Citations

Abstract Introduction Microdissection testicular sperm extraction (microTESE) is performed in men with nonobstructive azoospermia who desire sperm retrieval for use in IVF. This procedure can be performed in the operating room or in the clinic with local analgesic. Objective To report office-based microTESE sperm retrieval, fertilization, and livebirth rates. Methods A review was conducted of all patients who underwent office-based microTESE for nonobstructive azoospermia with a partner that who underwent concurrent oocyte retrieval for an intended in-vitro fertilization (IVF) intracytoplasmic injection (ICSI) cycle 2022-2024. All male partners underwent Y chromosome microdeletion testing, karyotype analysis, and hormonal testing preoperatively. Patients with a diagnosis of hypogonadism were offered medical therapy and those diagnosed with a varicocele were offered varicocelectomy prior to microTESE. Office-based microTESE was performed using a surgical operating microscope, spermatic cord block, and oral anxiolytic. Female partners underwent oocyte retrieval with oocyte cryopreservation prior to microTESE. Oocyte warming and ICSI was performed only following the collection of motile sperm from the fresh microTESE samples. Relevant demographic and clinical data were collected for patients and their partners. Descriptive data analysis was performed and reported as mean ± standard deviation. Results Ten patients underwent 11 office-based microTESE procedures. One patient had repeat microTESE following an unsuccessful IVF/ICSI cycle. Overall sperm retrieval rate was 70% for first time microTESE with mean search time 197.2 ± 96.5 min. Amongst couples with successful sperm retrieval, normal fertilization rate was 42%. Early cleavage arrest was seen in 84% of normally fertilized oocytes with a 16% blastocyst rate. Embryo development arrested entirely in two couples, while the remaining five couples had at least one blastocyst on day 5 and underwent embryo transfer. Of these, four resulted in a clinical pregnancy (36%). Three couples had a successful live birth and one has an ongoing pregnancy with ultrasound-confirmed fetal heartbeat. Conclusions Our small series demonstrates high sperm retrieval rates from office-based microTESE. Fertilization rates, clinical pregnancies and live birth rates are comparable with those reported in the literature. Given the financial cost associated with microTESE and IVF/ICSI for nonobstructive azoospermia patients, office-based microTESE may be a solution to make the process more financially accessible for couples. Disclosure No.

ABSTRACTBackgroundMitral transcatheter edge‐to‐edge repair (TEER) is a minimally invasive therapy for severe mitral regurgitation (MR) in patients with high surgical risk. TEER results in a tissue bridge that decreases mitral valve area, potentially leading to elevated mean gradient. The clinical impact of elevated gradient on outcomes is unclear.MethodsThis systematic review and meta‐analysis was based on a comprehensive search of five databases. We included studies that evaluated post mitral TEER gradient on one of the following outcomes: all‐cause mortality, combined endpoints, symptoms, hospitalizations, and mitral valve re‐intervention. Meta‐analysis was conducted using the random‐effects model.ResultsOut of 6458 citations, 17 studies were included (2017−2024) reporting on 7748 patients. There was significant heterogeneity between studies related to the cutoff used to define elevated gradient, etiology of MR, and outcomes. Elevated mitral gradient post TEER (4, 4.5, 5 mmHg) was associated with worse combined endpoint (HR = 1.35, 95% CI 1.07−1.71; I2 64%), but not all‐cause mortality (HR = 1.25, 95% CI 0.97−1.59; I2 45%) or risk of hospitalization. For the combined endpoint, this association was mainly significant in patients who had mitral gradient assessed using discharge echocardiogram (HR = 1.39, 95% CI 1.07−1.81; I2 62%) for all patients and for those with degenerative MR.ConclusionDespite the heterogeneity between studies, the current analysis suggests that patients with elevated mitral gradient post TEER are at risk of worse clinical outcomes, particularly in patients who had mitral gradient assessed using discharge transthoracic echocardiogram.

