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OPINION article

Front. Pharmacol., 24 November 2023
Sec. Drugs Outcomes Research and Policies
This article is part of the Research Topic Women in Drugs Outcomes Research and Policies: 2023 View all 11 articles

Leveraging stories of cardiac amyloidosis patients of African ancestry or descent to support patient-derived data elements for efficient diagnosis and treatment

Rachele M. Hendricks-Sturrup,,
Rachele M. Hendricks-Sturrup1,2,3*Lauren M. EdgarLauren M. Edgar4Christine Y. Lu,,Christine Y. Lu2,5,6
  • 1National Alliance Against Disparities in Patient Health, Woodbridge, VA, United States
  • 2Department of Population Medicine, Harvard Pilgrim Healthcare Institute and Harvard Medical School, Boston, MA, United States
  • 3Duke-Margolis Center for Health Policy, Washington, DC, United States
  • 4Southern Nevada Black Nurses Association, Las Vegas, NV, United States
  • 5School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
  • 6Kolling Institute, Faculty of Medicine and Health, The University of Sydney and the Northern Sydney Local Health District, Sydney, NSW, Australia

Introduction

Storytelling is a powerful tool that continuously drives knowledge development and sharing about the patient experience with managing hereditary diseases and comorbidities, including patient values and preferences, and medication adherence and persistence. Patient stories are often key to developing patient-reported outcomes (PROs) data that are specific to or reflective of a patient’s lived experience, most bothersome or frequent symptoms, and socioeconomic circumstances (Kwan et al., 2016; Boyd et al., 2023; Boyd et al., 2023). Thus, there is power in the potential to leverage patient stories to inform the development of new or refinement of existing PRO collection tools for more accurate and timely diagnosis and optimizing the management and treatment of rare diseases, which are often challenging to diagnose particularly among minority populations (e.g., Patient Reported Outcomes Measurement Information System [PROMIS®], United States [US] National Cancer Institute’s PRO-CTCAE, Transthyretin Amyloidosis—Quality of Life Questionnaire [ATTR-QOL], interviews, and focus groups; D’Souza et al., 2023; O’Connor, 2023). Below we discuss the potential benefits of incorporating patient stories into PRO instruments to screen and manage African, African American, and/or Afro-Caribbean (A/AA/AC) patients with suspected amyloidosis, a rare disease that occurs when a protein called amyloid builds up in organs (heart, kidneys, liver, spleen, digestive tract, and nervous system).

There are 18 different types of systemic forms of amyloidosis, as well as 22 localized forms. Two major forms of amyloidosis include but are not limited to immunoglobulin light chain (AL) and transthyretin amyloidosis (ATTR; Benson et al., 2020). Additional forms of amyloidosis beyond these two types are secondary, dialysis-related, hereditary (hATTR), organ-specific, insulin-related, or associated with a myriad of pathologies (Gorevic, 2023). Based on stories shared broadly to date, A/AA/AC patients with amyloidosis often experience a lengthy diagnostic odyssey following initial presence of clinical symptoms. Confusion among themselves, their families, and their healthcare providers often cause delays in diagnosis, misdiagnosis, and/or treatment. Such delays directly contribute to often-fatal outcomes observed. Therefore, all of these factors considered, the true prevalence of AL and ATTR amyloidosis, among other forms, across A/AA/AC populations is neither well-understood nor well-documented in the literature.

To help address this issue and better serve these populations and health systems they encounter, we highlight and discuss patient stories from A/AA/AC patients living with AL and ATTR amyloidosis. We also, 1) summarize the underlying disease etiology; 2) share A/AA/AC amyloidosis patient stories to inform or enrich PRO themes that may convey the important spectrum of the patient experience, from symptom onset, to diagnosis, to treatment and/or management; and 3) inform efforts toward the development of data elements, fields, and features within electronic health record systems that may better align with these patient experiences and stories.

