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A Retrospective, Cross-Sectional, Observational Study Comparing the Efficacy of Various Covid-19 Treatment Protocols
NeuroQuantology ; 20(9):5453-5458, 2022.
Article in English | EMBASE | ID: covidwho-2090985
ABSTRACT
Purpose and

Background:

The goal of this study is to examine the efficacy of various medications that are recommended for the treatment of patients in India who are suffering from mild-to-severe cases of corona virus disease 2019 (COVID-19). Method(s) In study carried out a retrospective, cross-sectional, observational and descriptive study. Patients diagnosed with COVID-19 ranging from mild, moderate and severe were given as part of this treatment. The primary objectives are to compare the categorical treatment protocols for COVID-19 (as per NIH Treatment Guidelines) infected mild, moderate and severe patients. To evaluate the efficacy of the drugs on the basis of at the time of discharge improvement in SPO2, RR, D-Dimer, PCT, CRP and Ferritin Values. Result(s) A total of 266 patients included in this study mild to severe COVID 19 infection led to significant improvement in SPO2, Respiratory rate (RR), D-Dimer, Procalcitonin (PCT), C-Reactive Protein (CRP) and Ferritin level. Conclusion(s) Adult patients with mild, moderate and severe COVID-19 infection, when treated with different drug combination, were more likely to improve in terms of inflammatory markers and disease severity markers and were more likely to have a better clinical profile at the end of the treatment period. Copyright © 2022, Anka Publishers. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: NeuroQuantology Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: NeuroQuantology Year: 2022 Document Type: Article