Importance
Transthyretin amyloid cardiomyopathy (ATTR) is an under-recognized cause of heart failure (HF) in the elderly, owing in part to difficulty in diagnosis. ATTR can result from mutant TTR protein with one of the most common mutations in the United States, V122I, present in 3.43% of African Americans.
Objective
To determine whether serum retinol-binding protein 4 (RBP4), an endogenous TTR ligand, could be used as a diagnostic test for ATTR V122I amyloidosis.
Design
Combined prospective and retrospective cohort study
Setting
Tertiary care referral center
Participants
Fifty prospectively genotyped African American patients over age 60 years with non-amyloid HF and cardiac wall thickening, and a comparator cohort of biopsy proven ATTR V122I amyloidosis patients (n=25) comprised the development cohort. Twenty-seven prospectively genotyped African American patients and 9 ATTR V122I amyloidosis patients comprised the validation cohort.
Main Outcomes and Measures
Circulating RBP4, TTR, B-type natriuretic peptide (BNP) and troponin I (TnI) concentrations, electrocardiography (ECG), echocardiography, and clinical characteristics were assessed in all patients. Receiver operating characteristic (ROC) analysis was performed to identify optimal thresholds for ATTR V122I amyloidosis identification. A clinical prediction rule was developed using penalized logistic regression, evaluated using ROC analysis and validated in an independent cohort of cases and controls.
Results
Age, gender, BNP and TnI were similar between ATTR V122I amyloidosis patients and controls. Serum RBP4 concentration was lower in patients with ATTR V122I amyloidosis compared to non-amyloid controls (31.5 vs. 49.4 ug/ml, p < 0.001) and the difference persisted after controlling for potential confounding parameters. Left ventricular ejection fraction (LVEF) was lower in ATTR V122I amyloidosis (40% vs. 57%, p<0.001), while interventricular septal diameter (IVSd) was higher (16 vs. 14 mm, p<0.001). ROC analysis identified RBP4 as a sensitive identifier of ATTR V122I amyloidosis (AUC 0.78). A clinical prediction algorithm comprised of RBP4, TTR, LVEF, IVSd, mean limb lead ECG voltage and grade 3 diastolic dysfunction yielded excellent discriminatory capacity for ATTR V122I amyloidosis (AUC 0.97), while a 4 parameter model including RBP4 concentration retained excellent discrimination (AUC 0.92). The models maintained excellent discrimination in the validation cohort.
Conclusions and Relevance
A prediction model employing circulating RBP4 concentration and readily available clinical parameters accurately discriminated ATTR V122I amyloid cardiomyopathy from non-amyloid HF in a case matched cohort. We propose that this clinical algorithm may be useful for identification of ATTR V122I amyloidosis in elderly, African American patients with heart failure.