[Related factors of endogenous erythropoietin and its association with 10-year risks of cardiovascular disease in a community-based Chinese study].

OBJECTIVE: To investigate the associated factors of endogenous erythropoietin (EPO) and its association with 10-year risks of atherosclerotic cardiovascular disease in a Chinese community-based general population. METHODS: The participants of this study were from an atherosclerosis cohort survey which was established by the Department of Cardiology, Peking University First Hospital in 2011. The cohort survey was performed in the Gucheng and Pingguoyuan communities of Shijingshan district in Beijing, China. The inclusion criteria of this study were: (1) endogenous EPO was measured; (2) health questionnaire data and other clinical data were complete; (3) participatants who had cardiovascular or cerebrovascular diseases (defined as self-reported coronary heart disease, stroke or transient ischemic attack) or anemia or estimated glomerular filtration rate (eGFR) < 60 mL/(min·1.73 m2) at baseline were excluded. Multivariate linear regression model was used to examine the associated factors of endogenous EPO. The participants were grouped into low (< 5%), moderate (5%-10%) and high risk (≥10%) groups, based on predicted 10-year cardiovascular disease risk using the prediction for atherosclerotic cardiovascular disease risk in China (China-PAR) equations. RESULTS: A total of 4 013 participants were included. Mean age of them was (55.9±8.2) years, 62.2% (n=2 496) of them were female, and 46.3% (n=1 859), 70.9% (n=2 845), 21.9% (n=879) had hypertension, dyslipidemia and diabetes, individually. The average body mass index was (26.1±3.3) kg/m2. The median of EPO level was 12.8 (9.3-17.4) IU/L and 25.1% (n=998) were at high 10-years risk of cardiovascular disease. Hemoglobin (ß=-0.05, 95%CI: -0.07 to -0.04) and eGFR ≥90 mL/(min·1.73 m2) (ß=-0.05, 95%CI: -0.07 to -0.04) were associated with lower in transformed EPO levels while hypertension (ß=0.08, 95%CI: 0.05 to 0.12) and obesity (ß=0.14, 95%CI: 0.09 to 0.18) were associated with higher in transformed EPO levels in multivariate linear regression analyses. Ten-year cardiovascular disease risks were positively associated with in transformed EPO levels (ß=0.07, 95%CI: 0.05 to 0.09). The participants at moderate and high cardiovascular disease risks had significant higher EPO levels than the low risk group (all P < 0.05). CONCLUSION: In community-based Beijing populations, endogenous EPO was associated with hemoglobin, renal function, obesity and hypertension. Individuals at high 10-years cardiovascular disease risks have higher endogenous EPO levels. Endogenous EPO may be a potential risk marker of cardiovascular disease.

Systematic survey on data security in wireless body area networks in IoT healthcare system.

In the Internet of Things (IoT) healthcare sector, the wireless body area network (WBAN) is being used to optimize medical results by tracking and treating patients as they go about their daily lives. Health insurance has also been one of the cybercriminal's main goals. The Systematic Review of IoT Healthcare systems particularly wireless body area networks is significant, to reach the benefits and challenges faced by existing methods in the domain. This study provides a systematic survey of WBAN data protection. Various types of devices are used in medical science to detect and diagnose diseases. The network is an integral part of medical science in today's era. In medical sciences, sensors take data from a problematic place like cancerous cells. This research discussed a lot of techniques in the literature review. Most of them are not able to fulfill the requirements. If an unauthorized person reaches the data that can be a severe issue, like the diagnosed disease was blood cancer, and after unauthorized access manipulation can change even the diagnosed issue in the database. A doctor can prescribe the medication based on provided data that has been manipulated by unauthorized persons. Several existing schemes are explored in the literature to determine how the protection of sharing patients' healthcare data can be improved. The systematic literature review (SLR) of multiple security schemes for WBAN is presented in this survey paper.

DDFC: deep learning approach for deep feature extraction and classification of brain tumors using magnetic resonance imaging in E-healthcare system.

This research explores the use of gated recurrent units (GRUs) for automated brain tumor detection using MRI data. The GRU model captures sequential patterns and considers spatial information within individual MRI images and the temporal evolution of lesion characteristics. The proposed approach improves the accuracy of tumor detection using MRI images. The model's performance is benchmarked against conventional CNNs and other recurrent architectures. The research addresses interpretability concerns by employing attention mechanisms that highlight salient features contributing to the model's decisions. The proposed model attention-gated recurrent units (A-GRU) results show promising results, indicating that the proposed model surpasses the state-of-the-art models in terms of accuracy and obtained 99.32% accuracy. Due to the high predictive capability of the proposed model, we recommend it for the effective diagnosis of Brain tumors in the E-healthcare system.

Astragalus membranaceus Polysaccharide Regulates Small Intestinal Microbes and Activates IL-22 Signal Pathway to Promote Intestinal Stem Cell Regeneration in Aging Mice.

Aging can cause degenerative changes in multiple tissues and organs. Gastrointestinal diseases and dysfunctions are common in the elderly population. In this study, we investigated the effects of Astragalus membranaceus polysaccharide (APS) and Astragalus membranaceus ethanol extract (AEE) on age-related intestinal dysfunction and gut microbiota dysbiosis in naturally aging mice. The energy expenditure and physical activity of 23-month-old C57BL6/J mice were recorded using a metabolic cage system. Pathological changes in the intestine were evaluated using Alcian blue staining. The protein levels of leucine-rich repeats containing G protein-coupled receptor 5 (Lgr5) and Stat3 in the small intestine were determined using immunohistochemistry. The intestinal cell migration distance was assessed using bromodeoxyuridine (BrdU) immunofluorescence staining. The gene transcription levels of intestinal stem cell (ISC) markers and ISC-related signaling pathways were detected using quantitative real-time PCR (qRT-PCR). Microbiota analysis based on 16S rDNA was performed to evaluate the composition of the gut microbiota. APS and AEE improved a series of aging phenotypes in female but not in male aging mice. APS and AEE ameliorate intestinal dysfunction and histopathological changes in aging mice. APS had a more significant anti-aging effect than AEE, particularly on intestinal dysfunction. APS promotes ISC regeneration by activating the IL-22 signaling pathway. Cohousing (CH) experiments further confirmed that APS induced the IL-22 signaling pathway by increasing the abundance of Lactobacillus, thereby promoting the regeneration of ISCs. Our results show that APS may serve as a promising agent for improving age-related intestinal dysfunction.

