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Abstract

Introduction: Initial clinical manifestations of transthyretin amyloidosis (ATTR) are not well understood, making timely diagnosis challenging. Methods: Patients aged ≥68 years newly diagnosed with ATTR were identified using Medicare Research Identifiable Files. Symptom manifestation and healthcare utilization were measured during 3 years pre-diagnosis; demographics and comorbidity index during 1-year pre-diagnosis. Controls (ATTR-free) were matched 1:1 to patients with ATTR based on age, sex and region; same index date and enrollment as match. Results: We identified 552 matched ATTR-control pairs: mean age 78.3 (standard deviation 6.3) and 64.5% male. Among patients with ATTR (vs controls), cardiovascular conditions (92.9 vs 75.9%) and hospitalization (54.0 vs 35.5%) were frequent during 3 years pre-diagnosis. Conclusion: Patients with ATTR have multiple symptoms and hospitalizations pre-diagnosis, recognition of which may facilitate earlier diagnosis and treatment.
Transthyretin amyloidosis (ATTR) is a progressive, debilitating condition caused by multisystem infiltration of transthyretin (TTR) amyloid fibrils. Extracellular deposition of amyloid fibrils triggered by dissociation and misfolding of TTR protein can result from heritable mutations in the TTR gene (mutant or variant [ATTRv]) or aging-related misfolding (wild-type [ATTRwt]), giving rise to two distinct subtypes of the condition [1,2]. Cardiomyopathy, bilateral carpal tunnel syndrome and progressive symmetric sensorimotor neuropathy are the primary manifestations of ATTR [3,4]. As the condition progresses, amyloid deposits in the gastrointestinal tract, eyes and other tissues can lead to additional multisystem symptoms [5]. The presence and extent of cardiac involvement is a major cause of morbidity and significantly affects overall survival and quality of life [6,7]. Progressive heart failure, frequently with preserved left ventricular ejection fraction, ventricular hypertrophy in the absence of hypertension, arrhythmias (especially atrial fibrillation), conduction system disorders and intracardiac thrombus causing systemic embolization are major manifestations of ATTR cardiomyopathy (ATTR-CM) [6–8].
Diagnosis of ATTR is often delayed or missed due to multiple overlapping and nonspecific clinical manifestations, symptom variability and low disease awareness. Delayed diagnosis can lead to symptom worsening, impaired function and poor quality of life due to disease progression [6,7]. A prospective evaluation of 916 patients with ATTR-CM established a diagnostic delay of more than 4 years after cardiac symptom presentation in 42% of cases evaluated. Significant functional impairment, worsening of cardiac disease, greater decline in quality of life and poorer survival were noted at the time of diagnosis [7]. The heterogeneity in symptom manifestation further mandates multidisciplinary care, frequent hospital visits and high rate of healthcare utilization [5,9,10].
New disease-modifying agents such as the TTR silencers (inotersen and patisiran) and stabilizers (tafamidis, diflunisal and acoramidis) that inhibit TTR protein production or prevent its aggregation to amyloid fibrils have demonstrated significant improvement in clinical outcomes [11–16]. Treatment with inotersen and patisiran is associated with reduced polyneuropathy and improved quality of life; tafamidis with reduced cardiovascular (CV) mortality and CV-related hospitalization; and diflunisal with reduced progression of neurologic impairment and preserved quality of life [11–15]. Given the availability of effective treatment, there is an emerging need to better understand the initial clinical presentation of this previously untreatable condition to facilitate earlier diagnosis and prompt treatment.
Limited research exists about patient symptoms and experiences before diagnosis of ATTR. A previous study evaluated patient clinical characteristics and healthcare utilization before ATTRv diagnosis through retrospective analysis of a large commercial claims database [17]. However, a key limitation of that study was the underrepresentation of older patients, who are more likely to be affected by the disease. Thus, this study was designed to understand the pattern of patient clinical characteristics and healthcare utilization in the years leading up to diagnosis of ATTR among Medicare beneficiaries.

Methods & materials

Study design & data source

This was a retrospective, descriptive analysis of the Medicare claims database, Research Identifiable Files (RIFs) during an 8-year study period between 1 January 2011 and 31 December 2018. The Medicare RIFs database is the most comprehensive Medicare data source capturing all Medicare-enrolled beneficiaries from all census regions in the US. The database includes patient information on demographics, enrollment and administrative claims-level data for more than 55 million Medicare enrolled beneficiaries as of 2015 [18]. Detailed information on inpatient and outpatient services, diagnoses and procedures (International Classification of Diseases [ICD] versions 9/10), prescription drugs, skilled nursing facility and home health care, hospice care, durable medical equipment, dates of service and provider charges and characteristics can be obtained for analyses [19]. In addition, Medicare RIFs include a unique, encrypted beneficiary identifier that allows linkage across files and time [19]. As the database allows for the largest possible sample size of beneficiaries it is well suited for studying rare diseases [20]. This study received approval for full waiver of Health Insurance Portability and Accountability Act authorization from the Western Institutional Review Board. Partnership for Health Analytic Research, LLC, a health services research company, was hired by Akcea Pharmaceuticals to conduct this study.

