Role of hemogram-derived ratios and systemic-Immune inflammation index in prediction of COVID-19 progression in Egyptian patients
Taha, S., Samaan, S., Baioumy, S., Shata, A., Moussa, A., Abdalgeleel, S., Youssef, M. (2021). Role of hemogram-derived ratios and systemic-Immune inflammation index in prediction of COVID-19 progression in Egyptian patients. EKB Journal Management System, 2(4), 613-622. doi: 10.21608/mid.2021.84684.1168
Sara I. Taha; Sara F. Samaan; Shereen A. Baioumy; Aalaa K. Shata; Aya H. Moussa; Shaimaa A. Abdalgeleel; Mariam K. Youssef. "Role of hemogram-derived ratios and systemic-Immune inflammation index in prediction of COVID-19 progression in Egyptian patients". EKB Journal Management System, 2, 4, 2021, 613-622. doi: 10.21608/mid.2021.84684.1168
Taha, S., Samaan, S., Baioumy, S., Shata, A., Moussa, A., Abdalgeleel, S., Youssef, M. (2021). 'Role of hemogram-derived ratios and systemic-Immune inflammation index in prediction of COVID-19 progression in Egyptian patients', EKB Journal Management System, 2(4), pp. 613-622. doi: 10.21608/mid.2021.84684.1168
Taha, S., Samaan, S., Baioumy, S., Shata, A., Moussa, A., Abdalgeleel, S., Youssef, M. Role of hemogram-derived ratios and systemic-Immune inflammation index in prediction of COVID-19 progression in Egyptian patients. EKB Journal Management System, 2021; 2(4): 613-622. doi: 10.21608/mid.2021.84684.1168

Role of hemogram-derived ratios and systemic-Immune inflammation index in prediction of COVID-19 progression in Egyptian patients

Microbes and Infectious Diseases
Article 4, Volume 2, Issue 4, November 2021, Page 613-622  XML PDF (404.53 K)
Document Type: Original Article
DOI: 10.21608/mid.2021.84684.1168
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Authors
Sara I. Taha email orcid 1; Sara F. Samaan2; Shereen A. Baioumyorcid 3; Aalaa K. Shata4; Aya H. Moussaorcid 5; Shaimaa A. Abdalgeleelorcid 6; Mariam K. Yousseforcid 7
1Department of Clinical Pathology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
2Department of Internal Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
3Department of Microbiology and Immunology, Faculty of Medicine, Zagazig University, Egypt.
4Department of Pulmonary Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
5Department of Anesthesia, Intensive Care and Pain Management, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
6Department of Biostatistics and Epidemiology, National Cancer Institute, Cairo University, Cairo, Egypt.
7Department of Clinical Pathology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Abstract
Background: Early detection of COVID-19 patients with potentially severe disease is crucial for predicting the disease's course and prioritizing medical resources, lowering overall disease mortality. Objectives: To explore the role of baseline hemogram-derived ratios and systemic-immune inflammation index (SII), in addition to C-reactive protein (CRP), in predicting COVID-19 severity and prognosis. Methods: In this retrospective study, data were collected from the medical records of 425 COVID-19 patients. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and SII, together with the CRP, were investigated and compared. Results: NLR, PLR, SII, and CRP increased significantly in severe cases and with ICU admission (p < /em> ≤ 0.001). But, in non-survivors, only NLR and CRP were significantly elevated (p < /em><0.05). By interpreting area under the receiver operating characteristic curve (ROC-AUC), CRP and NLR were better predictors of disease severity (AUC: 0.7 for both), the need for ICU admission (AUC: 0.763 and 0.727, respectively), and in-hospital mortality (AUC: 0.812 and 0.75, respectively). SII was significantly associated with the risk of severe disease development (odds ratio (OR): 3.143; 95% confidence interval (CI): 1.101-8.976); CRP (OR: 2.902; CI95%: 1.342-6.273) and NLR (OR: 2.662; CI95%, 1.072-6.611) were significantly associated with ICU admission risk; and only CRP was significantly associated with in-hospital mortality risk (OR: 3.988; CI95%: 1.460-10.892). Conclusions: Values of CRP, SII, and NLR at the time of hospital admission could be independent prognostic biomarkers to predict COVID-19 progression.
Keywords
COVID-19; Inflammation index; Lymphocyte ratio; Mortality; Progression
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