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Albumin level as an independent predictive factor for adverse outcomes in COVID-19 patients: a retrospective cohort
Congyi Xie1, Sijiao Wang2, Jian Zhou2
1Department of Pulmonary Medicine, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, China.
Insights
Low albumin levels are linked to worse outcomes in COVID-19 patients. Albumin is an independent predictor of adverse events, with levels below 32.6 g/L showing a strong negative correlation with risk.
Area of Science:
- Clinical Medicine
- Infectious Diseases
- Biochemistry
Background:
- Limited research exists on the association between albumin (ALB) levels and clinical outcomes in coronavirus disease 2019 (COVID-19).
- Understanding predictors of adverse outcomes is crucial for managing COVID-19 patients.
Purpose of the Study:
- To investigate the relationship between serum albumin levels at admission and adverse clinical outcomes in COVID-19 patients.
- To determine if albumin level is an independent predictor of adverse events in COVID-19.
Main Methods:
- Retrospective cohort study of 199 COVID-19 patients.
- Collected clinical characteristics and laboratory values at admission.
- Utilized univariate/multivariate linear regression and generalized additive models (GAM) to analyze ALB and adverse outcomes.
Main Results:
- A non-linear relationship was identified between ALB levels and adverse outcomes, with an inflection point at 32.6 g/L.
- Below 32.6 g/L, ALB was negatively correlated with adverse outcomes; each 1 unit increase reduced risk by 79.6% (OR 0.204).
- Above 32.6 g/L, the correlation was weaker (OR 0.908).
Conclusions:
- The relationship between serum albumin and adverse outcomes in COVID-19 is non-linear.
- Serum albumin level is an independent predictive factor for adverse outcomes in COVID-19 patients.
Introduction:
Research on the association between albumin (ALB) level and clinical outcomes of coronavirus disease 2019 (COVID-19) are limited. This study aimed to investigate the relationship between albumin level at the time of admission and adverse outcomes in patients with COVID-19.
Methodology:
This was a retrospective cohort study with 199 COVID-19 patients from five designated hospitals in Fujian Province who were enrolled between 22 January and 27 February, 2020. Clinical characteristics and laboratory values at the time of admission were collected. Adverse outcomes were defined as meeting at least one of the following criteria: development of acute respiratory distress syndrome (ARDS), respiratory failure, shock, multiple organ failure (MOF), intensive care unit (ICU) admission and in-hospital mortality event. The univariate and multivariate linear regression models and generalized additive models (GAM) were used to analyze the relationship between ALB and adverse outcomes.
Results:
A non-linear relationship with an inflection point of 32.6g/L was detected between ALB and adverse outcomes after adjusting for potential confounders. The odds ratio and the confidence intervals on the left and right sides of the inflection point were 0.204 (0.061-0.681) and 0.908 (0.686-1.203), respectively. This suggested that ALB was negatively correlated with adverse outcomes when ALB was less than 32.6 g/L, and for every 1 unit increase in ALB, the risk of adverse outcomes was reduced by 79.6%.
Conclusions:
The relationship between ALB and adverse outcomes of COVID-19 is non-linear. ALB level is an independent predictive factor for adverse outcomes in COVID-19 patients.
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