Cut-off points of neck and waist circumference as predictors of obstructive sleep apnea in the Colombian population : a comparison with polysomnography

BACKGROUND: Neck circumference (NC) is a useful anthropometric measure for predicting obstructive sleep apnea (OSA). Ethnicity and sex also influence obesity phenotypes. NC cut-offs for defining OSA have not been established for the Latin American population. OBJECTIVES: To evaluate NC, waist circum...

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Autores:
Amado Garzon, Sandra Brigitte
Muñoz-VelandiaI, Oscar Mauricio
Ruiz, Alvaro J
Hidalgo Martínez, Patricia
Otero, Liliana
Tipo de recurso:
Article of investigation
Fecha de publicación:
2023
Institución:
Pontificia Universidad Javeriana
Repositorio:
Repositorio Universidad Javeriana
Idioma:
N/A
OAI Identifier:
oai:repository.javeriana.edu.co:10554/66699
Acceso en línea:
https://www.scielo.br/j/spmj/a/ksydhW5TMQXbTX5PtGHz3nr/?lang=en
http://hdl.handle.net/10554/66699
https://doi.org/10.1590/1516-3180.2022.0415.R2.310523
Palabra clave:
Circunferencia de la cintura
Apnea del sueño obstructiva
Área bajo curva
Índice de masa corporal
Waist circumference
Sleep apnea
obstructive
Area under curve
Body mass index
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License
Atribución-NoComercial 4.0 Internacional
Description
Summary:BACKGROUND: Neck circumference (NC) is a useful anthropometric measure for predicting obstructive sleep apnea (OSA). Ethnicity and sex also influence obesity phenotypes. NC cut-offs for defining OSA have not been established for the Latin American population. OBJECTIVES: To evaluate NC, waist circumference (WC), and body mass index (BMI) as predictors of OSA in the Colombian population and to determine optimal cut-off points. DESIGN AND SETTING: Diagnostic tests were conducted at the Javeriana University, Bogota. METHODS: Adults from three cities in Colombia were included. NC, WC, and BMI were measured, and a polysomnogram provided the reference standard. The discrimination capacity and best cut-off points for diagnosing OSA were calculated. RESULTS: 964 patients were included (57.7% men; median age, 58 years) and 43.4% had OSA. The discrimination capacity of NC was similar for men and women (area under curve, AUC 0.63 versus 0.66, P = 0.39) but better for women under 60 years old (AUC 0.69 versus 0.57, P < 0.05). WC had better discrimination capacity for women (AUC 0.69 versus 0.57, P < 0.001). There were no significant differences in BMI. Optimal NC cut-off points were 36.5 cm for women (sensitivity [S]: 71.7%, specificity [E]: 55.3%) and 41 cm for men (S: 56%, E: 62%); and for WC, 97 cm for women (S: 65%, E: 69%) and 99 cm for men (S: 53%, E: 58%). CONCLUSIONS: NC and WC have moderate discrimination capacities for diagnosing OSA. The cut-off values suggest differences between Latin- and North American as well as Asian populations.