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Effect of various storage media on the physicochemical properties of plasma-treated dental zirconia
Get PDFThis study investigated the effect of various storage media on the physicochemical properties of plasma-treated 3-mol% yttria-stabilized tetragonal zirconia: air, vacuum, deionized water (DIW), and plasma-activated water (PAW). Each group was divided into five subgroups based on storage periods: immediately after NTP irradiation (T0), and after 1 week (T1), 2 weeks (T2), 3 weeks (T3), and 4 weeks (T4). The control group (C) received no treatment. The storage groups were monitored weekly using various analytical techniques, including contact angle measurements, scanning electron microscopy (SEM), focused ion beam (FIB)-SEM, confocal laser scanning microscopy (CLSM), x-ray photoelectron spectroscopy (XPS), and x-ray diffraction (XRD). Our results demonstrate that plasma-treated zirconia surfaces stored in DIW retained or even increased their hydrophilicity due to the formation of hydrogen bonds and preservation of nitrogen functionalities. In contrast, surfaces stored in air exhibited significant hydrophobic recovery. FIB-SEM analysis showed no adverse internal structural changes regardless of storage medium. The roughness of the zirconia surface slightly increased after plasma treatment and was generally retained across all storage groups for 4 weeks, except for the air storage group. This study concludes that storage in DIW effectively preserves the enhanced surface properties of plasma-activated zirconia for up to 4 weeks
Convolutional neural network-based classification of craniosynostosis and suture lines from multi-view cranial X-rays
Get PDFEarly and precise diagnosis of craniosynostosis (CSO), which involves premature fusion of cranial sutures in infants, is crucial for effective treatment. Although computed topography offers detailed imaging, its high radiation poses risks, especially to children. Therefore, we propose a deep-learning model for CSO and suture-line classification using 2D cranial X-rays that minimises radiation-exposure risks and offers reliable diagnoses. We used data comprising 1,047 normal and 277 CSO cases from 2006 to 2023. Our approach integrates X-ray-marker removal, head-pose standardisation, skull-cropping, and fine-tuning modules for CSO and suture-line classification using convolution neural networks (CNNs). It enhances the diagnostic accuracy and efficiency of identifying CSO from X-ray images, offering a promising alternative to traditional methods. Four CNN backbones exhibited robust performance, with F1-scores exceeding 0.96 and sensitivity and specificity exceeding 0.9, proving the potential for clinical applications. Additionally, preprocessing strategies further enhanced the accuracy, demonstrating the highest F1-scores, precision, and specificity. A qualitative analysis using gradient-weighted class activation mapping illustrated the focal points of the models. Furthermore, the suture-line classification model distinguishes five suture lines with an accuracy of > 0.9. Thus, the proposed approach can significantly reduce the time and labour required for CSO diagnosis, streamlining its management in clinical settings
Comparison of outcomes between anticoagulation and antiplatelet therapies for intracranial arterial dissections
No full textBackground: This study aimed to evaluate real-world data on the differences in outcomes between antiplatelet (AP) and anticoagulation (AC) therapies for intracranial arterial dissection (IAD). Methods: This study included patients with symptomatic unruptured IAD between 2010 and 2021 that were treated with anti-thrombotics. Patients were dichotomized to AC and AP based on a treatment policy analysis. Primary endpoints were a composite of ischemic early neurological deterioration, recurrent ischemic or hemorrhagic stroke, or 3-month mortality. Arterial changes were evaluated both in the early (during admission) and late (after discharge) periods. A treatment effectiveness analysis was also performed with AC, AP and a third group of antithrombotic cross-overs. Propensity score matching (PSM) was used to adjust significant baseline differences. Results: In unruptured IAD patients (N = 311), the AC group (N = 211) presented with a higher rate of ischemic stroke or TIA (74.4% vs. 51.0%, p < 0.001) and steno-occlusive morphology (vs. dilatation, 63.0% vs. 39.0%, p < 0.001) compared to AP group (N = 100). After PSM, there was no difference in rates of primary endpoint (9.4% vs. 6.5%, p = 0.470). The results of the treatment effectiveness analysis resembled that of the treatment policy analysis. However, there was a high rate of cross-overs from AC to AP (57/211 [27.0%]). In this group, there was a higher rate of early arterial changes (26.8% vs. 13.1%, p = 0.019) compared to the AC group. Conclusion: In patients with unruptured IAD, this study did not show differences in primary endpoints according to antithrombotic regimen, while there was a high rate of cross-overs from AC to AP