Patient population & time frame

Clinical characteristics and healthcare utilization data of patients ≥68 years old (age requirement allowed for an adequate sample size among Medicare enrollees who are primarily 65 years and older, taking into account the chosen pre-index observation period defined below), before ATTR diagnosis (ATTRv or ATTRwt) during the identification (ID) period (1 January 2011 to 31 December 2018) were extracted through RIFs. Patients with newly diagnosed ATTR, defined as those having one or more inpatient or two or more outpatient medical claims with a diagnosis code for ATTR (ICD-10, Clinical Modification [ICD-10-CM]: E85.1, E85.2, E85.82) were included in the study. Patients diagnosed with other amyloidosis diagnosis code (ICD-10-CM: E85.0, E85.89, E85.9), except light chain, secondary systemic and organ-limited amyloidosis, during any time in the study period (2011–2018) were included if they had one or more medical claim (inpatient or outpatient) with a diagnosis code for congestive heart failure (CHF), cardiomyopathy (restrictive or hypertrophic) or neuropathy and had no claims for chemotherapy or stem cell transplant. Among those identified, patients with evidence of dementia at any time in the study period (2011–2018) were excluded to omit patients with amyloid angiopathy, which may be observed in patients with dementia and was not an amyloidosis type of interest [21–23]. The index date was defined as the date of the first claim with an ATTR diagnosis code during the ID period. A disease-free control group of patients without history of diagnosis of amyloidosis was derived from a 5% random sample of enrollees between 1 January 2011 to 31 December 2018. Patients in the control group were matched 1:1 to patients identified as newly diagnosed with ATTR (i.e., cases) based on age, sex and region and were assigned the same index date as their matched ATTR case. The baseline period was defined as the 1-year period before the index date. In addition, a 3-year period before the index date was used to examine manifestation of clinical characteristics and healthcare utilization of interest before the index diagnosis. All patients were required to have continuous enrollment in fee-for-service Medicare Parts A (hospital insurance) and B (medical insurance) and Part D (prescription drug coverage) during the 3 years before diagnosis to ensure completeness of available clinical data for included patients.

Study measures & statistical analysis

Baseline characteristics including patient demographics (age, sex and geographic region), physician characteristics including diagnosing physician specialty at index date (physician associated with index claim) and frequently visited physician specialty during the baseline period (hematologist/oncologist, nephrologist, cardiologist, gastroenterologist, neurologist, primary care physician, and other) were described. To examine severity of comorbidity burden, the Charlson Comorbidity Index (CCI) was calculated [24]; and the number of chronic conditions was counted using the Healthcare Cost and Utilization Project chronic condition indicator [25].
In each pre-index year during the 3 years before diagnosis, the occurrence of selected comorbid conditions and symptoms, with one or more claims, potentially related to ATTR (nervous system, CV, ocular, musculoskeletal, gastrointestinal, and metabolic conditions and multiorgan failures/dysfunctions) was identified. Proportions of patients with CV conditions and carpal tunnel syndrome, spinal stenosis and/or aortic stenosis and interquartile mean time between first evidence of CV condition and index diagnosis were also calculated. Healthcare utilization including proportion of patients with an indication for undergoing selected diagnostic testing (blood/urine testing, cardiac imaging, tissue biopsy, genetic testing, nerve conduction study, gastric emptying, and mass spectrometry), therapeutic services (defibrillator/pacemaker [cardiac implantable electronic device], stent, cardiac ablation, cardioversion) and CV-related inpatient hospitalization and emergency department (ED) visits and mean number of outpatient physician visits and prescription fills were calculated. Utilization was considered CV-related if its billing claim included a primary diagnosis code for one of the selected CV conditions.
All data transformations and statistical analyses were performed using SAS version 9.4. A two-sided p-value <0.05 was considered statistically significant. Patient clinical characteristics and healthcare utilization in each pre-index year over the 3 years before diagnosis were summarized through descriptive statistics (mean, standard deviation [SD] and range). Continuous variables were summarized as means and SD, and categorical variables were described as frequencies and percentages. All outcomes were compared between cases versus matched controls. Results are reported in accordance with the Centers for Medicare & Medicaid Services cell size suppression policy, which stipulates that no cell with a value <11 (not including 0) can be directly reported [26].

