Assessment of Osstell ISQ's reliability for implant stability measurement: a cross-sectional clinical study.

UNLABELLED: Resonance frequency analysis (RFA) allows assess implant stability by measuring implant oscillation frequency on the bone. RFA is an objective and non-invasive method for implant stability measurement, although scarce evidence has been provided so far on its reliability. OBJECTIVE: Assess the Osstell ISQ system's reliability (i.e., its measurement reproducibility and repeatability) by means of the intraclass correlation coefficient (ICC) as statistical method. DESIGN OF THE STUDY: Two implant stability registers were completed by means of Osstell ISQ on 85 implants on 23 patients. Six measurements were completed on each implant by means of two different SmartPegs (types I and II); that is, three consecutive measurements with each transducer. RESULTS: Average ISQ was 72.40, 72.22 and 72.79, and 72.06, 72.59 and 72.82 in the first, second, and third measurements with SmartPegs I and II, respectively. Equal values or differences below three ISQ points were observed in 52.9% and 62.4% of the cases with SmartPegs I and II, respectively. The intraclass correlation coefficient was 0.97 for both SmartPegs, and repeatability and reproducibility also reached 0.97 for both SmartPegs. CONCLUSIONS: The RFA system Osstell ISQ presents almost perfect repeatability and reproducibility after intraclass correlation coefficient analysis. Osstell ISQ measurements are highly reliable regarding reproducibility. Therefore, one measurement proves enough.

Relation of periodontitis and metabolic syndrome with gestational glucose metabolism disorder.

BACKGROUND: Gestational diabetes mellitus (GDM) and metabolic syndrome have been related to periodontitis. This study's objective is to establish the relationship between them in pregnant women affected by gestational glucose metabolism disorder. METHODS: In 188 pregnant women with positive O'Sullivan test (POT) results, an oral glucose tolerance test (OGTT) was performed to diagnose GDM. The mother's periodontal parameters, age, prepregnancy weight and height and body mass index (BMI), blood pressure, gestational age, and birth weight were recorded at 24 to 28 weeks of pregnancy, as well as levels of glucose, C-reactive protein, triglycerides, glycated hemoglobin (HbA1c), and total, low-density lipoprotein, high-density lipoprotein (HDL), and very-low-density lipoprotein (VLDL) cholesterol levels. RESULTS: Prepregnancy weight, prepregnancy BMI, systolic and diastolic blood pressure, VLDL cholesterol, and glucose parameters were higher in GDM compared with POT (P <0.05). VLDL cholesterol, triglycerides, and 2-hour OGTT were higher in patients with periodontitis than in patients without periodontitis (P <0.05). HbA1c, triglycerides, and 1- and 2-hour OGTT were positively related with probing depth and clinical attachment level; blood glucose was related only to bleeding on probing (P <0.05). HbA1c, basal OGTT, and 1- and 2-hour OGTT were positively related to prepregnancy BMI and blood pressure; HDL cholesterol was negatively related to prepregnancy BMI; C-reactive protein was positively related to prepregnancy BMI and diastolic blood pressure (P <0.05). CONCLUSION: These data support the relationships among periodontal disease and some biochemical parameters such as lipid and glucose data in pregnancy, and also among metabolic syndrome and biochemical parameters.