背景:这项研究评估了炎症生物标志物的潜力,特别是中性粒细胞与淋巴细胞比率(NLR)和血小板与淋巴细胞比率(PLR),用于癫痫发作后早期发现高CK血症。应对延迟高CK血症诊断的挑战,会升级为横纹肌溶解症,这项研究强调使用这些可获取的生物标志物.
方法:回顾性地进行,2022年10月1日和2023年10月1日的数据是从电子病历中提取的。在单变量分析(选择的P值<0.05)后,采用Spearman秩相关和二元logistics回归分析高CK血症与各种临床变量之间的关系。受试者工作特征曲线(ROCs)定义了癫痫相关的高CK血症的临界值。
结果:在98例癫痫患者中,31人(31.63%)发展为高CK血症。白细胞的显著差异,中性粒细胞,CRP,高CK组与正常CK组比较,NLR水平差异有统计学意义(P<0.05)。白细胞,NLR,和CRP与高CK血症相关,显示优势比为1.24(95%CI:1.11-1.39,P<0.001),1.03(95%CI:1.01-1.05,P=0.001),和1.22(95%CI:1.09-1.35,P=0.017)。白细胞的最佳临界值为9.78×10^9/L,CRP为32.40mg/L,NLR为7.35。
结论:白细胞水平升高,CRP,癫痫发作后的NLR是高CK血症风险的有力指标,对加强临床决策和患者护理策略具有重要意义。
BACKGROUND: This study evaluates the potential of inflammatory biomarkers, especially the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), for early detection of
hyperCKemia after seizures. Addressing the challenge of delayed
hyperCKemia diagnosis, which can escalate to rhabdomyolysis, this research emphasizes the use of these accessible biomarkers.
METHODS: Conducted retrospectively, data from October 1, 2022, and October 1, 2023, were extracted from electronic medical records. Following univariate analysis (P-value < 0.05 for selection), Spearman\'s rank correlation and binary logistics regression were employed to examine the relationship between hyperCKemia and various clinical variables. Receiver operating characteristic curves (ROCs) defined the cut-off values for seizure-related hyperCKemia.
RESULTS: Among 98 seizure patients, 31 (31.63 %) developed
hyperCKemia. Notable differences in leukocytes, neutrophils, CRP, and NLR levels were observed between
hyperCKemia and normal CK groups (P < 0.05). Leukocytes, NLR, and CRP correlated with
hyperCKemia, exhibiting odds ratios of 1.24 (95 % CI: 1.11-1.39, P < 0.001), 1.03 (95 % CI: 1.01-1.05, P = 0.001), and 1.22 (95 % CI: 1.09-1.35, P = 0.017). The optimal cut-off values were established as 9.78 × 10^9/L for leukocytes, 32.40 mg/L for CRP, and 7.35 for NLR.
CONCLUSIONS: Elevated levels of leukocytes, CRP, and NLR post-seizure are strong indicators of hyperCKemia risk, with significant implications for enhancing clinical decision-making and patient care strategies.