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Hemorrhage clinical trials

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NCT ID: NCT06344312 Active, not recruiting - Clinical trials for Stroke, Acute Ischemic

Effectiveness of Yangxue Qingnao Granules in Preventing Post Thrombolytic Hemorrhage Transformation in Patients With Acute Cerebral Infarction

Start date: January 1, 2024
Phase: N/A
Study type: Interventional

Evaluate the effectiveness of Yangxue Qingnao Granules in preventing post thrombolytic hemorrhage transformation in patients with acute cerebral infarction, and explore its possible mechanism

NCT ID: NCT06343961 Not yet recruiting - Clinical trials for Diabetic Retinopathy

Intraoperative Application of Fluorescein Sodium Angiography in Vascular Retinopathy

Start date: April 18, 2024
Phase: N/A
Study type: Interventional

The study used a new surgical technique: intraoperative fluorescence imaging,In the 1980s, some scholars proposed the concept of intraoperative fluorescein angiography.During vitrectomy, intraoperative fluorescein angiography under 3D microscope can guide the surgeon to observe the non-perfusion area and new blood vessels on the same screen for accurate retinal photocoagulation therapy.Through this technology, the primary retinal disease can be identified in time after the removal of vitreous hemorrhage during surgery, providing effective imaging evidence support for the design of further treatment.

NCT ID: NCT06337838 Not yet recruiting - Surgery Clinical Trials

Bleeding Reduction in Acute and Chronic Kidney Patients Having Surgery (BRACKETS) Pilot Trial

BRACKETS
Start date: June 2024
Phase: Phase 3
Study type: Interventional

The BRACKETS pilot study is a multicentre, prospective, randomized controlled trial of prophylactic preoperative tranexamic acid (TXA) versus placebo and, using a partial factorial design, of prophylactic preoperative desmopressin versus placebo.

NCT ID: NCT06336889 Recruiting - Pelvic Hemorrhage Clinical Trials

Pelvic Angioembolization: A Prospective Multi-Institutional Study (Data From All Campuses Will be Used)

Start date: October 26, 2017
Phase:
Study type: Observational

The investigator's propose a multicenter prospective observational study to investigate the use of embolization in patients with negative angiogram and to ascertain the optimal level of treatment when the angiogram is positive; non-selective vs. selective embolization.

NCT ID: NCT06335186 Recruiting - Clinical trials for Upper Gastrointestinal Variceal Bleeding in Cirrhotic Patients

Predictive and Prognostic Significance of Age,Blood Tests,Comorbidities(ABC) Score,Cologne Watch(C-watch)Score and Rockall Score for Risk of Variceal Re-bleeding Among Cirrhotic Patients

Start date: February 10, 2024
Phase:
Study type: Observational

Introduction Portal hypertension is a common complication of liver cirrhosis and is often underestimated in clinical diagnosis. The incidence of portal hypertension is approximately 20% to 98% in patients with cirrhosis (Wu et al., 2022). It is the major driver in the transition from the compensated to the 'decompensated' stage of cirrhosis, defined by the presence of clinical complications, including ascites, spontaneous bacterial peritonitis, hepatorenal syndrome, and hepatic encephalopathy (Berzigotti., 2017). Acute variceal bleeding is one of the most lifethreatening complications of liver cirrhosis. Twenty two percent to sixty one percent of cirrhotic patients receiving primary prophylaxis will develop first variceal bleeding during the first two years of follow up. Furthermore, variceal bleeding is associated with high risk of rebleeding and mortality (Tantai et al., 2019). Patients with cirrhosis, although much progress has been made in diagnosis and treatment using vasoactive drugs, preventive antibiotics, early endoscopy and interventional radiology, the 6-week mortality rate remains high, ranging from 10 to 20%, mainly due to failure to control bleeding in the first days. Therefore, the prognostic method of patients with acute variceal bleeding is to determine the risk of rebleeding and resistance to standard treatment (accounting for 20-30%) and mortality rate in order to be able to adopt more aggressive treatment measures. The prognosis is very important but also difficult, not only because of the bleeding status but also depending on the severity of the underlying cirrhosis (Huy et al., 2023). Many risk factors are known to influence the outcome in Upper Gastrointestinal Bleeding (UGIB) setting: Age, comorbidities, presence of shock, endoscopic diagnosis, haemoglobin values at the time of bleeding, stigmata of recent haemorhage and need for blood transfusion have all been described as significant risk factors for rebleeding and death (Monteiro S et al., 2016). Many risk assessment score systems, including pre-endoscopy and post-endoscopy evaluations, have been developed to predict outcomes such as the need for hospital-based intervention, endoscopic therapy, and admission to an intensive care unit (ICU), rebleeding, and mortality. Some studies showed that these scoring systems distinguish low-risk patients who can potentially be managed as outpatients, allowing more efficient use of resources. Other studies suggested that these score systems distinguish higher-risk patients who might require emergency endoscopy or management in an intensive care unit (Li et al., 2022). In 1993, the Rockall Scoring system was introduced to predict the mortality after UGIB and was validated for its use to identify the patients at high risk for re-bleed and mortality. Complete Rockall scoring system is based on an initial clinical score at the time of admission which consist of age (score 0-2), presence of shock (0-2), co-morbidities (score 0-3) and post endoscopic diagnosis (score 0-2) with stigmata of recent hemorrhages (score 0-2). Both clinical and post endoscopic scores added together gives a complete Rockall score with maximum score being 11 (Dewan et al., 2018). In 2020, Laursen S.B. and colleagues conducted a multicenter international study and developed a new prognostic scoring system for UGIB called the ABC score. This scoring system is based on three criteria: age, blood test results, and comorbidities. The score ranges from 0 to 18 points, categorizing the risk into low (≤3 points), moderate (4-7 points), and high (≥8 points) levels. The 30-day mortality rates for high-risk UGIB patients in these three risk groups were 1%, 7%, and 25%, respectively ( Ky et al., 2023) The new Cologne Watch (C-Watch) score was designed as a pre-endoscopic score for acute variceal and non-variceal UGIB and incorporates laboratory values only (c-reactive protein, white blood cell count, alanine-aminotransferase, thrombocytes, creatinine, and hemoglobin) with a minimum point value of 0 and a maximum point value of 8. Within the validation set, it predicted a composite endpoint consisting of recurrent bleeding, need for intervention (interventional radiology, surgery), or death within 30 days with an area under the receiver-operating characteristics curve (AUROC) of 0. About 38.7% of patients were within the high-risk group, i.e., ≥2 points, reached the composite endpoint, whereas no patient classified as low risk (≤1 point) (Allo et al., 2022).

