Evidence map›Paper›PMID 41771670›Full record

ArticleBMJ open respiratory research2026

Sociodemographic differences in clinical phenotypes among patients with COPD: a latent class analysis.

Caretia JeLayne Washington, Shama D Karanth, Gerard A Silvestri, Susmita Datta, Shantrel Canidate, Michael K Gould, Dejana Braithwaite

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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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5 · Who and what money

Authors and funding

7 authors.

Caretia JeLayne WashingtonDepartment of Epidemiology, University of Florida College of Public Health & Health Professions, Gainesville, Florida, USA.ORCID http://orcid.org/0000-0002-1205-5848
Shama D KaranthDivision of Population Health Sciences, University of Florida College of Medicine, Gainesville, Florida, USA.
Gerard A SilvestriDivision of Pulmonary Medicine, Thoracic Oncology Research Group, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Susmita DattaDepartment of Biostatistics, University of Florida, Gainesville, Florida, USA.
Shantrel CanidateDepartment of Epidemiology, University of Florida College of Public Health & Health Professions, Gainesville, Florida, USA.
Michael K GouldDepartment of Health Systems Science, Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, California, USA.ORCID http://orcid.org/0000-0001-6749-8315
Dejana BraithwaiteDepartment of Epidemiology, University of Florida College of Public Health & Health Professions, Gainesville, Florida, USA dbraithwaite@surgery.ufl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a heterogeneous condition whose clinical severity may be influenced by social factors. We aimed to identify distinct COPD clinical phenotypes and assess variation by social determinants of health.

methodsIn this retrospective cohort study, we identified adults aged 50-80 years with a diagnosis of COPD (n=59 797) at a tertiary academic medical centre in North-Central Florida using codes from International Classification of Diseases. Latent class analysis defined COPD clinical phenotypes using indicators of clinical severity, including frequency of acute care encounters (urgent care, emergency department visits and hospitalisations), presence of COPD as the principal diagnosis, comorbidity burden and use of Global Initiative for Chronic Obstructive Lung Disease Group D medications. Kaplan-Meier survival curves and Cox proportional hazards models assessed mortality across phenotypes. Multinomial logistic regression models estimated associations between phenotype membership and race/ethnicity, income, rurality and smoking status, using the minimal phenotype as reference.

resultsFive clinical phenotypes were identified: minimal (20.9%), mild (35.2%), moderate (22.5%), severe (12.2%) and very severe (9.3%). The very severe phenotype had the highest mortality (adjusted HR 2.94; 95% CI 2.72 to 3.18). Odds of very severe COPD were higher among non-Hispanic Black (adjusted OR (aOR) 1.29; 95% CI 1.21 to 1.36) and Hispanic individuals (aOR 1.75; 95% CI 1.63 to 1.87), those in the lowest income communities (aOR 1.25; 95% CI 1.18 to 1.32), rural residents (aOR 1.80; 95% CI 1.68 to 1.92) and individuals who currently smoke (aOR 1.30; 95% CI 1.20 to 1.42).

conclusionMost patients with COPD had mild disease; however, the very severe phenotype, which was associated with higher mortality, was more common among Black and Hispanic individuals, those residing in lower-income and rural areas and those who currently smoke. These clinical phenotypes highlight sociodemographic differences in COPD severity as reflected in healthcare utilisation and outcomes.

Indexed as

Pulmonary Disease, Chronic ObstructiveSocial Determinants of HealthAgedAged, 80 and overComorbidityFemaleFloridaHumansLatent Class AnalysisLow Socioeconomic StatusMaleMiddle AgedPhenotypeRetrospective StudiesSeverity of Illness IndexSmokingClinical EpidemiologyCOPD epidemiologyPulmonary Disease, Chronic Obstructive

Identifiers

PMID41771670
PMCPMC12958988

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