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BACKGROUND AND OBJECTIVES: Ambiguity in diagnosing acute heart failure (AHF) leads to inappropriate treatment and potential side effects of rescue medications. To address this issue, this study aimed to use multimodality deep learning models combining chest X-ray (CXR) and electronic health record (EHR) data to screen patients with abnormal N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels in emergency departments. METHODS: Using the open-source dataset MIMIC-IV and MIMICCXR, the study population consisted of 1,432 patients and 1,833 pairs of CXRs and EHRs. We processed the CXRs, extracted relevant features through lung-heart masks, and combined these with the vital signs at triage to predict corresponding NT-proBNP levels. RESULTS: The proposed method achieved a 0.89 area under the receiver operating characteristic curve by fusing predictions from single-modality models of heart size ratio, radiomic features, CXR, and the region of interest in the CXR. The model can accurately predict dyspneic patients with abnormal NT-proBNP concentrations, allowing physicians to reduce the risks associated with inappropriate treatment. CONCLUSION: The study provided new image features related to AHF and offered insights into future research directions. Overall, these models have great potential to improve patient outcomes and reduce risks in emergency departments.
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BACKGROUND: When treating patients with coronary artery disease and concurrent renal concerns, we often encounter a conundrum: how to achieve a clearer view of vascular details while minimizing the contrast and radiation doses during percutaneous coronary intervention (PCI). Our goal is to use deep learning (DL) to create a real-time roadmap for guiding PCI. To this end, segmentation, a critical first step, paves the way for detailed vascular analysis. Unlike traditional supervised learning, which demands extensive labeling time and manpower, our strategy leans toward semi-supervised learning. This method not only economizes on labeling efforts but also aims at reducing contrast and radiation exposure. METHODS AND RESULTS: CAG data sourced from eight tertiary centers in Taiwan, comprising 500 labeled and 8952 unlabeled images. Employing 400 labels for training and reserving 100 for validation, we built a U-Net based network within a teacher-student architecture. The initial teacher model was updated with 8952 unlabeled images inputted, employing a quality control strategy involving consistency regularization and RandAugment. The optimized teacher model produced pseudo-labels for label expansion, which were then utilized to train the final student model. We attained an average dice similarity coefficient of 0.9003 for segmentation, outperforming supervised learning methods with the same label count. Even with only 5 % labels for semi-supervised training, the results surpassed a supervised method with 100 % labels inputted. This semi-supervised approach's advantage extends beyond single-frame prediction, yielding consistently superior results in continuous angiography films. CONCLUSIONS: High labeling cost hinders DL training. Semi-supervised learning, quality control, and pseudo-label expansion can overcome this. DL-assisted segmentation potentially provides a real-time PCI roadmap and further diminishes radiation and contrast doses.
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Vasos Coronarios , Aprendizaje Profundo , Aprendizaje Automático Supervisado , Humanos , Vasos Coronarios/diagnóstico por imagen , Intervención Coronaria Percutánea/métodos , Enfermedad de la Arteria Coronaria/diagnóstico por imagen , Angiografía Coronaria/métodos , Procesamiento de Imagen Asistido por Computador/métodosRESUMEN
The left ventricular global longitudinal strain (LVGLS) is a crucial prognostic indicator. However, inconsistencies in measurements due to the speckle tracking algorithm and manual adjustments have hindered its standardization and democratization. To solve this issue, we proposed a fully automated strain measurement by artificial intelligence-assisted LV segmentation contours. The LV segmentation model was trained from echocardiograms of 368 adults (11,125 frames). We compared the registration-like effects of dynamic time warping (DTW) with speckle tracking on a synthetic echocardiographic dataset in experiment-1. In experiment-2, we enrolled 80 patients to compare the DTW method with commercially available software. In experiment-3, we combined the segmentation model and DTW method to create the artificial intelligence (AI)-DTW method, which was then tested on 40 patients with general LV morphology, 20 with dilated cardiomyopathy (DCMP), and 20 with transthyretin-associated cardiac amyloidosis (ATTR-CA), 20 with severe aortic stenosis (AS), and 20 with severe mitral regurgitation (MR). Experiments-1 and -2 revealed that the DTW method is consistent with dedicated software. In experiment-3, the AI-DTW strain method showed comparable results for general LV morphology (bias - 0.137 ± 0.398%), DCMP (- 0.397 ± 0.607%), ATTR-CA (0.095 ± 0.581%), AS (0.334 ± 0.358%), and MR (0.237 ± 0.490%). Moreover, the strain curves showed a high correlation in their characteristics, with R-squared values of 0.8879-0.9452 for those LV morphology in experiment-3. Measuring LVGLS through dynamic warping of segmentation contour is a feasible method compared to traditional tracking techniques. This approach has the potential to decrease the need for manual demarcation and make LVGLS measurements more efficient and user-friendly for daily practice.
