Erdede Özlem, Sarı Erdal, Uyur Emek, Sezer Yamanel Rabia Gönül
Department of Pediatrics, Zeynep Kamil Maternity and Children's Disease Training and Research Hospital, University of Health Sciences, 34668 Istanbul, Turkey.
Department of Pediatric Neurology, Zeynep Kamil Maternity and Children's Disease Training and Research Hospital, University of Health Sciences, 34668 Istanbul, Turkey.
Children (Basel). 2023 Sep 24;10(10):1594. doi: 10.3390/children10101594.
With limited sample sizes and varying study outcomes regarding complete blood count (CBC)-associated biomarkers and their febrile seizure (FS) classification, along with limited research on osmolarity, this study aims to evaluate CBC-associated biomarkers, including osmolarity, for a comprehensive view of their diagnostic value. This single-center retrospective study used data from 364 children (aged 5-60 months) diagnosed with FS. The patients were categorized into simple FS ( = 221) and complex FS ( = 143) groups. CBC and biochemical tests, including sodium, potassium, chloride, glucose, blood urea nitrogen, and C-reactive protein levels, were evaluated. The neutrophil-to-lymphocyte ratio (NLR), mean platelet volume-to-lymphocyte ratio, and osmolarity were calculated and compared between FS types and the number of seizures. Receiver operating characteristic (ROC) curve analysis was conducted to assess the predictive utility of these markers. Inflammatory markers, including NLR, were ineffective in predicting FS types. Complex FS cases exhibited a significantly lower osmolarity than simple FS cases. The area under the ROC curve for osmolarity to distinguish complex FS was 0.754, while other markers did not reach the desired threshold of 0.700. Including osmolarity in the classification of FS has clinical applicability. Physicians may consider osmolarity as an additional tool to aid in clinical decision-making.
由于全血细胞计数（CBC）相关生物标志物及其热性惊厥（FS）分类的样本量有限且研究结果各异，同时关于渗透压的研究也有限，本研究旨在评估包括渗透压在内的CBC相关生物标志物，以全面了解其诊断价值。这项单中心回顾性研究使用了364名诊断为FS的儿童（年龄5 - 60个月）的数据。患者被分为单纯性FS组（n = 221）和复杂性FS组（n = 143）。评估了CBC和生化检查，包括钠、钾、氯、葡萄糖、血尿素氮和C反应蛋白水平。计算并比较了FS类型和癫痫发作次数之间的中性粒细胞与淋巴细胞比值（NLR）、平均血小板体积与淋巴细胞比值以及渗透压。进行了受试者操作特征（ROC）曲线分析以评估这些标志物的预测效用。包括NLR在内的炎症标志物在预测FS类型方面无效。复杂性FS病例的渗透压显著低于单纯性FS病例。用于区分复杂性FS的渗透压的ROC曲线下面积为0.754，而其他标志物未达到0.700的期望阈值。将渗透压纳入FS分类具有临床适用性。医生可将渗透压视为辅助临床决策的额外工具。
