Risk Factors for Failure of Direct Restorations in General Dental Practices

2020 ◽  
Vol 99 (9) ◽  
pp. 1039-1046 ◽  
Author(s):  
R.J. Wierichs ◽  
E.J. Kramer ◽  
H. Meyer-Lueckel
Keyword(s):  
Failure Rate ◽  
Treatment Decision ◽  
Class I ◽  
Failure Rates ◽  
Restorative Material ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Models ◽  
Dental Practices ◽  
Relevant Factors

The aim of this retrospective noninterventional multicenter practice-based study was to analyze factors influencing the survival of direct restorations. Records from patients who visited 5 private practices regularly were searched for the presence of direct restorations. Data were recorded from 7,858 patients with 27,407 direct restorations being detected at least 6 mo before the last recall visit. Multilevel Cox proportional hazard models were used to evaluate the association between clinical factors and time until failure. Within 228 mo, 5,493 failures could be observed. Median survival time was 207 mo. The annual failure rates were 3.8%, 4.0%, 4.6%, 4.9%, and 3.9% for class I, II, III, IV, and V restorations, respectively. Class II and IV restorations showed a 1.1-times (95% CI, 1.0 to 1.2) and 1.2-times (95% CI, 1.1 to 1.2) higher failure rate than class I restorations ( P ≤ 0.029). Patients aged <20 y and >60 y showed up to a 1.4-times higher failure rate than patients aged 20 to 60 y ( P ≤ 0.015). Restorations that underwent check-up twice a year or more showed a significantly higher failure rate than those that did so less than twice a year ( P < 0.001). Furthermore, the dentists significantly influenced time until failure ( P < 0.001). Regarding the restorative material, composites showed up to a 2.1-times longer time until failure than GIC ( P ≤ 0.020). Moderate failure rates were observed for direct restorations in the private practice setting after up to 18.5 y. Within the limitations of the present study, several factors on the levels of practice (i.e., dentist), patient (i.e., age), and tooth (i.e., restorative material, restored surfaces according to the classification of Black) were significant predictors for the failure rate. Therefore, treatment decision should take into account most relevant factors (German Clinical Trials Register DRKS00015228).

Electromigration and Electrochemical Reaction Mixed Failure Mechanism in Gold Interconnection System

1999 ◽  
Author(s):  
Hide Murayama ◽  
Makoto Yamazaki ◽  
Shigeru Nakajima
Keyword(s):  
Failure Mechanism ◽  
Failure Rate ◽  
Electrochemical Reaction ◽  
Dielectric Films ◽  
Failure Rates ◽  
Interlayer Dielectric ◽  
Bipolar Devices ◽  
Gold Metallization

Abstract Power bipolar devices with gold metallization experience high failure rates. The failures are characterized as shorts, detected during LSI testing at burn-in. Many of these shorted locations are the same for the failed devices. From a statistical lot analysis, it is found that the short failure rate is higher for devices with thinner interlayer dielectric films. Based upon these results, a new electromigration and electrochemical reaction mixed failure mechanism is proposed for the failure.

scholarly journals Periodontal Antibodies and All-Cause and Cardiovascular Disease Mortality

2019 ◽  
Vol 99 (1) ◽  
pp. 51-59 ◽  
Author(s):  
J. Qi ◽  
Z. Zihang ◽  
J. Zhang ◽  
Y.M. Park ◽  
D. Shrestha ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Igg Antibody ◽  
Actinomyces Naeslundii ◽  
Health And Nutrition ◽  
Cox Proportional Hazard ◽  
Disease Mortality ◽  
All Cause Mortality ◽  
Yellow Orange ◽  
Cox Proportional Hazard Models ◽  
Cvd Mortality

