Incidence rate of alopecia areata in Israel: A 15-year analysis of population-based data and the emergence of young male adults as the most at-risk group.

Incidence rate and temporal trends in alopecia areata (AA) vary worldwide. As a common disorder with a major impact on life quality, there is a continuous need for comprehensive epidemiological characterization and global updates of the disease burden. We sought to perform an epidemiologic characterization of AA patients and to explore temporal trends across different subgroups using long-term health data. A retrospective population-based study was conducted in a large healthcare organization in Israel. Data were analyzed for all patients with AA between 2005 and 2019. A total of 30 805 patients for 29 504 798 person-years were identified during the study period, representing an overall incidence rate of 104.4 cases per 100 000 person-years. Young adults and patients of middle socioeconomic status had the highest incidence rate compared to the whole cohort. Incidence rates in females were lower than in males (incidence rate ratio 0.72, 95% confidence interval 0.71-0.74). In a temporal trends analysis, the yearly incidence rate for the whole cohort was stable throughout the study period. Males between the ages of 18 and 30 had a significant increase in incidence during the study years, where the incidence rate increased from 119.54 to 162.36 per 100 000 person-years. Despite the limitation of lack of analysis by subgroups of disease severity and other personal data, our study clearly indicates that young male adults of middle socioeconomic status emerge as the most at risk associated with AA over a decade and a half. In an effort to delineate risk factors for this gender gap, different stressors are speculated as triggers.

Acute Kidney Injury Following Transcatheter Aortic Valve Implantation: Association with Contrast Media Dosage and Contrast Media Based Risk Predication Models.

The effect of contrast media (CM), delivered prior to- and during transcatheter aortic valve implantation (TAVI), on kidney function, following the procedure, is debatable. Consequently, the performance of CM-based, acute kidney injury (AKI) risk prediction models is also questionable. We retrospectively studied 210 patients that underwent TAVI. We recorded the dose of CM used prior and during TAVI, calculated the results of different AKI risk assessment models containing a CM module, and tested their association with AKI after the procedure. AKI was diagnosed in 38 patients (18.1%). The baseline estimated glomerular filtration rate (eGFR) was lower in the AKI+ group compared to AKI- group (51 ± 19.3 versus 64.5 ± 19 mL/min/1.73 mr2, respectively). While the dose of CM delivered prior to TAVI, during TAVI or the cumulative amount of both did not differ between the groups, the results of all tested risk models were higher in AKI+ patients. However, by multivariable analysis, only eGFR had a consistent independent association with AKI. We suggest that the dose of CM delivered prior or during TAVI is not associated with AKI and that the predictive power of CM based AKI risk models is, in all probability, limited to eGFR alone.