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A circadian variation in the cardiovascular parameters has been detected. It is plausible that the influence of the environment varies during different periods of the day. We investigated the association between daily emergency ambulance calls (EC) for paroxysmal atrial fibrillation (AF) that occurred during the time intervals of 8:00-13:59, 14:00-21:59, and 22:00-7:59, and weather conditions and exposure to CO and PM. We used Poisson regression to explore the association between the risk of EC for AF and environmental variables, adjusting for seasonal variation. Before noon, the risk was associated with an IQR (0.333 mg/m) increase in CO at lag 2-6 days above the median (RR = 1.15, P = 0.002); a protective impact of CO on previous day was observed (RR = 0.91, P = 0.018). During 14:00-21:59, a negative effect of air temperature below 1.9 °C (lag 2-3 days) was detected (per 10 °C decrease: RR = 1.17, P = 0.044). At night, the elevated risk was associated with wind speed above the median (lag 2-4 days) (per 1-kt increase: RR = 1.07, P = 0.001) and with PM at lag 2-5 days below the median (per IQR (7.31 μg/m) increase: RR = 1.21, P = 0.002). Individuals over 65 years of age were more sensitive to air pollution, especially at night (CO lag 2-3 days < median, per IQR (0.12 mg/m) increase: RR = 1.14, P = 0.045; PM lag 2-5 days < median, per IQR increase: RR = 1.32, P = 0.001). The associations of air pollution and other environmental variables with acute events may be analyzed depending on the time of the event.

The aim of this study was to evaluate the relationship between weather conditions and daily emergency ambulance calls for acute coronary syndromes (ACS). The study included data on 3631 patients who called the ambulance for chest pain and were admitted to the department of cardiology as patients with ACS. We investigated the effect of daily air temperature (T), barometric pressure (BP), relative humidity, and wind speed (WS) to detect the risk areas for low and high daily volume (DV) of emergency calls. We used the classification and regression tree method as well as cluster analysis. The clusters were created by applying the k-means cluster algorithm using the standardized daily weather variables. The analysis was performed separately during cold (October-April) and warm (May-September) seasons. During the cold period, the greatest DV was observed on days of low T during the 3-day sequence, on cold and windy days, and on days of low BP and high WS during the 3-day sequence; low DV was associated with high BP and decreased WS on the previous day. During June-September, a lower DV was associated with low BP, windless days, and high BP and low WS during the 3-day sequence. During the warm period, the greatest DV was associated with increased BP and changing WS during the 3-day sequence. These results suggest that daily T, BP, and WS on the day of the ambulance call and on the two previous days may be prognostic variables for the risk of ACS.

During the last decade, it has been shown that the metabolic syndrome and its different components – arterial hypertension (AH), abdominal obesity (AO), diabetes mellitus (DM), atherogenic hypertriglyceridemia (HTG), and/or low concentration of high-density lipoprotein cholesterol (HDL-C)) – increase the risk of cardiovascular diseases. There is increasing evidence that the incidence of the metabolic syndrome and the distribution of its components in combinations in the general male and female population differ. The aim of our study was to determine the incidence of the metabolic syndrome in men and women with acute ischemic syndromes and to evaluate the distribution of the metabolic syndrome component combinations in the presence of the metabolic syndrome. Contingent and methods. The study included 2756 patients (1670 males and 1086 females) with acute ischemic syndromes (1997 with myocardial infarction and 759 with unstable angina pectoris), in whom all five components of the metabolic syndrome were assessed. Women were significantly older than men (68.1±9.5 vs. 60.2±11.8 years, P<0.001). The metabolic syndrome was found (according to modified NCEP III) in 1641 (59.5%) patients (in 70.2% of females and in 52.6% of males, P<0.001). The most common components in both men and women were AH andAO(94.0%vs. 95.9%and 86.4%vs. 84.5%, respectively). HTGwas significantlymore common in men than in women (80.0% vs. 73.0%, P<0.001), while decreased HDL-C concentration was more common in women (82.8% and 59.2%, P<0.001). The DM component, detected in more than one-third of patients with acute ischemic syndromes, was significantly more common in women than in men (39.2% vs. 33.1%, P<0.05). Combinations of three components were significantly more common in men than in women, while combinations of four–five components were more common in women (55.6% vs. 41.4%, P<0.001; and 58.6% vs. 44.4%, P<0.01). The most common combination of three components in men was AH+AO+HTG and in women – AH+AO+lowHDL-C; themost common combination of four components in bothmen and women was AH+AO+HTG+low HDL-C. Conclusion. In the metabolic syndrome, the differences between the components of atherogenic dyslipidemia in patients with acute ischemic syndromes were related to the patients’ gender: men significantly more frequently had increased TG concentration and women – decreased HDLC concentration; this is the problem to be addressed in further studies of dyslipidemia.

A number of studies have established the effects of solar-geomagnetic activity on the human cardio-vascular system. It is plausible that the heliophysical conditions existing during and after hospital admission may affect survival in patients with acute coronary syndromes (ACS). We analyzed data from 1,413 ACS patients who were admitted to the Hospital of Kaunas University of Medicine, Lithuania, and who survived for more than 4 days. We evaluated the associations between active-stormy geomagnetic activity (GMA), solar proton events (SPE), and solar flares (SF) that occurred 0-3 days before and after admission, and 2-year survival, based on Cox's proportional-hazards model, controlling for clinical data. After adjustment for clinical variables, active-stormy GMA on the 2nd day after admission was associated with an increased (by 1.58 times) hazard ratio (HR) of cardiovascular death (HR=1.58, 95 % CI 1.07-2.32). For women, geomagnetic storm (GS) 2 days after SPE occurred 1 day after admission increased the HR by 3.91 times (HR=3.91, 95 % CI 1.31-11.7); active-stormy GMA during the 2nd-3rd day after admission increased the HR by over 2.5 times (HR=2.66, 95 % CI 1.40-5.03). In patients aged over 70 years, GS occurring 1 day before or 2 days after admission, increased the HR by 2.5 times, compared to quiet days; GS in conjunction with SF on the previous day, nearly tripled the HR (HR=3.08, 95 % CI 1.32-7.20). These findings suggest that the heliophysical conditions before or after the admission affect the hazard ratio of lethal outcome; adjusting for clinical variables, these effects were stronger for women and older patients.