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Background: Cardiovascular diseases are the leading cause of death among patients on hemodialysis, with approximately 40% of the cardiovascular deaths linked to acute coronary syndrome. We aimed to investigate the incidence and risk factors of acute coronary syndrome in patients undergoing hemodialysis. Methods: Patients undergoing hemodialysis were prospectively enrolled from January 2018. Data regarding hospitalization due to acute coronary syndrome were collected at 3-month intervals through December 31, 2021. Cox regression model was used to estimate the association between baseline factors and incident acute coronary syndrome during follow-up. Results: Patients' mean age was 66 years, 48% were men, and 16% had a history of coronary artery disease at enrolment. Over a median follow-up of 1,187 days, 85 patients were hospitalized due to acute coronary syndrome. Left main or triple vessel disease was identified in 67 patients. Risk factors associated with incident acute coronary syndrome included aging, male sex, smoking, low diastolic blood pressure, and baseline comorbidities, in addition to dialysis factors including low urea clearance, central venous catheter use, and history of dialysis access dysfunction. After multivariate analysis, age, diabetes, hyperlipidemia, smoking, and frequent interventions for vascular access remained significant risk factors. Conclusions: A high acute coronary syndrome incidence was observed in our cohort, with traditional risk factors playing a consistent role with that in the general population. A history of frequent dialysis access dysfunction was also associated with incident acute coronary syndrome.
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PURPOSE: This study seeks to build a normative database for the vessel density of the superficial retina (SVD) and evaluate how changes and trends in the retinal microvasculature may be influenced by age and axial length (AL) in non-glaucomatous eyes, as measured with optical coherence tomography angiography (OCTA). METHODS: We included 500 eyes of 290 healthy subjects visiting a county hospital. Each participant underwent comprehensive ophthalmological examinations and OCTA to measure the SVD and thickness of the macular and peripapillary areas. To analyze correlations between SVD and age or AL, multivariable linear regression models with generalized estimating equations were applied. RESULTS: Age was negatively correlated with the SVD of the superior, central, and inferior macular areas and the superior peripapillary area, with a decrease rate of 1.06%, 1.36%, 0.84%, and 0.66% per decade, respectively. However, inferior peripapillary SVD showed no significant correlation with age. AL was negatively correlated with the SVD of the inferior macular area and the superior and inferior peripapillary areas, with coefficients of -0.522%/mm, -0.733%/mm, and -0.664%/mm, respectively. AL was also negatively correlated with the thickness of the retinal nerve fiber layer and inferior ganglion cell complex (p = 0.004). CONCLUSION: Age and AL were the two main factors affecting changes in SVD. Furthermore, AL, a relative term to represent the degree of myopia, had a greater effect than age and showed a more significant effect on thickness than on SVD. This relationship has important implications because myopia is a significant issue in modern cities.
