Evidence map›Paper›PMID 41887721›Full record

ArticleBMJ open respiratory research2026

Predictive ability of the COPD-specific comorbidity test (COTE) score versus the Charlson comorbidity index (CCI) in patients with COPD.

Peter Jacobsen, Miguel Divo, Kristian Bundgaard Ringgren, Martin Jensen, Marie Dam Lauridsen, Christian Torp-Pedersen, Kristian Kragholm, Ulla Møller Weinreich

Abstract readComparative Study
In one paragraph

Article in BMJ open respiratory 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

What it found

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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

8 authors.

Peter JacobsenDepartment of Internal Medicine, North Denmark Regional Hospital, Hjorring, Denmark Peter.jacobsen@rn.dk.ORCID http://orcid.org/0000-0001-6083-7441
Miguel DivoHarvard Medical School, Boston, Massachusetts, USA.
Kristian Bundgaard RinggrenDepartment of Anaesthesiology and Intensive Care, Aalborg University Hospital, Aalborg, Denmark.
Martin JensenResearch Data & Statistics, Aalborg Universitetshospital, Aalborg, Denmark.
Marie Dam LauridsenDepartment of Internal Medicine, North Denmark Regional Hospital, Hjorring, Denmark.
Christian Torp-PedersenDepartment of Cardiology, Nordsjællands Hospital, Hillerod, Denmark.
Kristian KragholmClinical Institute, Aalborg University, Aalborg, Denmark.
Ulla Møller WeinreichClinical Institute, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0003-1975-3654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe chronic obstructive pulmonary disease (COPD)-specific comorbidity test (COTE) aims to predict long-term mortality in patients with COPD, whereas the Charlson comorbidity index (CCI) score is used as a validated tool for predicting long-term mortality across medical conditions. Comparison of the two comorbidity scores' ability to predict mortality has only been studied scarcely. AIMS AND

objectivesThis study aimed to compare the predictive ability of the COTE and CCI scores including the updated CCI score with updated weights (CCI (Quan)) in patients with COPD following acute exacerbation of chronic obstructive pulmonary disease (AECOPD).

methodsUsing nationwide registry data, all Danish patients at first admission due to AECOPD during 2005-2018 were included in this retrospective cohort study. 1-year mortality was explored including age, sex and CCI or COTE comorbidity scores. Logistic regression was performed with fivefold cross-validation comparing area under the curve (AUC) and optimal threshold using Youden index. The logistic regression models were furthermore examined using 10 000 bootstrap analyses and comparing the distribution of accuracy using a T-test. Cox regression analysis was used to compare Brier scores over time for models including combinations of age, sex, COTE, CCI and CCI (Quan).

resultsA total of 87 271 individuals were identified with a first-time AECOPD during the study period. The median age was 74 IQR (66, 81) and 48.4% were males.The logistic regression revealed an AUC of the CCI and CCI (Quan) models of 0.714 and for the COTE model 0.707 (p<0.001).Comparison using T-test on 10 000 bootstrap samples revealed small differences with an accuracy of 0.7281 (95% CI 0.7241 to 0.7320) for the COTE model and 0.7275 (95% CI 0.7235 to 7314) for the CCI model (p<0.001).Brier scores were 0.1793 for CCI, 0.1789 for CCI (Quan) and 0.1802 for COTE, only slightly favouring the CCI model.

conclusionsIn a cohort of patients with first-time AECOPD, we found similar predictive abilities of 1-year mortality comparing the CCI, CCI (Quan) and COTE score.

Indexed as

Pulmonary Disease, Chronic ObstructiveAgedAged, 80 and overComorbidityDenmarkDisease ProgressionFemaleHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsPrognosisRegistriesRetrospective StudiesSeverity of Illness IndexCOPD epidemiologyCOPD Exacerbations

Identifiers

PMID41887721
PMCPMC13034303

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