脑膜炎细菌评分(MBS)作为成人急性细菌性脑膜炎诊断指标的准确性

Narra J Pub Date : 2021-12-01 DOI:10.52225/narra.v1i3.66
Imas R. Palupi, Paulus Sugianto
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引用次数: 3

摘要

细菌性脑膜炎仍然是一种世界范围的威胁,导致高死亡率和发病率,区分细菌性脑膜炎和无菌性脑膜炎是改善管理和结果的关键。因此,本研究旨在评估细菌性脑膜评分(BMS)作为早期诊断急性细菌性脑膜炎的工具。本研究采用回顾性横断面方法,使用2018年1月至2021年9月在Dr. Soetomo医院住院的脑膜炎和脑膜脑炎患者的医疗记录。收集人口统计学、临床、实验室和脑脊液(CSF)资料及培养。评价BMS诊断急性细菌性脑膜炎的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)、阳性似然比(LR +)和阴性似然比(LR -)。共包括128名被诊断患有脑膜炎和脑膜脑炎的患者。在所有患者中,53例经脑脊液培养确诊为急性细菌性脑膜炎。截断值>2.5的BMS诊断急性细菌性脑膜炎的敏感性为92.4%,特异性为92.0%,其中PPV为89.1%,NPV为94.5%。BMS诊断急性细菌性脑膜炎的曲线下面积(AUC)为95.6% (95%CI: 92.3%, 99%)。BMS评分大于2.5表示急性细菌性脑膜炎的可能性很高,而低于2.5表示可能性很低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy of Meningitis Bacterial Score (MBS) as an indicator in establishing the diagnosis of acute bacterial meningitis in adults
Bacterial meningitis persists as a worldwide threat contributing to high mortality and morbidity rate, where differentiating bacterial meningitis from aseptic meningitis is key for better management and outcomes. Hence, this study aimed to assess the Bacterial Meningeal Score (BMS) as a tool for early diagnosis of acute bacterial meningitis. This study employed a retrospective cross-sectional method using medical records of patients with meningitis and meningoencephalitis who were hospitalized at Dr. Soetomo Hospital, from January 2018 to September 2021. Data of demographics, clinical, laboratory and cerebrospinal fluid (CSF) profile and culture were collected. The diagnostic performance of the BMS in diagnosing acute bacterial meningitis was evaluated by its sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR +) and negative likelihood ratio (LR -). A total of 128 patients who had been diagnosed with meningitis and meningoencephalitis were included. Out of total patients, 53 samples were diagnosed with acute bacterial meningitis as confirmed by CSF culture. The sensitivity and specificity of BMS with cutoff >2.5 in diagnosing acute bacterial meningitis were 92.4% and 92.0%, respectively with PPV 89.1% and NPV 94.5%. The area under the curve (AUC) of BMS in diagnosing of acute bacterial meningitis was 95.6% (95%CI: 92.3%, 99%). A BMS score of greater than 2.5 indicates a high likelihood of acute bacterial meningitis, whereas a score less than 2.5 indicates a low likelihood.
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