The Birmingham Lung Improvement Studies (BLISS) prognostic score for predicting respiratory hospitalisations among primary care COPD patients:development, internal and external validation in population cohorts

Objectives<br/>Development, internal, external validation of a prognostic score to predict two-year risk of respiratory admission among individuals with COPD.<br/><br/>Design, Setting and participants<br/>Model development and internal validation using 1894 patients from the Birmingham COPD primary care (BLISS) cohort of new and existing COPD patients. External validation using the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints COPD (ECLIPSE) international cohort (1749 moderate to very-severe COPD patients), and 27,340 COPD patients from the UK primary care Clinical Practice Research Datalink (CPRD) Aurum database linked with Hospital Episode Statistics.<br/><br/>Methods<br/>The model was developed from 23 candidate predictors using multivariable logistic regression with bootstrapping for internal validation and adjustment for overfitting and optimism. Discrimination and calibration were assessed at each stage. Net benefit of the score (clinical utility) was examined across a range clinically relevant risk thresholds compared with using individual score components. Sub-group and sensitivity analyses were conducted in the CPRD. The BLISS score was directly compared with the Bertens’ score in the ECLIPSE cohort. Clinical implementation was explored with relevant stakeholders.<br/><br/>Main outcome measure<br/>One or more respiratory admissions within 2 years of cohort entry for development, internal validation and external validation in the CPRD; severe exacerbation within 2 years for external validation in the ECLIPSE cohort. <br/><br/>Results<br/>Six predictors were retained (age, CAT score, respiratory admissions in the previous 12 months, BMI, diabetes, FEV1 % predicted) to form the BLISS score for estimating an individual’s 2-year risk of respiratory admission. The score had similar discrimination performance on internal validation (optimism-adjusted c statistic 0.73 (95% CI 0.70, 0.77)) and external validation (ECLIPSE: c = 0.73 (95% CI 0.71 to 0.76); CPRD: c=0.71 (95% CI 0.70 to 0.72)), and good calibration performance in the BLISS (slope = 0.87 (0.73 to 1.02), CPRD (0.89 (0.85, 0.93)) and ECLIPSE cohorts (0.90 (0.87, 0.93)). Stratified analysis in the CPRD cohort showed it was robust in different population sub-groups. Net benefit analyses demonstrated superiority of the BLISS score over individual predictors and the Bertens’ score (c=0.68 (0.65 to 0.71); calibration slope 0.68 (0.56 to 0.81)).<br/><br/>Conclusions<br/>The BLISS score showed good performance in estimating individual risk of respiratory admission (within two years) in cohorts containing patients from different settings, geographical locations and severities. Four of the included six variables are readily available in primary care records and two, partially available but easy to collect. Impact evaluations are now needed to fully study its use in clinical care. <br/><br/>Study registration: ECLIPSE ClinicalTrials.gov Identifier NCT00292552<br/><br/>Funding: The BLISS cohort was funded by the UK National Institute for Health Research and ECLIPSE by GlaxoSmithKline (study code SCO104960). External validation using the CPRD was funded by the University of Birmingham Research Development Fund.

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University of Birmingham Research Portal (University of Birmingham)
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2026-02-02
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Chronic Obstructive Pulmonary Disease (COPD) Research
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article

The Birmingham Lung Improvement Studies (BLISS) prognostic score for predicting respiratory hospitalisations among primary care COPD patients:development, internal and external validation in population cohorts

Amanda Daley, Alexandra Enocson, Frank de Vries, Stanley W. Siebert et al.
University of Birmingham Research Portal (University of Birmingham)
Chronic Obstructive Pulmonary Disease (COPD) Research
article

The Birmingham Lung Improvement Studies (BLISS) prognostic score for predicting respiratory hospitalisations among primary care COPD patients:development, internal and external validation in population cohorts

