Evidence map›Paper›PMID 41454250›Full record

ArticleBMC cardiovascular disorders2025

Cold climate dual threats: lagged and nonlinear effects of air pollution and meteorological extremes on acute myocardial infarction risk.

Hongxin Xu, Leilei Yin, Yingtao Zhang, Haiyu Zhang, Hongyan Zhao, Kai Du, Minghui Li, Danyang Yu, Kai Dong, Sizheng Peng and 2 more

Abstract read
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. Combined effects of apparent low temperature and PMFrontiers in public health · 2026
    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

12 authors.

Hongxin Xu *Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Leilei Yin *Department of Emergency, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Yingtao ZhangSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
Haiyu ZhangDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Hongyan ZhaoDepartment of Medical Record, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Kai DuDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Minghui LiDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Danyang YuDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Kai DongDepartment of Cardiology, Harbin Fourth Hospital, Harbin, China.
Sizheng PengDepartment of Cardiology, Rizhao International Heart Hospital, Rizhao, China.
Yuhui SunDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China. yuhui_sun@vip.163.com.
Tao SongDepartment of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China. shutiao1981@sina.com.

Funding

Heilongjiang Postdoctoral Research Foundation LBH-Q20110Key Project of Natural Science Foundation of Heilongjiang Province ZL2024H002Key research and development program of Hei- longjiang Province 2023ZX02C10
6 · The paper itself

Abstract

introductionAcute myocardial infarction (AMI) remains a major health concern in cold regions, where extreme meteorological conditions and air pollution can jointly elevate cardiovascular risk. However, the nonlinear and delayed impacts of diverse environmental stressors on different AMI subtypes remain insufficiently understood.

methodsWe conducted a retrospective time-series study including daily ST-elevation myocardial infarction (STEMI, ST refers to the ST segment on electrocardiograms) and non-ST-elevation myocardial infarction (NSTEMI) cases recorded in Heilongjiang Province, China from 2014-2023. Environmental exposures included key meteorological indicators (mean air temperature, surface temperature, snow depth, atmospheric pressure, sunshine duration, and ultraviolet intensity) and major air pollutants (PM[Formula: see text], PM[Formula: see text], NO[Formula: see text], SO[Formula: see text]). Extreme cold and heat were defined primarily using mean air temperature thresholds based on regional climatic characteristics (<-20[Formula: see text]C and >30[Formula: see text]C), while the full spectrum of non-extreme weather conditions was also assessed. Distributed Lag Nonlinear Models (DLNMs) were used to characterize nonlinear and lag-response relationships.

resultsSTEMI risk significantly increased under stress, with acute effects observed at extremely low (<-20[Formula: see text]C) and high (>30[Formula: see text]C) mean air temperatures. NSTEMI showed a more gradual response, particularly to sustained heat exposure. Short-term PM[Formula: see text] exposure had a stronger effect on STEMI, whereas NO[Formula: see text] was more strongly associated with delayed NSTEMI risk. Atmospheric pressure between 990-1010 hPa elevated risk, while greater snow depth appeared inverse association. Non-linear patterns were also noted for sunshine duration and ultraviolet intensity.

conclusionIn cold-climate regions, both meteorological extremes and air pollution substantially affect AMI, but with distinct temporal and exposure-response characteristics between STEMI and NSTEMI. These findings highlight the need for subtype-specific environmental early warning systems and climate-adaptive cardiovascular prevention strategies.

Indexed as

Air PollutantsAir PollutionCold ClimateCold TemperatureEnvironmental ExposureNon-ST Elevated Myocardial InfarctionST Elevation Myocardial InfarctionWeatherAgedChinaFemaleHumansMaleMiddle AgedNonlinear DynamicsRetrospective StudiesAir PollutantsAcute myocardial infarctionAir pollutionDistributed lag nonlinear modelsMeteorological extremesNSTEMISTEMI

Identifiers

PMID41454250
PMCPMC12853908

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LicenceCC BY-NC-ND
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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.