Association of maximum uterine diameter with postoperative complications in laparoscopic supracervical hysterectomy: A retrospective cohort study.

OBJECTIVE: To determine the maximum uterine diameter threshold associated with an elevated risk of complications following laparoscopic supracervical hysterectomy (LSH). METHODS: This was a retrospective cohort study from a single tertiary referral center. We enrolled patients who underwent LSH for benign indications at our hospital between January 2013 and June 2023. The primary outcome was the occurrence of surgical complications within the 30-day timeframe of hysterectomy. The covariate included the year of the procedure, patient age, body mass index, parity, American Society of Anesthesiologists classification, comorbidities, history of previous abdominal and pelvic surgery, and preoperative anemia, blood loss, surgical time, hospital stay and pathology. The exclusion criteria comprised those who underwent hysterectomy for malignancy, individuals who underwent total vaginal hysterectomy or laparoscopically assisted vaginal hysterectomy, and those with missing data on uterine maximum diameter, study outcomes, or covariates. RESULTS: We included a final sample of 120 patients, revealing a median uterine diameter of 9.12 cm, with 9.2% experiencing complications. The median uterine weight among 40 patients was 275 g. Receiver operating characteristic (ROC) curve analysis suggested a potential cutoff of 11.55 cm for predicting complications, with an area under the ROC curve of 0.67. Multivariate logistic regression confirmed a significant association between uterine diameter exceeding the cutoff and increased complication risk (OR 33.925, 95% CI: 2.294-501.690, P = 0.0103). A correlation (r = 0.762, P < 0.001) between uterine weight and diameter indicated the latter's suitability for preoperative assessment of uterine weight. CONCLUSION: The maximum uterine diameter with an optimal cutoff of 11.55 cm was associated with increased complication risk.

Deep Learning-Based Surgical Treatment Recommendation and Nonsurgical Prognosis Status Classification for Scaphoid Fractures by Automated X-ray Image Recognition.

Biomedical information retrieval for diagnosis, treatment and prognosis has been studied for a long time. In particular, image recognition using deep learning has been shown to be very effective for cancers and diseases. In these fields, scaphoid fracture recognition is a hot topic because the appearance of scaphoid fractures is not easy to detect. Although there have been a number of recent studies on this topic, no studies focused their attention on surgical treatment recommendations and nonsurgical prognosis status classification. Indeed, a successful treatment recommendation will assist the doctor in selecting an effective treatment, and the prognosis status classification will help a radiologist recognize the image more efficiently. For these purposes, in this paper, we propose potential solutions through a comprehensive empirical study assessing the effectiveness of recent deep learning techniques on surgical treatment recommendation and nonsurgical prognosis status classification. In the proposed system, the scaphoid is firstly segmented from an unknown X-ray image. Next, for surgical treatment recommendation, the fractures are further filtered and recognized. According to the recognition result, the surgical treatment recommendation is generated. Finally, even without sufficient fracture information, the doctor can still make an effective decision to opt for surgery or not. Moreover, for nonsurgical patients, the current prognosis status of avascular necrosis, non-union and union can be classified. The related experimental results made using a real dataset reveal that the surgical treatment recommendation reached 80% and 86% in accuracy and AUC (Area Under the Curve), respectively, while the nonsurgical prognosis status classification reached 91% and 96%, respectively. Further, the methods using transfer learning and data augmentation can bring out obvious improvements, which, on average, reached 21.9%, 28.9% and 5.6%, 7.8% for surgical treatment recommendations and nonsurgical prognosis image classification, respectively. Based on the experimental results, the recommended methods in this paper are DenseNet169 and ResNet50 for surgical treatment recommendation and nonsurgical prognosis status classification, respectively. We believe that this paper can provide an important reference for future research on surgical treatment recommendation and nonsurgical prognosis classification for scaphoid fractures.

An SNP Marker Predicts Colorectal Cancer Outcomes with 5-Fluorouracil-Based Adjuvant Chemotherapy Post-Resection.

