دورية أكاديمية
Cluster analysis of weather and pollution features and its role in predicting acute cardiac or cerebrovascular events
| العنوان: | Cluster analysis of weather and pollution features and its role in predicting acute cardiac or cerebrovascular events |
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| المؤلفون: | Testa, Alberto, Biondi-Zoccai, Giuseppe, Anticoli, Sabrina, Pezzella, Francesca R, Mangiardi, Marilena, DI Giosa, Alessandro, Marchegiani, Giada, Frati, Giacomo, Sciarretta, Sebastiano, Perrotta, Armando, Peruzzi, Mariangela, Cavarretta, Elena, Gaspardone, Achille, Mariano, Enrica, Federici, Massimo, Montone, Rocco A, Dei Giudici, Angela, Versaci, Benedetta, Versaci, Francesco |
| المساهمون: | Testa, Alberto, Biondi-Zoccai, Giuseppe, Anticoli, Sabrina, Pezzella, Francesca R, Mangiardi, Marilena, DI Giosa, Alessandro, Marchegiani, Giada, Frati, Giacomo, Sciarretta, Sebastiano, Perrotta, Armando, Peruzzi, Mariangela, Cavarretta, Elena, Gaspardone, Achille, Mariano, Enrica, Federici, Massimo, Montone, Rocco A, Dei Giudici, Angela, Versaci, Benedetta, Versaci, Francesco |
| بيانات النشر: | EDIZIONI MINERVA MEDICA CORSO BRAMANTE 83-85 INT JOURNALS DEPT., 10126 TURIN, ITALY |
| سنة النشر: | 2022 |
| المجموعة: | Sapienza Università di Roma: CINECA IRIS |
| مصطلحات موضوعية: | myocardial infarction, climate, air pollution, stroke, weather |
| الوصف: | BACKGROUND: Despite mounting evidence, the impact of the interplay between weather and pollution features on the risk of acute cardiac and cerebrovascular events has not been entirely appraised. The aim of this study was to perform a comprehensive cluster analysis of weather and pollution features in a large metropolitan area, and their association with acute cardiac and cerebrovascular events.METHODS: Anonymized data on acute myocardial infarction (AMI) and acute cerebrovascular events were obtained from 3 tertiary care centers from a single large metropolitan area. Weather and pollution data were obtained averaging measurements from several city measurement stations managed by the competent regional agency for enviromental pro-tection, and from the Metereological Center of Italian Military Aviation. Unsupervised machine learning was performed with hierarchical clustering to identify specific days with distinct weather and pollution features. Clusters were then compared for rates of acute cardiac and cerebrovascular events with Poisson models.RESULTS: As expected, significant pairwise correlations were found between weather and pollution features. Build-ing upon these correlations, hierarchical clustering, from a total of 1169 days, generated 4 separate clusters: mostly winter days with low temperatures and high ozone concentrations (cluster 1, N.=60, 5.1%), days with moderately high temperatures and low pollutants concentrations (cluster 2, N.=419, 35.8%), mostly summer and spring days with high temperatures and high ozone concentrations (cluster 3, N.=673, 57.6%), and mostly winter days with low temperatures and low ozone concentrations (cluster 4, N.=17, 1.5%). Overall cluster-wise comparisons showed significant differences in adverse cardiac and cerebrovascular events (P < 0.001), as well as in cerebrovascular events (P < 0.001) and strokes (P=0.001). Between-cluster comparisons showed that cluster 1 was associated with an increased risk of any event, cere-brovascular events, and strokes in comparison ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/35156790; info:eu-repo/semantics/altIdentifier/wos/WOS:000927860000010; volume:113; issue:5; firstpage:825; lastpage:832; numberofpages:8; journal:MINERVA MEDICA; https://hdl.handle.net/11573/1676642Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85143645291 |
| DOI: | 10.23736/S0026-4806.22.08036-3 |
| الإتاحة: | https://doi.org/10.23736/S0026-4806.22.08036-3Test https://hdl.handle.net/11573/1676642Test |
| حقوق: | info:eu-repo/semantics/closedAccess |
| رقم الانضمام: | edsbas.D717B6B |
| قاعدة البيانات: | BASE |
| DOI: | 10.23736/S0026-4806.22.08036-3 |
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