Unlabelled: Clinical deterioration of hospitalized patients is common and can lead to critical illness and death. Rapid response teams (RRTs) assess and treat high-risk patients with signs of clinical deterioration to prevent further worsening and subsequent adverse outcomes. Whether activation of the RRT early in the course of clinical deterioration impacts outcomes, however, remains unclear. We sought to characterize the relationship between increasing time to RRT activation after physiologic deterioration and short-term patient outcomes.
Design: Retrospective multicenter cohort study.
Setting: Three academic hospitals in Pennsylvania.
Patients: We included the RRT activation of a hospitalization for non-ICU inpatients greater than or equal to 18 years old.
Interventions: None.
Measurements And Main Results: The primary exposure was time to RRT activation after physiologic deterioration. We selected four Cardiac Arrest Risk Triage (CART) score thresholds a priori from which to measure time to RRT activation (CART score ≥ 12, ≥ 16, ≥ 20, and ≥ 24). The primary outcome was 7-day mortality-death or discharge to hospice care within 7 days of RRT activation. For each CART threshold, we modeled the association of time to RRT activation duration with 7-day mortality using multivariable fractional polynomial regression. Increased time from clinical decompensation to RRT activation was associated with higher risk of 7-day mortality. This relationship was nonlinear, with odds of mortality increasing rapidly as time to RRT activation increased from 0 to 4 hours and then plateauing. This pattern was observed across several thresholds of physiologic derangement.
Conclusions: Increasing time to RRT activation was associated in a nonlinear fashion with increased 7-day mortality. This relationship appeared most marked when using a CART score greater than 20 threshold from which to measure time to RRT activation. We suggest that these empirical findings could be used to inform RRT delay definitions in further studies to determine the clinical impact of interventions focused on timely RRT activation.
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http://dx.doi.org/10.1097/CCE.0000000000000786 | DOI Listing |
Best Pract Res Clin Gastroenterol
December 2024
Department of Critical Care Medicine, University of Alberta, Edmonton, Canada; Division of Gastroenterology (Liver Unit), University of Alberta, Edmonton, Canada. Electronic address:
Crit Care
December 2024
Division of Nephrology, Department of Medicine, Kidney Research Institute, University of Washington Medical Center, 325 9th Avenue, Seattle, WA, 98104, USA.
Background: Patients with sepsis-induced AKI can be classified into two distinct sub-phenotypes (AKI-SP1, AKI-SP2) that differ in clinical outcomes and response to treatment. The biologic mechanisms underlying these sub-phenotypes remains unknown. Our objective was to understand the underlying biology that differentiates AKI sub-phenotypes and associations with kidney outcomes.
View Article and Find Full Text PDFHealth Sci Rep
December 2024
Department of Endocrinology, Metabolism and Nephrology Nippon Medical School Tokyo Japan.
Background And Aims: Hypertensive emergencies, characterized by elevated blood pressure (BP) and multiple organ damage, have poor prognosis. Patients occasionally show gradual improvement in renal function with appropriate antihypertensive treatment despite renal impairment. However, reports analyzing factors predicting prognosis in patients with hypertensive emergencies and severe renal impairment are limited.
View Article and Find Full Text PDFAust Crit Care
December 2024
King Saud bin Abdulaziz University for Health Sciences College of Medicine, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; Intensive Care Department, King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia. Electronic address:
Background: The systolic shock index (SSI) is used to direct management and predict outcomes, but its utility in patients requiring rapid response team (RRT) activation is unclear.
Objectives: We explored whether SSI can predict the outcomes of ward patients experiencing clinical deterioration and compared its performance with other parameters.
Methods: This retrospective study included adult patients in medical/surgical wards who required RRT activation.
Sensors (Basel)
November 2024
School of Automation, Beijing Information Science and Technology University, Beijing 100192, China.
To address the design and application requirements for USVs (Unmanned Surface Vehicles) to autonomously escape from constrained environments using a minimal number of sensors, we propose a path planning algorithm based on the RRT* (Rapidly Exploring Random Tree*) method, referred to as BN-RRT* (Blind Navigation Rapidly Exploring Random Tree*). This algorithm utilizes the positioning information provided by the GPS onboard the USV and combines collision detection data from collision sensors to navigate out of the trapped space. To mitigate the inherent randomness of the RRT* algorithm, we integrate the Artificial Potential Field (APF) method to enhance directional guidance during the sampling process.
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