Colorectal cancer (CRC) is a global health concern, necessitating adjuvant chemotherapy post-curative surgery to mitigate recurrence and enhance survival, particularly in intermediate-stage patients. However, existing therapeutic disparities highlight the need for biomarker-guided adjuvant chemotherapy to achieve better CRC inhibition. This study explores the molecular mechanisms underlying the inhibition of CRC through a genome-wide association study (GWAS) focused on 5-fluorouracil (5-FU)-based adjuvant therapy in intermediate-stage CRC patients, a domain previously unexplored. We retrospectively included 226 intermediate-stage CRC patients undergoing surgical resection followed by 5-FU-based adjuvant chemotherapy. The exploration cohort comprised 31 patients, and the validation cohort included 195 individuals. Genotyping was carried out using either Axiom Genome-Wide TWB 2.0 Array Plate-based or polymerase chain reaction-based methods on genomic DNA derived from collected tissue samples. Statistical analyses involved descriptive statistics, Kaplan-Meier analyses, and Cox proportional hazard analyses. From the GWAS, potential genetic predictors, GALNT14-rs62139523 and DNMBP-rs10786578 genotypes, of 5-FU-based adjuvant therapy following surgery in intermediate-stage CRC patients were identified. Validation in a larger cohort of 195 patients emphasized the predictive significance of GALNT14-rs62139523 genotypes, especially the "A/G" genotype, for improved overall and progression-free survival. This predictive association remained robust across various subgroups, with exceptions for specific demographic and clinical parameters such as age < 58 years old, CEA ≤ 2.5 ng/mL, tumor diameter > 44.0 mm, and tumor-free margin ≥ 50 mm. This study identifies that the GALNT14-rs62139523 "A/G" genotype modulates therapeutic outcomes, establishing it as a promising biomarker for predicting favorable responses to 5-FU-based adjuvant chemotherapy in intermediate-stage CRC patients, although further investigations are needed to detail these mechanisms.

Deciphering hepatoma cell resistance to tyrosine kinase inhibitors: insights from a Liver-on-a-Chip model unveiling tumor endothelial cell mechanisms.

Liver cancer represents a significant global burden in terms of cancer-related mortality, with resistance to anti-angiogenic drugs such as Sorafenib and Lenvatinib presenting a formidable challenge. Tumor angiogenesis, characterized by the formation of new blood vessels within tumors, plays a pivotal role in cancer progression and metastasis. Tumor endothelial cells, specialized endothelial cells lining tumor blood vessels, exhibit unique phenotypic and functional traits that drive aberrant vessel formation and contribute to therapy resistance. CD105, a cell-surface glycoprotein that is highly expressed on endothelial cells during angiogenesis, including tumor endothelial cells, regulates endothelial cell proliferation, migration, and vessel formation by modulating transforming growth factor-beta (TGF-ß) signaling pathways. Elevated CD105 expression on tumor endothelial cells correlates with increased angiogenic activity and poor prognosis in cancer patients. Targeting CD105 with antibodies presents a promising strategy to inhibit tumor angiogenesis and disrupt tumor vasculature, offering potential therapeutic benefits by interfering with the tumor microenvironment and inhibiting its progression. This study investigates tumor angiogenesis through a three-dimensional (3D) microfluidic co-culture system incorporating endothelial cells and hepatocellular carcinoma (HCC) cells. The primary focus is on the role of CD105 expression within the liver tumor microenvironment and its contribution to increased chemoresistance. Additionally, this research examines the influence of CD105 expression on the efficacy of tyrosine kinase inhibitors (TKIs) and its pivotal function in facilitating angiogenesis in liver tumors. The proposed microfluidic chip model investigates liver cancer cell interactions within a microfluidic chip model designed to simulate aspects of liver tumor angiogenesis.

An In Vitro System Mimics the Intestinal Microbiota of Striped Beakfish (Oplegnathus fasciatus) and Inhibits Vibrio alginolyticus by Limosilactobacillus reuteri-Derived Extracellular Vesicles.

