Climate and seasonal relationship of pulmonary thromboembolism

Objective: We aimed to study whether there is a relationship between season and climate changes and incidence of PTE in city of Malatya. Material and method: 207 patients who have been diagnosed with PTE by Inonu University Department of Chest Diseases in the three years period of 1/1/2013 and 12/31/2015 are studied cross sectional. Demographic characteristics of the patients, laboratory data and dates of application to the hospital were recorded. In the direction of this data; Pressure, temperature, wind speed and humidity values of patients' application date were determined and averages were oBTained Findings: This study contains 207 patients diagnosed by PTE, 113 (54.5%) of which were female and 94 (45.5%) were male. Average age was 62.7±15.5; with minimum 20 and maximum 90. Average age of male patients were 65.6, while of female patients were 60.38. Seasonal study showed us that patients were most frequently diagnosed in autumn, with 28% share (n=58), while least in winter with 19.3% (n=40). There was no statistically significant difference between the seasons of PTE incidence (p> 0.05). Patients who were diagnosed with PTE were evaluated in terms of the incidence according to month; 11.6% (n = 24) of the patients were followed up in July, and 4.3% (n = 9) of the patients were followed in February. There was no statistically significant difference between the months of PTE incidence (p> 0.05). Additional diseases that may be a predisposing risk factor for PTE were looked at. Patients with COPD, additional disease that may cause immobilization, post operative PTE, malignancy, hereditary thrombophilia, pregnancy, vasculitis, cardiac and hematologic disease were recorded in this evaluation based on the Virchow triad. The number of patients with additional disease was 118 (57%) while the number of patients without additional disease was 89 (43%). When the distribution of the patients with no risk factors for PTE according to the season they were diagnosed were examined, it was seen that the least patients received PTE diagnosis was in summer with 18 (20%), while the most was in fall season with number of 25 (28%). There was no statistically significant correlation between the frequency of occurrence of non-risk factors PTE and seasons (p> 0.05). The incidence of PTE patients without risk factors was examined according to the month. In May, 10 patients (11%) were diagnosed with PTE while in July, the incidence of PTE was lowest (n = 2, 3%). There was no statistically significant difference between the months of PTE incidence (p> 0.05). Results: We could not detect a significant relationship between the seasons and PTE diagnosis, by separating patients according to whether they carry risk factors. When we evaluate the seasonal and climate change of Malatya Province, we conclude that climate change and seasonal changes do not have a significant effect on the risk of PTE according to the results we have achieved.