Paraclinical Characteristics of Fatal and Recovered COVID-19 Cases: a Retrospective Study
Introduction: COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-Cov2). It is a potentially deadly disease with grave consequences for public and global health. This study compared laboratory indices in recovered and fatal COVID-19 cases. Methods: In this descriptiveanaly...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pasteur Institute of Iran
2022-06-01
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| Series: | Journal of Medical Microbiology and Infectious Diseases |
| Subjects: | |
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| Summary: | Introduction: COVID-19 is caused by severe acute respiratory syndrome
coronavirus 2 (SARS-Cov2). It is a potentially deadly disease with grave
consequences for public and global health. This study compared laboratory
indices in recovered and fatal COVID-19 cases. Methods: In this descriptiveanalytical
cross-sectional study, sampling was conducted using the total count
method, and the data was collected from the Borujerd Health Network's Disease
Management Center database. From February 20, 2020, to July 21, 2020, 380
patients with positive PCR tests were included. The extracted data was exported
into Stata-14 software. To analyze descriptive objectives, mean, percentage,
standard deviation, Chi-squared test, and t-test were used. Results: Out of 380
positive COVID-19 cases, 300 patients recovered, and 80 lost their life. More
than half of the recovered and fatal cases were men (55.16%). The highest
mortality rate belonged to 80 ≤ years (27.5%). Among fatal cases, 38.75% had
no underlying disease, and the most common underlying diseases were diabetes
(27.5%), chronic hypertension (18.75%), and malignancy (7.5%). Comparison
of laboratory indices revealed a significant difference in the mean LHD, Na, K,
BUN, BS, PT, AST, ALT, ALP, and ALP Hb between recovered and fatal cases
(P <0.05). Conclusion: This finding can help determine patients' prognoses and
adjust the treatment approach. Further studies on paraclinical characteristics will
shed further light on the pathogenesis of COVID-19 and appropriate treatment
measures. |
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| ISSN: | 2345-5349 2345-5330 |