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Decreased CO2 Levels as Indicators of Possible Mechanical Ventilation-Induced Hyperventilation in COVID-19 Patients: A Retrospective Analysis

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单位: [1]Wuhan Univ, Zhongnan Hosp, Dept Plast Surg, Wuhan, Peoples R China [2]Wuhan Univ, Zhongnan Hosp, Dept Thyroid & Breast Surg, Wuhan, Peoples R China [3]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Rheumatol & Immunol, Wuhan, Peoples R China [4]Wuhan Univ, Zhongnan Hosp, Dept Neurosurg, Wuhan, Peoples R China
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关键词: infectious disease pneumonia COVID-19 CO2 mechanical ventilation

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Background: Six months since the outbreak of coronavirus disease (COVID-19), the pandemic continues to grow worldwide, although the outbreak in Wuhan, the worst-hit area, has been controlled. Thus, based on the clinical experience in Wuhan, we hypothesized that there is a relationship between the patient's CO2 levels and prognosis. Methods: COVID-19 patients' information was retrospectively collected from medical records at the Leishenshan Hospital, Wuhan. Logistic and Cox regression analyses were conducted to determine the correlation between decreased CO2 levels and disease severity or mortality risk. The Kaplan-Meier curve analysis was coupled with the log-rank test to understand COVID-19 progression in patients with decreased CO2 levels. Curve fitting was used to confirm the correlation between computed tomography scores and CO2 levels. Results: Cox regression analysis showed that the mortality risk of COVID-19 patients correlated with decreased CO2 levels. The adjusted hazard ratios for decreased CO2 levels in COVID-19 patients were 8.710 [95% confidence interval (CI): 2.773-27.365, P < 0.001], and 4.754 (95% CI: 1.380-16.370, P = 0.013). The adjusted odds ratio was 0.950 (95% CI: 0.431-2.094, P = 0.900). The Kaplan-Meier survival curves demonstrated that patients with decreased CO2 levels had a higher risk of mortality. Conclusions: Decreased CO2 levels increased the mortality risk of COVID-19 patients, which might be caused by hyperventilation during mechanical ventilation. This finding provides important insights for clinical treatment recommendations.

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出版当年[2020]版:
大类 | 4 区 医学
小类 | 3 区 公共卫生、环境卫生与职业卫生
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 公共卫生、环境卫生与职业卫生
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出版当年[2019]版:
Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
最新[2023]版:
Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

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第一作者单位: [1]Wuhan Univ, Zhongnan Hosp, Dept Plast Surg, Wuhan, Peoples R China
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