Penttala Miika, Sorsa Timo, Thomas Julie Toby, Grigoriadis Andreas, Sakellari Dimitra, Gupta Shipra, Pärnänen Pirjo, Pätilä Tommi, Räisänen Ismo T
Department of Oral and Maxillofacial Diseases, Head and Neck Center, University of Helsinki and Helsinki University Hospital, 00290 Helsinki, Finland.
Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden.
Diagnostics (Basel). 2025 Jan 27;15(3):296. doi: 10.3390/diagnostics15030296.
In this study, we describe a method by which a patient can independently assess their own periodontitis risk, for example, at home, with a mobile application. The aim of the study is to use active matrix metalloproteinase aMMP-8 mouth rinse cut-off 20 ng/mL point-of-care testing (POCT) and a polynomial function to reveal patients' statistical risk of periodontitis. The polynomial function presented in this study was modeled with multiple logistic regression and the function estimates the risk of periodontitis using a probability measure. To investigate variables associated with periodontitis, we used data from adult patients visiting dental clinics in Thessaloniki, Greece. The research results revealed that with appropriate information it is possible to obtain sufficient accuracy about a patient's potential risk of periodontitis. The function for estimating risk of periodontitis is PERIORISK = (1 + e), where X1 = aMMP-8 test result and tobacco smoking status, X2 = age × waist circumference and X3 = patient's individual and parental history of diabetes. The prediction of periodontitis risk using an aMMP-8 test and a polynomial function seems to be a useful, non-invasive, safe-to-use and cost-effective tool for all people. Overall, in the model created, mouth rinse cut-off 20 ng/mL aMMP-8 test result, age, waist circumference, tobacco smoking status and patient's individual and parental history of diabetes were found to be good factors explaining the risk of periodontitis.
在本研究中，我们描述了一种方法，通过该方法患者可以独立评估自身患牙周炎的风险，例如在家中使用移动应用程序进行评估。本研究的目的是利用活性基质金属蛋白酶aMMP - 8漱口水临界值20 ng/mL即时检验（POCT）和一个多项式函数来揭示患者患牙周炎的统计风险。本研究中呈现的多项式函数是通过多元逻辑回归建模的，该函数使用概率度量来估计患牙周炎的风险。为了研究与牙周炎相关的变量，我们使用了来自希腊塞萨洛尼基牙科诊所成年患者的数据。研究结果表明，有了适当的信息，就有可能对患者患牙周炎的潜在风险获得足够的准确性。用于估计牙周炎风险的函数为PERIORISK = (1 + e)，其中X1 = aMMP - 8检测结果和吸烟状况，X2 = 年龄×腰围，X3 = 患者个人及家族糖尿病史。使用aMMP - 8检测和多项式函数预测牙周炎风险似乎对所有人来说都是一种有用的、非侵入性的、使用安全且具有成本效益的工具。总体而言，在创建的模型中，漱口水aMMP - 8检测结果临界值20 ng/mL、年龄、腰围、吸烟状况以及患者个人及家族糖尿病史被发现是解释牙周炎风险的良好因素。