Signs and symptoms of amyloidosis in A/AA/AC patients

Cardiac amyloidosis is caused by abnormal amyloid protein aggregate deposits that form insoluble plaques in the myocardium, leading to a progressive disorder that often results in restrictive cardiomyopathy (see Figure 1; Ruberg et al., 2019; Williams et al., 2022). Tetrameric thyroxine transport protein transthyretin (TTR) is a homotetrameric protein complex that is synthesized in and secreted by the human liver for retinol and vitamin A transfer within the circulatory system (Saelices and Cascio, 2015; Saelices and Johnson, 2015). The most common mutation associated with hATTR is the V122I (pV142I) allele, whereas a valine-to-isoleucine substitution at position 122 (TTR V122I; pV142I) in TTR-derived fibrils (Buxbaum and Ruberg, 2017). Thus, suspected cases of transthyretin amyloid cardiomyopathy (ATTR-CM) and hATTR among individuals of A/AA/AC descent must often include, in addition to the gold standard cardiac biopsy, molecular testing to confirm the presence or absence of a TTR mutation (Dungu, 2015).

FIGURE 1
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FIGURE 1. Development of hereditary transthyretin cardiac amyloidosis via TTR V122I (pV142I) allele mutation (Williams et al., 2022).

hATTR is a hereditary form of cardiac amyloidosis, versus the non-hereditary or wild-type form, that can be fatal, as ATTR accompanied by cardiomyopathy (i.e., ATTR-CM) and heart failure (i.e., fatal arrhythmias or complete heart blockage) are common (Jain and Zahra, 2023). hATTR diagnosis is often delayed, with a late diagnosis often translating into two to 3 years of remaining life expectancy (Jain and Zahra, 2023). Liver or consolidated heart and liver transplantation have been the main treatment for patients with changes caused by ATTR, including those with cardiovascular signs and symptoms. In addition, tafamidis treatment, among others (i.e., patisiran, vutrisiran, and inotersen), may increase the life expectancy of ATTR-CM patients by 4.19 years (Tran et al., 2020). Tafamidis (i.e., Vyndaqel) is presently regulated by the US Food and Drug Administration with clinical pharmacology and clinical study labeling sections, corresponding to TTR as its corresponding pharmacogenomic biomarker (Center for Drug Evaluation and Research, 2023).

ATTR-CM is an under-recognized cause of cardiac/heart weakness and failure among middle aged and geriatric adults. Moreover, ATTR-CM disproportionately affects individuals of A/AA/AC descent; in ∼3.4% of populations with ancestral origins from coastal west Africa and clinical signs of hATTR, a high frequency of the TTR V122I (pV142I) allele can be observed (Jacobson et al., 2016).

AL amyloidosis is the most common form of amyloidosis, whereas the immune system produces “light chains” or abnormal antibodies/immunoglobulins. In AL amyloidosis, light chains are deposited in major organs, such as the heart and nerves, thereby compromising their optimal function. AL amyloidosis is also associated multiple myeloma, a form of cancer that disproportionately affects A/AA/AC populations, lending AL amyloidosis symptoms as often treated in cancer centers (Kumar et al., 2017; Lee et al., 2021; Gorevic, 2023; AL (Primary) Amyloidosis, n.d.). However, the incidence of AL amyloidosis related multiple myeloma in A/AA/AC populations in the US remains unclear.

Because amyloidosis does not present as a single condition when phenotypes are observed among A/AA/AC patients, clinicians may erroneously steer towards clinical reasoning that supports diagnosis and treatment of a neurological disorder or cardiac and musculoskeletal manifestations/disorders (Nativi-Nicolau et al., 2022). In other instances, clinicians may rule signs and symptoms as idiopathic or of unknown cause (Nativi-Nicolau et al., 2022). Therefore, when seeking solutions to diagnose A/AA/AC patients more efficiently and effectively, it is necessary to acknowledge overall that 1) diagnosis can be difficult due to heterogeneity in phenotypes; and 2) clinical signs and clues of AL and ATTR amyloidosis among suspected A/AA/AC patients may differ from more generalized cases, warranting clinical suspicion and/or equipoise (Geographic Origins, Diagnosis and Treatment of Hereditary Amyloidosis - African Americans, 2023).

