- Open Access
The patient journey toward a diagnosis of hereditary transthyretin (ATTRv) amyloidosis
Orphanet Journal of Rare Diseases volume 16, Article number: 25 (2021)
Despite emerging treatments for hereditary transthyretin (ATTRv) amyloidosis, the disease is often misdiagnosed, with reported diagnostic delays of up to several years. Knowledge of the patient journey leading up to diagnosis may help to promote earlier intervention. The study’s objective was to examine patient clinical characteristics and healthcare utilization prior to ATTRv amyloidosis diagnosis.
Patients ≥ 18 years and newly diagnosed with ATTRv amyloidosis identified in IBM® MarketScan® Commercial and Medicare Supplemental data using a claims-based algorithm as follows: diagnosis required ≥ 1 medical claim with relevant amyloidosis diagnosis code (ICD-10-CM: E85.0-.4, E85.89, E85.9; excludes light chain and wild type) during identification (ID) period (1/1/2016–12/31/2017), and ≥ 1 occurrence of qualifying criteria during 2011–2017: ≥ 15 days diflunisal use without > 30-day gap, liver transplant, or claim with specific codes E85.1 or E85.2. The index date was defined as the date of first claim with amyloidosis diagnosis code in ID period. Patients had continuous enrollment ≥ 5 years pre-index date (look-back period). Occurrence of selected comorbid conditions and symptoms and healthcare utilization (testing, emergency department visits and hospitalization) measured during the look-back period; demographics, physician specialty, and Charlson comorbidity index (CCI) measured 1 year pre-index. Patients with an ICD-9/10 amyloidosis code during the look-back period were excluded. An ATTRv-free reference cohort was created from a random sample of enrollees who lacked any diagnosis of amyloidosis and matched 3:1 to ATTRv patients on age, gender, and region to provide reference values; same index and enrollment requirement as match.
For the 141 qualifying patients with ATTRv and 423 matched controls, mean (standard deviation) age was 62.5 (14.2) years and 53.9% were female. Mean CCI for ATTRv cohort was 2.7 (3.0) versus 1.1 (1.9) among controls. Selected comorbidities, testing, visits, and hospitalization were common among patients with ATTRv during the look-back period with higher rates versus controls.
Patients with ATTRv amyloidosis experience multiple neurological, cardiovascular, and other clinical manifestations, testing, and hospitalization prior to diagnosis. Occurrence of potential markers of illness is most common in the year before diagnosis.
Hereditary transthyretin (ATTRv) amyloidosis is a rare, progressive, multisystemic, and fatal form of amyloidosis caused by extracellular deposition of transthyretin amyloid fibrils primarily synthesized by the liver [1, 2]. The United States (US) prevalence of ATTRv amyloidosis with polyneuropathy has been reported to range from 2488 to 6400 patients [3, 4]. However, an estimated prevalence of 3–4% among African Americans has also been reported primarily presenting with signs and symptoms of cardiomyopathy [5, 6]; a recent long-term population-based study of Val122Ile carriers report clinically penetrant disease of approximately 20% suggesting about 25,000 affected individuals in the US . Prevalence estimates are likely underestimated due to diagnostic uncertainty [1, 8, 9].
Symptoms of ATTRv amyloidosis can impact a variety of organ and body systems, including ocular, musculoskeletal, gastrointestinal (GI), and cardiac impairment. Variability in symptom manifestation, along with the lack of disease awareness amongst healthcare professionals, can lead to misdiagnoses. For example, polyneuropathy involvement may be mistakenly attributed to other neuropathic conditions, rather than ATTRv amyloidosis, leading to multiple misdiagnoses [1, 10, 11]. Reports of misdiagnoses range from 32 to 74% of patients with ATTRv amyloidosis, with 18% having received multiple misdiagnoses [12,13,14,15,16]. Time from symptom onset to ATTRv amyloidosis diagnosis is often 3 years or more [17,18,19]. Strategies for earlier identification include tissue biopsy and cardiac imaging; however, diagnostic delay is still common and can lead to poorer outcomes and greater disease burden [1, 10, 11, 17, 20, 21]. If untreated, death occurs typically 3–15 years after clinical presentation . Early intervention is also key for effective treatment as the aim is to prevent additional amyloid deposition [10, 11, 22, 23]. Liver transplant was standard of care until recently, when TTR stabilizers and gene silencers entered the market [10, 22]. Several novel pharmacological options, including RNA interference therapy (e.g., patisiran), and antisense oligonucleotides (e.g., inotersen) have shown efficacy in treating the early stages of ATTRv amyloidosis with polyneuropathy [10, 11, 23].
