Examining Risk Factors Accelerating Time-to-Chronic Obstructive Pulmonary Disease (COPD) Diagnosis among Asthma Patients.

IF 2.2 4区 医学 Q3 RESPIRATORY SYSTEM COPD: Journal of Chronic Obstructive Pulmonary Disease Pub Date : 2022-01-01 Epub Date: 2022-01-10 DOI:10.1080/15412555.2021.2024159
Michael Asamoah-Boaheng, Jamie Farrell, Kwadwo Osei Bonsu, William K Midodzi
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引用次数: 1

Abstract

Asthma patients may have an increased risk for diagnosis of chronic obstructive pulmonary disease (COPD). However, risk factors accelerating time-to-COPD diagnosis are unclear. This study aims to estimate risk factors associated with the incidence of COPD diagnosis in asthma patients. Canada's Population Data BC (PopData BC) was used to identify asthma patients without prior COPD diagnosis between January 1, 1998, to December 31, 1999. Patients were assessed for time-to-incidence of COPD diagnosis from January 1, 2000, to December 31, 2018. The study estimated the effects of several risk factors in predicting the incidence of COPD in asthma patients during the 18-year follow-up period. Patient factors such as Medication Adherence (MA) were assessed by the proportion of days covered (PDC) and the medication possession ratio (MPR). The log-logistic mixed-effects accelerated failure time model was used to estimate the adjusted failure time ratios (aFTR) and 95% Confidence Interval (95% CI) for factors predicting time-to-COPD diagnosis among asthma patients. We identified 68,211 asthma patients with a mean age of 48.2 years included in the analysis. Risk factors accelerating time-to-COPD diagnosis included: male sex (aFTR: 0.62, 95% CI:0.56-0.68), older adults (age > 40 years) [aFTR: 0.03, 95% CI: 0.02-0.04], history of tobacco smoking (aFTR: 0.29, 95% CI: 0.13-0.68), asthma exacerbations (aFTR: 0.81, 95%CI: 0.70, 0.94), frequent emergency admissions (aFTR:0.21, 95% CI: 0.17-0.25), longer hospital stay (aFTR:0.07, 95% CI: 0.06-0.09), patients with increased burden of comorbidities (aFTR:0.28, 95% CI: 0.22-0.34), obese male sex (aFTR:0.38, 95% CI: 0.15-0.99), SABA overuse (aFTR: 0.61, 95% CI: 0.44-0.84), moderate (aFTR:0.23, 95% CI: 0.21-0.26), and severe asthma (aFTR:0.10, 95% CI: 0.08-0.12). After adjustment, MA ≥0.80 was significantly associated with 83% delayed time-to-COPD diagnosis [i.e. aFTR =1.83, 95%CI: 1.54-2.17 for PDC]. However, asthma severity significantly modifies the effect of MA independent of tobacco smoking history. The targeted intervention aimed to mitigate early diagnosis of COPD may prioritize enhancing medication adherence among asthma patients to prevent frequent exacerbation during follow-up.

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研究哮喘患者加速慢性阻塞性肺疾病(COPD)诊断的危险因素。
哮喘患者被诊断为慢性阻塞性肺疾病(COPD)的风险可能增加。然而,加快copd诊断时间的危险因素尚不清楚。本研究旨在评估与哮喘患者COPD诊断发生率相关的危险因素。加拿大人口数据BC (PopData BC)用于识别1998年1月1日至1999年12月31日期间没有COPD诊断的哮喘患者。从2000年1月1日至2018年12月31日,对患者进行COPD诊断的发病时间评估。在18年的随访期间,该研究估计了几种危险因素对预测哮喘患者COPD发病率的影响。通过覆盖天数比例(PDC)和药物占有比(MPR)评估患者依从性(MA)等因素。使用log-logistic混合效应加速失效时间模型来估计哮喘患者诊断为copd所需时间的调整失效时间比(aFTR)和95%置信区间(95% CI)。我们在分析中确定了68211例哮喘患者,平均年龄为48.2岁。加速慢性阻塞性肺病诊断的危险因素包括:男性(after tr: 0.62, 95%CI: 0.56-0.68)、老年人(> 40岁)[after tr: 0.03, 95%CI: 0.02-0.04]、吸烟史(after tr: 0.29, 95%CI: 0.13-0.68)、哮喘加重(after tr: 0.81, 95%CI: 0.70, 0.94)、频繁急诊入院(after tr:0.21, 95%CI: 0.17-0.25)、住院时间较长(after tr:0.07, 95%CI: 0.06-0.09)、合共病负担加重(after tr:0.28, 95%CI: 0.06-0.09)。0.22-0.34)、肥胖男性(after tr:0.38, 95% CI: 0.15-0.99)、SABA过度使用(after tr: 0.61, 95% CI: 0.44-0.84)、中度(after tr:0.23, 95% CI: 0.21-0.26)和重度哮喘(after tr:0.10, 95% CI: 0.08-0.12)。调整后,MA≥0.80与83%的copd延迟诊断时间显著相关[即,PDC延迟诊断时间=1.83,95%CI: 1.54-2.17]。然而,哮喘严重程度显著改变了独立于吸烟史的MA的作用。旨在减轻COPD早期诊断的针对性干预可能优先考虑提高哮喘患者的药物依从性,以防止随访期间频繁恶化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
38
审稿时长
6-12 weeks
期刊介绍: From pathophysiology and cell biology to pharmacology and psychosocial impact, COPD: Journal Of Chronic Obstructive Pulmonary Disease publishes a wide range of original research, reviews, case studies, and conference proceedings to promote advances in the pathophysiology, diagnosis, management, and control of lung and airway disease and inflammation - providing a unique forum for the discussion, design, and evaluation of more efficient and effective strategies in patient care.
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