Int Neurourol J.  2024 Feb;28(Suppl 1):55-61. 10.5213/inj.2346258.129.

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

Affiliations
  • 1Department of Urology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
  • 2Department of Medicine, Division of Cardiology, West Virginia University School of Medicine, Morgantown, WV, USA
  • 3Department of Urology, Yale School of Medicine, New Haven, CT, USA
  • 4Division of Cardiovascular Medicine, Department of Medicine, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
  • 5Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX, USA

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.

Keyword

Humans; Nocturia diagnosis; Nocturia epidemiology; Sleep; Urinary bladder; Lower urinary tract symptoms
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