Multicenter validation of an artificial intelligence (AI)-based platform for the diagnosis of acute appendicitis.

BACKGROUND: The current scores used to help diagnose acute appendicitis have a "gray" zone in which the diagnosis is usually inconclusive. Furthermore, the universal use of CT scanning is limited because of the radiation hazards and/or limited resources. Hence, it is imperative to have an accurate diagnostic tool to avoid unnecessary, negative appendectomies. METHODS: This was an international, multicenter, retrospective cohort study. The diagnostic accuracy of the artificial intelligence platform was assessed by sensitivity, specificity, negative predictive value, the area under the receiver curve, precision curve, F1 score, and Matthews correlation coefficient. Moreover, calibration curve, decision curve analysis, and clinical impact curve analysis were used to assess the clinical utility of the artificial intelligence platform. The accuracy of the artificial intelligence platform was also compared to that of CT scanning. RESULTS: Two data sets were used to assess the artificial intelligence platform: a multicenter real data set (n = 2,579) and a well-qualified synthetic data set (n = 9736). The platform showed a sensitivity of 92.2%, specificity of 97.2%, and negative predictive value of 98.7%. The artificial intelligence had good area under the receiver curve, precision, F1 score, and Matthews correlation coefficient (0.97, 86.7, 0.89, 0.88, respectively). Compared to CT scanning, the artificial intelligence platform had a better area under the receiver curve (0.92 vs 0.76), specificity (90.9 vs 53.3), precision (99.8 vs 98.9), and Matthews correlation coefficient (0.77 vs 0.72), comparable sensitivity (99.2 vs 100), and lower negative predictive value (67.6 vs 99.5). Decision curve analysis and clinical impact curve analysis intuitively revealed that the platform had a substantial net benefit within a realistic probability range from 6% to 96%. CONCLUSION: The current artificial intelligence platform had excellent sensitivity, specificity, and accuracy exceeding 90% and may help clinicians in decision making on patients with suspected acute appendicitis, particularly when access to CT scanning is limited.

Robot-based solution for helping Alzheimer patients.

Alzheimer's is a progressive and debilitating neurological disorder characterized by cognitive decline, memory loss, and impaired daily functioning. It is an irreversible brain disease that destroys memory, thinking, and the ability to carry out daily activities. It poses significant challenges for patients and healthcare providers. Modern societies are trying to enhance the quality of people's lives, including Alzheimer's patients. In this study, we explored the potential of social robots to provide emotional support, improve cognitive function, and facilitate communication among Alzheimer's patients. This was achieved by initiating conversations on various topics such as family, relationships, and daily activities. This paper contributes to the literature by introducing a novel and well-organized framework for building an Alzheimer's care robot. Further, this study enriches the literature by introducing the Alzheimer Care Companion Robot (ACCR), designed to identify Alzheimer's patients. The ACCR initiates conversations in the native Arab-Kuwaiti dialect, displaying relevant memories through images and videos on its screen to assist in memory recall based on the individuals' life experiences. The proposed ACCR consists of 271 conversations belonging to three main categories: active, proactive, and graphical user interface (GUI) dialogs comprising 112 dialogs, 109 dialogs, and 50 dialogs for active, proactive, and GUI, respectively. The experimental result illustrated the success of the proposed solution.

Neoadjuvant chemotherapy for stage II-III breast cancer: a single-center experience.

INTRODUCTION: We conducted this study to reflect a single-center experience with the use of neoadjuvant systemic chemotherapy (NAC) for the management of women with operable breast cancer. METHODS: We conducted a retrospective chart review on all women presenting with operable, stage II-III, breast cancer and were scheduled for NAC at Suez Canal University Hospital. The primary outcome of this study was to estimate the proportion of patients with breast cancer who become eligible for breast-conserving surgery (BCS) after (NAC). RESULTS: A total of 147 patients were included. Before the initiation of chemotherapy, only 66 (44.9%) patients were indicated for (BCS). A total of 40 (49.4%) new patients, out of the 81 patients who were ineligible before chemotherapy, became eligible for BCS after NAC (95% CI 39.3-61.9%). On the other hand, 8 (12.1%) patients became ineligible for BCS after NAC, out of 66 patients who were initially eligible. Out of the 98 eligible patients for BCS after chemotherapy, 72 (73.5%) patients underwent the surgery, and the remaining 26 (26.5%) patients chose modified radical mastectomy (MRM). A total of 55 out of 72 (76.4%) patients achieved pathological complete response (pCR). One woman (0.1%) experienced relapse in the 3rd year of follow-up and three women (2%) experienced relapse in the 5th year of follow-up. We found a statistically significant relationship between patients who became eligible for breast-conserving surgery and both age and estrogen receptor negativity (p = 0.001 and 0.007, respectively). CONCLUSION: NAC can play a crucial role in increasing the rate of eligibility for BCS among women with operable, stage II-III, breast cancer.

