Article Summary
赵 辉,柴治国,张 铁,安志国,屈铁军.龈沟液CRP、IL-17、RANKL与种植体周围炎患者牙周临床指标的相关性分析及其联合检测对治疗后预后的评估价值[J].现代生物医学进展英文版,2022,(18):3558-3562.
龈沟液CRP、IL-17、RANKL与种植体周围炎患者牙周临床指标的相关性分析及其联合检测对治疗后预后的评估价值
Correlation Analysis of Gingival Crevicular Fluid CRP, IL-17, RANKL and Periodontal Clinical Indicators in Patients with Peri-Implantitis and Evaluation Value of Their Combined Detection for Prognosis after Treatment
Received:April 04, 2022  Revised:April 28, 2022
DOI:10.13241/j.cnki.pmb.2022.18.030
中文关键词: 种植体周围炎  CRP  IL-17  RANKL  牙周指标  预后  龈沟液
英文关键词: Peri-implantitis  CRP  IL-17  RANKL  Periodontal indicators  Prognosis  Gingival crevicular fluid
基金项目:陕西省重点研发计划项目(2021KW-61)
Author NameAffiliationE-mail
赵 辉 武警陕西省总队医院口腔科 陕西 西安 710086 15309213835@163.com 
柴治国 西安雅贝康口腔医院口腔科 陕西 西安 710001  
张 铁 西安雅贝康口腔医院口腔科 陕西 西安 710001  
安志国 西安雅贝康口腔医院口腔科 陕西 西安 710001  
屈铁军 西安雅贝康口腔医院口腔科 陕西 西安 710001  
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中文摘要:
      摘要 目的:分析龈沟液C反应蛋白(CRP)、白细胞介素-17(IL-17)及核因子-kB受体活化因子配体(RANKL)与种植体周围炎(PI)患者牙周临床指标的相关性及探讨其联合检测对治疗后预后的评估价值。方法:选取2018年1月~2022年1月我院收治的80例PI患者,记作炎症组。另取同期种植体健康患者80例作为健康组。检测并比较两组龈沟液CRP、IL-17及RANKL水平,牙周临床指标。并以Pearson相关性分析龈沟液CRP、IL-17及RANKL与牙周临床指标的相关性。此外,将所有PI患者按照急性生理学与慢性健康状况评分Ⅱ(APACHE Ⅱ)评分的差异分为预后良好组27例与预后不良组53例,比较两组龈沟液CRP、IL-17及RANKL水平。通过受试者工作特征(ROC)曲线分析上述三项指标联合预测PI患者治疗后预后不良的效能。结果:炎症组龈沟液CRP、IL-17及RANKL水平均高于健康组(均P<0.05)。炎症组改良牙龈指数(mGI)、改良龈沟出血指数(mSBI)评分以及探诊深度(PD)均高于健康组(均P<0.05)。经Pearson相关性分析发现,龈沟液CRP、IL-17及RANKL水平与mGI、mSBI评分及PD均呈正相关关系(均P<0.05)。预后不良组龈沟液CRP、IL-17及RANKL水平均高于预后良好组(均P<0.05)。经ROC曲线分析发现,龈沟液CRP、IL-17及RANKL联合预测PI患者治疗后预后不良的曲线下面积(0.95CI)为0.851(0.752~0.944),优于上述三项指标单独预测。结论:龈沟液CRP、IL-17及RANKL与PI患者mGI、mSBI评分以及PD均密切相关,检测三指标有助于评估患者病情及治疗后预后。
英文摘要:
      ABSTRACT Objective: To analyze the correlation between gingival crevicular fluid C-reactive protein (CRP), interleukin-17 (IL-17), receptor activator of NF-KB ligand (RANKL) and periodontal clinical indicators in patients with peri-implantitis (PI) and to explore the evaluation value of combined detection for prognosis after treatment. Methods: 80 patients with PI who were admitted to our hospital from January 2018 to January 2022 were selected as the inflammation group. Another 80 healthy implant patients in the same period were selected as the healthy group. The levels of gingival crevicular fluid CRP, IL-17 and RANKL and periodontal clinical indicators were measured and compared between the two groups. Pearson correlation was used to analyze the correlation between gingival crevicular fluid CRP, IL-17, RANKL and periodontal clinical indicators. In addition, all patients with PI were divided into good prognosis group with 27 cases and poor prognosis group with 53 cases according to the difference between acute physiology and chronic health status score II (APACHE II). The levels of gingival crevicular fluid CRP, IL-17 and RANKL were compared between the two groups. Through the receiver operating characteristic (ROC) curve, the efficacy of the above three indicators combined to predict the poor prognosis of patients with PI after treatment was analyzed. Results: The levels of gingival crevicular fluid CRP, IL-17 and RANKL in inflammatory group were higher than those in healthy group (all P<0.05). The scores of modified gingival index (mGI), modified gingival sulcus bleeding index (mSBI) and probing depth (PD) in the inflammatory group were higher than those in the healthy group (all P<0.05). Pearson correlation analysis showed that the levels of gingival crevicular fluid CRP, IL-17 and RANKL were positively correlated with mGI, mSBI scores and PD (all P<0.05). The levels of gingival crevicular fluid CRP, IL-17 and RANKL in the poor prognosis group were higher than those in the good prognosis group (all P<0.05). The ROC curve analysis showed that the area under the curve (0.95CI) of gingival crevicular fluid CRP, IL-17 and RANKL combined to predict the poor prognosis of patients with PI after treatment was 0.851 (0.752 ~ 0.944), which was better than the above three indicators alone. Conclusion: The gingival crevicular fluid CRP, IL-17 and RANKL are closely related to mGI, mSBI scores and PD in patients with PI. The detection of these three indicators is helpful to evaluate the patient's condition and prognosis after treatment.
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