Mean Brixia Severity Scores among Symptomatic COVID-19 Patients in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Introduction: COVID-19 is a highly contagious viral disease which escalated into a global pandemic since its outbreak on 31 December 2019. Chest X-rays are the most common investigation in suspected cases to diagnose and manage pneumonia. The aim of this study was to find out the mean Brixia severity scores among symptomatic COVID-19 patients in a tertiary care centre. Methods: A descriptive cross-sectional study was conducted among the chest X-rays of symptomatic COVID-19-positive patients of a tertiary care centre. Data from 1 May 2021 to 31 July 2021 were collected between 1 August 2022 and 1 January 2023 from the hospital records. Ethical approval was taken from Institutional Review Committee (Reference number: 01-079/080). Patients with reverse transcriptase polymerase chain reaction with symptoms of COVID-19 were included in this study. Convenience sampling method was used. Point estimate and 95% Confidence Interval were calculated. Results: Among the total of 300 patients, the mean Brixia severity score was 7.15±5.07 and out of 235 patients with abnormal chest X-ray, the mean Brixia severity score was 9.13±3.84. A total of 68 (22.66%) patients had mild, 115 (38.33%) had moderate and 52 (17.33%) had severe scores. Conclusions: The mean Brixia severity score among symptomatic COVID-19 patients was found to be higher than the other studies done in similar settings. Keywords: COVID-19; Nepal; pneumonia; prevalence; x-ray.

Sinusitis among Patients Undergoing CT Scan of Paranasal Sinuses in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Introduction: Computed tomography imaging provides detailed information about the paranasal sinuses and is now well established as an alternative to standard radiographs in evaluating patients with sinusitis. Sinusitis can have dangerous complications which can even lead to death if not diagnosed and treated on time. This study aimed to find the prevalence of sinusitis among the patients undergoing Computed Tomography scan of paranasal sinuses in a tertiary care centre. Methods: A descriptive cross-sectional study was conducted in the Department of Radiology at a tertiary care hospital from 1 October 2021 to 30 April 2022 after taking ethical approval from the Institutional Review Committee (Reference Number: 023-078/079). The patients undergoing Computed Tomography paranasal sinuses and meeting the eligibility criteria were enrolled for the study after taking informed consent. Convenience sampling was done. Point estimate and 95% Confidence Interval were calculated. Results: Among 113 patients, 109 (96.46%) (93.05-99.87, 95% Confidence Interval) patients had sinusitis. The most common subtype was found to be acute sinusitis in 63 (57.79%) individuals. Conclusions: The prevalence of sinusitis was higher than in other studies done in similar settings. Keywords: computed tomography; paranasal sinuses; sinusitis.

Drug-drug Interactions between Hypoglycemic and Non-hypoglycemic Medication in Diabetic Patients with Comorbidities in a Tertiary Care Center: A Descriptive Cross-sectional Study.

INTRODUCTION: Drug-drug interaction is one of the causes of adverse drug reactions. Generally, drug-drug interaction is common in multidrug therapy. Diabetic patients, particularly due to associated comorbidities tend to have various drug-drug interactions due to the effect of multiple drugs. The objective of this study was to find out the prevalence of drug-drug interactions in diabetic patients. METHODS: It was a descriptive cross-sectional study that was conducted among previously diagnosed diabetic patients visiting the outpatient department of medicine at a tertiary care hospital between March 2021 and August 2021. Ethical approval was taken from the institutional review committee (Ref no: 030-076/077). Data was collected from diabetic patients presenting to the outpatient department of medicine using a preformed self-constructed questionnaire. Convenient sampling was done. Statistical Package for Social Sciences version 21 and Microsoft Excel were used for data analysis. Point estimate at 95% confidence interval was calculated along with frequency and proportion for binary data. RESULTS: The prevalence of drug-drug interaction between hypoglycemic and non-hypoglycemic medication was 56 (44.1%) (35.5-52.7 at 95% Confidence Interval) of the patients out of which at least one drug-drug interaction was seen in 48 (37.8%) of the patients. CONCLUSIONS: Our study showed the prevalence of drug-drug interactions in diabetic patients to be higher than other studies done in similar settings. Based on the severity, we observed two types of drug-drug interactions; close monitoring drug-drug interactions and minor drug-drug interactions.