Deterioration, Clinical

Branch atheromatous disease (BAD) is a distinct subtype of ischemic stroke that is particularly prevalent among Chinese and other Asian populations. Patients with BAD are prone to early neurological deterioration and poor functional outcomes, and BAD is increasingly recognized as an independent disease entity. However, the association between BAD and cognitive impairment remains unclear. This nationwide, multicenter, prospective observational study will prospectively collect epidemiological, clinical, neuroimaging, functional, and cognitive outcome data from patients with BAD. The study aims to investigate the occurrence of cognitive impairment after BAD and identify the clinical and neuroimaging characteristics associated with cognitive impairment. In particular, the relationship between early neurological deterioration (END) and cognitive impairment will be investigated. As an exploratory objective, this study will further explore the potential brain network mechanisms underlying cognitive impairment associated with END events.

This multicenter, cluster-randomized, unblinded quality-improvement study evaluates whether home-based clinical assessment by municipal acute care teams can safely reduce hospital admissions among nursing home residents experiencing acute illness or clinical deterioration during out-of-hours periods. Participating nursing homes in the Capital Region of Denmark will be randomized to either usual care (contacting the regional medical helpline, 1813) or the intervention pathway, in which nursing home staff contact a municipal acute care team directly. The acute care team performs an on-site clinical assessment and, when needed, consults a senior physician in the hospital emergency department to establish a treatment and observation plan, which may include continued management at the nursing home under hospital responsibility. The study compares the intervention with usual care with respect to hospital admissions and mortality among nursing home residents.

The ONWARD study evaluates user experiences from continuous vital sign monitoring alarms sent to the clinical staff in case of deviating vital signs at the general hospital ward. User experiences are evaluated though a 5-point likert questionnaire.

The investigators aim to build a predictive tool for Adverse Outcome of Acute Pulmonary Embolism by Artificial Intelligence System Based on CT Pulmonary Angiography.

This study collected clinical, laboratory, and CT parameters of acute patients with acute pulmonary embolism from admission to predict adverse outcomes within 30 days after admission into hospital.

Rapid response teams (RRTs) have been adopted by hospitals to provide urgent critical care to hospitalized patients who require quick intervention to prevent further deterioration. Early warning scores (EWS) serve as a method to identify patients requiring RRT assessment by analyzing routinely collected data such as vital signs and laboratory results. The Visensia Safety Index (VSI) is an EWS that uses continuous vital sign monitoring and machine learning to identify the likelihood of deterioration and can be integrated with existing hospital data infrastructure. Initial studies of the VSI have both validated the system and found that patients monitored using VSI had a shorter duration of any instability and fewer episodes of serious and persistent instability. The investigators' recent retrospective analysis at The Ottawa Hospital (TOH) identified that implementation of an EWS could have detected earlier deterioration in over half of the patients identified, potentially preventing subsequent ICU admission, severity of illness, and/or mortality. Thus, this study aims to determine the feasibility and potential impact of implementing a portable continuous monitoring system with a VSI trigger at TOH to identify patients at high risk of deterioration.