Purpose: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel virus causing an infectious disease, coronavirus disease 2019 (COVID-19). Computed tomography (CT) of the chest plays a significant role in the diagnosis and prognosis of COVID-19 using computed tomography severity scoring (CT-SS). Numerous vaccines are being made available in the world to lessen the effect of the COVID-19 pandemic. The purpose of the current study is to compare the severity of COVID-19 pneumonia using CT-SS in COVID-19-positive vaccinated (Covishield/Oxford-AstraZeneca) and non-vaccinated individuals and to compare the final outcome wherever possible.

Material And Methods: This observational study was carried out from March 2021 to April 2021. Forty vaccinated and 40 non-vaccinated RT-PCR-positive COVID-19 patients who underwent CT chest during the 4-12 day of illness formed the material of the study. Semi-quantitative scoring was used, and CT-SS was calculated based on the extent of lobar involvement in all the patients. CT-SS was then compared between the vaccinated and non-vaccinated groups and the results analysed.

Results: CT scans were performed in 80 patients (40 patients each in the vaccinated and non-vaccinated groups). The majority of patients in the vaccinated group had mild (42.5%) and moderate (37.5%) CT-SS while the majority of patients in the non-vaccinated group had moderate (52.5%) and severe (27.5%) CT-SS score on chest CT. Also, no mortality was observed in the vaccinated group, with 2 deaths in the non-vaccinated group.

Conclusions: Covishield vaccine administration reduces the severity of COVID-19 pneumonia as compared to the nonvaccinated group, with a marked reduction in mortality.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9215301PMC
http://dx.doi.org/10.5114/pjr.2022.116192DOI Listing

Publication Analysis

Top Keywords

vaccinated non-vaccinated
16
severity covid-19
12
covid-19 pneumonia
12
computed tomography
12
tomography chest
8
non-vaccinated individuals
8
observational study
8
covid-19 computed
8
scoring ct-ss
8
non-vaccinated groups
8

Similar Publications

Introduction: The success of flu vaccination depends primarily on the willingness of health care workers (HCWs) to be vaccinated. To identify barriers and drivers to vaccination, an online survey among employees and students of a university hospital was performed to develop a local strategy to increase the vaccination willingness in line with the WHO recommendation.

Method: A cross-sectional, anonymous, self-administered online survey was performed among HCWs, other staff, trainees and students of the Greifswald University Hospital between 17.

View Article and Find Full Text PDF

Background: R21 is a novel malaria vaccine, composed of a fusion protein of the malaria circumsporozoite protein and hepatitis B surface antigen. Following favourable safety and immunogenicity in a phase 1 study, we aimed to assess the efficacy of R21 administered with Matrix-M (R21/MM) against clinical malaria in adults from the UK who were malaria naive in a controlled human malaria infection study.

Methods: In this open-label, partially blinded, phase 1-2A controlled human malaria infection study undertaken in Oxford, Southampton, and London, UK, we tested five novel vaccination regimens of R21/MM.

View Article and Find Full Text PDF

Equine herpesvirus 1 (EHV-1) infection is the cause of high impact disease syndromes, affecting the global horse industry. The effect of vaccination on transmission dynamics of EHV-1 in naturally occurring outbreaks is not quantified. Our aims were to estimate R for EHV-1 in equine populations from outbreak data, and evaluate the effect of vaccination status of the herd on R through a systematic review, model-based estimations and meta-analysis.

View Article and Find Full Text PDF

Background: The rapid evolution of the COVID-19 pandemic and subsequent global immunization efforts have rendered early metabolomics studies potentially outdated, as they primarily involved non-exposed, non-vaccinated populations. This paper presents a predictive model developed from up-to-date metabolomics data integrated with clinical data to estimate early mortality risk in critically ill COVID-19 patients. Our study addresses the critical gap in current research by utilizing current patient samples, providing fresh insights into the pathophysiology of the disease in a partially immunized global population.

View Article and Find Full Text PDF

Background: Pneumococcal disease, caused by Streptococcus pneumoniae, imposes a significant global health burden, particularly affecting vulnerable groups such as the elderly and immunocompromised. The 23-valent pneumococcal polysaccharide vaccine (PPV23) is designed to protect against 23 serotypes of Streptococcus pneumoniae. However, there is ongoing debate about its effectiveness in reducing all-cause mortality.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!