Clinical Research Directory

What Are the Predictors of Acute Kidney Injury in Children Admitted to Pediatrics Intensive Care Unit at Assiut University Children Hospital?

Identify the Predictors of Acute Kidney Injury in critically ill children admitted to PICU during one year

What is the Effect of Acute Kidney Injury on Weaning From Mechanical Ventilation in Critically Ill Adult Patients?

The aim of this study is to evaluate the impact of acute kidney injury (AKI) on the success rate, duration, and complications of weaning from mechanical ventilation in critically ill adult patients admitted to the intensive care unit (ICU), and to identify whether AKI is an independent predictor of difficult, failed or complicated or weaning.

Epidemiology and Processes of Care for Renal Replacement Therapy in Acute Kidney Injury in Latin America

This is an international, multicenter, observational study aimed at investigating acute kidney injury requiring renal replacement therapy (AKI-RRT) in Latin American countries. The main questions this study aims to answer are: * What is the epidemiology, outcomes, and processes of care for patients with AKI-RRT in Latin America? * How do outcomes differ across different countries in Latin America? * What factors (demographics, clinical, socioeconomic) influence outcomes in patients with AKI-RRT in Latin America? The main aims of this study are to: * Establish a comprehensive database containing clinical, laboratory, treatment, process, and outcome data of patients with AKI-RRT in Latin America * Describe current epidemiology of AKI-RRT in Latin America * Compare processes of care and outcomes across different countries in Latin America * Provide data resources to facilitate and promote clinical research in AKI-RRT

Outpatient Recovery From Acute Kidney Injury Requiring Dialysis - 2

Providing additional information to patients with acute kidney injury who continue dialysis after hospital discharge and to the accepting kidney doctor (nephrologist) who manages their dialysis may be feasible and beneficial. This study will pilot measuring the patient's residual kidney function at the time of discharge and communicating that result to the accepting nephrologist and the patient, along with information on recommended recovery monitoring frequency and criteria for consideration of a twice-weekly hemodialysis schedule.

NO During CPB in Neonates to Reduce Risk of AKI

Acute kidney injury (AKI) following cardiac surgery for congenital heart defects (CHD) in children affects up to 60% of high risk-patients and is a major cause of both short- and long-term morbidity and mortality. Despite effort, to date, no successful therapeutic agent has gained widespread success in preventing this postoperative decline in renal function. Nitric oxide is an intricate regulator of acute inflammation and coagulation and is a potent vasodilator. The investigators hypothesize that nitric oxide, administered during cardiopulmonary bypass (CPB), may reduce the incidence of AKI.

Research on the Risk Warning Model and Prevention Strategies for Acute Kidney Injury Associated With Cyclosporine Based on Explainable Deep Neural Networks and Therapeutic Drug Monitoring

In this study, the investigators will focus on hospitalized patients using cyclosporine and develop an acute kidney injury risk prediction model through in-depth analysis of electronic medical record data, employing interpretable deep learning methods. This model aims to provide timely decision-making support for clinicians regarding prevention and treatment. Compared to traditional machine learning models, deep neural network models can extract deeper features from complex medical data and perform more precise pattern recognition, thereby improving the accuracy and reliability of predictions. By developing a prediction tool based on interpretable deep learning models, the investigators will be able to better assess the association between the use of CNI-class immunosuppressants and acute kidney injury, explore targeted prevention strategies, and offer more accurate prediction and intervention guidance for clinicians. Additionally, this study has significant socioeconomic benefits and promising prospects for application and promotion.

Deep Learning Model and Risk Factors for Tacrolimus-related Acute Kidney Injury

In this study, the investigators aim to develop a risk prediction model for acute kidney injury (AKI) in hospitalized patients using the calcineurin inhibitor tacrolimus. This will be achieved by mining electronic medical record data and employing explainable deep learning methods. The model will provide clinical decision support for timely intervention and treatment. Compared to traditional machine learning models, deep neural networks can extract more nuanced features from complex medical data and perform more precise pattern recognition, thereby enhancing prediction accuracy and reliability. By constructing a predictive tool based on explainable deep learning models, the investigators will better assess the association between the use of calcineurin inhibitors and AKI, explore targeted prevention strategies, and offer more precise predictions and intervention guidance to clinicians. Additionally, this research has significant socio-economic benefits and application potential. By reducing the incidence of AKI, the investigators can lower patient hospitalization duration and re-treatment costs, conserve medical resources, and improve patient quality of life. Preventive healthcare not only alleviates the physical and psychological burden on patients but also reduces the strain on the healthcare system, enhances healthcare efficiency, and promotes the rational allocation of medical resources.

Genetics in the Progression of Nephropathies

This study evaluates the role of genetic in the development and progression of different nephropaties with particular attention to: * AKI * CKD * Hypertension * ADPKD * CKD-MBD * Patients with decompensated heart failure undergoing either medical or surgery therapy * Patients with hematologic cancer exposed to chemotherapeutic agents or undergoing allogeneic bone marrow transplantation * glomerular diseases

Renal Physiology During Continuous Renal Replacement Therapy

Approximately 50% of patients in the intensive care unit (ICU) develop acute kidney injury (AKI) and more than 10% need dialysis. There is no treatment for AKI. Care is aiming for optimization of circulation and blood flow to the kidneys and avoiding nephrotoxic agents. There is conflicting data concerning whether early or late dialysis is harmful for the kidneys. No one has examined the physiological changes in the kidney when starting dialysis and which blood pressure that leads to most optimal physiological conditions for the kidneys during dialysis. In this descriptive study of 20 ICU patients suffering from AKI we aim to investigate renal physiology when starting continuous renal replacement therapy (CRRT) and also at different target blood pressures using retrograde renal vein thermodilution technique. In parallel we will also investigate and validate this invasive method with contrast enhanced ultrasound of the kidneys.