Cluster of climatic and pollutant characteristics increases admissions for acute myocardial infarction: Analysis of 30,423 patients in the metropolitan area of Sao Paulo
| Autor: | Jose Fabri, Sameer Mehta, Marcelo Harada Ribeiro, Expedito E. Ribeiro, Antonio Eduardo Pesaro, Marcelo Franken, Marcelo Katz, Vinicius Seleme, André Grossi, Adriano Caixeta, Carlos M. Campos |
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| Rok vydání: | 2021 |
| Předmět: |
Pulmonary and Respiratory Medicine
Pollution media_common.quotation_subject Myocardial Infarction Air pollution 030204 cardiovascular system & hematology Critical Care and Intensive Care Medicine medicine.disease_cause 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Air Pollution Environmental health Humans Medicine Nitrogen dioxide Myocardial infarction media_common High humidity Pollutant Air Pollutants business.industry Particulates medicine.disease Metropolitan area Hospitalization 030228 respiratory system chemistry Environmental Pollutants Particulate Matter Seasons Cardiology and Cardiovascular Medicine business Brazil |
| Zdroj: | Heart & Lung. 50:161-165 |
| ISSN: | 0147-9563 |
| Popis: | The impact of simultaneous adverse climate conditions in the risk of myocardial infarction (MI) was not tested before. The aim of the present study was to investigate the impact of the combination of climate and air pollution features in the number of admissions and mortality due to acute myocardial infarction in 39 municipalities of São Paulo from 2012 to 2015.Data about MI admissions were obtained from the Brazilian public health system (DataSUS). Daily information on weather were accessed from the Meteorological Database for Teaching and Research. Additionally, daily information on air pollution were obtained from the Environmental Company of the State of São Paulo. A hierarchical cluster analysis was applied for temperature, rainfall patterns, relative air humidity, nitrogen dioxide, particulate matter 2.5 and particulate matter 10. MI admissions and in-hospital mortality were compared among the clusters.Data analysis produced 3 clusters: High temperature variation-Low humidity-high pollution (n=218 days); Intermediate temperature variation/high humidity/intermediate pollution (n=751 days) and low temperature variation/intermediate humidity-low pollution (n=123 days). All environmental variables were significantly different among clusters. The combination of high temperature variation, dry weather and high pollution resulted in a significant 9% increase in hospital admissions for MI [30.5 (IQR 25.0-36.0)]; patients/day; P0.01). The differences in weather and pollution did not have impact on in-hospital mortality (P=0.88).The combination of atmospheric conditions with high temperature variation, lower temperature, dryer weather and increased inhalable particles was associated with a marked increase of hospital admissions due to MI. |
| Databáze: | OpenAIRE |
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