• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
High Amounts of SARS-CoV-2 Precede Sickness Among Asymptomatic Health Care Workers.大量 SARS-CoV-2 可在无症状医护人员出现症状前检出。
J Infect Dis. 2021 Jul 2;224(1):14-20. doi: 10.1093/infdis/jiab099.
2
Antibodies to SARS-CoV-2 and risk of past or future sick leave.针对 SARS-CoV-2 的抗体与过去或未来请病假的风险。
Sci Rep. 2021 Mar 4;11(1):5160. doi: 10.1038/s41598-021-84356-w.
3
Predicting past and future SARS-CoV-2-related sick leave using discrete time Markov modelling.利用离散时间马尔可夫模型预测过去和未来与 SARS-CoV-2 相关的病假。
PLoS One. 2022 Aug 12;17(8):e0273003. doi: 10.1371/journal.pone.0273003. eCollection 2022.
4
Sick leave due to SARS-CoV-2 infection.因 SARS-CoV-2 感染导致的病假。
Occup Med (Lond). 2024 Oct 1;74(7):486-492. doi: 10.1093/occmed/kqad140.
5
Patterns and predictors of sick leave among Swedish non-hospitalized healthcare and residential care workers with Covid-19 during the early phase of the pandemic.在疫情早期,瑞典未住院的医护人员和疗养院工作人员感染新冠病毒后的病假模式和预测因素。
PLoS One. 2021 Dec 9;16(12):e0260652. doi: 10.1371/journal.pone.0260652. eCollection 2021.
6
Potential SARS-CoV-2 infectiousness among asymptomatic healthcare workers.无症状医护人员中的潜在 SARS-CoV-2 传染性。
PLoS One. 2021 Dec 17;16(12):e0260453. doi: 10.1371/journal.pone.0260453. eCollection 2021.
7
[Serological tests for SARS-CoV-2 in a health workers population in Nouakchott-Mauritania].[毛里塔尼亚努瓦克肖特卫生工作者群体中针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的血清学检测]
Pan Afr Med J. 2021 Jan 18;38:55. doi: 10.11604/pamj.2021.38.55.24259. eCollection 2021.
8
Prevalence of Sars-Cov-2 Infection in Health Workers (HWs) and Diagnostic Test Performance: The Experience of a Teaching Hospital in Central Italy.意大利中部一所教学医院的卫生工作者(HWs)中 SARS-CoV-2 感染的流行率和诊断检测性能。
Int J Environ Res Public Health. 2020 Jun 19;17(12):4417. doi: 10.3390/ijerph17124417.
9
SARS-CoV-2 infections amongst personnel providing home care services for older persons in Stockholm, Sweden.瑞典斯德哥尔摩为老年人提供家庭护理服务人员中的 SARS-CoV-2 感染情况。
J Intern Med. 2021 Aug;290(2):430-436. doi: 10.1111/joim.13274. Epub 2021 Apr 12.
10
High prevalence of SARS-CoV-2 infection among symptomatic healthcare workers in a large university tertiary hospital in São Paulo, Brazil.巴西圣保罗一家大型大学附属医院出现症状的医护人员中 SARS-CoV-2 感染的高流行率。
BMC Infect Dis. 2020 Dec 2;20(1):917. doi: 10.1186/s12879-020-05662-8.

