after euthanasia donors were excluded. Data collected included recipient and donor demographics, surgery information, and outcomes up to one-year post transplant. SPSS was used for statistical analysis.RESULTS: Of the 182 DCD kidney donations that were identified, 27 (14.8%) arrested after 1 hour, and 10 (5.5%) arrested after 1.5 hours. The mean agonal time was 25 minutes. The longest interquartile range was between 37 and 130 minutes. Binary logistic regression showed no significant association between time to arrest and delayed graft function (DGF) (p[0.79) or primary nonfunction (PNF) (p[0.50). The Chi-square test also showed no significant association between DGF or PNF and donors who arrested in the longest quartile (X2[0.17, p[0.67), after 1 hour (X2[0.611, p[0.44), or after 1.5 hours (X2 [0.161, p[0.69). Pearson correlation did show a weak association between time to arrest and a higher creatinine at three months (0.245, p [0.002) and six months (0.177, p[0.043), but this association was no longer present at one year (-0.032, p[0.77).CONCLUSIONS: We found no association between the length of the agonal phase and DGF or one-year renal function after transplantation. This supports the use of kidneys from DCD donors with agonal phases of one hour and beyond.
INTRODUCTION AND OBJECTIVE:The Census Taskforce of the Society for Women in Urology (SWIU) created and distributed a census survey to women urologists, throughout the United States, in order to identify the demographics of females practicing Urology and to investigate specific needs and challenges pertaining to women in the urologic workforce.METHODS: An electronic survey was sent via email and social media sites to all SWIU members including residents, fellows, and women urologists practicing in the US and its territories, between February-May 2022. Data on demographics, practice type, workplace, personal, family issues, barriers, and career plans were collected. Descriptive statistical analysis was performed. Continuous variables were described with measures of central tendency (mean, median) and dispersion (range, standard deviation). Categorical variables were summarized as frequencies and percentages. Between groups, comparisons such as age or type of practice were analyzed using a chi-square test of independence or Fisher's exact test for categorical variables.RESULTS: Of the estimated 1,509 female urologists, we received 379 survey responses corresponding to an estimated response rate of 25.1 % response rate. Almost all respondents (98%) are members of the AUA. The average age was 42.9 years (SD 18.6). In terms of ethnicity, most self-reported as White 71.0%, followed by 16.4% Asian or Asian American, and 6.3 % African American. The majority reported practicing in urban locations (63.5%) at an academic setting (55.7%), followed by similar distribution between private practice and hospital-employed settings (17.0%, 16.7%, respectively). The vast majority, 89.6%, reported working full-time, while only 10.4 % worked part-time. The average hours of work per week were 56.7 (SD 14.5). In terms of personal demographics, 81.9 % were married, 17.3% were single and 1% did not answer. 68.8% of responders had children, with the majority of these children being born during or after training.CONCLUSIONS: The number of women urologists continues to increase, and although still there are racial disparities, these are less stark among women compared to the existing in the overall AUA Census. Our findings related to practice patterns and caregivers' responsibilities must be considered to develop future interventions directed to the specific needs of female urologists.
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