Sex and Age Differences in the Impact of Metabolic Syndrome on Heart Failure Development
No full textMetabolic syndrome (MetS), a cluster of metabolic dysregulations, is recognized as a significant risk factor for the development of heart failure (HF). The pathophysiological mechanisms linking MetS to HF are complex and multifaceted, with the components of MetS contributing to cardiac deterioration through impaired myocardial energy metabolism, increased inflammation, and endothelial dysfunction. Numerous clinical studies have confirmed the relationship between MetS and HF. Multiple studies have demonstrated that the impact of MetS on HF varies by sex and age. Metabolic disorders, including MetS, have a greater impact on HF incidence in younger adults compared to the elderly population and in women compared to men. Although the reasons for these differences are not yet fully understood, recognizing the sex- and age-related variations is crucial for developing targeted strategies to prevent HF in individuals with MetS. Future research should continue to investigate the underlying mechanisms behind these variations and identify optimal management approaches that account for both sex and age in reducing HF risk
Incidence and Risk Factors of Deep Vein Thrombosis after Foot and Ankle Surgery
Get PDFBackground: Deep vein thrombosis (DVT) is a common complication in orthopedic surgery and has the potential to lead to fatal complications such as pulmonary thromboembolism. However, the precise incidence and risk factors for DVT in the foot and ankle fields remain unclear. This study aimed to analyze the prevalence of DVT and identify its risk factors after foot and ankle surgery. Methods: Between September 2020 and July 2023, screening duplex ultrasonography was performed on 278 patients who underwent foot and ankle surgery and required immobilization. The findings from screening duplex ultrasonography were assessed in conjunction with the symptoms present at the time of diagnosis. Heterogeneous demographic data that could serve as potential risk factors for DVT, including diagnosis, body mass index, and other medical histories, were examined alongside pertinent surgery-related data, such as tourniquet time. Results: Among the 278 individuals, DVT occurred in 41 patients (14.7%). Among these, 92.7% originated at the calf level and the majority were asymptomatic. The cases originating above the calf accounted for 3 cases, representing 7.3% of patients diagnosed with DVT (1.1% of the entire screened population). Acute trauma, history of previous DVT, and old age were identified as statistically significant risk factors for DVT occurrence, with odds ratios of 2.44 (p = 0.04), 6.40 (p = 0.02), and 1.16 (p = 0.03), respectively. Conclusions: After foot and ankle surgery, DVT occurred in 14.7% of cases. Acute trauma, history of DVT, and old age were identified as risk factors for DVT. These findings highlight the necessity of careful monitoring and appropriate prophylactic interventions for high-risk patients. Further investigation is required to determine effective prophylactic strategies for this patient population
Diabetes Education Program for Nursing Students: A Systematic Review and Meta-Analysis
Get PDFAim: The purpose of this study was to summarise the current state of the science on diabetes mellitus education programs for nursing students. Design: A systematic review and meta-analysis. Methods: Eligible studies were identified by searching PubMed, EMBASE, CINAHL, and Cochrane Library databases. Randomised controlled trials and quasi-experimental studies, published in English between 2013 and 2022, that examined diabetes education programs for nursing students were considered in the review. The quality of the articles was evaluated using the Joanna Briggs Institute's Critical Appraisal Checklist. Key information such as authors, study focus, population, sample