Introduction: Myeloma therapeutics have tremendously improved in recent times, leading to unprecedented outcomes. Timely initiation of effective treatment is vital to improving survival and quality of life. Patient refusal to receive treatment is infrequent but certainly leads to increased morbidity/mortality. We studied factors associated with treatment refusal. Methods: The National Cancer Database (NCDB) was queried for adult patients diagnosed with MM between 2004-2021. Those who refused treatment for initial management despite physician's recommendation were identified. Patients with multiple primary malignancies or unknown treatment status were excluded. Patients' demographics and socioeconomic factors were collected. Kaplan-Meier and multivariate Cox regression were used to evaluate the likelihood of treatment refusal in the whole cohort and in each racial/ethnic group. Results: Out of 86,350 eligible patients with MM who were recommended to initiate therapy, 2,508 (2.9%) did not receive any treatment due to refusal. Of these, 52.6% were females, 64% were non-Hispanic White (NHW), 21.3% were non-Hispanic African American (NHAA), and 5.2% were Hispanic. On multivariate analysis, patients who were treated at comprehensive and integrated facilities were more likely to refuse treatment as compared to those at academic facilities (OR=1.36; 95% CI: 1.22-1.52, p<0.001 and OR=1.22; 95% CI: 1.07-1.4, p=0.004, respectively). Patients on Medicare (OR=1.42; 95% CI: 1.16-1.73, p<0.001), and presence of higher Charlson Comorbidity Index (CCI) also had a higher likelihood of refusing treatment. Lower refusal rates were seen for male gender (OR=0.83; 95% CI: 0.76-0.91, p<0.001), NHW racial/ethnic group (as against NHAA; OR=0.34; 95% CI: 0.16-0.71, p=0.004), being insured (OR=0.69; 95% CI: 0.52-0.93, p=0.015), having private insurance (compared to Medicaid; OR=0.47; 95% CI: 0.38-0.59, p<0.001) and having a higher income level (OR=0.82; 95% CI: 0.70-0.96, p=0.013). Among NHAA patients, 2.8% refused treatment and were more likely to have Medicare (OR=1.4; 95% CI: 1.03-1.9, p=0.032). Having private insurance (compared to Medicaid; OR=0.61; 95% CI: 0.43-0.88, p=0.008) had a lower likelihood of refusing treatment. Among NHW, 2.9% refused treatment and they were more likely to be treated at community, comprehensive and integrated facilities compared to academic facilities (OR=1.39; 95% CI: 1.12-1.73, p=0.003, OR=1.54; 95% CI: 1.33-1.77, p<0.001 and OR=1.38; 95% CI: 1.16-1.64, p<0.001, respectively), be from rural areas (OR=1.43; 95% CI: 1.05-1.96, p=0.025), and have a higher CCI. On the other hand, male gender (OR=0.79; 95% CI: 0.72-0.89, p<0.001), private insurance (compared to Medicaid; OR=0.42; 95% CI: 0.30-0.59, p<0.001) and higher income level (OR=0.80; 95% CI: 0.66-0.98, p=0.029) had a lower likelihood of refusing treatment. Among Hispanic patients, 2.3% refused treatment and were more likely to have Medicare (OR=1.96; 95% CI: 1.13-3.4, p=0.016), while those with private insurance (compared to Medicaid; OR=0.32; 95% CI: 0.14-0.73, p=0.007) had a lower likelihood of refusing treatment. Conclusions: This large real-world analysis highlights the intricate sociodemographic and economic factors that affect the decision of a MM to not proceed with the recommendation for treatment. (1) NHW are less likely to refuse treatment as compared to NHAA. (2) Insurance status is an important driver of refusal and transcends race/ethnicity. Furthermore, in this study, we highlight characteristics that are specific to different racial/ethnic groups like CCI which affect only certain racial/ethnic groups. This provides an opportunity to develop targeted interventions such that the benefit of therapeutic advancements can be realized by all.

