Characteristics and outcomes of patients screened by the rapid response team and transferred to intensive care unit in South Korea
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background The rapid response system (RRS) is associated with a reduction in in-hospital mortality. This study aimed to determine the characteristics and outcomes of patients transferred to the intensive care unit (ICU) by a rapid response team (RRT). Methods This retrospective, multicenter cohort study included patients from nine hospitals in South Korea. Adult patients who were admitted to the general ward (GW) and required RRS activation were included. Patients with do-not-resuscitate (DNR) orders and without lactate level or Sequential Organ Failure Assessment (SOFA) score were excluded. Results A total of 8,228 patients were enrolled, 3,379 were transferred to the ICU. The most common reasons for RRT activation were respiratory distress, sepsis and septic shock. The number of patients who underwent intervenions, the length of hospital stay, 28-day mortality, and in-hospital mortality were higher in the ICU group than in the GW group. Factors that could affect both 28-day and in-hospital mortality included the severity score, low PaO2/FiO2 ratio, higher lactate and C-reactive protein (CRP) levels, and hospitalization time prior to RRT activation. Conclusion ICU transfer after RRT activation does not significantly affect patient outcomes, highlighting the need for more individualized patient assessments to better individualize ICU transfer and related interventions.
Source: Scientific Reports
Institutions: Soonchunhyang University Hospital Bucheon, University of Ulsan, Ulsan University Hospital, Asan Medical Center, Samsung Medical Center, Sungkyunkwan University, Dong-A University Hospital, Dong-A University, Inha University, Inha University Hospital, CHA University Bundang Medical Center, CHA University, Seoul National University, Chungnam National University, Seoul National University Hospital, Chungnam National University Hospital
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,590
Funder: Chungnam National University
OpenAlex ID: W4403685077
