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一种用于估计接种第二剂辉瑞-生物科技公司2019冠状病毒病疫苗后发热情况的预测模型:一项观察性队列研究。

A predictive model to estimate fever after receipt of the second dose of Pfizer-BioNTech coronavirus disease 2019 vaccine: An observational cohort study.

作者信息

Chiba Satoru, Shinohara Kaoru

机构信息

Department of Internal Medicine, Sapporo Suzuki Hospital Medical Corporation Kenseikai Hokkaido Japan.

Department of Psychiatric Medicine, Sapporo Suzuki Hospital Medical Corporation Kenseikai Hokkaido Japan.

出版信息

Health Sci Rep. 2022 Jul 20;5(4):e742. doi: 10.1002/hsr2.742. eCollection 2022 Jul.

DOI:10.1002/hsr2.742
PMID:35873402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9297380/
Abstract

BACKGROUND AND AIMS

Fever after coronavirus disease 2019 (COVID-19) vaccination is generally a mild and benign event, but can cause excessive anxiety in younger adults. This study aimed to find key factors that include allergic diseases or physique that determine fever after vaccination.

METHODS

We conducted an observational cohort study in our hospital to assess post-COVID-19 vaccination fever from April to June 2021. A total of 153 medical personnel aged 22-86 years of age were involved in the study to receive two doses, intramuscularly 21 days apart, of the Pfizer-BioNTech COVID-19 vaccine (30 μg per dose). Vaccination records were taken more than 72 h after vaccination. Clinical and laboratory variables (age, sex, allergy history, weight, height, serum hemoglobin concentration, and these derivatives) were examined by multivariable logistic regression analysis using the peak axillary temperature in the 4-day period after the second vaccination as a dependent variable.

RESULTS

No serious safety problems were detected. The incidence of a postsecond vaccination fever of 37.3°C or above was 29.4%. Logistic regression analysis found age, history of perennial allergic rhinitis, body surface area, body weight, percent overweight, and serum hemoglobin concentration as independent predictors of postvaccination fever. The characteristics of this individual were incorporated into the numerical model of human thermoregulation. The evaluation of this model had a sensitivity of 66.1% and a specificity of 90.7% in the detection of postvaccination fever. The multiple coefficient of determination ( ) was 0.410.

CONCLUSION

The COVID-19 vaccine induced higher rates of fever during the 4-day period after the second vaccination. Younger age, part of the allergy history, small and light body, and concentrated blood were associated with postvaccination fever.

摘要

背景与目的

2019冠状病毒病(COVID-19)疫苗接种后的发热通常是一种轻微的良性事件,但可能会引起年轻成年人过度焦虑。本研究旨在找出决定接种疫苗后发热的关键因素,包括过敏性疾病或体质。

方法

我们于2021年4月至6月在我院开展了一项观察性队列研究,以评估COVID-19疫苗接种后的发热情况。共有153名年龄在22 - 86岁的医务人员参与研究,他们接受了两剂辉瑞 - 生物科技公司的COVID-19疫苗(每剂30μg),肌肉注射,间隔21天。在接种疫苗72小时后记录接种情况。以第二次接种后4天内的腋窝最高温度为因变量,通过多变量逻辑回归分析检查临床和实验室变量(年龄、性别、过敏史、体重、身高、血清血红蛋白浓度及这些衍生指标)。

结果

未检测到严重的安全问题。第二次接种后发热至37.3°C及以上的发生率为29.4%。逻辑回归分析发现年龄、常年性过敏性鼻炎病史、体表面积、体重、超重百分比和血清血红蛋白浓度是接种后发热的独立预测因素。将个体的这些特征纳入人体体温调节数值模型。该模型在检测接种后发热方面的评估灵敏度为66.1%,特异度为90.7%。多重决定系数( )为0.410。

结论

COVID-19疫苗在第二次接种后的4天内引起较高的发热率。年龄较小、部分过敏史、体型小且轻以及血液浓缩与接种后发热有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e2b/9297380/14f70612c9d3/HSR2-5-e742-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e2b/9297380/14f70612c9d3/HSR2-5-e742-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e2b/9297380/14f70612c9d3/HSR2-5-e742-g001.jpg

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