1743 WHAT PREDICTS INCIDENT NOCTURIA? A POPULATION-BASED STUDY IN OLDER MEN: THE KRIMPEN STUDY

You have accessJournal of UrologyBenign Prostatic Hyperplasia: Epidemiology and Natural History/Evaluation and Markers1 Apr 20121743 WHAT PREDICTS INCIDENT NOCTURIA? A POPULATION-BASED STUDY IN OLDER MEN: THE KRIMPEN STUDY Boris van Doorn, Marco Blanker, Esther Kok, Paul Westers, and Ruud Bosch Boris van DoornBoris van Doorn Utrecht, Netherlands More articles by this author , Marco BlankerMarco Blanker Groningen, Netherlands More articles by this author , Esther KokEsther Kok Utrecht, Netherlands More articles by this author , Paul WestersPaul Westers Utrecht, Netherlands More articles by this author , and Ruud BoschRuud Bosch Utrecht, Netherlands More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2012.02.1704AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Many conditions and characteristics are associated with nocturia, however, there is a paucity of data on the factors that predict the development of nocturia. We therefore determined factors predictive of incident nocturia. METHODS We analyzed the database of a population-based cohort study among 1,688 men aged 50-78 years old, without radical prostatectomy, transurethral surgery, or bladder or prostate cancer, living in Krimpen aan den IJssel, The Netherlands. Data were obtained using frequency-volume charts (FVC), from which the nocturnal voiding frequency (NVF) was determined. Nocturia was defined as NVF ≥ 2. Conditions and characteristics were determined via medical examination and a 113-item questionnaire. Men without nocturia at baseline (BL) and no exclusion criteria met were selected. At the first follow-up round (FU-1; after 2.1 years) we determined how many men developed nocturia. Univariable analyses were done to determine the association between the BL characteristics and nocturia-status at FU-1. Variables with an association p < 0.25 were selected to create a multivariable logistic regression model. After a manual backward selection procedure a final model was created with only significant associations (p¡Ü0.05). RESULTS At BL 1597 men completed an FVC, 133 men met the exclusion criteria. 342 men were excluded because of missing sleeping-hours, and 386 men had nocturia (34.4%), resulting in a target population of 736 men. At FU-1, 341 men were excluded because they did not void during the night or within the first hour of rising, did not complete a FVC, or due to loss to follow up. Therefore, analysis could was possible in 395 men. These men did not significantly differ from the total population regarding conditions and characteristics. Median age was 59.8, the incidence-rate after 2.1 years for nocturia was 24.8%. Table 1 shows the univariable and multivariable logistic regression models. Univariably as well as in the final model only age and alcohol intake were significantly related to incident nocturia. Table 1. participant characteristics and their uni- and multivariable relation to the development of nocturia characteristic univariable Multivariable model 1 Multivariable model 2 OR (95% CI)p-value OR (95% CI)p-value OR(95% CI)p-value Age at baseline 1.043 (1.005-1.043)0.024 1.047 (1.005-1.090)0.027 1.042 (1.004-1.081)0.029 Albuminuria 0.807 (0.220-2.953)0.745 – – Obesity⁎ 1.031(0.465-2.284)0.941 – – Hypertension⁎⁎ 0.880(0.502-1.543)0.656 – – Noct.MVV⁎⁎⁎ 1-300 1.283(0.654-2.518)0.468 – – 301-400 1.436(0.715-2.882)0.309 – – 401-500 1.249(0.586-2.660)0.564 – – > 500 0(Reference) – – residual > 50 cc 0.553(0.206-1.489)0.241 0.501(0.181-1.388)0.184 – IPSS⁎⁎⁎⁎ 1.044(0.995-1.095)0.079 1.040(0.985-1.097)0.154 – Questionnaire extracted variables Diabetes Mellitus 0.414(0.092-1.853)0.249 0.433(0.092-2.044)0.290 – COPD# 0.205(0.027-1.577)0.128 0.202(0.025-1.608)0.131 – Cardiac symptoms 1.666(0.599-4.630)0.328 – – Smoking 0.748(0.414-1.351)0.336 – – Alcohol intake >2 units/day 0.375(0.179-0.787)0.009 0.405(0.182-0.900)0.026 0.385(0.183-0.810)0.012 ⁎ Body-Mass Index >30, ⁎⁎ resting systolic blood pressure of 140 mmHg or greater and/or a diastolic blood pressure of 90 mmHg or greater or the use of antihypertensive medication, ⁎⁎⁎ nocturnal maximum voided volume, ⁎⁎⁎⁎ ipss score minus the nocturia question, # chronic obstructive pulmonary disease Model 1: including all univariable p<0.25, Model 2: only including significant variables CONCLUSIONS Although many characteristics are associated with nocturia, only age could significantly predict incident nocturia. Alcohol intake had a protective effect. © 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 187Issue 4SApril 2012Page: e703 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.MetricsAuthor Information Boris van Doorn Utrecht, Netherlands More articles by this author Marco Blanker Groningen, Netherlands More articles by this author Esther Kok Utrecht, Netherlands More articles by this author Paul Westers Utrecht, Netherlands More articles by this author Ruud Bosch Utrecht, Netherlands More articles by this author Expand All Advertisement Advertisement PDF DownloadLoading ...