RESUMEN
Importance: Preventing in-hospital cardiac arrest (IHCA) likely represents an effective strategy to improve outcomes for critically ill patients, but feasibility of IHCA prevention remains unclear. Objective: To determine whether a low-technology cardiac arrest prevention (CAP) practice bundle decreases IHCA rate. Design, Setting, and Participants: Pediatric cardiac intensive care unit (CICU) teams from the Pediatric Cardiac Critical Care Consortium (PC4) formed a collaborative learning network to implement the CAP bundle consistent with the Institute for Healthcare Improvement framework; 15 hospitals implemented the bundle voluntarily. Risk-adjusted IHCA incidence rates were analyzed across 2 time periods, 12 months (baseline) and 18 months after CAP implementation (intervention) using difference-in-differences (DID) regression to compare 15 CAP and 16 control PC4 hospitals that chose not to participate in CAP but had IHCA rates tracked in the PC4 registry. Patients deemed at high risk for IHCA, based on a priori evidence-based criteria and empirical hospital-specific criteria, were selected to receive the CAP bundle. Data were collected from July 2018 to December 2019, and data were analyzed from March to August 2020. Interventions: CAP bundle included 5 elements developed to promote increased situational awareness and communication among bedside clinicians to recognize and mitigate deterioration in high-risk patients. Main Outcomes and Measures: Risk-adjusted IHCA incidence rate across all CICU admissions (IHCA events divided by all admissions). Results: The bundle was activated in 2664 of 10â¯510 CAP hospital admissions (25.3%); admission characteristics were similar across study periods. There was a 30% relative reduction in risk-adjusted IHCA incidence rate at CAP hospitals (intervention period: 2.6%; 95% CI, 2.2-2.9; baseline: 3.7%; 95% CI, 3.1-4.0), but no change at control hospitals (intervention period: 2.7%; 95% CI, 2.3-2.9; baseline: 2.7%; 95% CI, 2.2-3.0). DID analysis confirmed significantly reduced odds of IHCA among all admissions at CAP hospitals compared with control hospitals during the intervention period vs baseline (odds ratio, 0.72; 95% CI, 0.56-0.91; P = .01). DID odds ratios were 0.72 (95% CI, 0.53-0.98) for the surgical subgroup, 0.74 (95% CI, 0.48-1.14) for the medical subgroup, and 0.72 (95% CI, 0.50-1.03) for the high-risk admission subgroup at CAP hospitals after intervention. All-cause risk-adjusted mortality rate did not change after intervention. Conclusions and Relevance: Implementation of this CAP bundle led to significant IHCA reduction across multiple pediatric CICUs. Future studies may determine if this bundle can be effective in other critically ill populations.
Asunto(s)
Enfermedad Crítica , Paro Cardíaco , Niño , Paro Cardíaco/epidemiología , Paro Cardíaco/prevención & control , Mortalidad Hospitalaria , Hospitalización , Hospitales , Humanos , Unidades de Cuidado Intensivo PediátricoRESUMEN
OBJECTIVE: To examine if fluid balance surrounding pediatric intensive care unit (PICU) admission in hematopoietic stem cell transplant (HSCT) patients was associated with mortality, ventilator-free days, and intensive care unit (ICU)-free days. To explore other population-specific factors associated with poor outcome. MATERIALS AND METHODS: Retrospective review of HSCT patients admitted to 2 quaternary PICUs, Children's Hospital Los Angeles and University of California San Francisco Benioff Children's Hospital from January 2009 to December 2014. RESULTS: Of 144 patients, 92 were identified with complete fluid balance data available. No difference in fluid balance between survivors and nonsurvivors in the 24 hours preceding PICU admission (P = .81) or when the first 24 hours of PICU stay were taken into account (P = .48) was identified. There was no difference in ventilator-free or ICU-free days. Comparing Pediatric Index of Mortality (PIM)-2, Pediatric Risk of Mortality (PRISM)-3, and a multivariable model using independent risk factors identified through multivariable analysis, the receiver operating characteristic plot for the multivariable model (area under the curve = 0.844 [95% confidence interval: 0.77-0.92]) was superior to both PIM-2 and PRISM-3 in discriminating mortality. CONCLUSIONS: Fluid balance immediately preceding and early in the course of admission was not associated with mortality in PICU HSCT patients. A subset of variables was identified which better discriminated mortality in this cohort than accepted PICU severity of illness scores.