Impact of Prosthetic Material and Restoration Type on Peri-Implant Bone Resorption: A Retrospective Analysis in a Romanian Sample.

Background/Objectives: This research investigates the nuanced factors influencing peri-implant bone resorption in implant-supported fixed prostheses, with a focus on age, gender, implant location, time since prosthetic loading, and material characteristics. Methods: Records from a dental clinic in Oradea, Romania, between 1 January 2017 and 1 January 2023, were scrutinized and were selected by means of purposive sampling. All records were analyzed between 1 May 2023 and 15 June 2023. A total of 160 implants were included, and the prosthetic restorations were either metal-ceramic or zirconia. Implants from a single manufacturer were used, and a standardized loading protocol was followed. The study examined variables such as age, gender, implant location, prosthetic material, and time since prosthetic loading. Results: A total of 160 implants were included, with 78 applied to female patients (48.8%) and 82 to male patients (51.2%). The age range of the patients undergoing dental implant procedures was 30 to 79 years. Implants were distributed between the mandible (51.2%) and maxilla (48.8%), with 49.4% placed in the posterior dental arches and 50.6% in the anterior dental arches. The majority of patients received metal-ceramic prosthetic reconstructions (76.9%). Statistical analysis revealed significant differences in resorption patterns between zirconia and metal-ceramic restorations (p < 0.001), with zirconia restorations exhibiting higher resorption in the mesial-vertical and distal-vertical planes compared to metal-ceramic restorations. Age-related factors showed a significant association with distal-vertical resorption (p = 0.017), with patients aged 60-69 years exhibiting higher resorption values compared to those aged 40-49 years. Gender differences were observed in mesial-horizontal resorption (p = 0.036), with male patients displaying higher resorption values compared to female patients. Implant location and time elapsed since implant loading did not show significant associations with resorption patterns. Conclusions: The study provides insights into the multifactorial nature of peri-implant resorption. Age, gender, and material characteristics contribute to variations, informing personalized treatment approaches. The findings facilitate a comprehensive understanding for clinicians, enhancing treatment planning and post-operative care.

To What Extent Does Cardiovascular Risk Classification of Patients with Type 2 Diabetes Differ between European Guidelines from 2023, 2021, and 2019? A Cross-Sectional Study.

Background and Objectives: Type 2 Diabetes (T2DM) is intricately associated with an increased cardiovascular (CV) risk, highlighting the imperative for tailored intervention in the prevention and management of CV diseases. To assess the CV risk and subsequent interventions in patients with diabetes, the European Society of Cardiology (ESC) has been consistently developing and updating specific guidelines for risk assessment and patient management since 2019. The 2023 risk classification method has significantly changed, introducing a novel probability-based assessment through the implementation of SCORE2-Diabetes instrument. This marks a shift from the risk factor-based classification employed in the 2019 and 2021 methods, representing an innovative approach in risk assessment for individuals with T2DM. This study aims to evaluate the differences in the CV risk classification among hospitalized patients with T2DM using the three proposed methods within the Romanian population, a European population considered to be at very high cardiovascular risk. Materials and Methods: in a consecutive-case, population-based study design, 70 patients hospitalized with T2DM from a European population characterized by very high CV risk were assessed for CV risk using the three proposed methods. The differences between these classifications were subsequently analyzed. Results: In the study group, according to 2023 classification, one patient (1.4%) was classified with moderate CV risk, eight (11.4%) with high cardiovascular risk, and sixty-one (87.2%) with very high cardiovascular risk. A total of 36 patients (51.4%) were classified differently compared to 2021 criteria, the differences being statistically significant (p = 0.047), while 13 (18.6%) were different compared to 2019 criteria, the differences being statistically non-significant (p = 0.731). By comparing the 2021 to the 2019 ESC Guidelines recommendations, 40 patients had a one-step decrease in cardiovascular risk category, from very high to high risk. Conclusions: Most patients included in the analysis were classified as very high CV risk (87.2%). Within a European population characterized by very high CV risk, the SCORE2-Diabetes instrument proves to be a valuable tool, contributing to most step-ups in CV risk classes within the 2023 classification. In a very-high-risk demographic, the 2023 algorithm resulted in different classifications in contrast to the 2021 method but similar classifications observed with the 2019 method.

