Background. Galectin-3 is β-galactoside-binding lectin with several roles in immune-inflammatory response. To date, there is no evidence of Galectin-3 role as a prognostic predictor in COVID-19 disease. The aim of this study is to clarify the prognostic role of Galectin-3 in patients with COVID 19 acute respiratory failure.
Methods. We enrolled 156 consecutive patients with COVID-19 disease. Routine laboratory test, arterial blood gas, chest X-ray or Computed Tomography and Galectin-3 dosage were performed. The primary outcome was to assess Galectin-3 predictive power for 30-day mortality. Secondary outcomes were 30-day Intensive Care Unit admission and Acute Respiratory Distress Syndrome stratification according to Galectin-3 dosage. We performed Mann-Whitney U and Kruskal-Wallis tests for continuous variables comparison. Fisher’s exact test or Chi-square test were used for categorical variables analysis. Relationships between Galectin-3, clinical and laboratory data were identified using Spearman analysis. Receiver Operating Characteristic curves estimated Galectin-3 predictive power for the endpoints. With a fixed cut-off of 35.3 ng/ml, Kaplan-Meier with Log-Rank test and Cox Regression were performed to assess mortality and Intensive Care Unit admission risk.
Results. Galectin-3 correlated with many other prognostic predictors tested in our analysis. Moreover, patients with serum levels of Galectin-3 above 35.3 ng/ml had increased risk for mortality, Intensive Care Unit admission and severe Acute Respiratory Distress Syndrome.
Conclusions. Our study demonstrates the role of Galectin-3 as a predictor of mortality, Intensive Care Unit access and ARDS stratification in patients with COVID 19 acute respiratory failure.

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This is a list of supplementary files associated with this preprint. Click to download.
• File name: Additional file 1 • File format: .doc • Title of data: Demographic and clinical characteristics of patients. • Description of data: descriptive table of clinical and demographic features of our cohort
• File name: Additional file 2 • File format: .doc • Title of data: Correlations between Galectin-3, clinical and laboratory data • Description of data: table comparing Galectin 3 with clinical and laboratory features
• File name: Additional file 3 • File format: .doc • Title of data: Receiving operator characteristic curve for laboratory, clinical and arterial blood gas data • Description of data: table of ROC analysis
• File name: Additional file 4 • File format: .doc • Title of data: Comparison of clinical and laboratory data according to ARDS severity • Description of data: table comparing clinical and laboratory data for ARDS degree
• File name: Additional file 5 • File format: .doc • Title of data: Receiving operator characteristic analysis for mild ARDS Galectin-3 cut-off • Description of data: ROC curve for mild ARDS and Galectin 3 cut off
• File name: Additional file 6 • File format: .doc • Title of data: Receiving operator characteristic analysis for moderate ARDS Galectin-3 cut-off • Description of data: ROC curve for moderate ARDS and Galectin 3 cut off
• File name: Additional file 7 • File format: .doc • Title of data: Receiving operator characteristic analysis for severe ARDS Galectin-3 cut-off • Description of data: ROC curve for severe ARDS and Galectin 3 cut off
• File name: Additional file 8 • File format: .doc • Title of data: Receiving operator characteristic curve for ARDS severity • Description of data: table of ROC analysis for ARDS degree and Galectin 3 cut off
• File name: Additional file 9 • File format: .doc • Title of data: Mild and moderate ARDS Kaplan-Meier curves according to Galectin-3 cut-off. • Description of data: Kaplan-Meier curves stratifing mild and moderate ARDS for Galectin 3 cut off
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Posted 24 May, 2021
Posted 24 May, 2021
Background. Galectin-3 is β-galactoside-binding lectin with several roles in immune-inflammatory response. To date, there is no evidence of Galectin-3 role as a prognostic predictor in COVID-19 disease. The aim of this study is to clarify the prognostic role of Galectin-3 in patients with COVID 19 acute respiratory failure.
Methods. We enrolled 156 consecutive patients with COVID-19 disease. Routine laboratory test, arterial blood gas, chest X-ray or Computed Tomography and Galectin-3 dosage were performed. The primary outcome was to assess Galectin-3 predictive power for 30-day mortality. Secondary outcomes were 30-day Intensive Care Unit admission and Acute Respiratory Distress Syndrome stratification according to Galectin-3 dosage. We performed Mann-Whitney U and Kruskal-Wallis tests for continuous variables comparison. Fisher’s exact test or Chi-square test were used for categorical variables analysis. Relationships between Galectin-3, clinical and laboratory data were identified using Spearman analysis. Receiver Operating Characteristic curves estimated Galectin-3 predictive power for the endpoints. With a fixed cut-off of 35.3 ng/ml, Kaplan-Meier with Log-Rank test and Cox Regression were performed to assess mortality and Intensive Care Unit admission risk.
Results. Galectin-3 correlated with many other prognostic predictors tested in our analysis. Moreover, patients with serum levels of Galectin-3 above 35.3 ng/ml had increased risk for mortality, Intensive Care Unit admission and severe Acute Respiratory Distress Syndrome.
Conclusions. Our study demonstrates the role of Galectin-3 as a predictor of mortality, Intensive Care Unit access and ARDS stratification in patients with COVID 19 acute respiratory failure.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6
This is a list of supplementary files associated with this preprint. Click to download.
• File name: Additional file 1 • File format: .doc • Title of data: Demographic and clinical characteristics of patients. • Description of data: descriptive table of clinical and demographic features of our cohort
• File name: Additional file 2 • File format: .doc • Title of data: Correlations between Galectin-3, clinical and laboratory data • Description of data: table comparing Galectin 3 with clinical and laboratory features
• File name: Additional file 3 • File format: .doc • Title of data: Receiving operator characteristic curve for laboratory, clinical and arterial blood gas data • Description of data: table of ROC analysis
• File name: Additional file 4 • File format: .doc • Title of data: Comparison of clinical and laboratory data according to ARDS severity • Description of data: table comparing clinical and laboratory data for ARDS degree
• File name: Additional file 5 • File format: .doc • Title of data: Receiving operator characteristic analysis for mild ARDS Galectin-3 cut-off • Description of data: ROC curve for mild ARDS and Galectin 3 cut off
• File name: Additional file 6 • File format: .doc • Title of data: Receiving operator characteristic analysis for moderate ARDS Galectin-3 cut-off • Description of data: ROC curve for moderate ARDS and Galectin 3 cut off
• File name: Additional file 7 • File format: .doc • Title of data: Receiving operator characteristic analysis for severe ARDS Galectin-3 cut-off • Description of data: ROC curve for severe ARDS and Galectin 3 cut off
• File name: Additional file 8 • File format: .doc • Title of data: Receiving operator characteristic curve for ARDS severity • Description of data: table of ROC analysis for ARDS degree and Galectin 3 cut off
• File name: Additional file 9 • File format: .doc • Title of data: Mild and moderate ARDS Kaplan-Meier curves according to Galectin-3 cut-off. • Description of data: Kaplan-Meier curves stratifing mild and moderate ARDS for Galectin 3 cut off
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