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The association of malignant left ventricular hypertrophy (LVH), a specific subphenotype of LVH characterized by elevated levels of high-sensitivity cardiac troponin (hs-cTnT) or N-terminal pro–B-type natriuretic peptide (NT-proBNP), with cognitive decline remains understudied. This post-hoc analysis included a total of 8,027 (67.9 ± 9.3 years) SPRINT MIND trial participants who had with at least 1 follow-up cognitive assessment. Participants were classified into 6 groups on the basis of LVH status on electrocardiogram (ECG), and elevations in levels of hs-cTnT ≥14 ng/L or NT-proBNP ≥125 pg/mL at baseline visit. Multivariate Cox proportional hazard models were used to examine the association of LVH/biomarker groups with incident probable dementia, mild cognitive impairment (MCI) and a composite of MCI/probable dementia. Over a median follow-up period of 5 years, there were 306, 597, and 818 incidents of MCI, probable dementia and a composite of MCI/probable dementia, respectively. Compared with participants without LVH and normal biomarker levels, those with concomitant LVH and elevated levels of both biomarkers were associated with a higher risk of probable dementia (HR, 2.50; 95% CI (1.26-4.95), MCI (HR, 1.78; 95% CI (0.99-3.23) and the composite of MCI/ probable dementia (HR, 1.89; 95% CI, 1.16-3.10). Among SPRINT participants, malignant LVH is associated with incident probable dementia and mild cognitive impairment. These findings underscore the potential utility of measuring hs-cTnT and NT-proBNP levels when LVH is detected on ECG, aiding in the differentiation of individuals with a favorable risk for cognitive impairment from those with a higher risk. [Display omitted] [ABSTRACT FROM AUTHOR]

Periprosthetic joint infection (PJI) is a significant post-arthroplasty complication for diabetic patients, with uncontrolled diabetes identified as a PJI risk factor. Taiwan's Diabetes Shared Care Program (DSCP) was established for holistic diabetes care. To evaluate the DSCP's impact on PJI incidence and patients' medical costs. Data were analysed from Taiwan's National Health Insurance Research Database from 2010 to 2020, focusing on type 2 diabetes mellitus (DM) patients who had undergone arthroplasty. The study group involved DSCP participants, while a comparison group comprised non-participants with matched propensity scores for age, sex, and comorbidities. The primary outcome was the PJI incidence difference between the groups; the secondary outcome was the medical expense difference. The study group consisted of 11,908 type 2 DM patients who had arthroplasty and joined the DSCP; PJI occurred in 128 patients. Among non-participants, 184 patients had PJI. The PJI incidence difference between the groups was statistically significant (1.07% vs 1.55%). The study group's medical costs were notably lower, regardless of PJI incidence. Multivariate regression showed higher PJI risk in patients in comparison group, aged >70 years, male, or who had obesity, anaemia. The study indicates that DSCP involvement reduces PJI risks and decreases annual medical costs for diabetic patients after arthroplasty. Consequently, the DSCP is a recommendable option for such patients who are preparing for total joint arthroplasty. [ABSTRACT FROM AUTHOR]

The functional restoration of Brown class III maxillary defects is a challenging endeavour in oral and maxillofacial surgery. Conventional reconstruction techniques with osseous free flaps have certain limitations, such as the need for multiple operations and greater patient morbidity. This study introduces a single-stage computer-assisted approach for tumour resection and functional restoration of these defects using titanium mesh, zygomatic implants, and a vascularized anterolateral thigh flap (ALTF). Virtual surgical planning was used to simulate tumour resection, titanium mesh placement, and zygomatic implant insertion. Surgery was performed under the guidance of mixed reality and surgical navigation. The tumour was resected by total hemimaxillectomy, and the reconstruction was performed using a pre-bent patient-specific titanium mesh for the orbital floor and two zygomatic implants placed and exposed through tunnels in an ALTF. The ALTF survived without any perioperative complications. A fixed prosthesis with built-in titanium frame was delivered 4 months postoperatively. At the 1-year follow-up, there was no tumour recurrence, the implants were osseointegrated, and aesthetics and masticatory function were satisfactory. An occlusal force of 155 N was attained on the reconstructed side, compared to 127 N on the non-surgical side. