“The M-APNE score: an objective screening tool for OSA highlighting the area under the inspiratory flow-volume curve”
| dc.authorscopusid | Cengiz Özdemir / 56343360100 | |
| dc.authorwosid | Cengiz Özdemir / H-2105-2018 | |
| dc.contributor.author | Satıcı, Celal | |
| dc.contributor.author | Azaklı, Damla | |
| dc.contributor.author | Sokucu, Sinem Nedime | |
| dc.contributor.author | Aydın, Senay | |
| dc.contributor.author | Atasever, Furkan | |
| dc.contributor.author | Özdemir, Cengiz | |
| dc.date.accessioned | 2025-04-17T14:20:03Z | |
| dc.date.available | 2025-04-17T14:20:03Z | |
| dc.date.issued | 2025 | |
| dc.department | İstinye Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümü | |
| dc.description.abstract | Background Polysomnography (PSG) is resource-intensive but remains the gold standard for diagnosing Obstructive Sleep Apnea (OSA). We aimed to develop a screening tool to better allocate resources by identifying individuals at higher risk for OSA, overcoming limitations of current tools that may under-diagnose based on self-reported symptoms. Methods A total of 884 patients (490 diagnosed with OSA) were included, which was divided into the training, validation, and test sets. Using multivariate logistic regression analyses, we developed a scoring system incorporating male sex, age, sawtooth pattern, area under the inspiratory flow-volume curve (AreaFI), and neck circumference to objectively identify patients at higher risk of OSA. Sensitivity and specificity were evaluated using area under the curve (AUC) metrics. The M-APNE Score was compared to other non-symptom-based tools, the No-Apnea Score and the Symptomless Multivariable Apnea Prediction (sMVAP) model, using the Delong test. Results The M-APNE Score showed sensitivity rates of 79.3% in the training set, 70.8% in the test, and 80% in the validation set. ROC analysis for M-APNE score yielded AUCs of 0.82 in the training, 0.76 in the test, 0.82 in the validation set. The discriminative accuracy of M-APNE Score were found to be better than the No-Apnea Score (AUC = 0.82 vs. 0.76, p < 0.001) and the sMVAP (AUC = 0.82 vs. 0.75, p = 0.001) in the training set. Hosmer Lemeshow test indicated good calibration for M-Apne Score (p = 0.46). Conclusions The M-APNE Score is a robust and objective tool for OSA screening, potentially reducing classification errors and improving accuracy. | |
| dc.identifier.citation | Satici, C., Azakli, D., Sokucu, S. N., Aydin, S., Atasever, F., & Ozdemir, C. (2025). The M-APNE score: an objective screening tool for OSA highlighting the area under the inspiratory flow-volume curve. Sleep and Breathing, 29(1), 77. | |
| dc.identifier.doi | 10.1007/s11325-024-03239-2 | |
| dc.identifier.endpage | 13 | |
| dc.identifier.issn | 1520-9512 | |
| dc.identifier.issn | 1522-1709 | |
| dc.identifier.issue | 1 | |
| dc.identifier.scopus | 2-s2.0-85215546176 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 1 | |
| dc.identifier.uri | http://dx.doi.org/10.1007/s11325-024-03239-2 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12713/6294 | |
| dc.identifier.volume | 29 | |
| dc.identifier.wos | WOS:001397912700001 | |
| dc.identifier.wosquality | Q3 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Özdemir, Cengiz | |
| dc.institutionauthorid | Cengiz Özdemir / 0000-0002-9816-8885 | |
| dc.language.iso | en | |
| dc.publisher | Springer science and business media deutschland GmbH | |
| dc.relation.ispartof | Sleep and breathing | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Obstructive Sleep Apnea | |
| dc.subject | Pulmonary Function Test | |
| dc.subject | Screening Tool | |
| dc.title | “The M-APNE score: an objective screening tool for OSA highlighting the area under the inspiratory flow-volume curve” | |
| dc.type | Article |
