Citations

Abstract Background Tafamidis is a near-complete transthyretin kinetic stabiliser for the treatment of patients with transthyretin amyloid cardiomyopathy (ATTR-CM). It is administered orally, once daily, and has demonstrated a statistically significant reduction in mortality at 30 months vs placebo. Purpose Report findings from patients who received up to 7.5 years treatment with tafamidis in the phase 3 trial and its long-term extension (LTE) study. Methods In ATTR-ACT, patients were randomised (2:1:2) to blinded tafamidis meglumine 80 mg, 20 mg, or placebo for 30 months. Patients continued their blinded tafamidis dose into the up to 60-month LTE study, until commercial prescription availability, or study termination. Those who received placebo in ATTR-ACT were randomized (2:1) to blinded tafamidis meglumine 80 mg or 20 mg in the LTE study. All patients were subsequently switched to open label tafamidis free acid 61 mg (bioequivalent to meglumine 80 mg). Outcomes were assessed over the entire 90-month follow-up. Results Of the 264 patients randomised to tafamidis in ATTR-ACT, 173 completed the trial and 170 continued to receive tafamidis the LTE study (Taf/Taf group). Of 177 patients randomised to placebo in ATTR-ACT, 85 completed the trial and 82 initiated tafamidis in the LTE study (Pbo/Taf group). Over a median follow-up of 54.2 months in the Taf/Taf group and 30.5 months in the Pbo/Taf group, incidence of all-cause mortality (ACM) was 54.5% and 71.2%. Median time to ACM was 47.5 and 30.3 months, resulting in a hazard ratio of 0.62 (95% CI: 0.49-0.79; P=0.0001; Figure). Incidence of cardiovascular-related mortality (CVM) was 42.0% and 57.1% in the Taf/Taf and Pbo/Taf groups. Median time to CVM was 47.6 and 30.3 months, resulting in a hazard ratio of 0.61 (0.47-0.81; P=0.0005). The total annual rate of all-cause hospitalisation in the LTE study was 0.69 in the Taf/Taf group and 1.14 in the Pbo/Taf group, and the total annual rate of cardiovascular-related hospitalisation was 0.36 and 0.63. Among patients remaining at each LTE study visit and with available data, improvement in New York Heart Association functional classification was more commonly seen in the Taf/Taf vs Pbo/Taf group. Mean observed reduction from baseline in Kansas City Cardiomyopathy Questionnaire Overall Summary score was significantly smaller in the Taf/Taf vs Pbo/Taf group at most LTE study visits. Treatment-related adverse events occurred in 11.2% of the Taf/Taf and 23.2% of the Pbo/Taf groups during the LTE study and were consistent with the known safety profile of tafamidis. Conclusions With up to 7.5 years of follow-up data, this analysis of ATTR-ACT trial and its LTE study is the longest reported to date for an ATTR-CM population treated with disease-modifying therapy. Findings demonstrate better long-term outcomes including survival, hospitalisation rates, quality of life, and heart failure symptoms with long-term tafamidis treatment. For image description, please refer to the figure legend and surrounding text.

Abstract The therapeutic landscape for systemic immunoglobulin light chain (AL) amyloidosis has been revolutionized by daratumumab-based regimens, achieving 76% 5-year overall survival in the landmark ANDROMEDA trial. However, the current prognostic models were developed using patient populations treated with now-suboptimal therapies, creating a critical gap between risk stratification models and contemporary outcomes. This comprehensive review analyzes prognostic factors and progression biomarkers in AL, categorizing them into disease-specific (clone-related and organ-related) and patient-specific factors. Notably, traditional baseline biomarkers including difference between involved and uninvolved free light chains and bone marrow plasma cell burden are losing prognostic significance with effective clone-directed therapies. Emerging approaches show promise, including dynamic markers such as minimal residual disease by free light chain mass spectrometry, cardiac imaging parameters such as global longitudinal strain, and functional measures. There is an urgent need for validation studies and prognostic model refinement to identify patients at high risk who may benefit from interventions beyond anti–plasma cell therapy.