NCT ID: NCT06334796 Completed - Stroke Clinical Trials

Artificial Intelligence-powered Virtual Assistant for Emergency Triage in Neurology

AIDEN
Start date: October 1, 2023
Phase: Early Phase 1
Study type: Interventional

This study examines the use of an AI-powered virtual assistant for quickly identifying and handling neurological emergencies, particularly in places with limited medical resources. The research aimed to check if this AI tool is safe and accurate enough to move on to more advanced testing stages. In a first-of-its-kind trial, the virtual assistant was tested with patients having urgent neurological issues. Neurologists first reviewed the AI's recommendations using clinical records and then assessed its performance directly with patients. The findings were as follows: neurologists agreed with the AI's decisions nearly all the time, and the AI outperformed earlier versions of Chat GPT in every tested aspect. Patients and doctors found the AI to be highly effective, rating it as excellent or very good in most cases. This suggests the AI could significantly enhance how quickly and accurately neurological emergencies are dealt with, although further trials are needed before it can be widely used.

NCT ID: NCT06333340 Not yet recruiting - Clinical trials for Post Partum Hemorrhage

Comparative Efficacy of Carbetocin and Oxytocin in Parturients at Risk of Atonic Postpartum Hemorrhage Undergoing Elective Cesarean Delivery

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

The goal of this study is to compare 2 medications that are commonly used to prevent excess uterine bleeding (postpartum hemorrhage, or PPH) following cesarean delivery (CD), oxytocin and carbetocin. Most of the trials evaluating the preventative role of oxytocin and carbetocin after CD have focused on patient with low-risk of PPH. This trial will focus on patients that are at increased risk of PPH, with risk factors such as: multiple gestation (twins, or more multiples), large baby, polyhydramnios (excess amniotic fluid), history of PPH, body mass index greater than 40, diabetes mellitus, hypertension, and placenta previa. The investigators hypothesize that carbetocin would be more effective than an oxytocin regimen in reducing the risk of PPH in patients undergoing CD with any of the biological high-risk factors.

NCT ID: NCT06329635 Recruiting - Clinical trials for Aneurysmal Subarachnoid Hemorrhage

Treatment of Vasospasm of Aneurysmal Subarachnoid Hemorrhage With Intrathecal Nicardipine - FAST-IT Trial

Start date: May 27, 2024
Phase: N/A
Study type: Interventional

To investigate whether patients with cerebral vasospasm associated with aneurysmal subarachnoid hemorrhage have a better prognosis with intrathecal nicardipine injection via extraventricular drainage or lumbar drainage.

NCT ID: NCT06328946 Not yet recruiting - Clinical trials for Intracerebral Hemorrhage

The Impact of Different Feeding Modes on Patients With Intracerebral Hemorrhage

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

This was a multicenter, prospective, randomized controlled clinical trail involved tracheostomized patients with Intracerebral Hemorrhage.The goal of this clinical trial is to compare the clinical effect of Intermittent Oro-esophageal Tube Feeding vs Nasogastric Tube Feeding in Tracheostomized Patients with Intracerebral Hemorrhage. The main questions it aims to answer are: Compared to Nasogastric Tube Feeding, can the Intermittent Oro-esophageal Tube Feeding better improve the nutritional status, extubation of tracheostomy tube, pulmonary infection, neurological deficit of Patients with Intracerebral Hemorrhage Compared to Nasogastric Tube Feeding, is the Intermittent Oro-esophageal Tube Feeding safer. Participants will be divided into two groups randomly, with different nutritional support respectively.

NCT ID: NCT06326385 Not yet recruiting - Sepsis Clinical Trials

Machine Learning Predictive Models for Sepsis Risk in ICU Patients With Intracerebral Hemorrhage

Start date: March 30, 2024
Phase:
Study type: Observational

Patients with intracerebral hemorrhage (ICH) in the intensive care unit (ICU) are at heightened risk of developing sepsis, significantly increasing mortality and healthcare burden. Currently, there is a lack of effective tools for the early prediction of sepsis in ICH patients within the ICU. This study aims to develop a reliable predictive model using machine learning techniques to assist clinicians in the early identification of patients at high risk and to facilitate timely intervention. The Medical Information Mart for Intensive Care (MIMIC) IV database (version 2.2) is an international online repository for critical care expertise. This database contains patient-related information collected from the ICUs of Beth Israel Deaconess Medical Center between 2008 and 2019. It includes a vast dataset of 299,712 hospital admissions and 73,181 intensive care unit patients. The eICU Collaborative Research Database (eICU-CRD) comprises data from over 200,000 ICU admissions for 139,367 unique patients across 208 US hospitals between 2014 and 2015, providing a valuable resource for critical care research. This study aims to establish and validate multiple machine learning models to predict the onset of sepsis in ICU patients with ICH and to identify the model with the optimal predictive performance.