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Miopía , Vasos Retinianos , Humanos , Retina , Tomografía de Coherencia Óptica/métodos , Fibras Nerviosas , EnvejecimientoRESUMEN
Ambulatory blood pressure (ABP) and home blood pressure (HBP) monitoring is currently recommended for management of hypertension. Nonetheless, traditional HBP protocols could overlook diurnal fluctuations, which could also be linked with adverse cardiovascular outcomes. In this observational study, we studied among a group of treated hypertensive patients (N = 62, age: 52.4 ± 10.4 years) by using out-of-office ABP and wearable HBP. They received one session of 24-h ABP measurement with an oscillometric upper-arm monitor, and totally three sessions of 7-day/6-time-daily wearable HBP measurement separated in each month with HeartGuide. Controlled hypertension is defined as an average BP <130/80 mmHg for both daytime ABP and HBP. There was substantial reliability (intraclass correlation coefficient, ICC 0.883-0.911) and good reproducibility (Cohen's kappa = 0.600) for wearable HBP measurement, especially before breakfast and after dinner. Among all patients, 27.4% had both uncontrolled HBP and ABP, 30.6% had uncontrolled HBP only, while 6.5% had uncontrolled ABP only. Female gender and increased numbers of anti-hypertensive agents are correlated with controlled hypertension. Patients with uncontrolled hypertension had a significantly higher maximal daytime blood pressure, which was previously signified as an imperial marker for cardiovascular risk. In conclusion, wearable HBP monitoring in accordance with a dedicated daily-living schedule results in good reliability and reproducibility. Patients with an uncontrolled wearable HBP should benefit from repeated HBP or ABP measurement for risk stratification.
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Hipertensión , Dispositivos Electrónicos Vestibles , Adulto , Femenino , Humanos , Persona de Mediana Edad , Presión Sanguínea/fisiología , Determinación de la Presión Sanguínea/métodos , Monitoreo Ambulatorio de la Presión Arterial , Hipertensión/diagnóstico , Hipertensión/tratamiento farmacológico , Reproducibilidad de los Resultados , MasculinoRESUMEN
The proliferation of wearable devices has allowed the collection of electrocardiogram (ECG) recordings daily to monitor heart rhythm and rate. For example, 24-hour Holter monitors, cardiac patches, and smartwatches are widely used for ECG gathering and application. An automatic atrial fibrillation (AF) detector is required for timely ECG interpretation. Deep learning models can accurately identify AFs if large amounts of annotated data are available for model training. However, it is impractical to request sufficient labels for ECG recordings for an individual patient to train a personalized model. We propose a Siamese-network-based approach for transfer learning to address this issue. A pre-trained Siamese convolutional neural network is created by comparing two labeled ECG segments from the same patient. We sampled 30-second ECG segments with a 50% overlapping window from the ECG recordings of patients in the MIT-BIH Atrial Fibrillation Database. Subsequently, we independently detected the occurrence of AF in each patient in the Long-Term AF Database. By fine-tuning the model with the 1, 3, 5, 7, 9, or 11 ECG segments ranging from 30 to 180 s, our method achieved macro-F1 scores of 96.84%, 96.91%, 96.97%, 97.02%, 97.05%, and 97.07%, respectively.
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Fibrilación Atrial , Humanos , Fibrilación Atrial/diagnóstico , Redes Neurales de la Computación , Electrocardiografía/métodos , Aprendizaje Automático , AlgoritmosRESUMEN
Background Myocardial steatosis and fibrosis may play a role in the pathophysiology of heart failure with preserved ejection fraction. We therefore investigated the prognostic significance of epicardial fat (epicardial adipose tissue [EAT]) and myocardial diffuse fibrosis. Methods and Results Myocardial fibrosis, estimated as extracellular volume (ECV), and EAT were measured using cardiac magnetic resonance imaging in 163 subjects with heart failure with preserved ejection fraction. We also evaluated cardiac structure and diastolic and systolic function by echocardiography and cardiac magnetic resonance imaging. After 24 months' follow-up, 39 (24%) subjects had experienced cardiovascular events, including hospitalization for heart failure, acute coronary syndrome, and cardiovascular death. Median EAT and mean ECV were significantly higher in subjects with cardiovascular events than survivors (EAT, 35 [25-45] versus 31 [21-38], P=0.006 and ECV, 28.9±3.16% versus 27.2±3.56%, P=0.04). Subjects with high EAT (≥42 g) had increased risk of cardiovascular events (hazard ratio [HR], 2.528 [95% CI, 1.704-4.981]; P=0.032). High ECV (>29%) was also significantly associated with poorer outcomes (HR, 1.647 [95% CI, 1.263-2.548]; P=0.013). With respect to secondary end points, high EAT and high ECV were associated with increased risk of the incident acute coronary syndrome (HR, 1.982 [95% CI, 1.008-4.123]; P=0.049) and hospitalization for heart failure (HR, 1.789 [95% CI, 1.102-6.987]; P=0.033), respectively. Conclusions Our study suggested that increased epicardial fat and ECV detected by cardiac magnetic resonance imaging have an impact on cardiovascular prognosis, in particular acute coronary syndrome and hospitalization for heart failure, respectively.
