http://www.cnr.it/ontology/cnr/individuo/prodotto/ID182886
Sleep Apnea in Morbidly Obese Patients: Prevalence and Clinical Predictivity (Articolo in rivista)
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- Sleep Apnea in Morbidly Obese Patients: Prevalence and Clinical Predictivity (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1159/000165371 (literal)
- Alternative label
Antonio Palla a; Michela Digiorgio a; Nicoletta Carpenè a; Giuseppe Rossi c;
Ilaria D'Amico a; Ferruccio Santini b; Aldo Pinchera b (2009)
Sleep Apnea in Morbidly Obese Patients: Prevalence and Clinical Predictivity
in Respiration (Basel, Print); Karger, Basel (Swaziland)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Antonio Palla a; Michela Digiorgio a; Nicoletta Carpenè a; Giuseppe Rossi c;
Ilaria D'Amico a; Ferruccio Santini b; Aldo Pinchera b (literal)
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- a Cardiac and Thoracic Department, Section of Respiratory Disease
b Department of Integrated Activities of Endocrinology and Metabolic Diseases, University and Hospital of Pisa
c Unit of Epidemiology and Biostatistics, Institute of Clinical Physiology, National Research Council (C.N.R.), Pisa , Italy (literal)
- Titolo
- Sleep Apnea in Morbidly Obese Patients: Prevalence and Clinical Predictivity (literal)
- Abstract
- Background: Little is known about the prevalence of obstructive sleep apnea-hypopnea syndrome (OSAHS) in morbidly obese patients and whether such patients show peculiar clinical findings that may make it easier to suspect and diagnose OSAHS. Objectives: To investigate prevalence of OSAHS in patients with morbid obesity and find a simple structured model for predicting the results of polysomnography. Methods: The study enrolled a group of 101 consecutive inpatients (33 males, age range 20-80 years) with a body mass index 6 40, whose symptoms of OSAHS were not known, and a validation group of 45 patients. Results: Habitual snoring, nocturnal apneas or awakening as well as diurnal sleepiness were frequent findings (90.1, 40.6, 50.5 and 61.4%, respectively). Chronic obstructive pulmonary disease, hypertension, diabetes and myocardial ischemia were also frequently associated (22.8, 56.4, 30.7 and 6.9%, respectively). OSAHS was found in 61 (60.4%) patients, in 33.7% it was of severe degree. A multivariate logistic regression model allowed to select the independent predictors of OSAHS: age, male sex, diurnal sleepiness and the value of minimum nocturnal saturation. Sensitivity of 97%, specificity of 77% as well as positive and negative predictive values of 87% and 95%, respectively, were obtained; similar results were found in the validation group. When the best obtainable cutoff on the receiver operating characteristic curve is below 40%, the instrumental diagnosis might be excluded in as many as 33% of cases, since they are not affected by OSAHS or have OSAHS of mild degree. Conclusions: OSAHS is present in almost two thirds of morbidly obese patients. By applying the prediction model we propose, one may calculate the probability of a morbidly obese patient of being affected by OSAHS. (literal)
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