Environmental Temperature, Other Climatic Variables, and Cardiometabolic Profile in Acute Myocardial Infarction.
Cristina VassalleDaniele GrifoniBernardo GozziniAlessandra ParlantiLuca FibbiFederica MarchiGianni MesseriNataliya PylypivAlessandro MesseriUmberto ParadossiSergio BertiPublished in: Journal of clinical medicine (2024)
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.
Keyphrases
- acute myocardial infarction
- end stage renal disease
- percutaneous coronary intervention
- risk factors
- ejection fraction
- chronic kidney disease
- newly diagnosed
- emergency department
- type diabetes
- climate change
- peritoneal dialysis
- left ventricular
- multiple sclerosis
- acute coronary syndrome
- machine learning
- electronic health record
- big data
- risk assessment
- artificial intelligence
- patient reported
- human health
- wound healing