Acute kidney injury after cardiac surgery is associated with increased morbidity and mortality. Methods for measuring urine output in real time may better ensure renal perfusion perioperatively in contrast to the current standard of care where urine output is visually estimated after empiric epochs of time. In this study, we describe an accurate method for monitoring urine output continuously during cardiopulmonary bypass. This may provide a means for setting patient-specific targets for blood pressure and cardiopulmonary bypass flow as a potential strategy to reduce the risk for acute kidney injury.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5726301 | PMC |
| http://dx.doi.org/10.1213/ANE.0000000000002217 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Whole-genome automated assembly pipeline for strains from reference, and clinical samples using the integrated CtGAP pipeline.
NAR Genom Bioinform
March 2025
Departments of Medicine and Pediatrics, Division of Infectious Diseases and Global Health, University of California San Francisco School of Medicine, 550 16th Street, 4th Floor Mission Hall, San Francisco, CA, 94158, USA.
Whole genome sequencing (WGS) is pivotal for the molecular characterization of ()-the leading bacterial cause of sexually transmitted infections and infectious blindness worldwide. WGS can inform epidemiologic, public health and outbreak investigations of these human-restricted pathogens. However, challenges persist in generating high-quality genomes for downstream analyses given its obligate intracellular nature and difficulty with propagation.
View Article and Find Full Text PDFSevere intensive care unit-acquired hypernatraemia: Prevalence, risk factors, trajectory, management, and outcome.
Crit Care Resusc
December 2024
Department of Intensive Care, Austin Hospital, Melbourne, VIC, Australia.
Background: Severe intensive care unit-acquired hypernatraemia (ICU-AH) is a serious complication of critical illness. However, there is no detailed information on how this condition develops.
Objectives: The objective of this study was to study the prevalence, risk factors, trajectory, management, and outcome of severe ICU-AH (≥155 mmol·L).
Capillary Filtration of Plasma is Accelerated During General Anesthesia: A Secondary Population Volume Kinetic Analysis.
J Clin Pharmacol
January 2025
Research and Development, Karolinska Institutet at Danderyds Hospital, (KIDS), Stockholm, Sweden.
How infusion fluids are distributed and eliminated is of importance to how much and how fast they should be administered. This manuscript applies population pharmacokinetic modeling to intravenous infusions of crystalloid fluid, which is a common therapy in hospital care and mandatory during surgery. The analysis was based on the hemodilution and urine output measured during and after 262 infusions of 1647 ± 461 mL (mean ± SD) of fluid over 30 min in adults.
View Article and Find Full Text PDFReal World Testing of a Clinical Strategy to Start Early Peritoneal Dialysis for High-Risk Newborns Following Cardiac Surgery.
Kidney360
January 2025
Division of Pediatric Nephrology, Batson Children's Hospital of Mississippi, University of Mississippi, Jackson, MS.
Background: The beneficial impact of peritoneal dialysis (PD) catheter placement following cardiopulmonary bypass in young infants has been demonstrated. But the indications to start early peritoneal dialysis are not agreed upon.
Methods: This retrospective single center study was conducted to evaluate the performance of a clinical strategy for early PD start.
An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia.
PLoS One
January 2025
Department of Anesthesiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Background: Ventilator-associated pneumonia (VAP) is a common nosocomial infection in ICU, significantly associated with poor outcomes. However, there is currently a lack of reliable and interpretable tools for assessing the risk of in-hospital mortality in VAP patients. This study aims to develop an interpretable machine learning (ML) prediction model to enhance the assessment of in-hospital mortality risk in VAP patients.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!