[ Marqueurs biochimiques et COVID-19: Quel sont les marqueurs prédictifs de la sévérité de l’infection ? ]
Volume 58, Issue 2, January 2022, Pages 105–115
Rachid Elfaiz1, Imad Elfaiz2, Asmae Morjan3, and Nabiha Kamal4
1 Laboratoire de biochimie, CHU Ibn Rochd de Casablanca, Morocco
2 Laboratoire de biochimie, CHU Ibn Rochd de Casablanca, Morocco
3 Laboratoire de biochimie, CHU Ibn Rochd de Casablanca, Morocco
4 Laboratoire de biochimie, CHU Ibn Rochd, Casablanca, Morocco
Original language: French
Copyright © 2022 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Introduction: SARS-CoV-2 infection can induce disturbances of several biochemical parameters especially in patients with severe or critical forms of the disease. The aim of this study is to evaluate the predictive markers of the severity of COVID-19.Materials and methods: Retrospective descriptive study, involving 129 COVID-19 positive patients. Patients were classified into two cohorts: severe (n=103) and non-severe (n=26) cases. The ROC curve and the associated area under the curve determination were used to determine the predictors of disease severity.Results: The comparison between the two groups shows that the values of AST, GGT, LDH, CPK, CRP, Ferritin, PCT, Urea, Magnesium, Troponin I and BNP were significantly higher in patients with severe forms of COVID-19 compared to those with non-severe forms. While albumin, Chlorine and Calcium were significantly decreased in severe patients. ROC curve analysis showed that Albumin (AUC = 0.779), LDH (AUC = 0.798) and PCT (AUC = 0.732) have a medium predictive value for the severity of COVID-19. While the prognostic value were good for BNP (AUC = 0.854), CRP (AUC = 0.845) and high sensitivity Troponin I (AUC = 0.812).Conclusion: The identification of biological factors predictive of the severity and/or mortality of COVID-19 infection will allow the development of predictive models of disease severity and their complementary uses in clinical practice for risk stratification and for early and adapted management to minimize the mortality rate and for rational allocation of medical resources.
Author Keywords: Novel coronavirus, SARS-CoV-2, severity, prognostic value, laboratory Parameters.
Volume 58, Issue 2, January 2022, Pages 105–115
Rachid Elfaiz1, Imad Elfaiz2, Asmae Morjan3, and Nabiha Kamal4
1 Laboratoire de biochimie, CHU Ibn Rochd de Casablanca, Morocco
2 Laboratoire de biochimie, CHU Ibn Rochd de Casablanca, Morocco
3 Laboratoire de biochimie, CHU Ibn Rochd de Casablanca, Morocco
4 Laboratoire de biochimie, CHU Ibn Rochd, Casablanca, Morocco
Original language: French
Copyright © 2022 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Introduction: SARS-CoV-2 infection can induce disturbances of several biochemical parameters especially in patients with severe or critical forms of the disease. The aim of this study is to evaluate the predictive markers of the severity of COVID-19.Materials and methods: Retrospective descriptive study, involving 129 COVID-19 positive patients. Patients were classified into two cohorts: severe (n=103) and non-severe (n=26) cases. The ROC curve and the associated area under the curve determination were used to determine the predictors of disease severity.Results: The comparison between the two groups shows that the values of AST, GGT, LDH, CPK, CRP, Ferritin, PCT, Urea, Magnesium, Troponin I and BNP were significantly higher in patients with severe forms of COVID-19 compared to those with non-severe forms. While albumin, Chlorine and Calcium were significantly decreased in severe patients. ROC curve analysis showed that Albumin (AUC = 0.779), LDH (AUC = 0.798) and PCT (AUC = 0.732) have a medium predictive value for the severity of COVID-19. While the prognostic value were good for BNP (AUC = 0.854), CRP (AUC = 0.845) and high sensitivity Troponin I (AUC = 0.812).Conclusion: The identification of biological factors predictive of the severity and/or mortality of COVID-19 infection will allow the development of predictive models of disease severity and their complementary uses in clinical practice for risk stratification and for early and adapted management to minimize the mortality rate and for rational allocation of medical resources.
Author Keywords: Novel coronavirus, SARS-CoV-2, severity, prognostic value, laboratory Parameters.
Abstract: (french)
Introduction: L’infection au SARS-CoV-2 peut induire des perturbations de plusieurs paramètres biochimiques en particulier chez les patients ayant les formes sévères de la maladie. L'objectif de cette étude est d’évaluer les marqueurs prédictifs de la sévérité de de la COVID-19.Matériels et méthodes: Étude rétrospective descriptive, concernant 129 patients COVID-19 positifs. Les patients ont été divisés en deux cohortes: les cas sévères (n=103) et les cas non sévères (n=26). La courbe ROC et la détermination de l’aire sous la courbe associée étaient utilisés pour déterminer les variables prédictives de la sévérité de la maladie.Résultats: La comparaison entre les deux groupes montre que les valeurs de l’ASAT, GGT, LDH, CPK, CRP, Ferritine, PCT, Urée, Magnésium, Troponine I et BNP étaient significativement élevées chez les cas sévères par rapport aux cas non sévères. Les valeurs de l’albumine, Chlore et le Calcium étaient significativement basses chez les cas sévères. L’analyse par courbe ROC a démontré que L’albumine (ASC = 0,779), LDH (ASC = 0,798) et la PCT (ASC = 0,732) ont une valeur prédictive moyenne de la sévérité de la COVID-19. La valeur pronostique était bonne pour BNP (ASC = 0,854), CRP (ASC = 0,845) et Troponine I hs (ASC = 0,812).Conclusion: La connaissance des facteurs biologiques prédictifs de la sévérité de l'infection par la COVID-19 permettra l’élaboration de modèles prédictifs de la sévérité de la maladie et leurs utilisations en complément dans la pratique clinique pour la stratification des risques et pour une prise en charge précoce afin de minimiser le taux de mortalité et pour une gestion rationnelle des ressources médicales.
Author Keywords: Nouveau coronavirus, SARS-CoV-2, gravité, valeur pronostique, paramètres biologique.
How to Cite this Article
Rachid Elfaiz, Imad Elfaiz, Asmae Morjan, and Nabiha Kamal, “Biochemical markers and COVID-19: Which markers predict the severity of the infection ?,” International Journal of Innovation and Scientific Research, vol. 58, no. 2, pp. 105–115, January 2022.
