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2017 年南非因严重呼吸道疾病住院的患者使用综合征分子诊断平台检测到的病原体。

Pathogens detected using a syndromic molecular diagnostic platform in patients hospitalized with severe respiratory illness in South Africa in 2017.

机构信息

Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa; Department of Clinical Microbiology and Infectious Diseases, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

出版信息

Int J Infect Dis. 2022 Sep;122:389-397. doi: 10.1016/j.ijid.2022.06.011. Epub 2022 Jun 11.

Abstract

OBJECTIVES

We describe the use of a multipathogen platform, TaqMan array card (TAC) real-time polymerase chain reaction, for the detection of pathogens in patients hospitalized with severe respiratory illness (SRI).

METHODS

Prospective hospital-based syndromic surveillance for acute and chronic SRI was carried out at two sentinel sites in South Africa between January and December 2017. We tested respiratory specimens for 21 respiratory pathogens and blood samples for nine bacteria using TAC. Pathogen detection was compared by age group and HIV status using the chi-square test.

RESULTS

During 2017, 956 patients of all ages were enrolled in the SRI surveillance, and of these, 637 (67%) patients were included in this study (637 blood, 487 naso- and oro-pharyngeal swabs, and 411 sputum specimens tested). At least one pathogen was detected in 83% (527/637) of patients. Common pathogens detected included Haemophilus influenzae (225/637; 35%), Streptococcus pneumoniae (224/637; 35%), rhinovirus (144/637; 23%), Staphylococcus aureus (129/637; 20%), Klebseilla pneumoniae (85/637; 13%), Mycobacterium tuberculosis (75/637; 12%), and respiratory syncytial virus (57/637; 9%). Multiple pathogens (≥2) were codetected in 57% (364/637) of patients.

CONCLUSION

Although the use of a multi-pathogen platform improved pathogen yield, pathogen co-detections were common and would need clinical assessment for usefulness in individual-level treatment and management decisions.

摘要

目的

我们描述了 TaqMan 阵列卡(TAC)实时聚合酶链反应多病原体平台在检测因严重呼吸道疾病(SRI)住院患者病原体中的应用。

方法

2017 年 1 月至 12 月,在南非的两个哨点医院开展了急性和慢性 SRI 的基于医院的综合征监测前瞻性研究。我们使用 TAC 对 21 种呼吸道病原体和 9 种细菌的呼吸道标本和血液标本进行了检测。通过卡方检验比较了不同年龄组和 HIV 状态下的病原体检测情况。

结果

2017 年,共有 956 名各种年龄的 SRI 患者参加了监测,其中 637 名(67%)患者被纳入本研究(637 份血液、487 份鼻咽喉拭子和 411 份痰标本)。83%(527/637)的患者至少检测到一种病原体。常见病原体包括流感嗜血杆菌(225/637;35%)、肺炎链球菌(224/637;35%)、鼻病毒(144/637;23%)、金黄色葡萄球菌(129/637;20%)、肺炎克雷伯菌(85/637;13%)、结核分枝杆菌(75/637;12%)和呼吸道合胞病毒(57/637;9%)。57%(364/637)的患者同时检测到多种病原体(≥2)。

结论

尽管多病原体平台的使用提高了病原体的检出率,但病原体的共同检出很常见,需要进行临床评估,以确定其在个体治疗和管理决策中的有用性。

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