Evidence map›Paper›PMID 42850639›Full record

ArticleDiagnostic and prognostic research2026

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

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 and 4 more

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Article in Diagnostic and prognostic research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Laura Huey Mien LimRespiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T1Z3, Canada. hmienlim@yahoo.com.ORCID http://orcid.org/0009-0005-5384-8632
Jeenat MehareenRespiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T1Z3, Canada.
Amin AdibiRespiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T1Z3, Canada.
Christer JansonDepartment of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
Pierre-Régis BurgelDepartment of Respiratory Medicine, Cochin Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Tae Yoon LeeQuantitative Sciences Unit, Stanford University School of Medicine, Palo Alto, CA, 94304, USA.
Hana MüllerováRespiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Della VargheseRespiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Gaithersburg, USA.
Jonathan MarshallGlobal Medical Affairs - Respiratory, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.
Surya P BhattCenter 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.
Don SinUBC Centre for Heart Lung Innovation (HLI), St. Paul's Hospital, Vancouver, BC, Canada.
Wenjia ChenSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Mohsen SadatsafaviRespiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T1Z3, Canada.
NOVELTY Scientific Community and NOVELTY study investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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).

methodsOur 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.

resultsThe 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%.

conclusionRecalibrating 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.

Indexed as

COPDCountry variationExacerbationRisk prediction

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.