Leveraging A/AA/AC amyloidosis patient stories for better care

Prior work and A/AA/AC amyloidosis patient stories have highlighted important themes on which to build and that likely capture the range of lived experiences among populations managing genetic diseases and their comorbidities (National Black Nurses Association [NBNA], 2019; Hendricks-Sturrup, 2021; Brown, 2022; Genetic Origins, Diagnosis and Treatment of Hereditary Amyloidosis on African Americans, 2022; Baxton II, n.d.; Beckwith, n.d.; Foster, n.d.; Jackson-Webb, n.d.; Strickland, n.d.). These themes are as follows:

• Access to clinical, molecular diagnostic testing for TTR mutations, as lack of access to testing may hinder prior/initial authorization for pharmacogenomic treatment for health-compromised patients with hATTR (Blue Cross Blue Shield, 2019; Cigna, 2023; UnitedHealthcare, 2023).

• Diagnosed populations may lose life insurance coverage, especially if molecularly diagnosed (i.e., genetic testing) during late disease stages.

• Access to follow-up testing and/or care (i.e., tissue biopsy, echocardiogram, cardiac magnetic resonance imaging, radionuclide imaging, technetium pyrophosphate scan, etc.) (Blue Cross Blue Shield, 2019; Cigna, 2023; UnitedHealthcare, 2023).

• Lack of personal and family understanding of amyloidosis.

• Struggle to maintain and active lifestyle in later life.

• Clinical signs tend to include a mixture of carpal tunnel syndrome, arrhythmia, gastrointestinal issues, and common signs of heart failure.

• Underdiagnosis of the disease in African American populations results in late-stage diagnosis, contributing to poor outcomes and prognosis due to poor stabilization that is needed to seek and engage in preventive care.

• Chronic, acute, and prolonged stress, including general malaise, affects day-to-day life functioning and increases risk of mental illness (e.g., depression, anxiety, etc.).

• Fragmented, under-resourced, under-educated, and underprepared health systems and healthcare providers contribute to delayed diagnosis.

A/AA/AC nursing professionals, who often spend time at the bedside learning patients’ stories and experiences to document such information within electronic health records, and other health system stakeholders consider patient community stories as powerful resources to directly address health disparities through intentional data collection, use, and reporting (Hendricks-Sturrup, 2021; Hendricks-Sturrup et al., 2021; Evidation, n.d.). Moreover, A/AA/AC nursing professionals, in addition to caregivers of A/AA/AC patients with AL and ATTR amyloidosis, are well-positioned to inform the development of both objective and subjective PROs (i.e., PROMIS®, PRO-CTCAE, ATTR-QOL, interviews and focus groups) intended to capture the AL and ATTR A/AA/AC patient experience within the electronic health record. For example, PROMIS®, PRO-CTCAE, and ATTR-QOL do not currently contain domains focused on access to molecular testing, access to non-health insurance following testing, follow-up testing and/or care, concern about late-stage diagnosis and poor symptom stabilization, and experiences navigating complex health systems that contribute to delayed diagnosis. Therefore, it is imperative that such stakeholders learn from and disseminate these themes to encourage and support their integration into electronic PROs. Supplementary Table S1 provides two examples reported in recent literature of how PROs are currently used and embedded into electronic health records along with reported evidence of patient management and treatment outcomes.

Discussion

Consideration these themes across A/AA/AC amyloidosis patient stories is necessary to augment PRO instruments and collection processes that are typically used to understand quality of life, address diagnosis and treatment disparities, and reduce the likelihood of diagnostic odyssey among A/AA/AC patients with amyloidosis. Given that A/AA/AC patients with suspected amyloidosis may lack access to amyloidosis centers of excellence, the present themes herein should inform attempts to identify and properly resource and educate healthcare providers located outside of such institutions where A/AA/AC patient populations are prevalent (Nativi-Nicolau et al., 2021).

The themes above may also inform novel approaches intended to address diagnosis and treatment disparities among A/AA/AC patients with amyloidosis (Alexander et al., 2018; Obi et al., 2022). For instance, A/AA/AC amyloidosis patient stories collected and assessed using advanced computing technologies, such as artificial intelligence (i.e., natural language processing of unstructured patient story data and clinical notes, etc.), coupled with systematically documenting genetic and social determinant of health International Classification of Diseases (ICD)-10 Z codes, could be a promising strategy to address amyloidosis diagnosis and treatment disparities among A/AA/AC patients (Center for Medicare and Medicaid, 2023; Centers for Medicare and Medicaid, 2023). Specifically, leveraging artificial intelligence for the purpose of effectively and efficiently identifying and diagnosing A/AA/AC patients with suspected amyloidosis, based on distinct clinical and diagnostic clues, could be key to addressing health disparities more rapidly and efficiently (Geographic Origins, Diagnosis and Treatment of Hereditary Amyloidosis - African Americans, 2023).

