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Predictive Ability of Factors in diagnosing COVID-19: Experiences from Qatar's Primary Care Settings

OBJECTIVE: The aim of this paper is to establish the predictive ability of demographic and clinical factors in diagnosing Coronavirus Disease 2019 (COVID-19) in Qatar's publicly funded primary care settings. METHODS: Reverse transcription polymerase chain reaction (rt-PCR) test and COVID-19 scr...

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Autores principales: Syed, Dr. Mohamed Ahmed, Al Nuaimi, Dr. Ahmed Sameer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979608/
https://www.ncbi.nlm.nih.gov/pubmed/35720156
http://dx.doi.org/10.1016/j.ijregi.2022.03.018
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author Syed, Dr. Mohamed Ahmed
Al Nuaimi, Dr. Ahmed Sameer
author_facet Syed, Dr. Mohamed Ahmed
Al Nuaimi, Dr. Ahmed Sameer
author_sort Syed, Dr. Mohamed Ahmed
collection PubMed
description OBJECTIVE: The aim of this paper is to establish the predictive ability of demographic and clinical factors in diagnosing Coronavirus Disease 2019 (COVID-19) in Qatar's publicly funded primary care settings. METHODS: Reverse transcription polymerase chain reaction (rt-PCR) test and COVID-19 screening data (COVID-19 related factors) were extracted from electronic medical records for all individuals who visited a primary health care centre in Qatar between 15th March to 15th June 2020. Data analysis was undertaken to assess the validity of individual factors in predicting a positive rt-PCR test. RESULTS: Fever/history of fever [N= 1471 (54.7%); OR 4.6 (95% CI 4.16 - 5.08)], followed by cough [N=1020 (37.9%); OR 1.82 (95% CI 1.65 - 2)] and headache [N=372 (13.8%); OR 1.45 (95% CI 1.27 - 1.67)] were the most frequently reported clinical symptoms amongst individuals who tested positive for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) infection by rt-PCR. Only five factors, fever/history of fever, cough, working/living in an area reporting local transmission, gender and headache (ranked according to predictive power), were found to be statistically significant. Fever/history of fever alone had a specificity of 79.2% and it gradually increased to 99.9% in combination with runny nose, cough, male gender and age ≥ 50. CONCLUSIONS: The study identified predictive ability of factors in diagnosing COVID-19, individually and in combination. It proposes a scoring system for use in publicly funded primary care settings in Qatar without an rt-PCR test, thus enabling early isolation and treatment where necessary. Further similar studies are needed as newer variations of SARS-CoV2 are continuously emerging to ensure its accuracy.
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spelling pubmed-89796082022-04-05 Predictive Ability of Factors in diagnosing COVID-19: Experiences from Qatar's Primary Care Settings Syed, Dr. Mohamed Ahmed Al Nuaimi, Dr. Ahmed Sameer IJID Reg Coronavirus (COVID-19) Collection OBJECTIVE: The aim of this paper is to establish the predictive ability of demographic and clinical factors in diagnosing Coronavirus Disease 2019 (COVID-19) in Qatar's publicly funded primary care settings. METHODS: Reverse transcription polymerase chain reaction (rt-PCR) test and COVID-19 screening data (COVID-19 related factors) were extracted from electronic medical records for all individuals who visited a primary health care centre in Qatar between 15th March to 15th June 2020. Data analysis was undertaken to assess the validity of individual factors in predicting a positive rt-PCR test. RESULTS: Fever/history of fever [N= 1471 (54.7%); OR 4.6 (95% CI 4.16 - 5.08)], followed by cough [N=1020 (37.9%); OR 1.82 (95% CI 1.65 - 2)] and headache [N=372 (13.8%); OR 1.45 (95% CI 1.27 - 1.67)] were the most frequently reported clinical symptoms amongst individuals who tested positive for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) infection by rt-PCR. Only five factors, fever/history of fever, cough, working/living in an area reporting local transmission, gender and headache (ranked according to predictive power), were found to be statistically significant. Fever/history of fever alone had a specificity of 79.2% and it gradually increased to 99.9% in combination with runny nose, cough, male gender and age ≥ 50. CONCLUSIONS: The study identified predictive ability of factors in diagnosing COVID-19, individually and in combination. It proposes a scoring system for use in publicly funded primary care settings in Qatar without an rt-PCR test, thus enabling early isolation and treatment where necessary. Further similar studies are needed as newer variations of SARS-CoV2 are continuously emerging to ensure its accuracy. Elsevier 2022-04-04 /pmc/articles/PMC8979608/ /pubmed/35720156 http://dx.doi.org/10.1016/j.ijregi.2022.03.018 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Coronavirus (COVID-19) Collection
Syed, Dr. Mohamed Ahmed
Al Nuaimi, Dr. Ahmed Sameer
Predictive Ability of Factors in diagnosing COVID-19: Experiences from Qatar's Primary Care Settings
title Predictive Ability of Factors in diagnosing COVID-19: Experiences from Qatar's Primary Care Settings
title_full Predictive Ability of Factors in diagnosing COVID-19: Experiences from Qatar's Primary Care Settings
title_fullStr Predictive Ability of Factors in diagnosing COVID-19: Experiences from Qatar's Primary Care Settings
title_full_unstemmed Predictive Ability of Factors in diagnosing COVID-19: Experiences from Qatar's Primary Care Settings
title_short Predictive Ability of Factors in diagnosing COVID-19: Experiences from Qatar's Primary Care Settings
title_sort predictive ability of factors in diagnosing covid-19: experiences from qatar's primary care settings
topic Coronavirus (COVID-19) Collection
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979608/
https://www.ncbi.nlm.nih.gov/pubmed/35720156
http://dx.doi.org/10.1016/j.ijregi.2022.03.018
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