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8597 Background: Lorlatinib improves outcomes in NSCLC but commonly causes marked hyperlipidemia, prompting initiation of lipid-lowering therapy (LLT). Beyond lipid control, LLT may be associated with vascular events; however, its association with thromboembolism, healthcare utilization, and mortality among lorlatinib-treated patients has not been characterized in real-world cohorts. Methods: Using TriNetX, we identified adults with NSCLC who received lorlatinib (index = first lorlatinib record). Patients were grouped by early LLT initiation within 30 days of index versus no LLT within 30 days. LLT included statins, ezetimibe, PCSK9 inhibitors, or fibrates. Cohorts were balanced 1:1 using propensity score matching on demographics and baseline comorbidities. Outcomes were assessed through 365 days; patients with prior outcome documentation were excluded. Results: After matching, 387 patients per cohort were analyzed. Early LLT was associated with lower all-cause mortality at 365 days (16.1% vs 26.4%; risk ratio [RR] 0.61, 95% CI 0.46-0.81; p=0.0004) and improved time to death (hazard ratio 0.60, 95% CI 0.44-0.82). Early LLT was also associated with lower venous thromboembolism (6.2% vs 12.1%; RR 0.51, 95% CI 0.30-0.86; p=0.0093) and fewer inpatient hospitalizations (14.6% vs 23.6%; RR 0.62, 95% CI 0.40-0.97; p=0.0320). Emergency department visits were numerically lower (8.3% vs 13.9%; RR 0.59, 95% CI 0.35-1.00; p=0.0467). No significant differences were observed for acute kidney injury or major adverse cardiovascular events. Conclusions: In a real-world propensity-matched cohort of lorlatinib-treated NSCLC patients, LLT initiated within 30 days was associated with lower 1-year mortality, venous thromboembolism, and hospitalization. Given the frequency of lorlatinib-associated dyslipidemia, these findings support early lipid monitoring and timely LLT initiation in practice. Prospective studies are warranted to confirm these associations. 365-day outcomes after matching. Outcome Early LLT (n=387) No early LLT (n=387) RR (95% CI) HR (95% CI) p All-cause mortality 16.1% 26.4% 0.608 (0.458-0.806) 0.597 (0.435-0.818) 0.0004; log-rank 0.001 Venous thromboembolism 6.2% 12.1% 0.509 (0.302-0.857) — 0.0093 Inpatient hospitalization 14.6% 23.6% 0.619 (0.396-0.967) — 0.0320 ED visit 8.3% 13.9% 0.593 (0.352-1.001) — 0.0467 Acute kidney injury 5.4% 7.1% 0.769 (0.429-1.378) — 0.3758 MACE 4.6% 4.6% 1.006 (0.511-1.979) — 0.9868

5079 Background: Treatment sequencing in metastatic castration-resistant prostate cancer (mCRPC) after ADT and ARPI exposure varies in practice. While 177 Lu-PSMA use is expanding in routine practice, real world head to head comparisons with docetaxel in ARPI-exposed mCRPC are limited, particularly for short-term outcomes and treatment related acute care utilization. Methods: Using TriNetX, adults > 18 years of age with metastatic prostate cancer and prior ARPI exposure who initiated 177 Lu-PSMA or docetaxel were identified (index = first administration). Cohorts were balanced with 1:1 propensity score matching (PSM) on demographics and baseline comorbidities. Outcomes from day 1–180 post-index included all-cause mortality (primary), hospitalization, acute kidney injury (AKI; ICD-10 N17), and thromboembolic/ischemic events (ICD-10 I21/I26/I63/I82). For each outcome, patients with prior documentation of that outcome were excluded. Outcomes are reported as risks and risk ratios (RR) with 95% confidence intervals. Results: Before matching, 563 patients initiated 177 Lu-PSMA-617 and 8,749 initiated docetaxel; after 1:1 PSM, 497 patients per cohort were analyzed. At 180 days, all-cause mortality was 7.3% (36/494) with 177 Lu-PSMA-617 versus 12.2% (60/491) with docetaxel (RR 0.60, 95% CI 0.40–0.88). Hospitalization occurred in 7.2% (21/290) versus 21.1% (52/247) (RR 0.34, 95% CI 0.21–0.55). In a separate matched renal-safety analysis (480 per cohort), AKI occurred in 2.8% (11/390) versus 9.0% (36/399) (RR 0.31, 95% CI 0.16–0.60). Thromboembolic/ischemic events were 3.8% (15/394) versus 6.4% (26/404) (RR 0.59, 95% CI 0.32–1.10). Conclusions: In ARPI-exposed mCRPC, 177 Lu-PSMA was associated with lower 180-day mortality risk and substantially fewer hospitalizations than docetaxel, with a lower risk of AKI. These findings highlight a potential short-term effectiveness and acute-care utilization advantage of 177 Lu-PSMA in routine practice and support further prospective evaluation. Key 180-day outcomes after matching. Outcome 177 Lu-PSMA Docetaxel Effect estimate (180 days) All-cause mortality 36/494 (7.3%) 60/491 (12.2%) RR 0.596 (0.402-0.884) Hospitalization 21/290 (7.2%) 52/247 (21.1%) RR 0.344 (0.213-0.554); Acute kidney injury (AKI)* 11/390 (2.8%) 36/399 (9.0%) RR 0.312 (0.163-0.595) Thromboembolic/ischemic† 15/394 (3.8%) 26/404 (6.4%) RR 0.592 (0.318-1.100) *AKI analysis used a separate matched run (480 per cohort). †Composite of I21, I26, I63, I82.

