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Prognostic Factors Associated with Mortality in Covid 19 Disease: A Retrospective Single Centre Institutional Study
European Journal of Molecular and Clinical Medicine ; 9(3):4721-4728, 2022.
Article in English | EMBASE | ID: covidwho-1857377
ABSTRACT

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 (21). 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.
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Collection: Databases of international organizations Database: EMBASE Type of study: Observational study / Prognostic study Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EMBASE Type of study: Observational study / Prognostic study Language: English Journal: European Journal of Molecular and Clinical Medicine Year: 2022 Document Type: Article