The Epidemiological Pattern of Skin Cancer from 2011 to 2022 among the Population of the Aseer Region, Kingdom of Saudi Arabia.

The overall risk of developing cancer before the age of 75 years in the Kingdom of Saudi Arabia is 9.9%. We aimed to explore the pattern of skin cancer, specifically among the Saudi population residing in the Aseer region. We obtained data from the medical records of Aseer Central Hospital regional histopathological laboratory considering surgical pathology reports from 2011 to 2021. The 61-80-year-old age group represented most of the cases (41.4%), followed by the 41-60-year-old group at 24.1%. Men made up the majority of the cases (59.4%). Furthermore, the dataset predominantly consisted of Saudi nationals (94.3% of the sample). The percentage of cases diagnosed each year relative to the cumulative number of skin cancer cases varied each year, ranging from 1.6% in 2011 to 11.6% in 2017. The most common diagnoses were squamous cell carcinoma (SCC) with 230 cases (41.1%) and basal cell carcinoma (BCC) with 147 cases (26.3%). The majority of cases occurred in the head and neck region (55.4%), followed by the lower limb (16.6%), trunk (13.6%), upper limb (8.2%), and pelvis (2.3%). There was a significant variation in the type of skin cancer across the age groups (p < 0.001) and across different body parts (p < 0.001). The incidence of skin cancer exhibited variability throughout the study period. The predominant diagnoses observed were SSC and BCC. Among the affected areas, the head and neck region displayed the highest prevalence, followed by the lower limb, trunk, upper limb, and pelvis.

A rare case of high-grade non-Hodgkin's lymphoma with oral and multiple extranodal manifestations.

Lymphomas are a group of malignant diseases affecting the lymphoreticular system. Lymphoma is the second most common neoplasm of the head and neck after squamous cell carcinoma, but the incidence of lymphomas in the oral cavity and orbit is rare. Non-Hodgkin's lymphoma (NHL) is less predictable than Hodgkin's but has a greater predilection to extranodal tissues. Non-Hodgkin's incidence in extranodal sites accounts for about 20% to 30%, but in the oral cavity, its around 0.1% to 5%. The rarity of incidence in the oral cavity and atypical radiographic features diagnosing a lymphoma is quite a challenge for clinicians. Here we describe a case of 31-year-old male patient with high-grade non-Hodgkin's lymphoma involving oral cavity with metastasis to orbit, skeletal structures, testes, liver, pancreas and nasopharynx, which is quite rare.

Impact of COVID-19 pandemic on the rates of central line...associated bloodstream infection and catheter-associated urinary tract infection in an.ßintensive care setting:.ßNational experience.

BACKGROUND: COVID-19 is believed to increase the risk of secondary health care...associated infections. The objective was to estimate the impact of COVID-l9 pandemic on the rates of central line...associated bloodstream infection (CLABSI) and catheter-associated urinary tract infections (CAUTIs) in the.ßMinistry of Health hospitals across Saudi Arabia. METHODS: A retrospective analysis of prospectively collected CLABSI and CAUTI data over a period of 3 years (2019-2021) was done. The data were obtained from the Saudi Health Electronic Surveillance Network. All adult intensive care units in 78 Ministry of Health hospitals that contributed CLABSI or CAUTI data before (2019) and during (2020-2021).ßthe pandemic were included. RESULTS: During the study, 1440 CLABSI events and 1119 CAUTI events were identified. CLABSI rates significantly increased in 2020-2021 compared with 2019 (2.50 versus 2.16 per 1000 central line days, P.ß=.ß.010). CAUTI rates significantly decreased in 2020-2021 compared with 2019 (0.96 versus 1.54 per 1000 urinary catheter days, P.ß<.ß.001). CONCLUSIONS: COVID-19 pandemic is.ßassociated with increased CLABSI rates and reduced CAUTI rates. It.ßis believed to have negative impacts on several infection control practices and surveillance accuracy. The opposite impacts of COVID-19 on CLABSI and CAUTI probably reflect.ßthe nature of their case definitions.