Advances in cancer therapeutics have substantially improved survival across multiple malignancies but have concurrently increased the burden of cancer therapy–related cardiovascular toxicity, establishing cardio-oncology as an essential discipline situated at the interface of oncology and cardiovascular medicine. Despite growing incorporation of cardiac imaging and circulating cardiac biomarkers into surveillance strategies, current approaches remain limited by modest specificity, heterogeneous risk profiles, and inconsistent translation into effective cardioprotective interventions. This review synthesizes contemporary evidence on the biological mechanisms underlying cancer therapy–related cardiovascular toxicity and critically evaluates the current role and limitations of established cardiac biomarkers, including high-sensitivity cardiac troponins and natriuretic peptides, in risk stratification and early injury detection. We further examine why many cardioprotective clinical trials have yielded neutral or modest results, highlighting signal dilution arising from low-risk populations, endpoint heterogeneity, and timing mismatches between injury biology and intervention. This review advances a precision cardio-oncology framework by integrating tumor-derived liquid biopsy platforms—such as circulating tumor DNA, tissue-specific cell-free DNA, and extracellular vesicles—with cardiac biomarkers to provide a biologically contextualized assessment of cardiovascular risk. Tumor-derived biomarkers may reflect treatment intensity, systemic inflammatory burden, and cardiotoxic susceptibility, thereby enhancing the interpretation of cardiac biomarker signals and refining patient selection for targeted cardioprotective strategies.

817 Background: Cancer screening ingastrointestinal (GI) malignancies has translated into an improvement in overall survival due to detection at an earlier stage. The majority of survivors (up to 67%) are over the age of 65. The impact of metabolic profiles on cerebrovascular events amongst this population of cancer survivors is unclear. Methods: Data from the NIS database from 2016 to 2020 were reviewed for patients with seven GI malignancies. Analysis was performed based on the presence or absence of prediabetes using ICD-10 codes. Baseline characteristics, comorbidities, and cerebrovascular outcomes were studied in these 2 cohorts. Results: 1,532,250 hospitalizations of patients with seven GI malignancies, namely colorectal cancer (CRC), pancreatic cancer, hepatocellular carcinoma (HCC), gastric cancer, small intestinal cancer, cholangiocarcinoma, and esophageal cancer, were evaluated and divided into two subgroups: prediabetics (15,610) and non-prediabetics (1,516,640). Prediabetics with GI malignancies as compared to non-prediabetics with GI malignancies were noted to be older (67.7 years vs. 65.64 years), with higher total hospitalization charges (USD 87,267 vs. USD 80,173), greater rates of elective admissions (34.92% vs. 25.89%) but a lower length of stay (6.018 days vs. 6.53 days). Prediabetic patients with GI malignancies were noted to have a higher prevalence of obesity (18.64% vs. 7.69%), dyslipidemia (52.99% vs. 26.16%), and hypertension (49.59% vs. 39.37%). Prediabetics with CRC, as compared to non-prediabetics, had higher adjusted odds ratios (aORs) of occlusion/stenosis of precerebral or cerebral arteries not leading to cerebral infarction, and cerebral infarction, with aORs of 2.03 (95% CI 1.24-3.30, p 0.004), and 1.63 (95% CI 1.01-2.63, p 0.045) respectively. Additionally, prediabetics with pancreatic cancer had a higher aOR of cerebral infarction as compared to non-prediabetics, with aOR of 2.42 (95% CI 1.70-3.44, p<0.001). Conclusions: Prediabetic patients with CRC had higher aORs of cerebral infarction and occlusion/stenosis of precerebral arteries not leading up to cerebral infarction, and prediabetics with pancreatic cancer had twice the risk of cerebral infarction as compared to non-prediabetics. This study highlights the impact of prediabetes, a modifiable risk factor, on cerebrovascular outcomes in patients with GI malignancies.