Abstract Background The clinical efficacy of tafamidis in patients with transthyretin amyloid cardiomyopathy (ATTR-CM) was demonstrated during the phase 3, multinational, randomised, placebo-controlled Tafamidis in Transthyretin Cardiomyopathy Clinical Trial (ATTR-ACT).(1) In ATTR-ACT, the risk of any cardiovascular (CV)-related hospitalisation was significantly reduced among patients who received tafamidis meglumine 80 mg (the approved dose) vs placebo (relative risk ratio 0.70 [95% CI 0.57, 0.85]; P=0.0005).(2) The benefit of tafamidis treatment was largest among patients with New York Heart Association (NYHA) class I/II vs III symptoms at baseline.(1,3,4) Purpose ATTR-CM is a progressive disease with a natural history that typically includes an increasing frequency of CV-related hospitalisation as the condition worsens. This post hoc analysis adds to current knowledge by evaluating the risk of recurrent (≥1) CV-related hospitalisation by baseline NYHA class in ATTR-ACT patients taking the approved dose of tafamidis or placebo. Methods Patients aged 18 to 90 years with biopsy-confirmed wild-type or variant ATTR-CM and NYHA class I-III symptoms took part in ATTR-ACT between 2013 and 2018. During the trial, the cause of hospitalisation was adjudicated by an independent committee. The hazard ratio (HR) for first CV-related hospitalisation was calculated using a Cox proportional hazards model. The HR for recurrent CV-related hospitalisation was calculated using the Liu-Wei-Yang-Ying (LWYY; also known as the modified Anderson-Gill) model. Models compared tafamidis meglumine 80 mg vs placebo and adjusted for transthyretin genotype (wild-type or variant). In the overall population, the LWYY model was also adjusted for baseline NYHA class. Results The frequency of adjudicated CV-related hospitalisations during ATTR-ACT by NYHA class are shown in the Figure. Across patients who were NYHA class I-III at baseline, the risk of recurrent CV-related hospitalisation was 37% lower in those who received tafamidis vs placebo treatment (HR 0.627 [95% CI 0.463, 0.848]; P=0.0025; Table). Among those who were NYHA class I/II at baseline, a lower proportion of tafamidis- vs placebo-treated patients (44% vs 61%) had ≥1 CV-related hospitalisation. The risks of first and recurrent CV-related hospitalisation were 40% (HR 0.601 [95% CI 0.420, 0.861]; P=0.0055) and 55% (HR 0.449 [95% CI 0.305, 0.661]; P<0.0001) lower with tafamidis vs placebo treatment. Consistent with the survivor bias previously observed in ATTR-ACT,(1-4) the risk of recurrent CV-related hospitalisation was statistically similar in tafamidis- and placebo-treated patients who were NYHA class III at baseline (HR 1.113 [95% CI 0.688, 1.799]; P=0.6624). Conclusions Building on previous findings, this analysis found the risk of recurrent CV-related hospitalisation to be reduced by tafamidis meglumine 80 mg treatment in patients with early stage ATTR-CM.

Importance Transthyretin amyloid cardiomyopathy (ATTR-CM) is underdiagnosed despite expanding treatment options. Objective To develop and evaluate an artificial intelligence (AI)–augmented clinical program for ATTR-CM detection. Design, Setting, and Participants This nonrandomized clinical trial involved constructing an AI model, ATTRACTnet, using electrocardiogram waveforms, echocardiographic measurements, demographics, and diagnosis codes for orthopedic manifestations of amyloidosis. A single-system, multisite, single-arm, open-label trial was conducted to evaluate its real-world performance. The model was trained and validated at a large academic referral site for ATTR-CM with external validation at an academic site. The trial was conducted as a single-system, multisite trial. Patients with left ventricular (LV) wall thickness 12 mm or more and an ATTRACTnet score 0.5 or higher were eligible. Exclusions included prior ATTR-CM testing, hypertrophic cardiomyopathy, expected life span less than 1 year, nursing home residence, advanced dementia, or LV wall thickness less than 14 mm explained by uncontrolled hypertension or moderate/severe aortic stenosis. Intervention Eligible patients were notified and offered nuclear scintigraphy testing, monoclonal protein testing, and follow-up care on agreement from the treating physician. Main Outcomes and Measure The primary outcome was a diagnosis of ATTR-CM by consensus criteria. ATTR-CM testing positivity was compared with historical and contemporary controls. Results ATTRACTnet was developed in an internal test set of 799 patients (mean [SD] age, 75.1 [11.1] years; 516 [64.7%] male and 283 [35.3%] female) using 5-fold cross-validation with an additional external test set of 422 patients. It had good discrimination for ATTR-CM detection with an area under the receiver operator characteristic curve of 0.85 (5-fold cross-validation, 0.77-0.85) in the internal set and 0.82 (95% CI, .81-0.83) in the external test set with similar performance in Hispanic, non-Hispanic Black, and non-Hispanic White patients. A total of 1471 patients were identified with positive AI model scores 0.5 or more during the study period, with 256 eligible patients who met study criteria. Of these patients, 50 underwent amyloidosis testing after physician and patient approval; 24 (48%) were diagnosed with ATTR-CM, and 21 (88%) initiated treatment within 3 months. The positivity rate was more than 2.8 times higher than historical controls (15.3%; 95% CI, 13.1%-17.9%; P < .001), with an 18% relative increase in new diagnoses vs the prior year. Conclusions and Relevance AI-augmented screening may improve ATTR-CM detection and identify patients who are missed by usual care. Prospective randomized trials are needed to determine if outcomes are improved. Trial Registration ClinicalTrials.gov Identifier: NCT06469372

