[Scientific activity in the dental extraction and oral surgery division of the George Eastman Hospital in 1982-83: results and comments].
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Adult↗
Biomedical subjects
B Ruggeri
Publications and source records attributed to B Ruggeri.
[The X-ray fluorescence (XRF) spectrometry of biomaterials used in dentistry. 2].
In this work we analyze the following biomaterial: biomaterials used in this study are: reabsorbable Dac Blu, non reabsorbable Dac Blu, non reabsorbable atomized Dac Blu, non reabsorbable thin Dac Blu, reabsorbable Biocoral 450, Calcitite 2040-12, Orthogel, Apagen, BTF 65, Calcitite 4060-2, Osprogel, Bio-Oss, Biostite, Osprovit, Merck Hydroxiapatite. The quantitative XRF analysis was performed by a Philips PW 1480 with Rh tube. This research, besides underlining the possibility of applying the XRF method to the analysis of biomaterials. This study, shows the facility and the rapidity in the preparation of samples and standards in the form of tablets to undergo the analysis: furthermore the study shows the possibility of verify the analysis on the same sample in the future, because the tablet if well conserved, does not deteriorate. We can also verify a good analytic accuracy both for the principal elements (Ca, P) and for trace elements. The analyses show a moderate variability in the Ca/P ratio in the hydroxylapatites, and a greater variability in the secondary and trace elements.
Biocompatible Materials↗
[Family history and risk of insulin-dependent diabetes mellitus: a population-based case-control study].
Insulin-dependent diabetes mellitus (IDDM) is a worldwide occurrence disease of childhood with genetic, environmental and familial risk factors. Our study aims to evaluate family history as a determinant of IDDM. In a population-based case-control study informations on all incident IDDM cases, age 0-14, diagnosed between January 1st 1990 and December 31st 1996 were taken from the IDDM population-based register of the Abruzzo Region. The control group was taken from the lists of children attending family paediatricians. The family history data collection for IDDM and non insulin-dependent diabetes (NIDDM) were obtained by a questionnaire, administered to parents. Risk of IDDM associated with familiarity in first and second degree relatives was estimated using conditional regression analysis. Our results show that the risk of developing IDDM is increased by positive family history (OR = 3.99; 95% c.i. 1.56-10.23). The risk of IDDM for children whose fathers or brothers are affected by IDDM is respectively 11 and 20 times higher than for children with no family history. Family history for NIDDM does not influence the risk.
Adolescent↗