Factors affecting the accuracy of amyloidosis identification and referral to a specialty centre
Andrew Staron1, Lisa M Mendelson1, Tracy Joshi1
1Amyloidosis Center, Boston University Chobanian & Avedisian School of Medicine and Boston Medical Center, Boston, MA, USA.
Objective:
Diagnostic algorithms for amyloidosis have evolved over the past decade, particularly with the incorporation of imaging-based techniques to detect amyloid cardiomyopathy. We sought to identify the key sources of amyloidosis misidentification in the community, which lead to false positive referrals to a tertiary centre.
Methods:
We conducted a retrospective review of all referrals to the Amyloidosis Centre from 2010 to 2021 and identified cases lacking amyloid pathology upon final adjudication after extensive assessment at the centre. Factors for false positive referrals were examined.
Results:
Among 2409 referrals of suspected amyloidosis, 147 (6%) demonstrated an absence of amyloid pathology. This percentage increased over time from 4% in 2010 to 13% in 2021. False positive referrals consisted of more people of colour. The most frequent source of inaccuracy was the erroneous staining of tissue specimens with Congo red, followed by suggestive findings on cardiac imaging. In recent years, misinterpretation of 99mtechnetium- pyrophosphate scintigraphy emerged as a major source of false positive referrals.
Conclusion:
Recognising these potential sources of diagnostic error in the workup of amyloidosis can improve patient care. Referral to a centre of excellence for amyloidosis helps confirm an accurate diagnosis and avoid mistreatment.
