Ten_year Seasonal Prevalence of Prosthetic valve Mulfunction

Abstract

Introduction: This descriptive cross-sectional study was conducted on 10-year-old seasonal malfunction metallic artificial valve prevalence in order to determine the seasonal malfunction prevalence in a sample of 146 patients with metallic artificial valve in the period between 2006 and 2016. Method: the demographic, clinical, laboratory and imaging specifications of the patients were recorded using a prepared checklist. Then, the prevalence rate of artificial valve malfunction and hospital mortality rate were determined in different months of the year and in different seasons of the year. Finally, the data were entered into the SPSS statistical software and analyzed statistically after collecting the obtained data. Results: Findings related to valve malfunction in different seasons in the study indicate that there is a low incidence of the artificial valve malfunction in spring (18.5%) and also a high incidence in winter (30.8%), There was no significant difference between these levels in different seasons (P-value>0.05). Thrombosis is increasing during the seasons in such a way that has the lowest prevalence in spring (13.6%) and the highest prevalence in winter (36.4%), But this difference was not statistically significant (P-value=0.697). The highest prevalence of mortality was in the hospital during the winter (38.7%), There was no statistically significant difference between mortality rate in different seasons (P-value=0.177). The INR decrease from spring to winter, The highest INR was in spring (2.63 ± 1.26) and the lowest was winter (1.07 ± 2.28). The highest platelet count was in the autumn season (269240±392902) and the lowest was in the spring (254481 ± 116195), There was no significant difference between the levels of INR and platelets in different seasons (P-value>0.05). The highest wbc was in winter (11829±10802), There is a significant difference between wbc in different seasons (P-value<0.05). Conclusion: Despite the more incidence of artificial valve malfunction and the associated mortality in cold seasons, in the present study, which this issue is discussed for the first time, this malfunction prevalence was not statistically significant. More studies are recommended with a more number of centers and larger sample sizes.