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Triple-negative breast cancer (TNBC) is an aggressive subtype with a poor prognosis. Minichromosome maintenance genes (MCM2-7) crucial for DNA replication are significant biomarkers for various tumor types; however, their roles in TNBC remain underexplored. MATERIALS AND METHODS: We utilized four TNBC-related GEO databases to examine MCM2-7 gene expression and predict its prognosis in TNBC, performing single-cell analysis and GSEA to discover MCM6's potential function. The Cancer Dependency Map gene effect scores and CCK8 assay were used to assess MCM6's impact on TNBC cell proliferation. The correlations between MCM6 expression, immune infiltrates, and immune cells were also analyzed. WGCNA and LASSO Cox regression built a risk score model predicting TNBC patient survival based on MCM6-related gene expression. RESULTS: MCM2-7 gene expression was higher in TNBC tissues compared to adjacent normal tissues. High MCM6 expression correlated with shorter TNBC patient survival time. GSEA and single-cell analysis revealed a relationship between elevated MCM6 expression and the cell cycle pathway. MCM6 knockdown inhibited TNBC cell proliferation. A risk model featuring MCM6, CDC23, and CCNB1 effectively predicts TNBC patient survival. CONCLUSIONS: MCM6 overexpression in TNBC links to a worse prognosis and reduced cell proliferation upon MCM6 knockdown. We developed a risk score model based on MCM6-related genes predicting TNBC patient prognosis, potentially assisting future treatment strategies. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Perioperative anxiety and depression syndrome (PADS) is a common clinical concern among women with systemic tumors. Esketamine has been considered for its potential to alleviate anxiety and depressive symptoms. However, its specific application and effectiveness in PADS among women with systemic tumors remain unclear. This study aimed to analyze the utility of Machine Learning (ML) algorithms based on electroencephalogram (EEG) signals in evaluating perioperative anxiety and depression in women with systemic tumors treated with Esketamine, utilizing a large-scale medical data background. PATIENTS AND METHODS: A single-center, randomized, placebo-controlled (SC-RPC) trial design was adopted. A total of 112 female patients with systemic tumors and PADS who received Esketamine treatment were included as study participants. A moderate dose (0.7 mg/kg) of Esketamine was administered through intravenous infusion over a duration of 60 minutes. EEG signals were collected from all patients, and the EEG signal features of individuals with depression were compared to those without depression. In this study, a Support Vector Machine (SVM)-K-Nearest Neighbour (KNN) hybrid classifier was constructed based on SVM and KNN algorithms. Using the EEG signals, the classifier was utilized to assess the anxiety and depression status of the patients. The predictive performance of the classifier was evaluated using accuracy, sensitivity, and specificity measures. RESULTS: The C2 correntropy feature of the delta rhythm in the left-brain EEG signal was significantly higher in individuals with depression compared to those without depression (p<0.05). Moreover, the C2 correntropy feature of the Alpha, Beta, and Gamma rhythms in the left-brain EEG signal was significantly lower in individuals with depression compared to those without depression (p<0.05). In the right brain EEG signal, the C2 correntropy feature of the delta rhythm was significantly higher in individuals with depression p<0.05), while the C2 correntropy feature of the alpha and gamma rhythms was significantly lower in individuals with depression compared to those without depression (p<0.05). Additionally, the C1 correntropy feature of the Gamma rhythm in the right brain EEG signal was significantly higher in individuals with depression compared to those without depression (p<0.05). The SVM classifier achieved accuracy, sensitivity, and specificity of 98.23%, 98.10%, and 98.56%, respectively, in recognizing the leftbrain EEG signals, with a correlation coefficient of 0.95. In recognizing the right brain EEG signals, the SVM classifier achieved accuracy, sensitivity, and specificity of 98.74%, 98.43%, and 99.03%, respectively, with a correlation coefficient of 0.96. The improved SVM-KNN approach yielded an accuracy, recall, precision, F-score, area over the curve (AOC), and Receiver Operation Characteristics (ROC) of 0.829, 0.811, 0.791, 0.853, 0.787, and 0.877, respectively, in predicting anxiety. For predicting depression, the accuracy, recall, precision, F-score, AOC, and ROC were 0.869, 0.842, 0.831, 0.893, 0.827, and 0.917, respectively. CONCLUSIONS: Significant differences were observed in the brain EEG signals between individuals with depression and those without depression. The improved SVM-KNN algorithm developed in this study demonstrates good predictive capability for anxiety and depression. [ABSTRACT FROM AUTHOR]

