Chisti, Mohammad Muhsin

e19515 Background: The prevalence of diabetes mellitus (DM) is significantly higher in patients with multiple myeloma (MM) compared to the general population. DM has been associated with worse outcomes in MM, including reduced overall survival and increased mortality. The impact of diabetes in patients with MM is further compounded by cardiotoxicity from proteasome inhibitors and the increased thromboembolic risk linked to immunomodulatory agents. Given the potential benefits of sodium-glucose cotransporter-2 (SGLT2) inhibitors, we hypothesized that their use in MM patients with DM could improve clinical outcomes and mitigate adverse events in this population. Methods: We utilized the TriNetX network to identify patients (≥18 years old) with MM and DM between January 1, 2013, and January 1, 2019. We categorized the patients into SGLT2 inhibitors users and SGLT2 inhibitors users. Inclusion in the SGLT2 inhibitors group required exposure to SGLT2 inhibitors for at least 1 year. 1:1 Propensity score matching was performed to match these two groups based on comorbidities, medications, baseline hemoglobin A1c, low-density lipoprotein, and left ventricular ejection fraction to produce two comparable cohorts. The study outcomes include all-cause mortality, all-cause hospitalization, acute venous thromboembolism (VTE), acute heart failure (HF), acute myocardial infarction (MI), cardiac arrhythmia, and cardiac arrest over the 5-year follow-up duration. Results: A total of 43,078 patients were identified, including 3,640 SGLT2 inhibitors users and 39,438 non-SGLT-2 inhibitors users. After 1:1 propensity-score matching, there were 3,379 SGLT-2 inhibitor users (68.9 ± 10.3 years of age, 38.0% female, 23.9% African American [AA]) and 3,379 non-SGLT-2 inhibitor users (68.9 ± 11.0 years of age, 35.9% female, 22.2% AA). SGLT-2 inhibitors users were associated with lower rates of all-cause mortality (odds ratio [OR]: 0.34, 95% confidence interval [CI]: 0.30-0.39) and all-cause hospitalization (OR: 0.52, 95% CI: 0.47-0.58). Lower odds of acute VTE (OR: 0.59, 95% CI: 0.49-0.70), acute HF (OR: 0.89, 95% CI: 0.81-0.98), acute MI (OR: 0.81, 95% CI: 0.69-0.95), cardiac arrhythmia (OR: 0.82, 95% CI: 0.70-0.97), and cardiac arrest (OR: 0.57, 95% CI: 0.44-0.74) were reported among SGLT-2 inhibitors users compared to non-SGLT2 inhibitor users. Conclusions: Our study revealed that only 8.4% of patients with DM and MM were prescribed an SGLT-2 inhibitor. Our study also demonstrated that SGLT2 inhibitor use was associated with lower odds of all-cause mortality and hospitalization, reduced risk of VTE, and favorable cardiovascular outcomes in this patient population.

ABSTRACTBackgroundChimeric Antigen Receptor (CAR) T‐cell therapy has arisen as a revolutionary treatment for hematologic malignancies. Our study aimed to evaluate how sex differences affect outcomes and complications following CAR T‐cell therapy.MethodsUtilizing the Nationwide Readmissions Database (2018–2020), we identified patients and divided them into male and female groups. Hospital outcomes and complications were compared among these two groups after propensity score matching to match groups based on comorbidities, producing two comparable cohorts.ResultsWe analyzed 2928 patients (1832 males, 62.6%, mean age 60.3 ± 13.7 years; 1096 females, 37.4%, mean age 59.1 ± 13.8 years). After propensity score matching (1:1ratio), 1092 males and females were compared. There were no significant sex differences in early mortality (adjusted odd ratios (aOR): 1.04 [95% CI 0.69–1.57]), 30‐day readmissions (aOR: 1.05 [95% CI 0.86–1.30]), or nonhome discharge (aOR: 0.89 [95% CI 0.60–1.31]). Females had higher odds of leukopenia (aOR: 1.26 [95% CI 1.06–1.50]) but lower odds of acute kidney injury (aOR: 0.68 [95% CI 0.52–0.88]).ConclusionsNo sex differences were found in hospital outcomes, including early mortality, 30‐day readmission, and nonhome discharge after CAR T‐cell therapy.

Abstract Background: Circulating tumor DNA (ctDNA) are short DNA sequences shed by tumor cells into the systemic circulation. Studies have shown potential utility of the test to predict relapse or recurrence following treatment in solid tumors, but sensitivity and specificity have varied widely, ranging from 19-100% and 80-100% respectively, in breast cancer specifically. Moreover, literature describing the utility of monitoring dynamic changes in ctDNA trends is limited. We aim to evaluate the correlation between ctDNA test, both single test as well as dynamic trends in value over time, with imaging findings. Methods: We retrospectively analyzed the medical records of all adult patients diagnosed with breast cancer who underwent ctDNA testing at the hematology-oncology clinic at William Beaumont - Royal Oak and Troy Hospitals, Michigan, from August 2017 to June 2022. Patients who had ctDNA testing done but did not have imaging to correlate it with were excluded from the study. We calculated the sensitivity and specificity of a single positive ctDNA test to detect disease progression or residual disease on imaging. In patients with multiple ctDNA tests, we calculated the sensitivity and specificity of dynamic trends in ctDNA values to detect progression, regression, or absence of disease on imaging. Moreover, we calculated the lead time for positive ctDNA results to detect disease progression compared to imaging. Results: Nineteen patients were included in the study, with 34 total ctDNA test results, each utilized as a separate data point to compare with corresponding imaging findings (Table 1). Ten out of the 19 patients had multiple(>=2) ctDNA test results reported, with a total of 15 pairs of ctDNA values and each pair was analyzed separately as up trending (N=7), down trending (N=4), or persistent negative (N=4) to compare with a corresponding pair of imaging findings (Table 2). The median age at diagnosis was 55 years, and 94.7% were female. At diagnosis, majority of patients (68.4%) had either stage III or IV disease. Our primary endpoint, the correlation of single positive ctDNA result with imaging showing either progression or residual disease, showed a sensitivity and specificity of 100% and 93.3%, respectively. Secondarily, serial ctDNA trend analysis in ten patients revealed both sensitivity and specificity of 100% for up-trending ctDNA values to detect progression, down-trending to detect regression, and persistent negative results to detect absence of disease on imaging, respectively. The positive ctDNA results detected disease progression with a median lead time of 44.5 days compared to imaging. Conclusion: Given the high sensitivity and specificity to detect disease progression and regression in breast cancer patients by single ctDNA results and dynamic ctDNA trends in our study, we conclude that this may be a valid way to reliably monitor for changes in disease status before they become evident in imaging studies. Further clinical studies are required to prove the utility of ctDNA to detect changes in disease status and to guide therapeutic interventions in breast cancer. Table 1. Correlation of single ctDNA result with imaging findings. Table 2. Correlation of dynamic trends in ctDNA values with imaging findings. Citation Format: Ujjwal Karki, Bipin Ghimire, Emma Herrman, Siddhartha Yadav, Mohammad Muhsin Chisti. Detection of progression or regression of breast cancer by circulating tumor DNA (ctDNA) [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P1-05-07.