Key result
Novel biomarker-echo algorithm identifies ATTR V122I amyloidosis with ~0.97 AUC.
Why the study?
Transthyretin cardiac amyloidosis (ATTR) is an underrecognized cause of heart failure in older African American individuals due to diagnostic difficulties, particularly for the V122I TTR gene variant.
Does serum RBP4 concentration and a derived clinical prediction model accurately discriminate ATTR V122I amyloidosis from non-amyloid heart failure in elderly African American patients?
Case-Control (n=111)
Blinded assessors
No
Does serum RBP4 concentration and a derived clinical prediction model accurately discriminate ATTR V122I amyloidosis from non-amyloid heart failure in elderly African American patients?
Effect estimate: AUC 0.97 (95% CI 0.93-1.00)
Serum RBP4 and a novel clinical algorithm accurately discriminated ATTR V122I amyloidosis from non-amyloid heart failure in elderly African American patients, demonstrating potential as a screening tool.
May support noninvasive ATTR V122I screening in elderly African American HF patients; leaves open prospective validation before practice change.
Importance: Transthyretin cardiac amyloidosis (ATTR) is an underrecognized cause of heart failure (HF) in older individuals, owing in part to difficulty in diagnosis. ATTR can result from substitution of valine for isoleucine at codon 122 of the transthyretin (TTR) gene (V122I), present in 3.43% of African American individuals. Objective: To examine whether serum retinol-binding protein 4 (RBP4), an endogenous TTR ligand, could be used as a diagnostic test for ATTR V122I amyloidosis. Design, Setting, and Participants: In this combined prospective and retrospective cohort study performed at a tertiary care referral center, 50 African American patients 60 years or older with nonamyloid HF and cardiac wall thickening prospectively genotyped from September 1, 2014, through December 31, 2015, and a comparator cohort of 25 patients with biopsy-proven ATTR V122I amyloidosis recruited from September 1, 2009, through November 31, 2014, comprised the development cohort. Twenty-seven African American patients and 9 patients with ATTR V122I amyloidosis comprised the validation cohort. Main Outcomes and Measures: Circulating RBP4, TTR, B-type natriuretic peptide (BNP), and troponin I (TnI) concentrations and electrocardiographic, echocardiographic, 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, sex, and BNP and TnI concentrations were similar between the 25 patients with ATTR V122I amyloidosis (mean [SD] age, 72.2 [7.4] years; 18 male [72%]) and the 50 controls (mean [SD] age, 69.2 [5.7] years; 31 male [62%]). Serum RBP4 concentration was lower in patients with ATTR V122I amyloidosis compared with nonamyloid controls (31.5 vs 49.4 µg/mL, P < .001), and the difference persisted after controlling for potential confounding variables. Left ventricular ejection fraction was lower in patients with ATTR V122I amyloidosis (mean [SD], 40% [14%] vs 57% [14%], P < .001), whereas interventricular septal diameter was higher (mean [SD], 16 [3] vs 14 [2] mm, P < .001). The ROC analysis identified RBP4 as a sensitive identifier of ATTR V122I amyloidosis (area under the curve [AUC] = 0.78; 95% CI, 0.67-0.88). A clinical prediction algorithm composed of RBP4, TTR, left ventricular ejection fraction, interventricular septal diameter, mean limb lead QRS voltage, and grade 3 diastolic dysfunction yielded excellent discriminatory capacity for ATTR V122I amyloidosis (AUC = 0.97; 95% CI, 0.93-1.00), whereas a 4-parameter model, including RBP4 concentration, retained excellent discrimination (AUC = 0.92; 95% CI, 0.86-0.99). The models maintained excellent discrimination in the validation cohort. Conclusions and Relevance: A prediction model using circulating RBP4 concentration and readily available clinical parameters accurately discriminated ATTR V122I amyloidosis from nonamyloid HF in a case-matched cohort. This clinical algorithm may be useful for identification of ATTR V122I amyloidosis in elderly African American patients with HF.
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Arvanitis et al. (2017) conducted a case-control in Heart failure with suspected ATTR V122I amyloidosis (n=111). Serum RBP4 concentration and a 6-parameter clinical prediction model vs. Non-amyloid heart failure patients was evaluated on Discriminatory capacity of the clinical prediction algorithm for ATTR V122I amyloidosis (Area Under the Curve) (AUC 0.97, 95% CI 0.93-1.00). A clinical prediction algorithm incorporating serum RBP4, TTR, and echocardiographic parameters yielded excellent discriminatory capacity for identifying ATTR V122I amyloidosis with an AUC of 0.97.
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