The Syndromic Spectrum of COVID-19 and Correlates of Admission Parameters with Severity-outcome Gradients: A Retrospective Study.

Background: Clinical and laboratory features of COVID-19 may have regional variations. This study aimed to discern their association with severity of illness and mortality in tertiary setup of Delhi, India.
Methods: Retrospective data of hospitalised COVID-19 patients over 3 months (end March to June 2020) were evaluated for symptom profile, blood investigations and chest radiograph data and classified according to COVID-19 severity and as survivors and non-survivors.
Results: Average age (n=182) was 46.1 years, male to female ratio 1.4:1. Fever (51.1%), cough (49.4%) and breathlessness (48.3%) were the commonest symptoms, and frequency of all the three increased with severity of COVID-19. Fever duration, leucocytosis, neutrophilia, elevated blood urea, transaminitis and higher Brixia score on chest X-ray were also more in severe COVID-19 compared to mild and moderate categories. Higher age, more comorbidities, fever, breathlessness and chest pain; longer duration of fever, leucocytosis, neutrophilia, lymphopenia, high neutrophil to lymphocyte ratio, elevated serum urea, creatinine, transaminases and hyperglycemia, and higher radiographic Brixia score were observed in non-survivors compared to survivors.
Conclusion: Greater prevalence of symptoms (alone and in combination) and derangements in blood biochemistry are seen in severe COVID-19 compared to mild or moderate cases, and also in non-survivors compared to survivors.
(© Journal of the Association of Physicians of India 2011.)