Extracellular vesicles (EVs) are functional substances secreted by microbes and host cells, and it has been discovered that they participate in the interactions between different microorganisms. Our recent findings indicate that Limosilactobacillus reuteri-derived EVs have the potential to improve the intestinal microbiota of Oplegnathus fasciatus fish and inhibit pathogenic bacteria. Previous research has reported that the host intestinal cells play a regulatory role in the intestinal microbiota. This suggested that to investigate the mechanisms through which L. reuteri-derived EVs regulate the intestinal microbiota, a system that excludes interference from host intestinal cells should be established. In this study, an in vitro cultured intestinal bacteria system, without host factors, was used to simulate the intestinal microbiota of O. fasciatus fish. After adding L. reuteri-derived EVs to the system, the changes in the microbiota were analyzed. The results showed that L. reuteri-derived EVs effectively reduced the abundance of Vibrio spp. In the results of the in vitro experiments, it was also observed that L. reuteri-derived EVs have the ability to inhibit Vibrio alginolyticus. We further sequenced the small RNA contained in L. reuteri-derived EVs and found that these small RNAs can interfere with genes (LysR, pirin, MIpA/OmpV, CatB, and aspartate-semialdehyde dehydrogenase) related to the growth of V. alginolyticus. Taken together, the results indicate that in the absence of host involvement, the small RNAs present in L. reuteri-derived EVs have the function of inhibiting pathogenic bacteria and exhibit the potential to regulate the intestinal microbiota.

Human amniotic mesenchymal stem cell-islet organoids enhance the efficiency of islet engraftment in a mouse diabetes model.

AIMS: Despite islet transplantation has proved a great potential to become the standard therapy for type 1 diabetes mellitus (T1DM), this approach remains limited by ischemia, hypoxia, and poor revascularization in early post-transplant period as well as inflammation and life-long host immune rejection. Here, we investigate the potential and mechanism of human amniotic mesenchymal stem cells (hAMSCs)-islet organoid to improve the efficiency of islet engraftment in immunocompetent T1DM mice. MAIN METHODS: We generated the hAMSC-islet organoid structure through culturing the mixture of hAMSCs and islets on 3-dimensional-agarose microwells. Flow cytometry, whole-body fluorescent imaging, immunofluorescence, Calcein-AM/PI staining, ELISA, and qPCR were used to assess the potential and mechanism of shielding hAMSCs to improve the efficiency of islet transplantation. KEY FINDINGS: Transplant of hAMSC-islet organoids results in remarkably better glycemic control, an enhanced glucose tolerance, and a higher ß cell mass in vivo compared with control islets. Our results show that hAMSCs shielding provides an immune privileged microenvironment for islets and promotes graft revascularization in vivo. In addition, hAMSC-islet organoids show higher viability and reduced dysfunction after exposure to hypoxia and inflammatory cytokines in vitro. Finally, our results show that shielding with hAMSCs leads to the activation of PKA-CREB-IRS2-PI3K and PKA-PDX1 signaling pathways, up-regulation of SIL1 mRNA levels, and down-regulation of MT1 mRNA levels in ß cells, which ultimately promotes the synthesis, folding and secretion of insulin, respectively. SIGNIFICANCE: hAMSC-islet organoids can evidently increase the efficiency of islet engraftment and might develop into a promising alternative for the clinical treatment of T1DM.

The effect of acupuncture on gastrointestinal recovery after abdominal surgery: a narrative review from clinical trials.

Abdominal surgery is a critical surgery, with more and more attention being paid to postoperative life quality and associated complications in recent years. Among these complications, postoperative gastrointestinal dysfunction is the most common complication of abdominal surgery. Acupuncture therapy is a treatment approach based on the Traditional Chinese Medicine (TCM) theory, and its feasibility in aiding the gastrointestinal recovery after abdominal surgery is supported by both TCM theory and animal experiments. A lot of clinical research has been conducted to evaluate its efficacy, albeit with limitations and at preliminary stages. Moreover, intervention timing, acupoint selection, and patient benefits should also be considered in clinical practices. This article summarizes the progress of clinical research on acupuncture therapy in the gastrointestinal recovery after abdominal surgery, and discusses related issues and operations, with the aim to provide new insights and prospect for the incorporation of acupuncture into the Enhanced Recovery After Surgery (ERAS) protocol.

Enhancing the trustworthiness of chaos and synchronization of chaotic satellite model: a practice of discrete fractional-order approaches.

