نتایج جستجو برای: multivariable apnea prediction index

تعداد نتایج: 685738  

Journal: :journal of sleep sciences 0
ahmad khajeh-mehrizi occupational sleep research center, baharloo hospital, tehran university of medical sciences, tehran, iran and department of internal medicine, shariati hospital, tehran university of medical sciences, tehran, iran omid aminian occupational sleep research center, baharloo hospital, tehran university of medical sciences, tehran, iran

background and objective: obstructive sleep apnea (osa) is the most common type of sleep-disordered breathing. multivariable apnea prediction (map) index consists of three questions about the frequency of osa symptoms plus body mass index (bmi), age and sex that categorizes the patients to low and high risk for osa using a formula. objective map index was calculated by discounting the questions...

Background: It has been implicated that obstructive sleep apnea (OSA) is associated with increased risk of cardiovascular disease including stroke, myocardial infarction, coronary artery disease (CAD) and hypertension. The aim of this study was to investigate the correlation between OSA and severity of atherosclerosis assessed by angiography. Methods: This study included 337 patients ...

Journal: :Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine 2009
Lichuan Ye Grace W Pien Sarah J Ratcliffe Terri E Weaver

OBJECTIVES Whether gender differences exist in clinical manifestations of obstructive sleep apnea (OSA) and whether women's responses to continuous positive airway pressure (CPAP) are similar to those of men are critical areas of exploration in sleep disordered breathing. This exploratory analysis addressed these questions by examining gender differences over a wide range of clinical outcomes a...

Journal: :Anesthesiology 2009
Bhargavi Gali Francis X Whalen Darrell R Schroeder Peter C Gay David J Plevak

BACKGROUND Patients with obstructive sleep apnea are at risk for perioperative morbidity. The authors used a screening prediction model for obstructive sleep apnea to generate a sleep apnea clinical score (SACS) that identified patients at high or low risk for obstructive sleep apnea. This was combined with postanesthesia care unit (PACU) monitoring with the aim of identifying patients at high ...

2015
Ahmad Khajeh-Mehrizi Omid Aminian

Background and Objective: Obstructive sleep apnea (OSA) is the most common type of sleep-disordered breathing. Multivariable apnea prediction (MAP) index consists of three questions about the frequency of OSA symptoms plus body mass index (BMI), age and sex that categorizes the patients to low and high risk for OSA using a formula. Objective MAP index was calculated by discounting the questions...

Journal: :The Laryngoscope 2016
Kun-Tai Kang Wen-Chin Weng Chia-Hsuan Lee Tzu-Yu Hsiao Pei-Lin Lee Wei-Chung Hsu

OBJECTIVES/HYPOTHESIS To develop a clinical risk prediction model that identifies children with obstructive sleep apnea (OSA) in a clinical setting by examining the symptoms, physical status, and OSA-18 questionnaire results. DESIGN Single institutional, cross-sectional study. METHODS Children aged 2 to 18 years with symptoms of OSA were enrolled. Pediatric OSA was diagnosed through full-ni...

Journal: :Sleep 2022

Abstract Introduction The Multivariable Apnea Prediction (MAP) index is a commonly used screening tool for obstructive sleep apnea (OSA). Previous analyses have demonstrated higher sensitivity of the MAP in predicting OSA men versus women and post-menopausal pre-menopausal with type 2 diabetes (T2DM) an apnea-hypopnea (AHI) ≥10. purpose this secondary analysis was to validate previous findings ...

Journal: :Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia 2011
Silvio Musman Valéria Maria de Azeredo Passos Izabella Barreto Romualdo Silva Sandhi Maria Barreto

OBJECTIVE To test a prediction model for sleep apnea based on clinical and sociodemographic variables in a population suspected of having sleep disorders and submitted to polysomnography. METHODS We included 323 consecutive patients submitted to polysomnography because of the clinical suspicion of having sleep disorders. We used a questionnaire with sociodemographic questions and the Epworth ...

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