Boilson, Barry A.

Abstract Background AL amyloidosis and multiple myeloma are plasma cell dyscrasias characterized by excess light-chain production leading to cardiac amyloid deposition and organ dysfunction. While effective, proteasome inhibitor–based therapy and stem cell transplantation are often limited in advanced disease. Daratumumab provides durable and well-tolerated plasma cell suppression and enables assessment of long-term cardiac outcomes. Purpose To evaluate the long-term effects of daratumumab therapy on cardiac biomarkers and myocardial amyloid burden, assessed by artificial intelligence- based electrocardiographic (AI-ECG) and echocardiographic measures, in patients with AL amyloidosis and cardiac involvement. Methods Following IRB approval, we conducted a retrospective review of patients with AL amyloidosis and cardiac involvement treated with daratumumab at Mayo Clinic Rochester since 2015, with a minimum follow-up of 6 months. Demographic, clinical, cardiac biomarker, electrocardiographic, and echocardiographic data were collected at baseline and last follow-up. Paired comparisons were performed using the Wilcoxon signed-rank test. Results Overall, 67 patients with AL amyloidosis were included (mean age at diagnosis 59 ± 10 years; 47 [70%] male; concomitant multiple myeloma 13 (19%) patients, mean left ventricular ejection fraction 61 ± 7%), with a mean follow-up duration of 8.3 ± 5.4 years. At diagnosis, the most common organ involvements were renal and cardiac, affecting 78% and 67% of patients, respectively. Free light-chain isotype was λ in 52 patients (75%) and κ in 17 (25%) and immunoglobulin heavy-chain was identified in 26 patients. Among patients with available baseline staging data, Mayo Clinic revised cardiac staging (2012) classified 32% as stage I, 14% as stage II, 21% as stage III, and 32% as stage IV. Most patients were NYHA class II (62%), with 27% in class III–IV. Baseline creatinine clearance <60 ml/min was observed in 48% of patients. No significant changes were observed in conventional echocardiographic parameters during follow-up. In contrast, cardiac biomarkers improved significantly with high-sensitivity troponin T decreased from a baseline median of 59 [25, 104.5] ng/L to 30.5 [14.5, 58.75] ng/L at follow-up (p = 0.003), and NT-proBNP declined from 1,053 [423.5, 6,211.5] pg/mL to 729 [299, 2,328] pg/mL (p = 0.02). Interestingly, artificial intelligence–based electrocardiographic analysis demonstrated a marked reduction in the predicted likelihood of cardiac amyloidosis, decreasing from 55.8% [5.1, 99.6] at baseline to 19.3% [4.3, 68.4] at follow-up (p < 0.0001). Conclusions Long-term daratumumab therapy was associated with significant reductions in cardiac biomarkers and AI-ECG derived measures of myocardial amyloid burden. These findings support the hypothesis that sustained suppression of pathogenic light-chain production may permit gradual improvement in amyloid cardiomyopathy over time.

Left ventricular assist device (LVAD) thrombosis typically presents late and may have devastating consequences for patients. While LVAD pump thrombosis is uncommon with current pump designs, many patients worldwide remain supported with previous generations of LVADs, including the HeartWare device (HVAD). Researchers have focused on investigating the acoustic signatures of LVADs to enable earlier detection and treatment of this condition. This study explored the use of machine learning algorithms to predict thrombosis from harmonic power values determined from the acoustic signatures of a cohort of HVAD patients (n = 11). The current dataset was too small to develop a predictive model for new data, but exhaustive cross validation indicated that machine learning models using the first two or the first three harmonic power values both resulted in reasonable prediction accuracy of the thrombosis outcome. Furthermore, when principal component analysis (PCA) was applied to the harmonic power variables from these promising models, the use of the resulting PCA variables in machine learning models further increased the thrombosis outcome prediction accuracy. K-nearest neighbor (KNN) models gave the best predictive accuracy for this dataset. Future work with a larger HVAD recording dataset is necessary to develop a truly predictive model of HVAD thrombosis. Such a predictive model would provide clinicians with a marker to detect HVAD thrombosis based directly on pump performance, to be used along with current clinical markers.

AbstractBackgroundThe prognosis in patients with advanced cardiac amyloidosis (CA) remains poor.ObjectivesWe sought to describe survival post heart transplantation (HT) in amyloid compared with non‐amyloid recipients, highlight waitlist times within the new allocation system across three Organ Procurement and Transplantation Network (OPTN) regions, and describe multiorgan transplantation (MOT) in hereditary amyloidosis.MethodsThis is a retrospective review of end‐stage CA patients who underwent HT at Mayo Clinic from January 2007 to December 2020. Wait time was compared in the new versus old OPTN allocation era starting December 18, 2018 by Wilcoxon rank sum test. All‐cause mortality for those with and without CA was compared using Kaplan–Meier estimates with log rank analysis, censoring December 16, 2022.ResultsFifty‐five patients with CA underwent HT between 2007 and 2020, 8 light chain amyloidosis (AL) (14.5%), 28 hereditary transthyretin (ATTRv) (50.9%), 17 wildtype transthyretin (ATTRwt) (30.9%), and 2 hereditary apolipoprotein A1 (AApoA1) amyloidosis patients (3.6%). No significant difference in overall survival post‐transplant was seen in amyloid compared with non‐amyloid (p = 0.816). Median time to HT was shorter in the new system, 45 days (IQR 24, 78) versus 174 days (IQR 76.5, 483.5), p = 0.006. There was a decline in MOT in hereditary amyloidosis over time with the concomitant rise in disease‐targeted therapies.ConclusionsHT survival in CA patients was similar to non‐amyloid patients. The new allocation system benefits this cohort with shorter wait times. There is less MOT in hereditary amyloidosis with increased utilization of disease‐targeted therapy.

