Schröder U, Edwardsson S
Department of Pedodontics, University of Lund, School of Dentistry, Malmö, Sweden.
Community Dent Oral Epidemiol. 1987 Dec;15(6):320-4. doi: 10.1111/j.1600-0528.1987.tb01744.x.
The aim was to study whether dietary habits, oral hygiene expressed as gingival status, and presence/absence of S. mutans and lactobacilli, singly or in combinations, could be used as caries predictors. Sensitivity, specificity and predictive values for positive (PV+) and negative tests (PV-) were calculated. 133 children, 3 yr of age, were examined for caries and presence/absence of S. mutans and lactobacilli. Three levels of gingival status and dietary habits, respectively, were registered. Two groups in respect of dietary habits and oral hygiene were formed by stepwise pooling of the caries data for the nine possible combinations of oral hygiene and dietary habits, setting the most discriminating border (screening level) where sensitivity (0.86) and specificity (0.69) simultaneously reached their highest value. PV + was 0.58 and PV- 0.91. Higher predictive values were obtained when presence/absence of lactobacilli and of S. mutans were combined. Combinations of defined levels of dietary habits, gingival status and presence/absence of lactobacilli showed sensitivity 0.87, specificity 0.95, PV + 0.87 and PV- 0.95, presence/absence of S. mutans sensitivity 0.94, specificity 0.76, PV + 0.74 and PV- 0.95. A two-step prediction, with gingival status as the first predictor and presence/absence of lactobacilli or S. mutans as the second, was the most efficient when lactobacilli were involved.
目的是研究饮食习惯、以牙龈状况表示的口腔卫生以及变形链球菌和乳酸杆菌的有无单独或联合起来是否可作为龋齿预测指标。计算了阳性试验(PV +)和阴性试验(PV -)的敏感性、特异性和预测值。对133名3岁儿童进行了龋齿检查以及变形链球菌和乳酸杆菌有无的检测。分别记录了三个水平的牙龈状况和饮食习惯。通过逐步汇总口腔卫生和饮食习惯九种可能组合的龋齿数据,形成了饮食习惯和口腔卫生方面的两组,在敏感性(0.86)和特异性(0.69)同时达到最高值的地方设定最具区分性的界限(筛查水平)。PV +为0.58,PV -为0.91。当乳酸杆菌和变形链球菌的有无联合起来时,可获得更高的预测值。特定水平的饮食习惯、牙龈状况与乳酸杆菌有无的组合显示敏感性为0.87,特异性为0.95,PV +为0.87,PV -为0.95;变形链球菌有无的组合显示敏感性为0.94,特异性为0.76,PV +为0.74,PV -为0.95。当涉及乳酸杆菌时,以牙龈状况作为第一个预测指标,乳酸杆菌或变形链球菌的有无作为第二个预测指标的两步预测最为有效。