e16342 Background: Pancreatic cancer poses a major challenge due to its high mortality rates and is known as one of the deadliest cancers. The increasing mortality in addition to the aggressive nature of the tumor may be due to major cardiovascular and cerebrovascular events (MACCE). The key to mitigating the risk of pancreatic cancer as well as MACCE, is primary prevention of common risk factors including tobacco use, obesity, dietary factors, alcohol use, and physical activity. Understanding that many of these factors are directly and indirectly influenced by income status, this study aims to explore the relationship between household income on MACCE in pancreatic cancer patients. Methods: Using ICD-10 codes, patients with pancreatic cancer were identified from National Inpatient Sample 2019 database. We included all-cause in-hospital mortality (ACIHM), acute myocardial infarction (AMI), arrythmia, cerebrovascular accident (CVA), and sudden cardiac death (SCD) as MACCE for the outcomes. Baseline characteristics including demographics, comorbidities; and MACCE outcomes were studied using chi-square for categorical or ANOVA for continuous data (statistical significance determined as p-value < 0.05) and results were stratified based on median household income quartiles. Results: Of the 114,235 patients identified with pancreatic cancer who were admitted to the hospital, 25% (28,570) belonged to the first income quartile ($1-47,999), 23.8% (27,235) belonged to the second income quartile ($48,000-60,999), 26.38% (30,135) belonged to the third income quartile ($61,000-81,999), and 24.76% (28,295) belonged to the fourth income quartile ($82,000+). When compared to the patients in the fourth quartile, the adjusted odds ratio (aOR) was found to be higher for all MACCE outcomes for patients in first quartile. The aOR for ACIHM in the first quartile was found to be 1.24 (95% CI 1.06-1.46, p = 0.006) as compared to patients in the fourth quartile. Additionally, the aOR for AMI, was found to be statistically significant in patients belonging to the first quartile at 1.30 (95% CI 1.01-1.70, p = 0.047). Similarly, the aORs for both arrhythmia and SCD were also higher in the population from the first quartile at 3.67 (95% CI 1.10-12.28, p = 0.03) and 1.45 (95% CI 1.01-2.09, p = 0.049). https://docs.google.com/document/d/1v84LyPoGL406_7SDxO1N-wKxwujSgFpf/edit?usp = sharing&ouid = 110330426831507953030&rtpof = true&sd = true. Conclusions: As compared to patients in fourth income quartile, the aOR was found to be higher for all MACCE outcomes for patients in the first income quartile, indicating a vast variation based on income strata. This hints towards a complex interplay of healthcare disparities including but not limited to difficult access to quality healthcare including subspecialities. Further research may be pertinent to explore the causes of this clear disparity to ensure equitable healthcare for all patient population.

