Citations

ABSTRACT Objective Bacterial biofilm control around dental implants is critical for the health of the peri‐implant soft tissue and longevity of dental implants. The patient's role in regular biofilm removal around dental implants is just as important as that of the dental hygienist. The purpose of this study is to identify the relationship between at‐home dental implant care and patients' perceptions of peri‐implant soft tissue health. Methods A 15‐item paper survey was distributed to adult patients undergoing professional dental hygiene maintenance at a specialty dental practice within a 3‐month period and had at least one dental implant. Survey items included participant demographics, patient‐reported adjunctive aids for dental implants and patient perceptions of dental implant oral hygiene practices and peri‐implant soft tissue health. Results There was a statistical difference between time spent cleaning dental implants and peri‐implant soft tissue health. An association was found between patients who reported spending more time cleaning their dental implants and less bleeding ( p = 0.046/54%), gingival inflammation ( p = 0.026/58%) and gingival tissue redness ( p = 0.036/53%). Additionally, patients who more frequently underwent professional dental hygiene maintenance perceived less gingival inflammation ( p = 0.001/66%). Conclusion To promote peri‐implant soft tissue health and reduce oral biological complications, best practice guidelines should be implemented, including optimal at‐home dental implant care and regular professional dental hygiene maintenance.

AbstractThe success of radial head arthroplasty (RHA) relies on the design of the implant and precision of the surgical technique, with preoperative planning potentially playing a crucial role. The accurate establishment of a patient‐specific anatomical coordinate system (ACS) is essential for this planning process. This study tested the hypothesis that an innovative automated method would be an accurate, reliable, and efficient framework to determine the ACS of the proximal radius, which would be a step toward improving the precision of RHA planning. We used advanced computational techniques to analyze 50 forearm CT scans, comparing the accuracy, reproducibility, reliability, and efficiency of the automated method with manually derived ACS using expert observers as benchmarks. The results showed that the automated approach was more accurate in identifying anatomical landmarks, with smaller mean distance discrepancies (0.6 mm) than manual observers (1 mm). Its reproducibility was also superior, with narrower reproducibility limits, particularly for ulnar notch landmarks (0.6 to 0.8 mm compared to manual selection 1.2 to 1.4 mm) (p = .01). In addition, the limits of agreement and the mean absolute rotational and translational differences of the axes were narrower for the automated method, which also reduced the construction time to an average of 46 s compared to 150 s manually (p < .001). These findings suggest that the automated method has the potential to enhance the accuracy and efficiency of preoperative and postoperative computer‐assisted procedures for RHA. Further research is needed to fully understand the utility of this automated system for enhancing RHA computer‐assisted surgical planning.

AbstractBackgroundIdentifying patient‐, facility‐, and environment‐level factors that influence the initiation and retention of comprehensive lifestyle management interventions (CLMI) for urban and rural Veterans could improve obesity treatment and reach at Veterans Affairs (VA) facilities.AimsThis study identified factors at these various levels that predicted treatment engagement, retention, and weight management among urban and rural Veterans.MethodsA retrospective cohort study of 631,325 Veterans was designed using VA databases to identify Veterans with class II and III obesity during 2015–2017. Primary outcomes were initiation of CLMI, bariatric surgery, or obesity pharmacotherapy within 1 year of index date. Secondary outcomes included treatment retention and successful weight loss. Generalized linear mixed models were used to evaluate the relationships between factors and obesity‐related outcomes, with rurality differences assessed through interaction terms.ResultsPatient characteristics associated with increased odds of initiating CLMI included female sex (p < 0.001), black race (p < 0.001), sleep apnea (p < 0.001), mood disorder (p < 0.001), and use of medications associated with weight loss (p < 0.001) or weight gain (p < 0.001). Facility use of telehealth was associated with greater odds of CLMI initiation in urban Veterans (p < 0.001) but lower retention in both populations (p = 0.003). Routine consideration of pharmacotherapy was associated with higher CLMI initiation. Environmental characteristics associated with increased odds of CLMI initiation included percent of population foreign born (OR = 1.03 per 10% increase; p < 0.001), percent black (p < 0.001), and high walkability index (p < 0.001). The relationship between total population and CLMI initiation differed by rurality, as greater population was associated with lower odds of CLMI initiation in urban areas (OR: 0.99 per 1000 population; p < 0.001), but higher odds in rural areas (OR:1.01, p = 0.01). Veterans in the south were less likely to initiate CLMI and had lower retention (p < 0.001).ConclusionTreatment and retention of CLMI among Veterans remain low, highlighting areas for improvement to expand its reach both urban and rural Veterans.

