Online ISSN: 2515-8260

Keywords : Global pandemic


Prognostic Factors Associated with Mortality in Covid 19 Disease: A Retrospective Single Centre Institutional Study

Atul Kumar, Devendra Nargawe, Sanjay Kumar Dubey, Shivani Sinha, Neelam R. Charles

European Journal of Molecular & Clinical Medicine, 2022, Volume 9, Issue 3, Pages 4721-4728

Background:To evaluate the association of the demographic, clinical sign and symptoms
and laboratory biomarkers in predicting the mortality in COVID-19 infected patients.
Materials and Methods: This was a single centre retrospective observational study
carried out in atertiary care centre of a tribal region of central India, which was a
referral centre for COVID-19.Parameters taken into account were physiological
parameters,symptoms at admission,radiographic findings and laboratory findings.
Results: Out of 103 deaths included in this study 76 were male and 37 females (2:1).
Mean age of the deceased were 54.90 years (18-90 years). The most common symptom
on admission was breathlessness in 92 patients (89.32%). Abdominal symptoms like
diarrhoea and vomiting were associated in 7.7 % of the deceased patients only.Most of
the patients who died were older patients having age 60 years and above (65.04 %).
Most of the patients who died had Spo2 less than 90 % on admission (85.43
%).Lymphopenia (92.23 %) was the most commonly observed finding on blood
investigations done in deceased patients followed by increased CRP level (78.64 %).
Comorbidities were present in 77 patients out of 103 patients (74.75%) included in this
study. Diabetes and hypertension were being the most common comorbidities associated
in these patients.Death was not commonly observed in patients with COVID 19
associated with respiratory diseases.
Conclusion: Identified prognostic factors can help clinicians and policy makers in
tailoring management strategies for patients with COVID-19 infectious disease while
researchers can utilize our findings to develop multivariable prognostic models that
could eventually facilitate decision-making and improve patient important outcomes.