Clinical Research Directory

Nutritional Effects in Cardiovascular Surgery

This study aims to investigate the distribution of gut microbiota-derived metabolites, and to evaluate whether postoperative nutritional intervention can modulate the gut-heart metabolic axis, thereby improving metabolic profiles and clinical outcomes.

The Effects of a 6-week Pre-operative Administration of a Microbiome Modulator "WellBiome" Versus Placebo on Cardiac Surgical Outcomes and NHS Cost Savings.

More than 7.4 million people in the UK are currently waiting for surgery. Behind that number are real people-patients preparing mentally and physically for procedures ranging from joint replacements to major heart and abdominal operations. This research forms part of a broader strategy known as prehabilitation - preparing the body before surgery to improve outcomes afterward. For patients waiting for surgery, it represents a shift from passive waiting to active preparation. Heart surgery for bypass or valve replacements results in inevitable yet controlled trauma. It increases inflammation, stress hormones and immune system demand. The body then has to repair itself - quickly and efficiently. And here's the surprising part. Inside your gut live trillions of bacteria - called your gut microbiome. These bacteria help regulate inflammation, strengthen your immune system and protect against infection. This randomised clinical trial is investigating a fascinating question: Can improving your gut microbiome through consumption of fibre before surgery help you recover faster, reduce time in ICU, shorten hospital stays, and lower complication rates? The placebo controlled trial will randomise 80 patients following eligibiilty checks to either 5g of prebiotic fibre/300mg of magnesium (WellBiome) OR 5g of maltodextrin for a period of 6-8 weeks prior to surgery. Patient will provide blood, urine and faecal samples at baseline and upon admission for surgery, and two further blood samples at day 3 and 6 post operatively. Following surgery, patient outcomes will be assessed and compared between the experimental group (prebiotic fibre/magnesium) and placebo group (maltodextrin). The investigators are focussing on the time spent in the intensive care unit, complications and overall hospital stay. By documenting and quantifying these the investigators can calculate the costs and any savings between the groups.

Cardiovascular Surgery Early Prediction System for AKI :CARDS-AKI Registry

This multicenter, prospective study prospectively enrolled patients undergoing cardiovascular surgery. Detailed perioperative clinical data and biospecimens were collected at multiple time points. The primary aim is to develop an early warning model for postoperative acute kidney injury (AKI) by integrating clinical data and biomarkers. Additionally, through long-term follow-up, the study seeks to characterize outcome trajectories and establish a prognostic model for AKI patients. This study addresses four key questions: 1) Integration of clinical information and biomarkers to develop an early predictive model for cardiac surgery-associated acute kidney injury (CSA-AKI); 2) Identification of risk factors for CSA-AKI occurrence; 3) Determinants of prognosis in patients with CSA-AKI; and 4) Enhanced prediction of near- and long-term clinical event risks in this patient population. Participants will receive standard perioperative management. The study protocol includes the following procedures:(1) Clinical Data Collection: Comprehensive perioperative clinical data will be systematically recorded. (2) Biospecimen Sampling: Serial blood and urine samples will be obtained at predefined time points throughout the perioperative period. (3) In-Hospital Monitoring: Clinical outcomes will be continuously monitored during the hospital stay. (3) Post-discharge Follow-up: Participants will be assessed at regular intervals after discharge to track the occurrence of major adverse events. These findings provide a foundational basis for the development of a data-driven early-warning system. Such a system is designed to facilitate the prompt identification of high-risk patients and enable the initiation of personalized treatment strategies, thereby potentially improving clinical outcomes and optimizing resource allocation

AI Model for Assessing Cardiac Surgeons' Techniques

The goal of this study aims to investigate the use of artificial intelligence to analyze and evaluate the characteristics and proficiency of surgeons during vascular anastomosis in coronary artery bypass grafting (CABG) procedures. The main question it aims to answer is: Consistency assessment between AI evaluation scores and human expert evaluation scores for surgeons during left anterior descending (LAD) artery anastomosis.

