Association between pregnancy and nocturia: A National Health and Nutrition Examination Survey analysis.

AIMS: This study aimed to determine the impact of pregnancy and pregnancy-associated characteristics on nocturia. METHODS: Using the National Health and Nutrition Examination Survey (NHANES) database from 2005/06 to 2017/18, we analyzed women who completed the "Reproductive Health" and "Kidney Conditions-Urology" questionnaires by sorting them into three groups: nulligravida, previously pregnant (nonpregnant with prior pregnancies), and currently pregnant. After excluding patients with pre-existing conditions impacting nocturia or with incomplete data, we weighed and matched the groups for age, race, BMI, and number of pregnancies. The relationships of nocturia to pregnancy in all groups and pregnancy-associated characteristics (gestational diabetes mellitus [GDM], history of multiple pregnancies, and trimesters of pregnancy) in currently pregnant women were assessed. RESULTS: Of 8330 women that indicated pregnancy status, 1544 women (age range: 20-44 years; 523 nulligravida, 498 previously pregnant, 523 currently pregnant women) were included in analysis. Currently, pregnant women had a higher prevalence of nocturia than previously pregnant and nulligravida women (56.4% vs. 22.5% vs. 16.1%, p < 0.001) and had the highest odds of nocturia (OR: 6.82, p < 0.001). GDM or history of multiple pregnancies showed no associations in currently pregnant women. Increasing trimesters were associated with nocturia, with the third trimester showing the highest odds (OR: 10.35, p < 0.001) and a greater average of nighttime voids than the first and second trimesters (2.40 ± 1.42 vs. 1.56 ± 1.31 and 1.88 ± 1.32, p < 0.001). CONCLUSIONS: The association noted between pregnancy and nocturia, which strengthened with increasing trimesters, demonstrates that nocturia can significantly impact quality of life and therefore must be addressed during pregnancy.

Transition from Childhood Nocturnal Enuresis to Adult Nocturia: A Systematic Review and Meta-Analysis.

PURPOSE: Current literature has suggested a relationship between nocturnal enuresis (NE) in childhood and the development of nocturia later in life as both disorders have similar underlying etiologies, comorbidities, and treatments. The objective was to synthesize the available evidence on the association between childhood NE and later presentation of nocturia. METHODS: PubMed, CINAHL, Scopus, and Google Scholar were searched for peer-reviewed studies published between January 1980 and April 2021. Case-control and cohort studies that reported on childhood NE and current nocturia were included. The PRISMA protocol was followed (PROSPERO ID: CRD42021256255). A random-effects model was applied to calculate the pooled odds ratio (OR) and 95% confidence interval (CI). Risk of bias was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria and with a funnel plot. RESULTS: Of the 278 articles identified, 8 studies met inclusion criteria. The 6 case-control and 2 prospective cohort studies resulted in a total sample size of 26,070 participants. In a random-effect pooled analysis, childhood NE was significantly associated with the development of nocturia (OR: 1.75, 95% CI: 1.11-2.40). Significant heterogeneity (I2 = 92.7%, p < 0.01) was identified among the included studies, which was reflected in an asymmetrical funnel plot. NE and nocturia have similar underlying etiologies of hormonal abnormalities, sleep disorders, physiological disorders, and psychological disorders. CONCLUSION: The history of childhood NE is significantly associated with nocturia later in life. The data in this meta-analysis support this transition and identify potential similarities between the two disorders. The sparse number of articles relevant to this topic is a strong indicator of the need for more work on this transition from childhood to maturity. More studies are warranted to further explore the association between NE and nocturia.

Catching a Big Fish with a Small Net: Factors Associated with First-Choice Match from Urology Residency Applicants' Self-Reported Data.

INTRODUCTION: We sought to determine the accuracy of self-reported urology applicant match data and determine which factors were most influential on successful application outcomes. METHODS: A publicly accessible Google spreadsheet entitled "Urology Residency Applicant Spreadsheet" containing self-reported urology residency applicant characteristics and match outcomes was analyzed for differences across the years 2017+2018 (pre-aggregated)-2020. These data were compared to published data from the American Urological Association and the Association of American Medical Colleges. Statistical modeling of the self-reported data was performed to determine which applicant characteristics were predictive of match outcomes. RESULTS: Averages of self-reported data were similar to published match data with a bias towards more competitive applicants. The factors associated with increased interview offer rate were: Step 1 score, Step 2 score, number of research items, class quartile, and Alpha Omega Alpha membership. Logistic regression modeling correctly predicted an applicant matching to their first-choice program with 74.7% accuracy, with significant negative predictors being the number of programs to which the applicant applied and interviews offered from waitlist or cancellations, and positive predictors being the number of interview offers received. CONCLUSIONS: Many applicants "apply broadly" with the goal of improving their match outcomes, but we found that applying to more programs is associated with a decreased likelihood of the applicant matching to their first-choice program. Applicant characteristics such as United States Medical Licensing Examination® scores were not related to first-choice match, suggesting that program selection, among other factors, is vital in the match process.