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.