ABSTRACT
BACKGROUND: While the indication for noninvasive ventilation (NIV) in severely hypoxemic patients with acute heart failure (AHF) is often indicated and may improve clinical course, the benefit of early initiation before patient arrival to the emergency department (ED) remains unknown. OBJECTIVE: This study aimed to assess the impact of early initiation of NIV during emergency medical service (EMS) transportation on outcomes in patients with AHF. DESIGN: A secondary retrospective analysis of the EAHFE (Epidemiology of AHF in EDs) registry. SETTING: Fifty-three Spanish EDs. PARTICIPANTS: Patients with AHF transported by EMS physician-staffed ambulances who were treated with NIV at any time during of their emergency care were included and categorized into two groups based on the place of NIV initiation: prehospital (EMS group) or ED (ED group). OUTCOME MEASURES: Primary outcome was the composite of in-hospital mortality and 30-day postdischarge death, readmission to hospital or return visit to the ED due to AHF. Secondary outcomes included 30-day all-cause mortality after the index event (ED admission) and the different component of the composite primary endpoint considered individually. Multivariate logistic regressions were employed for analysis. RESULTS: Out of 2406 patients transported by EMS, 487 received NIV (EMS group: 31%; EMS group: 69%). Mean age was 79â years, 48% were women. The EMS group, characterized by younger age, more coronary artery disease, and less atrial fibrillation, received more prehospital treatments. The adjusted odds ratio (aOR) for composite endpoint was 0.66 (95% CI: 0.42-1.05). The aOR for secondary endpoints were 0.74 (95% CI: 0.38-1.45) for in-hospital mortality, 0.74 (95% CI: 0.40-1.37) for 30-day mortality, 0.70 (95% CI: 0.41-1.21) for 30-day postdischarge ED reconsultation, 0.80 (95% CI: 0.44-1.44) for 30-day postdischarge rehospitalization, and 0.72 (95% CI: 0.25-2.04) for 30-day postdischarge death. CONCLUSION: In this ancillary analysis, prehospital initiation of NIV in patients with AHF was not associated with a significant reduction in short-term outcomes. The large confidence intervals, however, may preclude significant conclusion, and all point estimates consistently pointed toward a potential benefit from early NIV initiation.
ABSTRACT
BACKGROUND: The multiple estimation of risk based on the emergency department Spanish score in patients with acute heart failure (MEESSI-AHF) is a risk score designed to predict 30-day mortality in acute heart failure patients admitted to the emergency department. Using a derivation cohort, we evaluated the performance of the MEESSI-AHF risk score to predict 11 different short-term outcomes. METHODS: Patients with acute heart failure from 41 Spanish emergency departments (n=7755) were recruited consecutively in two time periods (2014 and 2016). Logistic regression models based on the MEESSI-AHF risk score were used to obtain c-statistics for 11 outcomes: three with follow-up from emergency department admission (inhospital, 7-day and 30-day mortality) and eight with follow-up from discharge (7-day mortality, emergency department revisit and their combination; and 30-day mortality, hospital admission, emergency department revisit and their two combinations with mortality). RESULTS: The MEESSI-AHF risk score strongly predicted mortality outcomes with follow-up starting at emergency department admission (c-statistic 0.83 for 30-day mortality; 0.82 for inhospital death, P=0.121; and 0.85 for 7-day mortality, P=0.001). Overall, mortality outcomes with follow-up starting at hospital discharge predicted slightly less well (c-statistic 0.80 for 7-day mortality, P=0.011; and 0.75 for 30-day mortality, P<0.001). In contrast, the MEESSI-AHF score predicted poorly outcomes involving emergency department revisit or hospital admission alone or combined with mortality (c-statistics 0.54 to 0.62). CONCLUSIONS: The MEESSI-AHF risk score strongly predicts mortality outcomes in acute heart failure patients admitted to the emergency department, but the model performs poorly for outcomes involving hospital admission or emergency department revisit. There is a need to optimise this risk score to predict non-fatal events more effectively.
