Long-term evaluation of teeth and implants during the periodic maintenance in patients with viral liver disease

Bone healing around titanium implants in a preclinical model of bile duct ligation-induced liver injury

Objectives

Chronic liver disease increases the risk for periodontal disease and osteoporotic fractures, but its impacts on bone regeneration remain unknown. Herein, we studied the impact of liver cirrhosis on peri‐implant bone formation.

Material and Methods

A total of 20 male Wistar rats were randomly divided into two groups: one with the common bile duct ligated (BDL) and the respective sham‐treated control group (SHAM). After four weeks of disease induction, titanium mini‐screws were inserted into the tibia. Successful induction of liver cirrhosis was confirmed by the presence of clinical symptoms. Another four weeks later, peri‐implant bone volume per tissue volume (BV/TV) and bone‐to‐implant contact (BIC) were determined by histomorphometric analysis.

Results

Peri‐implant bone formation was not significantly different between the SHAM and BDL groups. In the cortical compartment, the median percentage of peri‐implant new bone was 10.1% (95% CI of mean 4.0–35.7) and 22.5% (13.8–30.6) in the SHAM and BDL groups, respectively (p = .26). Consistently, the new bone in direct contact with the implant was 18.1% (0.4–37.8) and 23.3% (9.2–32.8) in SHAM and BDL groups, respectively (p = .38). When measuring the medullary compartment, the new bone area was 7.1% (4.8–10.4) and 10.4% (7.2–13.5) in the SHAM and BDL groups, respectively (p = .17). Medullary new bone in direct contact with the implant was 10.0% (1.2–50.4) and 20.6% (16.8–35.3) in SHAM and BDL groups, respectively, and thus comparable between the two groups (p = .46).

Conclusions

Bile duct ligation has no significant impact on the early stages of peri‐implant bone formation.

3-dimensional analysis about the effects of aging and risk factors on changes in oral environment

PURPOSE

The purpose of this study is to investigate the effects of aging and various risk factors on the oral environment and to analyze them in 3-dimensions.

MATERIALS AND METHODS

A total of 800 patients were enrolled in this study, and subjects were divided into 4 groups by age-under 55, 56 - 65, 66 - 75, and over 76. Based on their most recent visit, the number of crowns, bridges, implants, and the remaining natural teeth were recorded. Smoking habits, along with presence of diabetes and hypertension, were surveyed, as risk factors were also set as a variable. Comparisons among the groups or within the groups were performed by independent t-test, and one-way and two-way ANOVA. Kruskal-Wallis test and Mann-Whitney U test were used for analysis. It was assumed to be statistically significant when P value is below .05.

RESULTS

Changes in the number of crowns, bridges, implants, and the remaining natural teeth by age were statistically significant. When we examined the effect of risk factors on the change of variables with age, hypertension was found to affect the number of bridges. Diabetes and smoking were found to affect the number of the remaining natural teeth. The other variables were not statistically significant.

CONCLUSION

Aging is considered to be an important variable affecting the change of oral environment. Among the risk factors, the presence of smoking habit and diabetes is thought to have a great influence on the change of the number of the remaining natural teeth.

Peri-implant soft tissue status and crestal bone levels around adjacent implants placed in patients with and without type-2 diabetes mellitus: 6 years follow-up results

BACKGROUND

The long-term success and survival of dental implants type-2 diabetic subjects is debatable.

PURPOSE

The present 6 years' follow-up prospective clinical study compared the peri-implant soft tissue status and crestal bone loss (CBL) around adjacent implants placed among type-2 diabetic and nondiabetic subjects.

MATERIALS AND METHODS

Type-2 diabetic (Group-1) and nondiabetic individuals (Group-2) with adjacent dental implants were included. Hemoglobin A1c (HbA1c) levels were recorded; and a questionnaire was used to collect demographic information. Information regarding implant dimensions, duration in function, loading protocol, and type of restoration was recorded. Peri-implant bleeding-on-probing (BOP), plaque index (PI), probing depth (PD), and mesial and distal CBL were measured. P < .05 were considered statistically significant.

RESULTS

Eighty-six male participants (44 in Group-1 and 42 in Group-2) were included. The mean age of individuals in groups 1 and 2 were 57.6 ± 5.5 and 61.6 ± 4.3 years, respectively. In Group-1, the mean duration of type-2 diabetes was 10.1 ± 3.5 years. A family history of diabetes was more often reported by individuals in Group-1 than Group-2. In groups 1 and 2, 44 and 42 pairs of adjacent implants, respectively were placed in the regions of missing premolars and molars in both arches. All implants were delayed loaded and were fixed with non-splinted screw-retained restorations. In groups 1 and 2, tooth-brushing twice daily was reported by 79.5% and 85.7% individuals, respectively. There was no difference in peri-implant PI, BOP, PD, mesial and distal CBL and HbA1c levels among individuals in groups 1 and 2.

CONCLUSION

Adjacent implants can remain esthetically and functionally stable in type 2 diabetic patients in a manner similar to healthy individuals provided glycemic levels are strictly controlled and maintained.