Suppr超能文献

上呼吸道病毒载量、合并症、疾病严重程度与 SARS-CoV-2 感染患者结局的关系。

Association Between Upper Respiratory Tract Viral Load, Comorbidities, Disease Severity, and Outcome of Patients With SARS-CoV-2 Infection.

机构信息

Directorate of Research, Studies, and Documentation, National Public Health Organization, Athens, Greece.

Epidemiological Surveillance of HIV/AIDS Division, National Public Health Organization, Athens, Greece.

出版信息

J Infect Dis. 2021 Apr 8;223(7):1132-1138. doi: 10.1093/infdis/jiaa804.

Abstract

BACKGROUND

There is limited information on the association between upper respiratory tract (URT) viral loads, host factors, and disease severity in SARS-CoV-2-infected patients.

METHODS

We studied 1122 patients (mean age, 46 years) diagnosed by polymerase chain reaction (PCR). URT viral load, measured by PCR cycle threshold, was categorized as high, moderate, or low.

RESULTS

There were 336 (29.9%) patients with comorbidities; 309 patients (27.5%) had high, 316 (28.2%) moderate, and 497 (44.3%) low viral load. In univariate analyses, compared to patients with moderate or low viral load, patients with high viral load were older, more often had comorbidities, developed Symptomatic disease (COVID-19), were intubated, and died. Patients with high viral load had longer stay in intensive care unit and longer intubation compared to patients with low viral load (P values < .05 for all comparisons). Patients with chronic cardiovascular disease, hypertension, chronic pulmonary disease, immunosuppression, obesity, and chronic neurological disease more often had high viral load (P value < .05 for all comparisons). In multivariate analysis high viral load was associated with COVID-19. Level of viral load was not associated with any other outcome.

CONCLUSIONS

URT viral load could be used to identify patients at higher risk for morbidity or severe outcome.

摘要

背景

关于 SARS-CoV-2 感染患者上呼吸道 (URT) 病毒载量、宿主因素和疾病严重程度之间的关联,信息有限。

方法

我们研究了 1122 名经聚合酶链反应 (PCR) 诊断的患者(平均年龄 46 岁)。通过 PCR 循环阈值将 URT 病毒载量分为高、中、低。

结果

336 名(29.9%)患者合并症;309 名患者(27.5%)病毒载量高,316 名(28.2%)病毒载量中等,497 名(44.3%)病毒载量低。在单因素分析中,与中或低病毒载量患者相比,高病毒载量患者年龄较大,合并症较多,出现症状性疾病(COVID-19),需要插管,并且死亡。与低病毒载量患者相比,高病毒载量患者入住重症监护病房时间更长,插管时间更长(所有比较的 P 值均<.05)。患有慢性心血管疾病、高血压、慢性肺部疾病、免疫抑制、肥胖和慢性神经疾病的患者更常出现高病毒载量(所有比较的 P 值均<.05)。多变量分析显示,高病毒载量与 COVID-19 相关。病毒载量水平与任何其他结局均无关。

结论

URT 病毒载量可用于识别发病率或严重后果风险较高的患者。

相似文献

2
Quantitative detection of SARS-CoV-2 RNA in nasopharyngeal samples from infected patients with mild disease.
J Med Virol. 2021 Apr;93(4):2439-2445. doi: 10.1002/jmv.26761. Epub 2021 Jan 5.
4
SARS-CoV-2 infection and viral load are associated with the upper respiratory tract microbiome.
J Allergy Clin Immunol. 2021 Apr;147(4):1226-1233.e2. doi: 10.1016/j.jaci.2021.02.001. Epub 2021 Feb 9.
5
Viral load of SARS-CoV-2 across patients and compared to other respiratory viruses.
Microbes Infect. 2020 Nov-Dec;22(10):617-621. doi: 10.1016/j.micinf.2020.08.004. Epub 2020 Sep 7.
9
Lack of correlation between the SARS-CoV-2 cycle threshold (C ) value and clinical outcomes in patients with COVID-19.
J Med Virol. 2021 Oct;93(10):6059-6062. doi: 10.1002/jmv.27171. Epub 2021 Jul 6.

引用本文的文献

1
Meplazumab, a CD147 antibody, for severe COVID-19: a double-blind, randomized, placebo-controlled, phase 3 clinical trial.
Signal Transduct Target Ther. 2025 Apr 14;10(1):119. doi: 10.1038/s41392-025-02208-9.
7
Association between SARS-CoV-2 gene specific Ct values and COVID-19 associated in-hospital mortality.
Front Epidemiol. 2024 Apr 26;4:1375975. doi: 10.3389/fepid.2024.1375975. eCollection 2024.
8
Outcomes of home-isolated coronavirus disease 2019 patients in Bahrain.
J Family Community Med. 2023 Jul-Sep;30(3):211-218. doi: 10.4103/jfcm.jfcm_10_23. Epub 2023 Jul 24.
9
Immune Status and SARS-CoV-2 Viral Dynamics.
J Infect Dis. 2023 Aug 31;228(Suppl 2):S111-S116. doi: 10.1093/infdis/jiad200.
10
Differential expression of antiviral and immune-related genes in individuals with COVID-19 asymptomatic or with mild symptoms.
Front Cell Infect Microbiol. 2023 Jun 14;13:1173213. doi: 10.3389/fcimb.2023.1173213. eCollection 2023.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验