Luiz Antônio Alves de Menezes-Júnior , Virgínia Capistrano Fajardo , Raimundo Marques do Nascimento Neto , Silvia Nascimento de Freitas , Fernando Luiz Pereira de Oliveira , Fausto Aloísio Pedrosa Pimenta , George Luiz Lins Machado-Coelho , Adriana Lúcia Meireles
{"title":"The predictive values of BOAH and No-apnea score for screening obstructive sleep apnea in rotating shift worker drivers","authors":"Luiz Antônio Alves de Menezes-Júnior , Virgínia Capistrano Fajardo , Raimundo Marques do Nascimento Neto , Silvia Nascimento de Freitas , Fernando Luiz Pereira de Oliveira , Fausto Aloísio Pedrosa Pimenta , George Luiz Lins Machado-Coelho , Adriana Lúcia Meireles","doi":"10.1016/j.sleepx.2023.100084","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>To evaluate the BOAH (Body mass index, Observed apnea, Age, and Hypertension) and No-apnea score's diagnostic values for detecting obstructive sleep apnea (OSA) risk in shift workers.</p></div><div><h3>Methods</h3><p>Cross-sectional study with male rotating shift workers and drivers of heavy off-road machinery. The BOAH score is based on body mass index, witnessed apneas during sleep, age, and hypertension. The No-apnea score is based on neck circumference and age. Based on the apnea-hypopnea index (AHI), the severity of OSA was categorized as least mild OSA (AHI ≥5/h), moderate to severe OSA (AHI ≥15/h), and severe OSA (AHI ≥30/h). Sensitivity, specificity, positive predictive value, negative predictive value, and areas under the curve (AUC) were calculated.</p></div><div><h3>Results</h3><p>Among 119 workers evaluated, 84.0% had AHI ≥5, 46.2% had AHI ≥15, and 14.3% had AHI ≥30. BOAH score with 2 points for AHI ≥5, the AUC was 0.679, and sensitivity and specificity were 41.0% and 94.7%, respectively. No-apnea score with 3 points AHI ≥5, the AUC was 0.692, and sensitivity and specificity were 70.0% and 68.4%, respectively. Furthermore, using at least one of the positive scores, the AUC was higher when compared to the single tests for AHI ≥5 (AUC = 0.727). And when both scores were positive, the AUC was higher for AHI ≥30 (AUC = 0.706).</p></div><div><h3>Conclusion</h3><p>In rotating shift workers and drivers of heavy off-road machinery, BOAH, and No-apnea scores can be helpful tools in identifying individuals at risk for sleep apnea. In addition, matching the scores may increase the prediction of OSA.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"6 ","pages":"Article 100084"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/37/7b/main.PMC10497842.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep Medicine: X","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590142723000241","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To evaluate the BOAH (Body mass index, Observed apnea, Age, and Hypertension) and No-apnea score's diagnostic values for detecting obstructive sleep apnea (OSA) risk in shift workers.
Methods
Cross-sectional study with male rotating shift workers and drivers of heavy off-road machinery. The BOAH score is based on body mass index, witnessed apneas during sleep, age, and hypertension. The No-apnea score is based on neck circumference and age. Based on the apnea-hypopnea index (AHI), the severity of OSA was categorized as least mild OSA (AHI ≥5/h), moderate to severe OSA (AHI ≥15/h), and severe OSA (AHI ≥30/h). Sensitivity, specificity, positive predictive value, negative predictive value, and areas under the curve (AUC) were calculated.
Results
Among 119 workers evaluated, 84.0% had AHI ≥5, 46.2% had AHI ≥15, and 14.3% had AHI ≥30. BOAH score with 2 points for AHI ≥5, the AUC was 0.679, and sensitivity and specificity were 41.0% and 94.7%, respectively. No-apnea score with 3 points AHI ≥5, the AUC was 0.692, and sensitivity and specificity were 70.0% and 68.4%, respectively. Furthermore, using at least one of the positive scores, the AUC was higher when compared to the single tests for AHI ≥5 (AUC = 0.727). And when both scores were positive, the AUC was higher for AHI ≥30 (AUC = 0.706).
Conclusion
In rotating shift workers and drivers of heavy off-road machinery, BOAH, and No-apnea scores can be helpful tools in identifying individuals at risk for sleep apnea. In addition, matching the scores may increase the prediction of OSA.