While limited research exists about the patient journey prior to diagnosis for other forms of amyloidosis, such as light chain (AL) and wild-type amyloidosis [24,25,26,27], we identified no real-world studies in patients with ATTRv amyloidosis. The aim of this study was to examine the occurrence and timing of patients’ clinical presentation and healthcare utilization prior to diagnosis of ATTRv amyloidosis in the US.
This study was a retrospective claims analysis of IBM® MarketScan® Commercial and Medicare Supplemental Databases.Footnote 1 The MarketScan databases represent health services of more than 41.1 million employees, dependents, and retirees in the US with primary or Medicare supplemental coverage through privately insured fee-for-service, point-of-service, or capitated health plans. The databases include de-identified enrollment information and adjudicated insurance claims with information on healthcare utilization, including inpatient and outpatient services and prescription drug dispensing collected from employers and health plans who have agreed to be data contributors [28, 29]. Each individual in the database is assigned a unique enrollee identifier, created by encrypting information provided by data contributors. These databases are designed to address the requirements of the Health Insurance Portability and Accountability Act of 1996 (HIPAA); contain none of the data elements prohibited by HIPAA for such data sets; and have also gone through a third party statistical analysis to verify that they meet HIPAA requirements for fully de-identified data sets . Thus, institutional review board approval was not required because subjects in this database cannot be identified. Meeting these conditions makes this research exempt from the requirements of 45 CFR 46.101 under the Department of Health and Human Services .
Adult patients, at least 18 years old, who were newly diagnosed with ATTRv amyloidosis were identified by the presence of at least one medical claim (inpatient or outpatient) for amyloidosis, except light chain or wild type, in any diagnosis field (International Classification of Diseases, 10th Revision, Clinical Modification [ICD-10-CM]: E85.0, E85.1, E85.2, E85.3, E85.4, E85.89, E85.9) during the identification (ID) period (01/01/2016–12/31/2017); and either (1) use of diflunisal for at least 15 days or (2) liver transplant during the study period (01/01/2011–12/31/2017). The duration of diflunisal use was selected to eliminate use in the treatment of short-term pain. Patients with E85.1 or E85.2, the most specific codes for hereditary forms of amyloidosis, did not require an additional qualifier. Patients were excluded if not continuously enrolled in a health plan for at least 5 years prior to the index (look-back period). Additionally, to ensure patients were newly diagnosed, patients were excluded if they had an ICD-9-CM (i.e., 277.30, 277.31, and 277.39) or ICD-10-CM code for amyloidosis during the look-back period. The index date was the first diagnosis of amyloidosis in the ID period (Fig. 1, Table 1).
To serve as a reference group, an ATTRv amyloidosis-free control group was derived from a random sample of enrollees who lacked any diagnosis of amyloidosis during the study period and matched 3:1 to patients with ATTRv amyloidosis based on age, gender, and region. The amyloidosis-free cohort had the same index and health plan enrollment requirement as matched patients with ATTRv amyloidosis.
In each pre-index year during the 5-year look-back period, the occurrence of selected comorbid conditions and symptoms, which can also manifest as complications of ATTRv amyloidosis, and healthcare utilization (i.e., diagnostic testing [blood/urine testing, pyrophosphate imaging, cardiac magnetic resonance imaging, echocardiogram, and tissue biopsy or genetic testing], emergency department [ED] visits and hospitalizations) were identified using ICD diagnosis and procedure codes, current procedural (CPT) codes, and medical claims. Baseline (1 year prior to the index date) variables were also identified for patient demographic and clinical characteristics, such as age, gender, region, insurance, Charlson comorbidity index (CCI) as a proxy measure for underlying health status and risk of mortality [31, 32], and physician specialty. The CCI is a method of categorizing comorbidities of patients based on the ICD diagnosis codes found in administrative data [31, 32].