Feature elimination and stacking framework for accurate heart disease detection in IoT healthcare systems using clinical data.

Introduction: Heart disease remains a complex and critical health issue, necessitating accurate and timely detection methods. Methods: In this research, we present an advanced machine learning system designed for efficient and precise diagnosis of cardiac disease. Our approach integrates the power of Random Forest and Ada Boost classifiers, along with incorporating data pre-processing techniques such as standard scaling and Recursive Feature Elimination (RFE) for feature selection. By leveraging the ensemble learning technique of stacking, we enhance the model's predictive performance by combining the strengths of multiple classifiers. Results: The evaluation metrics results demonstrate the superior accuracy and obtained the higher performance in terms of accuracy, 99.25%. The effectiveness of our proposed system compared to baseline models. Discussion: Furthermore, the utilization of this system within IoT-enabled healthcare systems shows promising potential for improving heart disease diagnosis and ultimately enhancing patient outcomes.

Conversion therapy of a giant hepatocellular carcinoma with portal vein thrombus and inferior vena cava thrombus: A case report and review of literature.

BACKGROUND: The prognosis of hepatocellular carcinoma (HCC) combined with portal and hepatic vein cancerous thrombosis is poor, for unresectable patients the combination of targeted therapy and immune therapy was the first-line recommended treatment for advanced HCC, with a median survival time of only about 2.7-6 months. In this case report, we present the case of a patient with portal and hepatic vein cancerous thrombosis who achieved pathologic complete response after conversion therapy. CASE SUMMARY: In our center, a patient with giant HCC combined with portal vein tumor thrombus and hepatic vein tumor thrombus was treated with transcatheter arterial chemoembolization (TACE), radiotherapy, targeted therapy and immunotherapy, and was continuously given icaritin soft capsules for oral regulation. After 7 months of conversion therapy, the patient's tumor shrank and the tumor thrombus subsided significantly. The pathology of surgical resection was in complete remission, and there was no progression in the postoperative follow-up for 7 months, which provided a basis for the future strategy of combined conversion therapy. CONCLUSION: In this case, atezolizumab, bevacizumab, icaritin soft capsules combined with radiotherapy and TACE had a good effect. For patients with hepatocellular carcinoma combined with hepatic vein/inferior vena cava tumor thrombus, adopting a high-intensity, multimodal proactive strategy under the guidance of multidisciplinary team (MDT) is an important attempt to break through the current treatment dilemma.

Intelligent tumor tissue classification for Hybrid Health Care Units.

Introduction: In the evolving healthcare landscape, we aim to integrate hyperspectral imaging into Hybrid Health Care Units to advance the diagnosis of medical diseases through the effective fusion of cutting-edge technology. The scarcity of medical hyperspectral data limits the use of hyperspectral imaging in disease classification. Methods: Our study innovatively integrates hyperspectral imaging to characterize tumor tissues across diverse body locations, employing the Sharpened Cosine Similarity framework for tumor classification and subsequent healthcare recommendation. The efficiency of the proposed model is evaluated using Cohen's kappa, overall accuracy, and f1-score metrics. Results: The proposed model demonstrates remarkable efficiency, with kappa of 91.76%, an overall accuracy of 95.60%, and an f1-score of 96%. These metrics indicate superior performance of our proposed model over existing state-of-the-art methods, even in limited training data. Conclusion: This study marks a milestone in hybrid healthcare informatics, improving personalized care and advancing disease classification and recommendations.

Luspatercept enhances hemoglobin levels in a Chinese boy with congenital sideroblastic anemia: A case report.

BACKGROUND: Congenital sideroblastic anemia (CSA) is a rare and heterogeneous group of genetic disorders. Conventional treatment include pyridoxine (vitamin B6) and allogeneic hematopoietic stem cell transplantation (allo-HSCT), and can alleviate anemia in the majority of cases. Nevertheless, some CSA cases remain unresponsive to pyridoxine or are unable to undergo allo-HSCT. Novel management approaches is necessary to be developed. To explore the response of luspatercept in treating congenital sideroblastic anemia. CASE SUMMARY: We share our experience in luspatercept in a 4-year-old male patient with CSA. Luspatercept was administered subcutaneously at doses of 1.0 mg/kg/dose to 1.25 mg/kg/dose every 3 wk, three consecutive doses, evaluating the hematological response. Luspatercept leading to a significant improvement in the patient's anemia. The median hemoglobin during the overall treatment with three doses of luspatercept was 90 (75-101) g/L, the median absolute reticulocyte count was 0.0593 (0.0277-0.1030) × 1012/L, the median serum ferritin was 304.3 (234.4-399) ng/mL, and the median lifespan of mature red blood cells was 80 (57-92) days. Notably, no adverse reactions, such as headaches, dizziness, vomiting, joint pain, or back pain, were observed during the treatment period. CONCLUSION: We believe that luspatercept might emerge as a viable therapeutic option for the maintenance treatment of CSA or as a bridging treatment option before hematopoietic stem cell transplantation.