Kontorinis Georgios, Crowther John A, Iliodromiti Stamatina, Taylor William A S, Locke Richard
*Department of Otolaryngology, Queen Elizabeth University Hospital †School of Medicine, Glasgow University ‡Department of Neurosurgery, Institute of Neurosciences, Queen Elizabeth University Hospital, Glasgow, U.K.
Otol Neurotol. 2016 Jun;37(5):580-5. doi: 10.1097/MAO.0000000000001026.
To examine the predictive value of neutrophil to lymphocyte ratio (NLR) for vestibular schwannoma (VS) growth.
Retrospective case-control study.
Tertiary, referral center.
Patients with sporadic VS and available NLR obtained within 1 year from the diagnosis were divided into two groups with growing or non-growing tumor. Patients with known conditions affecting NLR were excluded.
NLR and tumor growth as determined by linear measurements on serial magnetic resonance imaging.
VS growth, demographic factors, and NLR were compared using multi-variant logistic regression and Receiver Operating Characteristic (ROC) curve analysis.
A total of 161 patients fulfilled the inclusion criteria, 79 with growing VS (men:women ratio = 43:36, mean age, 61.8 years) and 82 with non-growing tumors (men:women ratio = 37:45, mean age, 64.9 years). Mean NLR for the group with growing VS was 3.34 (SD [standard deviation] = 1.5) and 2.31 (SD = 0.76) for the group with non-growing VS (p = 0.001; 0.03 when adjusted for all parameters). The optimal cut-off point was NLR = 3.05 with positive predictive value 83.8% and 100% for NLR greater than 5.3. ROC analysis of the adjusted data for age, sex, and side, gave an area under the curve of 0.768, indicating NLR as a good independent predictive marker. Interestingly, the size of tumor was statistically significantly higher for the growing VS group (p = 0.001).
Despite the low specificity of low NLR, our results indicate high NLR as a good predictive marker for VS growth. Confirmation by prospective studies will have a significant impact on patients' management.
探讨中性粒细胞与淋巴细胞比值(NLR)对前庭神经鞘瘤(VS)生长的预测价值。
回顾性病例对照研究。
三级转诊中心。
散发性VS患者,且在确诊后1年内获得可用的NLR,根据肿瘤是否生长分为两组。排除已知影响NLR的疾病患者。
通过对系列磁共振成像进行线性测量来确定NLR和肿瘤生长情况。
使用多变量逻辑回归和受试者工作特征(ROC)曲线分析比较VS生长情况、人口统计学因素和NLR。
共有161例患者符合纳入标准,79例VS生长患者(男女比例=43:36,平均年龄61.8岁)和82例肿瘤未生长患者(男女比例=37:45,平均年龄64.9岁)。VS生长组的平均NLR为3.34(标准差[SD]=1.5),VS未生长组为2.31(SD=0.76)(p=0.001;调整所有参数后为0.03)。最佳截断点为NLR=3.05,阳性预测值为83.8%,NLR大于5.3时为100%。对年龄、性别和患侧的调整后数据进行ROC分析,曲线下面积为0.768,表明NLR是一个良好的独立预测指标。有趣的是,VS生长组的肿瘤大小在统计学上显著更高(p=0.001)。
尽管低NLR的特异性较低,但我们的结果表明高NLR是VS生长的良好预测指标。前瞻性研究的证实将对患者的管理产生重大影响。