Outcomes of in-hospital cardiac arrests during and after office hours in a single tertiary centre in Singapore.

INTRODUCTION: In-hospital cardiac arrest (IHCA) is a significant healthcare burden with a paucity of data in Singapore. Various factors, including time of cardiac arrest, affect survival from acute resuscitation. METHODS: This was a retrospective cohort study that evaluated the characteristics of patients who sustained an IHCA, including the Cardiac Arrest Survival Post Resuscitation In-hospital (CASPRI) scores, and the impact of arrest time in 220 consecutive cardiac arrests occurring in a tertiary hospital. The primary outcome was rate of return of spontaneous circulation (ROSC) post-IHCA, and the secondary outcome was 90-day survival. RESULTS: The ROSC rate among patients with IHCA out of and during office hours was 69.5% and 75.4%, respectively (odds ratio [OR] 0.74, 95% confidence interval [CI] 0.39-1.42). There were no statistically significant differences between the CASPRI scores of both groups. After adjusted analysis, the OR of ROSC post-IHCA out of office hours as compared to that during office hours was 0.78 (95% CI 0.39-1.53). The 90-day survival rate of patients who had an IHCA out of and during office hours was 25.7% and 34.6%, respectively (OR 0.65, 95% CI 0.32-1.34). The adjusted OR of 90-day survival was 0.66 (0.28-1.59). CONCLUSION: The results of this observational study did not show an association between the timing of cardiac arrest and the rate of ROSC or 90-day survival.

Improving response time and survival in ward based in-hospital cardiac arrest: A quality improvement initiative.

BACKGROUND: Survival in cardiac arrest is associated with rapid initiation of high-quality cardiopulmonary resuscitation (CPR) and advanced life support. To improve ROSC rates and survival, we identified the need to reduce response times and implement coordinated resuscitation by dedicated cardiac arrest teams (CATs). We aimed to improve ROSC rates by 10% within 6 months, and subsequent survival to hospital discharge. METHODS: We used the Model for Improvement to implement a ward-based cardiac arrest quality improvement (QI) initiative across 3 Plan-Do-Study-Act (PDSA) cycles. QI interventions focused on instituting dedicated CATs and resuscitation equipment, staff training, communications, audit framework, performance feedback, as well as a cardiac arrest documentation form. The primary outcome was the rate of ROSC, and the secondary outcome was survival to hospital discharge. Process measures were call center processing times, CAT response times and CAT nurses' knowledge and confidence regarding CPR. Balancing measures were the number of non-cardiac arrest activations and the number of cardiac arrest activations in patients with existing do-not-resuscitate orders. RESULTS: After adjustments for possible confounders in the multivariate analysis, there was a significant improvement in ROSC rate post-intervention as compared to the pre-intervention period (OR 2.05 [1.04-4.05], p = 0.04). Median (IQR) call center processing times decreased from 1.8 (1.6-2.0) pre-intervention to 1.4 (1.4-1.6) minutes post-intervention (p = 0.03). Median (IQR) CAT response times decreased from 5.1 (4.5-7.0) pre-intervention to 3.6 (3.4-4.3) minutes post-intervention (p < 0.001). After adjustments for possible confounders in the multivariate analysis, there was no significant improvement in survival to hospital discharge post-intervention as compared to the pre-intervention period (OR 0.71 [0.25-2.06], p = 0.53). CONCLUSION: Implementation of a ward-based cardiac arrest QI initiative resulted in an improvement in ROSC rates, median call center and CAT response times.