Descriptive statistics were generated for pre-index measures (first or any occurrence) during each year of the look-back period. Means and standard deviations (SD) were used to summarize continuous variables; and relative frequencies and percentages were used to summarize categorical variables. Cumulative probability curves were used to summarize the successive probability of occurrence of selected comorbidities and testing during the look-back period. To compare patients with ATTRv amyloidosis to patients free of the disease, t test and Chi-square test were conducted for continuous variables and categorical variables, respectively. All data transformations and statistical analyses were performed using SAS© version 9.4.
Of the 6115 US patients identified with an amyloidosis claim, 302 had an additional qualifier for ATTRv amyloidosis. After applying further criteria, the final sample included 141 patients with newly diagnosed ATTRv amyloidosis and 423 matched controls (Table 1).
The mean (SD) age at diagnosis across patients in the study was 62.5 (14.2) years, with the majority (76%) of patients having a diagnosis at age 55 years or older; 53.9% were female.
Patients with ATTRv amyloidosis presented with considerable comorbidity burden prior to diagnosis, with a mean (SD) CCI of 2.7 (3.0) and 5.1 (2.7) chronic conditions compared to a CCI of 1.1 (1.9) and 3.2 (2.3) chronic conditions for matched controls (p < 0.001). Primary care providers were the most common physicians seen by patients with ATTRv amyloidosis in the year prior to diagnosis (46.1% vs. 54.4% for matched controls); followed by neurologists (4.3% vs. 0.5%), gastroenterologists (4.3% vs. 1.4%), cardiologist (3.5% vs. 2.4%), rheumatologist (3.5% vs. 1.4%), and dermatologists (2.8% vs. 3.8%) (p = 0.018; Table 2).
During the 5-year look-back period, the occurrence of comorbid conditions or symptoms was common among patients with ATTRv amyloidosis and more frequent relative to matched controls. Dyspnea was the most common condition, occurring in 49.6% of patients with ATTRv amyloidosis and 25.8% of matched controls (p < 0.001), followed by diabetes, nausea/vomiting, neuropathy, constipation, and congestive heart failure occurring in more than 20% of patients with ATTRv (Table 3). For patients with ATTRv amyloidosis, the first observed occurrence of nearly all comorbidities (except ocular conditions) was observed in each of the 5 look-back years. For certain conditions, such as neuropathy, congestive heart failure, hypertrophic cardiomyopathy, ventricular hypertrophy, constipation, weight loss, hypotension, and renal failure, the first observed occurrence appeared to be highest in the year prior to diagnosis, following lower, and sometimes, gradually increasing frequencies in the years prior. For matched controls, the first occurrence of the selected comorbidities appeared evenly distributed across the 5 look-back years without a rise in the most recent year (Table 3).
The occurrence of the selected diagnostic testing was also more frequent among patients with ATTRv amyloidosis versus matched controls in the 5 years leading up to diagnosis. Echocardiogram (56.7% vs. 27.0%; p < 0.001), followed by tissue biopsy or genetic testing (34.8% vs. 20.8%; p < 0.001) and blood/urine testing (34.8% vs. 9.5%; p < 0.001), was the most common in both groups, while cardiac magnetic resonance imaging (7.1% vs. 0.2%; p < 0.001) and pyrophosphate imaging (2.1% vs. 0.0%; p = 0.003) rates were low in both groups (Table 4).
The occurrence of ED visits and hospitalization was also much more common among patients with ATTRv amyloidosis relative to controls. Nearly half (47.5%) of patients with ATTRv amyloidosis had a hospitalization in the 5 years prior to diagnosis (matched controls, 24.3%); and 60.3% of patients with ATTRv amyloidosis had an ED visit in the 5 years before diagnosis versus 47.0% of matched controls (results not shown in table). For patients with ATTRv amyloidosis, ED visits and hospitalizations (first or any occurrence) increased steadily in each look-back year until diagnosis (from 11.3 to 21.3% hospitalizations; from 26.2 to 34.8% ED visits) (results not shown in table).
Cumulative probability plots (Figs. 2, 3) show consistent results for patients with ATTRv amyloidosis with the first occurrence of comorbidities and selected diagnostic testing often being early in the 5-year look-back period prior to diagnosis.
In this retrospective analysis using US commercial and Medicare supplemental insurance claims data, we found that patients with ATTRv amyloidosis experienced significant comorbidity burden and healthcare utilization in the 5 years prior to diagnosis. All conditions and symptoms were higher among patients with ATTRv amyloidosis compared to matched controls without the disease, suggesting that comorbidities may be associated with the condition. This difference was observed in each of the 5 look-back years prior to diagnosis, suggesting manifestation of ATTRv amyloidosis may go back several years before a diagnosis is made.
