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

医学 慢性阻塞性肺病 生活质量(医疗保健) 内科学 表型 横断面研究 重症监护医学 环境卫生 病理 遗传学 生物 护理部 基因
作者
Jeevanandham Anandan,Dharm Prakash Dwivedi,Vishnukanth Govindaraj
出处
期刊:Respiratory Medicine [Elsevier BV]
卷期号:220: 107452-107452 被引量:4
标识
DOI:10.1016/j.rmed.2023.107452
摘要

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).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.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.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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