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Analysis of Clinical and Paraclinical Findings in Deceased COVID-19 Patients: A Study in Northeastern Iran
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Zobide Rafat   , Forough Karimi Zeinadanlu , Mohaddeseh Hosseinzadeh , Fatemeh Rabani , Azam Saedikia |
| , nurse.saedikia@yahoo.com |
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Abstract: (28 Views) |
Introduction: COVID-19, with its rapid spread and diverse clinical and paraclinical symptoms, has become a serious problem for health systems around the world. Identifying clinical, demographic, and laboratory characteristics of deceased patients can be effective in identifying risk factors and planning care. This study aimed to analyze the clinical and paraclinical findings of deceased patients with COVID-19 in Shirvan city in 2020.
Methods: The present study is Descriptive correlation, which was conducted by examining 170 files of deceased patients at Khatam al-Anbiya Hospital in Shirvan in the first half of 2020. The required information was extracted from the patients' medical files using a researcher-made checklist and analyzed with SPSS version 22 software and descriptive statistics methods (frequency tables and appropriate graphs) and inferential statistics including independent t-test, analysis of variance (ANOVA), chi-square test, and Pearson correlation test.
Findings: The mean age of the participants was 68.16±15.66 years, of which 54.7% were men. No statistically significant association was found between baseline clinical manifestations at admission and demographic variables (p>0.05 ).
In contrast, a statistically significant association was observed between age and certain baseline clinical manifestations at admission, as well as between age and some underlying diseases, and also between selected clinical manifestations and specific underlying diseases(p≤0.05 ). Dyspnea and fatigue were also more prevalent among patients with underlying diseases.
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| Keywords: COVID-19, Mortality, Laboratory Findings, Risk Factors, Intensive Care Nursing |
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Full-Text [PDF 469 kb]
(22 Downloads)
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Type of Study: Quantitative-Research |
Subject:
General
Received: 2025/07/12 | Accepted: 2026/05/14 | Published: 2025/10/8
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