e19076 Background: Non-Hodgkin Lymphoma (NHL) is the seventh most prevalent cancer and has sixth highest malignancy mortality in United States. Owing to the advances in treatment of NHL including targeted therapies, the survival of NHL patients has increased over the past decades. However, inequalities may exist in the access to advanced care, clinical trials, and subspecialist appointments in certain patient populations. We aim to study the racial disparities in major cardiovascular and cerebrovascular events (MACCE) in NHL patients. Methods: Using ICD-10 codes, patients with NHL were identified from National Inpatient Sample 2019 database. We included all-cause in-hospital mortality (ACIHM), acute myocardial infarction (AMI), atrial fibrillation (AF), cerebrovascular accident (CVA), and sudden cardiac death (SCD) as MACCE for the outcomes. Baseline characteristics including demographics, comorbidities; and MACCE outcomes were studied using chi-square for categorical or ANOVA for continuous data (statistical significance determined as p-value <0.05) and results were stratified based on patient’s races. Results: Out of the total sample size of 205220 patients admitted with a diagnosis of NHL, 74.94% (153785) were White, 8.95% (18370) were Black, 9.46% (19415) were Hispanic, 3.48% (7140) were Asian/Pacific Islander, 0.42% (875) were Native American, while 2.75% (5635) belonged to other races. When compared to White patients, ACIHM was significantly higher in Black patients with adjusted odds ratio (aOR) of 1.294 (95% CI 1.099-1.523, p=0.002) and Asian/Pacific Islander patients (aOR 1.279, 95% CI 1.005-1.628, p=0.045). Risk of AMI was lower in Black patients (aOR 0.751, 95% CI 0.587-0.96, p=0.023) as compared to White patients. AF risk was significantly lower in Black, Hispanic, and Other race patients compared to White patients. The odds of developing CVA are higher in Asian/Pacific Islander patients (aOR 1.285, 95% CI 1.002-1.649, p=0.048) and of having SCD are higher in Black patients (aOR 2.052, 95% CI 1.5-2.806, p<0.001) when compared to White patients. Conclusions: In patients with NHL, Black patients had higher ACIHM and SCD while Asian/Pacific Islander patients had higher ACIHM and CVA when compared to White patients. Although the reason of disparity is likely multifactorial, the findings of this study highlight the need for development of healthcare strategies stratified by race which may aid to mitigate the increased risk of MACCE in certain races. Further research involving possible genetic influences and social determinants of health contributing to poorer outcomes in Black and Asian/Pacific Islander patients with NHL becomes imperative.

e13740 Background: Hepatocellular carcinoma (HCC) ranks as the 6th most common cancer and as the 3rd leading cause of cancer-related mortality. With immunotherapy improving survival rates, the relevance of major adverse cardiovascular and cerebrovascular events (MACCE) is increasing. We aim to explore the racial disparities in MACCE among patients with HCC, thus leading to a better understanding of the interplay of these conditions with social determinants of health. Methods: Using ICD-10 codes, patients with HCC were identified from National Inpatient Sample 2019 database. We included all-cause in-hospital mortality (ACIHM), acute myocardial infarction (AMI), atrial fibrillation (AF), cerebrovascular accident (CVA), and sudden cardiac death (SCD) as MACCE for the outcomes. Baseline characteristics including demographics, comorbidities; and MACCE outcomes were compared using chi-square for categorical or ANOVA for continuous data (statistical significance determined as p-value <0.05) and results were stratified based on patient’s races. Results: Out of the total sample size of 89,615 patients admitted with a diagnosis of HCC, 60.14% (53,895) were White, 13.67% (12250) were Black, 15.64% (14015) were Hispanic, 6.48% (5805) were Asian/Pacific Islander, 0.8% (720) were Native American, while 3.27% (2930) belonged to other ethnicities. There were significant racial differences in comorbidities with hypertension being most prevalent in Black patients (42.53%), diabetes mellitus in Native American patients (45.14%) and dyslipidemia in Asian/Pacific Islander patients (32.39%). When compared to White patients, ACIHM was the significantly higher in Black patients with adjusted odds ratio (aOR) of 1.305 (95% CI 1.123-1.517, p=0.001), Asian/Pacific Islander patients with aOR 1.271 (95% CI 1.024-1.578, p=0.03) and Other races patients with aOR 1.578 (95% CI 1.2-2.076, p=0.001). AF was significantly lower in all races when compared to White patients. CVA was significantly higher in Black patients with aOR 1.654 (95% CI 1.329-2.059, p<0.001) compared to White patients. SCD was significantly higher in Asian/Pacific Islander patients with aOR 2.22 (95% CI 1.364-3.612, p=0.001) when compared to White patients. https://docs.google.com/document/d/1wM_b0jmNjChKEfpyj5SL6HmSKEhDo0N3X5H76jC-w0I/edit?usp=sharing Conclusions: In patients with HCC, Asian/Pacific Islander patients had higher ACIHM and SCD while Black patients had higher ACIHM and CVA as compared to White patients. This study highlights the importance for development of healthcare strategies stratified by race which may aid to mitigate the higher risk of MACCE in certain races. Further research involving possible genetic influences and social determinants of health contributing to poorer outcomes in people of color becomes imperative.

