Shan-Qun LiDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China. li.shanqun@zs-hospital.sh.cn.
Jing ZhangDepartment of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200032, China. huxizhangjing@foxmail.com.ORCID 0000-0001-5305-6233
Shanghai Medical College of Fudan University · CNCentral Hospital of Putuo District · CN

Funding

National Natural Science Foundation of China 81970035the National Key Research and Development Program of China 2018YFC1313600
6 · The paper itself

Abstract

backgroundIt has been noted that there is an increase in the incidence of acute cardiovascular events (CVEs) in patients with chronic obstructive pulmonary disease (COPD) during an acute exacerbation (AE), thereby causing increased inpatient mortality. Thus, we have tried to identify predictors of acute CVEs in patients with AECOPD via a nested case-control study.

methodsA total of 496 cases hospitalized for AECOPD were included in this study, and followed-up for up to 6 months after discharge. Acute CVEs in the AE period were defined as a new or worsening acute coronary syndrome (ACS), arrhythmia, or left ventricular disfunction (LVD). Predictors of CVEs were selected from several variables, including baseline characteristics and treatments in the stable period as well as symptoms, laboratory tests, complications and treatments in the AE period.

resultsThirty cases (6.05%) had acute CVEs, namely 2 had ACS, 13 had LVD and 19 experienced some form of arrhythmia. Four deaths were observed in the CVE group, with significantly increased death risk compared with the non-CVE group (P = 0.001, OR = 5.81). Moreover, patients who had CVEs were more prone to have re-exacerbation within 3 months. Multivariate analysis showed that previous LVD history (P = 0.004, OR = 5.06), 20% increase in heart rate (HR) (P = 0.003, OR = 10.19), electrolyte disturbance (P = 0.01, OR = 4.24) and diuretics (P = 0.002, OR = 6.37) were independent predictors of CVEs. In addition, usage of theophylline, fluoroquinolone and inhaled beta agonists in the AE period were not statistically associated with acute CVEs.

conclusionsOur preliminary study indicates that patients hospitalized for AECOPD with previous LVD history or increased HR need close observation and diuretics should be cautiously used with regular electrolyte monitoring. These findings need to be confirmed in a large cohort.

Indexed as

Acute DiseaseAgedAged, 80 and overCardiovascular DiseasesCase-Control StudiesDisease ProgressionDiureticsFemaleHeart RateHospitalizationHumansMalePredictive Value of TestsPrognosisProspective StudiesPulmonary Disease, Chronic ObstructiveDiureticsAcute cardiovascular eventsAcute exacerbation of chronic obstructive pulmonary diseaseDiureticsElectrolyte disturbanceHeart rate

Identifiers

PMID33302869
PMCPMC7731567
OpenAlexW3105105359

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.