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一项观察性研究,旨在探究印度东部登革热患者的病毒载量、NS1抗原、IgG抗体及其他实验室参数与疾病转归之间的关联。

An Observational Study to Find the Association of Viral Load, NS1 Antigen, IgG Antibody, and Other Laboratory Parameters With the Outcome of Dengue Patients in Eastern India.

作者信息

Sarkar Soma, Ghosh Anindya, Nag Soumi, Das Shantanab, Sarkar Dipankar

机构信息

Microbiology, Infectious Diseases and Beleghata General Hospital, Kolkata, IND.

Microbiology, Panihati State General Hospital, Kolkata, IND.

出版信息

Cureus. 2024 Jun 30;16(6):e63516. doi: 10.7759/cureus.63516. eCollection 2024 Jun.

DOI:10.7759/cureus.63516
PMID:39081415
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11288338/
Abstract

Background Dengue, the mosquito-borne febrile disease caused by the dengue virus, has become one of the major concerns of public health. It may present with only fever, or there may be a hemorrhagic manifestation or septic shock. As there is no specific treatment for dengue, early detection of the disease, assessment of progression, and prediction of outcome by studying the laboratory markers will help guide the management of cases and lower morbidity and mortality. Methodology This clinico-observational study was conducted at the Department of Microbiology in a tertiary care hospital in Kolkata, India, from February 2020 to August 2022 to determine the outcome of dengue patients in correlation with viral load, NS1 antigen, IgM and IgG antibodies, ferritin level, platelet count, and other laboratory parameters. Results Out of 316 samples from fever patients, 103 (32.5%) were NS1 antigen reactive. We followed up the dengue patients (n = 103) for 15 days and divided them into three groups according to their duration of symptoms (group A suffered for ≤5 days, group B for 5 to 10 days, and group C for >10 days) and per the WHO classification of disease severity, namely dengue without warning signs (DOS), dengue with warning signs (DWS), and severe dengue (SD). Based on severity, 65 (63.1%) patients had DOS, whereas 31 (30.09%) patients had DWS, and seven (6.79%) patients had SD. Secondary infection was present in 83.33% of patients in group C, 71% of DWS cases, and 57% of SD cases, which positively correlates with liver enzymes, viral load (mean value 102195 in secondary infection vs. 1195 copies/10 µl in primary infection), and negatively correlates with platelet counts (mean value 60,213 in secondary infection vs. 1,25,516 in primary infection). Patients in group C had higher liver enzymes, a lower platelet count, and a higher initial viral load than groups A and B. Similarly, SD cases had a higher ferritin level (9215 ug/l), a lower platelet count (mean value 23,250), and a higher initial viral load (mean value 2,74,257 copies/10 µl). An increase in hematocrit value considering the peak value and its baseline value is an important marker for disease severity rather than its absolute value. Conclusion Poor outcome of dengue infection, i.e., an increase in the duration of symptoms and disease severity depends on concurrent associations between high serum ferritin, increased hematocrit level, thrombocytopenia, secondary infection, increasing liver enzymes, and increased initial viral load.

摘要

背景

登革热是由登革病毒引起的蚊媒发热性疾病,已成为公共卫生的主要关注问题之一。它可能仅表现为发热,也可能出现出血表现或感染性休克。由于登革热没有特效治疗方法,通过研究实验室指标早期发现疾病、评估病情进展和预测预后将有助于指导病例管理并降低发病率和死亡率。

方法

这项临床观察性研究于2020年2月至2022年8月在印度加尔各答一家三级护理医院的微生物科进行,以确定登革热患者的预后与病毒载量、NS1抗原、IgM和IgG抗体、铁蛋白水平、血小板计数及其他实验室参数之间的相关性。

结果

在316份发热患者样本中,103份(32.5%)NS1抗原呈反应性。我们对103例登革热患者进行了15天的随访,并根据症状持续时间(A组症状持续时间≤5天,B组为5至10天,C组>10天)以及世界卫生组织的疾病严重程度分类,即无预警体征的登革热(DOS)、有预警体征的登革热(DWS)和重症登革热(SD)将他们分为三组。根据严重程度,65例(63.1%)患者为DOS,31例(30.09%)患者为DWS,7例(6.79%)患者为SD。C组83.33%的患者、DWS病例中的71%以及SD病例中的57%存在二次感染,这与肝酶、病毒载量呈正相关(二次感染时平均值为102195,初次感染时为1195拷贝/10μl),与血小板计数呈负相关(二次感染时平均值为60213,初次感染时为125516)。C组患者的肝酶水平较高、血小板计数较低且初始病毒载量高于A组和B组。同样,SD病例的铁蛋白水平较高(9215μg/l)、血小板计数较低(平均值为23250)且初始病毒载量较高(平均值为274257拷贝/10μl)。考虑峰值及其基线值时血细胞比容值的升高是疾病严重程度的重要指标,而非其绝对值。

结论

登革热感染预后不良,即症状持续时间延长和疾病严重程度增加,取决于高血清铁蛋白、血细胞比容水平升高、血小板减少、二次感染、肝酶升高和初始病毒载量增加之间的并发关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/d8c90414a8ae/cureus-0016-00000063516-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/abf56b6b95ba/cureus-0016-00000063516-i01.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/4e800931b2e0/cureus-0016-00000063516-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/8909fbdd4068/cureus-0016-00000063516-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/336f8dfc0938/cureus-0016-00000063516-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/52b3b42476f7/cureus-0016-00000063516-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/f8ac4aacaf88/cureus-0016-00000063516-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/1d1ab9b0e857/cureus-0016-00000063516-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ba/11288338/d8c90414a8ae/cureus-0016-00000063516-i08.jpg

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