A/AA/AC patients with suspected amyloidosis and their families, as well as healthcare providers, health researchers, and policymakers must learn from diagnosed A/AA/AC amyloidosis patient stories to facilitate more informed decision-making. As cardiovascular disease continues to be a leading cause of death overall and among A/AA/AC populations in the United States, targeted and sustained research funding and support to empower racial/ethnic minority patient stories across the data lifecycle should be a national priority to address health disparities (Data Across Sectors for Health [DASH], All In and National Alliance Against Disparities in Patient Health [NADPH], 2022; FastStats, 2023). Similar approaches to improve diagnostic efficiency and accuracy in A/AA/AC amyloidosis patients could be applied to shorten or minimize diagnostic odyssey among patients of other genetically-derived rare diseases, lending to stronger opportunities to provide timely and targeted treatment and monitor treatment outcomes.

Author contributions

RH-S: Conceptualization, Formal Analysis, Investigation, Methodology, Writing–original draft, Writing–review and editing, Resources. LE: Conceptualization, Formal Analysis, Investigation, Methodology, Writing–original draft, Writing–review and editing. CL: Conceptualization, Formal Analysis, Investigation, Methodology, Resources, Supervision, Writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. CL was supported in part by an Ebert Career Development Award at Harvard Pilgrim Health Care Institute and Harvard Medical School. RH-S was supported by a Thomas O. Pyle fellowship award at Harvard Pilgrim Health Care Institute and Harvard Medical School and currently receives current support under National Institute of Health award no. 1OT2OD032581 and 1OT2OD031925.

Acknowledgments

We would like to acknowledge Dr. Tracey Johnson-Glover at Touro University and the Southern Nevada Black Nurses Association for her thought leadership on and early contributions to this work.

Conflict of interest

CL reports receiving institutional funding to Harvard Pilgrim Healthcare Institute from Illumina Inc., for an unrelated research study and travel sponsorship from Illumina Inc., for a recent scientific meeting.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2023.1276396/full#supplementary-material

Supplementary Table S1 | Reported studies on how PROs can become embedded into electronic health records to generate evidence on patient outcomes.

References

Alexander, K. M., Orav, J., Singh, A., Jacob, S. A., Menon, A., Padera, R. F., et al. (2018). Geographic disparities in reported US amyloidosis mortality from 1979 to 2015: potential underdetection of cardiac amyloidosis. JAMA Cardiol. 3 (9), 865–870. Available at:. doi:10.1001/jamacardio.2018.2093

PubMed Abstract | CrossRef Full Text | Google Scholar

Baxton, E. (2022). Beyond imagination | amyloidosis foundation. Available at: https://www.amyloidosis.org/node/110 (Accessed: August 9, 2023).

Google Scholar

Beckwith, C., and Hereditary, ATTR (2020). Cece’s story, amyloidosis research consortium. Available at: https://arci.org/resource/4747/ (Accessed: August 9, 2023).

Google Scholar

Benson, M. D., Buxbaum, J. N., Eisenberg, D. S., Merlini, G., Saraiva, M. J. M., Sekijima, Y., et al. (2020). Amyloid nomenclature 2020: update and recommendations by the International Society of Amyloidosis (ISA) nomenclature committee. Amyloid 27 (4), 217–222. Available at:. doi:10.1080/13506129.2020.1835263

PubMed Abstract | CrossRef Full Text | Google Scholar

Blue Cross Blue Shield (2019). ‘Tafamidis prior authorization with quantity limit program summary’. Copyright prime therapeutics LLC. Available at: https://www.bluecrossmn.com/sites/default/files/DAM/2019-12/MN_PS_Tafamidis_PAQL_ProgSum_0919_s.pdf (Accessed August 9, 2023).