In addition, selected diagnostic testing and acute care (i.e., ED visits, hospitalizations) were also more common in the 5 years prior to diagnosis for patients with ATTRv amyloidosis compared to controls. Utilization of cardiac imaging, biopsy or genetic testing, and blood/urine testing was higher in each of the look-back years relative to controls. The proportions of patients with ED visits and hospitalization during the 5-year look-back period were significantly higher among those with ATTRv amyloidosis compared to controls, with hospitalization nearly doubled.
This study provides evidence of the clinical manifestation of ATTRv amyloidosis and associated healthcare utilization up to several years before a diagnosis of ATTRv in the US. The early presence of these potential markers of disease may point to delays in the diagnosis of the condition. In addition, the presence of neuropathic and cardiac symptoms may suggest the development of polyneuropathy and cardiomyopathy, respectively, which are serious manifestations of the disease. The identification and recognition of common markers of early disease could prompt patients’ screening and, in turn, accelerate early diagnosis and treatment.
This real-world study adds to the limited literature on the ATTRv amyloidosis patient journey through examining the clinical characteristics and healthcare utilization in the years leading up to a diagnosis of ATTRv amyloidosis. McCausland et al.  examined the diagnostic journey for patients with AL amyloidosis using interview and survey data. While this is a different type of amyloidosis, the authors found that diagnostic delay was common due to variability in initial symptom manifestations, as with ATTRv amyloidosis, leading to potential misdiagnoses . In a retrospective chart review, Bishop et al.  found that certain factors, including having ATTR amyloidosis, predicted delayed diagnosis of cardiac amyloidosis. They also reported that it is not uncommon for patients to experience long-standing cardiac symptoms with without an amyloidosis diagnosis, and that a delay of more than 2 years resulted in increased disease burden and increased evidence of myocardial injury and failure .
In addition, we observed that the occurrence of most clinical manifestations appeared to be highest in the year prior to diagnosis. The rise in occurrence of ED visits and hospitalizations with each year over the 5-year look-back period, suggests an increased need for acute care prior to diagnosis of ATTRv.
This study had several limitations. First, our approach to identifying patients with ATTRv amyloidosis has not been validated using medical records; however, the majority (92%) of patients were identified with qualifying diagnoses codes for hereditary amyloidosis (E85.1 or E85.2), increasing our confidence that the correct population was identified. The 15-day requirement for diflunisal use was chosen to exclude short-term pain use; and while the use of liver transplant could have captured patients without the disease, only six patients were included in the analysis based on this qualifier (Table 1). Second, as this study examined data during the 5 years prior to diagnosis, we may have misclassified existing comorbidities or complications as being first observed during the 5-year look-back period. Third, miscoding in the claims data could have led to an inaccurate estimation of the frequency of comorbidities, complications, and health-services utilization. For example, the prevalence of carpal tunnel in the ATTRv amyloidosis cohort was lower than that reported in previous literature [17, 24]. Fourth, while mutation type is known to impact clinical manifestations (e.g., neurologic, cardiac, GI), the potential effect of genotype on the frequency of comorbidities, complications and services utilization could not be examined in this study as genotype information is not available in the source claims data. Lastly, results may not be generalizable to patients without continuous enrollment in a healthcare plan, including those without commercial coverage.
Patients with ATTRv amyloidosis experience multiple neurological, cardiovascular, and other clinical manifestations, testing, and hospitalization prior to diagnosis. Moreover, many patients with ATTRv amyloidosis appear to have manifestations of the disease several months or years before diagnosis, pointing to opportunities for earlier identification. Improved understanding of the patient journey before a diagnosis of ATTRv amyloidosis may accelerate clinical recognition of the disease and lead to early diagnosis.
Availability of data and materials
The datasets generated during and/or analyzed during the current study are not publicly available as the MarketScan data were used under license for the current study, but are available from the authors upon reasonable request and with permission of IBM.
MarketScan is a trademark of IBM Corporation in the United States and other countries.
Gertz MA. Hereditary ATTR amyloidosis: burden of illness and diagnostic challenges. Am J Manag Care. 2017;23(7 Suppl):S107–12.
