Evidence map›Paper›PMID 40148803›Full record

ArticleBMC cardiovascular disorders2025

Clinical characteristics and outcomes of acute myocardial infarction during the COVID-19 pandemic: a multicenter retrospective cohort study in Northern China.

Kang Li, Yannan Pan, Xiaojian Song, Bin Yang, Huifeng Wang, Fan Yang, Quanbao Liu, Xinhong Lin, Shuzhen Zhao, Yuqi Yuan and 4 more

Abstract readMulticenter Study
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Kang Li *Department of Cardiology, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China. li_kang926@aliyun.com.
Yannan Pan *Department of Cardiology, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China.
Xiaojian SongDepartment of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, 030002, Shanxi, China.
Bin YangDepartment of Cardiology, Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, China.
Huifeng WangDepartment of Cardiology, Taigang General Hospital, Taiyuan, 030003, Shanxi, China.
Fan YangDepartment of Cardiology, Taiyuan Central Hospital, No.1 East Sandao Lane, Xinghualing District, Taiyuan, 030009, Shanxi, China.
Quanbao LiuDepartment of Cardiology, Shanxi Cardiovascular Hospital, Taiyuan, 030002, Shanxi, China.
Xinhong LinDepartment of Cardiology, Taiyuan Central Hospital, No.1 East Sandao Lane, Xinghualing District, Taiyuan, 030009, Shanxi, China.
Shuzhen ZhaoDepartment of Cardiology, Taiyuan Central Hospital, No.1 East Sandao Lane, Xinghualing District, Taiyuan, 030009, Shanxi, China.
Yuqi YuanDepartment of Cardiology, Jincheng People's Hospital, Jincheng, 048026, Shanxi, China.
Ze ZhangThe Ninth School of clinical medicine, Shanxi Medical University, Taiyuan, 030009, Shanxi, China.
Bin ZhangThe Ninth School of clinical medicine, Shanxi Medical University, Taiyuan, 030009, Shanxi, China.
Fangfang FanDepartment of Cardiology, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing, 100034, China.
Dengfeng MaDepartment of Cardiology, Taiyuan Central Hospital, No.1 East Sandao Lane, Xinghualing District, Taiyuan, 030009, Shanxi, China. mdfdoctor@163.com.

Funding

Science, Technology, and Innovation Program of National Regional Medical Center 202216Wellcome Trust 202204
6 · The paper itself

Abstract

backgroundThe impacts of COVID-19 on acute myocardial infarction (AMI) care were heterogeneous. The study aims to analyze the clinical characteristics and outcomes of AMI patients in China during different stages of the COVID-19 pandemic.

methodsThis is a multicenter retrospective cohort study in Shanxi Province of northern China. Patients diagnosed with AMI during the zero-case, lockdown, and outbreak periods were included. Characteristics and outcomes were analyzed according to time periods and COVID-19 infection. The primary outcome was in-hospital mortality. Additional outcomes included reperfusion times, coronary angiographic measures, procedure or AMI-associated complications, arrhythmia, other adverse events, and left ventricular systolic dysfunction (LVSD).

resultsThe study included 1021 AMI patients, with 393, 250, and 378 from the zero-case, lockdown, and outbreak periods. No differences in in-hospital mortality or other adverse events were found by time periods. By infection status, 264 patients were COVID-positive, and 706 were COVID-negative. The COVID-positive ST-elevation myocardial infarction population had longer symptom-to-first medical contact (3.07 vs. 2.31, p = 0.026), pre-hospital time (4.58 vs. 3.67, p = 0.032), door-to-balloon (1.20 vs. 1.08, p = 0.046), and total ischemic time (5.80 vs. 4.70, p = 0.011). No differences in other in-hospital outcomes were found, except that multivariate logistic regression analysis demonstrated COVID-19 infection was correlated with increased risks of LVSD (OR 1.73, 95% CI 1.11-2.69, p = 0.015).

conclusionsIn-hospital mortality did not differ by time period or COVID-19 infection status. The COVID-positive AMI patients had longer reperfusion times and higher risks of LVSD. AMI treatments were impacted during the pandemic, and measures are warranted to minimize the reperfusion time.

Indexed as

COVID-19Myocardial InfarctionST Elevation Myocardial InfarctionAgedChinaFemaleHospital MortalityHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSARS-CoV-2Time FactorsTime-to-TreatmentTreatment OutcomeAcute myocardial infarctionCOVID-19In-hospital outcomesReperfusion time

Identifiers

PMID40148803
PMCPMC11948736

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.