Google Scholar

Boyd, A. D., Gonzalez-Guarda, R., Lawrence, K., Patil, C. L., Ezenwa, M. O., O'Brien, E. C., et al. (2023). Equity and bias in electronic health records data. Contemp. Clin. Trials 130, 107238. Available at:. doi:10.1016/j.cct.2023.107238

PubMed Abstract | CrossRef Full Text | Google Scholar

Boyd, A. D., Gonzalez-Guarda, R., Lawrence, K., Patil, C. L., Ezenwa, M. O., O'Brien, E. C., et al. (2023). Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory. J. Am. Med. Inf. Assoc. 30, 1561–1566. ocad115. Available at:. doi:10.1093/jamia/ocad115

CrossRef Full Text | Google Scholar

Brown, S. M. (2022). NBA legend discusses rare heart disease that mostly affects african Americans | BlackPressUSA. Available at: https://blackpressusa.com/nba-legend-discusses-rare-heart-disease-that-mostly-affects-african-americans-2/ (Accessed August 9, 2023).

Google Scholar

Buxbaum, J. N., and Ruberg, F. L. (2017). Transthyretin V122I (pV142I)* cardiac amyloidosis: an age-dependent autosomal dominant cardiomyopathy too common to be overlooked as a cause of significant heart disease in elderly African Americans. Genet. Med. 19 (7), 733–742. Available at:. doi:10.1038/gim.2016.200

PubMed Abstract | CrossRef Full Text | Google Scholar

Cella, D., Garcia, S. F., Cahue, S., Smith, J. D., Yanez, B., Scholtens, D., et al. (2023). Implementation and evaluation of an expanded electronic health record-integrated bilingual electronic symptom management program across a multi-site Comprehensive Cancer Center: the NU IMPACT protocol. Contemp. Clin. Trials 128, 107171. Available at:. doi:10.1016/j.cct.2023.107171

PubMed Abstract | CrossRef Full Text | Google Scholar

Center for Drug Evaluation and Research (2023). ‘Table of pharmacogenomic biomarkers in Drug labeling’, FDA. Available at: https://www.fda.gov/drugs/science-and-research-drugs/table-pharmacogenomic-biomarkers-drug-labeling (Accessed: August 10, 2023).

Google Scholar

Center for Medicare and Medicaid (2023). ICD-10-CM official guidelines for coding and reporting FY 2023. Available at: https://www.cms.gov/files/document/fy-2023-icd-10-cm-coding-guidelines-updated-01/11/2023.pdf.

Google Scholar

Centers for Medicare and Medicaid (2023). USING Z CODES: the social determinants of health (SDOH) data journey to better outcomes. Available at: https://www.cms.gov/files/document/zcodes-infographic.pdf (Accessed August 9, 2023).

Google Scholar

Cigna (2023). Cigna national formulary coverage policy: PA amyloidosis – tafamidis products. Available at: https://static.cigna.com/assets/chcp/pdf/coveragePolicies/cnf/cnf_302_coveragepositioncriteria_amyloidosis_tafamidis_products_vyndaqel_vyndamax_pa.pdf (Accessed August 9, 2023).

Google Scholar

DASH All in and NADPH (2022) ‘people with lived experiences of inequity in data sharing projects. Available at: https://iphionline.org/wp-content/uploads/2022/08/All_In_National_Iventory_PWLEI_2022.pdf.

Google Scholar

D’Souza, A., Szabo, A., Akinola, I., Finkel, M., and Flynn, K. E. (2023). A cross-sectional study of patient-reported outcomes and symptom burden using PROMIS and PRO-CTCAE measures in light chain amyloidosis. Qual. Life Res. 32 (6), 1807–1817. Available at:. doi:10.1007/s11136-023-03354-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Dungu, J. N. (2015). Cardiac amyloid – an update. Available at: https://www.ecrjournal.com/articles/cardiac-amyloid-update (Accessed August 9, 2023).

Google Scholar

Evidation. The future of healthcare requires a direct connection to patients to better understand their lived experiences. STAT. Available at: https://www.statnews.com/sponsor/2020/08/12/the-future-of-healthcare-requires-a-direct-connection-to-patients-to-better-understand-their-lived-experiences/ (Accessed: August 9, 2023).

Google Scholar

FastStats (2023). Leading causes of death. Available at: https://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm (Accessed August 9, 2023).

Google Scholar

Foster, G. Amyloidosis: greg’s story, amyloidosis research consortium. Available at: https://arci.org/resource/4742/ (Accessed: August 9, 2023).

Google Scholar

Genetic Origins, Diagnosis (2022). Genetic origins, diagnosis and treatment of hereditary amyloidosis on african Americans. Available at: https://vimeo.com/704985572 (Accessed: August 9, 2023).

