Modelling changes in clinical attachment loss to classify periodontal disease progression.
Modelling changes in clinical attachment loss to classify periodontal disease progression.
复制标题
对临床附着丧失的变化进行建模，以对牙周病进展进行分类。
DOI：
10.1111/jcpe.12539
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发表时间：
2016
影响因子：
6.7
通讯作者：
Schifferle,Robe
中科院分区：
文献类型：
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作者：
Teles,Ricardo;Benecha,HabtamuK;Preisser,JohnS;Moss,Kevin;Starr,JacquelineR;Corby,Patricia;Genco,Robert;Garcia,Nathalia;Giannobile,WilliamV;Jared,Heather;Torresyap,Gay;Salazar,Elida;Moya,Julie;Howard,Cynthia;Schifferle,Robe
目的将线性混合模型(LMM)应用于临床附着丧失(CAL)的纵向测量，以确定牙周进展部位。方法对93例牙周健康受试者和236例牙周炎受试者进行为期12个月的双月CAL测量。对于每次访问，计算CAL从基线增加到指定阈值以上的站点的比例。还计算了从进展状态反转的位置的比例。LMM适用于每个牙齿部位，预测的CAL水平用于对牙齿部位的进展或退化进行分类。结果在12个月中，以CAL增加1、2和3 mm为阈值，分别有21.2%、2.8%和0.3%的部位进展。然而，平均而言，42.0%、64.4%和77.7%的不同阈值的进步站点在随后的访问中发生了逆转。相反，在LMM分类的进展点中，97.1%、76.9%和23.1%的进展点在12个月后CAL增加超过1、2和3 mm，而平均反转率分别为10.6%、30.2%和53.0%。结论LMM是CAL纵向测量的几个误差来源，为进展点分类提供了一种改进的方法。
AimThe goal of this study was to identify progressing periodontal sites by applying linear mixed models (LMM) to longitudinal measurements of clinical attachment loss (CAL).MethodsNinety‐three periodontally healthy and 236 periodontitis subjects had their CAL measured bi‐monthly for 12 months. The proportions of sites demonstrating increases in CAL from baseline above specified thresholds were calculated for each visit. The proportions of sites reversing from the progressing state were also computed. LMM were fitted for each tooth site and the predicted CAL levels used to categorize sites regarding progression or regression. The threshold for progression was established based on the model‐estimated error in predictions.ResultsOver 12 months, 21.2%, 2.8% and 0.3% of sites progressed, according to thresholds of 1, 2 and 3 mm of CAL increase. However, on average, 42.0%, 64.4% and 77.7% of progressing sites for the different thresholds reversed in subsequent visits. Conversely, 97.1%, 76.9% and 23.1% of sites classified as progressing using LMM had observed CAL increases above 1, 2 and 3 mm after 12 months, whereas mean rates of reversal were 10.6%, 30.2% and 53.0% respectively.ConclusionLMM accounted for several sources of error in longitudinal CAL measurement, providing an improved method for classifying progressing sites.