Cohort event monitoring for safety signal detection in adult individuals 18 years and above after immunisation with coronavirus disease 2019 vaccines in Nigeria.

Introduction: In Nigeria, immunisation with coronavirus disease 2019 (COVID-19) vaccines commenced in March 2021. COVISHIELD from AstraZeneca (AZ), a viral vector vaccine, was the brand administered in the first phase of vaccinations for pre-determined eligible adults 18 years and above. As more brands of COVID-19 vaccines have been introduced in Nigeria, identifying effective and safe vaccine brands is essential to pharmacovigilance and public health. The current study assessed the safety of the AZ-AZD1222 (ChAdOx1) COVID-19 vaccine in adults during the first phase of the vaccination exercise in Nigeria. Methodology: We conducted a descriptive analysis of safety data from selected vaccination sites across six states in Nigeria between June 2021 and September 2021. Respondents were monitored over 3 months for local and systemic reactions, as well as hospitalisation and mortality. Measures obtained from respondents include age, sex, pre-existing comorbidity, local and systemic reactions to vaccines, timing onset of reactions, hospitalisation and mortality. Bivariate and multivariable regression models were used to assess factors associated with vaccine reactogenicity. Results: A total of 1284 individuals were enrolled in the cohort study from the six selected states (Anambra, Borno, Edo, Katsina, Lagos and Plateau) representing the geopolitical zones of Nigeria. A total of 675 individuals or 52.6% of enrolees reported non-serious adverse effects, and only one individual or 0.08% reported a serious adverse event following immunisation in the first 7 days after vaccination. None of the enrolled participants reported adverse events requiring hospitalisation. The most common self-reported symptoms amongst vaccine recipients were tenderness at the injection site 20.9% and fever 20.3%. A majority of symptoms (55.5%) occurred on or before the 3rd day after vaccination. Multivariable logistic regression model showed that age 60 years or above (vs. 18-24 years) was significantly associated with a lower likelihood of a vaccine-related symptomatic reaction (adjusted odds ratio: 0.35; 95% confidence interval: 0.20-0.61). There was no reported mortality amongst all the enrolled and followed-up vaccine recipients. Conclusion: Our findings suggest that the safety profile of the AZ vaccine is acceptable, and the observed symptoms were mild and mostly within the first 3 days following vaccination. Vaccine recipients will benefit from counselling about potential transient reactions, and improving public awareness can potentially encourage the uptake of vaccines and reduce the spread of the COVID-19 pandemic.

Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans.

Accurate radiogenomic classification of brain tumors is important to improve the standard of diagnosis, prognosis, and treatment planning for patients with glioblastoma. In this study, we propose a novel two-stage MGMT Promoter Methylation Prediction (MGMT-PMP) system that extracts latent features fused with radiomic features predicting the genetic subtype of glioblastoma. A novel fine-tuned deep learning architecture, namely Deep Learning Radiomic Feature Extraction (DLRFE) module, is proposed for latent feature extraction that fuses the quantitative knowledge to the spatial distribution and the size of tumorous structure through radiomic features: (GLCM, HOG, and LBP). The application of the novice rejection algorithm has been found significantly effective in selecting and isolating the negative training instances out of the original dataset. The fused feature vectors are then used for training and testing by k-NN and SVM classifiers. The 2021 RSNA Brain Tumor challenge dataset (BraTS-2021) consists of four structural mpMRIs, viz. fluid-attenuated inversion-recovery, T1-weighted, T1-weighted contrast enhancement, and T2-weighted. We evaluated the classification performance, for the very first time in published form, in terms of measures like accuracy, F1-score, and Matthews correlation coefficient. The Jackknife tenfold cross-validation was used for training and testing BraTS-2021 dataset validation. The highest classification performance is (96.84 ± 0.09)%, (96.08 ± 0.10)%, and (97.44 ± 0.14)% as accuracy, sensitivity, and specificity respectively to detect MGMT methylation status for patients suffering from glioblastoma. Deep learning feature extraction with radiogenomic features, fusing imaging phenotypes and molecular structure, using rejection algorithm has been found to perform outclass capable of detecting MGMT methylation status of glioblastoma patients. The approach relates the genomic variation with radiomic features forming a bridge between two areas of research that may prove useful for clinical treatment planning leading to better outcomes.

