Pimentel, SP, Shiota R, Cirano FR, Casarin RCV, Pecorari VGA, Casati MZ, Haas AN, Ribeiro FV.
2018.
Occurrence of peri-implant diseases and risk indicators at the patient and implant levels: A multilevel cross-sectional study, Sep. J Periodontol. 89:1091-1100., Number 9
AbstractBACKGROUND: High prevalence rates of peri-implant diseases have been reported; however, the lack of standardization of definition criteria has lead to variations in the observed estimates. In addition, scarce data are available concerning patient and implant related factors associated to peri-implantitis. The aim of this study was to determine the prevalence of peri-implant diseases and their risk indicators at the patient and implant levels. METHODS: One hundred forty-seven patients with 490 dental implants were included. Dental implants were clinically and radiographically evaluated to determine their peri-implant conditions. Patient-related conditions and implant and prosthetic-related factors were recorded. Multivariable Poisson regression was fitted and prevalence ratios (PR) were reported. RESULTS: 85.3% of implants (95%CI 80.2 to 90.4) had mucositis and 9.2% (95%CI 4.7 to 13.7) had peri-implantitis. 80.9% (95%CI 73.8 to 86.8), and 19.1% (95%CI 12.6 to 25.5) of patients had mucositis and peri-implantitis. At the patient level, it was observed an increased probability of peri-implantitis in individuals with pocket depths >/=6 mm (PR = 2.47) and with >/=4 implants (PR = 1.96). Smoking increased the probability of peri-implantitis by three times (PR = 3.49). The final multilevel Poisson regression model at the implant level indicated that platform switching reduced the probability of peri-implantitis (PR = 0.18) and implants in function for >/=5 years increased this probability (PR = 2.11). The final model including patient and implant level indicators demonstrated that higher time of function (PR = 2.76) and smoking (PR = 6.59) were associated with peri-implantitis. CONCLUSION: Peri-implant diseases are highly prevalent in the studied sample, and factors associated with the occurrence of peri-implantitis were presence of pockets >/=6 mm, smoking, time of function, and type of platform.
Saffi, MAL, Rabelo-Silva ER, Polanczyk CA, Furtado MV, Montenegro MM, Ribeiro IWJ, Kampits C, Rosing CK, Haas AN.
2018.
Periodontal therapy and endothelial function in coronary artery disease: A randomized controlled trial, Oct. Oral Dis. 24:1349-1357., Number 7
AbstractOBJECTIVE: To assess the effects of periodontal treatment on endothelial function in patients with coronary artery disease. MATERIALS AND METHODS: A randomized controlled trial was conducted with 69 patients with stable coronary disease and severe periodontitis. The test group received nonsurgical periodontal therapy consisting of personalized oral hygiene instructions, subgingival scaling, and root planing per quadrant, whereas the control group received equal treatment after the study period. Endothelial function was assessed by measurement of brachial artery flow-mediated dilation, concentrations of sVCAM-1, sICAM-1, and P-selectin in serum before and 3 months after periodontal therapy. RESULTS: The test group exhibited statistically better periodontal parameters-plaque, probing depth, periodontal attachment loss, and bleeding on probing. No significant improvements were observed in the control (1.37%) and test (1.39%) groups in flow-mediated dilation, with no significant between-group difference. sVCAM-1 concentration increased in the control group (997.6 +/- 384.4-1201.8 +/- 412.5; p = 0.03), whereas in the test group, no significant changes were observed (915.1 +/- 303.8-1050.3 +/- 492.3; p = 0.17), resulting in a significant difference between the two groups (p = 0.04). The same pattern was observed for concentrations of sICAM-1. CONCLUSION: Periodontal treatment did not provide better vasodilation in patients with coronary disease in a short-term follow-up period, although it maintained blood concentrations of markers of vascular inflammation.
Martello, AR, Kotzian CB, Erthal F.
2018.