Background: Left ventricle assist device (LVAD) support, a well established therapy in advanced CHF, improves renal function assessed by creatinine. While renal function in large numbers of continuous flow (CF) LVADs vs pulsatile flow (PF) LVADs has been evaluated at 3 mo., long term studies are needed with large numbers of CF vs PF devices. To date longer term analysis comparing renal function in CF vs PF devices have relied on a small number of CF devices. We evaluated renal function assessed by creatinine in a large number of CF (HM II) (n=119) devices and compared this to renal function in a group of subjects treated with PF devices (HM XVE) (n=8) at 6 mo. post implant. Our aim was to evaluate change in creatinine between 3 and 6 months in these groups. Methods and Results: Plasma creatinine was evaluated at 3 and 6 months in two groups: subjects with CF HM II (n=119) and PF LVAD (HM XVE, n=8). The data were collected from two centers in patients undergoing implant for destination or bridge to transplant therapy. Baseline creatinine was higher in the HM XVE group at baseline (BL), and decreased at 3 mo. (1.7 [1.1-2.1] vs 1.1 [0.8-1.5] mg/dL, p<0.05). BL creatine in the HM II group decreased at 3 mo as well (1.2 [1-1.5] vs 1.1 [0.9-1.3] mg/dL, p,0.05). Between 3 and 6 months there was no difference in degree of creatinine change in CF vs PF, however both groups had an increase in Creatinine in this time frame: PF (1.1 [0.8-1.5] vs 1.35 [1.05-1.9] mg/dL, p<0.05); CF (1.1 [0.9-1.3] vs 1.2 [0.92-1.4] mg/dL, p<0.05). Conclusion: This is the first study to demonstrate with large numbers of CF LVAD that creatinine does not incrementally increase between 3 and 6 mo. in comparison to PF LVAD. Further studies are required with large numbers of continuos flow LVADs evaluating the comparative effect of long term continuous flow vs pulsatile flow. Additionally, it remains important to identify surrogates of pulsatility in subjects with continuous flow devices and evaluate prognostic impact on renal function long term.

BACKGROUND: The immunologic risk associated with preformed donor-specific allo-antibodies (DSA) against human leukocyte antigens (HLA) in heart transplant (HTX) recipients is unclear. The goal of this study was to evaluate potential role of DSA on the progression of cardiac allograft vasculopathy (CAV) in HTX recipients. METHODS: The presence of DSA against HLA was evaluated using solid phase Single Antigen Bead assay (One Lambda, Inc., Canoga Park, CA; Luminex platform) before transplant in 35 HTX recipients. Using alloantibody specification analysis, 11% (4/35) and 20% (7/35) had DSA against donor Class I and II HLA respectively including the one patient who had both (DSA I & II+) . 71% (25/35) of patients had no demonstrable DSA (DSA-). All patients had negative cytotoxicity cross match. Baseline three-dimensional intravascular ultrasound studies (3D IVUS) were performed at 1.0 [0.18, 1.4] year after transplant. Follow up 3D IVUS exams were performed 0.92 [0.85, 1.04] years after the baseline exam. RESULTS: The increase in mean plaque (media and intima) volume (PV) was accelerated in the DSA II+ group as compared to the DSA- group (0.87±1.9 mm (3)/mm vs. 0.16±1.8 mm (3)/mm) but the vessel volume index (follow up vessel volume/ baseline vessel volume) was similar between groups (1.08±0.5 vs. 1.09± 0.4; p=0.9). Plaque index (PI) (PV/vessel volume x 100 [%]) increased significantly in the DSA II+ group (17.9±6.3%) but not in the DSA- group (-13.6±13.2%, P=0.02). None of these values were significant in the DSA I+ only group. Treatment with Sirolimus did not affect PI progression between the DSA II+ and DSA- groups (PI progression: 15.9±8.7% vs. -11.7±7.1%, P=0.03). Age, gender, lipid and uric acid levels, prevalence of diabetes, ischemic time, time between IVUS examinations, the use of steroids, mycophenolate vs. azathioprine or calcineurin inhibitors vs. sirolimus were not different between the groups (P>0.4 for all). CONCLUSIONS: Heart transplant recipients with clearly defined anti-Class II DSA are at risk for accelerated cardiac allograft vasculopathy. Whether interventions to minimize the risk of DSA such as virtual crossmatch, desensitization and complement inhibition will retard CAV remains to be proven.

The literature regarding Clostridioides difficile infection (CDI) in left ventricular assist devices (LVADs) patients is limited. Therefore, we aimed to characterize the clinical course, risk factors, management, and outcomes of LVAD patients who developed CDI. Adult patients who underwent LVAD placement during 2010–2022 and developed CDI were included. To determine risk factors and outcomes, we matched CDI patients with LVAD patients who did not develop CDI. Each CDI case was matched with up to two control subjects by age, sex, and time from LVAD implantation. Forty-seven of 393 LVAD patients (12.0%) developed CDI. The median time from LVAD implantation to CDI was 147 days (interquartile range 22.5–647.0). The most common CDI treatment was oral vancomycin (n = 26, 55.3%). Thirteen patients (27.7%) required treatment extension because of a lack of clinical response. Three patients (6.4%) developed recurrent CDI. When 42 cases were matched to 79 control subjects, antibiotic exposure within 90 days was significantly associated with CDI (adjusted odds ratio 5.77; 95% confidence interval, 1.87–17.74; p = 0.002). Moreover, CDI was associated with 1 year mortality (adjusted hazard ratio 2.62; 95% confidence interval, 1.18–5.82; p = 0.018). This infection occurs most often within the first year after LVAD implantation and was associated with 1 year mortality. Antibiotic exposure is an important risk for CDI.