Clinical, Laboratory and Radiological Predictors of Outcome of Hospitalized COVID-19 Patients | ||||
| Zagazig University Medical Journal | ||||
| Article 28, Volume 31, Issue 5, May 2025, Page 2036-2045 PDF (962.31 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/zumj.2025.349632.3773 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Adel Attia Ahmed1; Ashraf Elsayed sileem ibrahim 1; Ahmed Hesham Hassan El-Kordi  2; Tarek Hamdy Hassan3
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| 1Professor of Chest Diseases, Faculty of Medicine, Zagazig University | ||||
| 2M.B.B.CH, Resident of Chest Diseases, Zagazig Chest Hospital | ||||
| 3Assistant Professor of Chest Diseases, Faculty of Medicine, Zagazig University | ||||
| Abstract | ||||
| Background: Clinical symptoms, laboratory markers like C reactive protein (CRP) and D-dimer, and radiological findings such as chest computed topography (CT) severity scores could be key predictors of outcomes among hospitalized COVID-19 patients. We aimed to analyze patient comorbidities, symptoms, laboratory findings, and CT chest image findings to compare them with the outcome and predict COVID-19 patient outcomes. Methods: This prospective cohort study was carried out on 114 COVID-19 patients who admitted to Zagazig university hospitals and Zagazig chest hospital, patient’s comorbidities, signs, symptoms, laboratory finding and CT chest imaging were assessed among all patients to be correlated with outcome. Result: It was shown that: Interleukin 6 (IL-6) was able to predict mortality at a cutoff level of > 91.7, with 67.7% sensitivity, 60% specificity (p-value = 0.013). Also CRP, erythrocyte sedimentation rate (ESR), D-Dimer, total leucocyte count (TLC), procalcitonin (PCT) could be used to predict mortality at a cutoff level of > 64, > 77, of > 1.4, > 10.6 with sensitivity of 92.7%, 68.3%, 97.6%, 61%, 43.9% and specificity of 94.5%, 78.1%, 100 %, 58.9 %, 68.5 % with p-value < 0.001 for each). The significant independent predictors of mortality were D-Dimer, CRP, ESR, PH and severity of COVID-19 (p=0.027, < 0.001, < 0.001, 0.041, and 0.012 respectively). Conclusion: Early detection of clinical, laboratory, and radiological data can predict COVID-19 patient outcomes, reduce severity, and decrease mortality rates, with potential of hydrogen, inflammatory markers, and CT chest imaging playing crucial roles. | ||||
| Keywords | ||||
| Coronavirus; Clinical Laboratory; Inflammatory markers | ||||
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