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与 Lifelines 中 SARS-COV-2 阳性检测相关的因素。

Factors associated with SARS-COV-2 positive test in Lifelines.

机构信息

Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Computer Science and Artificial Intelligence, University of Groningen-Bernoulli Institute for Mathematics, Groningen, Netherlands.

出版信息

PLoS One. 2023 Nov 29;18(11):e0294556. doi: 10.1371/journal.pone.0294556. eCollection 2023.

Abstract

BACKGROUND

Severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) can affect anyone, however, it is often mixed with other respiratory diseases. This study aimed to identify the factors associated with SARS-COV-2 positive test.

METHODS

Participants from the Northern Netherlands representative of the general population were included if filled in the questionnaire about well-being between June 2020-April 2021 and were tested for SARS-COV-2. The outcome was a self-reported test as measured by polymerase chain reaction. The data were collected on age, sex, household, smoking, alcohol use, physical activity, quality of life, fatigue, symptoms and medications use. Participants were matched on sex, age and the timing of their SARS-COV-2 tests maintaining a 1:4 ratio and classified into those with a positive and negative SARS-COV-2 using logistic regression. The performance of the model was compared with other machine-learning algorithms by the area under the receiving operating curve.

RESULTS

2564 (20%) of 12786 participants had a positive SARS-COV-2 test. The factors associated with a higher risk of SARS-COV-2 positive test in multivariate logistic regression were: contact with someone tested positive for SARS-COV-2, ≥1 household members, typical SARS-COV-2 symptoms, male gender and fatigue. The factors associated with a lower risk of SARS-COV-2 positive test were higher quality of life, inhaler use, runny nose, lower back pain, diarrhea, pain when breathing, sore throat, pain in neck, shoulder or arm, numbness or tingling, and stomach pain. The performance of the logistic models was comparable with that of random forest, support vector machine and gradient boosting machine.

CONCLUSIONS

Having a contact with someone tested positive for SARS-COV-2 and living in a household with someone else are the most important factors related to a positive SARS-COV-2 test. The loss of smell or taste is the most prominent symptom associated with a positive test. Symptoms like runny nose, pain when breathing, sore throat are more likely to be indicative of other conditions.

摘要

背景

严重急性呼吸系统综合症冠状病毒 2 型(SARS-CoV-2)可影响任何人,但常与其他呼吸道疾病混合发生。本研究旨在确定与 SARS-CoV-2 阳性检测相关的因素。

方法

参与者来自荷兰北部具有代表性的一般人群,如果在 2020 年 6 月至 2021 年 4 月期间填写了关于幸福感的问卷并接受了 SARS-CoV-2 检测,则将其纳入研究。结果是通过聚合酶链反应测量的自我报告检测。收集的数据包括年龄、性别、家庭、吸烟、饮酒、身体活动、生活质量、疲劳、症状和药物使用情况。根据性别、年龄和 SARS-CoV-2 检测时间,以 1:4 的比例对参与者进行匹配,并根据 SARS-CoV-2 检测结果将参与者分为阳性和阴性组,使用逻辑回归进行分类。通过接收操作曲线下的面积比较模型与其他机器学习算法的性能。

结果

在 12786 名参与者中,有 2564 名(20%)的 SARS-CoV-2 检测结果为阳性。多变量逻辑回归分析表明,与 SARS-CoV-2 阳性检测风险增加相关的因素有:与 SARS-CoV-2 检测阳性者接触、≥1 名家庭成员、典型 SARS-CoV-2 症状、男性和疲劳。与 SARS-CoV-2 阳性检测风险降低相关的因素有:更高的生活质量、使用吸入器、流鼻涕、下背痛、腹泻、呼吸时疼痛、喉咙痛、颈部、肩部或手臂疼痛、麻木或刺痛、胃痛。逻辑模型的性能与随机森林、支持向量机和梯度提升机相当。

结论

与 SARS-CoV-2 检测阳性者接触以及与他人同住是与 SARS-CoV-2 阳性检测最相关的重要因素。嗅觉或味觉丧失是与阳性检测最相关的突出症状。流鼻涕、呼吸时疼痛、喉咙痛等症状更可能是其他疾病的指征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1077/10686451/17d68a585b2c/pone.0294556.g001.jpg

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