Introduction: Ven is a BCL2 inhibitor that has shown clinical efficacy in RRMM patients (pts) particularly those that harbor t(11;14). Ven has been evaluated in clinical trials as a single agent, in combination with dexamethasone (dex), immunomodulatory drugs (IMiD), proteasome inhibitors (PI), and anti-CD38 monoclonal antibodies (MAb) yet its place in the therapeutic landscape remains in question. In this retrospective analysis, we aim to evaluate the real-world efficacy of Ven-based regimens in RRMM pts treated outside of a clinical trial across the 3-site MCCC. Methods: We retrospectively analyzed the medical records of pts with RRMM treated with Ven-based regimens between January 2015 and October 2023 at the MCCC. Refractoriness was defined by progression on or within 60 days of stopping treatment. Categorical variables were compared with Chi-square tests and continuous variables were compared with t-tests. Outcomes were estimated using the Kaplan-Meier method and curves were compared between the groups using log-rank tests. Results: 83 pts were included in the analysis. The median age was 71 (39-93), 63% were male, 93% were white, 27% had ISS III, 18% had high risk cytogenetics (HRCyto), 76% had t(11;14), the median prior lines of therapy (LOT) was 4 (1-15), 68% received ≥ 4 prior LOT, 87% received prior autologous transplant, 58% were triple-class refractory (TCR), 64%/23% were penta-drug exposed/refractory (PDE/R), 8% received prior BCMA-directed therapies (BDT), 58% received Ven+dex, 25% received Ven+PI +/-dex, 6 % received Ven+anti-CD38 MAb+/-dex and 11% received Ven+other. The median follow-up time from start of a Ven-based regimen was 29 months (mo). The median Ven dose was 800mg (20-1600) with 25% of pts receiving Ven ramp-up dosing. The overall response rate (ORR) to a Ven-based regimen was 58% and was 64% for pts with t(11;14) and 40% for pts without t(11;14); p=0.06. Ven-treated pts with HRCyto had inferior PFS (3mo) and OS (8mo) compared to patients who did not have HRCyto who had a PFS of 9mo (p=0.020) and OS of 80mo (p<0.001). The ORR for TCR and PDR pts were 52% and 42%, respectively. No significant ORR differences were noted across the different Ven-based regimens (p=0.32). The median PFS for pts with t(11;14) was 10mo compared to 2mo for pts w/o t(11;14); p=<0.001. The median OS for pts with t(11;14) was 80mo compared to 10mo for pts without t(11;14); p=0.001. Ven-treated pts who received 1-3 prior LOT has superior ORR, median PFS, and median OS; 89%, 25mo, and 99mo, respectively, compared to pts who received ≥4 prior LOT who achieved an ORR of 43% (p<0.001), median PFS of 5mo (p<0.001) and median OS of 25mo (p<0.001). Ven-treated pts that were TCR had inferior PFS (5mo) and OS (26mo) compared to pts who were not TCR who achieved a PFS of 12mo (p<0.001) and a median OS of 80mo (p=0.02).Ven-treated pts that were PDR had inferior PFS (4mo) and OS (22mo) compared to pts who were not PDR who achieved a PFS of 9mo (p<0.001) and a median OS of 80mo (p=0.02).Ven-treated pts who received prior BDT (n=7) achieved an ORR of 29% and had a median PFS and OS of 2mo and 6mo, respectively on a Ven-based therapy. 59 pts received additional therapy in the post Ven-progression setting. The ORR to post-Ven progression therapies was 53% (n=31/59), the median PFS was 9mo and median OS was 35mo. The most common post-Ven progression regimens used were PI-based (n=16; ORR=56%), anti-CD38 MAb-based (n=14; ORR=50%), BDT (n=12; ORR=83%), selinexor-based (n=3; ORR=0%) with BDT resulting in highest ORR (p=0.048) and PFS (p=0.005). Conclusions: Ven-based regimens are effective in heavily pre-treated pts with RRMM however they are more effective when used within 1-3 prior LOT, in pts with t(11;14), and in pts without HRCyto, TCR or PDR MM. BDT appear to be the most efficacious therapies in the post-Ven progression setting.