1611 Background: Due to its high prevalence, colorectal cancer (CRC) forms a considerable burden on the healthcare system. Advancements in treatment modalities like immunotherapy have led to significant improvement in the 5-year survival. This, along with the cardiotoxic therapy regimens results in a remarkable incidence of major cardiovascular and cerebrovascular events (MACCE). Thus, it becomes imperative to address the intricacies of factors including racial disparities in MACCE, as these aid with facilitating equitable management of all CRC patients. Methods: Using ICD-10 codes, patients with CRC were identified from National Inpatient Sample 2019 database. We included all-cause in-hospital mortality (ACIHM), acute myocardial infarction (AMI), atrial fibrillation (AF), cerebrovascular accident (CVA), and sudden cardiac death (SCD) as MACCE for the outcomes. Baseline characteristics including demographics, comorbidities; and MACCE outcomes were studied using chi-square for categorical or ANOVA for continuous data (statistical significance determined as p-value < 0.05) and results were stratified based on patient’s races. Results: A total sample patient population of 171,695 patients with a diagnosis of CRC were identified of which 70.71% (121,410) were White, 13.85% (23,790) were Black, 9.15% (15,720) were Hispanic, 3.23% (5,555) were Asian/Pacific Islander, 0.5% (840) were Native American, and 2.55% (4380) belonged to Other races. Substantial differences in the prevalence of comorbidities were noted with hypertension (46.32%) and renal failure (24.74%) being more common in Black patients, diabetes mellitus (37.5%) in Native American patients, and dyslipidemia (37.89%) in White patients. Upon comparison with White patients, the ACIHM was higher in Black patients with adjusted odds ratio (aOR) of 1.23 (95% CI 1.057-1.432, p = 0.007) and Asian/Pacific Islander patients with aOR of 1.359 (1.014-1.823, p = 0.04). While AMI was found to be lower in all races, as compared to White patients, AF was remarkably higher in all races. CVA was higher in Black patients as compared to White patients with aOR of 1.626 (95% CI 1.401-1.886, p < 0.001). SCD was substantially higher in Black patients with aOR 2.059 (95% CI 1.478-2.869, p < 0.001), and in Hispanic patients with aOR 1.743 (95% CI 1.1-2.761, p = 0.018), when compared to White patients. Conclusions: The study noted higher prevalence of MACCE across the board with poorer outcomes in non-White populations, which highlights the urgent need for resource allocation to improve outcomes. This has to be done in pre and post cancer treatment patients, especially in high risk populations. Additionally, the role of cardio-oncology service at every stage of management of CRC appears to be crucial.

Background and Objectives: Non-Hodgkin lymphoma (NHL) has the sixth-highest malignancy-related mortality in the United States (US). However, inequalities exist in access to advanced care in specific patient populations. We aim to study the racial disparities in major adverse cardiovascular and cerebrovascular events (MACCEs) in NHL patients. Materials and Methods: Using ICD-10 codes, patients with NHL were identified from the US National Inpatient Sample 2016–2019 database. Baseline characteristics, comorbidities, and MACCE outcomes were studied, and results were stratified based on the patient’s race. Results: Of the 777,740 patients with a diagnosis of NHL, 74.22% (577,215) were White, 9.15% (71,180) were Black, 9.39% (73,000) were Hispanic, 3.33% (25,935) were Asian/Pacific Islander, 0.36% (2855) were Native American, and 3.54% (27,555) belonged to other races. When compared to White patients, all-cause mortality (ACM) was significantly higher in Black patients (aOR 1.27, 95% CI 1.17–1.38, p < 0.001) and in Asian/Pacific Islander patients (aOR 1.27, 95% CI 1.12–1.45, p < 0.001). Sudden cardiac death was found to have a higher aOR in all racial sub-groups as compared to White patients; however, it was statistically significant in Black patients only (aOR 1.81, 95% CI 1.52–2.16, p < 0.001). Atrial fibrillation (AF) risk was significantly lower in patients who were Black, Hispanic, and of other races compared to White patients. Acute myocardial infarction (AMI) was noted to have a statistically significantly lower aOR in Black patients (0.70, 95% CI 0.60–0.81, p < 0.001), Hispanic patients (0.69, 95% CI 0.59–0.80, p < 0.001), and patients of other races (0.57, 95% CI 0.43–0.75, p < 0.001) as compared to White patients. Conclusions: Racial disparities are found in MACCEs among NHL patients, which is likely multifactorial, highlighting the need for healthcare strategies stratified by race to mitigate the increased risk of MACCEs. Further research involving possible epigenomic influences and social determinants of health contributing to poorer outcomes in Black and Asian/Pacific Islander patients with NHL is imperative.