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Octogenarian patients with chronic obstructive pulmonary disease: Characteristics and usefulness of prognostic indexes

Authors :
María Suárez-Valor
Pilar Sanjuán-López
Esteban Cano-Jiménez
Alejandro Veres-Racamonde
Luis A. Pérez-de-Llano
Rafael Golpe
Irene Martín-Robles
Source :
Medicina clinica. 151(2)
Publication Year :
2017

Abstract

Background and objective Most studies on chronic obstructive pulmonary disease (COPD) exclude octogenarian patients. Therefore, the disease is not well characterized in this age group. The objective of this study is to analyze the clinical characteristics of octogenarian patients with COPD and the usefulness of the prognostic indexes used most frequently in this age group. Patients and method Retrospective study of consecutive patients seen at a clinic between 2009 and 2017. The following variables were analyzed: lung function parameters, distribution of clinical phenotypes, income history, mortality, comorbidities and usefulness of the Charlson, BODEX, COTE and CODEX indexes to predict mortality. Results The sample comprised 698 patients, 82 aged (11.7%) ≥ 80 years old. Mean follow-up time was 47.9 ± 21.8 months. In octogenarian patients, the severity of the COPD, assessed by means of the FEV1% or BODEX index, was similar to that of younger patients, but dyspnea was worse in the elderly group. In these patients, the chronic bronchitis and frequent exacerbator phenotypes were the most frequent, whilst the emphysema phenotype was the least common. Octogenarians had a greater prevalence of cardiovascular comorbidities and renal diseases. Moreover, hospital admissions were more frequent and mortality was higher in these elderly patients. Most prognostic indexes were useful in predicting mortality in elderly patients. CODEX was the most useful index to predict mortality, both in octogenarian and younger patients. Conclusion Octogenarian patients with COPD have differential characteristics which could imply the need for different therapeutic approaches. Prognostic indexes are useful for predicting mortality in this population.

Details

ISSN :
15788989
Volume :
151
Issue :
2
Database :
OpenAIRE
Journal :
Medicina clinica
Accession number :
edsair.doi.dedup.....69b46d9ccc244b7ef3f9c4889a951780