Accurate development of satellite maneuvers necessitates a broad orbital dynamical system and efficient nonlinear control techniques. For achieving the intended formation, a framework of a discrete fractional difference satellite model is constructed by the use of commensurate and non-commensurate orders for the control and synchronization of fractional-order chaotic satellite system. The efficacy of the suggested framework is evaluated employing a numerical simulation of the concerning dynamic systems of motion while taking into account multiple considerations such as Lyapunov exponent research, phase images and bifurcation schematics. With the aid of discrete nabla operators, we monitor the qualitative behavioural patterns of satellite systems in order to provide justification for the structure's chaos. We acquire the fixed points of the proposed trajectory. At each fixed point, we calculate the eigenvalue of the satellite system's Jacobian matrix and check for zones of instability. The outcomes exhibit a wide range of multifaceted behaviours resulting from the interaction with various fractional-orders in the offered system. Additionally, the sample entropy evaluation is employed in the research to determine complexities and endorse the existence of chaos. To maintain stability and synchronize the system, nonlinear controllers are additionally provided. The study highlights the technique's vulnerability to fractional-order factors, resulting in exclusive, changing trends and equilibrium frameworks. Because of its diverse and convoluted behaviour, the satellite chaotic model is an intriguing and crucial subject for research.

Chlorin e6 and BLZ945 Based Self-Assembly for Photodynamic Immunotherapy Through Immunogenic Tumor Induction and Tumor-Associated Macrophage Depletion.

Immunotherapeutic effect is restricted by the nonimmunogenic tumor phenotype and immunosuppression behaviors of tumor-associated macrophages (TAMs). In this work, a drug self-assembly (designated as CeBLZ) is fabricated based on chlorin e6 (Ce6) and BLZ945 to activate photodynamic immunotherapy through tumor immunogenic induction and tumor-associated macrophage depletion. It is found that Ce6 tends to assemble with BLZ945 without any drug excipients, which can enhance the cellular uptake, tumor penetration, and blood circulation behaviors. The robust photodynamic therapy effect of CeBLZ efficiently suppresses the primary tumor growth and also triggers immunogenic cell death to reverse the nonimmunogenic tumor phenotype. Moreover, CeBLZ can deplete TAMs in tumor tissues to reverse the immunosuppression microenvironment, activating abscopal effect for distant tumor inhibition. In vitro and in vivo results confirm the superior antitumor effect of CeBLZ with negligible side effect, which might promote the development of sophisticated drug combinations for systematic tumor management.

MicroRNA expression profiling in tears and blood as predictive biomarkers for anti-VEGF treatment response in wet age-related macular degeneration.

PURPOSE: This study aimed to investigate the potential of microRNAs (miRNAs) in tears, blood, and aqueous humor as biomarkers for predicting treatment response in wet age-related macular degeneration (AMD) patients undergoing anti-vascular endothelial growth factor (anti-VEGF) therapy. METHODS: In a single-center prospective cohort study, treatment-naïve wet AMD patients and age-matched controls were enrolled. Clinical data and miRNA levels (miR-199a-3p, miR-365-3p, miR-200b-3p, miR-195-5p, miR-335-5p, and miR-185-5p) in tears, blood, and aqueous humor were collected. Treatment response was categorized into responders and non-responders based on visual acuity and central subfield thickness. MiRNA levels were quantified using reverse-transcription PCR. Statistical analyses were performed, including ROC analysis, to evaluate predictive accuracy. RESULTS: Dysregulated miRNA profiles were observed in wet AMD tears and blood compared to controls. Specifically, miR-199a-3p, miR-195-5p, and miR-185-5p were upregulated, while miR-200b-3p was downregulated in tears. All six miRNAs were elevated in wet AMD blood samples. Notably, responders showed higher tear expression of miR-195-5p and miR-185-5p. Combining these miRNAs yielded the highest predictive power (AUC = 0.878, p = 0.006) for anti-VEGF responders. CONCLUSIONS: Dysregulated miRNA profiles in tears and blood suggest their potential as biomarkers for wet AMD. MiR-195-5p and miR-185-5p in tears demonstrate predictive value for anti-VEGF treatment responders. This study underscores the non-invasive prediction potential of miRNA tear analysis in wet AMD treatment responses.

