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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

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    fmed-09-912752.pdf (946.3Kb)
    Date
    2022-06-30
    Author
    Al-Shudifat, Abdel Ellah
    Al-Radaideh, Ali
    Hammad, Shatha
    Hijjawi, Nawal
    Abu-Baker, Shaden
    Azab, Mohammed
    Tayyem, Reema
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    Abstract
    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.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85134187488&origin=inward
    DOI/handle
    http://dx.doi.org/10.3389/fmed.2022.912752
    http://hdl.handle.net/10576/33033
    Collections
    • COVID-19 Research [‎849‎ items ]
    • Human Nutrition [‎441‎ items ]

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