巴西 SARS-CoV-2 感染严重程度的预测因素:随机对照试验的事后分析。

Kerry Conlin, Daniel Jenkin, Philip de Whalley, Lily Yin Weckx, Pedro M Folegatti, Sagida Bibi, Teresa Lambe, Parvinder K Aley, Andrew J Pollard, Merryn Voysey, Sue Ann Costa Clemens
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引用次数: 0

摘要

目的:确定与 COVID-19 不良后果相关的人口统计学、临床和免疫学因素:确定与 COVID-19 不良结局相关的人口、临床和免疫学因素:在巴西开展了一项关于 ChAdOx1 nCoV-19 的大型随机对照试验。参与者按 1:1 的比例被随机分配到接受 ChAdOx1 nCov-19 或对照组。COVID-19感染通过核酸扩增试验(NAAT)确认,并采用世界卫生组织临床进展量表进行分类。部分参与者在第二次接种后 28 天测量了抗尖峰抗体反应和血清中和活性。利用调整了人口统计学和临床因素的逻辑回归模型,对与 COVID-19 感染严重程度和住院治疗相关的因素进行了探索性分析:结果:10416 名参与者参与了研究,其中 1790 人感染了 NAAT 阳性的 COVID-19,63 人需要住院治疗。更严重的感染与更高的体重指数(BMI)(比值比 [OR] = 1.06 [95 %CI: 1.01-1.10],p = 0.01)和糖尿病(OR = 3.67 [1.59-8.07],p = 0.003)有关。年龄越大,住院风险越高(OR = 1.06 [1.03-1.08],p 最后一次接种疫苗后 180 天。在完全接种疫苗的亚组(n = 841)中,只有年龄越大,住院风险越高(OR = 1.07 [1.03-1.12],p 结论:在完全接种疫苗的亚组(n = 841)中,只有年龄越大,住院风险越高:未接种疫苗的高体重指数和糖尿病患者面临更严重的 COVID-19 后果风险。临床试验注册号:NCT04536051:临床试验注册号:NCT04536051。
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Predictors of severity of SARS-CoV-2 infections in Brazil: Post hoc analyses of a randomised controlled trial.

Objectives: To identify demographic, clinical and immunological factors associated with adverse COVID-19 outcomes.

Methods: A large randomised controlled trial of ChAdOx1 nCoV-19 was undertaken in Brazil. Participants were randomised 1:1 either to receive ChAdOx1 nCov-19 or to a control group. COVID-19 infections were confirmed by nucleic acid amplification test (NAAT) and classified using the WHO clinical progression scale. Anti-spike antibody responses and serum neutralising activity were measured 28 days after second vaccination in some participants. Exploratory analyses were conducted into factors associated with COVID-19 infection severity and hospitalisation, using logistic regression models adjusted for demographic and clinical factors.

Results: 10,416 participants were enrolled; 1790 had NAAT-positive COVID-19 infection; 63 cases required hospitalisation. More severe infection was associated with greater body-mass index (BMI) (odds ratio [OR] = 1.06 [95 %CI: 1.01-1.10], p = 0.01) and diabetes (OR = 3.67 [1.59-8.07], p = 0.003). Hospitalisation risk increased with greater age (OR = 1.06 [1.03-1.08], p < 0.001) and BMI (OR = 1.10 [1.05-1.16], p < 0.001). More severe infection and hospitalisation risks increased >180 days after last vaccination. In the fully vaccinated subgroup (n = 841), only greater age predicted hospitalisation (OR = 1.07 [1.03-1.12], p < 0.001). Serological responses to two vaccine doses diminished with age.

Conclusions: Unvaccinated individuals with high BMI and diabetes risked more severe COVID-19 outcomes. Vaccination mitigated this risk.

Clinical trial registration number: NCT04536051.

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