Introduction MM is characterized by the proliferation of abnormal clonal plasma cells, causing destructive bone lesions, kidney injury, anemia, and hypercalcemia. Treatment of MM involves immunomodulatory agents, proteasome inhibitors, and anti-CD38 monoclonal antibodies to achieve disease remission. AL amyloidosis comprises disorders of abnormal extracellular deposition of misfolded proteins in various organs with resultant damage, and the key strategy of treatment is to prolong the time to or reverse organ dysfunction. However, many patients will relapse from the standard triplet or quadruplet therapies, necessitating additional treatments with novel mechanisms of action. Lisaftoclax is a novel investigational BCL-2 inhibitor with strong antitumor activity in hematologic malignancies. Here, we report clinical trial data on lisaftoclax combined with novel therapeutic regimens in pts with R/R MM or R/R AL amyloidosis. Methods Eligible patients had an ECOG performance status ≤ 2, ≥ 1 prior line of therapy, and adequate organ function. Patients with R/R AL amyloidosis had confirmed symptomatic organ involvement, purpura, and/or carpal tunnel syndrome. Lisaftoclax was administered orally daily at doses assigned in repeated 28-day cycles. Pomalidomide, daratumumab, and lenalidomide were administered per label use. Dexamethasone 40 mg (20 mg, pts > 75 years old) was administered on days 1, 8, 15, and 22 of 28-day cycles. This study evaluated the safety and efficacy of lisaftoclax combined with pomalidomide and dexamethasone (Pd; Arm A) or daratumumab, lenalidomide, and dexamethasone (DRd; Arm B) in R/R MM and lisaftoclax combined with Pd in R/R AL amyloidosis (Arm C). Intensive blood samples were collected for pharmacokinetic (PK) analyses. Results As of May 29, 2024, 52 pts were enrolled, including 42 with R/R MM and 10 with AL amyloidosis. In Arm A (n = 35), lisaftoclax was administered orally at dose assigned: 400 mg (n = 3), 600 mg (n = 4), 800 mg (n = 15), 1,000 mg (n = 7), and 1,200 mg (n = 6). In Arm B (n = 7), all pts were treated with lisaftoclax 600 mg. In Arm C (n = 10), lisaftoclax was administered at 400 mg (n = 1), 600 mg (n = 4), 800 mg (n = 3), and 1,000 mg (n = 2). The median (range) age of all patients was 69.5 (24-88) years, of whom 63.5% were male and 63.5% were ≥ 65 years of age. The enrolled patients were heavily treated, with a median (range) number of treatment cycles of 4 (1-26), and a median (range) number of prior therapy lines of 3 (1-19). In Arm A, out of 31 evaluable patients, 3 (9.7%) achieved complete remission (CR), 7 (22.6%) reached very good partial remission (VGPR), and 9 (29.0%) achieved partial response (PR). The overall response rate (ORR) was 19 (61.3%), and the ≥ VGPR rate was 10 (32.3%). In Arm B, of 4 evaluable patients, 2 (50%) achieved CR and 2 (50%) ≥ VGPR. In Arm C, of 7 assessed patients, 1 (14.3%) achieved CR, 4 (57.1%) VGPR, 1 (14.3%) PR, and 5 (71.4%) ≥ VGPR, for an ORR of 6 (85.7%); 2 pts had cardiac response. Among 49 pts in the safety population, 34 (69.4%) reported any-grade lisaftoclax treatment-related AEs (TRAEs; ≥ 5% incidence), including neutropenia (20.4%), thrombocytopenia (6.1%), leukopenia (10.2%), nausea (16.3%), abdominal distension (10.2%), diarrhea (12.2%), and constipation (8.2%). A total of 11 pts experienced grade ≥ 3 TRAEs, including neutropenia (14.3%) and febrile neutropenia (2%), and 3 pts experienced lisaftoclax-related serious AEs (1 each): febrile neutropenia, acute kidney injury, and diarrhea with electrolyte imbalance. In Arm B, 1 pt experienced a dose-limiting toxicity (prolonged QT interval). Pharmacokinetic analyses showed no drug-drug interaction (DDI) in all pts treated with lisaftoclax at all doses in combination with other therapeutic agents used in 3 arms. Conclusions Our findings suggest that lisaftoclax improves the depth of response in pts with R/R MM or AL amyloidosis when combined with Pd or DRd. These combination therapies demonstrated a favorable safety profile with no drug-drug interactions, particularly in hematologic side effects. ClinicalTrials.gov registration: NCT04942067; internal study identifier: APG2575MU101.

