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
ZeptoMetrix an Antylia scientific company

Download Mobile App




Pediatric HAIs Are the Most Common Type

By LabMedica International staff writers
Posted on 26 Jan 2017
The prevalence and type of health care-associated infections (HAIs) in children in Europe and risk factors for infection in this population has been described in a multinational study.

Point-prevalence surveys offer an alternative method to incidence surveillance to estimate the hospital-wide burden of health-care-associated infections within a reasonable budget. More...
Thus, they can be used a wider range of settings including institutes with limited resources and allow broader comparison of rates across a wider range of socio-cultural contexts.

A large group of scientists associated with the European Centre for Disease Prevention and Control (ECDC) analyzed data from the ECDC point prevalence survey of HAIs and antimicrobial use in European acute care hospitals 2011-2012, and included 770 infections reported in 726 children and adolescents. The findings show that the prevalence of infections was highest in pediatric intensive care units where one in six children were infected (15.5%) and neonatal intensive care units, where one in ten babies (10.7%) where infected. Most HAIs (77%) were identified in infants younger than 12 months.

Bloodstream infections were the most common type of infection (45%), followed by lower respiratory tract infections (22%). Although the vast majority of bloodstream infections in the study were reported in infants younger than 12 months, the proportion remained high in other age groups as well. This type of infections in neonates and children are associated with a high mortality and long-term adverse neurological outcomes. The team reported 392 microorganisms in 342 (44%) of the 770 health-care-associated infections; 343 (88%) were bacteria, 28 (7%) fungi, and 21 (5%) viruses. Enterobacteriaceae were the most commonly isolated microorganisms (113 [15%]), followed by coagulase-negative staphylococci and Staphylococcus aureus. Of the few reported viruses, rotaviruses were the most frequently identified (13 of 21 isolates).

The authors stated that a pan-European programme is urgently required to prevent and reduce the unacceptably high rates of HAIs in children in Europe, with a focus in neonatal and pediatric intensive care units and addressing the issues related to healthcare-associated bloodstream infections. The study was published on January 13, 2017, in the journal The Lancet Infectious Diseases.


Platinum Member
ADAMTS-13 Protease Activity Test
ATS-13 Activity Assay
Verification Panels for Assay Development & QC
Seroconversion Panels
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
Turbidimetric Control
D-Dimer Turbidimetric Control
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.