Ndako J A, Olisa J A, Ifeanyichukwu I C, Ojo S K S, Okolie C E
Department of Microbiology, Landmark University, Nigeria.
Department of Medical Services, Nigeria.
New Microbes New Infect. 2020 Oct 19;38:100795. doi: 10.1016/j.nmni.2020.100795. eCollection 2020 Nov.
Enteric fever is an invasive bacterial infection mostly caused by serovar Typhi, which is a common agent of enteric fever. This illness has been a major public health issue, as it affects a large number of individuals globally. The box-plot analytic method is involved in exploratory data analysis using statistical techniques to identify patterns that may be hidden in a group of numbers used to visually summarize and compare groups of data. We evaluted the effect of enteric fever on various haematologic parameters using the box-plot distribution model. Samples were obtained from 400 volunteer patients as well as healthy subjects (controls). Assay for typhoid fever was carried out using obtained serum samples to detect specific O and H antigens. Antibody titres of 1:80 and higher for anti-TO and 1:160 and higher for anti-TH antibodies were taken as cutoff values to indicate recent infection of typhoid fever. The haematologic parameters were evaluated using an automated haematology analyser. A statistically significant decrease was observed in packed cell volume, white blood cell count, erythrocyte sedimentation rate and haemoglobin concentration, while a statistically insignificant difference was observed in the neutrophils, lymphocytes and monocytes seen in the box-plot distribution analysis. Typhoid fever causes significant haematologic changes which could be helpful in diagnosis. The box-and-whisker plots compared the distributions of the haematologic parameters, spread and overall ranges. Awareness of these parameters could be useful in providing accurate diagnosis and therapy, particularly in underresourced endemic regions in developing countries.
伤寒是一种侵袭性细菌感染,主要由伤寒血清型引起,它是伤寒的常见病原体。这种疾病一直是一个重大的公共卫生问题,因为它在全球影响着大量人群。箱线图分析方法用于探索性数据分析,运用统计技术识别可能隐藏在一组数字中的模式,这些数字用于直观地汇总和比较数据组。我们使用箱线图分布模型评估了伤寒对各种血液学参数的影响。样本取自400名志愿患者以及健康受试者(对照组)。使用获得的血清样本进行伤寒检测,以检测特定的O和H抗原。抗TO抗体滴度为1:80及以上、抗TH抗体滴度为1:160及以上被作为截断值,以表明近期感染伤寒。使用自动血液分析仪评估血液学参数。观察到血细胞比容、白细胞计数、红细胞沉降率和血红蛋白浓度有统计学显著下降,而在箱线图分布分析中观察到中性粒细胞、淋巴细胞和单核细胞的差异无统计学意义。伤寒热会引起显著的血液学变化,这可能有助于诊断。箱须图比较了血液学参数的分布、离散程度和总体范围。了解这些参数可能有助于提供准确的诊断和治疗,特别是在发展中国家资源匮乏的流行地区。