"Sinopharm", "Oxford-AstraZeneca", and "Pfizer-BioNTech" COVID-19 vaccinations: testing efficacy using lung CT-volumetry with comparative analysis of variance (ANOVA)

Author:

Samir AhmedORCID,Altarawy Dina,Sweed Rania Ahmed,Abdel-Kerim Amr A.

Abstract

Abstract Background Several clinical studies tested the efficacy of the different COVID-19 vaccinations while very few radiological researches targeted this issue before. Aim of the work To verify the additive role of lung CT-Volumetry in testing the efficacy of three widely distributed COVID-19 vaccinations; namely the "Sinopharm", "Oxford-AstraZeneca", and "Pfizer-BioNTech" vaccinations, with comparative analysis of variance (ANOVA). Results This study was retrospectively conducted on 341 COVID-19 patients during the period between June/2021 and March/2022. Based on the immunization status, they were divided into four groups; group (A) included 156/341 (46%) patients who did not receive any vaccination (control group), group (B) included 92/341 (27%) patients who received "Sinopharm" vaccine, group (C) included 55/341 (16%) patients who received "Oxford-AstraZeneca" vaccine, group (D) included 38/341 (11%) patients who received "Pfizer-BioNTech" vaccine. Every group was subdivided based on the medical history into three groups; group (1) patients without comorbidities, group (2) patients with comorbidities, and group (3) immunocompromised patients. Automated CT volumetry was calculated for the pathological lung parenchyma. Five CT-severity scores were provided (score 0 = 0%, score 1 = 1–25%, score 2 = 25–50%, score 3 = 51–75%, and score 4 = 76–100%). Analysis of variance (ANOVA) including Tukey HSD testing was utilized in comparison to the non-immunized patients. The "Phizer-Biontech" vaccine succeeded to eliminate severity in patients without and with comorbidity, and also decreased severity in immunocompromised patients (from 79 to 17%). The "Oxford-AstraZeneca" vaccine and to a lesser extent "Sinopharm" vaccine also decreased the clinical severity in patients with comorbidities and immunocompromised patients (from 15 to 9% & 10% as well as from 79 to 20% & 50% respectively). Significant variance was proved regarding the use of "Sinopharm", "Oxford-AstraZeneca", and "Phizer-Biontech" vaccines in patients without comorbidities (f-ratio averaged 4.0282, 10.8049, and 8.4404 respectively, also p-value averaged 0.04632, 0.001268, and 0.004294). Significant variance was proved regarding the use of "Oxford-AstraZeneca", and "Phizer-Biontech" vaccines in patients with comorbidities and immunocompromised patients (f-ratio averaged 4.7521, and 4.1682 as well as 11.7811, and 15.6 respectively, also p-value averaged 0.03492, and 0.04857, as well as both 0.003177, and 0.0009394 respectively, all < 0.05). No significant variance was proved regarding the use of the "Sinopharm" vaccine. Conclusions In addition to the decline of clinical severity rates & CT severity scores, a significant variance was proved regarding the use of the "Sinopharm", "Oxford-AstraZeneca", and "Phizer-Biontech" vaccines in patients without comorbidities. Significant variance was also proved regarding the use of the "Oxford-AstraZeneca" and "Phizer-Biontech" vaccines in patients with comorbidities and immunocompromised patients. Despite that, no significant variance could be proved regarding the use of the "Sinopharm" vaccine in these patients, it decreases the percentage of clinical severity and CT severity scores.

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Reference22 articles.

1. Sonali DM, Dharita SS, Krati SM et al (2021) Comparative study of CT severity index and outcome in hospitalized vaccinated and non-vaccinated patients of Covid 19 pneumonia. J Radiol Clin Imaging 4(3):93–101

2. Madhu P, Santhosh D, Kiran M (2021) Comparison study of lung involvement in vaccinated and unvaccinated covid patients. Int J Health Clin Res 4(10):229–233

3. Kanne JP, Bai H, Bernheim A et al (2021) COVID-19 imaging: what we know now and what remains unknown. Radiology 299(3):262–279

4. Hodgson SH, Mansatta K, Mallett G, Harris V, Emary KR, Pollard AJ (2021) What defines an efficacious COVID-19 vaccine? A review of the challenges assessing the clinical efficacy of vaccines against SARS-CoV-2. Lancet Infect Dis 21(2):26–35

5. Brogna B, Bignardi E, Brogna C et al (2021) Covid-19 pneumonia in vaccinated population: a six clinical and radiological case series. Medicina (Lithuania) 57(9):891

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3