AIMC Topic: Catheter-Related Infections

Clear Filters Showing 1 to 10 of 13 articles

Point-of-Care Sensors and Medical Internet-of-Things Technologies to Manage Catheter-Associated Urinary Tract Infections in the Intensive Care Unit.

Critical care nursing clinics of North America Mar 24, 2025
This article examines the current technologies used with indwelling urinary catheters to monitor potential catheter-associated urinary tract infections (CAUTIs) in the intensive care unit. Advancements in medical internet-of-things, artificial intell...
Catheters, Indwelling Urinary Tract Infections Internet of Things Urinary Catheterization Urinary Catheters Humans Intensive Care Units Point-of-Care Systems Catheter-Related Infections
View on PubMed DOI

Estimating individual risk of catheter-associated urinary tract infections using explainable artificial intelligence on clinical data.

American journal of infection control Oct 29, 2024
BACKGROUND: Catheter-associated urinary tract infections (CAUTIs) increase clinical burdens. Identifying the high-risk patients is crucial. We aimed to develop and externally validate an explainable, prognostic prediction model of CAUTIs among hospit...
Risk Assessment Catheter-Related Infections Urinary Tract Infections Humans Urinary Catheterization Artificial Intelligence Retrospective Studies Female Aged Young Adult Adult Male Middle Aged
View on PubMed DOI

Safety and Efficacy of Acute Central Venous Catheters for Hemodialysis with Sodium Bicarbonate versus an Antibiotic Catheter Locking Solution.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia May 9, 2024
This study was conducted to determine the safety and efficacy of acute central venous catheters (CVC) using a sodium bicarbonate catheter locking solution (SBCLS) versus an antibiotic catheter locking solution (ACLS). Our study included patients aged...
Time Factors Treatment Outcome Catheterization, Central Venous Central Venous Catheters Humans Sodium Bicarbonate Adult Anti-Bacterial Agents Catheter-Related Infections Male Female Catheters, Indwelling Middle Aged Aged Equipment Design Renal Dialysis
View on PubMed DOI

Assisting the infection preventionist: Use of artificial intelligence for health care-associated infection surveillance.

American journal of infection control Mar 14, 2024
BACKGROUND: Health care-associated infection (HAI) surveillance is vital for safety in health care settings. It helps identify infection risk factors, enhancing patient safety and quality improvement. However, HAI surveillance is complex, demanding s...
Cross Infection Epidemiological Monitoring Artificial Intelligence Infection Control Practitioners Infection Control Catheter-Related Infections Urinary Tract Infections Humans
View on PubMed DOI

Magnetic Soft Robot for Minimally Invasive Urethral Catheter Biofilm Eradication.

ACS nano Oct 23, 2023
Catheter-related biofilm infection remains the main problem for millions of people annually, affecting morbidity, mortality, and quality of life. Despite the recent advances in the prevention of biofilm formation, alternative methods for biofilm prev...
Quality of Life Biofilms Robotics Catheter-Related Infections Catheters, Indwelling Humans Urinary Tract Infections Magnetic Phenomena Urinary Catheters
View on PubMed DOI

Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated infection, yet measuring it accurately is challenging and resource-intensive. Electronic surveillance promises to make this task more objective and effic...
Humans Algorithms Prospective Studies Electronic Health Records Monitoring, Physiologic Natural Language Processing Documentation Catheter-Related Infections Cross Infection Urinary Tract Infections Patient Acuity Data Mining
View on PubMed

Assessing patient risk of central line-associated bacteremia via machine learning.

American journal of infection control Apr 13, 2018
BACKGROUND: Central line-associated bloodstream infections (CLABSIs) contribute to increased morbidity, length of hospital stay, and cost. Despite progress in understanding the risk factors, there remains a need to accurately predict the risk of CLAB...
Child, Preschool Child Bacteremia Catheterization, Central Venous Risk Assessment Infant Case-Control Studies Adolescent Catheter-Related Infections Academic Medical Centers Epidemiologic Methods Female Infant, Newborn Aged Aged, 80 and over Young Adult Adult Male Middle Aged Humans Machine Learning Retrospective Studies
View on PubMed DOI

Predicting central line-associated bloodstream infections and mortality using supervised machine learning.

Journal of critical care Feb 21, 2018
PURPOSE: The purpose of this study was to compare machine learning techniques for predicting central line-associated bloodstream infection (CLABSI).
Simplified Acute Physiology Score Central Venous Catheters Catheter-Related Infections Supervised Machine Learning Florida Intensive Care Units Humans Female Risk Assessment Databases, Factual Male Bacteremia Hospital Mortality Middle Aged Logistic Models Predictive Value of Tests
View on PubMed DOI

Adherence of staphylococcus aureus to catheter tubing inhibition by quaternary ammonium compounds.

The Pan African medical journal Sep 29, 2016
INTRODUCTION: is a Gram positive bacterium which is responsible for a wide range of infections. This pathogen has also the ability to adhere to biotic or abiotic surface such as central venous catheter (CVC) and to produce a biofilm. The aim of this...
Catheter-Related Infections Staphylococcal Infections Catheters Cetrimonium Anti-Infective Agents, Local Humans Betaine Biofilms Cetrimonium Compounds Microbial Sensitivity Tests Staphylococcus aureus
View on PubMed DOI

Scaling-up NLP Pipelines to Process Large Corpora of Clinical Notes.

Methods of information in medicine Nov 4, 2015
INTRODUCTION: This article is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare".
Hospitals, Veterans Vocabulary, Controlled Data Mining Datasets as Topic Utah Machine Learning Urinary Catheterization Decision Support Systems, Clinical Algorithms Natural Language Processing Humans Electronic Health Records Catheter-Related Infections Risk Assessment Urinary Tract Infections Prevalence
View on PubMed DOI
Popular Topics
Recent Journals