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Abstract Background Accurate diagnosis and risk stratification in myeloproliferative neoplasms (MPNs) rely on expert interpretation of complex clinical records. Outside major academic centers, specialist expertise is scarce, and time-consuming chart reviews extend clinic visits and delay treatment decisions, underscoring the need for automated, point-of-care phenotyping for MPN patients. Methods Patients with the ICD codes of PV, ET and MF were identified from the electronic health record. Cases were defined as patients meeting the 2017 WHO diagnostic criteria for PV, ET or MF or those with a definitive MPN diagnosis determined by a hematologist. Controls were the patients who met neither the diagnostic criteria nor had a hematologist-assigned diagnosis. Two clinicians extracted demographic, clinical (symptoms, thrombotic history), laboratory (complete blood count, serum chemistry), genetic (mutations, karyotype), bone marrow morphology, diagnostic mentions and prognostic score information from unstructured clinical notes and pathology reports. Prognostic scores included the conventional risk model for PV, the International Prognostic Score of Thrombosis (IPSET) for ET and the Dynamic International Prognostic Scoring System (DIPSS), DIPSS-plus or Mutation-enhanced International Prognostic Scoring System (MIPSS-70) for MF. Discrepancies in data extraction were resolved by a consensus. A random sample of 510 patients (PV: 85, ET: 85, MF: 85, controls: 255) was split into prompt development (n=60) and test (n=450) sets for iterative workflow engineering and evaluation. The workflow included: (i) a rule-based algorithm for automated retrieval of demographic details, the first bone marrow biopsy report, the first clinical note after biopsy and the latest laboratory results within 90 days preceding biopsy (ii) a HIPAA-compliant LLM (GPT-4 turbo) for data extraction from the clinical notes and pathology reports (iii) a regular expressions-based algorithm for post-processing extracted data into structured tables, (iv) a clinician-informed source prioritization algorithm to select data from preferred sources, (v) a modified WHO-informed diagnostic characterization tool incorporating hematologist-assigned diagnoses to distinguish cases from controls and; (vi) an NCCN guidelines-based algorithm for prognostic tool selection and risk-stratification based on available data. Structured prompts were used to extract demographic, clinical, laboratory, genetic and pathological data in a zero-shot deterministic setting. The performance of automated data extraction, diagnostic characterization and prognostication was compared against the manually curated data. Accuracy and F1 scores were computed for data extraction and prognostication tasks while sensitivity and specificity were calculated to assess diagnostic performance. Results A total of 450 (PV: 150, ET: 150, MF: 150) pathology reports and 50 (PV: 52, ET: 55; MF: 65) clinical notes were identified for 450 test set patients. The test set data extraction accuracy was 95% (reports: 97%, notes: 92%) for PV, 93% (reports: 92%, notes: 94%) for ET and 98% (reports: 99%, notes 97%) for MF. The test set F1 score was 0.95 (reports: 0.96, notes: 0.93) for PV, 0.95 (reports: 0.95, notes: 0.96) for ET and 0.98 (reports: 0.99, notes: 0.97) for MF. PV patients were diagnosed with 100% sensitivity and 98% specificity whereas ET and MF patients were diagnosed with 100% sensitivity and specificity. The accuracy of risk stratification was 100% for PV and ET and 94% for MF. The F1 score for risk stratification was 1.00 for PV and ET and 0.94 for MF. Conclusions The first-in-class automated framework successfully identified pertinent clinical information, performed accurate data extraction from unstructured records and enabled clinician-guided source prioritization for accurate diagnosis and risk stratification of MPN patients. Prospective validation of the framework is required for widespread clinical implementation.

