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학술논문International Neurourology Journal2024.02 발행KCI 피인용 2

Application of the Sleep C.A.L.M. Tool for Assessing Nocturia in a Large Nationally Representative Cohort

Application of the Sleep C.A.L.M. Tool for Assessing Nocturia in a Large Nationally Representative Cohort

Joseph U. Boroda(Department of Urology, SUNY Downstate Health Sciences University); Benjamin De Leon(Department of Urology, SUNY Downstate Health Sciences University); Lakshay Khosla(Department of Urology, SUNY Downstate Health Sciences University); Muchi D. Chobufo(Department of Medicine, Division of Cardiology, West Virginia University School of Medicine); Syed N. Rahman(Department of Urology, Yale School of Medicine); Jason M. Lazar(Division of Cardiovascular Medicine, Department of Medicine, SUNY Downstate Health Sciences Universi); Jeffrey P. Weiss(Department of Urology, SUNY Downstate Health Sciences University); Thomas F. Monaghan(Department of Urology, University of Texas Southwestern Medical Center)

28권, 55~61쪽

초록

Purpose: Nocturia significantly impacts patients’ quality of life but remains insufficiently evaluated and treated. The “Sleep C.A.L.M.” system categorizes the factors thought to collectively reflect most underlying causes of nocturia (Sleep disorders, Comorbidities, Actions [i.e., modifiable patient behaviors such as excess fluid intake], Lower urinary tract dysfunction, and Medications). The purpose of this study was to assess the association of nocturia with the Sleep C.A.L.M. categories using a nationally representative dataset. Methods: Retrospective analysis of the National Health and Nutrition Examination Survey from 2013/14–2017/18 cycles was conducted. Pertinent questionnaire, laboratory, dietary, and physical examination data were used to ascertain the presence of Sleep C.A.L.M. categories in adults ≥20 years of age. Nocturia was defined as ≥2 nighttime voids. Results: A total of 12,274 included subjects were included (51.6% female; median age, 49.0 years [interquartile range, 34.0–62.0 years]; 27.6% nocturia). Among subjects with nocturia, the prevalence of 0, ≥1, and ≥2 Sleep C.A.L.M. categories was 3.5% (95% confidence interval [CI], 2.8%–4.4%), 96.5% (95% CI, 95.6%–97.2%), and 81.2% (95% CI, 78.9%–83.3%), respectively. Compared to those with 0–1 Sleep C.A.L.M. categories, the adjusted odds of nocturia in subjects with 2, 3, and 4–5 Sleep C. A.L.M. categories were 1.77 (95% CI, 1.43–2.21), 2.33 (1.89–2.87), and 3.49 (2.81–4.35), respectively (P<0.001). Similar trends were observed for most age and sex subgroups. When assessed individually, each of the 5 Sleep C.A.L.M. categories were independently associated with greater odds of nocturia, which likewise persisted across multiple age and sex subgroups. Conclusions: Sleep C.A.L.M. burden is associated with increased odds of nocturia in a dose-dependent fashion, and potentially a relevant means by which to organize the underlying etiologies for nocturia among community-dwelling adults.

Abstract

Purpose: Nocturia significantly impacts patients’ quality of life but remains insufficiently evaluated and treated. The “Sleep C.A.L.M.” system categorizes the factors thought to collectively reflect most underlying causes of nocturia (Sleep disorders, Comorbidities, Actions [i.e., modifiable patient behaviors such as excess fluid intake], Lower urinary tract dysfunction, and Medications). The purpose of this study was to assess the association of nocturia with the Sleep C.A.L.M. categories using a nationally representative dataset. Methods: Retrospective analysis of the National Health and Nutrition Examination Survey from 2013/14–2017/18 cycles was conducted. Pertinent questionnaire, laboratory, dietary, and physical examination data were used to ascertain the presence of Sleep C.A.L.M. categories in adults ≥20 years of age. Nocturia was defined as ≥2 nighttime voids. Results: A total of 12,274 included subjects were included (51.6% female; median age, 49.0 years [interquartile range, 34.0–62.0 years]; 27.6% nocturia). Among subjects with nocturia, the prevalence of 0, ≥1, and ≥2 Sleep C.A.L.M. categories was 3.5% (95% confidence interval [CI], 2.8%–4.4%), 96.5% (95% CI, 95.6%–97.2%), and 81.2% (95% CI, 78.9%–83.3%), respectively. Compared to those with 0–1 Sleep C.A.L.M. categories, the adjusted odds of nocturia in subjects with 2, 3, and 4–5 Sleep C. A.L.M. categories were 1.77 (95% CI, 1.43–2.21), 2.33 (1.89–2.87), and 3.49 (2.81–4.35), respectively (P<0.001). Similar trends were observed for most age and sex subgroups. When assessed individually, each of the 5 Sleep C.A.L.M. categories were independently associated with greater odds of nocturia, which likewise persisted across multiple age and sex subgroups. Conclusions: Sleep C.A.L.M. burden is associated with increased odds of nocturia in a dose-dependent fashion, and potentially a relevant means by which to organize the underlying etiologies for nocturia among community-dwelling adults.

발행기관:
대한배뇨장애요실금학회
DOI:
http://dx.doi.org/10.5213/inj.2346258.129
분류:
신경비뇨기과학

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Application of the Sleep C.A.L.M. Tool for Assessing Nocturia in a Large Nationally Representative Cohort | International Neurourology Journal 2024 | AskLaw | 애스크로 AI