인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Decreased total CO<sub>2</sub> (tCO<sub>2</sub>) is significantly associated with all-cause mortality in critically ill patients. Because of a lack of data to evaluate the impact of tCO<sub>2</sub> in patients with COVID-19, we assessed the impact of tCO<sub>2</sub> on all-cause mortality in this study. We retrospectively reviewed the data of hospitalized patients with COVID-19 in two Korean referral hospitals between February 2020 and September 2021. The primary outcome was in-hospital mortality. We assessed the impact of tCO<sub>2</sub> as a continuous variable on mortality using the Cox-proportional hazard model. In addition, we evaluated the relative factors associated with tCO<sub>2</sub> ≤ 22 mmol/L using logistic regression analysis. In 4,423 patients included, the mean tCO<sub>2</sub> was 24.8 ± 3.0 mmol/L, and 17.9% of patients with tCO<sub>2</sub> ≤ 22 mmol/L. An increase in mmol/L of tCO<sub>2</sub> decreased the risk of all-cause mortality by 4.8% after adjustment for age, sex, comorbidities, and laboratory values. Based on 22 mmol/L of tCO<sub>2</sub>, the risk of mortality was 1.7 times higher than that in patients with lower tCO<sub>2</sub>. This result was maintained in the analysis using a cutoff value of tCO<sub>2</sub> 24 mmol/L. Higher white blood cell count; lower hemoglobin, serum calcium, and eGFR; and higher uric acid, and aspartate aminotransferase were significantly associated with a tCO<sub>2</sub> value ≤ 22 mmol/L. Decreased tCO<sub>2</sub> significantly increased the risk of all-cause mortality in patients with COVID-19. Monitoring of tCO<sub>2</sub> could be a good indicator to predict prognosis and it needs to be appropriately managed in patients with specific conditions.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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