Introduction Symptom burden in myeloproliferative neoplasms (MPN) is quantified using total symptom scores (TSS) calculated from the patient-reported scores for clinically meaningful symptoms. The impact of demographic, clinical, and laboratory features on these symptoms remains unclear and warrants further investigation. Methods Patients with polycythemia vera (PV), essential thrombocythemia (ET), and myelofibrosis (MF) were identified from the retrospective chart review. TSS, scores of individual symptoms (fatigue, early satiety, abdominal discomfort, inactivity, concentration difficulties, fever, night sweats, itching, bone pain, weight loss), demographic characteristics (race, ethnicity, age, and gender), clinical features (time since diagnosis, depression status, obesity status), laboratory results and season at the time of visit when the first TSS assessment was performed were recorded. Multicollinearity and homoscedasticity were assessed using variance inflation factors and visual inspection of the data, respectively. A multivariable regression analysis was performed using a robust variance estimator. A p-value <0.05 indicated a statistically significant association with the symptom scores. Results The chart review identified 557 (PV: 201; ET: 191; MF: 165) patients. The median age of patients with PV, ET, and MF was 65 (range: 27-93), 65 (20-96), and 69 (27-96) years, respectively. Most patients were white (PV: 92%; ET: 90%; MF: 93%) and non-Hispanic or Latino (PV: 93%; ET: 96%; MF: 92%). Most patients with PV and ET were female (PV: 51%; ET: 73%), while most patients with MF were male (55%). Among the included patients 22% (PV: 21%; ET: 27%; MF: 18%) had the diagnosis of depression at the time of the clinical visit. TSS was highest in MF (mean (SD): 18.1±14.6), followed by PV (15.7±14.5) and ET (15.1±14.0) patients. Fatigue was the most reported symptom by the patients (PV: 81%; ET: 82%; MF: 84%), whereas weight loss was the least reported symptom (PV: 4.5%; ET: 6.3%; MF: 16%). With regards to the TSS multivariable regression analysis showed that age (beta coefficient: 0.2; p=0.01), depression (7.2; 0.008), and low hemoglobin (1.2; 0.003) in PV, depression (11.7; 0.001) in ET, and depression (9.5; 0.001), splenomegaly (6.9; 0.01), and WBC count (0.16; 0.048) in MF patients were significantly associated with TSS. In terms of individual symptoms in PV, depression was associated with fatigue (beta coefficient: 1.31; p-value: 0.01) and concentration difficulties (1.7; <0.001), high WBC count was associated with early satiety (0.09; 0.03), and non-white race was associated with fever (1.4; 0.007). In ET, depression was associated with fatigue (1.6; <0.001), abdominal discomfort (1.4; <0.001), inactivity (2.5; <0.001), concentration difficulties (2.4; <0.001) and night sweats (1.4; <0.001), anemia was associated with fatigue (1.2; 0.03), fewer months since diagnosis was associated with inactivity (0.01; 0.02) and young age was associated with bone pain (0.02; 0.03). In MF, depression was associated with fatigue (1.8; 0.001), concentration difficulties (1.3; 0.01), fever (1.1; 0.02), and night sweats (2.2; 0.03), low hemoglobin was associated with fatigue (0.46; <0,001) and early satiety (0.31; 0.003), high WBC count was associated with fatigue (0.03; 0.04) and early satiety (0.04; 0.02), low platelet count was associated with abdominal discomfort (0.002; 0.03), splenomegaly was associated with inactivity (2.27; 0.003) and female gender was associated with itching (0.57; 0.01). Conclusions This study demonstrates that depression in PV and ET and depression, low hemoglobin, and a high WBC count in MF contribute to multiple symptoms seen in these patients. Identifying demographic groups at risk of a higher symptom burden and addressing the comorbidities that drive symptoms, in addition to disease-directed therapy, is crucial to improving the quality of life in these patients.