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OBJECTIVE: In this study, we investigated the internal relationship between the pathogenesis of diabetic kidney disease (DKD) and abnormal glucose and lipid metabolism to identify potential biomarkers for diagnosis and treatment and investigated the role of the immune microenvironment of glucose and lipid metabolism disorders in the occurrence and progression of DKD. MATERIALS AND METHODS: The chip datasets GSE104948 and GSE96804 from the Gene Expression Common Database (GEO) were merged using the "lima" and "sva" software packages in R Software (4.2.3), and the merged dataset was used as the validation set. The intersection between the differential genes of DKD and the glucose and lipid metabolism genes in the MSigDB database was identified, and a nomogram of the incidence risk of DKD was built using three machine learning methods, namely LASSO regression, support vector machine (SVM), and random forest (RF), to validate the accuracy of the prediction model. Immune scores were conducted using the unsupervised clustering method, and patients were divided into two subgroups. The two subgroups were screened for differential genes for enrichment analysis. The differential genes of patients diagnosed with DKD were clustered into two gene subgroups for co-expression analysis. In this study, we utilized the Cytoscape software to construct a network of interactions among key genes. RESULTS: Using machine learning, a diagnostic model was developed with G6PC and HSD17B14 as key factors. Enrichment analysis and immune scoring demonstrated that the development of DKD was related to the imbalance in the microenvironment brought about by glucose lipid metabolism disorders. CONCLUSIONS: G6PC and HSD17B14 may be potential biomarkers for DKD, and the established predictive model is more helpful in predicting the incidence of DKD. [ABSTRACT FROM AUTHOR]

Vegetation phenology is an important indicator of environmental change and strongly connected to forest ecosystem productivity change. This study aimed to analyse the pattern of phenological variations derived from digital imagery for the interpretation of ecosystem productivity. For 2014, 2015 and 2016, the seasonal phenological development of savanna was analysed by using towerbased imagery from a digital camera. The green excess index (GEI) was the best at representing the phenological transition dates (PTDs) and useful for investigating the gross primary production (GPP) in the savanna ecosystem. There was a significant correlation between the monthly pattern of the strength of green (Sgreen), green excess index (GEI) and vegetation contrast index (VCI) and GPP throughout the year. Additionally, the annual pattern of colour indices had significant relationship (p < 0.05) with GPP but this was not seasonal. The air temperature (air T) and soil temperature (soil T) were strongly significantly correlated (p < 0.001) with the start of growing season (SGS) and caused the advance in green-up and the timing of the start of the growing season in 2014 and 2016. The short growing season length (GSL) had an impact on the productivity. The colour indices from the digital camera images not only provided the phenological pattern of a forest canopy but also revealed the forest ecosystem productivity by showing the response to environmental factors. Our results indicate that daily continuous digital camera images might be useful for ecologists to use as a tool for future prediction of the long-term phenological modelling. [ABSTRACT FROM AUTHOR]

