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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.
Al-Shudifat, Abdel-Ellah; Al-Radaideh, Ali; Hammad, Shatha; Hijjawi, Nawal; Abu-Baker, Shaden; Azab, Mohammed; Tayyem, Reema.
  • Al-Shudifat AE; Faculty of Medicine, The Hashemite University, Zarqa, Jordan.
  • Al-Radaideh A; Prince Hamza Hospital, Amman, Jordan.
  • Hammad S; Department of Medical Imaging, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan.
  • Hijjawi N; Department of Nutrition and Food Technology, Faculty of Agriculture, The University of Jordan, Amman, Jordan.
  • Abu-Baker S; Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan.
  • Azab M; Department of Pathology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
  • Tayyem R; Faculty of Medicine, The Hashemite University, Zarqa, Jordan.
Front Med (Lausanne) ; 9: 912752, 2022.
Article in English | MEDLINE | ID: covidwho-2043478
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Front Med (Lausanne) Year: 2022 Document Type: Article Affiliation country: Fmed.2022.912752

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: Front Med (Lausanne) Year: 2022 Document Type: Article Affiliation country: Fmed.2022.912752