2D CAIPI accelerated 3D multi-slab diffusion weighted EPI combined with qModeL reconstruction for fast high resolution microstructure imaging.

PURPOSE: To develop acceleration strategies for 3D multi-slab diffusion weighted imaging (3D ms-DWI) for enabling applications that require simultaneously high spatial (1 mm isotropic) and angular (> 30 directions) resolutions. METHODS: 3D ms-DWI offers high SNR-efficiency, with the ability to achieve high isotropic spatial resolution, yet suffers from long scan-times for studies requiring high angular resolutions. We develop 6D k-q space acceleration strategies to reduce the scan-time. Specifically, we develop non-uniform 3D ky-kz under-sampling employing a shot-selective 2D CAIPI sampling approach. To achieve inter-shot phase-compensation, 2D navigators were employed that utilize the same CAIPI trajectory. An iterative model-based 3D multi-shot reconstruction was designed by incorporating phase into the forward encoding process. Additionally, the shot-selective non-uniform ky-kz CAIPI acceleration was randomized along the q-dimension. The 3D model-based multi-shot reconstruction is then extended to a joint reconstruction that simultaneously reconstructs all the q-space points, with the help of a spatial total variation and deep-learned q-space regularization. RESULTS: The proposed reconstruction is shown to achieve adequate phase-compensation in both 2D CAIPI accelerated and additional ky-kz under-sampled cases. Using retrospective under-sampling experiments, we show that k-q accelerations close a factor of 12 can be achieved with a reconstruction error < 3% for both single and multi-shell data. This translates to a scan-time reduction by 3-fold for experiments with simultaneously high spatial and angular resolutions. CONCLUSION: The proposed method facilitates the utilization of 3D ms-DWI for simultaneously high k-q resolution applications with close to 3× reduced scan-time.

Unilateral acute idiopathic maculopathy related to hand-foot-mouth disease: Case report and literature review.

Unilateral acute idiopathic maculopathy (UAIM) is a rare disease that may cause unilateral vision loss in young adults after a flu-like illness. Occasionally, it is associated with hand-foot-mouth disease (HFMD) and is often underdiagnosed. Herein, we report a case with characteristics of UAIM associated with HFMD with acute enteroviral infection. On the basis of the clinical findings using multimodality diagnostic imaging, including fundus image, optical coherence tomography, fluorescence angiography, and serological test for pan-enterovirus RNA polymerase chain reaction, we detailed the clinical course and postulated the pathogenesis of UAIM with choroiditis associated with HFMD. This study could remind every doctor of the potential visual loss caused by UAIM in HFMD, and referring patients to the ophthalmologic survey is important to eliminate potential visual impairment.

Early intrauterine pregnancy with an intrauterine device in place and terminated with spontaneous abortion: A case report.

RATIONALE: The overall pregnancy rate in individuals with an intrauterine device (IUD) for contraception is <1%. If pregnancy occurs while an IUD is in place, there is a higher risk of an ectopic pregnancy. We report the case of a woman with an IUD who was 7 weeks pregnant and experienced a spontaneous abortion 1 week later. PATIENT CONCERN: A 32-year-old woman presented to our outpatient department with intermittent vaginal staining for several days. DIAGNOSES: She was 7 weeks pregnant and had an IUD in place for over 4 years. A vaginal examination revealed no vaginal bleeding and no blood clots; however, a parous cervix was observed. The IUD string was not visible. Transvaginal ultrasonography revealed a gestational sac in the uterine cavity, with a fetal pole and a crown-rump length of 11.4 mm. The fetal heart rate was 159 beats/min. The IUD was located in the retroplacental region. The bilateral adnexa appeared normal (right ovary, 2.9 cm; left ovary, 2.5 cm). The patient was diagnosed with an intrauterine pregnancy with an IUD in place and threatened abortion. INTERVENTIONS: Attempts to remove the IUD were abandoned due to its location, and conservative treatment was initiated with Utrogestan (100 mg) administered 3 times a day for 1 week. Bed rest was advised. OUTCOMES: Unfortunately, she experienced a complete abortion 1 week later. LESSONS: The novelty of this case report lies in the rare occurrence of an intrauterine pregnancy with a long-term IUD in place, the challenges posed by the IUD's specific location, and the complex management of threatened abortion in this context. Our case highlights the diagnostic management approach for intrauterine pregnancy with an IUD in place. Furthermore, it explores the impact of IUD location on pregnancy prognosis.