Erector spinae plane block versus paravertebral block in analgesic outcomes following breast surgery.

This article represents the response to the inquiries adopted by Dr. Raghuraman M Sethuraman, M.D., regarding our recently published study which compared the erector spinae plane block (ESPB) versus paravertebral block (PVB) regarding postoperative analgesic consumption following breast surgeries (Elewa et al, BMC Anesthesiol 22: 1-9, 2022). We would like to introduce our appreciation and gratitude to the author for his interest in our work, despite being inaccurate in some of his comments.

Diagnostic performance of biomarker S100B and guideline adherence in routine care of mild head trauma.

BACKGROUND: The Scandinavian Neurotrauma Committee (SNC) has recommended the use of serum S100B as a biomarker for mild low-risk Traumatic brain injuries (TBI). This study aimed to assess the adherence to the SNC guidelines in clinical practice and the diagnostic performance of S100B in patients with TBI. The aims of this study were to examine adherence to the SNC guideline and the diagnostic accuracy of serum protein S100B. METHODS: Data of consecutive patients of 18 years and above who presented to the emergency department (ED) at Helsingborg Hospital with isolated head injuries, were retrieved from hospital records. Patients with multitrauma, follow-up visits, and visits managed by a nurse without physician involvement were excluded. RESULTS: A total of 1671 patients were included of which 93 (5.6%) had intracranial hemorrhage. CT scans were performed in 62% of patients. S100B was measured in 26% of patients and 30% of all measurements targeted the low-risk mild head injuries indicated by the guideline. S100B's recommended cut-off value (≥ 0.10 µg/L) had a 100% sensitivity, 47% specificity, 10.1% positive predictive value, and 100% negative predictive value-if applied to the target SNC category (SNC 4). If applied to all patients tested, the sensitivity was 93% for traumatic intracranial hemorrhage (TICH). Current ED practices were adherent to the SNC guideline in 55% of patients. Non-adherent practices occurred in 64% of patients with low-risk mild head injuries (SNC4) including overtesting or undertesting of S100B and CT scans. CONCLUSION: Adherence to guidelines was low and associated with a higher admission rate than non-adherence practice but no significant increase in missed TICH or death associated with non-adherence to guideline was found. In routine care, we found that the sensitivity and NPV of serum protein S100B was excellent and safely ruled out TICH when measured in the patient category recommended by the guideline. However, measuring serum protein S100B in patients not recommended by the guideline rendered unacceptably low sensitivity with possible missed TICHs as a consequence. To further delineate the magnitude and impact of non-adherence, more studies are needed.

Benefits and challenges of fostering research-focused communities of practice at a specialised health sciences university: An exploratory study.

Introduction: Structured undergraduate research, whether mandatory or elective, provides undergraduate students with a unique opportunity to develop their research skills. However, the majority of the students undertake individual research projects rather than working in a group. This study explores the perceived benefits and challenges of fostering research focused communities of practice at a specialised health sciences university in Riyadh, Saudi Arabia. Methods: This cross-sectional study was conducted at the College of Medicine, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS) Riyadh, Saudi Arabia. The study was approved by the Ethics Committee at the King Abdullah International Medical Research Center (KAIMRC). A self-administered questionnaire was developed that assessed the perceived benefits and challenges of doing research in groups. Data were collected using a mixture of a dichotomous and a 5-point Likert scale and were analysed using Statistical Program for Social Scientists (SPSS). Results: Of the 380 medical students invited to participate in this study, 307 completed the questionnaire, with a response rate of 80.7%. The majority of the medical students (87%) agreed on the importance of teamwork in conducting medical research. Almost all medical students (96%) believed patience and tolerance were required to make the team successful. Significant differences were found between junior and senior medical students regarding their perceived benefits (P-value = 0.0001) and challenges (P-value = 0.0007). Conclusion: Although most of the students believed that doing research in groups is essential and that working within such groups enhances their research knowledge, forming these research groups was not without problems. The need for patience and tolerance to keep the group together, the issue of free-riders and the difficulties related to which research group to join were some of the challenges students encountered.