Abstract Background: Chemotherapy-induced cardiomyopathy (CIC) is a serious, and often irreversible complication in patients treated for hematologic malignancies. While therapies for hematologic malignancies continue to evolve, data on trends in in-hospital mortality among patients with concurrent hematologic malignancies and CIC are limited, and disparities by race and sex remain poorly characterized. This study examines national trends and demographic disparities in in-hospital mortality among patients with hematologic malignancies who developed CIC. Methods: The United States (U.S) National Inpatient Sample (NIS) from 2016 to 2020 was queried for patients diagnosed with malignant hematologic and lymphoid neoplasms who also developed CIC. Hematologic malignancies were identified using ICD-10 codes C81–C96, which include: C81 for Hodgkin lymphoma; C82–C86 for non-Hodgkin lymphomas; C88 for malignant immunoproliferative diseases (e.g., Waldenström macroglobulinemia, heavy chain disease); C90–C95 for leukemias of lymphoid, myeloid, monocytic, mixed, and unspecified cell types; and C96 for other or unspecified malignant neoplasms of lymphoid, hematopoietic, and related tissue. CIC was identified using ICD-10 code I42.7. The study was exempt from institutional review board approval as the NIS database contains deidentified patient information. Multivariable regression analysis was performed to determine the odds of in-hospital mortality among patients with hematologic malignancies who developed CIC. Multivariable logistic regression followed by marginal effects was used to plot yearly trends in in-hospital mortality. All the outcomes were adjusted for gender, race, Charlson comorbidity index and hospital characteristics. P < 0.05 was used to determine statistical significance. The analysis was performed on STATA 16 software. Results: The study identified a total of 3,021,434 hospitalizations with hematologic malignancies, of which 11,115 (0.004%) had secondary diagnosis of CIC (mean age = 56.5 years, 52.5% males). Among 11,115 patients with hematologic malignancies who developed CIC, 740 (6.6%) patients died during the hospitalization. Multivariable logistic regression followed by marginal effects estimated a decrease in adjusted in-hospital mortality trend from 6.5% in 2016 to 4.3% in 2020. However, this decreasing mortality trend was not statistically significant after adjusting for gender, race, Charlson comorbidity index, and hospital characteristics (OR: 0.93; 95% CI: 0.83 – 1.05; trend p = 0.260). In-hospital mortality did not differ significantly between male vs. female patients with hematologic malignancies who developed CIC (OR: 1.02; 95% CI: 0.72 – 1.43; p = 0.921). There was no difference in overall in-hospital mortality of patients of White (reference) vs. Black (OR: 1.12; 95% CI: 0.72 – 1.76, p = 0.61) or Hispanic (OR: 0.63; 95% CI: 0.32 – 1.25, p = 0.18) race. However, males of the Black race demonstrated a lower in-hospital mortality vs. males of the White race (OR: 0.26; 95% CI: 0.09 – 0.77, p = 0.01). In addition, females of the Black race showed a higher in-hospital mortality vs. females of the White race (OR: 2.43; 95% CI: 1.40 – 4.25, p <0.01). Conclusions: In patients with hematologic malignancies who developed CIC, overall in-hospital mortality did not differ significantly by race alone. However, on sex-based stratification, Black males had lower in-hospital mortality compared to White males, while Black females had higher mortality than White females. These differences highlight potential race–sex disparities in outcomes that warrant further investigation.

