Ismail Nor Hayati, Siddig Alaa, Ab Aziz Nor Azah Farhah, Ramli Marini, Zulkafli Zefarina, Johan Muhammad Farid, Hassan Siti Asma, Bahar Rosnah, Mohd Noor Noor Haslina, Mohamed Yusoff Shafini
Department of Hematology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Department of Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kota Bharu, MYS.
Cureus. 2024 Dec 5;16(12):e75174. doi: 10.7759/cureus.75174. eCollection 2024 Dec.
Distinguishing dengue fever (DF) from other viral infections solely based on common presentations poses a challenge. Therefore, there is a pressing need for additional diagnostic parameters that are reliable, swift, and cost-effective. This study aims to provide novel insights into the diagnostic value of hematological parameters, particularly mean monocyte volume (MMV), in predicting DF in Kelantan, Malaysia.
This cross-sectional study enrolled 162 patients with suspected DF symptoms. The diagnosis was confirmed through dengue immunoglobulin M (IgM) capture enzyme-linked immunosorbent assay (ELISA) or Dengue Early ELISA for nonstructural protein 1 (NS1) antigen detection. Hematological parameters were measured using the Coulter DxH 800 hematology analyzer (Beckman Coulter, Brea, CA), and the statistical analysis was performed using SPSS version 22 (IBM Corp., Armonk, NY).
A total of 108 patients tested positive for DF, while 54 tested negative. We observed significant differences in WBC count, platelet count, and monocyte percentage between patients with DF and non-DF, while no significant correlation was noted for MMV. Subsequent statistical analysis, including receiver operating characteristic (ROC) curve analysis, revealed that monocyte percentage exhibited the largest area under the curve (0.715), indicating its potential as moderate discriminative power in diagnosing DF.
Our study findings indicate that monocyte percentage and MMV outcomes are insufficient for predicting DF, suggesting potential areas for further research.
仅依据常见症状将登革热（DF）与其他病毒感染区分开来具有挑战性。因此，迫切需要可靠、快速且经济高效的额外诊断参数。本研究旨在深入了解血液学参数，特别是平均单核细胞体积（MMV）在马来西亚吉兰丹州预测登革热方面的诊断价值。
这项横断面研究纳入了162名有疑似登革热症状的患者。通过登革热免疫球蛋白M（IgM）捕获酶联免疫吸附测定（ELISA）或用于非结构蛋白1（NS1）抗原检测的登革热早期ELISA来确诊。使用库尔特DxH 800血液分析仪（贝克曼库尔特公司，加利福尼亚州布雷亚）测量血液学参数，并使用SPSS 22版（IBM公司，纽约州阿蒙克）进行统计分析。
共有108名患者登革热检测呈阳性，54名检测呈阴性。我们观察到登革热患者与非登革热患者之间在白细胞计数、血小板计数和单核细胞百分比方面存在显著差异，而MMV未发现显著相关性。随后的统计分析，包括受试者工作特征（ROC）曲线分析，显示单核细胞百分比的曲线下面积最大（0.715），表明其在诊断登革热方面具有中等鉴别能力的潜力。
我们的研究结果表明，单核细胞百分比和MMV结果不足以预测登革热，这提示了进一步研究的潜在领域。
