No abstract

: Cases of COVID 19 is a challenge for clinicians to evaluate the effect of SARS CoV2 on patients has preexisting medical illness. To assess the potential effect and incidence of COVID 19 with comorbidity. 680 COVID-19 positive cases were included. This research was limited to the admitted patients from October 2020 to February 2021. Applicable data were collected from patient’s files, reviewed and included based on the applicability to the topic. As of October, 2020, our institute had 954 suspected cases of COVID-19 infection. Out of these 680 patients were positive and rests were negative. We obtained data from the hospital records which provided information regarding the age, gender, chief complaints, co-morbidity and its type, positive /negative status and outcomes (Recovered/death). We divided the patients into three groups; (1) had no co-morbidity; (2) had one co-morbidity (3) had two or more co-morbidity and compared their outcomes (Recovery/Death/admitted). We also compared the outcomes of patients those had more than two co-morbidities. clinical data and co-morbidities were examined with SPSS Statistics, Version 23. Most patients were male (76.21%) with commonest complain of difficulty in breathing (46.03%). Among total cases, no co-morbidity was noted in 402 (59.11%) patients, one co-morbidity in 205(30.15%) and more than one co-morbidity in 73 (10.74%) patients. Higher death rate was noted in positive patients with two or more co-morbidities (35.62%). Diabetes and hypertension were the common observed illness with higher death rate in COPD and HTN with CAD (75.00%) patients. Result of this study suggests a strong clinical relationship between COVID-19 and co-morbidities. Patients with pre-existing medical sickness with COVID 19 is a challenge to the physicians as it yielded poorer clinical outcomes. So, the physicians need to be prepared to reorganize their consultative practices during this pandemic period.

Background: Till date, SARS CoV2 (COVID-19) is a pandemic viral infection in the world with the main and strong impact on respiratory airway, but this virus can affect any system of the human body. Aims: This research is aimed to dictating the effect of SARS CoV2 infections on hematological, biochemical, and arterial blood gas parameters by using their mean values. Settings and Design: This retrospective study was included a total no. of 97 SARS CoV2 positive patients from 27 March to 15 May 2020. All positive patients were consented and took all the significant details. Materials and Methods: We review the total 97 COVID-19 positive patients after obtaining all the hematological and other relevant clinical data from laboratory and medical records. The subjects were tabulated into three categories named; admitted (Gp A), discharged (Gp B), and expired (Gp C) patients and compared their hematological, biochemical parameters, and arterial blood gas analysis by using blood or serum and processed by proper methods. Statistical Analysis: The data was cleaned, edited, checked for completeness, and processed then entered in SPSS version 20 statistical software. Results: Blood samples were collected of all positive patients. Most of the patients had X-ray changes. Blood parameters showed that patients who were expired (Gp-C) suffered from anemia, lymphopenia, leucoytosis, neutrophilia, and thrombocytopenia with high ALT, pCO2 and low pO2 than admitted and expelled patients. Conclusions: Result from this study provides that WBC count, absolute lymphocyte count, neutrophil count, and pO2 were independently associated and an important forecaster of mortality from SARS CoV2. All healthcare provides to regularly monitor above parameters indicators of COVID-19 infected patients to improve their quality of life and to reduce the risk of mortality rate.