Julián-Jiménez A, Morales-Casado M I
Servicio de Urgencias, Complejo Hospitalario de Toledo, Toledo, España.
Servicio de Neurología, Complejo Hospitalario de Toledo, Toledo, España.
Neurologia (Engl Ed). 2019 Mar;34(2):105-113. doi: 10.1016/j.nrl.2016.05.009. Epub 2016 Jul 26.
The classic clinical presentation of bacterial meningitis (BM) is observed in less than half of the cases in adults, and symptoms are less specific in children, the elderly or immunocompromised, and other chronic patients. The usual signs and symptoms do not provide optimal sensitivity and specificity for distinguishing possible BM from viral meningitis (VM), which may lead to a delay in the appropriate antimicrobial therapy. Society therefore stands to benefit from the development of effective, objective, and rapid tools able to predict and identify patients with BM. These tools include laboratory tests for blood and cerebrospinal fluid (CSF). The aim of this review is to summarise recently published scientific evidence in order to clarify existing controversies and compare the usefulness and diagnostic ability of the different parameters used to predict BM.
Systematic search of the main bibliographic databases and platforms to identify articles published between January 2000 and January 2016. We selected 59 articles that meet the objectives of this review.
CSF lactate, proportion of polymorphonuclear leukocytes, and CSF glucose, as well as serum procalcitonin (PCT), are the independent factors most predictive of bacterial aetiology. The model that combines serum PCT and CSF lactate achieves the highest predictive power for BM, with a sensitivity and specificity exceeding 99%. We should consider BM when CSF lactate >33 md/dL and/or PCT>0.25ng/mL.
细菌性脑膜炎(BM)的典型临床表现仅见于不到半数的成年患者,而在儿童、老年人、免疫功能低下者及其他慢性病患者中,症状则缺乏特异性。常见的体征和症状在区分可能的BM与病毒性脑膜炎(VM)时,其敏感性和特异性并不理想,这可能导致适当抗菌治疗的延迟。因此,开发有效、客观且快速的工具来预测和识别BM患者,将使社会受益。这些工具包括血液和脑脊液(CSF)的实验室检查。本综述的目的是总结最近发表的科学证据,以澄清现有争议,并比较用于预测BM的不同参数的实用性和诊断能力。
系统检索主要的文献数据库和平台,以识别2000年1月至2016年1月期间发表的文章。我们选择了59篇符合本综述目标的文章。
脑脊液乳酸、多形核白细胞比例、脑脊液葡萄糖以及血清降钙素原(PCT)是最能预测细菌病因的独立因素。结合血清PCT和脑脊液乳酸的模型对BM具有最高的预测能力,敏感性和特异性超过99%。当脑脊液乳酸>33mg/dL和/或PCT>0.25ng/mL时,应考虑BM。