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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.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MEESSI score | Diagnostic Test | The score aimed to predict the AHF patient's future in the month following management for ED |
| Measure | Description | Time Frame |
|---|---|---|
| MEESSI score | predict the AHF patient's future in the month following management in ED with The MEESSI (Multiple Estimation of risk based on the Emergency department Spanish Score In patients with AHF).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. | 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| Re-admission rate [ Time Frame: 30 days ] | 30-day re-admission rate compared between the 4 risk categories defined by the MEESSI score | 30 days |
| Mortality rate [ Time Frame: 30 days ] | Mortality rate at 30 days compared between the 4 risk categories defined by the MEESSI score |
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Inclusion Criteria:
Exclusion Criteria:
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Patient admitted to emergencies with a final diagnosis of AHF
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Semir Nouira, Professor | Contact | 7310600 | 216 | semir.nouira@rns.tn |
| Khaoula Bel Haj Ali, MD | Contact | 7310600 | 216 | belhajalikhaoula@yahoo.fr |
| Name | Affiliation | Role |
|---|---|---|
| Semir Nouira, Pr | University of Monastir | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Emergency department of University hospital Fattouma Bourguiba | Recruiting | Monastir | 5000 | Tunisia |
EVALUATE THE PREDICTIVE IMPACT OF THE MEESSI SCORE FOR THE RISK STRATIFICATION OF PATIENTS ADMITTED FOR ACUTE HEART FAILURE IN EMERGENCY STRUCTURES
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| ID | Term |
|---|---|
| D004630 | Emergencies |
| D006331 | Heart Diseases |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D002318 | Cardiovascular Diseases |
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| 30 days |
| Sensitivity [ Time Frame: 30 days ] | Sensitivity, specificity and ROC curve of the MEESSI score in relation to the composite criterion according to the 4 risk categories | 30 days |