2022年尼泊尔登革热暴发期间急性登革热感染血液学和生化参数与血清学标志物的关系

IF 2.1 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Bibek Raj Bhattarai, Abhishek Mishra, Suraj Aryal, Mandira Chhusyabaga, Rajshree Bhujel
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引用次数: 0

摘要

背景:尼泊尔在2022年面临一次重大登革热疫情。大多数医院和实验室用于登革热确诊的资源有限,不得不依靠快速登革热诊断检测。该研究的目的是寻找登革热感染(NS1和IgM)每个血清学阶段的预测性血液学和生化参数,这些参数可能有助于通过使用快速血清学测试进行登革热诊断、严重程度评估和患者管理。方法:对登革热患者进行实验室横断面研究。采用快速抗原(NS1)和血清IgM/IgG检测诊断登革热阳性病例。此外,对NS1和/或igm阳性参与者进行血液学和生化调查并进行比较。采用logistic回归分析确定血液学和生化特征对登革热诊断和患者管理的有效性。采用受试者工作特征(ROC)曲线分析确定最佳截止、敏感性和特异性。结果:多元logistic回归显示血小板减少(ORA = 1.000;p = 0.006),白细胞减少(ORA = 0.999;p < 0.001),血糖水平(ORA = 1.028;p = 0.029),天冬氨酸转氨酶(ORA = 1.131;p = 0.001),单核细胞增多症(ORA = 2.332;p = 0.020)作为ns1阳性组的显著参数。同样,血小板减少症(ORA = 1.000;p = 0.001),血糖水平(ORA = 1.037;p = 0.004),天冬氨酸转氨酶(ORA = 1.141;p < 0.001)。此外,血小板减少症(ORA = 1.000;p < 0.001),白细胞减少(ORA = 0.999;p < 0.001),葡萄糖(ORA = 1.031;p = 0.017),天冬氨酸转氨酶(ORA = 1.136;p < 0.001),淋巴细胞减少(ORA = 0.520;p = 0.067)是NS1 + IgM阳性组的独立预测因子。在所有模型中,血小板均表现出更高的曲线下面积,敏感性和特异性均有所提高,而当观察到单一IgM阳性时,天冬氨酸转氨酶(AUC = 0.811)和葡萄糖(AUC = 0.712)表现出更好的结果。NS1 + IgM均阳性时,总白细胞计数较好(AUC = 0.814)。结论:因此,血小板减少、AST升高、高血糖水平、白细胞减少伴单核细胞增多、白细胞减少伴淋巴细胞减少可预测活动性感染期间登革热的诊断及其严重程度。因此,这些实验室参数可用于补充敏感性较低的快速检测,改善登革热诊断,并有助于适当的患者管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Hematological and Biochemical Parameters with Serological Markers of Acute Dengue Infection during the 2022 Dengue Outbreak in Nepal.

Background: Nepal faced a major dengue outbreak in 2022. The majority of hospitals and laboratories had limited resources for dengue confirmation and had to rely on rapid dengue diagnostic tests. The purpose of the study is to find the predictive hematological and biochemical parameters in each serological phase of dengue infection (NS1 and IgM) that may assist in dengue diagnosis, severity assessment, and patient management via the use of rapid serological tests.

Method: A laboratory-based cross-sectional study was conducted among dengue patients. Rapid antigen (NS1) and serological test (IgM/IgG) was performed to diagnose positive dengue cases. Furthermore, hematological and biochemical investigations were carried out and compared between NS1 and/or IgM-positive participants. A logistic regression analysis was used to identify the validity of the hematological and biochemical characteristics for dengue diagnosis as well as patient management. Receiver-operating characteristic (ROC) curve analysis was used to define the best cut-off, sensitivity, and specificity.

Result: Multiple logistic regression showed thrombocytopenia (ORA = 1.000; p = 0.006), leukopenia (ORA = 0.999; p < 0.001), glucose level (ORA = 1.028; p = 0.029), aspartate aminotransferase (ORA = 1.131; p = 0.001), and monocytosis (ORA = 2.332; p = 0.020) as significant parameters in the NS1-only positive group. Similarly, thrombocytopenia (ORA = 1.000; p = 0.001), glucose level (ORA = 1.037; p = 0.004), and aspartate aminotransferase (ORA = 1.141; p < 0.001) were significant in IgM-only positive patients. Moreover, thrombocytopenia (ORA = 1.000; p < 0.001), leukopenia (ORA = 0.999; p < 0.001), glucose (ORA = 1.031; p = 0.017), aspartate aminotransferase (ORA = 1.136; p < 0.001), and lymphopenia (ORA = 0.520; p = 0.067) were independent predictors in both NS1 + IgM positive groups. Platelets consistently demonstrated a higher area under the curve with increased sensitivity and specificity throughout all models, while aspartate aminotransferase (AUC = 0.811) and glucose (AUC = 0.712) demonstrated better results when single IgM positivity was observed. The total leukocyte count performed better when both NS1 + IgM were positive (AUC = 0.814).

Conclusion: Hence, thrombocytopenia, elevated AST, high glucose level, leukopenia with monocytosis, and leukopenia with lymphopenia may predict dengue diagnosis and its severity during an active infection. Therefore, these laboratory parameters can be used to complement less sensitive rapid tests, improve dengue diagnosis, and help with proper patient management.

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来源期刊
Journal of Tropical Medicine
Journal of Tropical Medicine Immunology and Microbiology-Parasitology
CiteScore
3.90
自引率
4.50%
发文量
0
审稿时长
14 weeks
期刊介绍: Journal of Tropical Medicine is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies on all aspects of tropical diseases. Articles on the pathology, diagnosis, and treatment of tropical diseases, parasites and their hosts, epidemiology, and public health issues will be considered. Journal of Tropical Medicine aims to facilitate the communication of advances addressing global health and mortality relating to tropical diseases.
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