Implication of Admission Eosinophil Count and Prognosis of Coronavirus Disease 2019 (COVID-19) in Elderly Patients With COPD: A Territory-Wide Cohort Study

IF 2.3 4区 医学 Q3 RESPIRATORY SYSTEM
Wang Chun Kwok, Yat Fung Shea, James Chung Man Ho, David Chi Leung Lam, Terence Chi Chun Tam, Anthony Raymond Tam, Mary Sau Man Ip, Ivan Fan Ngai Hung
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引用次数: 0

Abstract

Objectives

This study aims to investigate the association between elderly patients with COPD with different blood eosinophil on admission and those without COPD and the prognosis of COVID-19.

Method

A territory-wide retrospective study was conducted to investigate the association between elderly COPD patients with different blood eosinophil on admission and the prognosis of COVID-19. Elderly patients admitted to public hospitals and community treatment facility in Hong Kong for COVID-19 from January 23, 2020, to September 31, 2021, were included in the study. Severe diseases were defined as those who develop respiratory complications, systemic complications and death.

Results

Among the 1925 patients included, 133 had COPD. Forty had admission blood eosinophil count ≥ 150 cells/μL, and 93 had blood eosinophil count < 150 cells/μL. Patients with COPD and admission blood eosinophil count ≥ 150 cells/μL, but not those with admission blood eosinophil count < 150 cells/μL, had severe COVID-19 with the development of respiratory and systemic complications. They were more likely to develop respiratory failure (OR = 5.235, 95% CI = 2.088–13.122, p < 0.001) and require invasive mechanical ventilation (OR = 2.433, 95% CI = 1.022–5.791, p = 0.045) and intensive care unit admission (OR = 2.214, 95% CI = 1.004–4.881, p = 0.049).

Discussion

Our study suggested that the blood eosinophil count on admission could have significant prognostic implications among elderly patients with COPD. Patients with COPD and admission blood eosinophil count ≥ 150 cells/μL, but not those with admission blood eosinophil count < 150 cells/μL, have significantly increased risks of developing respiratory and systemic complications from COVID-19, when compared with non-COPD patients.

老年COPD患者入院嗜酸性粒细胞计数与2019冠状病毒病(COVID-19)预后的意义:一项区域性队列研究
目的探讨老年COPD患者入院时不同血嗜酸性粒细胞与非COPD患者与COVID-19预后的关系。方法采用回顾性研究方法,探讨老年COPD患者入院时不同血嗜酸性粒细胞与COVID-19预后的关系。研究对象为2020年1月23日至2021年9月31日在香港公立医院和社区治疗机构就诊的老年COVID-19患者。严重疾病被定义为出现呼吸系统并发症、全身并发症和死亡。结果1925例患者中有133例患有慢性阻塞性肺病。入院时血嗜酸性粒细胞≥150 cells/μL 40例,入院时血嗜酸性粒细胞≥150 cells/μL 93例。慢性阻塞性肺病患者入院时血嗜酸性粒细胞≥150 cells/μL,入院时血嗜酸性粒细胞≥150 cells/μL,非入院时血嗜酸性粒细胞≥150 cells/μL的患者发生严重的COVID-19,并发呼吸和全身并发症。他们更容易发生呼吸衰竭(OR = 5.235, 95% CI = 2.088 ~ 13.122, p < 0.001),需要有创机械通气(OR = 2.433, 95% CI = 1.022 ~ 5.791, p = 0.045)和入住重症监护病房(OR = 2.214, 95% CI = 1.004 ~ 4.881, p = 0.049)。我们的研究表明,入院时的血嗜酸性粒细胞计数可能对老年COPD患者的预后有重要影响。COPD患者入院时血嗜酸性粒细胞计数≥150 cells/μL,而入院时血嗜酸性粒细胞计数≥150 cells/μL的患者与非COPD患者相比,发生COVID-19呼吸系统并发症的风险显著增加。
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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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