Evaluate the Predictive Impact of the Meessi MEESSI Score for the Risk Stratification of Patients Admitted for Acute Heart Failure in Emergency Department
Evaluate the Predictive Impact of the Meessi MEESSI Score for the Risk Stratification of Patients Admitted for Acute Heart Failure in Emergency Department
Our primary purpose is to assess MEESSI score in predicting mortality and readmission of patients managed for acute heart failure (AHF) in Emergency Department.
European Society of Cardiology recommend risk stratification for patients with AHF.
Improved risk stratification of acute heart failure (AHF) in the emergency department (ED) may help physicians' decisions regarding patient admission or early discharge disposition. The MEESSI-AHF (Multiple Estimation of risk based on the Emergency department Spanish Score In patients with AHF) score was developed to predict 30-day mortality in patients presenting with AHF EDs in Spain. Whether it performs well in other countries is unknown.
The MEESSI-AHF risk model includes 13 variables readily available on arrival to Emergency Department. The 40% of patients classified as LOW RISK (30-day mortality: <2%) should be considered as potential candidates to be early discharged from Emergency Department without admission after adequate response to initial treatment. The 10% of patients classified as VERY HIGH RISK (30-day mortality: >2%) may clearly benefit from hospital admission.
Objective: To externally validate the MEESSI-AHF score in another country.
Inclusion Criteria:
Exclusion Criteria:
semir.nouira@rns.tn7310600 ext. 216
belhajalikhaoula@yahoo.fr7310600 ext. 216