Results

Of the 1359 Medicare claims patients identified during the ID period, 371 fulfilled the criteria for the 3-year look-back period (≥68 years) with a specific diagnostic code for ATTRv or ATTRwt. Among 11,755 Medicare claims patients identified with diagnostic code for other amyloidosis types (except light chain, secondary systemic and organ-limited amyloidosis), 921 fulfilled the inclusion criteria for ATTR. Following the exclusion of those with a diagnosis code of dementia, the final cohort consisted of 552 patients with ATTR, who were matched with 552 ATTR free controls (Table 1).
Table 1. Sample size of patients with ATTR identified from Medicare claims database using study selection criteria.
Criteria for identifying patients with ATTR amyloidosisFinal ATTR cohort with 3-year look-back period
A. Had ≥1 inpatient or ≥2 outpatient medical claims during the ID period (1/1/2016–31/12/2018) with a diagnosis code for hereditary or wild-type forms of amyloidosis and had no amyloidosis diagnosis before the index date (the first diagnosis date in ID period)1359
A1. Among A, who were continuously enrolled in the 3 years before the index date389
A2. Among A1, who were at least 68 years old on the index date371
B. Had ≥1 inpatient or ≥2 outpatient medical claims in the specific CY with a diagnosis code for another form of amyloidosis (except light chain, secondary systemic, and organ-limited amyloidosis) and had no amyloidosis diagnosis before the index date (the first diagnosis date in ID period)11,755
B1. Among B, who were continuously enrolled in the 3 years before the index date3667
B2. Among B1, who were at least 68 years old on the index date3490
B3. Among B2, had ≥1 medical claim with a diagnosis code for CHF, cardiomyopathy, or neuropathy in study period (2011–2018)2758
B4. Among B3, lack evidence of chemotherapy or stem cell transplant in study period979
B5. Among B4, lack evidence of a diagnosis of light chain amyloidosis in study period921
C. A2 or B51228
D. Among C, had no evidence of dementia in study period552
ATTR: Transthyretin amyloidosis; CHF: Congestive heart failure; CY: Claim year; ID: Identification.