Nine surgical site infections caused by Serratia marcescens were diagnosed in neurosurgical patients in a 3500-bed hospital between 2nd February and 6th April 2022. To trace the source of infections caused by S. marcescens to expedite termination of the outbreak and prevent future epidemics. A review of all surgical procedures and cultures yielding S. marcescens since February 2022 was conducted. Samples were collected from patients and environmental sources. S. marcescens isolates were characterized by antibiotic susceptibility testing. Whole-genome sequencing (WGS) was used to investigate genetic relationships. Resistance genes, virulence genes and plasmid replicons were identified. S. marcescens was isolated from patients' puncture fluid, cerebrospinal fluid and other secretions, and was also cultured from the barbers' haircutting tools, including leather knives, slicker scrapers and razors. In total, 15 isolates were obtained from patients and eight isolates were obtained from haircutting tools. All isolates exhibited identical antibiotic resistance patterns. WGS revealed close clustering among the 23 isolates which differed significantly from previous strains. Three resistance genes and nine virulence-associated genes were detected in all isolates, and 19 of 23 isolates harboured an MOBP-type plasmid. The results confirmed an outbreak of S. marcescens , which was traced to contaminated haircutting tools in the hospital barber shop. The outbreak ended after extensive reinforcement of infection control procedures and re-education of the barbers. These results highlight the risk of postoperative infections related to pre-operative skin preparation, and demonstrate the value of next-generation sequencing tools to expedite outbreak investigations. [ABSTRACT FROM AUTHOR]

OBJECTIVE: We aimed to elucidate the prognostic significance of age in hepatoblastoma patients. PATIENTS AND METHODS: Data from 783 patients with hepatoblastoma were obtained from the Surveillance, Epidemiology and End Results database (2000-2018). The best age cut-off level was determined by X-tile, and the Kaplan-Meier method was used to estimate overall survival (OS) and cancer-specific survival (CSS). The results of the X-tile were verified by selecting the appropriate cut-off value to maximize the difference in survival outcomes at intervals of 1 year. The Cox regression model was used to determine the prognostic impact of risk factors and age. RESULTS: X-tile analysis determined that 2 years was the best cut-off age for OS and CSS. The overall prognosis in the = 2 years group was worse than that in the < 2 years group (OS: p = 0.00017; CSS: p < 0.0001). In Cox univariate analysis, when 2 years was used as the standard group, the numbers of patients in the two groups were similar, with high hazard ratio (HR) value and narrow 95% confidence interval (CI) (OS: HR, 1.834; 95% CI, 1.329 - 2.532; p < 0.001; CSS: HR, 1.988; 95% CI, 1.410 - 2.801; p < 0.001), which was consistent with the age cut-off point determined by X-tile. Cox multivariate analysis showed that age = 2 years, black ethnicity, no surgery, no chemotherapy, distant metastasis, and tumor size = 5 cm were independent predictors of poor OS and CSS. On subgroup analysis, patients aged = 2 years had worse survival if they were Caucasian, had elevated alpha-fetoprotein, tumor size = 5 cm, or distant metastasis. CONCLUSIONS: Age is an important prognostic factor for hepatoblastoma. Age = 2 years at diagnosis may predict poor prognosis and more active treatment measures can be implemented. [ABSTRACT FROM AUTHOR]

This study aimed to explore differences in prevalence, resistance, biofilm-forming ability and virulence between carbapenem-non-susceptible and carbapenem-susceptible Enterobacter cloacae complex (ECC) in different clusters. Ninety-one carbapenem-non-susceptible isolates and an equal number of carbapenem-susceptible isolates and their clinical information were collected from a university teaching hospital in China. The strains were divided into different clusters based on hsp60 analysis. The agar dilution method was used to determine the minimum inhibitory concentrations of common antibiotics. The crystal violet assay was used to measure biofilm-forming ability. The Galleria mellonella infection model and polymerase chain reaction of virulence genes were used to evaluate virulence. The isolates were divided into 12 clusters based on hsp60 analysis. Cluster VIII accounted for a greater proportion of carbapenem-non-susceptible isolates than the other clusters. The same clusters exhibited different resistance rates in carbapenem-non-susceptible and carbapenem-susceptible isolates. Moreover, carbapenem-non-susceptible isolates carried fewer virulence genes than carbapenem-susceptible isolates, and carbapenem-non-susceptible isolates in cluster II in did not carry the detected virulence genes. Virulence of carbapenem-non-susceptible and carbapenem-susceptible isolates differed significantly in clusters I, III, VIII and IX, as evaluated using the G. mellonella infection model. Carbapenem-non-susceptible isolates in cluster VIII showed higher prevalence, resistance, biofilm-forming ability and pathogenicity compared with the other clusters. The study findings indicate the need to identify subgroups of ECC, and provide better advice and guidance for the use of carbapenems. [ABSTRACT FROM AUTHOR]

