Clinical phenotypes of COPD and their impact on quality of life: A cross-sectional study

Authors : Jeevanandham Anandan, Dharm Prakash Dwivedi, Vishnukanth Govindaraj

DOI : 10.1016/j.rmed.2023.107452

Volume : 220

Issue : 0

Year : 2023

Page No : 107452

Background: A Chronic Obstructive Pulmonary Disease (COPD) phenotype is a single or group of disease characteristics that describe differences between individuals based on clinically important factors such as symptoms, exacerbations, morbidity, and treatment responses. Many studies estimated the prevalence of various phenotypes, but very few studies looked into their quality of life. We aimed to estimate the prevalence of different COPD phenotypes and their disease-specific Health-Related Quality of Life (HRQoL). Materials and methods: The prospective study, with a sample size of 136, was conducted between May 2021 and December 2022 in a tertiary teaching institute. Based on their clinical features, COPD patients were classified into 4 different clinical phenotypes, and their disease-specific quality of life was assessed using St. George Respiratory Questionnaire-COPD(SGRQ-c) and COPD Assessment Test (CAT) questionnaires. Results: Among 136 COPD patients, the frequency of Non-Exacerbator (NE), Exacerbator Emphysema (EEM), Exacerbator Chronic Bronchitis (ECB), and Asthma COPD overlap (ACO) phenotypes was 79(58.1 %), 16(11.8 %), 31(22.8 %), and 10(7.4 %) respectively. Based on the SGRQ-c score, the ECB and EEM phenotypes had a significantly poorer Quality of life (QoL) when compared with NE(P<0.0001), ACO(P=0.011), phenotypes. Similarly, ECB and EEM phenotypes had significantly poorer QoL when compared to NE(P<0.0001), and ACO (P=0.015), based on the CAT score. ECB and EEM patients also had the worst scores in all individual CAT items and SGRQ-c components. Conclusion: NE was the most common followed by ECB phenotype. ECB and EEM phenotypes recorded the poorest quality of life without any significant differences among them. Further research is needed in the future to determine whether phenotype-specific therapies can produce better clinical outcomes.


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