Abstract Background In patients with myelofibrosis (MF) undergoing allogeneic hematopoietic cell transplantation (allo-HCT), graft-versus-host disease (GVHD) prophylaxis has traditionally included a calcineurin inhibitor (CNI) plus methotrexate (MTX). We conducted a retrospective study comparing the safety and efficacy of post-transplant cyclophosphamide (PTCy)-based GVHD prophylaxis to CNI-based regimens. Methods This study was approved by the Mayo Clinic IRB. Patients with myelofibrosis who underwent allo-HCT after 2016 at Mayo Clinic in Arizona and Florida were included. Categorical variables were compared using Chi-square or Fisher's exact tests. Overall survival (OS) was defined from transplant to death, and progression-free survival (PFS) from transplant to relapse or death. OS and PFS were estimated using Kaplan-Meier methods; univariate differences were assessed with log-rank tests. The cumulative incidence of acute and chronic GVHD and time to neutrophil and platelet engraftment were analyzed using competing risk models, with death as a competing event; differences were tested using Gray's test. Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs). Results A total of 110 patients were included. 53 patients received PTCy-based prophylaxis (43 PTCy/Tac/MMF, 1 PTCy/CSA/MMF, 9 PTCy/Siro/MMF), while 57 received non-PTCy regimens (54 Tac/MTX +/- 39 T-cell depletion, 2 CSA/MMF, 1 Tac/MMF). Median age at transplant was 63 (range: PTCy 40-76; others 38-74) years in both groups; 59 were male (58.5% PTCy vs 49.1% others). Median Karnofsky Performance Status (KPS) and HCT–Comorbidity Index (HCT-CI) in patients receiving PTCy vs non-PTCy were 90 vs 80 and 1 vs 3, respectively. Conditioning intensity was similar: 22.6% myeloablative vs 21.7%, and 77.4% reduced-intensity vs 76.7% in PTCy and non-PTCy, respectively (p=1.000). Stem cell source was peripheral blood in all patients except one in the non-PTCy group who received bone marrow. 58 patients had primary MF (54.7% PTCy vs 50.9% others), and 52 had secondary MF (45.3% PTCy vs 49.1% others), including essential thrombocythemia (28.3% PTCy vs 31.6% others), polycythemia vera (17.0% vs 15.8%), and MPN-NOS (0% vs 1.8%). Median follow-up was 26.2 months (95% CI: 20.7-52.7) in the PTCy and 60.6 months (95% CI: 53.1-70.6) in the non-PTCy cohort. CD3 and CD33 donor chimerism ≥95% at day +100 was 66.7% and 86.7% in PTCy vs 63.6% and 92.7% in others, respectively (p=0.50); day +100 driver molecular mutations were present in 32.1% of PTCy and 32.0% of others (p>0.99). Rates of acute GVHD grades ≥2 and ≥3 were not statistically significant, in the PTCy group (37.7% vs 49.1% p=0.229 and 17.0% vs 22.8% p=0.445, respectively). Chronic GVHD (any grade) occurred in 42.3% of PTCy vs 38.2% of others (p=0.664), while moderate-to-severe cGVHD was lower with PTCy (21.2% vs 27.3% p=0.461). Platelet engraftment was significantly delayed in the PTCy group (median 33 vs 21 days, p=0.030). Median time to neutrophil engraftment was also delayed in the PTCy group (20 vs 17 days, adjusted p=0.025). Age-adjusted HR for time to platelet engraftment was 0.60 (95% CI: 0.41–0.90; p=0.014), and for neutrophil engraftment 0.65 (95% CI: 0.44–0.95; p=0.025), indicating significantly delayed hematopoietic recovery with PTCy. Graft failure occurred in 9.4% vs 5.3% (p = 0.48); primary 7.5% vs 3.5%, secondary 1.9% vs 1.8% in PTCy vs non-PTCy groups, respectively. Relapse or progression occurred in 11.3% of PTCy vs 17.5% of others (p=0.355); four patients in the non-PTCy group progressed to AML post-transplant, versus none in the PTCy group (p=0.119). 1-year TRM was 22.6% in the PTCy group and 14.0% in the non-PTCy group, p = 0.324. Median OS was 72.8 months in the PTCy group (95% CI: 49.9 months, upper limit not estimable [NE]) and 93.4 months in the non-PTCy group (95% CI: 48.5 months, upper limit NE), although the difference was not statistically significant (p=0.739). After adjusting for age and HCT-CI, there were no significant differences in PFS (adjusted HR 1.37; 95% CI: 0.73–2.56; p=0.331) or OS (adjusted HR 1.27; 95% CI: 0.64–2.51; p=0.498). Conclusions In myelofibrosis patients undergoing allo-HCT, PTCy-based GVHD prophylaxis showed similar rates of grade ≥2 acute and moderate-severe chronic GVHD compared to non-PTCy regimens. Engraftment was significantly delayed, while OS and PFS were comparable. PTCy appears to be a safe and viable alternative to CNI-based prophylaxis.