The impact of Hydroxyurea on the rates of Vaso-occlusive crises in patients with sickle cell disease in Saudi Arabia: a single-center study.

BACKGROUND: Vaso-occlusive crises (VOCs) are acute and common painful complication of sickle cell disease (SCD), and are the main reason behind the frequent emergency department visits among SCD patients. Hydroxyurea (HU) is an old and commonly used medication that demonstrated its effectiveness in reducing the risk of VOCs and the incidence of hospitalization. Although multiple studies have examined the impact of HU on the rates of VOCs, few have explored its effectiveness among SCD patients in Saudi Arabia. METHODS: This was a single-center retrospective cohort study in which the electronic medical records of patients with SCD who have not had any previous exposure to HU prior to the initiation of HU treatment for ≥12 months were recruited. Paired t-test was conducted to examine the difference in the rates of VOCs, and levels of hemoglobin (Hgb), hematocrit (HCT), and platelet counts (PLT Ct) prior to the initiation of HU therapy and 12 months later. Multiple linear regression was conducted to examine whether age, gender, use of opioid analgesics, Hgb, HCT, and PLT Ct levels predict higher or lower rates of VOCs. RESULTS: One hundred and fifty-six patients met the inclusion criteria and were included in the analysis. About 51% of the patients were males, and their mean age was 12.69 years. The mean HU dosage was 16.52 mg/kg/day, and the mean reduction in the rate of VOCs was 1.36 events per patient per year (95% CI [1.03-1.70], p < 0.0001) after the initiation of HU. Females were more likely to have greater reduction in the rates of VOCs in comparison to their male counterparts (ß-estimate = 12.85, 95% CI [0.759-24.93], p = 0.0374). CONCLUSION: The use of HU results in a significant reduction in the rates of VOCs and emergency department visits. Future studies with robust research designs should be conducted to further examine the impact of HU on VOCs, hospitalization, and length of stay as well as compare HU to other newly approved medications for SCD, such as crizanlizumab.

Deep Neural Network for the Prediction of KRAS Genotype in Rectal Cancer.

BACKGROUND: KRAS mutation can alter the treatment plan after resection of colorectal cancer. Despite its importance, the KRAS status of several patients remains unchecked because of the high cost and limited resources. This study developed a deep neural network (DNN) to predict the KRAS genotype using hematoxylin and eosin (H&E)-stained histopathological images. STUDY DESIGN: Three DNNs were created (KRAS_Mob, KRAS_Shuff, and KRAS_Ince) using the structural backbone of the MobileNet, ShuffleNet, and Inception networks, respectively. The Cancer Genome Atlas was screened to extract 49,684 image tiles that were used for deep learning and internal validation. An independent cohort of 43,032 image tiles was used for external validation. The performance was compared with humans, and a virtual cost-saving analysis was done. RESULTS: The KRAS_Mob network (area under the receiver operating curve [AUC] 0.8, 95% CI 0.71 to 0.89) was the best-performing model for predicting the KRAS genotype, followed by the KRAS_Shuff (AUC 0.73, 95% CI 0.62 to 0.84) and KRAS_Ince (AUC 0.71, 95% CI 0.6 to 0.82) networks. Combing the KRAS_Mob and KRAS_Shuff networks as a double prediction approach showed improved performance. KRAS_Mob network accuracy surpassed that of two independent pathologists (AUC 0.79 [95% CI 0.64 to 0.93], 0.51 [95% CI 0.34 to 0.69], and 0.51 (95% CI 0.34 to 0.69]; p < 0.001 for all comparisons). CONCLUSION: The DNN has the potential to predict the KRAS genotype directly from H&E-stained histopathological slide images. As an algorithmic screening method to prioritize patients for laboratory confirmation, such a model might possibly reduce the number of patients screened, resulting in significant test-related time and economic savings.

Semantic textual similarity for modern standard and dialectal Arabic using transfer learning.

