Open AccessPROFILE OF COVID -19 PATIENTS AT A DEDICATED COVID HEALTH CENTRE (DCHC) IN SUBURBS OF A METROPOLITAN CITY IN MUMBAI INDIA -A RETROSPECTIVE STUDY
Author(s) -
S. Jayashri,
Ajit Nair,
Andrade Neelam,
Ambre Sagar Ramesh,
P Sahoo Durgesh
Publication year - 2021
Publication title -
paripex indian journal of research
Language(s) - English
DOI - 10.36106/paripex/3700209
Subject(s) - covid-19 , medicine , context (archaeology) , epidemiology , metropolitan area , retrospective cohort study , pandemic , observational study , statistical analysis , health care , surgery , geography , disease , pathology , statistics , archaeology , mathematics , infectious disease (medical specialty) , economic growth , economics
Context: COVID-19 pandemic had over the past months grown to disastrous proportions and had stretched thehealthcare facilities across the globe to their limit.Jumbo centres not only helped in increasing the availability of bedsfor Covid patients, but also helped in de-cluttering the load on tertiary centres. Aim: Clinical and epidemiologicalprofile of patients who received treatment at the MCGM jumbo covid facility at Mumbai. Setting and design:The currentstudy is a retrospective, observational analysis of epidemiological features, clinical manifestations and laboratory andradiographic investigations of patients admitted at the DCHC between June 1st 2020 to August 31st 2020.Methods andMaterial: Patients from June 2020 to August 2020 at DCHC were enrolled in the study.All patients with positive RTPCR,were divided according to symptomatology and classified into Mild,Moderate,Severe. Statistical analysis used:Datawas entered in Excel spreadsheet and statistical analysis was done by using SPSS software version 19. Results: Out of3977 cases,1620 (40.7%) cases were mild cases,1269 (31.9%) moderate cases and 1088 (27.4%) severe cases.The ageamongst mild cases (50.78 ± 14.56 years) was higher as compared to moderate (48.23 ± 15.63 years) and severe cases(47.18 ± 15.53 years) and the difference between all the three groups was statistically significant. Conclusion: DCHCmanagement helped in formulating protocols and with advances in the infrastructure, led to better management withless transfer and helped in preparing for second wave