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Dyschloremia During Severe COVID-19 Infection in Intensive Care Unit Patients.
- Source :
- Journal of Inflammatory Diseases; Winter2023, Vol. 26 Issue 4, p201-207, 7p
- Publication Year :
- 2023
-
Abstract
- Background: Dyschloremia is one of the most prevalent abnormalities that is highly associated with a high level of mortality in intensive care unit (ICU) patients. The current study evaluated serum chloride levels in COVID-19 patients hospitalized in the ICU. Methods: This cross-sectional study was conducted on 245 patients with severe COVID-19 who were admitted to the intensive care unit (ICU). Electrolytes, albumin, liver function test, complete blood count, serum chloride, and VBG were among the laboratory markers compared. The Chi-square, t-test, and logistic regression models were used to examine the relationship between these markers and the key outcomes, which included severity, mortality, intubation, and hospitalization. Findings: The Mean±SD age of patients was 58.16±17 years. The mean serum chloride level in the studied patients was 109.6±5.1 with a range of 100-134. According to the regression logistic model, variables like age, intubation status, pH, and chlorine levels significantly affected the outcome of COVID-19 disease. Patients with acidosis were 4.7 times more likely to die than those with alkalosis (P<0.001). The chance of dying in hyperchloremia is 2.38 times more compared to the normochloremia group (P<0.009). Conclusion: Patients with severe COVID-19 may present with chlorine abnormalities, including hyperchloremia. Hyperchloremia is also associated with poor clinical outcomes and a higher mortality risk. This relationship was independent of acid-base disorder. [ABSTRACT FROM AUTHOR]
- Subjects :
- INTENSIVE care units
ALBUMINS
LIVER function tests
BIOMARKERS
COVID-19
CRITICALLY ill
CROSS-sectional method
CHLORIDES
PATIENTS
SEVERITY of illness index
T-test (Statistics)
HOSPITAL care
CHI-squared test
DESCRIPTIVE statistics
RESEARCH funding
ELECTROLYTES
BLOOD cell count
LOGISTIC regression analysis
ACIDOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 27174158
- Volume :
- 26
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Inflammatory Diseases
- Publication Type :
- Academic Journal
- Accession number :
- 171951599
- Full Text :
- https://doi.org/10.32598/JID.26.4.5