Semantic Textual Similarity (STS) is the task of identifying the semantic correlation between two sentences of the same or different languages. STS is an important task in natural language processing because it has many applications in different domains such as information retrieval, machine translation, plagiarism detection, document categorization, semantic search, and conversational systems. The availability of STS training and evaluation data resources for some languages such as English has led to good performance systems that achieve above 80% correlation with human judgment. Unfortunately, such required STS data resources are not available for many languages like Arabic. To overcome this challenge, this paper proposes three different approaches to generate effective STS Arabic models. The first one is based on evaluating the use of automatic machine translation for English STS data to Arabic to be used in fine-tuning. The second approach is based on the interleaving of Arabic models with English data resources. The third approach is based on fine-tuning the knowledge distillation-based models to boost their performance in Arabic using a proposed translated dataset. With very limited resources consisting of just a few hundred Arabic STS sentence pairs, we managed to achieve a score of 81% correlation, evaluated using the standard STS 2017 Arabic evaluation set. Also, we managed to extend the Arabic models to process two local dialects, Egyptian (EG) and Saudi Arabian (SA), with a correlation score of 77.5% for EG dialect and 76% for the SA dialect evaluated using dialectal conversion from the same standard STS 2017 Arabic set.

Modulation of key antioxidant enzymes and cell cycle arrest as a possible antifungal mode of action of cinnamaldehyde based azole derivative.

Although Candida auris was only identified in the year 2009, it has rapidly spread in more than a dozen countries and is proving more deadly and notorious. In our previous studies, we reported on the tremendous antifungal potential of a series of cinnamaldehyde based azole derivatives against fluconazole susceptible and resistant clinical isolates of Candida albicans and identified a promising lead molecule (6f). In this study, the effect of this compound on the viability and physiology of cell death in C. auris was assessed. The impact of compound 6f on cell cycle, oxidative stress enzymes and transcriptional profile of genes encoding these oxidative stress enzymes was also analysed. The results confirmed that compound 6f possessed the minimum inhibitory concentration of 0.98 µg/mL and prevented the growth and caused death in yeast cells. Furthermore, the compound at subinhibitory and inhibitory concentrations blocked the cell cycle in C. auris at S phase and G2/M phase and inhibited expression as well as activity of antioxidant enzymes that resulted in production of reactive oxygen species. Altogether, compound 6f showed potential antifungal activity against a virulent strain of C. auris and was able to induce oxidative stress and arrested cell cycle in C. auris and therefore, it can be considered as a strong candidate for antifungal drug development against C. auris.

Efficacy of Acupuncture, Intravenous Lidocaine, and Diet in the Management of Patients with Fibromyalgia: A Systematic Review and Network Meta-Analysis.

Introduction: This network meta-analysis aimed to assess the efficacy of acupuncture, intravenous lidocaine, and diet compared with other comparators such as physiotherapy and sham/placebo in fibromyalgia patients. Materials and Methods: We searched Embase, PubMed, Scopus, and Web of Science for relevant studies till September 2021. The included studies were randomized controlled clinical trials. For the network meta-analysis, we used the R software. Results: There were 23 included RCTs. The total sample size was 1409 patients. Compared with the sham/placebo group, the network analysis showed the highest improvement in the quality of life in the acupuncture group standardized mean difference (SMD) = -10.28, 95%-CI [-14.96; -5.59]), and then in the physiotherapy group (SMD = -7.48, 95%-CI [-14.72; -0.23]). For the pain, there was a significant reduction with acupuncture (SMD = -1.69, 95%-CI [-2.48; -0.89]), compared with sham/placebo. Regarding depression, it showed a significant reduction with acupuncture (SMD = -9.64, 95%-CI [-16.13; -3.14]) compared with sham/placebo. Finally, for stiffness, it showed no significant differences in the stiffness between acupuncture (SMD = -8.52, 95%-CI [-20.40; 3.36]), fluoxetine (SMD = -6.52, 95%-CI [-29.65; 16.61]), and physiotherapy (SMD = -4.64, 95%-CI [-22.83; 13.54]) compared with sham/placebo. Conclusions: The acupuncture showed a significant effect in the management of fibromyalgia patients. It reduced pain, depression, and enhanced the quality of life. While physiotherapy showed a significant improvement in the quality of life only. In contrast, intravenous lidocaine and diet showed no significant differences when compared with sham/placebo.

Effect of the Addition of Varying Concentrations of Silver Nanoparticles on the Fluoride Uptake and Recharge of Glass Ionomer Cement.