Comorbidity & treating physician characteristics

The mean (SD) age among patients with ATTR and matched controls was 78.3 (6.3) years, with more patients belonging to the age group 75–85 years (50.9%). Overall, 35.5% of patients were female, and a predominance of White race beneficiaries was observed in both the groups of interest (ATTR vs control: 83.9 vs 91.5%; p < 0.001) (Table 2). Patients with ATTR presented with significant comorbidity burden in the year before diagnosis, with a mean (SD) CCI of 3.1 (2.5) and 5.4 (2.0) chronic conditions relative to a CCI of 2.0 (2.4) and 4.3 (2.0) chronic conditions in matched controls. In the year before diagnosis, primary care physicians were the most commonly seen physician type by patients with ATTR (48.0 vs 44.4% in matched controls), followed by cardiologists (17.9 vs 10.0%), dermatologists (3.8 vs 7.1%), hematologist/oncologists (3.1%) and orthopedic surgeons (2.0 vs 2.9%). Cardiologists were the diagnosing physician in 16.1% of patients, followed by hematologist/oncologists (9.6%), primary care physicians (9.4%), pathologists (6.5%) and radiologists (4.9%) (Table 3).
Table 2. Patient demographics.
 ATTRMatched DF controlsp-value
N552552 
Age in years, mean (SD)78.3 (6.3)78.3 (6.3)NA
  68–69, n (%)29 (5.3)29 (5.3) 
  70–74, n (%)149 (27.0)149 (27.0) 
  75–84, n (%)281 (50.9)281 (50.9) 
  85+, n (%)93 (16.8)93 (16.8) 
Female, n (%)196 (35.5)196 (35.5)NA
Race, n (%)  <0.001
  White463 (83.9)505 (91.5) 
  Black67 (12.1)30 (5.4) 
  Other/unknown22 (4.0)17 (3.1) 
Region, n (%)  NA
  Midwest149 (27.0)149 (27.0) 
  Northeast163 (29.5)163 (29.5) 
  South146 (26.4)146 (26.4) 
  West94 (17.0)94 (17.0) 
Year of index date, n (%)  NA
  2016165 (29.9)165 (29.9) 
  2017167 (30.3)167 (30.3) 
  2018220 (39.9)220 (39.9) 
Matched with age, gender and region.
Matched exactly.
ATTR: Transthyretin amyloidosis; DF: Disease free; NA: Not available; SD: Standard deviation.
Table 3. Baseline patient comorbidities and physician specialty characteristics.
 ATTRMatched DF controlsp-value
N552552 
Charlson Comorbidity Index, mean (SD)3.1 (2.5)2.0 (2.4)<0.001
Number of chronic conditions, mean (SD)5.4 (2.0)4.3 (2.0)<0.001
Physician specialty, n (%)  <0.001
  Primary care265 (48.0)245 (44.4) 
  Cardiology99 (17.9)55 (10.0) 
  Dermatology21 (3.8)39 (7.1) 
  Orthopedic surgery11 (2.0)16 (2.9) 
  Hematology/oncology17 (3.1)§ 
  Urology§16 (2.9) 
  Other specialty115 (20.8)126 (22.8) 
  No evaluation and management services17 (3.1)48 (8.7) 
Provider associated with index claim, n (%)  NA
  Facility claims, unknown specialty214 (38.8)NA 
  Cardiology89 (16.1)NA 
  Hematology/oncology53 (9.6)NA 
  Primary care52 (9.4)NA 
  Pathology36 (6.5)NA 
  Diagnostic radiology27 (4.9)NA 
  Other specialty81 (14.7)NA 
During 1 year before the index date.
Matched with age, gender and region.
§
Reported per Centers for Medicare & Medicaid Services cell size suppression policy (i.e., frequency <11).
Included all other specialties with frequency <2% and podiatry (2.4%, n = 26).
ATTR: Transthyretin amyloidosis; DF: Disease free; NA: Not available; SD: Standard deviation.
In the 3 years leading up to ATTR diagnosis, occurrence of the selected comorbidities was more frequent among patients with ATTR relative to matched controls (Figure 1, Table 4). A statistically significant difference (p < 0.05) in the observed comorbidities was noticed between patients with ATTR and matched controls in CV conditions (92.9 vs 75.9%), musculoskeletal conditions (62.9 vs 42.2%), gastrointestinal conditions (49.1 vs 36.8%), metabolic conditions (46.6 vs 37.1%), nervous system conditions (37.7 vs 22.1%), ocular conditions (33.0 vs 25.9%) and organ dysfunction or failure (28.3 vs 15.4%). In patients with nervous system conditions, a statistically significant difference between cases and matched controls was observed only for peripheral neuropathy (29.2 vs 11.8%; ATTR vs matched controls; p < 0.001), whereas other neurological symptoms including urinary incontinence (12.5 vs 13.6%) and fecal incontinence (2.4 vs 2.0%) were not statistically significant. Among the musculoskeletal conditions, percentage of patients with ATTR who developed spinal stenosis (28.8 vs 14.7%) and carpel tunnel syndrome (16.7 vs 6.2%) were statistically higher than matched controls. In the case of gastrointestinal conditions, a statistically significant difference was observed among the percentage of patients who experienced constipation (21.9 vs 13.6%) (Table 4).
