• Int. J. Clin. Pract. · Jan 2022

    Evidence-Based Prediction of COVID-19 Severity in Hospitalized Children.

    • Shahnaz Armin, Mohammadreza Mirkarimi, Zahra Pourmoghaddas, Marjan Tariverdi, Ahmad Shamsizadeh, Mohsen Alisamir, Maryam Mohammadian, Mohammad Bagher Rahmati, Sedigheh Rafiei Tabatabaei, Roxana Mansour Ghanaiee, Seyed Alireza Fahimzad, Ayeh Yaraghi, Seyedeh Mahsan Hoseini-Alfatemi, Noushin Marhamati, Esmaeili TarkiFarzadFhttps://orcid.org/0000-0002-2265-9995Pediatric Infections Research Center, Research Institute for Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Armin Shirvani, and Abdollah Karimi.
    • Pediatric Infections Research Center, Research Institute for Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
    • Int. J. Clin. Pract. 2022 Jan 1; 2022: 1918177.

    ObjectiveIn this study, by using clinical and paraclinical characteristics, we have aimed to predict the severity of the disease in hospitalized COVID-19 children.MethodThis cross-sectional study was conducted on medical records about epidemiologic data, underlying diseases, symptoms, and laboratory tests from March to October, 2020, on 238 hospitalized confirmed COVID-19 paediatric cases in several children's hospitals of Tehran, Ahwaz, Isfahan, and Bandar Abbas.ResultsFrom 238 patients, 140 (59%) were male and most of them were in the age group of 1 to 5 years (34.6%). Among all hospitalized patients, 38% had an underlying disease and in total, 5% of cases were expired.ConclusionDetermining patient severity is essential for appropriate clinical decision making; our results showed that in hospitalized pediatric patients, by using several variables such as SGOT, CRP, ALC, LDH, WBC, O2sat, and ferritin, we can use clinical and paraclinical characteristics for predicting the severity of COVID-19.Copyright © 2022 Shahnaz Armin et al.

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