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Síndrome Coronario Agudo , Insuficiencia Cardíaca , Humanos , Síndrome Coronario Agudo/diagnóstico por imagen , Pronóstico , Volumen Sistólico , Insuficiencia Cardíaca/diagnóstico por imagen , Imagen por Resonancia MagnéticaRESUMEN
Background: Peripheral arterial disease (PAD) is more common in patients receiving maintenance hemodialysis than in the general population. Critical limb ischemia (CLI), the most severe form of PAD, is associated with high amputation and mortality risk. However, few prospective studies are available evaluating this disease's presentation, risk factors and outcomes for patients receiving hemodialysis. Methods: The Hsinchu VA study, a prospective multicentre study, investigated the impact of clinical factors on cardiovascular outcomes of patients receiving maintenance hemodialysis from January 2008 until December 2021. We evaluated the presentations and outcomes of patients with newly diagnosed PAD and the correlations of clinical variables with newly diagnosed CLI. Results: Of 1136 study participants, 1038 had no PAD on enrolment. After a median follow-up period of 3.3 years, 128 had newly diagnosed PAD. Of these, 65 presented with CLI, and 25 underwent amputation or died from PAD. Patients presenting with CLI had more below-the-knee (52%) and multi-level (41%) disease, and completely occluded segments (41%), and higher risk for amputation or PAD-related death compared with patients without CLI (27.7% vs 9.5%, P = .01). After multivariate adjustment, disability, diabetes mellitus, current smoking and atrial fibrillation were significantly associated with newly diagnosed CLI. Conclusions: Patients undergoing hemodialysis had higher rates of newly diagnosed CLI than the general population. Those with disabilities, diabetes mellitus, smoking and atrial fibrillation may require careful examination for PAD. Trial registration: Hsinchu VA study, ClinicalTrials.gov identifier: NCT04692636.
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BACKGROUND: Glaucoma is one of the major causes of blindness; it is estimated that over 110 million people will be affected by glaucoma worldwide by 2040. Research on glaucoma detection using deep learning technology has been increasing, but the diagnosis of glaucoma in a large population with high incidence of myopia remains a challenge. This study aimed to provide a decision support system for the automatic detection of glaucoma using fundus images, which can be applied for general screening, especially in areas of high incidence of myopia. METHODS: A total of 1,155 fundus images were acquired from 667 individuals with a mean axial length of 25.60 ± 2.0 mm at the National Taiwan University Hospital, Hsinchu Br. These images were graded based on the findings of complete ophthalmology examinations, visual field test, and optical coherence tomography into three groups: normal (N, n = 596), pre-perimetric glaucoma (PPG, n = 66), and glaucoma (G, n = 493), and divided into a training-validation (N: 476, PPG: 55, G: 373) and test (N: 120, PPG: 11, G: 120) sets. A multimodal model with the Xception model as image feature extraction and machine learning algorithms [random forest (RF), support vector machine (SVM), dense neural network (DNN), and others] was applied. RESULTS: The Xception model classified the N, PPG, and G groups with 93.9% of the micro-average area under the receiver operating characteristic curve (AUROC) with tenfold cross-validation. Although normal and glaucoma sensitivity can reach 93.51% and 86.13% respectively, the PPG sensitivity was only 30.27%. The AUROC increased to 96.4% in the N + PPG and G groups. The multimodal model with the N + PPG and G groups showed that the AUROCs of RF, SVM, and DNN were 99.56%, 99.59%, and 99.10%, respectively; The N and PPG + G groups had less than 1% difference. The test set showed an overall 3%-5% less AUROC than the validation results. CONCLUSION: The multimodal model had good AUROC while detecting glaucoma in a population with high incidence of myopia. The model shows the potential for general automatic screening and telemedicine, especially in Asia. TRIAL REGISTRATION: The study was approved by the Institutional Review Board of the National Taiwan University Hospital, Hsinchu Branch (no. NTUHHCB 108-025-E).