Figure 1. First observed occurrence of comorbidity by organ system during 3 years prior to ATTR diagnosis (left) and aggregate comorbidity and healthcare utilization in pre-diagnosis period (right).
In the 3 years leading up to ATTR diagnosis, occurrence of the selected comorbidities and healthcare utilization was more frequent among patients with ATTR relative to matched controls.
ATTR: Transthyretin amyloidosis; DF: Disease free; Dx: Diagnosis; ED: Emergency department; GI: Gastrointestinal; SD: Standard deviation.
Table 4. Observed occurrence of comorbidities during 3 years before diagnosis.
 ATTRMatched DF controlsp-value
N552552 
Cardiovascular conditions, n (%)513 (92.9)419 (75.9)<0.001
First evidence occurred  <0.001
  No evidence39 (7.1)133 (24.1) 
  Pre-Y3375 (67.9)313 (56.7) 
  Pre-Y274 (13.4)57 (10.3) 
  Pre-Y164 (11.6)49 (8.9) 
Dyspnea396 (71.7)208 (37.7)<0.001
Congestive heart failure348 (63.0)121 (21.9)<0.001
Edema279 (50.5)121 (21.9)<0.001
Atrial fibrillation/flutter267 (48.4)128 (23.2)<0.001
Ventricular hypertrophy248 (44.9)81 (14.7)<0.001
Chest pain231 (41.8)142 (25.7)<0.001
Other hemorrhages218 (39.5)160 (29.0)<0.001
Coronary artery disease207 (37.5)163 (29.5)0.005
Aortic stenosis143 (25.9)87 (15.8)<0.001
Bradycardia131 (23.7)96 (17.4)0.009
Hypotension114 (20.7)62 (11.2)<0.001
Syncope93 (16.8)81 (14.7)0.322
Myocardial infarction80 (14.5)34 (6.2)<0.001
Restrictive cardiomyopathy63 (11.4)18 (3.3)<0.001
Hypertrophic cardiomyopathy44 (8.0)§<0.001
Ischemic stroke43 (7.8)41 (7.4)0.820
Hemorrhagic stroke§§0.999
Musculoskeletal/connective tissue conditions, n (%)347 (62.9)233 (42.2)<0.001
First evidence occurred  <0.001
  No evidence205 (37.1)319 (57.8) 
  Pre-Y3202 (36.6)138 (25.0) 
  Pre-Y275 (13.6)54 (9.8) 
  Pre-Y170 (12.7)41 (7.4) 
Spinal stenosis159 (28.8)81 (14.7)<0.001
Low bone mineral density113 (20.5)95 (17.2)0.166
Osteoporosis107 (19.4)84 (15.2)0.067
Carpal tunnel syndrome92 (16.7)34 (6.2)<0.001
Fibromyalgia50 (9.1)28 (5.1)0.010
Biceps rupture22 (4.0)14 (2.5)0.175
Hip/knee arthroscopy§§0.435
Gastrointestinal conditions, n (%)271 (49.1)203 (36.8)<0.001
First evidence occurred  <0.001
  No evidence281 (50.9)349 (63.2) 
  Pre-Y396 (17.4)72 (13.0) 
  Pre-Y279 (14.3)75 (13.6) 
  Pre-Y196 (17.4)56 (10.1) 
Constipation121 (21.9)75 (13.6)<0.001
Nausea110 (19.9)95 (17.2)0.246
Diarrhea104 (18.8)72 (13.0)0.009
Unintentional weight loss78 (14.1)62 (11.2)0.148
Gastroparesis§§0.094
Metabolic conditions, n (%)257 (46.6)205 (37.1)0.002
First evidence occurred  <0.001
  No evidence295 (53.4)347 (62.9) 
  Pre-Y3197 (35.7)166 (30.1) 
  Pre-Y236 (6.5)22 (4.0) 
  Pre-Y124 (4.3)17 (3.1) 
Diabetes257 (46.6)205 (37.1)0.002
Nervous system conditions, n (%)208 (37.7)122 (22.1)<0.001
First evidence occurred  <0.001
  Pre Y393 (16.8)63 (11.4) 
  Pre Y255 (10.0)35 (6.3) 
  Pre Y160 (10.9)24 (4.3) 
Neuropathy161 (29.2)65 (11.8)<0.001
Incontinence78 (14.1)81 (14.7)0.797
Urinary incontinence69 (12.5)75 (13.6)0.592
Fecal incontinence13 (2.4)11 (2.0)0.680
Ocular conditions, n (%)182 (33.0)143 (25.9)0.010
First evidence occurred  0.024
  No evidence370 (67.0)409 (74.1) 
  Pre-Y116 (2.9)21 (3.8) 
  Pre-Y241 (7.4)28 (5.1) 
  Pre-Y3125 (22.6)94 (17.0) 
Glaucoma111 (20.1)75 (13.6)0.004
Vitreous opacification55 (10.0)40 (7.2)0.107
Blindness/loss of vision49 (8.9)43 (7.8)0.514
Abnormal conjunctival vessels§§0.317
Pupillary abnormalities§§0.179
Other organ conditions, n (%)156 (28.3)85 (15.4)<0.001
First evidence occurred  <0.001
  No evidence396 (71.7)467 (84.6) 
  Pre-Y335 (6.3)31 (5.6) 
  Pre-Y245 (8.2)31 (5.6) 
  Pre-Y176 (13.8)23 (4.2) 
Renal failure145 (26.3)71 (12.9)<0.001
Multiple organ dysfunction syndrome32 (5.8)32 (5.8)1.000
Organ transplant§§0.315
Matched with age, gender, and region.
Included extracranial (e.g., gastrointestinal, genitourinary, retroperitoneal) and intracranial hemorrhages (e.g., intracerebral, subarachnoid, subdural).
§
Reported per Centers for Medicare & Medicaid Services cell size suppression policy (i.e., frequency <11).
Included codes related to cardiac, kidney, liver, lung and pancreas transplant (including transplant status, after care, rejection, failure and complications).
ATTR: Transthyretin amyloidosis; DF: Disease free.

