Latar Belakang: Skor Global Registry of Acute Coronary Events (GRACE) adalahmodel stratifikasi risiko yang secara luas telah digunakan untuk memprediksi luaranpada pasien infark miokard akut (IMA). Pasca IMA dapat terjadi disfungsi miokardbaik sistolik maupun diastolik. Myocardial Performance Index (MPI) merupakanparameter ekokardiografi yang mampu menggambarkan fungsi sistolik dandiastolik ventrikel kiri secara bersamaan dan merupakan prediktor independenkejadian Major Adverse Cardiovascular Event (MACE) pasca IMA.Tujuan: Mengetahui peranan penambahan MPI ke dalam skor GRACE untukmemprediksi MACE selama lima hari perawatan rumah sakit.Metode: Penelitian kohort prospektif pada 75 pasien IMA di ruang perawatanintensif jantung RSCM antara Juli-November 2020. Dilakukan perhitungan totalskor GRACE saat pasien masuk rumah sakit dan pemeriksaan ekokardiografi untukmendapatkan nilai MPI dilaksanakan dalam 72 jam perawatan rumah sakit.Observasi terhadap kejadian MACE selama 5 hari perawatan rumah sakit dilakukanpada seluruh pasien. Peranan penambahan parameter MPI ke dalam skor GRACEdinilai menggunakan perubahan area under curve (AUC) metode DeLong,likelihood ratio test (LRT) dan continous net reclassification improvement (cNRI).Hasil: Kemampuan prediksi skor GRACE baik (AUC 0,753 IK 95% 0,639-0,868).Penambahan MPI ke dalam skor GRACE secara signifikan meningkatkan performamodel kombinasi (AUC 0,801 IK 95% 0,699-0,902 p=0,354, LRT 4,65 p=0,03 dancNRI 0,515 IK 95% 0,008-1,021 p=0,046).Simpulan: Penambahan MPI ke dalam skor GRACE signifikan meningkatkankemampuan skor kombinasi untuk memprediksi MACE selama lima hari perawatanrumah sakit pada pasien IMA.

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Background: The Global Registry of Acute Coronary Events (GRACE) risk score

is widely recommended for risk assessment in patients with acute myocardial

infarction (AMI). Myocardial infarction induces variable degrees of impairment in

left ventricular (LV) systolic and diastolic function. Myocardial Performance Index

(MPI) is an echocardiography parameter that capable of estimating combined

systolic and diastolic LV performance and can independently predict Major

Adverse Cardiovascular Events (MACE) post AMI.

Objective: To investigate whether MPI has incremental predictive value over the

GRACE risk score in predicting MACE during five days of hospitalization after

AMI.

Methods: A prospective cohort study was conducted in 75 patients presented with

AMI in Intensive Cardiac Care Unit Cipto Mangunkusumo Hospital between July

to November 2020. Total GRACE score was calculated on patient admission and

echocardiography was conducted within 72 hours of hospitalization for

measurement of MPI. All patients were observed for the incidence of MACE during

five days of hospitalization. The incremental predictive value of the GRACE risk

score alone and combined with MPI was assessed by the change in area under

curve (AUC) by DeLong’s method, likelihood ratio test (LRT) and continuous net

reclassification improvement (cNRI).

Results: The GRACE risk score demonstrated good discrimination for MACE

(AUC 0.753 95% CI 0.639-0.868). Adding MPI to the GRACE risk score improved

model performance significantly (AUC 0.801 95% CI 0.699-0.902 p=0.354, LRT

4.65 p=0.03 and cNRI 0.515 95% CI 0.008-1.021 p=0.046).

Conclusions: Adding MPI to the GRACE risk score significantly improves risk

prediction of MACE during five days of hospitalization after AMI.