OBJECTIVE: This work aimed to explore the therapeutic effect of micropump intravenous infusion of ambroxol hydrochloride (AH) on respiratory distress syndrome (RDS) in premature infants. PATIENTS AND METHODS: 56 premature infants from 28 to 34 weeks were recruited for analysis in this work. According to the treatment methods, they were randomly divided into two groups, with 28 patients in each group. Patients in the experimental group were given intravenous AH by micropump, while those in the control group inhaled atomized AH. The therapeutic effects were evaluated by comparing the data after treatment. RESULTS: The results showed that the serum 8-iso-PGP2α level in the experimental group was 166.32 ± 49.52, which was substantially inferior to that in the control group (183.32 ± 52.54), p < 0.05. In the experimental group, PaO2, SaO2, and PaO2/FiO2 were 95.88 ± 12.82 mmHg, 95.86 ± 2.27%, and 346.81 ± 51.93 mmHg, respectively, after 7 days of treatment. Compared with the control group (88.21 ± 12.82 mmHg, 93.18 ± 3.13%, and 266.83 ± 48.09 mmHg), the difference was statistically significant, p < 0.05. The oxygen duration, respiratory distress relief time, and length of stay were 95.12 ± 12.53 h, 4.4 ± 0.6 d, and 19.84 ± 2.8 d, respectively, in the experimental group, while they were 145.92 ± 13.85 h, 6.9 ± 0.9 d, and 28.42 ± 3.7 d, respectively, in the control group, showing great differences (p < 0.05). CONCLUSIONS: Micropump infusion of AH in the treatment of premature RDS patients was more conducive to efficacy. It can alleviate the clinical symptoms of children with RDS, improve their blood gas indicators, relieve and repair the damage to alveolar epithelial cell lipids in children with RDS, and ultimately improve the therapeutic effect, which can be used for the clinical treatment of premature RDS. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Autism spectrum disorder is a group of neurodevelopmental disorders. The disease’s etiology is unclear, and there is no specific drug treatment for the core symptoms of autism spectrum disease. The study aims to explore effective intervention methods for children with autism spectrum disorders. MATERIALS AND METHODS: This paper proposes a visual strategy intervention method for children with autism spectrum disorders. This method combines feature extraction and abnormal behavior detection and can use a visual cue strategy to integrate children into social groups. Firstly, the spatial-temporal feature fusion structure is added to extract behavioral features from children, and the spatial information contained in MotionNet is fused with temporal features. Optical Flow Feature (OFF) subnetwork is added to the optical flow extraction feature network. Each layer feature is input to the OFF subnet to extract the time feature further. Then, a behavior detection method based on the sequential pool is proposed. This method combines attention mechanism and clustering pool to effectively describe human behavior dynamics in the long, redundant video under complex background. Finally, feature extraction and behavior detection experiments are carried out on SDUFall, Weizmann, and HMDB51 data sets. RESULTS: The model’s accuracy is still slightly higher than others in that only the video RedGreen-Blue (RGB) frame is used as input. Compared with OFF, SDUFall can reach 88.64%, and HMDB51 can only reach 63.81%. In contrast, the proposed model can reach 72.09%, higher than others. The descriptor obtained the best result of 92.57%, which is 3.64%, 2.58%, and 1.73% higher than the other three comparison descriptors. The data show that the method presented here is effective and has advantages in detecting children’s abnormal behavior. CONCLUSIONS: This method and visual intervention for children with autism spectrum disorders can help them to overcome social barriers. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Atherosclerosis (As) is an inflammatory disease, and 2,3,4',5-tetrahydroxystilbene-2-O-ß-d-glucoside (TSG) has been shown to suppress inflammation. However, it is still unclear if TSG alleviates As by inhibiting inflammation. MATERIALS AND METHODS: Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to assess the mRNA levels of tumor necrosis factor (TNF) receptor-associated factor 6 (TRAF6), TNF-a and interleukin-6 (IL-6) in lipoprotein E knockout (ApoE -/-) mice with As. Hematoxylin-eosin (H&E) staining was performed to examine the atherosclerotic plaques in the aortic sinus. QRT-PCR and western blotting were used to measure the expression levels of TRAF6, TNF-a, and IL-6 in human umbilical vein endothelial cells (HUVECs), and enzyme-linked immunosorbent assays (ELISAs) were performed to monitor the levels of TNF-a and IL-6 in serum and cell culture medium. RESULTS: TSG inhibited subendothelial plaques formation in the aortic sinus and inhibited the levels of total cholesterol (TCHO), low-density lipoprotein (LDL), TRAF6, TNF-a and IL-6 in AS mice in a dose-dependent manner. Moreover, TSG attenuated the oxidatively modified LDL (ox-LDL)-induced increases in TRAF6, TNF-a and IL-6 expression, whereas TRAF6 overexpression reversed the TSG-induced decreases in TRAF6, TNF-a, and IL-6 expression in HUVECs. CONCLUSIONS: TSG attenuates atherosclerotic progression by inhibiting inflammation via the downregulation of TRAF6 in ApoE-/- mice and HUVECs. [ABSTRACT FROM AUTHOR]

Intervertebral disc degeneration (IDD) has been reported to be a major cause of low back pain (LBP). Interleukin (IL)-37 is an anti-inflammatory cytokine of the interleukin-1 family, which exerts salutary physiological effects. In this study, we assessed the protective effect of IL-37 on IDD progression and its underlying mechanisms. Immunofluorescence (IF) was conducted to measure IL-37 expression in nucleus pulposus tissues. CCK-8 assay and Edu staining were used to examine the vitality of IL-37-treated nucleus pulposus cells (NPCs). Western blot, qPCR, ELISA as well as immunohistochemistry were used to assess senescence associated secreted phenotype (SASP) factors expression; and NF-κB pathway was evaluated by western blot and IF; while IL-1R8 knock-down by siRNAs was performed to ascertain its significance in the senescence phenotype modulated by IL-37. The therapeutic effect of IL-37 on IDD were evaluated in puncture-induced rat model using X-ray, Hematoxylin-Eosin, Safranin O-Fast Green (SO), and alcian blue staining. We found IL-37 expression decreased in the IDD process. In vitro , IL-37 suppressed SASP factors level and senescence phenotype in IL-1β treated NPCs. In vivo , IL-37 alleviated the IDD progression in the puncture-induced rat model. Mechanistic studies demonstrated that IL-37 inhibited IDD progression by downregulating NF-κB pathway activation in NPCs by activating IL-1R8. The present study suggests that IL-37 delays the IDD development through the IL-1R8/NF-κB pathway, which suggests IL-37 as a promising novel target for IDD therapy. [ABSTRACT FROM AUTHOR]

OBJECTIVE: The aim of this study was to investigate the effect of recombinant human B-type natriuretic peptide (rhBNP) on improving ventricular function in patients with ST-elevation myocardial infarction (STEMI). PATIENTS AND METHODS: In this retrospective study, 96 patients with STEMI admitted to Cangzhou Central Hospital from June 2017 to June 2019 were recruited and randomized to either a control group or an experimental group, with 48 patients in each group. Patients in both groups were given conventional pharmacological therapy, and an emergency coronary intervention was performed within 12 hours. Patients in the experimental group received rhBNP intravenously postoperatively, whereas patients in the control group received an equal amount of 0.9% NaCl solution through an intravenous drip. Postoperative recovery indicators were compared between the two groups. RESULTS: Patients treated with rhBNP showed better postoperative respiratory frequency, heart rate, blood oxygen saturation, pleural effusion, acute left heart remodeling after surgery and central venous pressure at 1-3 days after surgery than those without (p<0.05). Early diastolic blood flow velocity/early diastolic motion velocity (E/Em) and wall-motion score indices (WMSI) of patients in the experimental group were markedly lower compared to the control group one week after surgery (p<0.05). Patients receiving rhBNP had better left ventricular ejection fraction (LVEF) and WMSI six months after surgery and higher left ventricular end diastolic volume (LVEDV) and LVEF one week after surgery than the controls (p<0.05). Administration of rhBNP for patients with STMI provided a higher treatment safety by significantly reducing the incidence of left ventricular remodeling and complication than conventional medication (p<0.05). CONCLUSIONS: Intervention with rhBNP in STEMI patients could effectively inhibit ventricular remodeling, alleviate symptoms, reduce adverse complications and improve ventricular function. [ABSTRACT FROM AUTHOR]

