血液学参数作为严重登革热的预测因素:西孟加拉邦北部地区的一项研究
Sudipta K Roy1, Bappaditya Ghosh2, Ayan Chakraborty3
1Cell and Molecular Biology Laboratory, Department of Zoology, University of North Bengal, Raja Rammohunpur, P.O. North Bengal University, Siliguri, Darjeeling, West Bengal, India.
Journal of vector borne diseases
|December 5, 2024
概括
登革热病毒 (DENV) 联合感染,特别是DENV2和DENV3,显著影响血红素和血小板计数. 使用年龄,关节疼痛和血液参数的预测模型可以帮助识别严重的登革热病例.
科学领域:
- 病毒学 病毒学
- 血液学 血液学 血液学
- 流行病学 流行病学
背景情况:
- 印度登革热病例的增加与单个/多个血清型和二次感染有关.
- 显著的住院和死亡人数强调了早期严重性预测的必要性.
研究的目的:
- 评估症状和血液学参数,以预测早期登革热的严重程度.
- 分析在西孟加拉邦循环DENV血清型和疾病严重程度之间的相关性.
主要方法:
- 研究了540名NS1阳性登革热患者,将他们分为严重登革热出血性发烧 (DHF) 和轻度登革热 (DF).
- 使用后勤回归用于风险预测和RT-qPCR用于DENVRNA检测和血清定型.
主要成果:
- 多种血清型感染 (DENV2和DENV3联合感染) 普遍存在 (79.27%),影响了血红素和血小板计数.
- 后勤回归确定了年龄,关节疼痛,血红蛋白,红细胞,白细胞和淋巴细胞百分比作为严重的预测者.
结论:
- DENV2和DENV3联合感染强烈影响血红素和血小板水平.
- 结合临床和血液学因素的预测模型可以有效预测登革热的严重程度.
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