The application of automated cell population data for early diagnosis of dengue fever

P. Rajeswaran, P. Kumar, Karthikeyan Shanmugam
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Abstract

Background: Dengue fever is a common tropical illness caused by an arbovirus. A complete blood count is one of the standard investigations performed on a febrile patient. The automated hematology analyzer utilizes the principle of volume (V), conductivity (C), and scatter (S) to generate total and differential leukocyte counts. The present study analyzed the utility of volume, conductivity, and scatter (VCS) parameters in the early diagnosis of dengue. Subjects and Methods: In this study, 700 blood samples were analyzed in the Beckman Coulter LH 780 analyzer. Their total, differential leukocyte counts, lymphocyte, and monocyte VCS parameters were collected. Demographic and clinical details of the patients were retrieved, and statistical analysis was done using IBM SPSS statistics, version 23.0. Results: Among the 700 cases, 271 (38.7%) had viral illnesses and 429 (61.3%) were patients who had diagnoses of nonviral causes. Of 271 viral illnesses, 168 (62%) cases had dengue. There were statistically significant differences (P < 0.05) in total and differential leukocyte counts and VCS parameters of lymphocytes and monocytes in dengue and nondengue viral causes when compared with nonviral causes. For the diagnosis of dengue, mean lymphocyte volume at a cutoff value of above 77 achieved a sensitivity of 60% and specificity of 61% and mean monocyte volume above 145 had a sensitivity and specificity of 62% and 59%, respectively. Conclusion: This study showed changes in VCS parameters of lymphocytes and monocytes, which can be utilized for the early diagnosis of dengue. They can be used, without incurring additional costs, to generate flags to prompt specific testing independent of clinical suspicion.
自动细胞群数据在登革热早期诊断中的应用
背景:登革热是一种常见的由虫媒病毒引起的热带疾病。全血细胞计数是对发热病人进行的标准检查之一。自动血液学分析仪利用体积(V),电导率(C)和散射(S)的原理来生成白细胞总数和差异计数。本研究分析了体积、电导率和散射(VCS)参数在登革热早期诊断中的应用。研究对象和方法:在本研究中,700份血液样本在Beckman Coulter LH 780分析仪中进行分析。收集他们的白细胞总数、差异计数、淋巴细胞和单核细胞VCS参数。检索患者的人口学和临床详细信息,并使用IBM SPSS statistics, version 23.0进行统计分析。结果:700例患者中,病毒性疾病271例(38.7%),非病毒性疾病429例(61.3%)。271例病毒性疾病中,168例(62%)为登革热。登革和非登革病毒病因与非病毒病因的总白细胞计数、差异白细胞计数、淋巴细胞和单核细胞VCS参数比较,差异有统计学意义(P < 0.05)。对于登革热的诊断,平均淋巴细胞体积在临界值大于77时的敏感性为60%,特异性为61%,平均单核细胞体积大于145时的敏感性和特异性分别为62%和59%。结论:本研究显示淋巴细胞和单核细胞VCS参数的变化,可用于登革热的早期诊断。它们可以在不产生额外费用的情况下用于产生标志,以提示独立于临床怀疑的特定检测。
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4
审稿时长
27 weeks
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