View clinical trials related to Acute Kidney Injury.
Filter by:This study was a clinical trial. This study aimed to evaluate the effects of Goal-Oriented Care intervention on blood pressure, percentage of interdialytic weight gain, self-management behaviors, and quality of life in hospitalized patients with unplanned dialysis at three and six-months post-discharge. This study was an experimental design in a medical center in Southern Taiwan. A cluster sample method was selected for each two wards from four nephrology wards and was randomly assigned to the experimental and control groups. The enrolled patients were assigned to the experimental and control groups according to different wards' admission. The inclusion criteria were: (1) patients who received unplanned dialysis during hospitalization; (2) aged between 20 and 80 years; (3) not undergoing renal replacement therapy before recruitment; (4) alert consciousness status and ability to communicate; (5) ability to perform self-management behaviors. The exclusion criteria were a history of psychiatric illness, any active infection and inability to communicate or understand the educational process. Each group consisted of 46 participants. Both groups received routine health education. However, the experimental group during hospitalization additionally received 40 minutes of one-on-one education three times a week for three weeks, as the Goal-Oriented Care program for 6 hours in total, followed by telephone sessions of 20 minutes every month for six months post-discharge. On receiving the third dialysis, baseline data including self-report questionnaires assessed participants' demographic and disease characteristics and medical record reports for blood pressure and percentage of interdialytic weight gain were collected. A week after discharge, self-management behaviors and quality of life baseline data were assessed using self-reported questionnaires and these were followed up at three and six-months post-discharge, which then also included blood pressure and percentage of interdialytic weight gain.Generalized estimating equations were used to assess changes amounts in each outcome variable from the baseline to three months and six-months post-discharge between two groups.
The aim of the current study is to assess the predictive value of renal cell arrest biomarkers (urinary TIMP2 and IGFBP7), renal damage biomarkers (urinary KIM-1) and microscopic examination of urinary sediment in progression and outcome of sepsis associated AKI.
The aim of the study is to assess the common risk factors for development of hospital acquired acute kidney injury among hospitalized patients in Alexandria Main University hospital and their outcomes.
This is a multi-center sample analysis study in which urine samples previously collected from persons with Stage 2 or Stage 3 Acute Kidney Injury (AKI), will be tested in order to validate the VIDAS® NEPHROCLEAR™ CCL14 Test
Acute kidney injury (AKI) is a common complication during the early postoperative period after noncardiac surgery. Patients with AKI are at an increased risk of developing chronic kidney disease, prolonging hospitalization, and experiencing higher rates of morbidity and mortality. Identifying preoperative risk factors for postoperative AKI can significantly contribute to the development of preventive strategies and improved perioperative care in this vulnerable patient population. The goal of this retrospective study is to investigate the predictive value of preoperative inflammatory status, as measured by complete blood count-derived inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), derived neutrophil-to-lymphocyte ratio (dNLR), neutrophil-to-lymphocyte*platelet ratio (NLPR), systemic immune-inflammatory index (SII), systemic inflammatory response index (SIRI), and aggregate index of systemic inflammation (AISI), on postoperative AKI in elderly patients undergoing non-cardiac surgery.
A retrospective study evaluating AKI patients in whom RRT was interrupted for at least 48 hours. Patients who were still RRT-independent 7 days after initial RRT cessation were included in the "Success" group, as opposed to the "Failure" group. Baseline characteristics and variables at the time of RRT interruption were collected. Multivariable analysis was performed and a model was generated to evaluate the prediction of success.
Robotic-assisted laparoscopic prostatectomy (RALP) is the gold standard surgical technique in prostate surgery. Many Robotic-laparoscopic surgical techniques also require the intraoperative deep Trendelenburg position and intravenous fluid restriction during surgery. However, the possible side effects of the deep Trendelenburg's position and the fluid restriction on the cardiovascular and renal systems during surgery are unknown. Although the Trendelenburg position is a life-saving maneuver in hypovolemic patients, it also carries undesirable risks. Long console time may contribute to the development of acute kidney injury (AKI) by prolonging the Trendelenburg time and the fluid-restricted time. In this study, investigators aimed to demonstrate the effect of console time on the development of AKI. Investigators also aimed to determine the hemodynamic risk factors that cause the development of AKI in patients monitored with the pressure Recording Analytical Method (PRAM).
The study is a prospective, non-randomized early feasibility study intended to evaluate the safety and performance of the JuxtaFlow System (also known as the JuxtaFlow Renal Assist Device (RAD)) in participants with pre-existing renal insufficiency who are undergoing cardiac surgery.
<Development of synthetic medical data generation technology to predict postoperative complications> In order to develop a model for predicting the occurrence of complications after surgery, it is necessary to establish a cohort along with statistical indicators related to the occurrence of complications. This study aims to combine synthetic medical data based on actual clinical data and develop a predictive model based on synthetic medical data. This will allow researchers to conduct research only with synthetic data without dealing with actual medical data, allowing them to use and process data without legal constraints, and to create as much data as they want based on various preprocessed, standardized, and labeled raw data. Patients from three hospitals in Korea (Seoul National University Hospital, Seoul National University Bundang Hospital, Seoul Metropolitan City-Boramae Medical Center) were enrolled for the study. Medical data (both clinical and laboratory) from 410,000 patients who were conducted surgery between 2005 and 2020 were collected to evaluate the performance of the prediction model using AKI-based prediction model development and external verification. Based on the collected patient data, synthetic medical data were combined using the machine learning algorithm, and the anonymity and re-identification of the synthesized medical data were evaluated. Also, the development of AI-based prediction model using synthetic medical data and the actual medical data model were compared.
This study explored the incidence of morbidity and mortality associated with AKI in critically ill adult patients infected with COVID-19. There are two groups for comparison. Group1. patients were directly admitted to the intensive care unit (ICU) from the emergency department (ED) Group 2. patients were initially managed on the medical floor and later transferred to the ICU for worsening respiratory status. The investigating team evaluated the correlation of inflammatory markers and common risk factors such as obesity, diabetes, hypertension and ethnicity to the development of AKI in the target population. The primary outcome is mortality participants will received their regular healthcare in a medical setting