Development of an Objective Tool for Predicting Obstructive Sleep Apnea among Adults: PAN Apnea Index
Background and Objective: Obstructive sleep apnea (OSA) is an important health problem, which is commonly under-diagnosed especially in workplace settings. We tried to obtain a model with more objective variables due to the greater reliability in occupational settings. Materials and Methods: A total...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2020-07-01
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| Series: | Journal of Sleep Sciences |
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| Online Access: | https://jss.tums.ac.ir/index.php/jss/article/view/138 |
| _version_ | 1818568672595148800 |
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| author | Arezu Najafi Elham Afzalinejad Khosro Sadeghniiat-Haghighi Zahra Banafsheh Alemohammad Samaneh Akbarpour |
| author_facet | Arezu Najafi Elham Afzalinejad Khosro Sadeghniiat-Haghighi Zahra Banafsheh Alemohammad Samaneh Akbarpour |
| author_sort | Arezu Najafi |
| collection | DOAJ |
| description | Background and Objective: Obstructive sleep apnea (OSA) is an important health problem, which is commonly under-diagnosed especially in workplace settings. We tried to obtain a model with more objective variables due to the greater reliability in occupational settings.
Materials and Methods: A total of 374 suspected patients with OSA who underwent their first olysomnography (PSG) at Baharloo Sleep Clinic in Tehran, Iran, were enrolled in the study. Before PSG, all patients completed a ques-tionnaire including demographic characteristics. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured for all participants. Furthermore, a blood sample was collected for measuring fasting blood sugar (FBS) and hemoglobin A1c (HbA1c). All the patients underwent full PSG. Respiratory Disturbance Index (RDI) was calculated and recorded for all patients. Different multiple adjusted logistic regression models were constructed to find the best model for prediction of OSA.
Results: A total of 271 (72.5%) participants were men. The mean age and body mass index (BMI) were 48.58 ± 13.04 years and 30.4 ± 5.0 kg/m2, respectively. The prevalence of RDI ≥ 15 was 78.87% (n = 295). Using regression analysis, several models were obtained, where the best one yielded sensitivity and specificity of 77.29% and 67.09%, respectively. Area under the curve (AUC) of this model was 82%. The variables of this model included SBP, age, neck circumference-height ratio (NHR), FBS, BMI, and gender (PAN apnea index) with a cutoff point ≥ 8 for high-risk individuals.
Conclusion: In this study, we considered only objective parameters to predict OSA which enhances reliability for diag-nosis especially in occupational settings. |
| first_indexed | 2024-12-14T06:38:18Z |
| format | Article |
| id | doaj.art-484b2873fd734607952bde165d323191 |
| institution | Directory Open Access Journal |
| issn | 2476-2938 2476-2946 |
| language | English |
| last_indexed | 2024-12-14T06:38:18Z |
| publishDate | 2020-07-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Journal of Sleep Sciences |
| spelling | doaj.art-484b2873fd734607952bde165d3231912022-12-21T23:13:18ZengTehran University of Medical SciencesJournal of Sleep Sciences2476-29382476-29462020-07-0143-4Development of an Objective Tool for Predicting Obstructive Sleep Apnea among Adults: PAN Apnea IndexArezu Najafi0Elham Afzalinejad1Khosro Sadeghniiat-Haghighi2Zahra Banafsheh Alemohammad3Samaneh Akbarpour4Occupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, IranOccupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, IranOccupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, IranOccupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, IranOccupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, IranBackground and Objective: Obstructive sleep apnea (OSA) is an important health problem, which is commonly under-diagnosed especially in workplace settings. We tried to obtain a model with more objective variables due to the greater reliability in occupational settings. Materials and Methods: A total of 374 suspected patients with OSA who underwent their first olysomnography (PSG) at Baharloo Sleep Clinic in Tehran, Iran, were enrolled in the study. Before PSG, all patients completed a ques-tionnaire including demographic characteristics. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured for all participants. Furthermore, a blood sample was collected for measuring fasting blood sugar (FBS) and hemoglobin A1c (HbA1c). All the patients underwent full PSG. Respiratory Disturbance Index (RDI) was calculated and recorded for all patients. Different multiple adjusted logistic regression models were constructed to find the best model for prediction of OSA. Results: A total of 271 (72.5%) participants were men. The mean age and body mass index (BMI) were 48.58 ± 13.04 years and 30.4 ± 5.0 kg/m2, respectively. The prevalence of RDI ≥ 15 was 78.87% (n = 295). Using regression analysis, several models were obtained, where the best one yielded sensitivity and specificity of 77.29% and 67.09%, respectively. Area under the curve (AUC) of this model was 82%. The variables of this model included SBP, age, neck circumference-height ratio (NHR), FBS, BMI, and gender (PAN apnea index) with a cutoff point ≥ 8 for high-risk individuals. Conclusion: In this study, we considered only objective parameters to predict OSA which enhances reliability for diag-nosis especially in occupational settings.https://jss.tums.ac.ir/index.php/jss/article/view/138Sleep apnea; Obstructive; Polysomnography; Predictive value of tests |
| spellingShingle | Arezu Najafi Elham Afzalinejad Khosro Sadeghniiat-Haghighi Zahra Banafsheh Alemohammad Samaneh Akbarpour Development of an Objective Tool for Predicting Obstructive Sleep Apnea among Adults: PAN Apnea Index Journal of Sleep Sciences Sleep apnea; Obstructive; Polysomnography; Predictive value of tests |
| title | Development of an Objective Tool for Predicting Obstructive Sleep Apnea among Adults: PAN Apnea Index |
| title_full | Development of an Objective Tool for Predicting Obstructive Sleep Apnea among Adults: PAN Apnea Index |
| title_fullStr | Development of an Objective Tool for Predicting Obstructive Sleep Apnea among Adults: PAN Apnea Index |
| title_full_unstemmed | Development of an Objective Tool for Predicting Obstructive Sleep Apnea among Adults: PAN Apnea Index |
| title_short | Development of an Objective Tool for Predicting Obstructive Sleep Apnea among Adults: PAN Apnea Index |
| title_sort | development of an objective tool for predicting obstructive sleep apnea among adults pan apnea index |
| topic | Sleep apnea; Obstructive; Polysomnography; Predictive value of tests |
| url | https://jss.tums.ac.ir/index.php/jss/article/view/138 |
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