We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ARAB HEALTH - INFORMA

Download Mobile App




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

Cutting-Edge Monitoring Device Could Outsmart Superbugs Resistant to Antibiotics

By HospiMedica International staff writers
Posted on 19 Nov 2024
Print article
Image: Researcher Vincent Tam examining bacteria to optimize clinical use of antibiotics to combat them (Photo courtesy of UH College of Pharmacy)
Image: Researcher Vincent Tam examining bacteria to optimize clinical use of antibiotics to combat them (Photo courtesy of UH College of Pharmacy)

Gram-negative infections are becoming increasingly challenging to treat, particularly in hospital settings, where they can lead to conditions such as urinary tract infections, pneumonia, bloodstream infections, surgical or wound infections, and meningitis. These bacteria are particularly resistant due to their protective capsule, which protects them from being ingested by white blood cells responsible for fighting infections. Furthermore, when these resilient bacteria die, they release toxins from their outer membrane, triggering inflammation, fever, or even septic shock. The ability of gram-negative bacteria to resist multiple antibiotics makes them a significant global health threat, complicating treatment efforts. To combat this, researchers are developing more effective combination therapies that can bypass these bacterial defenses.

Researchers at UH College of Pharmacy (Houston, TX, USA) are developing an advanced monitoring device and data-processing algorithm to aid in the creation of these combination therapies. Their approach involves first identifying effective antibiotic combinations for multidrug-resistant bacteria and then validating the predictions made by their mathematical models with actual clinical outcomes. The researchers will focus on three highly resistant gram-negative strains: P. aeruginosa, A. baumannii, and K. pneumoniae. However, the proposed system is not limited to specific antibiotic-pathogen combinations. It has the potential to be applied to a wide range of antimicrobial agents, including antibacterials, antifungals, and antiretrovirals, as well as to pathogens with diverse microbiological characteristics, such as Neisseria gonorrhoeae, Candida auris, and HIV.

“The rate of new drug development is unlikely to keep pace with the increase in multidrug resistance, so a robust method to guide rational selection of combination therapy would be crucial to delay returning to the pre-antibiotic era. Our long-term goal is to optimize clinical use of antibiotics to combat the emergence of resistance,” said Vincent Tam, professor of Pharmacy Practice and Translational Research at the UH College of Pharmacy who will be leading the development. “Upon completion of our research, clinicians could be guided in the selection of combination therapy, without comprehensive knowledge of the resistance mechanisms involved.”

Gold Member
12-Channel ECG
CM1200B
Gold Member
POC Blood Gas Analyzer
Stat Profile Prime Plus
New
4K Ultra-HD Fluorescence Imaging Camera
SV-M4K40
New
Oxygen Concentrator
ZH-A51

Print article

Channels

Surgical Techniques

view channel
Image: Catheter electrodes could be successfully delivered and guided into ventricular spaces and brain surface for electrical stimulation (Photo courtesy of Rice University)

Novel Neural Interface to Help Diagnose and Treat Neurological Disorders with Minimal Surgical Risks

Traditional methods of interfacing with the nervous system typically involve creating an opening in the skull to access the brain. Researchers have now introduced an innovative technique called endocisternal... Read more

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.