Predictive Value of Different Estimated Glomerular Filtration Rates on Hospital Adverse Events Following Acute Myocardial Infarction
ABSTRACT: to assess whether
different glomerular fltration rate (GFR) equations render different predictive
value on hospital adverse events in patients hospitalised due to acute
myocardial infarction. Methods: the study design is cross-sectional. Data from
consecutive patients with acute myocardial infarction were analyzed. Three
different estimated GFR equations, i.e. Cockroft-Gault (eGFRC-G), MDRD
(eGFRMDRD) and CKD-EPI (eGFRCKDEPI) were calculated. Hospital adverse events in
these study patients were recorded. The predictive values of these eGFRs on
hospital adverse events were compared with ROC curve. Univariate and
multivariable analysis to assess which GFR equation as independent predictor
for hospital adverse events were performed. Results: among 103 study patients,
49 patients (47.6%) experienced hospital adverse events. Proportion of hospital
adverse events were signifcantly associated with eGFRMDRD (p<0.01) and
eGFRCKD-EPI (p=0.02), but not with eGFRC-G (p=0.10). Hospital adverse events
were better predicted by eGFRMDRD than by eGFRCKD-EPI (AUC, 0.698; 95%CI:
0.596-0.800, p<0.01 versus AUC, 0.693; 95%CI: 0.591-0.796, p<0.01).
Multivariable analysis showed moderate (adjusted OR 3.50; 95%CI: 1.38-8.85,
p<0.01) and severe (adjusted OR 8.13, 95%CI: 1.38-47.91, p=0.02) kidney
dysfunctions based on eGFRMDRD were independent predictors for hospital adverse
events. Conclusion: an eGFR based on MDRD gave better predictive value than
eGFR based on CKD-EPI on hospital adverse events among acute myocardial
infarction. Moderate and severe kidney dysfunctions based on eGFRMDRD were
independent predictors for hospital adverse events following acute myocardial
infarction.
Penulis: Anggoro B. Hartopo,
Budi Y. Setianto, Putrika P.R. Gharini
Kode Jurnal: jpkedokterangg130259
