Laura Huey Mien Lim, Jeenat Mehareen, Amin Adibi, Christer Janson, Pierre-Régis Burgel, Tae Yoon Lee, Hana Müllerová, Della Varghese, Jonathan Marshall, Surya P Bhatt, Don Sin, Wenjia Chen, Mohsen Sadatsafavi
{"title":"ACCEPT 3.0: Recalibrating ACute COPD Exacerbation Prediction Tool (ACCEPT) for global use.","authors":"Laura Huey Mien Lim, Jeenat Mehareen, Amin Adibi, Christer Janson, Pierre-Régis Burgel, Tae Yoon Lee, Hana Müllerová, Della Varghese, Jonathan Marshall, Surya P Bhatt, Don Sin, Wenjia Chen, Mohsen Sadatsafavi","doi":"10.1186/s41512-026-00242-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The ACute COPD Exacerbation Prediction Tool (ACCEPT) is an algorithm for predicting 12-month risk of chronic obstructive pulmonary disease (COPD) exacerbations. To make it suitable for international use, we externally validated and recalibrated ACCEPT 2.0 to incorporate country-specific background exacerbation risk, using multi-country data from NOVELTY (a NOVEL observational longiTudinal studY).</p><p><strong>Methods: </strong>Our study cohort included patients aged [Formula: see text]40 years with physician-diagnosed COPD and [Formula: see text]30 days of follow-up. We predicted the occurrence of any moderate-to-severe (primary endpoint) and severe (secondary) exacerbations at 12 months, using country-level random effects to account for between-country differences in background exacerbation risks unexplained by predictor effects. We assessed model performance via discrimination, calibration, and net benefit.</p><p><strong>Results: </strong>The analysis sample comprised 5,181 patients (59.4% male, mean age at baseline 66.5 years) from 18 countries, with a mean follow-up of 357 days. 12-month risks ranged between 0.11 and 0.46 (mean = 0.26) for moderate-to-severe and 0.03-0.21 (mean = 0.08) for severe exacerbations. Without country-level adjustment, ACCEPT 2.0's area under the receiver operating characteristic curve (AUROC) was 0.73 (95% CI 0.72-0.75) and 0.76 (95% CI 0.73-0.78) for moderate-to-severe and severe exacerbations, respectively. However, ACCEPT 2.0 consistently overpredicted risks (observed-to-expected [O/E] risk ratio = 0.57 [95% CI 0.54-0.60] and 0.51 [95% CI 0.46-0.56]). After country-level recalibration, ACCEPT 3.0 showed similar AUROCs (0.75 and 0.76) but substantially improved calibration (O/E ratios: 0.99 [95% CI 0.94-1.05] and 0.99 [95% CI 0.90-1.09]). The net benefit of ACCEPT 3.0 exceeded ACCEPT 2.0 across treatment thresholds of 5%-20%.</p><p><strong>Conclusion: </strong>Recalibrating ACCEPT 2.0 with country-level effects significantly improved calibration of COPD exacerbation risks. The resulting ACCEPT 3.0 is expected to provide higher clinical utility across a range of treatment thresholds.</p>","PeriodicalId":72800,"journal":{"name":"Diagnostic and prognostic research","volume":"10 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13651374/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostic and prognostic research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41512-026-00242-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The ACute COPD Exacerbation Prediction Tool (ACCEPT) is an algorithm for predicting 12-month risk of chronic obstructive pulmonary disease (COPD) exacerbations. To make it suitable for international use, we externally validated and recalibrated ACCEPT 2.0 to incorporate country-specific background exacerbation risk, using multi-country data from NOVELTY (a NOVEL observational longiTudinal studY).
Methods: Our study cohort included patients aged [Formula: see text]40 years with physician-diagnosed COPD and [Formula: see text]30 days of follow-up. We predicted the occurrence of any moderate-to-severe (primary endpoint) and severe (secondary) exacerbations at 12 months, using country-level random effects to account for between-country differences in background exacerbation risks unexplained by predictor effects. We assessed model performance via discrimination, calibration, and net benefit.
Results: The analysis sample comprised 5,181 patients (59.4% male, mean age at baseline 66.5 years) from 18 countries, with a mean follow-up of 357 days. 12-month risks ranged between 0.11 and 0.46 (mean = 0.26) for moderate-to-severe and 0.03-0.21 (mean = 0.08) for severe exacerbations. Without country-level adjustment, ACCEPT 2.0's area under the receiver operating characteristic curve (AUROC) was 0.73 (95% CI 0.72-0.75) and 0.76 (95% CI 0.73-0.78) for moderate-to-severe and severe exacerbations, respectively. However, ACCEPT 2.0 consistently overpredicted risks (observed-to-expected [O/E] risk ratio = 0.57 [95% CI 0.54-0.60] and 0.51 [95% CI 0.46-0.56]). After country-level recalibration, ACCEPT 3.0 showed similar AUROCs (0.75 and 0.76) but substantially improved calibration (O/E ratios: 0.99 [95% CI 0.94-1.05] and 0.99 [95% CI 0.90-1.09]). The net benefit of ACCEPT 3.0 exceeded ACCEPT 2.0 across treatment thresholds of 5%-20%.
Conclusion: Recalibrating ACCEPT 2.0 with country-level effects significantly improved calibration of COPD exacerbation risks. The resulting ACCEPT 3.0 is expected to provide higher clinical utility across a range of treatment thresholds.