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作 者:罗伟[1] 樊元春[2] LUO Wei FAN Yuanchun(Otorhinolaryngology Head and Neck Surgery Department of Pathology, the First Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan 610500, China)
机构地区:[1]成都医学院第一附属医院耳鼻咽喉头颈外科,610500 [2]成都医学院第一附属医院病理科,610500
出 处:《检验医学与临床》2017年第15期2236-2238,共3页Laboratory Medicine and Clinic
摘 要:目的探讨组织嗜酸性粒细胞对鼻窦炎合并鼻息肉患者外科治疗后病情复发的预测效果。方法选取自2013年8月至2016年8月就诊于该院的148例鼻窦炎合并鼻息肉患者,对患者进行手术治疗并随访,将其分为复发组(88例)和非复发组(60例),根据患者的各项临床特征、嗜酸性粒细胞计数及多因素分析方法评价患者复发的影响因素。结果 88例患者术后出现鼻息肉复发,复发率为59.46%;复发组流涕、头面痛和嗅觉减退等症状评分显著高于非复发组,鼻息肉组织中嗜酸性粒细胞比例更高,而组织中性粒细胞百分比、浆细胞、淋巴细胞比例显著低于非复发组,差异均有统计学意义(P<0.05)。组织嗜酸性粒细胞增多是复发的危险因素(OR=1.16,P<0.001),且嗜酸性粒细胞浸润程度越深,鼻息肉越易复发。结论鼻息肉组织嗜酸性粒细胞增多对于鼻窦炎合并鼻息肉患者术后复发具有预测价值。Objective To explore the predictive effect of tissue eosinophil on the recurrence of patients with sinusitis and nasal polyps after surgery. Methods A total of 148 cases of sinusitis with nasal polyps were selected,who accepted surgical treatment and were follow-up in our hospital for treatment from August 2013 to August 2016. The patients were divided into relapse group(88 cases) and non-recurrence group(60 cases). And the clinical features of patients and multi factor analysis method were used for e- valuation the influencing factors of patients with recurrence. Results Totally 88 cases of patients with postoperative recurrence of nasal polyps,the recurrence rate were 59.46%. In relapse group,the scores of rhinorrhea,hurt of head and face,hyposmia and per- centage of tissue eosinophils were significantly higher than that of the non-recurrence group(P〈0.05), while the percentage of neu- trophile granulocyte, phlogocyte and leukomonocyte were significantly lower than that of the non-recurrence group(P〈0.05). High percentage of tissue eosinophils was the risk factors for the recurrence of nasal polyps(OR= 1.16 ,P〈0. 001) ,and more deeply the eosinophil infiltrated,the higher recurrence of nasal polyps. Conclusion Nasal polyps and the increased number of eosinophils in pa- tients with sinusitis and nasal polyps have predictive value, which will help to assess the prognosis of health care workers before surgery.
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