Prevalence of use of physical restraints in pediatric intensive care units and correlated variables: A Spanish multicenter study.

Objective: To calculate the prevalence of physical restraint (PR) use in Spanish PICUs and (2) to analyze the correlation between the prevalence of PR use and the sociodemographic, clinical variables of the patients and the PICU structural and organizational variables.

Methods: We conducted a multicenter prevalence study from January 2022 to January 2023 in Spanish PICUs. The method of data collection was by direct observation, review of the patient's medical history, and asking the professionals involved in the patient's care.

Intention to use physical restraint in paediatric intensive care units and correlated variables: A multicentre and cross-sectional study.

Objectives: To determine the intention to use physical restraint (PR) and the relationship with sociodemographic and professional variables of the Paediatric Intensive Care Unit (PICU) nurses.

Research Methodology/design And Setting: A multicentre and correlational study was carried out from October 2021 to December 2023 in five paediatric intensive care units from five maternal and child hospitals in Spain. The Paediatric Physical Restraint-Theory of Planned Behaviour Questionnaire was provided.

The Direct Referral to Endovascular Center criteria: a proposal for pre-hospital evaluation of acute stroke in the Madrid Stroke Network.

Background And Purpose: For patients with acute ischaemic stroke due to large-vessel occlusion, it has recently been shown that mechanical thrombectomy (MT) with stent retrievers is better than medical treatment alone. However, few hospitals can provide MT 24 h/day 365 days/year, and it remains unclear whether selected patients with acute stroke should be directly transferred to the nearest MT-providing hospital to prevent treatment delays. Clinical scales such as Rapid Arterial Occlusion Evaluation (RACE) have been developed to predict large-vessel occlusion at a pre-hospital level, but their predictive value for MT is low.