European Journal of Molecular & Clinical Medicine

Abstract

Background Covid-19 are an enormous group of infections that are known to cause ailment going from the normal virus to more extreme illnesses like Middle East Respiratory Syndrome (MERS) and severe acute respiratory syndrome (SARS). In mid-2020, after a December 2019 episode in China, the World Health Organization distinguished SARS-CoV-2 as another sort of Covid.
Aim: Study compare demographics, clinical characteristics, comorbidities, baseline lab parameters between survivors and non survivors of Covid 19 who received mechanical ventilation in a tertiary care center.
Method : A comparative cross-sectional study conducted on patients admitted in Covid ICU at the Vedantaa Institute of Medical Sciences, Palghar from  June 2020 to March 202. Patients with age more than 18 years with covid positive status requiring either invasive or non invasive mechanical ventilation included in the study.
Results : Out of 150 patients, 119(79.3)  were male and 31(20.7) were female, with a mean age of 54.005 years (SD ±15.33). The patients were elderly (n = 31) and adults (n = 119). There were 19 (12.66) patients who not survived  and 131(87.64) patients were there who survived from the disease. Median  oxygen saturation of the patients who not survived was  88(84-97) and those who survived was 91 (78-96) but it was not statistically significant. Among the patients not survived found with comorbidity condition like Hypertension (91.17%) followed by Diabetes Mellitus, CKD, CAD. Metabolic parameters showed significantly higher in non-survival group compared to survival group. Increased in Neutrophile was observed in both the group but it was increased more in non-survival group compared survival
Conclusion : From these all overall information and data analysis of Demographic variable, Laboratorial parameters, comorbidity condition it was observed that these parameter were very  helpful in management of severely ill patient, also in priority treatment for patients to decrease morbidity and mortality in population.