Environmental Temperature, Other Climatic Variables, and Cardiometabolic Profile in Acute Myocardial Infarction

Author:

Vassalle Cristina1ORCID,Grifoni Daniele23ORCID,Gozzini Bernardo23ORCID,Parlanti Alessandra4,Fibbi Luca23ORCID,Marchi Federica4,Messeri Gianni23,Pylypiv Nataliya4,Messeri Alessandro3,Paradossi Umberto4,Berti Sergio4ORCID

Affiliation:

1. Department of Laboratory Medicine, Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy

2. Laboratory of Monitoring and Environmental Modelling for the Sustainable Development (LaMMA Consortium), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy

3. Institute of Bioeconomy (IBE), National Research Council (CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy

4. Diagnostic and Interventional Cardiology Department, Fondazione Toscana Gabriele Monasterio, Ospedale Pasquinucci, 54100 Massa, Italy

Abstract

Objectives: To evaluate CV profiles, periprocedural complications, and in-hospital mortality in acute myocardial infarction (AMI) according to climate. Methods: Data from 2478 AMI patients (1779 men; mean age 67 ∓ 13 years; Pasquinucci Hospital ICU, Massa, Italy; 2007–2018) were retrospectively analyzed according to climate (LAMMA Consortium; Firenze, Italy) by using three approaches as follows: (1) annual warm (May–October) and cold (November–April) periods; (2) warm and cold extremes of the two periods; and (3) warm and cold extremes for each month of the two periods. Results: All approaches highlighted a higher percentage of AMI hospitalization for patients with adverse CV profiles in relation to low temperatures, or higher periprocedural complications and in-hospital deaths. In warmer times of the cold periods, there were fewer admissions of dyslipidemic patients. During warm periods, progressive heat anomalies were characterized by more smoker (approaches 2 and 3) and young AMI patient (approach 3) admissions, whereas cooler times (approach 3) evidenced a reduced hospitalization of diabetic and dyslipidemic patients. No significant effects were observed for the heat index and light circulation. Conclusions: Although largely overlapping, different approaches identify patient subgroups with different CV risk factors at higher AMI admission risk and adverse short-term outcomes. These data retain potential implications regarding pathophysiological mechanisms of AMI and its prevention.

Publisher

MDPI AG

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