Google Scholar

Geographic (2023). Geographic origins, diagnosis and treatment of hereditary amyloidosis - african Americans. Available at: https://www.youtube.com/watch?v=QI634eKVD0s (Accessed: August 9, 2023).

Google Scholar

Gorevic, P. (2023). Overview of amyloidosis - UpToDate. Available at: https://www.uptodate.com/contents/overview-of-amyloidosis (Accessed August 9, 2023).

Google Scholar

Hendricks-Sturrup, R. (2021) Engendering equity in biomedical research by meeting communities where they are - bill of health. Available at: https://blog.petrieflom.law.harvard.edu/2021/08/20/equity-biomedical-research-community-engagement/,(Accessed: 9 August 2023).

Google Scholar

Hendricks-Sturrup, R. M., Edgar, L. M., Johnson-Glover, T., and Lu, C. Y. (2021). African American Nurses’ perspectives on genomic medicine research. AMA J. Ethics 23 (3), 240–251. Available at:. doi:10.1001/amajethics.2021.240

CrossRef Full Text | Google Scholar

Hendricks-Sturrup, R. M., Joseph, L., and Lu, C. Y. (2021). Patient-reported outcomes following genetic testing for familial hypercholesterolemia, breast and ovarian cancer syndrome, and lynch syndrome: a systematic review. J. Personalized Med. 11 (9), 850. Available at:. doi:10.3390/jpm11090850

CrossRef Full Text | Google Scholar

Jackson-Webb, A. 2022 Amyloidosis diagnosis | amyloidosis foundation. Available at: https://www.amyloidosis.org/node/98 (Accessed: August 9, 2023).

Google Scholar

Jacobson, D. R., Alexander, A. A., Tagoe, C., Garvey, W. T., Williams, S. M., Tishkoff, S., et al. (2016). The prevalence and distribution of the amyloidogenic transthyretin (TTR) V122I allele in Africa. Mol. Genet. Genomic Med. 4 (5), 548–556. Available at:. doi:10.1002/mgg3.231

PubMed Abstract | CrossRef Full Text | Google Scholar

Jain, A., and Zahra, F. (2023). Transthyretin amyloid cardiomyopathy (ATTR-CM)’, in StatPearls. Treasure island (FL): StatPearls publishing. Available at: http://www.ncbi.nlm.nih.gov/books/NBK574531/ (Accessed August 9, 2023).

Google Scholar

Kumar, S., Little, R., and Davis, C. (2017). Multiple myeloma awareness and african American disparities - NCI. Available at: https://www.cancer.gov/about-nci/organization/crchd/blog/2017/multiple-myeloma-disparities (Accessed August 9, 2023).

Google Scholar

Kwan, B. M., Sills, M. R., Graham, D., Hamer, M. K., Fairclough, D. L., Hammermeister, K. E., et al. (2016). Stakeholder engagement in a patient-reported outcomes (PRO) measure implementation: a report from the SAFTINet practice-based research network (pbrn). J. Am. Board Fam. Med. 29 (1), 102–115. Available at:. doi:10.3122/jabfm.2016.01.150141

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, I. H., Kim, C. Y., Kang, S., Ahn, D. J., and Kim, M. K. (2021). Multiple myeloma-associated light chain amyloidosis involving heart, kidneys, and peripheral nerves: a case report. Med. Case Rep. Study Protoc. 2 (8), e0128. Available at:. doi:10.1097/MD9.0000000000000128

CrossRef Full Text | Google Scholar

Nativi-Nicolau, J., Sarswat, N., Fajardo, J., Finkel, M., Abdulsattar, Y., Castaño, A., et al. (2021). Best practices in specialized amyloidosis centers in the United States: a survey of cardiologists, Nurses, patients, and patient advocates. Clin. Med. Insights Cardiol. 15, 11795468211015230. Available at:. doi:10.1177/11795468211015230

PubMed Abstract | CrossRef Full Text | Google Scholar

Nativi-Nicolau, J. N., Karam, C., Khella, S., and Maurer, M. S. (2022). Screening for ATTR amyloidosis in the clinic: overlapping disorders, misdiagnosis, and multiorgan awareness. Heart Fail. Rev. 27 (3), 785–793. Available at:. doi:10.1007/s10741-021-10080-2

PubMed Abstract | CrossRef Full Text | Google Scholar

NBNA (2019). National Black Nurses association news, 32.

