Impact of Acute Exacerbation and Its Phenotypes on the Clinical Outcomes of Chronic Obstructive Pulmonary Disease in Hospitalized Patients: A Cross-Sectional Study

被引:6
|
作者
Ullah, Mohammed Kaleem [1 ,2 ]
Parthasarathi, Ashwaghosha [3 ,4 ]
Siddaiah, Jayaraj Biligere [5 ]
Vishwanath, Prashant [1 ]
Upadhyay, Swapna [6 ]
Ganguly, Koustav [6 ]
Mahesh, Padukudru Anand [5 ]
机构
[1] JSSAHER, Ctr Excellence Mol Biol & Regenerat Med, Dept Biochem, JSS Med Coll, Mysore 570015, Karnataka, India
[2] Univ Calif Berkeley, Sch Publ Hlth, Div Infect Dis & Vaccinol, Berkeley, CA 94720 USA
[3] Allergy Asthma & Chest Ctr, Mysore 570004, Karnataka, India
[4] RUTGERS Ctr Pharmacoepidemiol & Treatment Sci, New Brunswick, NJ 08901 USA
[5] JSSAHER, Dept Resp Med, JSS Med Coll, Mysore 570015, Karnataka, India
[6] Karolinska Inst, Inst Environm Med IMM, Unit Integrat Toxicol, S-17177 Stockholm, Sweden
基金
美国国家卫生研究院; 英国惠康基金;
关键词
COPD; acute exacerbation; phenotype; AECOPD; biomass; tobacco; mortality; EOSINOPHIL COUNTS; MITOCHONDRIAL-DNA; BIOMASS SMOKE; COPD PATIENTS; RISK-FACTORS; INFLAMMATORY RESPONSE; GENDER-DIFFERENCES; BLOOD EOSINOPHILS; NATURAL-HISTORY; SEX-DIFFERENCES;
D O I
10.3390/toxics10110667
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Acute exacerbations of COPD (AECOPD) are clinically significant events having therapeutic and prognostic consequences. However, there is a lot of variation in its clinical manifestations described by phenotypes. The phenotypes of AECOPD were categorized in this study based on pathology and exposure. In our cross-sectional study, conducted between 1 January 2016 to 31 December 2020, the patients were categorized into six groups based on pathology: non-bacterial and non-eosinophilic; bacterial; eosinophilic; bacterial infection with eosinophilia; pneumonia; and bronchiectasis. Further, four groups were classified based on exposure to tobacco smoke (TS), biomass smoke (BMS), both, or no exposure. Cox proportional-hazards regression analyses were performed to assess hazard ratios, and Kaplan-Meier analysis was performed to assess survival, which was then compared using the log-rank test. The odds ratio (OR) and independent predictors of ward admission type and length of hospital stay were assessed using binomial logistic regression analyses. Of the 2236 subjects, 2194 were selected. The median age of the cohort was 67.0 (60.0 to 74.0) and 75.2% were males. Mortality rates were higher in females than in males (6.2% vs. 2.3%). AECOPD-B (bacterial infection) subjects [HR 95% CI 6.42 (3.06-13.46)], followed by AECOPD-P (pneumonia) subjects [HR (95% CI: 4.33 (2.01-9.30)], were at higher mortality risk and had a more extended hospital stay (6.0 (4.0 to 9.5) days; 6.0 (4.0 to 10.0). Subjects with TS and BMS-AECOPD [HR 95% CI 7.24 (1.53-34.29)], followed by BMS-AECOPD [HR 95% CI 5.28 (2.46-11.35)], had higher mortality risk. Different phenotypes have different impacts on AECOPD clinical outcomes. A better understanding of AECOPD phenotypes could contribute to developing an algorithm for the precise management of different phenotypes.
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页数:19
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