Heji Esraa S, Bukhari Abdullah A, Bahammam Manal A, Homeida Lujain A, Aboalshamat Khalid T, Aldahlawi Salwa A
Dental Teaching Hospital, Umm Al-Qura University, Makkah, Saudi Arabia.
Department of Basic and Clinical Oral Sciences, Faculty of Dentistry, Umm Al-Qura University, Makkah, Saudi Arabia.
Eur J Dent. 2021 May;15(2):216-221. doi: 10.1055/s-0040-1719208. Epub 2020 Dec 7.
The study investigates whether periodontal parameters can identify subjects with undiagnosed diabetes mellitus (DM) or pre-DM in patients seeking dental treatment at a university dental hospital.
Adults older than 35 years, not being diagnosed with DM before and have at least one of the risk factors of DM were included in the study. All subjects received a complete periodontal examination, filled a medical history survey, and a fasting blood glucose measurement was obtained. A multiple logistic regression test using a backward elimination method to assess factors that predict if the participant is healthy, prediabetic or diabetic was done. A -value of <0.05 was considered significant.
A total of 61 subjects were enrolled with an average age of 42.9 ± 9.4 years. Having a family member diagnosed with DM was reported by 64.5% of the subjects; 59% were diagnosed with advanced periodontal disease. The final logistic regression model included smoking, hypertension, family history of DM, and percentage of clinical attachment loss >3 mm was statistically significant ( < 0.001). The model explained 47.7% of the diabetes condition and correctly classified 69.4% of cases. Participants with a family history of diabetes are 4.98 times more likely to exhibit prediabetic or diabetic status. Each unit increase in the percentage of clinical attachment loss increases the likelihood of participant to be prediabetic or diabetic by 1.104 times.
Dental patients presenting with severe clinical attachment loss and family history of DM have increased likelihood of undiagnosed DM or pre-DM and would benefit from screening at the dental office.
本研究调查牙周参数能否在大学牙科医院寻求牙科治疗的患者中识别出未被诊断出的糖尿病（DM）或糖尿病前期患者。
年龄大于35岁、之前未被诊断为DM且至少具有一项DM危险因素的成年人纳入本研究。所有受试者均接受了全面的牙周检查，填写了病史调查问卷，并进行了空腹血糖测量。采用向后剔除法进行多元逻辑回归测试，以评估预测参与者是否健康、糖尿病前期或糖尿病的因素。P值<0.05被认为具有统计学意义。
共纳入61名受试者，平均年龄为42.9±9.4岁。64.5%的受试者报告有家庭成员被诊断为DM；59%被诊断为重度牙周病。最终的逻辑回归模型包括吸烟、高血压、DM家族史以及临床附着丧失>3mm的百分比，具有统计学意义（P<0.001）。该模型解释了47.7%的糖尿病情况，正确分类了69.4%的病例。有糖尿病家族史的参与者出现糖尿病前期或糖尿病状态的可能性高4.98倍。临床附着丧失百分比每增加一个单位，参与者处于糖尿病前期或糖尿病状态的可能性增加1.104倍。
患有严重临床附着丧失和DM家族史的牙科患者未被诊断出DM或糖尿病前期的可能性增加，在牙科诊所进行筛查将受益。