Periodontitis is positively linked to cardiovascular disease (CVD), diabetes, cancer, and increased mortality. Empirically derived clusters of IgG antibodies against 19 selected periodontal microorganisms have been associated with hyperglycemia. We further investigated associations between these serum IgG antibody clusters and all-cause and CVD mortality in a representative US population. Participants free of CVD and cancer and aged ≥40 y at baseline ( N = 6,491) from the Third National Health and Nutrition Examination Survey (1988 to 1994) were followed up until December 31, 2011. Antibodies were categorized into 4 clusters: red-green, orange-red, yellow-orange, and orange-blue. Over a 23-y follow-up, 2,702 deaths occurred, including 810 CVD-related deaths. In fully adjusted Cox proportional hazard models, the red-green cluster was positively associated with all-cause mortality (tertile 3 vs. tertile 1: hazard ratio [HR] = 1.43, 95% CI = 1.08 to 1.90, P = 0.015). The yellow-orange cluster was inversely associated with all-cause mortality (tertile 3 vs. tertile 1: HR = 0.78, 95% CI = 0.63 to 0.97, P = 0.028) and CVD mortality (tertile 2 vs. tertile 1: HR = 0.57, 95% CI = 0.42 to 0.77, P = 0.005). The orange-blue cluster (composed of antibodies against Eubacterium nodatum and Actinomyces naeslundii) was inversely associated with all-cause mortality (tertile 3 vs. tertile 1: HR = 0.65, 95% CI = 0.55 to 0.78, P < 0.0001) and CVD mortality (tertile 3 vs. tertile 1: HR = 0.65, 95% CI = 0.47 to 0.88, P = 0.007). These antibodies could predict prognosis or be potential intervention targets to prevent systemic effects of periodontal disease if further studies establish a causal relationship.

scholarly journals Height in Adolescence as a Risk Factor for Glioma Subtypes: a Nationwide Retrospective Cohort Study of 2.2 Million Subjects

2021 ◽  
Author(s):  
Roi Tschernichovsky ◽  
Lior H Katz ◽  
Estela Derazne ◽  
Matan Ben-Zion Berliner ◽  
Maya Simchoni ◽  
...  
Keyword(s):  
Risk Factor ◽  
Statistical Significance ◽  
Positive Association ◽  
High Grade Glioma ◽  
Low Grade ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Models ◽  
Glioma Risk ◽  
Incident Cases

Abstract Background Gliomas manifest in a variety of histological phenotypes with varying aggressiveness. The etiology of glioma remains largely unknown. Taller stature in adulthood has been linked with glioma risk. The aim of this study was to discern whether this association can be detected in adolescence. Methods The cohort included 2,223,168 adolescents between the ages of 16-19. Anthropometric measurements were collected at baseline. Incident cases of glioma were extracted from the Israel National Cancer Registry over a follow-up period spanning 47,635,745 person-years. Cox proportional hazard models were used to estimate the hazard ratio for glioma and glioma subtypes according to height, body mass index (BMI) and sex. Results 1,195 patients were diagnosed with glioma during the study period. Mean(SD) age at diagnosis was 38.1 (11.7) years. Taller adolescent height (per 10cm increase) was positively associated with the risk for glioma of any type (HR 1.15; p=0.002). The association was retained in subgroup analyses for low-grade glioma (HR 1.17; p=0.031), high-grade glioma (HR 1.15; p=0.025), oligodendroglioma (HR 1.31; p=0.015), astrocytoma (HR 1.12; p=0.049), and a category of presumed IDH-mutated glioma (HR 1.17; p=0.013). There was a trend towards a positive association between height and glioblastoma, however this had borderline statistical significance (HR: 1.15; p=0.07). After stratification of the cohort by sex, height remained a risk factor for men, but not for women. Conclusions The previously - established association between taller stature in adulthood and glioma risk can be traced back to adolescence. The magnitude of association differs by glioma subtype.