This study aimed to compare the amount of fluoride uptake and the recharge and release characteristics of conventional glass ionomer cement (GIC) without any additives in comparison to conventional glass ionomer cement supplemented with silver nanoparticles (AgNPs) at two concentrations: 0.1% and 0.2% (w/w). A total of 60 specimens were used in this in vitro study. The sample was divided into six groups­including three groups without fluoride charge: Group 1 (conventional GIC), Group 2 (GIC with 0.1% silver nanoparticles), and Group 3 (GIC with 0.2% silver nanoparticles; and three groups with fluoride charge: Group 4 (conventional GIC with fluoride); Group 5 (GIC with 0.1% silver nanoparticles with fluoride); Group 6 (GIC with 0.2% silver nanoparticles with fluoride), where Group 1 is considered the control group and the other five groups are used as the test groups. The amount of fluoride released was measured on days 1, 2, 7, 15, and 30. The comparisons were made between the groups with and without fluoride and among all the groups. A significant difference in the amount of fluoride released was observed between the groups, with the highest amount occurring in Group 1, followed by Group 2; the lowest amount of fluoride released was observed in Group 3 (p < 0.05). The groups with fluoride recharge (Groups 4, 5, and 6) exhibited a higher amount of fluoride release than the groups with no recharge (Groups 1, 2, and 3); however, Group 1 has more fluoride release compared to all other groups on days 1, 2, 7, 15, and 30 (p < 0.05). The amount of released fluoride decreased from day 1 to day 30 in all of the groups in the study. Despite the antimicrobial and anticariogenic benefits of adding silver nanoparticles to GIC, it seems that fluoride release characteristics are significantly affected by the addition of this material. This may force the clinician to a compromise between the antimicrobial benefit of silver nanoparticles and the remineralizing advantage of fluoride.

Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition.

Sign language is the main channel for hearing-impaired people to communicate with others. It is a visual language that conveys highly structured components of manual and non-manual parameters such that it needs a lot of effort to master by hearing people. Sign language recognition aims to facilitate this mastering difficulty and bridge the communication gap between hearing-impaired people and others. This study presents an efficient architecture for sign language recognition based on a convolutional graph neural network (GCN). The presented architecture consists of a few separable 3DGCN layers, which are enhanced by a spatial attention mechanism. The limited number of layers in the proposed architecture enables it to avoid the common over-smoothing problem in deep graph neural networks. Furthermore, the attention mechanism enhances the spatial context representation of the gestures. The proposed architecture is evaluated on different datasets and shows outstanding results.

Antiplatelet therapy contributes to a higher risk of traumatic intracranial hemorrhage compared to anticoagulation therapy in ground-level falls: a single-center retrospective study.

BACKGROUND: Traumatic brain injury (TBI) is a common injury and constitutes up to 3% of emergency department (ED) visits. Current studies show that TBI is most commonly inflicted in older patients after ground-level falls. These patients often take medications affecting coagulation such as anticoagulants or antiplatelet drugs. Guidelines for ED TBI-management assume that anticoagulation therapy (ACT) confers a higher risk of traumatic intracranial hemorrhage (TICH) than antiplatelet therapy (APT). However, recent studies have challenged this. This study aimed to evaluate if oral anticoagulation and platelet inhibitors affected rate of TICH in head-trauma patients with ground-level falls. METHODS: This was a retrospective review of medical records during January 1, 2017 to December 31, 2017 and January 1 2020 to December 31, 2020 of all patients seeking ED care because of head-trauma. Patients ≥ 18 years with ground-level falls were included. RESULTS: The study included 1938 head-trauma patients with ground-level falls. Median age of patients with TICH was 81 years. The RR for TICH in APT-patients compared to patients without medication affecting coagulation was 1.72 (p = 0.01) (95% Confidence Interval (CI) 1.13-2.60) and 1.08 (p = 0.73), (95% CI 0.70-1.67) in ACT-patients. APT was independently associated with TICH in regression analysis (OR 1.59 (95% CI 1.02-2.49), p = 0.041). CONCLUSION: This study adds to the growing evidence that APT-patients with ground-level falls might have as high or higher risk of TICH than ACT-patients. This is not addressed in the current guidelines which may need to be updated. We therefore recommend broad prospective studies.