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NCT ID: NCT06373120 Recruiting - Clinical trials for Left Ventricular Assist Devices

Interventional Ventricular Assist System for PCI in CHIP Patients

REC-CHIPMCS
Start date: March 1, 2024
Phase: N/A
Study type: Interventional

In patients with complex coronary artery disease (CAD), determining the optimal revascularization strategy (percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) remains a challenge. These high-risk patients pose an extreme surgical risk. However, with the development of new interventional techniques and materials, PCI is a good alternative to CABG and is referred to as complex high-risk indicated PCI (CHIP). During CHIP, hemodynamics can deteriorate because of temporary complete coronary occlusion or profound myocardial ischemia. This could result in loss of cardiac output and hemodynamics collapse. Mechanical support during CHIP facilitates native cardiac function by achieving a stable hemodynamic state to withstand repetitive derangements such as ischemia caused by prolonged and repeated balloon inflations, and resume original cardiac function immediately postprocedure or shortly thereafter. There are several mechanical circulatory support (MCS) systems available, i.e., intra-aortic balloon counterpulsation (IABP), Impella, TandemHeart, and veno-arterial extracorporeal membrane oxygenation (VA-ECMO). These MCS have been widely studied in patients with acute myocardial infarction (MI) complicated by cardiogenic shock and showed conflicting results. However, studies regarding the use of MCS in the setting of CHIP are much less abundant and no randomized study has compared Impella with VA-ECMO in CHIP patients. The aim of the study is to evaluate the effectiveness of interventional ventricular assist system (CorVad) compared to the venoarterial extracorporeal membrane oxygenation (VA-ECMO) system in providing circulatory support for complicated and high-risk patient with indications for PCI.

NCT ID: NCT06373094 Not yet recruiting - Alzheimer Disease Clinical Trials

A Single Dose Escalation Study of HHT201 in Healthy Subjects

Start date: June 1, 2024
Phase: Phase 1
Study type: Interventional

The objective of this study is to evaluate the safety and pharmacokinetic profiles of HHT201 in healthy subjects.

NCT ID: NCT06373081 Recruiting - Systemic Sclerosis Clinical Trials

Anti-CD19-CD3E-CAR-T Cells in Relapsed/Refractory Autoimmune Disease

Start date: April 20, 2024
Phase: N/A
Study type: Interventional

This is an investigator-initiated trial to evaluate the safety and efficacy of anti-CD19-CD3E-CAR-T cells in the relapse or refractory autoimmune diseases.

NCT ID: NCT06373029 Not yet recruiting - Ultrasound Clinical Trials

Deep-learning Enabled Ultrasound Diagnosis of Anterior Talofibular Ligament Injury

Start date: April 20, 2024
Phase:
Study type: Observational

Ultrasound (US) is a more cost-effective, accessible, and available imaging technique to assess anterior talofibular ligament (ATFL) injuries compared with magnetic resonance imaging (MRI). However, challenges in using this technique and increasing demand on qualified musculoskeletal (MSK) radiologists delay the diagnosis. The investigators have already developed a deep convolutional network (DCNN) model that automates detailed classification of ATFL injuries. The investigators hope to use the DCNN in real-world clinical setting to test its diagnostic accuracy.

NCT ID: NCT06372873 Active, not recruiting - Ultrasound Clinical Trials

Deep-learning For Ultrasound Classification of Anterior Talofibular Ligament Injury

Start date: April 1, 2024
Phase:
Study type: Observational

Ultrasound (US) is a more cost-effective, accessible, and available imaging technique to assess anterior talofibular ligament (ATFL) injuries compared with magnetic resonance imaging (MRI). However, challenges in using this technique and increasing demand on qualified musculoskeletal (MSK) radiologists delay the diagnosis. Using datasets from multiple clinical centers, the investigators aimed to develop and validate a deep convolutional network (DCNN) model that automates classification of ATFL injuries using US images with the goal of providing interpretable assistance to radiologists and facilitating a more accurate diagnosis of ATFL injuries. The investigators collected US images of ATFL injuries which had arthroscopic surgery results as reference standard form 13 hospitals across China;Then the investigators divided the images into training dataset, internal validation dataset, and external validation dataset in a ratio of 8:1:1; the investigators chose an optimal DCNN model to test its diagnostic performance of the model, including the diagnostic accuracy, sensitivity, specificity, F1 score. At last, the investigators compared the diagnostic performance of the model with 12 radiologists at different levels of expertise.

NCT ID: NCT06372782 Not yet recruiting - Clinical trials for Skin Aging of Dorsal Hands

Comparing Pain, Safety and Effectiveness of Restylane Skinboosters Vital Lido and Vital Without Lido in Dorsal Hand

Start date: April 2024
Phase: N/A
Study type: Interventional

This is a randomized, multi-center, split-hand, subject-blinded study comparing pain, safety and effectiveness of Restylane Skinboosters Vital Lidocaine and Restylane Vital without lidocaine for improving appearance of the dorsal hands in Chinese subjects.

NCT ID: NCT06372769 Completed - Clinical trials for Temporomandibular Disorder

Myoelectric Activity and Mandibular Movement for the Diagnosis of Temporomandibular Disorder

Start date: February 1, 2022
Phase:
Study type: Observational

This study aimed to provide normal reference values of surface electromyography (sEMG) and mandibular kinematics in Chinese young adults, compare the sex differences and assess the diagnosis value of these indices.

NCT ID: NCT06372756 Recruiting - Deep Learning Clinical Trials

Deep Learning Reconstruction Algorithms in Dual Low-dose CTA

Start date: June 1, 2023
Phase:
Study type: Observational

The goal of this observational study is to evaluate the impact of deep learning image reconstruction on the image quality and diagnostic performance of double low-dose CTA. The main question it aims to answer is to explore the feasibility of deep learning image reconstruction in double low-dose CTA.

NCT ID: NCT06372678 Not yet recruiting - Clinical trials for Chronic Rhinosinusitis With Nasal Polyps

Study of CM326 in Participants With Chronic Rhinosinusitis With Nasal Polyposis

Start date: June 30, 2024
Phase: Phase 2
Study type: Interventional

This is a multi-center, randomized, double blind, placebo-controlled Phase II study to evaluate the efficacy and safety of CM326, and to observe the Pharmacokinetics, Pharmacodynamics and immumogenicity of CM326 in patients with chronic rhinosinusitis with nasal polyposis (CRSwNP).

NCT ID: NCT06372665 Recruiting - Clinical trials for Japanese Encephalitis

Safety Observation of the Japanese Encephalitis Vaccine Given With a Primary Immunization

Start date: January 1, 2024
Phase:
Study type: Observational

This is a single-arm, non-randomized, open-label post-marketing safety observation study. The purpose of this study is to investigate the safety of JEV-I given with primary immunization in a large amount of healthy children aged 8 months and older.