ABSTRACT
CONTEXT: The outbreak and spread of severe acute respiratory syndrome coronavirus 2 has led to a global exigency of colossal and monstrous proportions in terms of public health and economic crisis. Till date, no pharmaceutical agent is known to manage in terms of prevention and treatment of coronavirus disease 2019 (COVID-19), the disease caused by a novel virus. AIMS: The aim of the present work was to understand the underlying disease profile and dynamics that could provide relevant inputs and insight into pathophysiology and prevent further spread and evolve management strategies of COVID-19 patients from data-driven techniques. SETTINGS AND DESIGN: A retrospective observational descriptive study was conducted on 29 COVID-19 patients admitted at a premier medical institution of North India in the months of February and March 2020. METHODS: The patients were diagnosed with reverse transcription-polymerase chain reaction test. Demographic, clinical, and laboratory data were collected. RESULTS: The mean age of population was 38.8 years with male preponderance, of which two patients were residents of Italy, and others hailed from semi-arid and Western sandy arid regions of Rajasthan (urban population). The major presenting symptom complex of said COVID-19 sample population included fever (48%), cough (31%), and shortness of breath (17%). Most of the patients (83%) had no comorbidity. No clinical correlation (r) could be appreciated between the duration of test positivity and age of afflicted COVID-19 patients (r = -0.0976). CONCLUSIONS: The present evaluation of various facets of the ongoing global pandemic of COVID-19 is an attempt to portray early clinical and epidemiological parameters of the menace of COVID-19 patients admitted at SMS Medical College and Attached Hospitals, Jaipur.
ABSTRACT
Objectives: The present study is aimed at estimating patient flow dynamic parameters and requirement for hospital beds. Second, the effects of age and gender on parameters were evaluated. Patients and Methods: In this retrospective cohort study, 987 COVID-19 patients were enrolled from SMS Medical College, Jaipur (Rajasthan, India). The survival analysis was carried out from February 29 through May 19, 2020, for two hazards: Hazard 1 was hospital discharge, and Hazard 2 was hospital death. The starting point for survival analysis of the two hazards was considered to be hospital admission. The survival curves were estimated and additional effects of age and gender were evaluated using Cox proportional hazard regression analysis. Results: The Kaplan Meier estimates of lengths of hospital stay (median = 10 days, IQR = 5-15 days) and median survival rate (more than 60 days due to a large amount of censored data) were obtained. The Cox model for Hazard 1 showed no significant effect of age and gender on duration of hospital stay. Similarly, the Cox model 2 showed no significant difference of age and gender on survival rate. The case fatality rate of 8.1%, recovery rate of 78.8%, mortality rate of 0.10 per 100 person-days, and hospital admission rate of 0.35 per 100,000 person-days were estimated. Conclusion: The study estimates hospital bed requirements based on median length of hospital stay and hospital admission rate. Furthermore, the study concludes there are no effects of age and gender on average length of hospital stay and no effects of age and gender on survival time in above-60 age groups.
