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Clustering of Environmental Parameters and the Risk of Acute Myocardial Infarction

Bibliographic Data

ID15464644
AuthorsGeraldine P Y Koo (0000-0002-4379-781X, Ministry of Health), Huili Zheng (0000-0002-3976-0088, Health Promotion Board), Pin Pin Pek (0000-0002-3483-4105, Duke-NUS Medical School), Fintan Hughes (0000-0003-3845-8802, Duke University Hospital), Shir Lynn Lim (0000-0002-1151-2357, National University of Singapore), Jun Wei Yeo (0000-0002-9657-2411, National University of Singapore), Marcus Eng Hock Ong (0000-0001-7874-7612, Singapore General Hospital), Andrew Fu Wah Ho (0000-0003-4338-3876, Singapore General Hospital, corresponding author)
Year2022
Volume19
Issue14
Pages8476-8476
Publication date2022-07-11
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19148476
PMID35886328
OpenAlexW4285025808
LanguageEN
Citations received1
References cited58

The association between days with similar environmental parameters and cardiovascular events is unknown. We investigate the association between clusters of environmental parameters and acute myocardial infarction (AMI) risk in Singapore. Using k-means clustering and conditional Poisson models, we grouped calendar days from 2010 to 2015 based on rainfall, temperature, wind speed and the Pollutant Standards Index (PSI) and compared the incidence rate ratios (IRR) of AMI across the clusters using a time-stratified case-crossover design. Three distinct clusters were formed with Cluster 1 having high wind speed, Cluster 2 high rainfall, and Cluster 3 high temperature and PSI. Compared to Cluster 1, Cluster 3 had a higher AMI incidence with IRR 1.04 (95% confidence interval 1.01-1.07), but no significant difference was found between Cluster 1 and Cluster 2. Subgroup analyses showed that increased AMI incidence was significant only among those with age ≥65, male, non-smokers, non-ST elevation AMI (NSTEMI), history of hyperlipidemia and no history of ischemic heart disease, diabetes or hypertension. In conclusion, we found that AMI incidence, especially NSTEMI, is likely to be higher on days with high temperature and PSI. These findings have public health implications for AMI prevention and emergency health services delivery during the seasonal Southeast Asian transboundary haze

Cardiology · Cluster (spacecraft · Confidence interval · Incidence (geometry · Myocardial infarction · Air Quality and Health Impacts · Climate Change and Health Impacts · Demography · Global Health Care Issues · Medicine · Emergency Medicine · Internal Medicine

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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