Ho Jacqueline, Hamizan Aneeza W, Alvarado Raquel, Rimmer Janet, Sewell William A, Harvey Richard J
1 Rhinology and Skull Base Research Group, St Vincent's Centre for Applied Medical Research, University of New South Wales, Sydney, Australia.
2 St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, Australia.
Am J Rhinol Allergy. 2018 Jul;32(4):252-257. doi: 10.1177/1945892418779451. Epub 2018 Jun 4.
Background Eosinophilic chronic rhinosinusitis (eCRS) is linked with skewed T-helper 2 or immunoglobulin E (IgE)-mediated allergic responses, with differing diagnosis, prognosis, and management to non-eCRS. Objective The association between biomarkers and eCRS was investigated to assess the predictors of eCRS. Methods A cross-sectional study of adult patients with chronic rhinosinusitis (CRS) undergoing endoscopic sinus surgery was conducted. eCRS was defined by histopathological assessment showing >10 eosinophils/high-power field on sinus mucosal biopsy. Blood tests were performed preoperatively and assessed for a full blood count including eosinophils and a white cell count (WCC) as well as biochemical markers of inflammation and atopy including Immunoglobulin E (IgE), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and ImmunoCAP testing for serum-specific IgE. Comparisons between eCRS and non-eCRS patients were performed. Results 345 patients (48.1% female, age 48.72 ± 15.06 years) were recruited, with 206 (59.7%) identified as eCRS, 41% with asthma and 47% CRS with nasal polyps. eCRS patients were more likely to have asthma ( P < .01) and nasal polyps ( P < .01). Blood eosinophils were significantly elevated in eCRS (0.42±0.34 vs 0.17±0.13 × 10/L, P < .01) as were eosinophils as a ratio of WCC (6.21 ± 4.48 vs 2.55 ± 1.84, P < .01). ESR was decreased when compared with non-eCRS (8.1±7.87 vs 10.65±11.91, P = .03). Receiver operating characteristic curve analysis predicted high tissue eosinophilia at blood eosinophil levels above 0.24 × 10/L (sensitivity 70.9%, specificity 78.4%, area under the curve [AUC]: 0.792, P < .01). eCRS was predicted at eosinophil above 4.27% of total WCC (sensitivity 64.1%, specificity 88.5%, AUC 0.797; P < .01; positive predictive value 89.2%, negative predictive value 62.4%, positive likelihood ratio 5.57, and diagnostic odds ratio 13.71). There was no significant association among WCC, CRP, IgE, or ImmunoCAP testing. Conclusion eCRS is associated with elevated blood eosinophils (>0.24 × 10/L), eosinophil ratio (>4.27% of total WCC), and lower ESR when compared with non-eCRS.
嗜酸性粒细胞性慢性鼻-鼻窦炎(eCRS)与T辅助细胞2型偏态或免疫球蛋白E(IgE)介导的过敏反应相关,其诊断、预后和治疗与非eCRS不同。目的:研究生物标志物与eCRS之间的关联,以评估eCRS的预测指标。方法:对接受鼻内镜鼻窦手术的成年慢性鼻-鼻窦炎(CRS)患者进行横断面研究。eCRS通过组织病理学评估定义,即鼻窦黏膜活检显示每高倍视野嗜酸性粒细胞>10个。术前进行血液检查,评估全血细胞计数,包括嗜酸性粒细胞和白细胞计数(WCC),以及炎症和特应性的生化标志物,包括免疫球蛋白E(IgE)、C反应蛋白(CRP)、红细胞沉降率(ESR),以及血清特异性IgE的免疫化学发光法检测。对eCRS和非eCRS患者进行比较。结果:共纳入345例患者(48.1%为女性,年龄48.72±15.06岁),其中206例(59.7%)被诊断为eCRS,41%合并哮喘,47%的CRS合并鼻息肉。eCRS患者更易合并哮喘(P<.01)和鼻息肉(P<.01)。eCRS患者的血液嗜酸性粒细胞显著升高(0.42±0.34对0.17±0.13×10⁹/L,P<.01),嗜酸性粒细胞占WCC的比例也显著升高(6.21±4.48对2.55±1.84,P<.01)。与非eCRS相比,ESR降低(8.1±7.87对10.65±11.91,P=.03)。受试者工作特征曲线分析预测,血液嗜酸性粒细胞水平高于0.24×10⁹/L时,组织嗜酸性粒细胞增多的可能性较高(敏感性70.9%,特异性78.4%,曲线下面积[AUC]:0.792,P<.01)。当嗜酸性粒细胞占总WCC的比例高于4.27%时,预测为eCRS(敏感性64.1%,特异性88.5%,AUC 0.797;P<.01;阳性预测值89.2%,阴性预测值62.4%,阳性似然比5.57,诊断比值比13.71)。WCC、CRP、IgE或免疫化学发光法检测之间无显著关联。结论:与非eCRS相比,eCRS与血液嗜酸性粒细胞升高(>0.24×10⁹/L)、嗜酸性粒细胞比例升高(>总WCC的4.27%)及ESR降低有关。