Morou-Bermudez E, Loza-Herrero M A, Garcia-Rivas V, Suarez-Perez E, Billings R J
School of Dental Medicine, University of Puerto Rico Medical Sciences Campus, San Juan PR.
Graduate School of Public Health, University of Puerto Rico Medical Sciences Campus, San Juan PR.
JDR Clin Trans Res. 2017 Apr;2(2):132-141. doi: 10.1177/2380084416673049. Epub 2016 Oct 10.
The objective of this cross-sectional study was to clinically validate an array of biochemical tests for oral acid/alkali generation as caries screening instruments. 185 adult subjects (mean 33.6±10.6 years) were examined clinically for dental caries using the ICDAS criteria. Bitewing radiographs were used to confirm interproximal surfaces of posterior teeth. For the purposes of this study, subjects were classified as "caries-active" if they had at least one untreated caries lesion with ICDAS 4 or higher. Pooled supragingival plaque and unstimulated saliva samples were collected and assayed for pH changes from sucrose and urea metabolism using colorimetric tests. The validity of each test to discriminate between "caries-inactive" and "caries-active" subjects was assessed and compared to a commercial bacteriological caries-screening test using roc regression and logistic regression models. The AUCs of the plaque-urea (PU: 0.59 (0.51, 0.67)), plaque-urea-glucose (PUG: 0.59 (0.51, 0.67)) and saliva-urea-glucose (SUG: 0.59 (0.51, 0.67)) tests did not differ significantly from the bacteriological tests (CRT-mutans: 0.62 (0.54, 0.70); CRT-lactobacillus: 0.63 (0.56, 0.71) (P>0.05), but the plaque-glucose (SG), saliva-glucose (SG), saliva-urea (SU) and saliva-plaque-glucose (SPG) tests had significantly smaller AUCs (P<0.05). The AUCs for the PU, PUG, SUG, and the CRT-mutans tests were higher in subjects who had no existing dental restorations (PU: 0.90 (0.77, 1.04); PUG: 0.90 (0.79, 1.01); SUG: 0.89 (0.69, 1.08); CRT-mutans: 0.90 (0.73, 1.08)). The incorporation of the biochemical tests into a multidimensional bacteriological/psychosocial caries screening model significantly increased its diagnostic values (Se+Sp: 160.6, AUC: 0.846). In conclusion, as a proof of concept, the results of this study indicate that measuring the ability of dental plaque and saliva to metabolize urea together with the ability to generate acid from sugars may have a promising role in caries screening either independently, or as part of a multidimensional biological test.
这项横断面研究的目的是从临床角度验证一系列用于口腔酸/碱生成的生化检测,作为龋齿筛查工具。185名成年受试者(平均年龄33.6±10.6岁)按照国际龋病检测与评估系统(ICDAS)标准接受了龋齿临床检查。使用咬合翼片X光片来确认后牙的邻面。在本研究中,如果受试者有至少一处ICDAS分级为4级或更高的未治疗龋损,则被分类为“龋活跃”。收集龈上菌斑和非刺激性唾液样本,采用比色法检测蔗糖和尿素代谢引起的pH变化。评估每项检测区分“龋非活跃”和“龋活跃”受试者的有效性,并使用roc回归和逻辑回归模型与一种商业细菌学龋齿筛查检测进行比较。菌斑-尿素(PU:0.59(0.51,0.67))、菌斑-尿素-葡萄糖(PUG:0.59(0.51,0.67))和唾液-尿素-葡萄糖(SUG:0.59(0.51,0.67))检测的曲线下面积(AUC)与细菌学检测(变形链球菌CRT:0.62(0.54,0.70);乳酸杆菌CRT:0.63(0.56,0.71))相比无显著差异(P>0.05),但菌斑-葡萄糖(SG)、唾液-葡萄糖(SG)、唾液-尿素(SU)和唾液-菌斑-葡萄糖(SPG)检测的AUC显著更小(P<0.05)。在没有现有牙齿修复体的受试者中,PU、PUG、SUG和变形链球菌CRT检测的AUC更高(PU:0.90(0.77,1.04);PUG:0.90(0.79,1.01);SUG:0.89(0.69,1.08);变形链球菌CRT:0.90(0.73,~1.08))。将生化检测纳入多维细菌学/心理社会龋齿筛查模型显著提高了其诊断价值(敏感度+特异度:160.6,AUC:0.846)。总之,作为概念验证,本研究结果表明,测量牙菌斑和唾液代谢尿素的能力以及从糖类产生酸的能力,无论是单独使用还是作为多维生物学检测的一部分,在龋齿筛查中可能具有广阔前景。