Background/Objectives: Inpatient clinical deterioration is a major contributor to adverse hospital outcomes, such as unplanned intensive care unit (ICU) admissions and death. Rapid response systems aim to address this challenge by enabling early identification and intervention in at-risk patients. This study evaluated the impact of implementing a mobile intensive care team on clinical outcomes in surgical patients. Methods: A retrospective observational cohort study was conducted in a tertiary care hospital, comparing two consecutive periods: a pre-intervention phase (PRETIM) and a post-intervention phase (TIM). The study included 17,156 adult surgical patients. The TIM consisted of a proactive outreach team composed of one attending intensivist and two resident physicians, focusing on post-ICU monitoring and early identification of clinical deterioration on surgical wards. The primary outcome was in-hospital mortality. Secondary outcomes included ICU readmission and length of stay. Multivariable logistic regression adjusted for age, sex and surgical section was performed, along with subgroup and sensitivity analyses excluding early non-modifiable deaths. Results: Baseline characteristics were comparable between groups. In-hospital mortality decreased significantly following implementation of the TIM (8.0% vs. 5.3%; p < 0.001), corresponding to an absolute risk reduction of 2.7% and a number needed to treat of 37. ICU readmission rates did not differ significantly between groups. Sensitivity analysis excluding early deaths confirmed the mortality reduction. Subgroup analysis demonstrated consistent effects across surgical specialties, with the largest reductions observed in neurosurgery and general surgery. Conclusions: The implementation of a mobile intensive care team was associated with a significant and clinically meaningful reduction in in-hospital mortality among surgical patients. The findings support the role of proactive post-ICU monitoring and early intervention strategies in improving patient outcomes in high-risk hospital populations.
Toma et al. (Thu,) studied this question.