Introduction BCL-2 inhibition with venetoclax (ven) was a major advance in CLL treatment, but the 5-week dose ramp-up to mitigate the risk of tumor lysis syndrome and drug-drug interactions (DDIs) challenge treatment optimization. Lisaftoclax is an investigational, oral BCL-2i with a short half-life, allowing it to be ramped-up on a daily schedule. We present updated results of a phase 1b/2 study of lisaftoclax alone or combined with acalabrutinib or rituximab in pts with treatment-naïve (TN; lisaftoclax-acalabrutinib arm), relapsed/refractory, or prior ven-treated CLL/SLL (NCT04215809). Methods Pts were treated with a rapid 4- to 6-day daily ramp-up of lisaftoclax from 20 mg to a target dose of 400, 600, or 800 mg, receiving daily oral lisaftoclax alone or, plus continuous acalabrutinib or 6 cycles of rituximab in 28-day cycles, starting on Cycle 1 Day 8 (C1D8) until disease progression, complete response by C24, or unacceptable toxicity. Intensive blood samples were collected for pharmacokinetic (PK) and exposure-response (E-R) analyses. Results From March 20, 2020, to June 27, 2024, 176 pts were enrolled: 46 in monotherapy and 39 and 91 in rituximab and acalabrutinib combination cohorts, respectively; 154/176 (87.5%) were R/R and 22/176 (12.5%) TN. The median (range) age was 63 (34-80) years; 67% were male; 25.6% had del(17p) and/or TP53 mutation; and 70.6% had unmutated IGHV. Median (range) duration of treatment with lisaftoclax was 16.5 (1-54; monotherapy), 24 (3-39; rituximab), and 27 (1-43; acalabrutinib) months. In R/R pts, the median (range) number of prior lines of therapy was 2 (1-15), and 14 (9%) pts had been treated with ven. Prior ven pts had a median (range) age of 65 (51-78); 79% were male; of evaluable pts, 50% had del(17p), 36% TP53 mut, 64% del(11q), 38% complex karyotype (≥ 3 abnormalities), and 92% unmutated IGHV; 57% were BTKi naïve; and the median (range) number of prior therapies was 3 (1-6). Incidence and severity of TEAEs were similar across cohorts. Common (>10%) any-grade TEAEs in all cohorts combined were neutropenia (59 [33.5%]), diarrhea (38 [21.6%]), anemia (27 [15.3%]), and thrombocytopenia (26 [14.8%]). Grade ≥ 3 TEAEs were neutropenia in 15 (32.6%), 10 (25.6%), and 22 (24%) pts and anemia in 10 (21.7%), 5 (12.8%), and 12 (13.2%) pts in monotherapy, rituximab, and acalabrutinib combination cohorts, respectively. Comprehensive E-R analyses indicated that lisaftoclax had similar systemic exposure as monotherapy or when combined with acalabrutinib or rituximab; lisaftoclax had no DDI when combined with acalabrutinib or rituximab. No discontinuations were attributed to lisaftoclax TRAEs. Forty-four (95.7%) pts in monotherapy discontinued treatment. Most discontinuations were due to progressive disease (n = 41 [23.3%]) and 13 (7.4%), AEs; 9 (5.1%) pts withdrew consent; 7 (4%) achieved complete response or MRD negativity after ≥ 24 cycles; 5 (2.8%) died; and 18 (10.2%) discontinued for other reasons. Clinical (n = 2) and laboratory (n = 3) TLS was observed in 5 (2.8%) pts on lisaftoclax (by Howard/Cairo-Bishop criteria), with cases rapidly resolving to resume lisaftoclax safely. ORR for lisaftoclax plus acalabrutinib in 87 pts was 96.6%, and the median DOR (95% CI, 23-NR) and median PFS (95% CI, 34-NR) were not reached. The 12- and 18-month PFS rates were 89% and 86%, respectively. Fourteen R/R CLL ven-exposed pts received lisaftoclax plus acalabrutinib, of whom 9 had progressed on ven, 3 relapsed after completing ven, and 2 discontinued due to ven intolerance. Median (range) duration of treatment was 16 (3-25) months. Safety profile was similar to that of other study cohorts. ORR was 85.7% (12/14), 100% (8/8), and 66.7% (4/6) in the