Fractures are commonly encountered in clinical practice. Early diagnosis and individualized treatment are the basis for achieving high-quality fracture healing and functional recovery. Radiographic examinations play an important role in the diagnosis and treatment of fractures. In recent years, with the innovation in ultrasonic examination technology and equipment, its application in the diagnosis and treatment of fractures has greatly increased. Long bone, rib, radius and ulnar, metacarpal, cartilage, nasal bone, and occult are common fracture types. Ultrasound has long been used in fracture diagnosis and treatment. This narrative review summarizes and discusses the application of ultrasound in the diagnosis and treatment of fractures. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Rehabilitation of disabled children with autism has become a challenge for current rehabilitation centres. This study conducted psychological investigations on disabled children and analysed the symptoms and characteristics of autism in these children to develop more reasonable rehabilitation treatment plans that would help the children receive psychological counselling and effective rehabilitation. SUBJECTS AND METHODS: This study investigated 107 disabled children from the Disabled Rehabilitation Research Centre of the South China Minority Autonomous Region. Using the PEP-3 scale as a research tool, a questionnaire was developed to investigate and collect data on the mental health of disabled children. The survey was conducted from 2017 to 2021, and 107 children's mental health data were collected in the form of questionnaires based on PEP-3 evaluation indicators. After cleaning the data, the questionnaire data were screened and processed. Descriptive statistical and correlation analysis tools were used for model analysis to understand the overall data distribution and the potential relationships among various data variables. RESULTS: The results of correlation analysis showed that cognition, language expression, language understanding, emotion, and social interaction in the subtest of developmental behaviour were the main indicators of the degree of autism in children. These indicators had a strong and significant correlation with the comprehensive score. Moreover, these indicators had a significant correlation with the individual self-care and adaptive behaviours reported by the children's caregivers. Small muscles, big muscles, and imitation (vision and movement) indicators had a significant correlation with problematic behaviours and physical fitness, and language and cognitive indicators also had a strong correlation with emotion and social interaction. CONCLUSIONS: Emphasis should be placed on the improvement of the language and cognitive abilities of disabled children with autism, and corresponding rehabilitation plans, and trainings can be formulated according to children with different degrees of illness to get a better rehabilitation outcome. Further, identification of key indicators of autism will be of help in aiding the development of rehabilitation treatment for disabled children with autism and formulation of long-term rehabilitation plans. [ABSTRACT FROM AUTHOR]

Lymphoepithelial carcinoma is rare in the salivary glands, with an incidence of 0.4%. The most commonly affected site is the parotid gland, followed by the submandibular gland. Lymphoepithelial carcinoma in the sublingual gland has been reported only four times in the existing English-language literature. Such tumours are characterized by the presence of a poorly differentiated carcinoma that is surrounded and infiltrated by lymphocytes, and they are strongly associated with Epstein–Barr virus infection, patient ethnicity, and prominent radiosensitivity. Wide surgical excision combined with adjuvant therapy has been suggested as the first-choice therapeutic regimen. This report describes the case of a 34-year-old Indonesian woman who was evaluated and treated in Taipei Medical University Hospital. She had a tumour that presented as a painless swelling on the floor of the mouth. The diagnosis was confirmed by conducting an incisional biopsy, and a wide surgical excision with bilateral supraomohyoid neck dissection and free flap reconstruction was performed. The patient also underwent adjuvant chemoradiotherapy. No evidence of local recurrence or distant metastasis was detected during the 6 months of follow-up. Subsequently, the patient returned to her home country, and further follow-ups were not conducted. [ABSTRACT FROM AUTHOR]