scholarly journals A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions

2021 ◽  
Author(s):  
Mei Sum Chan ◽  
Matthew Arnold ◽  
Alison Offer ◽  
Imen Hammami ◽  
Marion Mafham ◽  
...  
Keyword(s):  
Principal Components ◽  
Hospital Admissions ◽  
Later Life ◽  
Chronological Age ◽  
Uk Biobank ◽  
Hand Grip ◽  
Cox Proportional Hazard ◽  
Prediction Of Mortality ◽  
Age Related ◽  
Cox Proportional Hazard Models

Abstract Background Chronological age is the strongest risk factor for most chronic diseases. Developing a biomarker-based age and understanding its most important contributing biomarkers may shed light on the effects of age on later-life health and inform opportunities for disease prevention. Methods A subpopulation of 141 254 individuals healthy at baseline were studied, from among 480 019 UK Biobank participants aged 40–70 recruited in 2006–2010, and followed up for 6–12 years via linked death and secondary care records. Principal components of 72 biomarkers measured at baseline were characterized and used to construct sex-specific composite biomarker ages using the Klemera Doubal method, which derived a weighted sum of biomarker principal components based on their linear associations with chronological age. Biomarker importance in the biomarker ages was assessed by the proportion of the variation in the biomarker ages that each explained. The proportions of the overall biomarker and chronological age effects on mortality and age-related hospital admissions explained by the biomarker ages were compared using likelihoods in Cox proportional hazard models. Results Reduced lung function, kidney function, reaction time, insulin-like growth factor 1, hand grip strength, and higher blood pressure were key contributors to the derived biomarker age in both men and women. The biomarker ages accounted for &gt;65% and &gt;84% of the apparent effect of age on mortality and hospital admissions for the healthy and whole populations, respectively, and significantly improved prediction of mortality (p &lt; .001) and hospital admissions (p &lt; 1 × 10−10) over chronological age alone. Conclusions This study suggests that a broader, multisystem approach to research and prevention of diseases of aging warrants consideration.

scholarly journals LAMB1 Is Related to the T Stage and Indicates Poor Prognosis in Gastric Cancer

2021 ◽  
Vol 20 ◽  
pp. 153303382110049
Author(s):  
Tao Ran ◽  
ZhiJi Chen ◽  
LiWen Zhao ◽  
Wei Ran ◽  
JinYu Fan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
Hazard Models ◽  
Proportional Hazard ◽  
Kegg Analysis ◽  
Proportional Hazard Models ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Models ◽  
Gastric Cancer Patients

Background and Objective: Gastric cancer (GC) is a common tumor malignancy with high incidence and poor prognosis. Laminin is an indispensable component of basement membrane and extracellular matrix, which is responsible for bridging the internal and external environment of cells and transmitting signals. This study mainly explored the association of the LAMB1 expression with clinicopathological characteristics and prognosis in gastric cancer. Methods: The expression data and clinical information of gastric cancer patients were downloaded from The Cancer Genome Atlas (TCGA) and Asian Cancer Research Group (ACRG). And we analyzed the relationship between LAMB1 expression and clinical characteristics through R. CIBERSORTx was used to calculate the absolute score of immune cells in gastric tumor tissues. Then COX proportional hazard models and Kaplan-Meier curves were performed to evaluate the role of LAMB1 and its influence on prognosis in gastric cancer patients. Finally, GO and KEGG analysis were applied for LAMB1-related genes in gastric cancer, and PPI network was constructed in Cytoscape software. Results: In the TCGA cohort, patients with gastric cancer frequently generated LAMB1 gene copy number variation, but had little effect on mRNA expression. Both in the TCGA and ACRG cohorts, the mRNA expression of LAMB1 in gastric cancer tissues was higher than it in normal tissues. All patients were divided into high expression group and low expression group according to the median expression level of LAMB1. The elevated expression group obviously had more advanced cases and higher infiltration levels of M2 macrophages. COX proportional hazard models and Kaplan-Meier curves revealed that patients with enhanced expression of LAMB1 have a worse prognosis. GO/KEGG analysis showed that LAMB1-related genes were enriched in PI3K-Akt signaling pathway, focal adhesion, ECM-receptor interaction, etc. Conclusions: The high expression of LAMB1 in gastric cancer is related to the poor prognosis of patients, and it may be related to microenvironmental changes in tumors.