Nonspecific symptoms and other diagnostic challenges lead to underdiagnosis of cardiac amyloidosis (CA). Artificial intelligence (AI) could help address these challenges, but a summary of the performance of these tools is lacking. This narrative review of published literature describes the performance of AI tools that use data from ECGs and echocardiography to improve identification of CA and challenges that hinder adoption of these tools. Thirteen studies met inclusion criteria with sample sizes ranging from 50 to 2451 patients. Four studies used ECG data, 8 used echocardiography data, and 1 used both. The CA gold standard was typically defined as a CA diagnosis in an institutional or other database but the requirements for these diagnoses were heterogenous across studies, and many did not distinguish among CA subtypes. AI model development varied considerably, and only 4 studies included external validation. The ability of models to predict CA ranged from 0.71 to 1.00, sensitivity ranged from 16% to 100%, and specificity from 75% to 100%. Only 1 study reported model performance across strata of sex, age, race, and CA type. Persistent challenges to AI adoption include usability, cost, value added, electronic health record/information technology interoperability, patient‐related factors, regulation, and privacy and liability. Published studies on AI for improved identification of CA show favorable performance measures but numerous methodologic and other challenges must be addressed before these tools are more widely adopted.

Disease-modifying therapies in both light chain and transthyretin amyloidosis have improved patient functional status and survival. Conceivably, as heart failure may progress despite amyloid therapies, more patients may be considered for heart transplantation. In earlier eras, extra-cardiac amyloid deposits significantly reduced post-heart transplant patient survival and functional status compared to the non-amyloid population. In the modern era, transplant centres have reported improved outcomes in amyloidosis as patient selection has grown more stringent. Importantly, systematic candidate evaluation should assess the degree of extra-cardiac involvement, the effectiveness of disease-modifying therapies and downstream effects on patients’ nutrition and frailty. This review outlines such an overall approach while also considering that organ-specific selection criteria may vary between individual transplant centres. A methodical approach to patient evaluation will promote better understanding of the prevalence and severity of extra-cardiac disease in amyloidosis patients referred for heart transplantation and of any disparities in decision outcomes in this population.

PURPOSE Binary cardiac response assessment using cardiac biomarkers is prognostic in light chain amyloidosis. Previous studies suggested four-level cardiac responses using N-terminal prohormone of brain natiuretic peptide improves prognostic prediction. This study was designed to validate graded cardiac response criteria using N-terminal prohormone of brain natiuretic peptide/brain natiuretic peptide. PATIENTS AND METHODS This retrospective, multicenter study included patients with light chain amyloidosis who achieved at least a hematologic partial response (PR) and were evaluable for cardiac response. Four response criteria were tested on the basis of natriuretic peptide response depth: cardiac complete response (CarCR), cardiac very good partial response (CarVGPR), cardiac PR (CarPR), and cardiac no response (CarNR). Response was classified as best response and at fixed time points (6, 12, and 24 months from therapy initiation). The study primary outcome was overall survival. RESULTS 651 patients were included. Best CarCR, CarVGPR, CarPR, and CarNR were achieved in 16%, 26.4%, 22.9%, and 34.7% of patients, respectively. Patients in cardiac stage II were more likely to achieve CarCR than patients in cardiac stage IIIA and IIIB (22% v 13.5% v 3.2%; P < .001). A deeper cardiac response was associated with a longer survival (5-year overall survival 93%, 79%, 65%, and 33% for CarCR, CarVGPR, CarPR, and CarNR, respectively; P < .001). Fixed time-point analyses and time-varying covariates Cox regression analysis, to minimize survivorship bias, affirmed the independent survival advantage of deeper cardiac responses. Four-level response performed better than two-level response as early as 12 months from therapy initiation. CONCLUSION Graded cardiac response criteria allow better assessment of cardiac improvement compared with the traditional binary response system. The study re-emphasizes the importance of early diagnosis, which increases the likelihood of deep cardiac responses.