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Bedside Ultrasound for Guiding Fluid Removal in Patients with Pulmonary Edema: The Reverse-FALLS Protocol
Published on: July 28, 2018
Admission Bedside Lung Ultrasound Reclassifies Mortality Prediction in Patients With ST-Segment-Elevation Myocardial
Gustavo N Araujo1,2, Anderson D Silveira1,2, Fernando L Scolari1,2
1Universidade Federal do Rio Grande do Sul, Cardiology Post-Graduation Program, Brazil (G.N.A., A.D.S., F.L.S., J.L.C., F.P.M., R.B., W.M., G.P.M., F.C.F., S.C.G., R.V.W., M.V.W.).
Lung ultrasound (LUS) effectively predicts in-hospital mortality in ST-segment-elevation myocardial infarction patients. The LUS combined with Killip (LUCK) classification improves risk stratification beyond traditional methods.
Area of Science:
- Cardiology
- Medical Imaging
- Critical Care Medicine
Background:
- Early risk stratification is crucial for managing ST-segment-elevation myocardial infarction (STEMI).
- Acute heart failure significantly worsens prognosis in STEMI patients.
- Lung ultrasound (LUS) is recommended for assessing pulmonary congestion but its prognostic value in STEMI is unestablished.
Purpose of the Study:
- To evaluate the prognostic capability of admission Lung Ultrasound (LUS) in patients with ST-segment-elevation myocardial infarction (STEMI).
- To develop and validate a novel risk stratification tool combining LUS and Killip classification for STEMI patients.
Main Methods:
- A prospective study of 215 STEMI patients undergoing primary percutaneous coronary intervention.
- Lung ultrasound (LUS) was performed in 8 zones by a blinded operator before intervention.
- A LUS combined with Killip (LUCK) classification was developed and compared to Killip classification using ROC and net reclassification improvement analyses.
Main Results:
- Absence of pulmonary congestion on LUS had a 98.1% negative predictive value for in-hospital mortality.
- The LUCK classification demonstrated a higher area under the ROC curve (0.89) for in-hospital mortality compared to Killip classification (0.86).
- LUCK classification showed a 0.18 net reclassification improvement over Killip classification, indicating enhanced predictive accuracy.
Conclusions:
- Admission LUS, when added to Killip classification, is more sensitive than physical examination for identifying STEMI patients at risk of in-hospital mortality.
- The LUCK classification offers superior prognostic ability compared to the Killip classification alone.
- LUS is a valuable tool for risk stratification in STEMI, particularly in ruling out mortality risk when pulmonary congestion is absent.
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