Stigmasterol: Remodeling gut microbiota and suppressing tumor growth through Treg and CD8+ T cells in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC), the most primary malignant liver tumor and is ranked as the fifth most common malignancy worldwide. Despite various therapeutic approaches being used in clinical practice, the overall effectiveness remains insufficient. Stigmasterol, a compound known for its anti-tumor properties and ability to induce apoptosis in tumor cells, has been found to influenced the composition of the intestinal microbiota. However, the mechanism through which stigmasterol influences the intestinal microbial-host crosstalk in HCC remains elusive. PURPOSE: This study was to investigate whether stigmasterol can remodel gut microbiota, and suppress tumor volume by regulating Treg and IFN-γ+ CD8+ cell in the host with HCC. METHOD: Stigmasterol (at dosages of 0, 50, 100, or 200 mg/kg) was orally administered to Balb/c mice with subcutaneous tumor once every 2 days for 3 weeks. RESULTS: We first found that tumors volume in the group treated with 100 mg/kg stigmasterol were significantly decreased compared with those in the control group (P < 0.05), which exhibited a similar effect as the sorafenib treatment in mice with HCC. This resulted in a significant upregulation of Caspase3, Bax, and P53 expressions, as well as a decrease in Cyclin D1 expression, ultimately leading to a reduction in tumor volume. Additionally, stigmasterol can alter the α and ß diversity of the intestinal flora and significantly increase the abundance of Lactobacillus_johnsonii, Lactobacillus_murinus, and Lactobacillus_reuteri (P<0.05), which can lead to a decrease in the ratio of regulatory T cells (Tregs) to CD8+ T cells in the intestinal tract and tumor tissue, and consequently enhance immune response in the tumor microenvironment (TME) in the host with HCC. CONCLUSION: In this study, we initially utilized different dosages of stigmasterol to intervene in mice with HCC and confirmed its inhibitory effects on tumor growth in vivo, and discovered that stigmasterol affected Lactobacillus johnsonii, Lactobacillus murinus, and Lactobacillus reuteri, resulting in an increased proportion of IFN-γ+ CD8+ T cells and Treg cells in both the intestinal mucosa and tumor tissues, and ultimately leading to increased levels of apoptotic proteins and the subsequent death of tumor cells, which shed light on the effect of stigmasterol on host intestinal tissue and intratumoral immune cells by reshaping the intestinal microbiota, and provide a theoretical foundation for the potential clinical application of stigmasterol in the treatment of HCC.

Utility of polygenic scores across diverse diseases in a hospital cohort for predictive modeling.

Polygenic scores estimate genetic susceptibility to diseases. We systematically calculated polygenic scores across 457 phenotypes using genotyping array data from China Medical University Hospital. Logistic regression models assessed polygenic scores' ability to predict disease traits. The polygenic score model with the highest accuracy, based on maximal area under the receiver operating characteristic curve (AUC), is provided on the GeneAnaBase website of the hospital. Our findings indicate 49 phenotypes with AUC greater than 0.6, predominantly linked to endocrine and metabolic diseases. Notably, hyperplasia of the prostate exhibited the highest disease prediction ability (P value = 1.01 × 10-19, AUC = 0.874), highlighting the potential of these polygenic scores in preventive medicine and diagnosis. This study offers a comprehensive evaluation of polygenic scores performance across diverse human traits, identifying promising applications for precision medicine and personalized healthcare, thereby inspiring further research and development in this field.

Low-latency gravitational wave alert products and their performance at the time of the fourth LIGO-Virgo-KAGRA observing run.