Ihse E, Ybo A, Suhr O, Lindqvist P, Backman C, Westermark P. Amyloid fibril composition is related to the phenotype of hereditary transthyretin V30M amyloidosis. J Pathol. 2008;216(2):253–61.
Schmidt HH, Waddington-Cruz M, Botteman MF, Carter JA, Chopra AS, Hopps M, et al. Estimating the global prevalence of transthyretin familial amyloid polyneuropathy. Muscle Nerve. 2018;57(5):829–37.
Coelho T, Ericzon B, Falk R, Grogan D, Ikeda SI, Maurer M, et al. A Physician’s guide to transthyretin amyloidosis. Clarkston: Amyloidosis Foundation; 2008. p. 1–16.
Jacobson DR, Alexander AA, Tagoe C, Buxbaum JN. Prevalence of the amyloidogenic transthyretin (TTR) V122I allele in 14 333 African–Americans. Amyloid. 2015;22(3):171–4.
Maurer MS, Hanna M, Grogan M, Dispenzieri A, Witteles R, Drachman B, et al. Genotype and phenotype of transthyretin cardiac amyloidosis. J Am Coll Cardiol. 2016;68(2):161–72.
Quarta C, Longhi S, Perlini S, Milandri A, Del Corso F, Perfetto F, et al. Hereditary transthyretin-related amyloidosis with exclusively cardiac phenotype: disease profile and differential diagnosis with hypertrophic cardiomyopathy and senile systemic amyloidosis. Adv Mang Cardiomyopathies Unusual Faces Ischaem. 2012;2296:365.
Berk JL, Suhr OB, Obici L, Sekijima Y, Zeldenrust SR, Yamashita T, et al. Repurposing diflunisal for familial amyloid polyneuropathy: a randomized clinical trial. JAMA. 2013;310(24):2658–67.
Hawkins PN, Ando Y, Dispenzeri A, Gonzalez-Duarte A, Adams D, Suhr OB. Evolving landscape in the management of transthyretin amyloidosis. Ann Med. 2015;47(8):625–38.
Ando Y, Coelho T, Berk JL, Cruz MW, Ericzon B-G, Ikeda S, et al. Guideline of transthyretin-related hereditary amyloidosis for clinicians. Orphanet J Rare Dis. 2013;8(1):31.
Adams D, Suhr OB, Hund E, Obici L, Tournev I, Campistol JM, et al. First European consensus for diagnosis, management, and treatment of transthyretin familial amyloid polyneuropathy. Curr Opin Neurol. 2016;29:S14-26.
Adams D, Cauquil C, Labeyrie C. Familial amyloid polyneuropathy. Curr Opin Neurol. 2017;30(5):481–9.
Adams D, Lozeron P, Theaudin M, Mincheva Z, Cauquil C, Adam C, et al. Regional difference and similarity of familial amyloidosis with polyneuropathy in France. Amyloid. 2012;19(sup1):61–4.
Cortese A, Vegezzi E, Lozza A, Alfonsi E, Montini A, Moglia A, et al. Diagnostic challenges in hereditary transthyretin amyloidosis with polyneuropathy: avoiding misdiagnosis of a treatable hereditary neuropathy. J Neurol Neurosurg Psychiatry. 2017;88(5):457.
Théaudin M, Lozeron P, Algalarrondo V, Lacroix C, Cauquil C, Labeyrie C, et al. Upper limb onset of hereditary transthyretin amyloidosis is common in non-endemic areas. Eur J Neurol. 2019;26(3):497.
Adams D, Koike H, Slama M, Coelho T. Hereditary transthyretin amyloidosis: a model of medical progress for a fatal disease. Nat Rev Neurol. 2019;15(7):387–404.
Kapoor M, Rossor AM, Laura M, Reilly MM. Clinical presentation, diagnosis and treatment of TTR amyloidosis. JND. 2019;6(2):189–99.
Allen JA. New urgency for treating hereditary ATTR amyloidosis with polyneuropathy. Neurology Advisor. 2019. https://www.neurologyadvisor.com/topics/neuropathic-pain/new-urgency-for-treating-hereditary-attr-amyloidosis-with-polyneuropathy/. Accessed 19 Nov 2019.