ven-exposed, ven-exposed but BTKi-naïve, and ven- and BTKi-exposed pts, respectively. The median duration of response (DOR) and progression-free survival (PFS) were not reached. The 12- and 18-month PFS rates were 84% and 73%, respectively. Conclusions Our data suggest that lisaftoclax combined with acalabrutinib is effective for pts with prior ven exposure, including those with progression on ven. In this updated analysis with longer follow-up, no DDIs or new safety findings were observed in TN or R/R CLL/SLL pts treated with lisaftoclax monotherapy/combinations. We continue to accrue pts with prior ven exposure to further evaluate this promising signal. A global registrational phase 3 study GLORA (NCT06104566) is recruiting.

Introduction: Overall outcomes have improved significantly for MM with a 5-year relative survival rate currently of >60%. With effective treatments, patients from all clinical strata and age groups are expected to have meaningful benefit, but despite excellent therapeutic advancements, some patients continue to have early mortality. We conducted this study to investigate factors associated with early mortality. Methods: The National Cancer Database (NCDB) was queried for adult patients with NDMM between 2004 and 2021. We excluded patients with multiple primary malignancies or lost to follow-up (unknown vital status or last contact). Early mortality was defined as death within 6 months from MM diagnosis. Patient demographics and socioeconomic factors available in NCDB were collected. Kaplan-Meier and multivariate Cox regression were used to evaluate the likelihood of early mortality in this large cohort of MM patients using multi-variate analysis. Results: Out of 255,579 eligible patients with MM, 35,302 (13.8%) died within the first 6 months of diagnosis and 108,534 (42.5%) died after the first 6 months of MM diagnosis. The early mortality cohort had significantly higher mean age at MM diagnosis (73.9 vs. 68.5 years, p<0.001) but no significant differences were noted for gender distribution. There was a statistically significant difference for racial/ethnic distribution (p=0.019), but the percentages were very similar among non-Hispanic White (69% vs 68.1%), non-Hispanic African American (18% vs 18.7%) and Hispanic patients (4.7% vs 4.8%). Patients in the early mortality cohort were less likely to be treated at academic institutions (28.4% vs 37.8%, p<0.001) and have significantly different distribution by insurance type (less likely to have private insurance; 17.3% vs. 30%, more likely to have Medicare; 72.1% vs. 58.7%, p<0.001) although overall insurance access was similar between the two groups (95.3% vs 95.2%, p=0.283). Early mortality was associated with higher morbidity scores as per the Charlson-Comorbidity Index (CCI) (p<0.001) and were more likely to have not received any treatment for MM (53.2% in early mortality group vs. 28.4% in late mortality, p<0.001). Early mortality was also associated with a lower literacy rate (high school graduation rate 21.2% vs. 19.7%, p<0.001) and lower household income (<$46,277; 19.1% vs. 17.7%, p<0.001). Conclusion: This large real-world analysis shows that despite therapeutic advances in recent years, there is a significant percentage of patients with NDMM in the U.S. who suffer from early mortality. There are several sociodemographic and economic factors that were found to be associated with early mortality, with some showing clear trends (older age, treatment facility type, insurance type, income, education, CCI), while others like racial differences were significant but somewhat ambiguous. Identifying and addressing these factors at diagnosis will help provide personalized care plans and minimize early mortality.