Background: Heart failure (HF) continues to be a major cause of morbidity and mortality worldwide, placing a significant burden on healthcare systems. Differences in the outcomes of HF hospitalizations for adults in teaching vs. non-teaching hospitals in urban settings are uncertain. Research Question: Do outcomes of HF hospitalizations differ between patients hospitalized in urban teaching vs. non-teaching hospitals in the United States? Methods: HF hospitalizations were abstracted from the 2016 through 2022 Nationwide Readmissions Database and stratified into urban teaching vs. urban non-teaching hospital settings. Propensity-score matching was used to control for baseline differences between teaching and non-teaching hospital cohorts. Logistic regression and lognormal models were estimated to assess differences in inpatient mortality, length of stay (LOS), total costs, complications, and 30-day and 90-day all-cause readmissions. Odds ratios (OR) with associated 95% Confidence intervals (CI) and p-values were reported. Analyses were conducted via SAS v. 9.4. Results: A total of 7,558,299 weighted HF hospitalizations were included in the analysis, of which 76.3% involved urban teaching hospitalizations. Compared to urban non-teaching, HF hospitalizations in urban teaching hospitals were associated with higher odds of in-hospital mortality (OR 1.24, 95% CI:1.21-1.27); had higher complications, including cardiogenic shock (OR 2.58, 95% CI, 2.46, 2.70), cardiac arrest (OR 1.31, 95% CI, 1.27, 1.36), CPR (OR 1.28, 95% CI, 1.22, 1.34), and use of extracorporeal membrane oxygenation (OR 20.13, 95% CI, 13.0, 31.2), intra-aortic balloon pump (OR 4.46, 95% CI, 3.90, 5.10) and mechanical ventilation (OR 1.27, 95% CI, 1.23, 1.33); higher hospitalization cost (Ratio 1.18, 95% CI: 1.17,1.20), longer length of stay (OR 1.16, 95% CI: 1.15, 1.17) and a greater palliative care consultation rate (Ratio 1.35 (95% CI 1.30, 1.40) (all p<0.001) ( Figure 1 ). 30-day (OR 1.03, 95% CI: 1.02, 1.04) and 90-day (OR 1.05, 95% CI: 1.02, 1.07) all-cause readmission rates were also statistically higher (p<0.001), though the difference was clinically non-significant ( Figure 2 ). The home discharge rate was similar for teaching and non-teaching hospitals ( Figure 2 ). Conclusion: HF hospitalizations in urban teaching hospitals were associated with higher inpatient mortality, complication rates, resource utilization, and palliative care consult rates than urban non-teaching hospitals.

Background: Despite obesity being a major cardiovascular risk factor, studies in heart failure populations have reported an inverse association between body mass index and mortality—a phenomenon termed the "obesity paradox." However, the consistency and shape of this relationship across different HF phenotypes and clinical subgroups remain unclear. This meta-analysis aimed to quantify the dose-response relationship between BMI and mortality in HF patients and assess potential variations across subgroups. Hypothesis: Higher BMI is associated with reduced mortality in patients with heart failure, and that this relationship varies across clinical subgroups and U-shaped relationship. Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A search strategy was developed, and studies were extracted from Cochrane and PubMed databases through December 2023. The main outcomes were all-cause mortality, cardiovascular deaths, and heart failure hospitalizations. Data were summarized as hazard ratios with 95% confidence intervals, and a spline model was used to assess non-linear relationships, with 21.7 kg/m2 as the reference point in the dose-response curve. PROSPERO: CRD42023455124 Results: Thirty-three studies (457,124 person-years) showed that each 5 kg/m2 increase in BMI was significantly associated with a 6% reduction in all-cause mortality (HR 0.94; 95% CI 0.92–0.96). Significant reductions were observed in acute decompensated heart failure (7%), HFpEF (9%), HFrEF (8%), diabetes (9%), males (9%), and females (8%). Cardiovascular mortality declined by 5% per 5 kg/m2 increase. Non-linear analysis revealed a significant U-shaped relationship, with lowest all-cause mortality between BMI 21.7 and 39 kg/m2. Subgroup analysis showed significant non-linear all-cause mortality reductions in acute decompensated heart failure (23.5–26 kg/m2), HFpEF (21.7–31 kg/m2), HFrEF (21.7–43 kg/m2), females (24–25.5 kg/m2), diabetes (21.7–36 kg/m2), and non-diabetics (21.7–33 kg/m2). Conclusion: Higher BMI is significantly associated with lower all-cause and cardiovascular mortality in patients with heart failure, supporting the presence of an obesity paradox. This protective effect was consistent across clinical subgroups, including HFpEF, HFrEF, males, females, and individuals with diabetes. The BMI paradox was evident in patients with acute decompensated heart failure, HFpEF, HFrEF, females, and both with and without diabetes.

