Tazeen Nazar, Bilal Aziz, Bilquis Shabbir, Furqan Saeed, Kashif Nawaz, Muhammad Nabeel.
Predictors of Disease Severity in Adult Covid-19 patients Admitted in Mayo Hospital, Lahore, Pakistan..
J Coll Physicians Surg Pak Jan ;31(6):638-43.

To assess disease severity, based on clinical presentation and laboratory investigations.  Observational study. COVID-19 Isolation Unit of Mayo Hospital, Lahore from 15th March to 31st May, 2020. Four hundred and forty-five COVID-19 RT-PCR positive patients of either gender in age group of 18-80 years, admitted in isolation wards, high dependency units (HDUs) and intensive care units (ICUs) of the Hospital, were selected for the study via simple random sampling. Clinical presentations and laboratory investigations were recorded for all patients. Kruskal-Wallis test, Pearson Chi-square test, boxplots and ROC curve were used to analyse the data. A p-value ≤0.05 was considered statistically significant. Out of the 445 cases, a male predominance 286 (64.3%) was observed with majority of patients 324 (72.8%) having mild disease, 73 (16.4%) moderate, 25 (5.6%) severe and 23 (5.2%) having critical disease. D-dimer was considered to be the best discriminatory marker to assess disease severity with an overall accuracy of 92.1%. Fever, sore throat, shortness of breath, body aches, abdominal pain, anosmia and aguesia were the predominant symptoms in majority of patients belonging to different categories based on disease severity. Inflammatory markers like D-dimers and ferritin levels determined the overall disease severity with a high accuracy. Key Words: Disease severity, Clinical presentation, Laboratory investigations, RT-PCR.

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