CV conditions

CV conditions were the most commonly seen comorbidity (92.9 vs 75.9%) in patients with ATTR in the 3 years leading to diagnosis. Dyspnea (71.6 vs 37.7%), congestive heart failure (63.0 vs 21.9%), edema (50.5 vs 21.9%), atrial fibrillation (48.4 vs 23.2%), ventricular hypertrophy (44.9 vs 14.7%), chest pain (41.8 vs 25.7%), hemorrhage (39.5 vs 29.0%), aortic stenosis (25.9 vs 15.8%), hypotension (20.7 vs 11.2%), myocardial infarction (14.5 vs 6.2%) and restrictive cardiomyopathy (11.4 vs 3.3%) were significantly more common in patients with ATTR in the 3 years before diagnosis compared with controls (Table 4). In particular, coronary artery disease, atrial fibrillation/flutter and restrictive cardiomyopathy were observed more than 2 years before ATTR diagnosis (Table 5). CV conditions in conjunction with spinal stenosis (29.4%), aortic stenosis (27.9%) and carpal tunnel syndrome (16.2%) were also observed in patients with ATTR in the 3 years leading to diagnosis (results not displayed).
Table 5. Interquartile mean time since first observed occurrence of selected cardiovascular conditions during 3 years before diagnosis.
 ATTR
 No. of patients with eventIQM (days)
Cardiovascular conditions513966.2
Coronary artery disease207943.9
Atrial fibrillation/flutter267809.2
Restrictive cardiomyopathy63804.5
Bradycardia131744.6
Dyspnea396634.2
Ischemic stroke43591.0
Aortic stenosis143575.1
Edema279570.3
Congestive heart failure348569.2
Other hemorrhages218538.1
Syncope93482.5
Chest pain231442.2
Ventricular hypertrophy248424.6
Hypotension114394.4
Hemorrhagic stroke388.7
Myocardial infarction80331.3
Hypertrophic cardiomyopathy44259.0
Median values not reported per Centers for Medicare & Medicaid Services cell size suppression policy (i.e., frequency <11); interquartile means reported as a proxy of median.
Reported per Centers for Medicare & Medicaid Services cell size suppression policy (i.e., frequency <11).
ATTR: Transthyretin amyloidosis; IQM: Interquartile mean.

Healthcare utilization

Analysis of healthcare utilization data showed that the occurrence of selected diagnostic testing and procedures, ED visits and hospitalizations were more frequent among patients with ATTR in the 3 years leading up to diagnosis relative to matched controls in a similar time frame (Supplementary Tables). Cardiac imaging (81.7 vs 48.2%), blood/urine examination (45.8 vs 18.3%) and nerve condition studies (19.2 vs 8.5%) were more frequent among patients with ATTR (p < 0.001); notably, echocardiogram (81.5 vs 48.2%) was the most frequently prescribed cardiac imaging modality for diagnosing CV conditions in patients with ATTR. Data concerning therapeutic procedures in the 3 years before diagnosis showed that patients with ATTR received defibrillator/pacemaker (cardiac implantable electronic device; 16.3 vs 7.2%), cardioversion (12.5 vs 2.4%) and cardiac ablation (5.1%) more frequently than matched controls (p < 0.001). Inpatient hospitalizations (54.0 vs 35.5%; p < 0.001) and ED visits (56.0 vs 43.5%; p < 0.001) during the 3 years before diagnosis were more frequent among patients with ATTR. Patients with ATTR had a greater number of physician outpatient visits (56.8 [39.9] vs 41.3 [33.6]; p < 0.001]) and prescriptions (100.0 [62.8] vs 87.4 [73.9]; p = 0.002) than matched controls in the 3 years leading to diagnosis. Additionally, CV-related inpatient hospitalizations (29.3 vs 11.4%; p < 0.001) and ED visits (22.8 vs 13.0%; p < 0.001) were more common among the patients with ATTR (Supplementary Tables).
Cumulative probability plots (Figures 1–3) show consistent results for patients with ATTR with the first occurrence of selected comorbidities and selected diagnostic testing often being early in the 3 years before diagnosis.
Figure 2. First observed occurrence of cardiovascular conditions during the 3 years before transthyretin amyloidosis diagnosis.
(A) Frequency of occurrence in the years before transthyretin amyloidosis (ATTR) diagnosis of cardiovascular conditions commonly associated with ATTR. (B) Frequency relative to ischemic cardiovascular conditions. (C) Frequency for findings and conditions associated with ventricular hypertrophy.
Hemorrhagic stroke was not plotted due to small count of patients (i.e., <11) with condition, as per the Centers for Medicare & Medicaid Services cell size suppression policy.
Dx: Diagnosis.
Figure 3. First observed occurrence of diagnostic testing during 3 years prior to transthyretin amyloidosis diagnosis.
Selected diagnostic testing is often early in the 3 years prior to diagnosis.
Dx: Diagnosis.