scholarly journals Predictors of outcome in pleomorphic xanthoastrocytoma

2020 ◽  
Author(s):  
Antonio Dono ◽  
Victor Lopez-Rivera ◽  
Ankush Chandra ◽  
Cole T Lewis ◽  
Rania Abdelkhaleq ◽  
...  
Keyword(s):  
Tumor Size ◽  
Postoperative Radiotherapy ◽  
Treatment Strategies ◽  
Pleomorphic Xanthoastrocytoma ◽  
Survival Outcomes ◽  
Factors Affecting ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Models ◽  
Male Patients

Abstract Background Pleomorphic xanthoastrocytomas (PXA) are circumscribed gliomas that typically have a favorable prognosis. Limited studies have revealed factors affecting survival outcomes in PXA. Here, we analyzed the largest PXA dataset in the literature and identify factors associated with outcomes. Methods Using the Surveillance, Epidemiology, and End Results (SEER) 18 Registries database, we identified histologically confirmed PXA patients between 1994 and 2016. Overall survival (OS) was analyzed using Kaplan-Meier survival and multivariable Cox proportional hazard models. Results In total, 470 patients were diagnosed with PXA (males = 53%; median age = 23 years [14-39 years]), the majority were Caucasian (n = 367; 78%). The estimated mean OS was 193 months [95% CI: 179-206]. Multivariate analysis revealed that greater age at diagnosis (≥39 years) (3.78 [2.16-6.59], P &lt; .0001), larger tumor size (≥30 mm) (1.97 [1.05-3.71], P = .034), and postoperative radiotherapy (RT) (2.20 [1.31-3.69], P = .003) were independent predictors of poor OS. Pediatric PXA patients had improved survival outcomes compared to their adult counterparts, in which chemotherapy (CT) was associated with worse OS. Meanwhile, in adults, females and patients with temporal lobe tumors had an improved survival; conversely, tumor size ≥30 mm and postoperative RT were associated with poor OS. Conclusions In PXA, older age and larger tumor size at diagnosis are risk factors for poor OS, while pediatric patients have remarkably improved survival. Postoperative RT and CT appear to be ineffective treatment strategies while achieving GTR confer an improved survival in male patients and remains the cornerstone of treatment. These findings can help optimize PXA treatment while minimizing side effects. However, further studies of PXAs with molecular characterization are needed.

scholarly journals Inflammatory and Hypercoagulable Biomarkers and Clinical Outcomes in COVID-19 Patients

2021 ◽  
Vol 10 (14) ◽  
pp. 3086
Author(s):  
Hiroki Kitakata ◽  
Shun Kohsaka ◽  
Shunsuke Kuroda ◽  
Akihiro Nomura ◽  
Takeshi Kitai ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Risk Estimation ◽  
Interquartile Range ◽  
Proportional Hazard ◽  
Multicenter Observational Study ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Models ◽  
Time Of Admission ◽  
Mortality Hazard Ratio ◽  
D Dimer