Google Scholar

Obi, C. A., Mostertz, W. C., Griffin, J. M., and Judge, D. P. (2022). ATTR epidemiology, genetics, and prognostic factors. ATTR Epidemiol. Genet. Prognostic Factors 18 (2), 17–26. Available at:. doi:10.14797/mdcvj.1066

CrossRef Full Text | Google Scholar

O’Connor, M., Hsu, K., Broderick, L., McCausland, K. L., LaGasse, K., Rebello, S., et al. (2023). The transthyretin amyloidosis – quality of life (ATTR-QOL) Questionnaire: development of a conceptual model and disease-specific patient-reported outcome measure’. Patient Relat. Outcome Meas. 14, 213–222. doi:10.2147/PROM.S411721

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruberg, F. L., Grogan, M., Hanna, M., Kelly, J. W., and Maurer, M. S. (2019). Transthyretin amyloid cardiomyopathy: JACC state-of-the-art review. J. Am. Coll. Cardiol. 73 (22), 2872–2891. Available at:. doi:10.1016/j.jacc.2019.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Saelices, L., Cascio, D., et al. (2015). RCSB PDB - 4TLT: crystal structure of human transthyretin. Available at: https://www.rcsb.org/structure/4TLT (Accessed August 9, 2023).

Google Scholar

Saelices, L., Johnson, L. M., Liang, W. Y., Sawaya, M. R., Cascio, D., Ruchala, P., et al. (2015). Uncovering the mechanism of aggregation of human transthyretin. J. Biol. Chem. 290 (48), 28932–28943. Available at:. doi:10.1074/jbc.M115.659912

PubMed Abstract | CrossRef Full Text | Google Scholar

Strickland, L. (n.d. Life is what you make it | amyloidosis foundation. Available at: https://www.amyloidosis.org/node/116 (Accessed: August 9, 2023).

Google Scholar

Taxter, A. J., and Natter, M. D. (2022). Using the electronic health record to enhance care in pediatric rheumatology. Rheum. Dis. Clin. 48 (1), 245–258. Available at:. doi:10.1016/j.rdc.2021.08.004

CrossRef Full Text | Google Scholar

Tran, D., Li, B., Heeg, B., Bambri, R., Stewart, M., Grima, D., et al. (2020). Impact of tafamidis on life expectancy and quality of life of transthyretin amyloid cardiomyopathy patients. J. Cardiac Fail. 26, S132–S133. doi:10.1016/j.cardfail.2020.09.384

CrossRef Full Text | Google Scholar

UnitedHealthcare (2023). Vyndamax (tafamidis) - prior authorization/medical necessity -. UnitedHealthcare Services, Inc. Available at: https://www.uhcprovider.com/content/dam/provider/docs/public/prior-auth/drugs-pharmacy/commercial/r-z/PA-Med-Nec-Vyndamax.pdf (Accessed August 9, 2023).

Google Scholar

Williams, M. A. C., et al. (2022). Current and potential therapeutic strategies for transthyretin cardiac amyloidosis’, Frontiers in Drug Discovery. Available at: https://www.frontiersin.org/articles/10.3389/fddsv.2022.1015545 (Accessed August 9, 2023).

Google Scholar

Keywords: amyloidosis, African, patient-reported outcomes, electronic health record, diagnosis, rare disease, data element

Citation: Hendricks-Sturrup RM, Edgar LM and Lu CY (2023) Leveraging stories of cardiac amyloidosis patients of African ancestry or descent to support patient-derived data elements for efficient diagnosis and treatment. Front. Pharmacol. 14:1276396. doi: 10.3389/fphar.2023.1276396

Received: 11 August 2023; Accepted: 31 October 2023;
Published: 24 November 2023.

Edited by:

Ceu Mateus, Lancaster University, United Kingdom

Reviewed by:

Viktorija Erdeljic Turk, University Hospital Centre Zagreb, Croatia

Copyright © 2023 Hendricks-Sturrup, Edgar and Lu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rachele M. Hendricks-Sturrup, rachele.hendricks.sturrup@duke.edu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.