Aims: Although pre-hospital risk stratification of patients with suspected non-ST-elevation acute coronary syndrome (NSTE-ACS) by ambulance paramedics is feasible, it has not been investigated in daily practice whether referral decisions based on this risk stratification is safe and does not increase major adverse cardiac events (MACE). In Phase III of the FamouS Triage study, it was investigated whether referral decisions by ambulance paramedics based on a pre-hospital HEART score, is non-inferior to routine management.
Methods And Results: FamouS Triage Phase III is a non-inferiority study, comparing the occurrence of MACE before (Phase II) and after (Phase III) implementation of referral decisions based on a pre-hospital HEART score.
Introduction: Although increasing evidence shows that in patients with suspected non-ST-elevation acute coronary syndrome (NSTE-ACS) both hospital and pre-hospital acquired HEART (History, ECG, Age, Risk factors, Troponin) scores have strong predictive value, pre-hospital and hospital acquired HEART scores have never been compared directly.
Methods: In patients with suspected NSTE-ACS, the HEART score was independently prospectively assessed in the pre-hospital setting by ambulance paramedics and in the hospital by physicians. The hospital HEART score was considered the gold standard.
It is not yet investigated whether referral decisions based on prehospital risk stratification of non-ST-elevation Acute Coronary Syndrome (NSTE-ACS) by the complete History, ECG, Age, Risk factors and initial Troponin (HEART) score are feasible and safe. Implementation of referral decisions based on the prehospital acquired HEART score in patients with suspected NSTE-ACS is feasible and not inferior to routine management in the occurrence of major adverse cardiac events within 45 days. FamouS Triage 3 is a feasibility study with a before-after sequential design.
View Article and Find Full Text PDFIntroduction: Endometriosis symptoms are nonspecific and overlap with other gynecologic and gastrointestinal diseases, leading to long diagnostic delays. The burden of endometriosis has been documented; however, little is known about the impact of diagnostic delays on healthcare costs leading up to diagnoses. The purpose of this study was to examine the economic impact of diagnostic delays on pre-diagnosis healthcare utilization and costs among patients with endometriosis.
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