Systemic inflammation and hypercoagulopathy are known pathophysiological processes of coronavirus disease 2019 (COVID-19), particularly in patients with known cardiovascular disease or its risk factors (CVD). However, whether a cumulative assessment of these biomarkers at admission could contribute to the prediction of in-hospital outcomes remains unknown. The CLAVIS-COVID registry was a Japanese nationwide retrospective multicenter observational study, supported by the Japanese Circulation Society. Consecutive hospitalized patients with pre-existing CVD and COVID-19 were enrolled. Patients were stratified by the tertiles of CRP and D-dimer values at the time of admission. Multivariable Cox proportional hazard models were constructed. In 461 patients (65.5% male; median age, 70.0), the median baseline CRP and D-dimer was 58.3 (interquartile range, 18.2–116.0) mg/L and 1.5 (interquartile range, 0.8–3.0) mg/L, respectively. Overall, the in-hospital mortality rate was 16.5%, and the rates steadily increased in concordance with both CRP (5.0%, 15.0%, and 28.2%, respectively p < 0.001) and D-dimer values (6.8%, 19.6%, and 22.5%, respectively p = 0.001). Patients with the lowest tertiles of both biomarkers (CRP, 29.0 mg/L; D-dimer, 1.00 mg/L) were at extremely low risk of in-hospital mortality (0% until day 50, and 1.4% overall). Conversely, the elevation of both CRP and D-dimer levels was a significant predictor of in-hospital mortality (Hazard ratio, 2.97; 95% confidence interval, 1.57–5.60). A similar trend was observed when the biomarker threshold was set at a clinically relevant threshold. In conclusion, the combination of these abnormalities may provide a framework for rapid risk estimation for in-hospital COVID-19 patients with CVD.

scholarly journals Plasma Lutein, a Nutritional Biomarker for Development of Advanced Age-Related Macular Degeneration: The Alienor Study

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 2047
Author(s):  
Bénédicte M. J. Merle ◽  
Audrey Cougnard-Grégoire ◽  
Jean-François Korobelnik ◽  
Wolfgang Schalch ◽  
Stéphane Etheve ◽  
...  
Keyword(s):  
Macular Degeneration ◽  
High Performance ◽  
Population Based ◽  
Age Related Macular Degeneration ◽  
Cox Proportional Hazard ◽  
Age Related ◽  
Cox Proportional Hazard Models ◽  
Adjusted Model ◽  
Reduced Risk

Lutein and zeaxanthin may lower the risk of age-related macular degeneration (AMD). We evaluated the associations of plasma lutein and zeaxanthin with the incidence of advanced AMD in the Alienor study (Antioxydants Lipides Essentiels Nutrition et Maladies Oculaires). Alienor study is a prospective population-based cohort of 963 residents of Bordeaux, France, who were 73 years or older at baseline (2006–2008). The present study included 609 participants with complete ophthalmologic and plasma carotenoids data. Examinations were performed every two years over an eight-year period (2006 to 2017). Plasma lutein and zeaxanthin were determined at baseline from fasting blood samples using high-performance liquid chromatography. Cox proportional hazard models were used to assess associations between plasma lutein, zeaxanthin, and their (total cholesterol (TC) + triglycerides (TG)) ratios with AMD. Among the 609 included participants, 54 developed advanced incident AMD during a median follow-up time of 7.6 years (range 0.7 to 10.4). Participants with higher plasma lutein had a reduced risk for incident advanced AMD in the fully adjusted model (HR = 0.63 per 1-SD increase (95% CI, 0.41–0.97), p = 0.03). A similar association was observed using the lutein/(TC + TG) ratio (HR = 0.59 (95% CI, 0.39–0.90), p = 0.01). No associations were evidenced for other carotenoids. Higher plasma lutein was associated with a 37% reduced risk of incident advanced AMD.

Heart Transplantation for Pediatric and Congenital Cardiac Disease: A Comparison of Two Eras over 23 Years and 188 Transplants at a Single Institution

2021 ◽  
Vol 12 (1) ◽  
pp. 17-26
Author(s):  
Genevieve C. Tuite ◽  
James A. Quintessenza ◽  
Alfred Asante-Korang ◽  
Sharon R. Ghazarian ◽  
Bethany L. Wisotzkey ◽  
...  
Keyword(s):  
Heart Transplantation ◽  
Multivariable Analysis ◽  
Immunosuppressive Agent ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Congenital Cardiac Disease ◽  
Cox Proportional Hazard Models ◽  
One Year ◽  
Patterns Of Practice ◽  
First Time