Exploring the Predictive Value of Electroencephalography Features in Perioperative Neurocognitive Disorders Following Cardiovascular Surgery

To explore the predictive value of Electroencephalography features in Perioperative Neurocognitive Disorders in patients undergoing cardiovascular surgery under general anesthesia

Protective Effect of Angong Niuhuang Against Negative Inflammatory Response and Neurologic Dysfunction After Cardiovascular Surgery

Neurologic Dysfunction is one of the main factors contributing to poor outcomes in cardiac surgery patients, except for heart failure. Atherosclerosis of the aorta, a history of cerebral infarction, and cervical artery disease are common clinical risk factors for cerebral neurological dysfunction after cardiac surgery. Results of preclinical studies suggested that Angong Niuhuang Pills (ANPs), a traditional Chinese patent medicine, including realgar, cinnabaris, Bovis Calculus, artificial Moschus, and powdered buffalo horn extract, decreased infarct volume and cerebral edema, and presented anti- atherosclerosis and cardio-protective effects in clinical and preclinical studies. The PANDA X trial is designed as a pilot study to explore the safety and efficacy of ANP in patients with moderate-to-severe neurologic dysfunction after cardiovascular surgery.

Development of Perioperative Delirium Prediction Model

Postoperative delirium is an acute organic brain dysfunction that is commonly observed following cardiovascular surgery. It presents with acute and fluctuating changes in the level of consciousness, resulting in impaired cognitive function and perception. The incidence of delirium following cardiac surgery has been reported to range from 11.4% to 55%. In light of the challenges associated with treating delirium once it has manifested, it is imperative to prioritise the early recognition and prevention of this condition. The objective of this study was to develop a perioperative delirium risk prediction model for patients undergoing cardiovascular surgery.

Development of a Mobile Application and Determination of Its Effects

It has been determined that patients who have undergone heart surgery have a lack of knowledge about preoperative preparation and postoperative intensive care unit. In order to eliminate the lack of knowledge, patient education has gained importance in the preoperative period. At the same time, it is stated that nurses working in cardiovascular surgery intensive care units need continuous education to cope with the difficulties related to the increasing complexity of patient conditions and technology. With the advancement of technology, mobile applications have become an integral part of the continuous education of patients and nurses. This project was planned to evaluate the effect of the mobile application to be developed for patients who will undergo heart surgery on patient outcomes and the effect of the mobile application to be developed for nurses who provide patient care in intensive care units on the self-efficacy of nurses. In the first step of the project, the content of the mobile application will be developed, expert opinions will be obtained and the comprehensibility of patients and nurses will be tested. The software of the mobile application will be completed by shooting the necessary videos for the final content. In the second step of the project, the effect of the developed mobile application on anxiety, comfort and intensive care unit experiences in patients who meet the inclusion criteria will be examined. A randomized controlled experimental design will be used in this stage. State-Trait Anxiety Inventory, Early Postoperative Comfort Scale (EPQI), Intensive Care Experiences Scale will be used to collect data. Self-Efficacy Scale will be applied to nurses without randomization before and after using the mobile application. Data obtained in the study will be evaluated in a computer environment using SPSS data package program. In statistical decisions, p\<0.05 level will be accepted as a significant difference indicator.

Effectiveness of a Intraoperative Blood Recovery System in Cardiovascular Surgery in Brazil

Randomized trial to evaluate the effectiveness of a intra operative blood recovery system in reducing the need for allogeneic transfusion in cardiovascular surgeries using cardiopulmonary bypass

Physiologic Signals and Signatures With the Accuryn Monitoring System - The Accuryn Registry

The Accuryn Registry Study is an open-ended, global, multi-center, retrospective and prospective, single-arm data collection study with an FDA cleared device. The target population are cardiovascular surgery patients. Physiologic data measurements will be collected from enrolled subjects using electronic medical records and data streams via the Accuryn Monitoring System.