In-dental-office screening for diabetes mellitus using gingival crevicular blood. 2002

T Beikler, and A Kuczek, and G Petersilka, and T F Flemmig
Clinic of Periodontology, Westfalian Wilhelm University, Münster, Germany. beikler@uni-muenster.de

BACKGROUND Diabetes mellitus (DM) is undiagnosed in approximately 1/2 of the patients actually suffering from the disease. In addition, the prevalence of DM is more than 2x as high in patients with periodontitis when compared to periodontally healthy subjects. Thus, a high number of patients with periodontitis may have undiagnosed DM. OBJECTIVE The purpose of this pilot study was to evaluate, whether blood oozing from gingival tissues during routine periodontal examination can be used for determining glucose levels. 32 non-diabetic and 13 diabetic patients with moderate to severe periodontitis were enrolled and subjected to routine clinical periodontal examination. Periodontal pocket probing was performed using a standard force. Blood oozing from gingival tissues of anterior teeth following periodontal pocket probing was collected with the stick of a glucose self-monitoring device (Elite(R) 2000, Bayer Diagnostics GmbH, Munich). As control, fingerstick capillary blood was taken. Statistical analysis was performed by Pearson's correlation coefficient. RESULTS The patient blood glucose levels ranged from 3.57 mmol/l to 18.01 mmol/l and the values of blood samples taken from gingiva or finger tip showed a very high intrapatient correlation (r=0.98; p<0.0001). CONCLUSIONS The results suggested that blood oozing during routine periodontal examination may be used for diabetes mellitus screening in a dental office setting.

UI MeSH Term Description Entries
D008297 Male Males
D008403 Mass Screening Organized periodic procedures performed on large groups of people for the purpose of detecting disease. Screening,Mass Screenings,Screening, Mass,Screenings,Screenings, Mass
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D010512 Periodontal Index A numerical rating scale for classifying the periodontal status of a person or population with a single figure which takes into consideration prevalence as well as severity of the condition. It is based upon probe measurement of periodontal pockets and on gingival tissue status. Bleeding on Probing, Gingival,CPITN,Community Periodontal Index of Treatment Needs,Gingival Bleeding on Probing,Gingival Index,Gingival Indexes,Periodontal Indexes,Gingival Indices,Index, Gingival,Index, Periodontal,Indexes, Gingival,Indexes, Periodontal,Indices, Gingival,Indices, Periodontal,Periodontal Indices
D010518 Periodontitis Inflammation and loss of connective tissues supporting or surrounding the teeth. This may involve any part of the PERIODONTIUM. Periodontitis is currently classified by disease progression (CHRONIC PERIODONTITIS; AGGRESSIVE PERIODONTITIS) instead of age of onset. (From 1999 International Workshop for a Classification of Periodontal Diseases and Conditions, American Academy of Periodontology) Pericementitis,Pericementitides,Periodontitides
D010865 Pilot Projects Small-scale tests of methods and procedures to be used on a larger scale if the pilot study demonstrates that these methods and procedures can work. Pilot Studies,Pilot Study,Pilot Project,Project, Pilot,Projects, Pilot,Studies, Pilot,Study, Pilot
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D001786 Blood Glucose Glucose in blood. Blood Sugar,Glucose, Blood,Sugar, Blood
D003920 Diabetes Mellitus A heterogeneous group of disorders characterized by HYPERGLYCEMIA and GLUCOSE INTOLERANCE.
D005260 Female Females

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