Introduction Prognostication in myelofibrosis (MF) currently relies on manual assessment of clinical, pathological, and laboratory variables, which is inefficient and error-prone. The potential of large language models (LLMs) and rule-based programming to automate data extraction and prognostication in these patients remains unexplored and merits investigation. Methods Patients with MF were identified from a retrospective chart review. Data regarding clinical (age, constitutional symptoms, transfusion requirements), laboratory (hemoglobin, circulating white blood cell, platelet, and blast counts), and pathological (grade of bone marrow fibrosis, chromosomal analyses, cytogenetics) features was extracted from the latest free-text clinical notes and pathology reports using the generative pretrained transformer-4 (GPT-4) model in a zero-shot setting with the prompting parameters set to generate deterministic responses. The patients were randomly sampled into development (15%) and test (85%) sets, with the documents of patients in the development set used for iterative prompt engineering. The finalized prompts were used for data extraction in the test set. Rule-based programming was used for post-processing of the extracted data and ascertaining prognosis via Dynamic International Prognostic Scoring System (DIPSS), DIPSS-plus (DIPSS+), and Mutation-enhanced International Prognostic Scoring System-70 (MIPSS-70). Automatically extracted data and prognostic categories were compared with the manually generated human annotations. Mean accuracy, precision, and recall with 95% confidence intervals (CI) were computed. Detailed error and sensitivity analyses were conducted to assess performance. Results The study included 100 patients (development: 15; test: 85) with 100 clinical notes (development: 15; test: 85) and 90 pathology reports (development: 13; test: 77). The mean age of these patients was 70 (SD: 10.6); 55 (55%) patients were men, and 93 (93%) patients were White. In the development set, the mean accuracy, precision, and recall for data extraction from clinical notes were 94% (95% CI: 90-98%), 92% (84-99%), and 99% (97-100%). For data extraction from pathology reports, the mean accuracy, precision, and recall were 96% (93-100%), 98% (92-100%), and 83% (63-100%). For prognostication, the mean accuracy, precision, and recall were 87% (79-94%), 80% (73-87%), and 100% using DIPSS (accuracy: 80%; precision: 73%; recall: 100%), DIPSS+ (accuracy: 93%; precision: 83%; recall: 100%) and MIPSS-70 (accuracy: 87%, precision: 83%; recall: 100%). In the test set, the mean accuracy, precision, and recall for data extraction from clinical notes were 96% (95% CI: 93-98%), 91% (87-96%), and 98% (97-100%). For data extraction from pathology reports, the mean accuracy, precision, and recall were 95% (92-98%), 93% (87-99%), and 90% (80-100%). For prognostication the mean accuracy, precision, and recall were 95% (94-96%), 89% (88-90%) and 99% (96-100%) using DIPSS (accuracy: 94%; precision: 89%; recall: 100%), DIPSS+ (accuracy: 95%; precision: 88%; recall: 95%) and MIPSS-70 (accuracy: 94%, precision: 90%; recall: 100%). Error analyses identified incorrect extractions by GPT-4 were related to the circulating blasts and constitutional symptoms variables from the clinical notes. Sensitivity analyses excluding the associated variables improved overall accuracy from 94% to 97% and 96% to 97% in the development and test sets, respectively. Similarly, incorrect extractions from the pathology reports were related to the CALR gene mutation variables. Sensitivity analyses excluding the associated variables improved the overall accuracy from 96% to 98% and 95% to 97% in the development and test sets, respectively. Conclusion LLMs and rule-based programming can accurately extract data from the electronic health records and prognosticate MF patients via DIPSS, DIPSS+, and MIPSS-70. The automated approach could significantly streamline clinical and research workflows, providing an efficient and less resource-intensive alternative to manual prognostication.