Aygun Demet, Ibas Mustafa, Uzun Hafize
Department of Neurology, Faculty of Medicine, Istanbul Atlas University, 34408 Istanbul, Turkey.
Department of Otorhinolaryngology-Head and Neck Surgery, Faculty of Medicine, Istanbul Atlas University, 34408 Istanbul, Turkey.
J Clin Med. 2025 Sep 2;14(17):6194. doi: 10.3390/jcm14176194.
: We aimed to investigate the prognostic significance of hematological inflammatory indices and monocyte-to-high-density lipoprotein cholesterol ratio (MHR) in the diagnosis and prognosis of Bell's palsy. : The study included 156 cases diagnosed with Bell's palsy in the neurology clinic and 156 healthy controls. The patients diagnosed with Bell's palsy were staged according to the House-Brackmann Scoring system. Hematological inflammatory parameters such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) levels, and MHR were calculated from the parameters in the patient files. : Hematological inflammatory parameters such as NLR, PLR, SII, SIRI, and MHR were found to be higher in Bell's palsy patients. In addition, these parameters were found to be higher in patients with grade V and above Bell's palsy and in patients who did not respond to treatment, compared to the grade IV group and patients who responded to treatment, respectively. SIRI was an independent predictor of both the diagnosis of the disease and the lack of response to treatment, and this was confirmed by LASSO analysis. : This study is among the few that demonstrated predictive models based on hematological inflammatory indices that can aid in both the diagnosis and treatment response assessment of newly diagnosed Bell's palsy patients, validated using the LOOCV method. The findings highlight the potential clinical utility of simple, inexpensive, and practical biomarkers such as NLR, PLR, SII, SIRI, and MHR. These easily accessible parameters may support early diagnosis and prognostic evaluation in routine clinical settings.
我们旨在研究血液学炎症指标及单核细胞与高密度脂蛋白胆固醇比值(MHR)在贝尔面瘫诊断和预后中的预后意义。
该研究纳入了神经内科门诊确诊的156例贝尔面瘫患者及156例健康对照。根据House - Brackmann评分系统对确诊的贝尔面瘫患者进行分期。从患者病历中的参数计算血液学炎症参数,如中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、全身免疫炎症指数(SII)、全身炎症反应指数(SIRI)水平以及MHR。
结果发现,贝尔面瘫患者的NLR、PLR、SII、SIRI及MHR等血液学炎症参数较高。此外,与IV级组及治疗有反应的患者相比,V级及以上贝尔面瘫患者和治疗无反应的患者中,这些参数分别更高。SIRI是疾病诊断及治疗无反应的独立预测因子,这一点经LASSO分析得到证实。
本研究是少数基于血液学炎症指标展示预测模型的研究之一,该模型有助于新诊断贝尔面瘫患者的诊断及治疗反应评估,并采用留一法交叉验证。研究结果凸显了NLR、PLR、SII、SIRI及MHR等简单、廉价且实用的生物标志物的潜在临床应用价值。这些易于获取的参数可能在常规临床环境中支持早期诊断和预后评估。