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Glaucoma , Miopía , Humanos , Prevalencia , Grupos Focales , Glaucoma/diagnóstico por imagen , Glaucoma/epidemiología , Miopía/diagnóstico por imagen , Miopía/epidemiología , Inteligencia ArtificialRESUMEN
In this paper, we present a flexible, inkjet-printed, non-enzymatic lactate sensor with high sensitivity and specificity, using a stacked nickel oxide-Nafion nanocomposite/nickel oxide working electrode. Instead of deploying a pure Nafion film on the top of the nickel oxide particles, the nickel oxide-Nafion nanocomposite layer in the new electrode scheme functions not only as an anti-interfering layer but also a reactive layer and the bottom pure nickel oxide layer free from interfering substances mainly participates in the redox reaction to enhance the sensing current. Experimental results show that the sensor with a working electrode printed using a 30 µL NiOx ink and a mixture of 30 µL NiO and 4 µL Nafion ink can exhibit an anti-interference ability of >95%, a sensitivity of 20.56 nA/mM/mm2, and limit of detection (LoD) of 0.27 mM satisfying the criteria for human lactate detection. In clinical trial, blood plasma test results show that lactate levels detected using this sensor have a strong linear correlation coefficient square of 0.959 with those measured using the colorimetry method used in hospitals, indicating its potential for application in the management of patients with abnormal lactate values requiring intensive care.
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Ácido Láctico , Nanocompuestos , Electrodos , Polímeros de Fluorocarbono , Pruebas Hematológicas , HumanosRESUMEN
Data on the prevalence of conus branch artery (CBA) is scarce, and its utilization in percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) is non-existing. The present study examined carefully in a large cohort the angiographic prevalence of CBA, its role as a collateral channel for the occlusion, and the potential usage of CBA in contemporary CTO PCI. We retrospectively examined consecutive CTO PCIs from our database between 2016 and 2019. All CTO PCIs were evaluated and the results with complications were recorded to determine the prevalence and utilization of CBA. From January 2016 to December 2019, a total of 556 CTO PCI attempts in 546 patients by high-volume operators were enrolled. The clinical, angiographic, and procedural details were collected. CBA was identifiable in 85.3% of these patients, and CBA providing visible collaterals connected to CTO distal lumen was found in 27.8% of patients. 84 CBA were used for balloon anchoring, 17 for selective distal true lumen visualization, and 9 as actual retrograde interventional collateral channel during CTO PCI. Only 1 patient suffered from chest pain during CBA balloon anchoring, and no other procedural complication such as arrhythmia or perforation occurred.CBA is frequently seen in coronary CTO. Its existence provided potential for various CTO PCI technique applications, without increase in risk.
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Oclusión Coronaria , Intervención Coronaria Percutánea , Enfermedad Crónica , Angiografía Coronaria/métodos , Oclusión Coronaria/cirugía , Vasos Coronarios/diagnóstico por imagen , Vasos Coronarios/cirugía , Humanos , Intervención Coronaria Percutánea/efectos adversos , Intervención Coronaria Percutánea/métodos , Sistema de Registros , Estudios Retrospectivos , Factores de Riesgo , Resultado del TratamientoRESUMEN
Objectives: Rheumatoid arthritis (RA) is an independent nontraditional risk factor for incidence of myocardial infarction (MI) and post-MI outcome is impaired in the RA population. Use of beta-blockers improves the long-term survival after MI in the general population while the protective effect of beta-blockers in RA patients is not clear. We investigate the impact of beta-blockers on the long-term outcome of MI among RA patients. Methods: We identified RA subjects from the registries for catastrophic illness and myocardial infarction from 2003 to 2013. The enrolled subjects were divided into three groups according to the prescription of beta-blockers (non-user, non-selective, and ß1-selective beta-blockers). The primary endpoint was all-cause mortality. We adjusted clinical variables and utilized propensity scores to balance confounding bias. Cox proportional hazards regression models were used to estimate the incidence of mortality in different groups. Results: A total of 1,292 RA patients with myocardial infarction were enrolled, where 424 (32.8%), 281 (21.7%), and 587 (45.5%) subjects used non-user, non-selective, and ß1-selective beta-blockers, respectively. Use of beta-blockers was associated with lower risk of all-cause mortality after adjustment with comorbidities, medications (adjusted hazard ratio [HR] 0.871; 95% confidence interval [CI] 0.727-0.978), and propensity score (HR 0.882; 95% CI 0.724-0.982). Compared with ß1-selective beta-blockers, treatment with non-selective beta-blockers (HR 0.856; 95% CI 0.702-0.984) was significantly related to lower risk of mortality. The protective effect of non-selective beta-blockers remained in different subgroups including sex and different anti-inflammatory drugs. Conclusion: Use of beta-blockers improved prognosis in post-MI patients with RA. Treatment with non-selective beta-blockers was significantly associated with reduced risk of mortality in RA patients after MI rather than ß1-selective beta-blockers.