Background: To assess changes in patterns of practice and outcomes over time, we reviewed all patients who underwent heart transplantation (HTx) at our institution and compared two consecutive eras with significantly different immunosuppressive protocols (cohort 1 [80 HTx, June 1995-June 2006]; cohort 2 [108 HTx, July 2006-September 2018]). Methods: Retrospective study of 180 patients undergoing 188 HTx (June 1995-September 2018; 176 first time HTx, 10 second HTx, and 2 third HTx). In 2006, we commenced pre-HTx desensitization for highly sensitized patients and started using tacrolimus as our primary postoperative immunosuppressive agent. The primary outcome was mortality. Survival was modeled by the Kaplan-Meier method. Univariable and multivariable Cox proportional hazard models were created to identify prognostic factors for survival. Results: Our 188 HTx included 18 neonates, 85 infants, 83 children, and 2 adults (>18 years). Median age was 260.0 days (range: 5 days-23.8 years). Median weight was 7.5 kg (range: 2.2-113 kg). Patients in cohort 1 were less likely to have been immunosensitized preoperatively (12.5% vs 28.7%, P = .017). Nevertheless, Kaplan-Meier analysis suggested superior survival in cohort 2 ( P = .0045). Patients in cohort 2 were more likely to be alive one year, five years, and ten years after HTx. Multivariable analysis identified the earlier era (hazard ratio [HR] [95% confidence interval] for recent era = 0.32 [0.14-0.73]), transplantation after prior Norwood operation (HR = 4.44 [1.46-13.46]), and number of prior cardiac operations (HR = 1.33 [1.03-1.71]) as risk factors for mortality. Conclusions: Our analysis of 23 years of pediatric and congenital HTx reveals superior survival in the most recent 12-year era, despite the higher proportion of patients with elevated panel reactive antibody in the most recent era. This improvement was temporally associated with changes in our immunosuppressive strategy.

scholarly journals Association of Mean and Variability of HbA1c with Heart Failure in Patients with Type 2 Diabetes

2021 ◽  
Vol 10 (7) ◽  
pp. 1401
Author(s):  
You-Ting Lin ◽  
Wei-Lun Huang ◽  
Hung-Pin Wu ◽  
Man-Ping Chang ◽  
Ching-Chu Chen
Keyword(s):  
Heart Failure ◽  
Type 2 Diabetes ◽  
Hba1c Level ◽  
Care Program ◽  
Good Glycemic Control ◽  
Cox Proportional Hazard ◽  
Hazard Ratios ◽  
Cox Proportional Hazard Models ◽  
Hba1c Variability

Heart failure (HF) is a common presentation in patients with type 2 diabetes mellitus (T2DM). Previous studies revealed that the HbA1c level is significantly associated with HF. However, little is known about the association between HbA1c variability and HF. We aimed to evaluate the association of mean and variability of HbA1c with HF in patients with T2DM. Using Diabetes Share Care Program data, patients with T2DM who had mean HbA1c (HbA1c-Mean), and HbA1c variability (tertiles of HbA1c-SD and HbA1c-adjSD) within 12–24 months during 2001–2008 were included. The cutoffs of HbA1c-Mean were set at <7%, 7–7.9%, and ≥8%. Hazard ratios (HRs) for HF during 2008–2018 were estimated using Cox proportional hazard models. A total of 3824 patients were included, of whom 315 patients developed HF during the observation period of 11.72 years. The associated risk of HF increased with tertiles of HbA1c variability and cutoffs of HbA1c-Mean. In mutually adjusted models, HbA1c-Mean showed a consistent dose-response association with HF, while the association of HbA1c variability with HF disappeared. Among patients with HbA1c-Mean <7%, the associated risk of HF in patients with HbA1c variability in tertile 3 was comparable to patients with HbA1c-Mean ≥8%. In conclusion, mean HbA1c was an independent predictor of HF and not explained by HbA1c variability. In addition to absolute HbA1c level, targeting on stability of HbA1c in patients with good glycemic control was also important for the development of HF in patients with T2DM.

Sign in / Sign up

Export Citation Format

Share Document