Discussion

ATTR is often unheeded or misdiagnosed early in its course due to its nonspecific and heterogeneous clinical presentation [27]. This retrospective analysis of Medicare health claims showed that patients with ATTR exhibit numerous symptoms and multisystem comorbidities in the 3 years before diagnosis. Many conditions and symptoms were more frequent among patients with ATTR compared with disease-free matched controls, suggesting that these comorbidities may be associated with ATTR. Patients with ATTR experienced a greater number of chronic conditions and a higher CCI score compared with matched controls, indicating the progressive nature of this condition. Analysis of healthcare utilization data also showed that patients with ATTR had more frequent diagnostic and therapeutic procedures, ED visits and hospitalizations than matched controls during a similar time frame.
In the 3 years before ATTR diagnosis, the selected conditions were more frequently observed among the patients with ATTR than matched controls. In particular, coronary artery disease, atrial fibrillation/flutter and restrictive cardiomyopathy were observed as early as 2–3 years before ATTR diagnosis. Spinal stenosis and carpal tunnel syndrome were the most commonly seen musculoskeletal comorbidities in patients with ATTR and their occurrence in combination with CV conditions was also frequently noticed.
This study provides a granular picture of the symptom burden experienced by patients with ATTR before diagnosis and may be of clinical significance for several reasons. The occurrence of the selected conditions, sometimes years before a diagnosis of ATTR, could indicate early markers of disease that, if recognized, could allow for earlier diagnosis and treatment. As prognosis is dependent on early intervention, timely diagnosis and treatment is critical. In addition, although the frequent manifestation of CV and neurologic conditions was expected, the occurrence of gastrointestinal and musculoskeletal conditions suggests the multisystem nature of clinical presentation even in earlier stages of disease. It is also important to acknowledge that diagnostic errors are common in this disease [28,29] and can lead to initiation of an inappropriate treatment in two-thirds of the patients [30]. Finally, the higher frequency of comorbid conditions and healthcare utilization (therapeutic devices, ED visits and hospitalization) in these older patients with ATTR compared with controls suggests a high disease burden associated with the condition that could potentially be attenuated with earlier diagnosis and initiation of therapy.
The findings of the present study are consistent with previously published reports. The analysis of healthcare utilization data of ATTRv patients enrolled in the APOLLO study showed that, in the year before study enrollment, patients with ATTRv averaged 7.6 visits to general practitioners (once every 7 weeks) and 8.8 visits to specialists (once every 6 weeks) [31]. Approximately 23% of patients had at least one ED visit in the year before enrollment, and 28% of patients reported at least one overnight hospitalization. Moreover, patients in later stages of disease experienced more ED visits and hospitalizations than those in earlier stages [31]. Analysis of 10-year data from the National Inpatient Sample (2005–2014) revealed 41 hospitalizations per 100,000 and longer inpatient stays (7.5 ± 9.2 days vs 6.2 ± 8.1 days, p < 0.001) in patients with a diagnosis of amyloidosis [32]. These findings indicate that ATTR presents with significant comorbidity and healthcare expenditure in the years before diagnosis.
The Transthyretin Amyloidosis Outcome Survey demonstrated widespread cardiac involvement among the patients with ATTR. Signs and symptoms of cardiac involvement were seen in 94% of patients with ATTRwt [5]. The present study showed that patients with ATTR suffered from multiple CV symptoms with twice as many inpatient hospitalizations and ED visits due to CV-related events over the 3 years before diagnosis than controls. A similar observation was made by Lane et al., who reported that ATTR-CM patients presented with a minimum of 4 years of delayed diagnosis and a median 17 healthcare encounters in the 3 years before diagnosis [7]. An international cardiac amyloidosis patient survey analyzing delays and errors in the diagnostic pathway showed that patients visited three to five physicians before a diagnosis of amyloidosis was made [28]. A 2019 analysis of the National Inpatient Sample showed that heart failure was present in 34.7% of patients with amyloidosis (p = 0.001) and was associated with higher morbidity and mortality. Moreover, that study also showed that patients with ATTR with a concomitant diagnosis of heart failure were more likely to undergo right heart catheterization, endomyocardial biopsy or have a pacemaker or defibrillator implanted [32]. In a retrospective claims analysis of commercial and Medicare supplemental databases, Reddy et al. further showed that CV procedures like electrocardiography and echocardiogram were the most common cardiac diagnostic procedures in ATTRv patients in the year after diagnosis [9].
The results presented in the current study are to be interpreted in the context of several limitations. First, the patient identification algorithm used in this study has not been validated using medical records; however, the majority of patients included in the final sample had specific codes for ATTR (E85.1, E85.2 or E85.82). Second, the 3-year look-back period limited the ability to examine earlier manifestations of disease; however, this time frame was chosen in favor of a longer look-back period that yielded a much smaller sample size. Third, the ATTR population included in the present study did not show a high frequency of ATTRwt (i.e., ~23% of those identified in 2018), as would be expected given recent availability of this diagnostic code with respect to study period; therefore, the study findings are likely more representative of patients with ATTRv than ATTRwt. Moreover, the percentage (12.1%) of African–American beneficiaries in our study, albeit higher than in the underlying population of fee-for-service Medicare beneficiaries (9.2% in 2019), was lower than expected as the V122I variant associated with African ancestry is the predominant cause of ATTRv in the USA. The observed percentage could be the result of genetics, inequality in access to genetic testing, or provider knowledge. Fourth, as new treatments have emerged since the study identification period (2016–2018), increased awareness for a more treatable condition may yield different patterns of care leading up to diagnosis. Fifth, although age of onset of ATTR amyloidosis varies among patients, the study findings may not be generalizable to patients who are younger than 68 years of age at diagnosis. Sixth, although patients with ATTR were compared with a matched reference cohort representing beneficiaries without the condition, we did not adjust for all observed differences between the groups, limiting our ability to directly link pre-diagnosis patterns with ATTR amyloidosis. Finally, claims data lack clinical information, such as genotype or severity of illness, to help further characterize patients with an ATTR diagnosis and the associated comorbidity, manifestations and patterns of care leading up to diagnosis [33].
Despite the limitations discussed, the current study presented valuable insights on the unmet needs and healthcare utilization patterns in the years before an ATTR diagnosis. The high rate of ED visits and hospitalizations over the 3 years before diagnosis points to an elevated need for acute care before diagnosis of ATTR. The overlapping symptom complex observed in the ATTR patient population can make early diagnosis challenging. Future analyses focusing on long-term healthcare utilization in the years following ATTR diagnosis are imperative to gain a comprehensive understanding of burden of illness in this population.

