Author: Dhar, S. K.; K, V.; Damodar, S.; Gujar, S.; Das, M.
Title: IL-6 and IL-10 as predictors of disease severity in COVID 19 patients: Results from Meta-analysis and Regression Cord-id: 8hv8rx6h Document date: 2020_8_17
ID: 8hv8rx6h
Snippet: Objectives: SARS-CoV-2, an infectious agent behind the ongoing COVID-19 pandemic, induces high levels of cytokines in patients contributing to the disease patho-physiology. Nonetheless, exact association and contribution of particular cytokines towards COVID-19 pathology remains poorly understood. This study performed a comprehensive meta-analysis to establish association between induced cytokines and COVID-19 disease severity to help in prognosis and clinical management. Methods: Scientific lit
Document: Objectives: SARS-CoV-2, an infectious agent behind the ongoing COVID-19 pandemic, induces high levels of cytokines in patients contributing to the disease patho-physiology. Nonetheless, exact association and contribution of particular cytokines towards COVID-19 pathology remains poorly understood. This study performed a comprehensive meta-analysis to establish association between induced cytokines and COVID-19 disease severity to help in prognosis and clinical management. Methods: Scientific literature was searched to identify 18 clinical studies. Standardized mean difference (SMD) for cytokines IL-2, IL-4, IL-6, IL-10, TNF- and IFN-{gamma} between severe and non-severe COVID-19 patient groups were summarized using random effects model. A classifier was built using logistic regression model with cytokines having significant SMD as covariates. Results: Out of the 6 cytokines, IL-6 and IL-10 showed statistically significant SMD across the studies synthesized. Classifier with mean values of both IL-6 and IL-10 as covariates performed well with accuracy of ~ 92% that was significantly higher than accuracy reported in literature with IL-6 and IL-10 as individual covariates. Conclusions: Simple panel proposed by us with only two cytokine markers can be used as predictors for fast diagnosis of patients with higher risk of COVID-19 disease deterioration and thus can be managed well for a favourable prognosis.
Search related documents:
Co phrase search for related documents- act cytokine and lung damage: 1
- act cytokine and lymphocyte ratio: 1
- acute inflammation and lung damage: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16
- acute inflammation and lymphocyte ratio: 1, 2, 3, 4, 5, 6, 7, 8
- acute lung damage and lung damage: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory distress syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23
- acute respiratory distress syndrome and lung damage: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory distress syndrome and lymphocyte ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory distress syndrome ards and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
- acute respiratory distress syndrome ards and lung damage: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory distress syndrome ards and lymphocyte ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- logistic regression model and lung damage: 1, 2
- logistic regression model and lymphocyte ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- logistic regression model develop and lymphocyte ratio: 1, 2
Co phrase search for related documents, hyperlinks ordered by date