Brailovsky, Yevgeniy

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.

Background: Cardiac amyloidosis (CA) in conjunction with atrial fibrillation (AF) presents unique management challenges. CHA2DS2VASc score in these patients is believed to underestimate the risk of ischemic stroke, necessitating a better predictive model in these patients. Methods: Data was obtained from the National Readmission Database (NRD). Outcomes between CA-AF and no-CA-AF were compared using multivariate regression analysis to calculate adjusted odds ratios (aOR). AutoScore; an interpretable machine learning framework, was used to develop a stroke risk prediction model, the predictive accuracy of which was evaluated with an area under the curve (AUC) using the receiver operating characteristic analysis. Results: A total of 11,860,804 (CA-AF 22,687 [0.19%] and no-CA-AF 11,838,117) patients were identified from 2015-2019. The adjusted odds of mortality (aOR 1.41 and 1.29), stroke (aOR 1.78 and 1.74), non-intracranial hemorrhage (aOR 2.10 and aOR 1.85), and intracranial hemorrhage (aOR 14.4 and aOR 4.26) were significantly higher in CA-AF compared with non-CA-AF at both index admission and 30-days, respectively. The CHA 2 DS 2 VASc score had a poor discriminative accuracy for stroke at 30-days in CA-AF (AUC 49%, 95%CI 47%-51%, p=0.54). The machine learning autoscore integrative model revealed that the predictive ability of our newly proposed E-CHADS score (end-stage renal disease (ESRD), congestive heart failure, hypertension, active cancer, dementia, and diabetes mellitus) for 30-day risk of ischemic stroke in CA-AF was excellent (for a cutoff of 52 points random forest score) with an AUC of 80% (95%CI 74%-86%) Conclusion: Cardiac amyloidosis carries a high risk of ischemic stroke that is not accurately predicted by the CHA 2 DS 2 VASc score. Our proposed model (E-CHADS) identifies 3 new variables (ESRD, dementia, and cancer) that have higher discriminative accuracy for ischemic stroke in these patients.

Catheter-directed thrombolysis (CDT) is being increasingly used for the treatment of proximal lower extremity (LE) deep venous thrombosis (DVT). However, sex differences in utilization and safety outcomes of CDT in these patients are unknown. The Nationwide Inpatient Sample (NIS) database was used to identify all patients with a principal discharge diagnosis of proximal LE or caval DVT who underwent CDT between January 2005 and December 2011 in the United States. We evaluated the comparative safety outcomes of CDT among a propensity-matched group of 1731 men versus 1731 women. Among 108,243 patients with proximal LE or caval DVT, 4826 patients (4.5%) underwent CDT. Overall, women underwent CDT less often compared to men (4.1% vs 4.9%, p<0.01, respectively). The rates of CDT increased between 2005 and 2011 for both women (2.1% to 5.9%, p<0.01) and men (2.5% to 7.5%, p<0.01). There was no significant difference in in-hospital mortality (1.2% vs 1.3%, p=0.76). Women were noted to have higher rates of blood transfusions (11.7% vs 8.8%, p<0.01), but lower rates of intracranial hemorrhage (0.5% vs 1.2%, p=0.03) and gastrointestinal bleeding (0.9% vs 2.2%, p<0.01) compared with men. Women were more likely to undergo inferior vena cava filter placement (37.0% vs 32.1%, p<0.01). In this large nationwide cohort, women with proximal DVT were less likely to receive CDT compared to men. Although mortality rates were similar, women were noted to have higher blood transfusion rates while men had more episodes of intracranial and gastrointestinal bleeding.