Correlations from sleep architecture predict nocturia in patients with sleep breathing disorders

Viridiana Mancilla-Hernández, Clinic of Sleep Disorders, Universidad Nacional Autónoma de México, Mexico City, México
Joana Miranda-Ortiz, Clinic of Sleep Disorders, Universidad Nacional Autónoma de México, Mexico City, México
Virginia Mancebo-Sosa, Clinic of Sleep Disorders, Universidad Nacional Autónoma de México, Mexico City, México
Aremy Hernández-Torres, Clinic of Sleep Disorders, Universidad Nacional Autónoma de México, Mexico City, México
Adrián Poblano, Sleep Disorders Clinic, Faculty of Medicine-Universidad Nacional Autónoma de México, sede Hospital General de México; Cognitive Neurophysiology Laboratory, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud; Mexico City, Mexico
Ulises Jiménez-Correa, Clinic of Sleep Disorders, Universidad Nacional Autónoma de México, Mexico City, México
Rafael Santana-Miranda, Clinic of Sleep Disorders, Universidad Nacional Autónoma de México, Mexico City, México

Introduction: Nocturia has been reported to be a common problem in sleep breathing disorders (SBD). It is considered a multidisciplinary alteration without considering the weight of each variable involved. Objectives: The objective of the study was to calculate equations based on polysomnography (PSG) variables and other clinical characteristics to predict nocturia in patients with SBD. Materials and methods: We studied 400 patients with SBD: 100 with primary snoring, 100 with mild obstructive sleep apnea-hypopnea syndrome (OSAHS), 100 with moderate OSAHS, and 100 with severe OSAHS. We measured sleep architecture with PSG variables and calculated multiple regression models (MRM) for all SBD levels to predict subjective and objective nocturia. Results: We observed a progressive alteration of PSG variables in patients with SBD with nocturia as severity of the disorder increased. The MRM calculated explained one-third and a half of the variance in subjective and objective nocturia, respectively. Conclusion: PSG variables were altered in patients with nocturia related to SBD severity. MRM predict subjective and objective nocturia and explained a significant amount of variance. These equations could help clinicians to predict the severity of nocturia based on PSG variables.

Keywords: Nocturia. Sleeping breathing disorders. Snoring. Sleep apnea. Multiple regression models.