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Abstract：
OBJECTIVE: The objective of this study was to investigate the effectiveness of testing for active matrix metalloproteinase-8 (aMMP-8) by a quantitative point-of-care (PoC), chairside lateral flow immunotest and azurocidin, in the peri-implant sulcular fluid (PISF), as biomarkers for the presence or absence of peri-implant diseases.
BACKGROUND: Current research indicates that proinflammatory cytokines and extracellular matrix-degrading enzymes may be of value to diagnose and predict peri-implant disease initiation and progression, but more data are needed.
METHODS: Eighty patients with implants were recruited. PISF samples were collected and quantitatively analyzed for aMMP-8 (chairside) and azurocidin with ELISA. Radiographic assessments and clinical indices (probing depth, probing attachment level, bleeding on probing, and plaque) were recorded after sampling. Kruskal-Wallis test and pairwise post hoc Dunn-Bonferroni test were used to relate aMMP-8 levels and azurocidin levels to clinical parameters. The diagnostic ability of aMMP-8 (ng/mL) and azurocidin was analyzed by receiver operator curve analysis. Area under the curve (AUC) was calculated and the Spearman\'s rho, and the coefficient of determination (R2) were used to calculate the correlations between aMMP-8, azurocidin, and periodontal parameters.
RESULTS: Statistically significant differences were observed for aMMP-8 levels but not for azurocidin between healthy implants, implants with mucositis, and those with peri-implantitis (13.65 ± 7.18, 32.33 ± 21.20, and 73.07 ± 43.93 ng/mL, respectively), (Kruskall-Wallis test p < .05). The aMMP-8 test with a threshold of 20 ng/mL has a sensitivity of 71.7% and a specificity of 77.8% to identify peri-implantitis and healthy implants, respectively. AUC was found to be 0.814, and the accuracy of the method reaches 73.8%. Above a cutoff value of 33.7 ng/mL of aMMP-8, the accuracy of the test to detect peri-implantitis reaches 77.5% in relation to 62.5% of BoP from the same site.
CONCLUSIONS: Taken collectively, present data indicate that the aMMP-8 PoC lateral flow immunotest can be a beneficial, adjunctive diagnostic quantitative tool for real-time screening for peri-implant diseases.
BACKGROUND: Current research indicates that proinflammatory cytokines and extracellular matrix-degrading enzymes may be of value to diagnose and predict peri-implant disease initiation and progression, but more data are needed.
METHODS: Eighty patients with implants were recruited. PISF samples were collected and quantitatively analyzed for aMMP-8 (chairside) and azurocidin with ELISA. Radiographic assessments and clinical indices (probing depth, probing attachment level, bleeding on probing, and plaque) were recorded after sampling. Kruskal-Wallis test and pairwise post hoc Dunn-Bonferroni test were used to relate aMMP-8 levels and azurocidin levels to clinical parameters. The diagnostic ability of aMMP-8 (ng/mL) and azurocidin was analyzed by receiver operator curve analysis. Area under the curve (AUC) was calculated and the Spearman\'s rho, and the coefficient of determination (R2) were used to calculate the correlations between aMMP-8, azurocidin, and periodontal parameters.
RESULTS: Statistically significant differences were observed for aMMP-8 levels but not for azurocidin between healthy implants, implants with mucositis, and those with peri-implantitis (13.65 ± 7.18, 32.33 ± 21.20, and 73.07 ± 43.93 ng/mL, respectively), (Kruskall-Wallis test p < .05). The aMMP-8 test with a threshold of 20 ng/mL has a sensitivity of 71.7% and a specificity of 77.8% to identify peri-implantitis and healthy implants, respectively. AUC was found to be 0.814, and the accuracy of the method reaches 73.8%. Above a cutoff value of 33.7 ng/mL of aMMP-8, the accuracy of the test to detect peri-implantitis reaches 77.5% in relation to 62.5% of BoP from the same site.
CONCLUSIONS: Taken collectively, present data indicate that the aMMP-8 PoC lateral flow immunotest can be a beneficial, adjunctive diagnostic quantitative tool for real-time screening for peri-implant diseases.
摘要：
目的：本研究的目的是研究通过定量护理点（PoC）检测活性基质金属蛋白酶-8（aMMP-8）的有效性，椅旁侧流免疫检测和天黑素，在种植体周围沟液（PISF）中，作为存在或不存在种植体周围疾病的生物标志物。
背景：目前的研究表明，促炎细胞因子和细胞外基质降解酶可能对诊断和预测植入物周围疾病的发生和进展具有价值，但是需要更多的数据。
方法：招募了80名植入物患者。收集PISF样品，并用ELISA定量分析aMMP-8（椅子）和天青素。射线照相评估和临床指标(探测深度，探测附件级别，探查时出血,和斑块）在采样后记录。使用Kruskal-Wallis检验和配对事后Dunn-Bonferroni检验将aMMP-8水平和天黑素水平与临床参数联系起来。通过受试者操作曲线分析分析aMMP-8（ng/mL）和天青素的诊断能力。计算曲线下面积(AUC)和Spearman'srho,和决定系数(R2)用于计算aMMP-8、天青素、和牙周参数。
结果：观察到健康植入物之间的aMMP-8水平有统计学意义的差异，但天青素没有统计学意义。带有黏膜炎的植入物，种植体周围炎（13.65±7.18，32.33±21.20和73.07±43.93ng/mL，分别)，(Kruskall-Wallis检验p<.05)。阈值为20ng/mL的aMMP-8测试对识别种植体周围炎和健康植入物具有71.7％的灵敏度和77.8％的特异性，分别。AUC为0.814,方法准确度达到73.8%。高于33.7ng/mL的aMMP-8的截止值，检测种植体周围炎的测试准确性达到77.5％，相对于同一地点的62.5％的BoP。
结论：综合来看，目前的数据表明，aMMP-8PoC侧流免疫检测可以是有益的，用于实时筛查种植体周围疾病的辅助诊断定量工具。
背景：目前的研究表明，促炎细胞因子和细胞外基质降解酶可能对诊断和预测植入物周围疾病的发生和进展具有价值，但是需要更多的数据。
方法：招募了80名植入物患者。收集PISF样品，并用ELISA定量分析aMMP-8（椅子）和天青素。射线照相评估和临床指标(探测深度，探测附件级别，探查时出血,和斑块）在采样后记录。使用Kruskal-Wallis检验和配对事后Dunn-Bonferroni检验将aMMP-8水平和天黑素水平与临床参数联系起来。通过受试者操作曲线分析分析aMMP-8（ng/mL）和天青素的诊断能力。计算曲线下面积(AUC)和Spearman'srho,和决定系数(R2)用于计算aMMP-8、天青素、和牙周参数。
结果：观察到健康植入物之间的aMMP-8水平有统计学意义的差异，但天青素没有统计学意义。带有黏膜炎的植入物，种植体周围炎（13.65±7.18，32.33±21.20和73.07±43.93ng/mL，分别)，(Kruskall-Wallis检验p<.05)。阈值为20ng/mL的aMMP-8测试对识别种植体周围炎和健康植入物具有71.7％的灵敏度和77.8％的特异性，分别。AUC为0.814,方法准确度达到73.8%。高于33.7ng/mL的aMMP-8的截止值，检测种植体周围炎的测试准确性达到77.5％，相对于同一地点的62.5％的BoP。
结论：综合来看，目前的数据表明，aMMP-8PoC侧流免疫检测可以是有益的，用于实时筛查种植体周围疾病的辅助诊断定量工具。
