Bhattarai Bibek Raj, Mishra Abhishek, Aryal Suraj, Chhusyabaga Mandira, Bhujel Rajshree
Department of Clinical Pathology, Nepal Lab House, Kathmandu, Nepal.
Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Tribhuvan University, Kathmandu, Nepal.
J Trop Med. 2023 Feb 23;2023:2904422. doi: 10.1155/2023/2904422. eCollection 2023.
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.
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.
Multiple logistic regression showed thrombocytopenia (OR = 1.000; = 0.006), leukopenia (OR = 0.999; < 0.001), glucose level (OR = 1.028; = 0.029), aspartate aminotransferase (OR = 1.131; = 0.001), and monocytosis (OR = 2.332; = 0.020) as significant parameters in the NS1-only positive group. Similarly, thrombocytopenia (OR = 1.000; = 0.001), glucose level (OR = 1.037; = 0.004), and aspartate aminotransferase (OR = 1.141; < 0.001) were significant in IgM-only positive patients. Moreover, thrombocytopenia (OR = 1.000; < 0.001), leukopenia (OR = 0.999; < 0.001), glucose (OR = 1.031; = 0.017), aspartate aminotransferase (OR = 1.136; < 0.001), and lymphopenia (OR = 0.520; = 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).
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.
尼泊尔在2022年面临严重的登革热疫情。大多数医院和实验室用于登革热确诊的资源有限,不得不依赖快速登革热诊断检测。本研究的目的是找出登革热感染各血清学阶段(NS1和IgM)中具有预测性的血液学和生化参数,这些参数可通过快速血清学检测辅助登革热诊断、病情评估及患者管理。
对登革热患者进行了一项基于实验室的横断面研究。采用快速抗原(NS1)和血清学检测(IgM/IgG)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检查并比较。采用逻辑回归分析确定血液学和生化特征对登革热诊断及患者管理的有效性。采用受试者工作特征(ROC)曲线分析确定最佳临界值、敏感性和特异性。
多因素逻辑回归显示,仅NS1阳性组中,血小板减少(OR = 1.000;P = 0.006)、白细胞减少(OR = 0.999;P < 0.001)、血糖水平(OR = 1.028;P = 0.029)、天冬氨酸转氨酶(OR = 1.131;P = 0.001)和单核细胞增多(OR = 2.332;P = 0.020)为显著参数。同样,仅IgM阳性患者中,血小板减少(OR = 1.000;P = 0.001)、血糖水平(OR = 1.037;P = 0.004)和天冬氨酸转氨酶(OR = 1.141;P < 0.001)显著。此外,在NS1 + IgM双阳性组中,血小板减少(OR = 1.000;P < 0.001)、白细胞减少(OR = 0.999;P < 0.001)、血糖(OR = 1.031;P = 0.017)、天冬氨酸转氨酶(OR = 1.136;P < 0.001)和淋巴细胞减少(OR = 0.520;P = 0.067)为独立预测因素。在所有模型中,血小板始终显示出较高的曲线下面积,且敏感性和特异性增加,而当观察到单一IgM阳性时,天冬氨酸转氨酶(AUC = 0.811)和血糖(AUC = 0.712)显示出更好的结果。当NS1 + IgM均为阳性时,白细胞总数表现更好(AUC = 0.814)。
因此,血小板减少、AST升高、血糖水平升高、伴有单核细胞增多的白细胞减少以及伴有淋巴细胞减少的白细胞减少可能预测登革热诊断及其在活跃感染期间的严重程度。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,并有助于进行适当的患者管理。