ABSTRACT Background Atrial fibrillation (AF) is a prevalent arrhythmia that frequently coexists with cardiomyopathy, leading to deteriorated cardiovascular outcomes. Analyzing the trends associated with these conditions is essential for improving prevention strategies and management practices. Methods CDC WONDER (1999–2023) data were analyzed to assess AF with cardiomyopathy‐related mortality in patients aged ≥ 25. Using Joinpoint regression analysis, we calculated age‐adjusted mortality rates (AAMRs) per 100,000 patients and average annual percentage changes (AAPCs) to analyze mortality trends. Results AF with cardiomyopathy is responsible for 126,377 deaths among adults aged 25 and older. Alarmingly, AAMRs have surged from 1.8 per 100,000 in 1999 to 3.0 in 2023 (AAPC: 2.11, p < 0.001). The upward trend remains pronounced, particularly between 2016 and 2021, with an annual percentage change of 6.17 ( p = 0.02). Disparities in mortality rates are striking. Men face a higher AAMR than women (3.1 vs. 1.5), and Black individuals bear the heaviest burden at 2.4, closely followed by Whites at 2.3. Regionally, Vermont stands out with the highest AAMR at 3.6, while New York reports the lowest at 1.3. Both rural and urban areas maintain equal AAMRs of 2.1, yet the increase in rural regions is particularly concerning, reflecting an AAPC of 2.44 compared to 1.78 in urban settings. Conclusion The rising mortality rates from AF with cardiomyopathy in patients, particularly among men, Black individuals, and rural residents, demand urgent action. These concerning trends underscore a public health crisis that must be addressed.

e20629 Background: Lung cancer (LC) and respiratory failure (RF) are major contributors to mortality in adults globally. Understanding long-term mortality trends across demographic, racial, geographic, and socio-economic groups is crucial to addressing disparities and improving outcomes. This study examines national mortality patterns for LC and RF in the United States from 1999 to 2023, providing critical insights into changes over time and identifying key disparities in age-adjusted mortality rates (AAMRs). Methods: A descriptive analysis of mortality data from the CDC WONDER database (1999-2023) identified deaths due to LC (ICD-10 code C34) and RF (ICD-10 code J96) in adults aged 25+. AAMRs per 100,000 population were calculated and stratified by gender, race/ethnicity, region, state, and urban-rural classification. Temporal trends were analyzed with Joinpoint regression to compute APCs and 95% CIs. Statistical significance was set at p<0.05. The study followed STROBE guidelines. Results: From 1999 to 2023, a total of 456,325 adult deaths (age 25-85+) were attributed to Lung cancer and Renal failure. Age-adjusted mortality rates (AAMRs) for lung cancer (LC) and respiratory failure (RF) decreased from 1999 to 2010 (APC = -1.2, 95% CI: -1.6 to -0.9), followed by an increase from 2010 to 2023 (APC = 1.4, 95% CI: 1.1 to 1.7). Gender trends revealed a steady decline for men, while women's Age-Adjusted Mortality Rates (AAMr) initially decreased, then increased from 2011-2023 (APC: 2.0, 95% CI: 1.7 to 2.5). Non-Hispanic White populations experienced a rapid increase in age-adjusted mortality rates from 2014 to 2017 (APC: 2.7; 95% CI: 0.9 to 3.3), while other racial/ethnic groups exhibited varied trends with declines, increases, and stabilizations. Geographically, AAMRs were highest in the Northeast (8.6; 95% CI: 8.5 to 8.7) and lowest in the Midwest (7.1; 95% CI: 7.0 to 7.1). Metropolitan areas saw declining trends until 2006, stabilizing briefly, and increasing thereafter. Non-metropolitan areas experienced notable increases post-2009 (APC = 2.3, 95% CI: 1.8 to 3.1). State-level disparities revealed Mississippi with the highest AAMR (14.0; 95% CI: 13.7 to 14.4) and Wisconsin with the lowest (3.7; 95% CI: 3.5 to 3.8). These findings highlight significant demographic, racial, and geographic variations in LC and RF mortality trends. Conclusions: LC and RF-related mortality rates initially declined from 1999 to 2010 but increased significantly from 2010 onward, with notable demographic, racial, and geographic disparities. These findings highlight the urgent need for targeted interventions and resource allocation to address these rising trends and reduce inequities across vulnerable populations.

