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Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen

OBJECTIVE: This study aimed to detect possible associations between lung computed tomography (CT) findings in COVID-19 and patients' age, body weight, vital signs, and medical regimen in Jordan. METHODS: The present cross-sectional study enrolled 230 patients who tested positive for COVID-19 in...

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Autores principales: Al-Shudifat, Abdel-Ellah, Al-Radaideh, Ali, Hammad, Shatha, Hijjawi, Nawal, Abu-Baker, Shaden, Azab, Mohammed, Tayyem, Reema
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279911/
https://www.ncbi.nlm.nih.gov/pubmed/35847782
http://dx.doi.org/10.3389/fmed.2022.912752
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author Al-Shudifat, Abdel-Ellah
Al-Radaideh, Ali
Hammad, Shatha
Hijjawi, Nawal
Abu-Baker, Shaden
Azab, Mohammed
Tayyem, Reema
author_facet Al-Shudifat, Abdel-Ellah
Al-Radaideh, Ali
Hammad, Shatha
Hijjawi, Nawal
Abu-Baker, Shaden
Azab, Mohammed
Tayyem, Reema
author_sort Al-Shudifat, Abdel-Ellah
collection PubMed
description OBJECTIVE: This study aimed to detect possible associations between lung computed tomography (CT) findings in COVID-19 and patients' age, body weight, vital signs, and medical regimen in Jordan. METHODS: The present cross-sectional study enrolled 230 patients who tested positive for COVID-19 in Prince Hamza Hospital in Jordan. Demographic data, as well as major lung CT scan findings, were obtained from the hospital records of the COVID-19 patients. RESULTS: The main observed major lung changes among the enrolled COVID-19 patients included ground-glass opacification in 47 (20.4%) patients and consolidation in 22 (9.6%) patients. A higher percentage of patients with major lung changes (24%) was observed among patients above 60 years old, while (50%) of patients with no changes in their lung findings were in the age group of 18–29 years old. Results obtained from the present study showed that only patients with major CT lung changes (9.7%) were prescribed more than three antibiotics. Additionally, 41.6 % of patients with major lung CT scan changes had either dry (31.0%) or productive (10.6%) cough at admission. CONCLUSION: Several factors have been identified by this study for their ability to predict lung changes. Early assessment of these predictors could help provide a prompt intervention that may enhance health outcomes and reduce the risk for further lung changes.
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spelling pubmed-92799112022-07-15 Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen Al-Shudifat, Abdel-Ellah Al-Radaideh, Ali Hammad, Shatha Hijjawi, Nawal Abu-Baker, Shaden Azab, Mohammed Tayyem, Reema Front Med (Lausanne) Medicine OBJECTIVE: This study aimed to detect possible associations between lung computed tomography (CT) findings in COVID-19 and patients' age, body weight, vital signs, and medical regimen in Jordan. METHODS: The present cross-sectional study enrolled 230 patients who tested positive for COVID-19 in Prince Hamza Hospital in Jordan. Demographic data, as well as major lung CT scan findings, were obtained from the hospital records of the COVID-19 patients. RESULTS: The main observed major lung changes among the enrolled COVID-19 patients included ground-glass opacification in 47 (20.4%) patients and consolidation in 22 (9.6%) patients. A higher percentage of patients with major lung changes (24%) was observed among patients above 60 years old, while (50%) of patients with no changes in their lung findings were in the age group of 18–29 years old. Results obtained from the present study showed that only patients with major CT lung changes (9.7%) were prescribed more than three antibiotics. Additionally, 41.6 % of patients with major lung CT scan changes had either dry (31.0%) or productive (10.6%) cough at admission. CONCLUSION: Several factors have been identified by this study for their ability to predict lung changes. Early assessment of these predictors could help provide a prompt intervention that may enhance health outcomes and reduce the risk for further lung changes. Frontiers Media S.A. 2022-06-30 /pmc/articles/PMC9279911/ /pubmed/35847782 http://dx.doi.org/10.3389/fmed.2022.912752 Text en Copyright © 2022 Al-Shudifat, Al-Radaideh, Hammad, Hijjawi, Abu-Baker, Azab and Tayyem. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Al-Shudifat, Abdel-Ellah
Al-Radaideh, Ali
Hammad, Shatha
Hijjawi, Nawal
Abu-Baker, Shaden
Azab, Mohammed
Tayyem, Reema
Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen
title Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen
title_full Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen
title_fullStr Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen
title_full_unstemmed Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen
title_short Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen
title_sort association of lung ct findings in coronavirus disease 2019 (covid-19) with patients' age, body weight, vital signs, and medical regimen
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9279911/
https://www.ncbi.nlm.nih.gov/pubmed/35847782
http://dx.doi.org/10.3389/fmed.2022.912752
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