Multimessenger searches for binary neutron star (BNS) and neutron star-black hole (NSBH) mergers are currently one of the most exciting areas of astronomy. The search for joint electromagnetic and neutrino counterparts to gravitational wave (GW)s has resumed with ALIGO's, AdVirgo's and KAGRA's fourth observing run (O4). To support this effort, public semiautomated data products are sent in near real-time and include localization and source properties to guide complementary observations. In preparation for O4, we have conducted a study using a simulated population of compact binaries and a mock data challenge (MDC) in the form of a real-time replay to optimize and profile the software infrastructure and scientific deliverables. End-toend performance was tested, including data ingestion, running online search pipelines, performing annotations, and issuing alerts to the astrophysics community. We present an overview of the low-latency infrastructure and the performance of the data products that are now being released during O4 based on the MDC. We report the expected median latency for the preliminary alert of full bandwidth searches (29.5 s) and show consistency and accuracy of released data products using the MDC. We report the expected median latency for triggers from early warning searches (-3.1 s), which are new in O4 and target neutron star mergers during inspiral phase. This paper provides a performance overview for LIGO-Virgo-KAGRA (LVK) low-latency alert infrastructure and data products using theMDCand serves as a useful reference for the interpretation of O4 detections.

Prevalence of swallowing disorder in different dementia subtypes among older adults: a meta-analysis.

BACKGROUND: Ageing process and abnormal protein accumulation in dementia damage neural pathways affecting the swallowing process and leading to swallowing disorder. OBJECTIVE: To estimate the prevalence of swallowing disorder among older adults with different dementia subtypes. METHODS: We conducted a systematic search across multiple databases, including PubMed, Embase, Scopus, Web of Science and OVID Medline. The meta-analysis employed R (version 4.0.2) and utilised a generalised linear mixed model with a random-effect approach to estimate the pooled prevalence of swallowing disorder among older adults, considering various dementia subtypes. The quality of included studies was assessed using Hoy's criteria. Heterogeneity was identified through Cochrane's Q and I2 statistics. To further explore heterogeneity, moderator analysis was performed to identify the contributing variables among the included studies. RESULTS: Eighteen studies with 12,532 older adults with different dementia subtypes were enrolled in our meta-analysis. The pooled prevalence of swallowing disorder among older adults with dementia was 58%, with 46.5% for Alzheimer's dementia, 34.9% for Parkinson's dementia, 18.8% for vascular dementia, 16.3% for mixed dementia and 12.2% for Lewy body dementia. According to assessment tools, Alzheimer's dementia had the highest prevalence, with 58% in instrumental assessments and 39% in clinical assessments. Medical history, Alzheimer's dementia, moderate-to-severe Clinical Dementia Rating, delayed oral phase, delayed pharyngeal phase and poor tongue motility contributed to the heterogeneity of the included studies. CONCLUSIONS: More than half of older adults with dementia demonstrate to have swallowing disorder. Our findings offer valuable insights to healthcare professionals for the identification of swallowing disorder in ageing population with dementia.

An Arrhythmia classification approach via deep learning using single-lead ECG without QRS wave detection.

Arrhythmia, a frequently encountered and life-threatening cardiac disorder, can manifest as a transient or isolated event. Traditional automatic arrhythmia detection methods have predominantly relied on QRS-wave signal detection. Contemporary research has focused on the utilization of wearable devices for continuous monitoring of heart rates and rhythms through single-lead electrocardiogram (ECG), which holds the potential to promptly detect arrhythmias. However, in this study, we employed a convolutional neural network (CNN) to classify distinct arrhythmias without QRS wave detection step. The ECG data utilized in this study were sourced from the publicly accessible PhysioNet databases. Taking into account the impact of the duration of ECG signal on accuracy, this study trained one-dimensional CNN models with 5-s and 10-s segments, respectively, and compared their results. In the results, the CNN model exhibited the capability to differentiate between Normal Sinus Rhythm (NSR) and various arrhythmias, including Atrial Fibrillation (AFIB), Atrial Flutter (AFL), Wolff-Parkinson-White syndrome (WPW), Ventricular Fibrillation (VF), Ventricular Tachycardia (VT), Ventricular Flutter (VFL), Mobitz II AV Block (MII), and Sinus Bradycardia (SB). Both 10-s and 5-s ECG segments exhibited comparable results, with an average classification accuracy of 97.31%. It reveals the feasibility of utilizing even shorter 5-s recordings for detecting arrhythmias in everyday scenarios. Detecting arrhythmias with a single lead aligns well with the practicality of wearable devices for daily use, and shorter detection times also align with their clinical utility in emergency situations.