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Peer-reviewedCC BYDiagnostic and prognostic research

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

2 more authors
15 affiliations
  1. 1Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T1Z3, Canada. [email protected].
  2. 2Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. [email protected].
  3. 3BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. [email protected].
  4. 4Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T1Z3, Canada.
  5. 5Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
  6. 6Department of Respiratory Medicine, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
  7. 7Université Paris Cité, Institut Cochin, Inserm U1016, Paris, France.
  8. 8Quantitative Sciences Unit, Stanford University School of Medicine, Palo Alto, CA, 94304, USA.
  9. 9Respiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
  10. 10Respiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, USA.
  11. 11Global Medical Affairs - Respiratory, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
  12. 12Center for Lung Analytics and Imaging Research, Division of Pulmonary, Allergy and Critical Care Medicine, University of Alabama at Birmingham, University of Alabama at Birmingham, Birmingham, AL, USA.
  13. 13UBC Centre for Heart Lung Innovation (HLI), St. Paul's Hospital, Vancouver, BC, Canada.
  14. 14Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada.
  15. 15Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.

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.

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BibTeX
@article{lim2026accept,
  title = {{ACCEPT 3.0: Recalibrating ACute COPD Exacerbation Prediction Tool (ACCEPT) for global use.}},
  author = {Laura Huey Mien Lim and Jeenat Mehareen and Amin Adibi and Christer Janson and Pierre-Régis Burgel and Tae Yoon Lee and Hana Müllerová and Della Varghese and Jonathan Marshall and Surya P Bhatt and Don Sin and Wenjia Chen and Mohsen Sadatsafavi and NOVELTY Scientific Community and NOVELTY study investigators},
  journal = {Diagnostic and prognostic research},
  year = {2026},
  month = oct,
  doi = {10.1186/s41512-026-00242-x},
  url = {https://europepmc.org/article/MED/42850639},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - ACCEPT 3.0: Recalibrating ACute COPD Exacerbation Prediction Tool (ACCEPT) for global use.
AU  - Laura Huey Mien Lim
AU  - Jeenat Mehareen
AU  - Amin Adibi
AU  - Christer Janson
AU  - Pierre-Régis Burgel
AU  - Tae Yoon Lee
AU  - Hana Müllerová
AU  - Della Varghese
AU  - Jonathan Marshall
AU  - Surya P Bhatt
AU  - Don Sin
AU  - Wenjia Chen
AU  - Mohsen Sadatsafavi
AU  - NOVELTY Scientific Community and NOVELTY study investigators
PY  - 2026
DA  - 2026/10/08
JO  - Diagnostic and prognostic research
DO  - 10.1186/s41512-026-00242-x
UR  - https://europepmc.org/article/MED/42850639
AB  - 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.
SN  - 2397-7523
ER  -