引用本文的文献

1
A joint Bayesian spatiotemporal risk prediction model of COVID-19 incidence, IC admission, and death with application to Sweden.一种用于预测新冠病毒疾病发病率、重症监护病房收治率和死亡率的联合贝叶斯时空风险预测模型及其在瑞典的应用
Ann Reg Sci. 2022 Nov 28:1-34. doi: 10.1007/s00168-022-01191-1.
2
Predicting past and future SARS-CoV-2-related sick leave using discrete time Markov modelling.利用离散时间马尔可夫模型预测过去和未来与 SARS-CoV-2 相关的病假。
PLoS One. 2022 Aug 12;17(8):e0273003. doi: 10.1371/journal.pone.0273003. eCollection 2022.
3
Potential SARS-CoV-2 infectiousness among asymptomatic healthcare workers.无症状医护人员中的潜在 SARS-CoV-2 传染性。
PLoS One. 2021 Dec 17;16(12):e0260453. doi: 10.1371/journal.pone.0260453. eCollection 2021.
4
Risk for SARS-CoV-2 infection in healthcare workers outside hospitals: A real-life immuno-virological study during the first wave of the COVID-19 epidemic.医疗机构外医护人员感染 SARS-CoV-2 的风险:COVID-19 疫情第一波期间的一项真实免疫病毒学研究。
PLoS One. 2021 Sep 28;16(9):e0257854. doi: 10.1371/journal.pone.0257854. eCollection 2021.
5
COVID-19 among Health Workers in Germany-An Update.德国卫生工作者中的 COVID-19 情况更新。
Int J Environ Res Public Health. 2021 Aug 31;18(17):9185. doi: 10.3390/ijerph18179185.
6
Association between household exposure and cycle threshold in COVID-19 infected health care workers.新冠病毒感染医护人员的家庭暴露与循环阈值之间的关联。
J Occup Med Toxicol. 2021 Aug 4;16(1):29. doi: 10.1186/s12995-021-00321-3.

大量 SARS-CoV-2 可在无症状医护人员出现症状前检出。

High Amounts of SARS-CoV-2 Precede Sickness Among Asymptomatic Health Care Workers.

机构信息

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Karolinska University Hospital, Stockholm, Sweden.

出版信息

J Infect Dis. 2021 Jul 2;224(1):14-20. doi: 10.1093/infdis/jiab099.

DOI:10.1093/infdis/jiab099
PMID:33580261
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7928785/
Abstract

BACKGROUND

Whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positivity among asymptomatic subjects reflects past or future disease may be difficult to ascertain.

METHODS

We tested 9449 employees at Karolinska University Hospital, Stockholm, Sweden for SARS-CoV-2 RNA and antibodies, linked the results to sick leave records, and determined associations with past or future sick leave using multinomial logistic regression.

RESULTS

Subjects with high amounts of SARS-CoV-2 virus, indicated by polymerase chain reaction (PCR) cycle threshold (Ct) value, had the highest risk for sick leave in the 2 weeks after testing (odds ratio [OR], 11.97; 95% confidence interval [CI], 6.29-22.80) whereas subjects with low amounts of virus had the highest risk for sick leave in the 3 weeks before testing (OR, 6.31; 95% CI, 4.38-9.08). Only 2.5% of employees were SARS-CoV-2 positive while 10.5% were positive by serology and 1.2% were positive in both tests. Serology-positive subjects were not at excess risk for future sick leave (OR, 1.06; 95% CI, .71-1.57).

CONCLUSIONS

High amounts of SARS-CoV-2 virus, as determined using PCR Ct values, was associated with development of sickness in the next few weeks. Results support the concept that PCR Ct may be informative when testing for SARS-CoV-2. Clinical Trials Registration. NCT04411576.

摘要

背景

无症状个体中严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)阳性是否反映过去或未来的疾病可能难以确定。

方法

我们在瑞典斯德哥尔摩卡罗林斯卡大学医院对 9449 名员工进行了 SARS-CoV-2 RNA 和抗体检测,将结果与病假记录相关联,并使用多项逻辑回归确定与过去或未来病假的关联。

结果

聚合酶链反应(PCR)循环阈值(Ct)值高的 SARS-CoV-2 病毒含量高的受试者在检测后 2 周内病假风险最高(优势比[OR],11.97;95%置信区间[CI],6.29-22.80),而病毒含量低的受试者在检测前 3 周内病假风险最高(OR,6.31;95%CI,4.38-9.08)。只有 2.5%的员工 SARS-CoV-2 呈阳性,而 10.5%的员工血清学呈阳性,1.2%的员工两种检测均呈阳性。血清学阳性的受试者未来病假的风险没有增加(OR,1.06;95%CI,0.71-1.57)。

结论

使用 PCR Ct 值确定的大量 SARS-CoV-2 病毒与未来几周内疾病的发生有关。结果支持 PCR Ct 在检测 SARS-CoV-2 时可能具有信息性的概念。临床试验注册。NCT04411576。