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Metabolic syndrome in non-obese patients with OSA: learning points of a cross-sectional study from a tertiary care hospital in Central India

STUDY OBJECTIVES: Obesity is often considered mandatory for the diagnosis of Metabolic Syndrome (MS). Data on the prevalence of MS in non-obese patients with Obstructive Sleep Apnea (OSA) is scarce. This study was aimed to determine the prevalence of MS in non-obese patients with OSA. METHODOLOGY: A...

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Detalles Bibliográficos
Autores principales: Chaudhary, Poonam, Goyal, Abhishek, Pakhare, Abhijit, Goel, S. K., Kumar, Ashok, Reddy, Mallu Abhinav, Anoohya, Vangala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289879/
https://www.ncbi.nlm.nih.gov/pubmed/34283339
http://dx.doi.org/10.1007/s11325-021-02401-4
Descripción
Sumario:STUDY OBJECTIVES: Obesity is often considered mandatory for the diagnosis of Metabolic Syndrome (MS). Data on the prevalence of MS in non-obese patients with Obstructive Sleep Apnea (OSA) is scarce. This study was aimed to determine the prevalence of MS in non-obese patients with OSA. METHODOLOGY: All consecutively diagnosed patients with OSA between October 2018 and November 2019 were screened for metabolic syndrome. Patients with OSA and BMI < 25 kg/m(2) (NOOSA) vs BMI > 25 kg/m(2) (obese OSA) were compared. Lean waist NOOSA was defined as BMI < 25 kg/m(2) and WC < 80 cm (32 in.) for women or < 90 cm (36 in.) for men. RESULTS: During the study period, 502 patients were diagnosed with OSA. MS was observed in 35% of patients with NOOSA compared to obese patients with OSA (79%). In the NOOSA group, hypertension, impaired fasting glucose, diabetes mellitus and dyslipidemia were observed in 65, 48, 14 and 61% respectively and all of these parameters were significantly more common in the obese group (p < 0.001). Parameters of OSA severity (apnea-hypopnea index or AHI, time spent below 90% saturated or T90, and nadir oxygen) were significantly more severe in the obese group with OSA. Approximately 83% of patients in the NOOSA group had at least two metabolic risk factors, compared to the obese OSA group, in which 95% had two or more metabolic risk factors. Sixty-four percent of patients with NOOSA with lean waist had at least two metabolic risk factors. At BMI cut-offs of < 25, < 27 and < 30 kg/m2; 35, 46 and 57% of patients with OSA respectively had metabolic syndrome. CONCLUSION: Metabolic syndrome was observed in approximately one in three patients with OSA and BMI < 25 kg/m(2). Approximately two of every three lean waist non-obese patients with OSA had at least two markers of metabolic syndrome. The role of OSA in the development of metabolic syndrome in non-obese individuals needs further exploration.