Amanda Daley, Alexandra Enocson, Frank de Vries, Stanley W. Siebert, Jonathan Geoffrey Ayres, Sue; id_orcid 0000-0001-8936-3745 Jowett, Alice Turner, Alice; id_orcid 0000-0001-7727-4497 Sitch, Nicola; id_orcid 0000-0003-0543-3254 Adderley, Kate; id_orcid 0000-0002-6224-2115 Jolly, Sheila Greenfield, Brendan G Cooper, Frits M.E. Franssen, Rachel; id_orcid 0000-0002-0747-6883 Jordan, KK Cheng, Spencer Keene, Emiel F.M. Wouters, Robert Stockley, Martin Miller, Andy Dickens, Peymane; id_orcid 0000-0001-9087-3945 Adab, David Fitzmaurice, James; id_orcid 0000-0002-6949-4200 Martin, Richard; id_orcid 0000-0001-8699-0735 Riley
article en

Abstract

Objectives<br/>Development, internal, external validation of a prognostic score to predict two-year risk of respiratory admission among individuals with COPD.<br/><br/>Design, Setting and participants<br/>Model development and internal validation using 1894 patients from the Birmingham COPD primary care (BLISS) cohort of new and existing COPD patients. External validation using the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints COPD (ECLIPSE) international cohort (1749 moderate to very-severe COPD patients), and 27,340 COPD patients from the UK primary care Clinical Practice Research Datalink (CPRD) Aurum database linked with Hospital Episode Statistics.<br/><br/>Methods<br/>The model was developed from 23 candidate predictors using multivariable logistic regression with bootstrapping for internal validation and adjustment for overfitting and optimism. Discrimination and calibration were assessed at each stage. Net benefit of the score (clinical utility) was examined across a range clinically relevant risk thresholds compared with using individual score components. Sub-group and sensitivity analyses were conducted in the CPRD. The BLISS score was directly compared with the Bertens’ score in the ECLIPSE cohort. Clinical implementation was explored with relevant stakeholders.<br/><br/>Main outcome measure<br/>One or more respiratory admissions within 2 years of cohort entry for development, internal validation and external validation in the CPRD; severe exacerbation within 2 years for external validation in the ECLIPSE cohort. <br/><br/>Results<br/>Six predictors were retained (age, CAT score, respiratory admissions in the previous 12 months, BMI, diabetes, FEV1 % predicted) to form the BLISS score for estimating an individual’s 2-year risk of respiratory admission. The score had similar discrimination performance on internal validation (optimism-adjusted c statistic 0.73 (95% CI 0.70, 0.77)) and external validation (ECLIPSE: c = 0.73 (95% CI 0.71 to 0.76); CPRD: c=0.71 (95% CI 0.70 to 0.72)), and good calibration performance in the BLISS (slope = 0.87 (0.73 to 1.02), CPRD (0.89 (0.85, 0.93)) and ECLIPSE cohorts (0.90 (0.87, 0.93)). Stratified analysis in the CPRD cohort showed it was robust in different population sub-groups. Net benefit analyses demonstrated superiority of the BLISS score over individual predictors and the Bertens’ score (c=0.68 (0.65 to 0.71); calibration slope 0.68 (0.56 to 0.81)).<br/><br/>Conclusions<br/>The BLISS score showed good performance in estimating individual risk of respiratory admission (within two years) in cohorts containing patients from different settings, geographical locations and severities. Four of the included six variables are readily available in primary care records and two, partially available but easy to collect. Impact evaluations are now needed to fully study its use in clinical care. <br/><br/>Study registration: ECLIPSE ClinicalTrials.gov Identifier NCT00292552<br/><br/>Funding: The BLISS cohort was funded by the UK National Institute for Health Research and ECLIPSE by GlaxoSmithKline (study code SCO104960). External validation using the CPRD was funded by the University of Birmingham Research Development Fund.

University of Birmingham Research Portal (University of Birmingham)
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Chronic Obstructive Pulmonary Disease (COPD) Research
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