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(1) Background: In previous research, higher levels of urine heavy metals, especially lead and cadmium, have been associated with increased cardiovascular risk. However, there is no information linking exposure to heavy metal to endothelial and platelet microparticles (EMPs and PMPs), particularly in the younger population, which are novel biomarkers of endothelial dysfunction. (2) Methods: From a nationwide database, which was incepted in 1992-2000, screening for renal health among Taiwanese school children, a total of 789 subjects were recruited. Cross-sectional analysis was performed to evaluate the association between serum EMPs/PMPs and urine iron, nickel, copper, cadmium, lead, chromium, manganese, and zinc levels in the adolescent and young adult population. (3) Results: After we adjusted the conventional cardiovascular risk factors, CD31+/CD42a- and CD31+/CD42a+ counts, in subjects' serum, respective markers of EMP and PMP displayed a significant positive dose-response relationship with urinary lead and cadmium levels. Higher quartiles of urine lead and cadmium levels were associated with an increased risk of higher EMPs/PMPs (≥75th percentile) in a multivariate logistic regression model. (4) Conclusion: Higher urinary lead and cadmium concentrations are strongly associated with endothelium-platelet microparticles in this adolescent and young adult population, which could help explain, in part, the mechanism through which heavy metal exposure results in cardiotoxicity.
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Plaquetas/metabolismo , Cadmio/orina , Enfermedades Cardiovasculares/epidemiología , Micropartículas Derivadas de Células/metabolismo , Endotelio/metabolismo , Plomo/orina , Adolescente , Adulto , Biomarcadores/orina , Enfermedades Cardiovasculares/metabolismo , Niño , Estudios Transversales , Femenino , Humanos , Modelos Logísticos , Masculino , Metales Pesados/orina , Complejo GPIb-IX de Glicoproteína Plaquetaria/metabolismo , Factores de Riesgo , Taiwán , Adulto JovenRESUMEN
Despite advances in pharmacotherapy, intervention devices and techniques, residual cardiovascular risks still cause a large burden on public health. Whilst most guidelines encourage achieving target levels of specific lipids and lipoproteins to reduce these risks, increasing evidence has shown that molecular modification of these lipoproteins also has a critical impact on their atherogenicity. Modification of low-density lipoprotein (LDL) by oxidation, glycation, peroxidation, apolipoprotein C-III adhesion, and the small dense subtype largely augment its atherogenicity. Post-translational modification by oxidation, carbamylation, glycation, and imbalance of molecular components can reduce the capacity of high-density lipoprotein (HDL) for reverse cholesterol transport. Elevated levels of triglycerides (TGs), apolipoprotein C-III and lipoprotein(a), and a decreased level of apolipoprotein A-I are closely associated with atherosclerotic cardiovascular disease. Pharmacotherapies aimed at reducing TGs, lipoprotein(a), and apolipoprotein C-III, and enhancing apolipoprotein A-1 are undergoing trials, and promising preliminary results have been reported. In this review, we aim to update the evidence on modifications of major lipid and lipoprotein components, including LDL, HDL, TG, apolipoprotein, and lipoprotein(a). We also discuss examples of translating findings from basic research to potential therapeutic targets for drug development.
