A cross-sectional study from Qatar on the effect of influenza vaccination on the severity of COVID-19

被引:1
|
作者
Thomas, Merlin [1 ,2 ]
Ismail, Shanima [1 ,8 ]
Hameed, Mansoor [1 ,2 ]
Kazi, Sabeeha Sayed Tarique [1 ]
Chandra, Prem [3 ]
Raza, Tasleem [1 ,4 ]
Paul, Theresa [5 ]
Sattar, Hisham Abdul [1 ]
Suliman, Aasir M. [1 ]
Mohamed, Sara Saeed Ibrahim [6 ]
Ibrahim, Ezzedin A. Salam [4 ]
Subahi, Eihab Abd Alla Abd Elrahim [7 ]
机构
[1] Hamad Gen Hosp, Dept Pulm Med, Doha, Qatar
[2] Weil Cornell Univ, Dept Med, Doha, Qatar
[3] Hamad Med Corp, Acad Hlth Syst, Med Res Ctr, Doha, Qatar
[4] Hamad Gen Hosp, Dept Med Intens Care, Doha, Qatar
[5] Hamad Gen Hosp, Dept Geriatr Med, Doha, Qatar
[6] Hamad Gen Hosp, Dept Allergy & Immunol, Doha, Qatar
[7] Hamad Gen Hosp, Dept Internal Med, Doha, Qatar
[8] Hamad Gen Hosp, Dept Pulm Med, POB 3050, Doha, Qatar
关键词
COVID-19; flu vaccine; influenza VACCINE; SARS CoV-2; severity of COVID-19; MORTALITY;
D O I
10.1097/MD.0000000000035107
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
To assess and compare the severity of corona virus disease 2019 (COVID-19) infection in patients with and without a history of influenza vaccination. In this cross-sectional study descriptive statistics were used to analyze COVID-19-related parameters, including demographics, comorbidities, and severity. Normally distributed data with mean, standard deviation, and 95% confidence interval (CI) were reported, while non-normally distributed data was presented with median and inter-quartile range. Categorical data was summarized using frequencies and percentages. Associations were assessed using Pearson Chi-square, Fisher Exact, t test, or Mann-Whitney U test. Univariate and multivariate logistic regression methods were used to evaluate the relationship between disease severity, clinical outcomes, influenza vaccination status, and other predictors. Significance was considered for p values < 0.05. Statistical analyses were done using SPSS V.27.0 (IBM Corp) and Epi Info (CDC) software. Between March 2020 and December 2020 before the availability of COVID-19 vaccination, 148,215 severe acute respiratory syndrome corona virus 2 positive patients were studied, with 3519 vaccinated against influenza, and 144,696 unvaccinated. After random sampling at 1:2 ratio, the final analysis included 3234 vaccinated and 5640 unvaccinated patients. The majority (95.4%) had mild or asymptomatic COVID-19, while 4.6% had severe or critical cases as defined by World Health Organization severity grading. Multivariate logistic regression analysis revealed that the vaccinated group had significantly less severe (adjusted odds ratio [OR] 0.683; 95% CI 0.513-0.911, P = .009) and critical (adjusted OR 0.345; 95% CI 0.145-0.822, P = .016) COVID-19 and were less likely to require oxygen therapy (adjusted OR 0.696; 95% CI 0.531-0.912, P = .009) after adjusting for confounders like age, gender and comorbidities. No significant differences in Intensive care unit admissions (adjusted OR 0.686; 95% CI 0.425-1.11, P = .122), mechanical ventilation (adjusted OR 0.631; 95% CI 0.308-1.295, P = .209) and mortality (adjusted OR 1.105; 95% CI 0.348-3.503, P = .866) were noted between the 2 groups. Influenza vaccination may significantly reduce the severity of COVID-19 but has no significant effect on intensive care unit admissions, mechanical ventilation and all- cause mortality.
引用
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页数:7
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