e17089 Background: Prostate cancer (PC) is often treated with androgen-deprivation therapy (ADT), but progression remains a challenge. Darolutamide, a next-generation androgen receptor inhibitor, may improve outcomes when combined with ADT. This systematic review and meta-analysis evaluates the efficacy and safety of darolutamide plus ADT in hormone-sensitive (HSPC) and castration-resistant prostate cancer (CRPC). Methods: A comprehensive search of PubMed, Cochrane, Clinicaltrials.gov, Embase, and Scopus was conducted through January 11, 2025. Randomized controlled trials (RCTs) comparing darolutamide plus ADT vs. placebo or control in prostate cancer were included. Data on overall survival, metastatic progression, antineoplastic therapy initiation, pain progression, bone fractures, hypertension, adverse events and serious adverse events were analyzed. Outcomes were pooled as risk ratios (RR) with 95% confidence intervals (CI) using a random-effects model. Heterogeneity was assessed via Higgins I², with subgroup analyses for HSPC and CRPC. Results: Four RCTs with 4,992 patients (darolutamide + ADT=3007; control=1985) were further included for quantitative analysis. Our pooled analysis showed a statistically significant decrease in the development of metastatic CRPC across both HSPC and CRPC (RR: 0.38 [0.19, 0.77], p=0.007). Similarly, progression to pain (RR: 0.81 [0.71, 0.92], p=0.001) and the use of antineoplastic therapy (RR: 0.46 [0.38, 0.57], p<0.0001) was significantly delayed across all PC, indicating slower disease progression. While a slightly higher overall survival was noted in the CRPC subgroup (RR: 1.08 [1.01, 1.14], p=0.007), no significant differences were reported on the use of combination therapy across HSPC and overall PC (RR: 0.71 [0.39, 1.31], p=0.28). While a significantly higher risk of developing adverse events (RR: 1.08 [1.03, 1.14], p=0.002) and serious adverse events (RR:1.2 [0.99, 1.45], p=0.07) was noted in the CRPC subgroup, a slight increase was reported in the overall cohort and HSPC, although with statistical insignificance. Bone fractures (RR: 1.52 [1.12, 2.07], p=0.008) and hypertension risk (RR: 1.28 [1.03, 1.59], p=0.03) were elevated, while rates of rash, fatigue, falls, and mental impairment were similar. Conclusions: Combination therapy of darolutamide and ADT reduced metastatic progression and slowed tumor growth but did not significantly improve overall survival. Adverse events were more common, particularly in CRPC cohort. Longer follow-up studies are needed to assess long-term efficacy and weigh tumor control against adverse event risks.

Background: The safety and cost of concomitant atrial fibrillation (AF) ablation and left atrial appendage occlusion (LAAO) procedure remain unknown. Objective: The study sought to determine real-world outcomes of AF patients who underwent LAAO with ablation. Methods: The National Inpatient Sample and International Classification of Diseases–Tenth Revision codes were used to identify patients who underwent LAAO with and without AF ablation during the years 2016-2022. The outcomes assessed included procedural complications and resource utilization. Results: LAAO with AF ablation was associated with a higher rate of overall complications (odds ratio [OR] 1.54, 95% confidence interval [CI] 1.37-1.74), major complications (OR 1.38, 95% CI 1.18-1.60), non-home discharge (OR 1.55, 95% CI 1.23-1.96), prolonged length of stay >1 day (OR 3.21, 95% CI 2.92-3.52), and increased hospitalization costs as defined by median cost >$25,926 (OR 19.42, 95% CI 16.21-23.25) when compared to LAAO alone after adjustment for potential confounding variables. Patients who underwent LAAO with ablation were also more likely to receive pacemaker implantation (3.6 % vs 0.2%, P < 0.001) and experience acute kidney injury (3.9% vs 2.1%, P < 0.001) and non-ST elevation myocardial infarction (3.7% vs 1.5%, P < 0.001). Conclusion: In a large, contemporary, real-world study of LAAO procedures in the United States, concomitant AF ablation was associated with a higher rate of overall and major complications and an increased resource utilization.