Trifluridine/tipiracil as a therapeutic option in real life setting of metastatic colorectal cancer: An efficacy and safety analysis.

Background: In the phase III RECOURSE trial, the orally administered combination trifluridine/tipiracil (FTD/TPI) demonstrated a survival benefit and an acceptable safety profile, earning approval as a third-line therapy in metastatic colorectal cancer (mCRC). This study aimed to assess the efficacy and safety of FTD/TPI in daily clinical practice in Romanian population. Methods: A single-center, retrospective, and observational study analyzed patients with mCRC that received chemotherapy with trifluridine/tipiracil between May 2019 and May 2022 at the Oncology Institute Prof. Dr. Ion Chiricuța in Cluj-Napoca, Romania. Study endpoints included safety, and median progression-free survival (PFS). Results: In this Romanian cohort (n = 50) the most common treatment-emergent adverse event was haematological toxicity (76%): anemia (50%), leucopenia (38%), neutropenia (34%), and thrombocytopenia (30%), followed by fatigue (60%), and abdominal pain (18%). Overall, the median progression-free survival was 3.85 months (95% CI: 3.1-4.6 months). PFS was significantly correlated with the number of FTD/TPI administrations and prior surgery. Conclusion: Our study corroborated the previously described safety profile for FTD/TPI in the third-line setting, and demonstrated relatively superior mPFS.

An Epidemiological Study on the Prevalence of the Clinical Features of SARS-CoV-2 Infection in Romanian People.

The aim of this study was to investigate the prevalence of the clinical features of the SARS-CoV-2 infection in Romanian population through a novel online survey. The survey included categorical socio-demographic and health-related variables. A total of 1830 participants were selected for statistical data processing (a response rate of 90.9%). We determined reasonable reliability of the survey section for clinical features of SARS-CoV-2 infection (Cronbach's Alpha 0.671). Two meaningful dimensions were identified through CATPCA (Categorical Principal Component Analysis) for the survey's items. We separated two significant clusters of items, each measuring a distinct factor: the sociodemographic characteristics linked to social distancing and the relevant clinical features of SARS-CoV-2 infection. Next, a two-step cluster analysis helped to classify the sample group taking into consideration the similarity of subjects. The clustering revealed a three-cluster solution, with significant differences between clusters and allowed the cluster detection of a group of individuals, possibly more affected by the infection with the SARS-CoV-2 virus. Through binomial logistic regression analysis, we identified a statistically significant prediction model for the presumptive diagnostic of some relevant clinical features of SARS-CoV-2 infection. Our study validated a cost-effective model for rapid assessment of the health status of subjects, adapted to the context of SARS-CoV-2 pandemic.

CARDIOVASCULAR RISK ASSESSMENT IN THE ADULT (AGED 40-79 YEARS) ROMANIAN POPULATION.

Atherosclerotic Cardiovascular Diseases are the leading cause of death worldwide. AIM: To estimate the prevalence of cardiovascular risk (CVR) categories in the adult population (aged 40-79 years) of Romania. DESIGN: The present study was part of the epidemiological, cross-sectional PREDATORR study (PREvalence of DiAbeTes mellitus, prediabetes, overweight, Obesity, dyslipidemia, hyperuricemia and chronic kidney disease in Romania). SUBJECTS AND METHODS: Exclusion criteria: age <40/or>79 years old and diagnosis of ischemic vascular disease. The CVR was evaluated using charts developed by the World Health Organization/ International Society of Hypertension (WHO/ISH) available for Europe B (epidemiological sub-region where Romania was included). The CVR was divided into 5 categories: <10%, 10-20%, 20-30%, 30-40%, > 40%. RESULTS: A total of 1631 subjects (57.0±10.7 years, 45.1% males) were included in the present study.The age and sex-adjusted prevalence of CVR >40% was 2.9% (95%CI 2.8-3.1%), CVR 30-40% was 1.85% (95%CI 1.8-1.9%), CVR 20-30% was 5.8% (95%CI 5.6-6.0%) and 13.0% (95%CI 12.8-13.3%) of the adult Romanian population has a 10-20% CVR, these CVR categories being more frequent in male and older age. Diabetes, overweight/obesity and smoking were associated with high CVR categories. CONCLUSION: Romania is one of the countries with high CVR, requiring CVD prevention measures.