{The role of topography, river size and riverbed grain size on the preservation of riverine mollusk shells}, mar. Journal of Paleolimnology. 59:309–327., Number 3
AbstractThe degree to which a group of fossils reflects the original community from which it was derived can be estimated by comparing living communities with locally accumulated dead remains. Such live–dead approaches (LA/DA) can provide important baseline information on the ecological structure of ancient freshwater systems. This study explored variations in composition, richness, evenness and rank-abundance in live and dead mollusk assemblages recovered from the Ibicuí River Basin, southern Brazil. LA/DA was related to topography, river size, and sediment grain size, separated respectively into plain (altitude 0–100 m) versus slope (100–500 m), small versus medium-large stream orders, and gravel versus sand substrate. Positive correlation between LA and DA species composition was significant only in large rivers. Slope areas showed LA/DA species compositions that were significantly different, whereas the communities from sand and gravel substrates were quite similar. Important factors that affected live/dead similarity in the study area included (1) destruction of thin, fragile shells of dead animals by acidic waters that are common in the region, (2) downstream drift of small spherical shells from species common in slope areas, such as Potamolithus sp., and (3) high abundances of invasive species in the local death assemblage, especially in large rivers. High fidelity in large rivers is caused by the presence of favorable habitats for bivalve communities. Coarse sediments are an important driver of macro invertebrate diversity, acting as shell traps that slow the downstream drift of bivalve remains and improve the preservation of fluvial mollusks. The preservation potential of dead assemblages of the Ibicuí River showed that fossil assemblages are useful tools for recognizing ancient riverscapes, such as flat areas with sandy substrates.
Pinto, J, Goergen J, Muniz F, Haas AN.
2018.
Vitamin D levels and risk for periodontal disease: A systematic review, Jun. J Periodontal Res. 53:298-305., Number 3
AbstractOBJECTIVE: To evaluate the existing evidence supporting or refuting the following questions: (i) Do patients with lower vitamin D levels have higher risk for periodontal disease? (ii) Are periodontal treatment outcomes improved by the adjuvant supplementation of vitamin D or by elevated serum vitamin D levels? MATERIAL AND METHODS: MEDLINE, SCOPUS, EMBASE and Cochrane Central Register of Controlled Trials (CENTRAL) databases were searched up to September 2017. Studies were included if they had measured serum vitamin D levels or vitamin D intake and any periodontal parameter. RESULTS: Overall, 27 studies were included (13 cross-sectional studies, 6 case-control studies, 5 cohort studies, 2 randomized clinical trials and 1 case series study). Sixty-five percent of the cross-sectional studies reported significant associations between low vitamin D levels and poor periodontal parameters. None of the observational longitudinal studies found that periodontal disease progression could be attributed to lower vitamin D levels. No interventional studies that evaluated the use of vitamin D supplementation as a solely adjuvant to periodontal treatment was found. No meta-analysis was performed due to high variability across studies. CONCLUSION: The data to support or refute the association between vitamin D levels and periodontal disease are inconclusive at the moment. More rigorously designed longitudinal studies with standardized definitions of periodontal disease and vitamin D are necessary.
Boeira, E, Bordignon V, Eckhard D, Campestrini L.
2018.
Comparing MIMO Process Control Methods on a Pilot Plant, Aug. Journal of Control, Automation and Electrical Systems. 29:411–425., Number 4
AbstractThis work presents a comparison among three different control strategies for multivariable processes. The techniques were implemented in a pilot plant with coupled control loops, where all steps used to design the controllers were described allowing to establish a trade-off between algorithm complexity, information needed from the process and achieved performance. Two data-driven control techniques are used: multivariable ultimate point method to design a decentralized PID controller and virtual reference feedback tuning to design a centralized PID controller. A mathematical model of the process is obtained and used to design a model-based generalized predictive controller. Experimental results allow us to evaluate the performance achieved for each method, as well as to infer on their advantages and disadvantages.