Benson MD, Waddington-Cruz M, Berk JL, Polydefkis M, Dyck PJ, Wang AK, et al. Inotersen treatment for patients with hereditary transthyretin amyloidosis. N Engl J Med. 2018;379(1):22–31.
Conceição I, Damy T, Romero M, Galán L, Attarian S, Luigetti M, et al. Early diagnosis of ATTR amyloidosis through targeted follow-up of identified carriers of TTR gene mutations*. Amyloid. 2019;26(1):3–9.
Azebedo M. Familial amyloid polyneuropathy diagnosis. FAP NEWS TODAY. 2013. https://fapnewstoday.com/familial-amyloid-polyneuropathy-diagnosis/. Accessed 19 Nov 2019.
Luigetti M, Romano A, Di Paolantonio A, Bisogni G, Sabatelli M. Diagnosis and treatment of hereditary transthyretin amyloidosis (hATTR) polyneuropathy: current perspectives on improving patient care. Ther Clin Risk Manag. 2020;16:109–23.
Coelho T, Maia LF, Martins da Silva A, Waddington Cruz M, Planté-Bordeneuve V, Lozeron P, et al. Tafamidis for transthyretin familial amyloid polyneuropathy: a randomized, controlled trial. Neurology. 2012;79(8):785–92.
Bishop E, Brown EE, Fajardo J, Barouch LA, Judge DP, Halushka MK. Seven factors predict a delayed diagnosis of cardiac amyloidosis. Amyloid. 2018;25(3):174–9.
Madan S, Dispenzieri A, Lacy MQ, Buadi F, Hayman SR, Zeldenrust SR, et al. Clinical features and treatment response of light chain (AL) amyloidosis diagnosed in patients with previous diagnosis of multiple myeloma. Mayo Clin Proc. 2010;85(3):232–8.
Grogan M, Dispenzieri A, Gertz MA. Light-chain cardiac amyloidosis: strategies to promote early diagnosis and cardiac response. Heart. 2017;103(14):1065–72.
McCausland KL, White MK, Guthrie SD, Quock T, Finkel M, Lousada I, et al. Light chain (AL) amyloidosis: the journey to diagnosis. Patient. 2018;11(2):207–16.
IBM Watson HealthTM. IBM MarketScan research databases for health services researchers. Somers, NY: IBM Corporation. 2019. https://www.ibm.com/downloads/cas/6KNYVVQ2. Accessed 15 Oct 2019.
IBM Watson HealthTM. IBM MarketScan Research Databases for life science researchers. Somers: IBM Corporation; 2020.
Department of Health and Human Services. Protection of human subjects. 45. Sect. CFR. https://www.govinfo.gov/app/details/CFR-2005-title45-vol1/CFR-2005-title45-vol1-part46. Accessed 23 Mar 2020.
Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.
Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–9.
The authors would like to acknowledge Duncan Brown for his assistance in the review and finalization of the manuscript and the research presented.
Funding for this study and publication-related fees was received from Akcea Therapeutics. All authors had full access to all of the data in this study and take complete responsibility for the integrity of the data and accuracy of the data analysis.
Ethics approval and consent to participate
Consent for publication
MVL and MP are employees of Akcea Therapeutics. SRR, EC, and MHT are employees of Partnership Health Analytic Research, LLC, which was paid by Akcea to perform the research described in this manuscript. SRR, EC, and MHT report other from AbbVie, other from ASPC, other from Amgen, other from AstraZeneca, other from BMS, other from Boston Scientific Corporation, other from Celgene, other from Eisai, other from Ethicon, other from GRAIL, other from Helsinn, other from Illumina, other from Innovation and Value Initiative, other from Ionis, other from Jazz, other from Kite, other from Novartis, other from Otsuka, other from Pathnostics, other from PhRMA, other from Prothena, other from Sage, other from Verde Technologies, other from Genentech, Inc., other from Greenwich Biosciences, Inc., other from Mirum Pharmaceuticals, Inc., grants and other from Dompe US, Inc., other from Sanofi US Services, Inc., outside the submitted work.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Vera-Llonch, M., Reddy, S.R., Chang, E. et al. The patient journey toward a diagnosis of hereditary transthyretin (ATTRv) amyloidosis. Orphanet J Rare Dis 16, 25 (2021). https://doi.org/10.1186/s13023-020-01623-1
- Healthcare utilization
- Patterns of care