Conclusion

Older patients with ATTR have a highly variable symptom presentation. Multisystem involvement, particularly CV and nervous system conditions, are observed among Medicare beneficiaries as early as 3 years before diagnosis. This constellation of conditions, together with multiple physician visits, hospitalization and investigational and therapeutic procedures lead to considerable burden of illness even before a clinical diagnosis of ATTR is established. Increased awareness of characteristic signs and symptoms of ATTR, including CV-related symptoms, may lead to earlier recognition of the disease and diagnosis and timely access to disease-modifying therapies.
Summary points
Patients with transthyretin amyloidosis (ATTR) often experience multiple clinical manifestations and symptom variability, which makes diagnosis in the early stages of the disease challenging.
Patients facing a delayed diagnosis of ATTR can experience symptom worsening, impaired function, poor quality of life and poorer survival due to disease progression, further resulting in higher healthcare utilization and costs.
This analysis utilized Medicare Research Identifiable Files (2011–2018) to examine patient clinical characteristics and healthcare utilization in the years leading up to a diagnosis of ATTR.
The final cohort consisted of 552 matched ATTR–control pairs, with a mean (standard deviation) age of 78.3 (6.3).
In the 3 years leading up to ATTR diagnosis, a statistically significant difference (p < 0.05) in the observed comorbidities was found between patients with ATTR and matched controls in cardiovascular conditions (92.9 vs 75.9%), musculoskeletal conditions (62.9 vs 42.2%), gastrointestinal conditions (49.1 vs 36.8%), metabolic conditions (46.6 vs 37.1%), nervous system conditions (37.7 vs 22.1%), ocular conditions (33.0 vs 25.9%) and organ dysfunction or failure (28.3 vs 15.4%).
The occurrence of selected diagnostic testing and procedures, ED visits and hospitalizations was more frequent among patients with ATTR in the 3 years leading up to diagnosis relative to matched controls in a similar time frame.
Results were consistent with published ATTR literature, in particular, by showing the common manifestation of cardiovascular symptoms in the early stages of disease.
High ATTR disease burden in the population of Medicare enrollees points to an opportunity for earlier diagnosis and intervention.
This study highlights the potential for earlier diagnosis of ATTR; future research on long-term healthcare utilization among patients with ATTR would add to our understanding of the burden faced by this population.

Author contributions

J Native-Nicolau, NM Fine, JT Ortiz Perez, D Brown, M Vera-Llonch: design of the work; interpretation of data; revising the work for important intellectual content; final approval. SR Reddy and E Chang: design of the work; acquisition and analysis of data; interpretation of data; drafting and revising the work for important intellectual content; final approval. MH Tarbox: acquisition of data; drafting and revising the work for important intellectual content; final approval.

Financial & competing interests disclosure

Funding for this study and publication-related fees was received from Akcea Therapeutics. D Brown and M Vera-Llonch are employees of and own stock in Ionis Pharmaceuticals Inc. SR Reddy, E Chang and MH Tarbox are employees of PHAR (Partnership Health Analytic Research), which was paid by Akcea to perform the research described in this manuscript. SR Reddy, E Chang and MH Tarbox 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. and other from Takeda, all outside the submitted work. JT Ortiz Perez received advisory board fees from Akcea and speaker fees for Astra-Zeneca, Boehringer and GE outside of the submitted work. J Native-Nicolau received funding for clinical trials for Pfizer, Akcea and Eidos; educational grants from Pfizer; and has been a consultant for Pfizer, Eidos, Akcea and Alnylam. NM Fine received consulting and research support from Akcea, Alnylam, Pfizer and Eidos. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
No writing assistance was utilized in the production of this manuscript.

Ethical conduct of research

The authors state that they have obtained appropriate institutional review board approval.

Open access

This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/

Supplementary Material

File (supplemental material.docx)

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