ACCEPT 3.0: Recalibrating ACute COPD Exacerbation Prediction Tool (ACCEPT) for global use

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 $$\:\ge\:$$ 40 years with physician-diagnosed COPD and $$\:\ge\:$$ 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.

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Publication Details

Journal
Diagnostic and Prognostic Research
Published
2026-10-08
DOI
https://doi.org/10.1186/s41512-026-00242-x
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
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article

ACCEPT 3.0: Recalibrating ACute COPD Exacerbation Prediction Tool (ACCEPT) for global use

Surya Prakash Bhatt, Mohsen Sadatsafavi, Laura Huey Mien Lim, Amin Adibi et al.
Diagnostic and Prognostic Research
Chronic Obstructive Pulmonary Disease (COPD) Research
article

ACCEPT 3.0: Recalibrating ACute COPD Exacerbation Prediction Tool (ACCEPT) for global use

Surya Prakash Bhatt, Mohsen Sadatsafavi, Laura Huey Mien Lim, Amin Adibi, Pierre‐Régis Burgel, Della Varghese, Hana Mullerova, Jeenat Mehareen, Wenjia Chen, On behalf of the NOVELTY Scientific Community and NOVELTY study investigators, Don Sin, Jonathan Marshall, Christer Janson, Tae Yoon Lee
article en

Abstract

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 $$\:\ge\:$$ 40 years with physician-diagnosed COPD and $$\:\ge\:$$ 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.

Diagnostic and Prognostic ResearchVol. 10(1)
Openalex Percentile: Top 12%
Chronic Obstructive Pulmonary Disease (COPD) Research
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