0710 Validation of the Predictive Utility of the Multivariable Apnea Index for Obstructive Sleep Apnea in Women

نویسندگان

چکیده

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 by comparing without T2DM across all categories severity including mild (AHI ≥5). Methods sample (N=386) comprised participants from Diabetes Sleep Treatment Trial who were recruited because risk (n=279), EMPOWER study which examined triggers lapses or relapse after intentional weight loss overweight but otherwise healthy (n=115). AHI assessed in-home study, ApneaLink Plus®. Descriptive statistics binomial logistic regression receiver operating characteristic conducted evaluate classification diagnosis, defined as ≥5 ≥10, between sexes menopause status. Results Participants middle aged (mean 54.09 years + 10.63), obese BMI 34.79 6.52 kg/m2), primarily female (67%), white (64%). Compared men, younger (52.99 10.15 vs. 56.26 11.25, p=0.004) had lower (9.10 18.94 17.25 18.94, p<0.001). No significant differences, except age, noted pre- women. Sensitivity on diagnosis than ≥5: 94.7% 76%; ≥10: 84.2% vs 29.6%). using (74.0% 98.8%) ≥10 (19.0% 32.1%). Conclusion This validation corroborates that better at identifying women, post- values severity. Improved methods are needed detect high OSA. Support (If Any) funded National Institutes Health (R01-DK090628, R01-HL107370).

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

diagnostic accuracy of the multivariable apnea prediction (map) index as a screening tool for obstructive sleep apnea

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...

متن کامل

Obstructive sleep apnea and the severity of coronary artery disease

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 ...

متن کامل

Determination of The Relationship Between Severity of Obstructive Sleep Apnea And Chronic Obstructive Pulmonary Disease

Introduction: Chronic obstructive pulmonary disease (COPD) patients are at increased risk of sleep-disorders. The concomitant occurrence of COPD and obstructive sleep apnea hypopnea syndrome (OSAHS) is named overlap syndrome. This study aimed to evaluate the severity of OSAHS in overlap syndrome patients.Materials & Methods: This cross-sectional study was conducted on adult patients with forced...

متن کامل

Diagnostic Accuracy of the Multivariable Apnea Prediction (MAP) Index as a Screening Tool for Obstructive Sleep Apnea

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...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Sleep

سال: 2022

ISSN: ['0302-5128']

DOI: https://doi.org/10.1093/sleep/zsac079.706