ABSTRACT
Introduction: Diabetes Mellitus is a chief reason for morbidity and mortality globally. It is also a major comorbidity contributory factor in COVID-19. Patients with diabetes have an increased susceptibility to viral and bacterial infections, including those affecting the respiratory tract. Numerous scoring systems have been developed to evaluate and stratify the risk of Communityacquired Pneumonia (CAP). CURB 65 scorings are one of the time tested and relatively easy methods. However, comparative CURB 65 SCORE data analysing its correlation between diabetes mellitus (DM) & non - diabetic mellitus (NDM) in hospitalized covid 19 patients is lacking. Therefore, this study aimed to evaluate and perform a comparative analysis of CURB 65 scores between diabetic & non- diabetic hospitalized COVID 19 confirmed patients. Methods: This cross-sectional single-centre research evaluated hundred and forty COVID 19 positive patients with and without diabetes from April to June 2021. Following the evaluation of the glycemic status of the patient, CURB 65 scores were calculated. Cohorts were grouped as mild, moderate and severe illnesses, based on the CURB 65 score. Duration of hospitalisation, the requirement of the ventilator, ICU admission and mortality were recorded. Patients were monitored until they were discharged or deceasement. Results: Of the sixty-nine patients who were diabetic, 65.2 % had a mild illness, 30.4% had moderate and 4.3 % had severe illness. Of the rest 71 patients who were non-diabetic 97.2 % had mild, 2.8% had moderate and none had severe illness. There is a significant association between patients with and without diabetes when compared with their CURB 65 score with a p-value <0.0001 and a chi-square value of 24. Seventeen DM patients were hospitalised in ICU and 13 required ventilation, whilst only 4 NDM patients were in ICU and 3 required ventilator support. The mean value of the duration of hospital stay for the DM group was 9.25 days with an SD of ± 5.0. In comparison mean value for NDM cohorts was 7.01 days with an SD of ± 4.30. The difference was statistically significant with a p-value of 0.005. No mortality was noted in NDM patients. In contrast, 17 DM patients succumbed. The difference in mortality was statistically significant with a p-value of <0.0001. Conclusion: CURB 65 was found to be of increased value for diabetic patients. The severity of illness is more in the diabetes population than in the non-diabetic population. © 2022 The authors.
ABSTRACT
COVID-19 is real a worldwide terrific problem. This paper focuses on the different aspects of data analytics and visualization by using various datasets supported by authorized sources. It also discusses the practical aspects using open source tools and python library support. Here chapter focuses on comparative analysis also. It also visualize analytical aspects by different aspects such as country wise, date wise and so on. In this paper, the COVID infected cases and its reaction on people will be discussed. This case study will predict the COVID-19 infected cases and death ratio with symptoms in future. This paper focus on data visualization, data analytics and comparative study based on practical aspects. Machine Learning plays a vital role to predict the cases by providing learning instances. © 2021 Institute of Physics Publishing. All rights reserved.
ABSTRACT
Background: Tuberculosis (TB) is long standing disease and SARS-COV-2 being global pandemic in current era. Interactions between SARS-COV-2 and TB needs analysis, as both has major infection-related morbidity and mortality worldwide. This study was conducted to evaluate impact of super imposing viral pandemic over chronic diseases like tuberculosis. Methodology: A Retrospective study done in 75 patients registered under RNTCP program at our centre. Epidemiological data, diagnostic timing of TB, duration of AKT, history of SARS-COV-2 symptoms and SARS-COV-2 diagnostic result were evaluated. Analysis conducted based on incidence of COVID-19 infection in active cases of TB.