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Systemic Inflammatory Index Is a Novel Predictor of Intubation Requirement and Mortality After Sars-Cov-2 Infection Publisher



Muhammad S1 ; Fischer I1 ; Naderi S2 ; Jouibari MF3 ; Abdolreza S2 ; Karimialavijeh E4 ; Aslzadeh S5 ; Mashayekhi M6 ; Zojaji M7 ; Kahlert UD1 ; Hanggi D1
Authors
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Authors Affiliations
  1. 1. Department of Neurosurgery, Medical Faculty, Heinrich-Heine-University, Moorenstrasse 5, Dusseldorf, 40225, Germany
  2. 2. Department of Neurosurgery, Tehran University of Medical Sciences, Theran, 1417613151, Iran
  3. 3. Neurosurgery Department, Shariati Hospital, Tehran University of Medical Sciences, Theran, 1417613151, Iran
  4. 4. Department of Emergency Medicine, Tehran University of Medical Sciences, Theran, 1417613151, Iran
  5. 5. Department of Neurology, Sina Hospital, Tehran University of Medical Sciences, Tehran, 1193653471, Iran
  6. 6. Department of Internal Medicine, Tabriz University of Medical Sciences, Tabriz, 5166/15731, Iran
  7. 7. Department of Internal Medicine, Qom University of Medical Sciences, Qom, 371364967, Iran

Source: Pathogens Published:2021


Abstract

Coronavirus disease 2019 (COVID-19), with an increasing number of deaths worldwide, has created a tragic global health and economic emergency. The disease, caused by severe acute respiratory syndrome coronavirus 2019 (SARS-CoV-19), is a multi-system inflammatory disease with many of COVID-19-positive patients requiring intensive medical care due to multi-organ failures. Biomarkers to reliably predict the patient’s clinical cause of the virus infection, ideally, to be applied in point of care testing or through routine diagnostic approaches, are highly needed. We aimed to probe if routinely assessed clinical lab values can predict the severity of the COVID-19 course. Therefore, we have retrospectively analyzed on admission laboratory findings in 224 consecutive patients from four hospitals and show that systemic immune inflammation index (SII) is a potent marker for predicting the requirement for invasive ventilator support and for worse clinical outcome of the infected patient. Patients’ survival and severity of SARS-CoV-2 infection could reliably be predicted at admission by calculating the systemic inflammatory index of individual blood values. We advocate this approach to be a feasible and easy-to-implement assay that may be particularly useful to improve patient management during high influx crisis. We believe with this work to contribute to improving infrastructure availability and case management associated with COVID-19 pandemic hurdles. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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