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Showing 241-252 of 316 results.

IVTEAM

PICC-RVT risk assessment – Full Text

"Machine learning models that incorporate time-to-event data can effectively predict PICC-RVT risk. The DeepSurv model, in particular, shows excellent discriminative and calibration capabilities. Albumin levels, type of prefill sealant, and activated partial thromboplastin time are critical indicators for identifying and managing high-risk PICC-RVT patients" Li et al (2025).

IVTEAM

Central line care in pediatric critical care nursing

"The aim of this study was to develop, implement, and evaluate the effectiveness of a serious, simulated, gaming-based intervention to improve the skills and knowledge of RNs in the early stages of their career regarding central line insertion, care, and infection prevention" Yabrodi et al (2025).

IVTEAM

Flushing peripheral intravenous catheters research protocol – Full Text

"The evidence on PVC flushing practices is dispersed, making it difficult to draw clear conclusions about current practices and clinical implications. A scoping review is needed to explore and synthesise this evidence systematically and to systematically map the existing research on PVC flushing by assessing the scope, methodologies and outcomes of existing studies" Deng et al (2025).

IVTEAM

Nurse-driven CLABSI prevention in intensive care units

"As a result, it was observed that the nurse-driven, central catheter-related bloodstream infection prevention algorithm, prepared using evidence-based clinical guidelines, reduced the rates of infection. Therefore, it is recommended to use algorithm studies as a long-term guide in intensive care units" Acun et al (2025).

IVTEAM

Adequacy of CLABSI as a quality measure – Full Text

"Efforts should be redirected toward revising the CLABSI definition and possibly reevaluating its criteria. Resources should be assigned to further investigate and systematically prevent BSIs from secondary sources while adhering to existing CLABSI prevention bundles" Mathur et al (2025).

IVTEAM

Peripheral intravenous catheter failure

"This proprietary and novel machine learning algorithm can accurately and reliably predict PIVC failure 1 day prior to clinically evident failure" Bahl et al (2025).

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The NIVAS Board

UK Vessel Health & Preservation Video