AbstractBackgroundSome patients express concerns regarding receipt of allogeneic blood transfusions from donors potentially vaccinated against SARS‐CoV‐2 (COVID‐19). However, limited information exists about patients' expression of these concerns or how to address them during the blood transfusion consent process. In this study, we describe our experience of working collaboratively with patients with vaccine‐related transfusion concerns prior to elective surgery, summarizing treatment decisions and clinical outcomes.Study Design and MethodsThis observational descriptive study includes patients seen in our Bloodless Medicine and Surgery clinic between June 2022 and June 2024 for vaccine‐related transfusion concerns prior to elective surgery. A shared decision‐making framework was employed to foster conversation, share information, provide reassurance, reconcile conflict, and match preferences with available care options. Patient characteristics, treatment decisions, and surgical outcomes were reviewed and summarized.ResultsThirty‐five patients were included, with median (1st, 3rd quartile) age of 61 (53, 69) years. Cardiac surgery was the most common type of surgery (29%). Twelve patients (34%) were anemic preoperatively, and all received preoperative treatment. After discussion with a Bloodless Medicine specialist, 24 (68.6%) decided to consent to the use of all blood products, 5 (14.3%) accepted only red blood cells, and 6 (17.1%) declined all blood products. Among 28 patients undergoing surgery, only 4 (14%) received allogeneic transfusion perioperatively.ConclusionMany patients concerned about the vaccination status of blood donors may ultimately consent to allogeneic blood products after shared decision‐making with a Bloodless Medicine specialist, highlighting the importance of patient empowerment and collaborative care.

Abstract Encephalitis with antibodies to leucine-rich glioma-inactivated 1 (LGI1-Ab-E) is a common form of autoimmune encephalitis, presenting with seizures and neuropsychiatric changes, predominantly in older males. More than 90% of patients carry the human leukocyte antigen (HLA) class II allele, HLA-DRB1*07:01. However, this is also present in 25% of healthy controls. Therefore, we hypothesized the presence of additional genetic predispositions. In this genome-wide association study and meta-analysis, we studied a discovery cohort of 131 French LGI1-Ab-E and a validation cohort of 126 American, British and Irish LGI1-Ab-E patients, ancestry-matched to 2613 and 2538 European controls, respectively. Outside the known major HLA signal, we found two single nucleotide polymorphisms at genome-wide significance (P &lt; 5 × 10−8), implicating PTPRD, a protein tyrosine phosphatase, and LINC00670, a non-protein coding RNA gene. Meta-analysis defined four additional non-HLA loci, including the protein coding COBL gene. Polygenic risk scores with and without HLA variants proposed a contribution of non-HLA loci. In silico network analyses suggested LGI1 and PTPRD-mediated interactions via the established receptors of LGI1, ADAM22 and ADAM23. Our results identify new genetic loci in LGI1-Ab-E. These findings present opportunities for mechanistic studies and offer potential markers of susceptibility, prognostics and therapeutic responses.

Abstract Obesity accelerates the onset and progression of age-related conditions. In preclinical models, obesity drives cellular senescence, a cell fate that compromises tissue health and function, in part through a robust and diverse secretome. In humans, components of the secretome have been used as senescence biomarkers that are predictive of age-related disease, disability, and mortality. Here, using biospecimens and clinical data from two large and independent cohorts of older adults, we tested the hypothesis that the circulating concentrations of senescence biomarkers are influenced by body mass index. After adjusting for age, sex, and race, we observed significant increases in activin A, Fas, MDC, PAI1, PARC, TNFR1, and VEGFA, and a significant decrease in RAGE, from normal weight, to overweight, to obesity body mass index categories by linear regression in both cohorts (all p &lt; .05). These results highlight the influence of body mass index on circulating concentrations of senescence biomarkers.