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This study aims to apply a CCTA-derived territory-based patient-specific estimation of boundary conditions for coronary artery fractional flow reserve (FFR) and wall shear stress (WSS) simulation. The non-invasive simulation can help diagnose the significance of coronary stenosis and the likelihood of myocardial ischemia. FFR is often regarded as the gold standard to evaluate the functional significance of stenosis in coronary arteries. In another aspect, proximal wall shear stress ([Formula: see text]) can also be an indicator of plaque vulnerability. During the simulation process, the mass flow rate of the blood in coronary arteries is one of the most important boundary conditions. This study utilized the myocardium territory to estimate and allocate the mass flow rate. 20 patients are included in this study. From the knowledge of anatomical information of coronary arteries and the myocardium, the territory-based FFR and the [Formula: see text] can both be derived from fluid dynamics simulations. Applying the threshold of distinguishing between significant and non-significant stenosis, the territory-based method can reach the accuracy, sensitivity, and specificity of 0.88, 0.90, and 0.80, respectively. For significantly stenotic cases ([Formula: see text] [Formula: see text] 0.80), the vessels usually have higher wall shear stress in the proximal region of the lesion.
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Enfermedad de la Arteria Coronaria/diagnóstico , Estenosis Coronaria/diagnóstico , Vasos Coronarios/fisiopatología , Reserva del Flujo Fraccional Miocárdico/fisiología , Anciano , Angiografía por Tomografía Computarizada , Enfermedad de la Arteria Coronaria/diagnóstico por imagen , Enfermedad de la Arteria Coronaria/patología , Estenosis Coronaria/diagnóstico por imagen , Estenosis Coronaria/patología , Vasos Coronarios/diagnóstico por imagen , Femenino , Hemodinámica , Humanos , Masculino , Isquemia Miocárdica/diagnóstico , Isquemia Miocárdica/diagnóstico por imagen , Isquemia Miocárdica/patología , Placa Aterosclerótica/diagnóstico , Placa Aterosclerótica/diagnóstico por imagen , Placa Aterosclerótica/patología , Estrés MecánicoRESUMEN
The clinical efficacy of ticagrelor versus clopidogrel has not been replicated in East Asian populations. The pronounced bleeding risk with ticagrelor was of concern given the increased bleeding tendency in Asian populations. This study evaluated efficacy and safety of ticagrelor versus clopidogrel in patients with non-ST-elevation myocardial infarction (NSTEMI) in the entire Taiwan. We used the Taiwan National Health Insurance Research Database to identify 6203 patients aged ≥ 20 years with NSTEMI hospitalization and prescription of dual antiplatelets at discharge between January 2014 and December 2014. Cohorts of ticagrelor and clopidogrel were matched 1:1 based on propensity score matching to balance baseline covariates. The primary composite efficacy endpoints included death from any cause, non-fatal myocardial infarction, and non-fatal stroke. The secondary efficacy endpoints were the individual components. The primary safety endpoint was major bleeding requiring hospitalization. The incidence of primary efficacy endpoint was 20.3% in the ticagrelor users and 20.7% in the clopidogrel users (adjusted HR 0.94; 95% CI 0.73-1.22), with the median (interquartile range, IQR) follow-up period of 5.2 (2.3-8.5) months. The incidence of primary safety endpoint was 2.3% in the ticagrelor users and 3.2% in the clopidogrel users (adjusted HR 0.67; 95% CI 0.33-1.35). Regarding the secondary efficacy endpoint, patients treated with ticagrelor had significantly lower incidence of stroke (adjusted HR 0.44; 95% CI 0.21-0.94; p = 0.033). In this nationwide Taiwanese cohort of NSTEMI, treatment with ticagrelor after discharge, as compared to clopidogrel, had similar rates of ischemic composite events and major bleeding. Nevertheless, the median follow-up time was only 5.2 months, and the reduced stroke events with ticagrelor compared to clopidogrel needs further verification.
