Renal Function in Relation to Cardiac 123I-MIBG Scintigraphy in Patients with Chronic Heart Failure
Author(s) -
Derk O. Verschure,
G. Aernout Somsen,
Berthe L.F. van EckSmit,
Hein J. Verberne
Publication year - 2012
Publication title -
international journal of molecular imaging
Language(s) - English
Resource type - Journals
eISSN - 2090-1712
pISSN - 2090-1720
DOI - 10.1155/2012/434790
Subject(s) - medicine , renal function , cardiology , heart failure , hazard ratio , ejection fraction , scintigraphy , proportional hazards model , creatinine , cardiac function curve , confidence interval
The aim of this study was to explore if estimates of renal function could explain variability of 123 I-metaiodobenzylguanidine ( 123 I-MIBG) assessed myocardial sympathetic activity. Furthermore estimates of renal function were compared to 123 I-MIBG as predictors of cardiac death in chronic heart failure (CHF). Semi-quantitative parameters of 123 I-MIBG myocardial uptake and washout were calculated using early heart/mediastinum ratio (H/M), late H/M and washout. Renal function was calculated as estimated Creatinine Clearance (e-CC) and as estimated Glomerular Filtration Rate (e-GFR). Thirty-nine patients with CHF (24 males; age: 64.4 ± 10.5 years; NYHA II/III/IV: 17/20/2; LVEF: 24.0 ± 11.5%) were studied. Variability in any of the semi-quantitative 123 I-MIBG myocardial parameters could not be explained by e-CC or e-GFR. During follow-up (60 ± 37 months) there were 6 cardiac deaths. Cox proportional hazard regression analysis showed that late H/M was the only independent predictor for cardiac death (Chi-square 3.2, regression coefficient: −4.095; standard error: 2.063; hazard ratio: 0.17 [95% CI: 0.000–0.950]). Addition of estimates of renal function did not significantly change the Chi-square of the model. Semi-quantitative 123 I-MIBG myocardial parameters are independent of estimates of renal function. In addition, cardiac sympathetic innervation assessed by 123 I-MIBG scintigraphy seems to be superior to renal function in the prediction of cardiac death in CHF patients.
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