4.3 Article

Clinical characteristics and outcomes of hospitalized COVID-19 patients with COPD

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EXPERT REVIEW OF RESPIRATORY MEDICINE
卷 15, 期 8, 页码 1069-1076

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TAYLOR & FRANCIS LTD
DOI: 10.1080/17476348.2021.1923484

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COPD; covid-19; hypoxemia; pneumonia; prognosis

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This study investigated the characteristics and prognosis of COPD patients among COVID-19 population in Turkey. It found that although COPD patients had some poor prognostic features, there was no statistical difference in overall survival rates between COPD and non-COPD COVID-19 patients. Age, oxygenation status, serum D-dimer level, lymphocyte count, and pneumonia were significantly associated with mortality in COVID-19 patients.
Background Although COPD is not one of the most common comorbidities in COVID-19 patients, it can be more fatal in this group. This study aimed to investigate the characteristics and prognosis of COPD patients among the population with COVID-19. Research design and methods Patients diagnosed with positive PCR test were included in our multicentered, retrospective study. Patients with airway obstruction (previous spirometry) were included in 'COPD group'. Results The prevalence of COPD in COVID-19 patients was 4.96%(53/1069). There was a significant difference between COPD and non-COPD COVID-19 patients in terms of gender, mean age, presence of dyspnea, tachypnea, tachycardia, hypoxemia and presence of pneumonia. The mortality rate was 13.2% in COPD, 7% in non-COPD patients(p = 0.092). The significant predictors of mortality were higher age, lymphopenia (p < 0.001), hypoxemia (p = 0.028), high D-dimer level (p = 0.011), and presence of pneumonia (p = 0.043) in COVID-19 patients. Conclusions Our research is one of the first studies investigating characteristics of COPD patients with COVID-19 in Turkey. Although COPD patients had some poor prognostic features, there was no statistical difference between overall survival rates of two groups. Age, status of oxygenization, serum D-dimer level, lymphocyte count and pneumonia were significantly associated parameters with mortality in COVID-19.

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