Development of a Novel Scoring System for Comprehensive COVID-19 Patient Evaluation: An Evidence-based Systematic Review
Author | Abdollah Karimi | en |
Author | Roxana Mansour Ghanaie | en |
Author | Mohammad Reza Masjedi | en |
Author | Seyed Alireza Fahimzad | en |
Author | Sedigheh Rafiei Tabatabaei | en |
Author | Shahnaz Armin | en |
Author | Fatemeh Fallah | en |
Author | Katayoun Tayeri | en |
Author | Mahboobeh Haji Abdolbaghi | en |
Author | Armin Shirvani | en |
Author | Ali Bidari | en |
Author | Majid Mokhtari | en |
Author | Mojgan Sarmadi | en |
Author | Maryam Rajabnejad | en |
Orcid | Abdollah Karimi [0000-0002-4225-0097] | en |
Orcid | Roxana Mansour Ghanaie [0000-0001-7475-0240] | en |
Orcid | Mohammad Reza Masjedi [0000-0003-4660-3619] | en |
Orcid | Seyed Alireza Fahimzad [0000-0001-6054-0656] | en |
Orcid | Sedigheh Rafiei Tabatabaei [0000-0003-1723-9424] | en |
Orcid | Shahnaz Armin [0000-0002-4993-482X] | en |
Orcid | Armin Shirvani [0000-0001-9048-8289] | en |
Orcid | Ali Bidari [0000-0002-3583-1838] | en |
Orcid | Maryam Rajabnejad [0000-0003-3228-2922] | en |
Issued Date | 2021-01-31 | en |
Abstract | Context: In the era of the SARS-CoV-2 virus pandemic, new scoring systems need to be developed to estimate the risk of COVID-19 complications aiding in the accurate prognosis. Improved scoring systems by combining multiple variables allow clinicians to optimize the allocation of limited medical resources for the best clinical outcomes. Methods: Published articles were selected that assessed the relationship between clinical, para-clinical, demographics, co-morbidities, and outcomes of COVID-19 patients in a systematic review to develop a novel scoring system. Results: In this study, by summarizing the results of 97 studies and the experiences of experts, prognostic factors were determined and divided into four groups: Age, clinical symptoms, co-morbidities, and tests. Twenty-three published articles met the selection criteria and were included in this study. Accordingly, by the opinion of experts, prognostic factors were categorized into four main groups: Age, clinical symptoms, co-morbidities, and specific test results. Conclusions: This novel scoring model helps physicians to early identify critical COVID-19 patients and optimize patient management based on recent comprehensive data of the most significant predictive factors. | en |
DOI | https://doi.org/10.5812/pedinfect.110201 | en |
Keyword | SARS-CoV-2 | en |
Keyword | COVID-19 | en |
Keyword | Scoring System | en |
Keyword | Prediction | en |
Keyword | Severity | en |
Publisher | Brieflands | en |
Title | Development of a Novel Scoring System for Comprehensive COVID-19 Patient Evaluation: An Evidence-based Systematic Review | en |
Type | Systematic Review | en |
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