Evidence map›Paper›PMID 40922983›Full record

SynthesisInternational journal of chronic obstructive pulmonary disease2025

Prevalence and Risk Factors of Arrhythmias in Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis.

Nan Ding, Weida Qiu, Jinmin Chen, Kaihao Wang, Zeyue Chen, Ruli Cai, Ailan Chen

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in International journal of chronic obstructive pulmonary disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. A Proposed Checklist for Optimizing COPD Patient Discharge Processes in Italian Internal Medicine Wards.International journal of chronic obstructive pulmonary disease · 2026
    Review
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

7 authors.

Nan Ding *Department of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0003-3116-7498
Weida Qiu *Department of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.ORCID 0000-0003-2206-8439
Jinmin ChenDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.
Kaihao WangDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.
Zeyue ChenDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.
Ruli CaiDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.
Ailan ChenDepartment of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiac arrhythmias are commonly seen in patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD), but their prevalence, risk factors, and prognostic significance are still not fully understood. Objective: To estimate the prevalence of arrhythmias in patients with AECOPD, identify related clinical factors, and assess their influence on in-hospital mortality. Methods: A systematic search of PubMed, Embase, Web of Science, CENTRAL, and Cochrane Reviews was conducted to identify observational studies and randomized controlled trials. A random-effects meta-analysis using the DerSimonian-Laird method was performed. Subgroup and sensitivity analyses were conducted to explore heterogeneity, and publication bias was assessed using Egger's and Begg's tests. Results: Twenty-eight studies were included. The pooled prevalence of arrhythmias in AECOPD patients was 15% (95% CI: 12-18%), with considerable heterogeneity (I² = 99.93%). Prevalence was higher in studies from developed countries, particularly those with larger sample sizes and older populations. Advanced age (WMD = 2.79 years) and elevated C-reactive protein levels (WMD = 5.32) were associated with increased arrhythmia risk. Use of long-acting beta-agonists (LABAs) was associated with a reduced risk (OR = 0.42), although the causal mechanism remains uncertain. Arrhythmias were significantly associated with increased in-hospital mortality (RR = 3.33, 95% CI: 3.27-3.38). In a predefined subgroup analysis, atrial fibrillation (AF) was also linked to a higher risk of death (RR = 3.70, 95% CI: 2.40-5.70). Sensitivity analyses confirmed the robustness of these findings, and no significant publication bias was detected. Conclusion: Arrhythmias are common during AECOPD and are associated with increased short-term mortality, especially in patients with AF. Aging and systemic inflammation appear to be key contributors. While LABA use may have a protective association, this finding requires cautious interpretation. Standardized ECG monitoring and individualized risk stratification are warranted to improve patient outcomes.

Indexed as

Arrhythmias, CardiacPulmonary Disease, Chronic ObstructiveAgedAge FactorsChi-Square DistributionDisease ProgressionFemaleHospital MortalityHumansMaleMiddle AgedOdds RatioPrevalencePrognosisRisk AssessmentRisk Factorscardiac arrhythmiaschronic obstructive pulmonary diseasehospital mortalitysystematic review

Identifiers

PMID40922983
PMCPMC12414452

What OpenQuestion holds

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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.