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Discriminant value of automated leucocyte VCS parameters in the detection of tropical infections

机译:自动白细胞VCS参数在热带感染检测中的判别价值

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Introduction In India, infectious diseases are a leading treatable cause of morbidity and mortality. Mangalore being endemic to many vector‐borne diseases, their incidence is known to show seasonal variations with sharp increase during monsoon. Leucocytes have substantial role in the immunological pathogenesis of infections. Methods The present series was a hospital‐based cross‐sectional study performed in a tertiary care hospital for a period of three months from June‐August wherein the cell population data of cases of malaria, dengue, leptospirosis, typhoid and rickettsial infections along with equal number of healthy controls were collected and analysed. Effectiveness of leucocyte‐related volume (V), conductivity (C) and scatter (S) parameters by Coulter?DXH800 haematology analyser in predicting these infections was appraised. Results A total of 324 cases comprising of malaria (50%), dengue (30.9%), leptospirosis (13.9%), typhoid (4.0%) and rickettsial infections (1.2%) were included. There was statistically significant differences ( P ?0.05) in the mean values of complete blood count parameters—haemoglobin, total leucocyte count, red blood cell count, haematocrit, red cell distribution width, differential leucocyte count, platelet count and plateletcrit between cases and controls and also between specific infections. The mean volumes of neutrophil, monocyte and lymphocyte were considerably increased in malaria and dengue fever compared to leptospirosis, typhoid and rickettsial infections. VCS parameters were the least altered in typhoid fever, except for a strikingly high conductivity and scatter of eosinophils. Conclusions Haematological analysis is a part of routine evaluation of any case of febrile illness. This study showed that there are specific alterations in VCS parameters in different types of infections such as malaria, dengue, leptospira, typhoid and rickettsia, the information and analysis of which comes without any additional cost.
机译:在印度介绍,传染病是发病率和死亡率的主要可治疗原因。 Mangalore对许多载体传播疾病的流行,他们的发病率是众所周知的季节性季节性变化,季风急剧增加。白细胞在感染的免疫发病机制中具有重要作用。方法本系列是一项基于医院的横断面研究,在八月八月的三个月内进行了一项基于医院的横断面研究,其中疟疾,登革热病,腹膜症病例,伤寒和人力症感染的细胞群数据以及平等的细胞群数据收集和分析健康对照数量。有效的白细胞相关体积(V),电导率(C)和散射参数的有效性评估了预测这些感染的DXH800血液学分析仪。结果共324例,包括疟疾(50%),登革热(30.9%),胸螺膜血管症(13.9%),吐曲调(4.0%)和人力杆菌感染(1.2%)。完全血液计数参数的平均值存在统计学上显着的差异(P& 0.05) - 血红蛋白,总白细胞计数,红细胞计数,血细胞比容,红细胞分布宽度,血小录胞细胞计数,血小板计数和血小板之间和对照以及特定感染之间。与钩螺旋体血管病变,伤寒和人力人的感染相比,疟疾和登革热的均值增加的嗜中性粒细胞,单核细胞和淋巴细胞。 VCS参数在伤寒发烧中最少改变,除了一个尖锐的高导电性和嗜酸性粒细胞的散射。结论血液学分析是对任何发热性疾病的常规评价的一部分。该研究表明,不同类型感染的VCS参数有特异性改变,如疟疾,登革热,百眼端,伤寒和Rickettsia,其信息和分析没有任何额外的成本。

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