Differentiating causes of febrile illness in Burkina Faso: data from an accuracy study comparing gold standard culture techniques with a haemocytometry based algorithm (IMS), procalcitonin (PCT) and C-reactive protein (CRP)

Different causes of acute febrile illness due to different infectious diseases (e.g. bacterial, viral malaria) may present with a similar clinical presentation. We performed a clinical diagnostic study to assess the diagnostic accuracy of a new tool - the Infection Manager System (IMS) - an algorithm which uses haemocytometric data to predict the cause of infection (e.g. bacterial, viral, malaria). The current dataset is a subset of data obtained during this study which was performed in a rural setting in Burkina Faso. The study was registered at ClinicalTrials.org under Identifier NCT02669823. All data used for the manuscript entitled \"Infection Manager System (IMS) as a new hemocytometry-based bacteremia detection tool: a diagnostic accuracy study in a malaria-endemic area of Burkina Faso\" are included in the current subset of data. To test the IMS we collected clinical and demographic data from approximately 900 patients aged between 3 months and 100 years presenting with an acu...不同传染病（如细菌性、病毒性、疟疾）引发的急性发热性疾病，其临床表现可能较为相似。我们开展了一项临床诊断研究，以评估一款新型工具——感染管理系统（Infection Manager System，IMS）——的诊断准确性，该系统是一类依托血细胞计数数据预测感染病因（细菌性、病毒性、疟疾）的算法。本数据集为该研究的子数据集，该项研究于布基纳法索的一处乡村地区开展。本研究已在ClinicalTrials.org完成注册，注册标识符为NCT02669823。题为《感染管理系统（IMS）：一款新型基于血细胞计数的菌血症检测工具——在布基纳法索疟疾流行区开展的诊断准确性研究》的学术论文所使用的全部数据，均收录于本数据集子集中。 为验证IMS的性能，我们从约900名年龄介于3个月至100岁、因急性[原文未完整表述]就诊的患者中收集了临床与人口统计学数据……