Combined glutathione S transferase M1/T1 null genotypes is associated with type 2 diabetes mellitus.

BACKGROUND: Due to new genetic insights, a considerably large number of genes and polymorphic gene variants are screened and linked with the complex pathogenesis of type 2 diabetes (DM). Our study aimed to investigate the association between the two isoforms of the glutathione S-transferase genes (Glutathione S transferase isoemzyme type M1- GSTM1 and Glutathione S transferase isoemzyme type T1-GSTT1) and the prevalence of DM in the Northern Romanian population. METHODS: We conducted a cross-sectional, randomized, case-control study evaluating the frequency of GSTM1 and GSTT1 null alleles in patients diagnosed with DM. A total of 106 patients diagnosed with DM and 124 healthy controls were included in the study. GSTM1 and GSTT1 null alleles genotyping was carried out using Multiplex PCR amplification of relevant gene fragments, followed by gel electrophoresis analysis of the resulting amplicons. RESULTS: Molecular analysis did not reveal an increased frequency of the null GSTM1 and GSTT1 alleles (mutant genotypes) respectively in the DM group compared to controls (p=0.171, OR=1.444 CI=0.852-2.447; p=0.647, OR=0.854, CI=0.436-1.673). Nevertheless, the combined GSTM1/GSTT1 null genotypes were statistically significantly higher in DM patients compared to control subjects (p=0.0021, OR=0.313, CI=0.149-0.655). CONCLUSIONS: The main finding of our study is that the combined, double GSTM1/GSTT1 null genotypes are to be considered among the polymorphic genetic risk factors for type 2 DM.

Genetic polymorphism data on 15 autosomal STR markers in a Western Romanian population sample.

The allelic frequency distribution and statistical genetic parameters of forensic relevance for 15 STR loci (D8S1179, D21S11, D7S820, CSF1PO, D3S1358, TH01, D13S317, D16S539, Penta E, Penta D, vWA, TPOX, D18S51, D5S818 and FGA) in a population sample of 336 non-related individuals residing in the Western part of Romania are presented.

Prediction of the mesiodistal size of unerupted canines and premolars for a group of Romanian children: a comparative study

Objectives The aim of the present study was to develop an optimization method of multiple linear regression equation (MLRE), using a genetic algorithm to determine a set of coefficients that minimize the prediction error for the sum of permanent premolars and canine dimensions in a group of young people from a central area of Romania represented by a city called Sibiu. Material and Methods To test the proposed method, we used a multiple linear regression equation derived from the estimation method proposed by Mojers, to which we adjusted regression coefficients using the Breeder genetic algorithm. A total of 92 children were selected with complete permanent teeth with no clinically visible dental caries, proximal restorations or orthodontic treatment. A hard dental stone was made for each of these models, which was then measured with a digital calliper. The Dahlberg analyses of variance had been performed to determine the error of method, then the Correlation t Test was applied, and finally the MLRE equations were obtained using the version 16 for Windows of the SPSS program. Results The correlation coefficient of MLRE was between 51-67% and the significance level was set at α=0.05. Comparing predictions provided by the new and respectively old method, we can conclude that the Breeder genetic algorithm is capable of providing the best values for parameters of multiple linear regression equations, and thus our equations are optimized for the best performance. Conclusion The prediction error rates of the optimized equations using the Breeder genetic algorithm are smaller than those provided by the multiple linear regression equations proposed in the recent study. .