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Clopidogrel/efectos adversos , Clopidogrel/uso terapéutico , Infarto del Miocardio sin Elevación del ST/tratamiento farmacológico , Ticagrelor/efectos adversos , Ticagrelor/uso terapéutico , Anciano , Determinación de Punto Final , Femenino , Humanos , Masculino , Persona de Mediana Edad , Puntaje de Propensión , Taiwán , Resultado del TratamientoRESUMEN
Various clinical studies have shown that myocardial troponin T (cTnT) is highly correlated with acute myocardial infarction (AMI). A highly sensitive molecularly imprinted polymer (MIP) sensing electrode for the detection of cTnT in patients' blood serum can enable cost-effective, rapid, and real-time testing for patients requiring intensive care. However, the existing MIP-based sensing electrode does not perform well for low-concentration detection of cTnT (<0.2 ng/mL). In this study, a new type of sensing electrode, an anodic aluminum oxide molecularly imprinted (MIP/AAO) nanocomposite electrode is developed. By incorporating the AAO structure, i.e., one-dimensional (1D) pillars, through a semiconductor-compatible process, the new electrode exhibits a great performance improvement, higher sensitivity of 1.08 × 10-4 and 4.25 × 10-4 in the low (<0.03 ng/mL)- and high-concentration regions, respectively, and a lower limit of detection (LoD) of 5.34 pg/mL. Because the composite electrode can maintain a linear characteristic in the measurement range of low-concentration cTnT, it can effectively improve the accuracy and reduce the error in cTnT measurement. In addition, the novel sensing electrode exhibits good reusability and specificity.
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Impresión Molecular , Nanocompuestos , Óxido de Aluminio , Electrodos , Humanos , Polímeros Impresos Molecularmente , Monitoreo Fisiológico , Troponina TRESUMEN
BACKGROUND: Identification of vertebral fractures (VFs) is critical for effective secondary fracture prevention owing to their association with the increasing risks of future fractures. Plain abdominal frontal radiographs (PARs) are a common investigation method performed for a variety of clinical indications and provide an ideal platform for the opportunistic identification of VF. This study uses a deep convolutional neural network (DCNN) to identify the feasibility for the screening, detection, and localization of VFs using PARs. METHODS: A DCNN was pretrained using ImageNet and retrained with 1306 images from the PARs database obtained between August 2015 and December 2018. The accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were evaluated. The visualization algorithm gradient-weighted class activation mapping (Grad-CAM) was used for model interpretation. RESULTS: Only 46.6% (204/438) of the VFs were diagnosed in the original PARs reports. The algorithm achieved 73.59% accuracy, 73.81% sensitivity, 73.02% specificity, and an AUC of 0.72 in the VF identification. CONCLUSION: Computer driven solutions integrated with the DCNN have the potential to identify VFs with good accuracy when used opportunistically on PARs taken for a variety of clinical purposes. The proposed model can help clinicians become more efficient and economical in the current clinical pathway of fragile fracture treatment.
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Aprendizaje Profundo , Redes Neurales de la Computación , Fracturas de la Columna Vertebral/diagnóstico por imagen , Algoritmos , Bases de Datos Factuales , Humanos , Interpretación de Imagen Asistida por Computador , Radiografía , Sensibilidad y EspecificidadRESUMEN
BACKGROUND: Angioplasty-related vessel rupture is a common complication of interventions. The effect of covered stents to treat venous rupture has been evaluated in smaller series, but should be further evaluated. OBJECTIVE: To report the immediate outcomes and patency rates of a covered stent to rescue angioplasty-related venous rupture of hemodialysis vascular access. METHODS: From January 2013 to December 2018, 113 procedures complicated with vessel ruptures were retrospectively analyzed from a prospectively collected database of 8146 hemodialysis access interventions. The strategies to salvage vessel ruptures were based on the discretion of the treating physicians. Follow-up outcomes were obtained via review of the angiographic images, procedural notes, and medical and dialysis records within 12 months after the index procedures. RESULTS: A total of 52 vessel ruptures (21 fistulas, 31 grafts) salvaged by using Viabahn covered stents were enrolled. Vessel ruptures developed in 28 (53.8%) thrombectomy procedures. Device success was achieved in all procedures (100%) and clinical success was achieved in 50 (96.2%). The primary patency of the stent area was 66.0% at 6 months and 50.0% at 12 months. The primary patency of the entire access circuit was 27.4% at 6 months and 16.0% at 12 months. The most common cause of access circuit primary patency loss was thrombotic occlusion for graft accesses and restenosis at stent area for native accesses. Eleven vascular accesses were abandoned within 12 months after vessel ruptures, and the secondary patency rate of the entire access circuit was 78.0% at 12 months. CONCLUSIONS: Treatment of angioplasty-induced vessel rupture of hemodialysis vascular accesses by using Viabahn covered stents has good immediate outcomes and patency results at the stent area. Nonetheless, the patency rate of entire access circuit was still below the threshold recommended by guidelines.