Predictors of Mortality in COVID-19-Positive Patients On and Off CPAP: A Review From a Tertiary Care Setting in the NHS.

Introduction Since the first description of a coronavirus-related pneumonia outbreak in December 2019, the virus SARS-CoV-2 that causes the infection/disease coronavirus disease 2019 (COVID-19) has evolved into a pandemic, and as of today, millions have been affected. Objectives Our aim was to identify the predictors of mortality in COVID-19-positive patients on or off continuous positive airway pressure (CPAP). Methodology This was an observational study. Data were collected from February 2020 to April 2020 with patients admitted to the COVID-19 ward at The James Cook University Hospital, Middlesbrough, England. The inclusion criteria were COVID-19-positive patients confirmed through PCR tests on or off CPAP. Patients who had negative RT-PCR for COVID-19 and those who were intubated were excluded. Results A total of 56 patients diagnosed with COVID-19 (through RT-PCR) were included in the final analysis, among which 27 were on CPAP, while 29 did not require CPAP (NCPAP). The overall mean age of the patients was 66 ± 14 (range: 26-94) years. The mean age of CPAP and NCPAP patients was 63 ± 15 (range: 26-85) years and 68 ± 13 (range: 40-94) years, respectively. The ethnicity of 54 (96.4%) patients was White-Caucasian, while 2 (3.6%) were British-Asian. In the study sample, 16 (28.6%) patients expired, of which 11 (40.7%) were on CPAP, while 5 (16.7%) did not require CPAP during the disease course. Correlation analysis showed that overall higher age, Medical Research Council Dyspnoea (MRCD) score, performance status (PS), and consolidation affecting more than one quadrant of the lungs were significantly correlated with increased mortality. Among patients receiving CPAP, higher age, MRCD score, and PS were significant predictors of mortality. Among the NCPAP group, advancing age, respiratory rate, MRCD score, PS, increased creatinine levels, and consolidation affecting more than one quadrant of the lungs were the predictors of mortality. Conclusion Even with a small sample size, we can see that there are definitive predictors that are directly proportional to increased mortality in COVID-19 patients on CPAP, such as higher age, performance status, MRCD score, and increased lung involvement of consolidation in more than one quadrant, which can help us rationalize management

Experimental and Computational Analysis of Newly Synthesized Benzotriazinone Sulfonamides as Alpha-Glucosidase Inhibitors

Diabetes mellitus is a chronic metabolic disorder in which the pancreas secretes insulin but the body cells do not recognize it. As a result, carbohydrate metabolism causes hyperglycemia, which may be fatal for various organs. This disease is increasing day by day and it is prevalent among people of all ages, including young adults and children. Acarbose and miglitol are famous alpha-glucosidase inhibitors but they complicate patients with the problems of flatulence, pain, bloating, diarrhea, and loss of appetite. To overcome these challenges, it is crucial to discover new anti-diabetic drugs with minimal side effects. For this purpose, benzotriazinone sulfonamides were synthesized and their structures were characterized by FT-IR, 1H-NMR and 13C-NMR spectroscopy. In vitro alpha-glucosidase inhibition studies of all synthesized hybrids were conducted using the spectrophotometric method. The synthesized compounds revealed moderate-to-good inhibition activity; in particular, nitro derivatives 12e and 12f were found to be the most effective inhibitors against this enzyme, with IC50 values of 32.37 ± 0.15 µM and 37.75 ± 0.11 µM. In silico studies, including molecular docking as well as DFT analysis, also strengthened the experimental findings. Both leading compounds 12e and 12f showed strong hydrogen bonding interactions within the enzyme cavity. DFT studies also reinforced the strong binding interactions of these derivatives with biological molecules due to their lowest chemical hardness values and lowest orbital energy gap values