size, details of intervention and control group treatments, outcome variables, and main findings were extracted and summarised in a data extraction form for further analyses and syntheses. Results: The literature search identified 464 articles, from which 13 studies were evaluated in the systematic review. Most studies (n = 12, 92.3%) used technology-based teaching methods, such as high-fidelity simulations, mobile applications, and virtual reality simulations. Regarding the evaluation of diabetes education program effectiveness, the majority of studies showed significant improvements in knowledge (n = 8, 61.5%), followed by satisfaction with learning (n = 4, 30.8%), nursing skill performance (n = 3, 23.1%), and self-confidence (n = 3, 23.1%) in nursing students. In meta-analyses, technology-based teaching interventions, compared to traditional education, showed no statistically significant improvement in diabetes knowledge (standard mean difference 9.52, 95% CI [−0.18, 19.21], p = 0.05) and self-efficacy (standard mean difference 24.09, 95% CI [−10.75, 58.92], p = 0.18). Despite this, technology-based methods demonstrated favourable effects on knowledge and self-efficacy against traditional education. Findings highlight the importance of emerging technology-based diabetes education programs tailored for nursing students, crucial for enhancing positive educational outcomes. No Patient or Public Contribution
Distinct Clinical Profiles of IgE and IgG Autoantibodies to Thyroid Peroxidase in Chronic Spontaneous Urticaria
Get PDFPurpose: In chronic spontaneous urticaria (CSU), autoimmune thyroid disease is the most common autoimmune comorbidity, and many CSU patients have immunoglobulin (Ig)E or IgG autoantibodies to thyroid peroxidase (TPO). It remains unclear how anti-TPO IgE and IgG autoantibodies are linked to each other and are associated with CSU features, activity, and therapeutic responses. Methods: CSU patients (n = 146, 92 females, mean age 42.9 years) and healthy normal controls (NCs, n = 30) were assessed for anti-TPO IgE and IgG by enzyme-linked immunosorbent assay, and the clinical and laboratory profiles, disease activity (UAS7), and response to 3 months of H1-antihistamine treatment were evaluated for anti-TPO IgE-positive and/or IgG-positive patients. Results: Among 146 CSU patients, 67 (46%, NCs: 6.6%) had elevated anti-TPO IgE and/or IgG, and 32 (22%), 35 (24%), and 5 (3%) had elevated anti-TPO IgE, anti-TPO IgG, and both, respectively. Of the patients with anti-TPO IgE and/or IgG, 44% (n = 27) had anti-TPO IgE but not IgG, 48% (n = 30) had anti-TPO IgG but not IgE, and only 8% (n = 5) had anti-TPO IgE and IgG. Compared to anti-TPO IgE-negative patients, anti-TPO IgE-positive ones had greater rates of atopy and antihistamine responses and lower disease activity (UAS7). Anti-TPO IgG-positive patients had greater rates of angioedema and elevated levels of anti-thyroglobulin IgG than anti-TPO IgG-negative patients. Conclusions: Forty-six percentages of CSU patients have autoantibodies to TPO; most have either IgE or IgG autoantibodies but not both. Anti-TPO IgE and anti-TPO IgG come with distinct CSU profiles, including treatment responses
Surface Functionalization of 3D-Printed Bio-Inspired Scaffolds for Biomedical Applications: A Review
Get PDFThree-dimensional (3D) printing is a highly effective scaffold manufacturing technique that may revolutionize tissue engineering and regenerative medicine. The use of scaffolds, along with growth factors and cells, remains among the most promising approaches to organ regeneration. However, the applications of hard 3D-printed scaffolds may be limited by their poor surface properties, which play a crucial role in cell recruitment and infiltration, tissue–scaffold integration, and anti-inflammatory properties. However, various prerequisites must be met before 3D-printed scaffolds can be applied clinically to the human body. Consequently, various attempts have been made to modify the surfaces, porosities, and mechanical properties of these scaffolds. Techniques that involve the chemical and material modification of surfaces can also be applied to enhance scaffold efficacy. This review summarizes the characteristics and discusses the developmental directions of the latest 3D-printing technologies according to its intended application in unmet clinical needs
불안정 대퇴골 전자간 골절 모형에서 두부골수형 골수내 정의 대퇴경간각과 지연나사 위치에 따른 고정력의 생체역학적 분석
No full textDoctor1, 서론 1
2, 연구 방법 2
3, 결과 10
4. 고찰 11
5, 결론 14
참고 문헌 1