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Consideration of genomic determinants improves the diagnostic accuracy of oligomonocytic chronic myelomonocytic leukemia
Montalban‐Bravo, Guillermo , Wei, Yue , Chien, Kelly S. , Kanagal‐Shamanna, Rashmi , Bazinet, Alexandre , Kadia, Tapan M. , Pemmaraju, Naveen , Issa, Ghayas C., Wang, Sa , Patel, Keyur P. , Lasho, Terra, Finke, Christy M. , Al‐Kali, Aref , Gangat, Naseema , Mangaonkar, Abhishek A. , Román, David , Tefferi, Ayalew , Kantarjian, Hagop, Garcia‐Manero, Guillermo , Patnaik, Mrinal M. , Kanagal-Shamanna, Rashmi , Wu, Chong , Rodríguez‐Sevilla, Juan José , Bouligny, Ian , Natu, Anuya , Gurney, Mark E. , Hammond, Danielle , Bataller, Alex , Borthakur, Gautam , Short, Nicholas J. , DiNardo, Courtney D. , Ravandi, Farhad , Daver, Naval , Jabbour, Elias , Issa, Ghayas , Tang, Guilin , Medeiros, L. Jeffrey , Lasho, Terra, Csizmar, Clifford M. , Alkhateeb, Hassan B. , Arenillas, Leonor , Calvo, Xavier , Loghavi, Sanam

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 3849-3849

10.1182/blood-2025-3849 Get It

Abstract Recent updates to the monocyte count thresholds for diagnosing chronic myelomonocytic leukemia (CMML) have recognized oligomonocytic CMML (OM-CMML) as an early stage within the CMML spectrum. However, the clinical validity of these revised criteria remains uncertain without considering biological factors and might misclassify myelodysplastic syndromes (MDS) with mild monocytosis as CMML. To characterize the genomic landscape of OM-CMML, we evaluated OM-CMML (n=249), MDS (n=304) and myelodysplastic CMML (MD-CMML, n=358) patients (pts) treated at three academic institutions. Targeted next-generation sequencing was performed on bone marrow (BM) at initial diagnosis or first referral. OM-CMML was characterized by lower frequencies of biallelic TET2 (biTET2) and RAS pathway (RASp) gene mutations (BRAF, CBL, KRAS, NF1, NRAS and PTPN11) compared to MD-CMML (p<0.001) but higher frequencies than MDS (p<0.001). BM monocyte frequencies, assessed morphologically, were higher in OM-CMML than in MDS (p<0.001) but lower than in MD-CMML (p<0.001), indicating that OM-CMML is a heterogenous group including true CMML and distinct MDS subsets. Unsupervised hierarchical clustering based on genomic alterations across all cases (n=911) identified three distinct clusters: 1) TP53 alterations (predominantly multihit TP53) and complex karyotype (TP53-complex); 2) biTET2 or TET2-SRSF2 co-mutation (biTET2/SRSF2); 3) a heterogenous group lacking these features (not otherwise specifiable [NOS]). Among OM-CMML pts, 11%, 34% and 55% belonged to these clusters, respectively. Model-based unsupervised clustering further identified 9 unique clusters that could be consolidated into 6 groups: 1) TP53-complex; 2) biTET2/SRSF2; 3) SF3B1 (without biTET2 or SRSF2); 4) SRSF2 without TET2 and frequent IDH2 mutations (SRSF2-IDH2); 5) ASXL1 and U2AF1 mutations and copy number alterations (CNA-ASXL1/U2AF1); 6) no somatic mutations (No mutation). biTET2/SRSF2 group exhibited monocytic bias with higher AMC, PB and BM monocyte % even among OM-CMML cases. This bias was not attributed to higher RAS pathway mutation frequencies, as biTET2/SRSF2 cases had similar RASp mutation frequencies but lower median variant allele frequencies for RASp mutations compared to NOS cases (9% vs. 21%, p=0.029). PB monocyte partitioning using flow cytometry (FC) in a subset of OM-CMML pts (n=50) demonstrated higher frequency of classical monocytosis (>94% CD14+/CD16- monocytes) in biTET2/SRSF2 vs other OM-CMML. To further determine if biTET2/SRSF2 genotype defines a distinct biological subgroup, we performed RNA-sequencing of BM CD34+ cells from healthy donors (n=15) and pts with OM-CMML (n=12), MD-CMML (n=14) and MDS (n=55). Unsupervised clustering based on gene expression profiles revealed that biTET2/SRSF2 clustered irrespective of their diagnostic group with greater dispersion being observed based on diagnosis. MDS and CMML with biTET2/SRSF2 had less differentially expressed genes compared to MDS and CMML with biTET2/SRSF2 relative to other MDS and CMML genotypes. Among 138 OM-CMML pts in whom progression to overt CMML was evaluable, 37 (27%) progressed to overt CMML of which 26 (70%) belonged to the biTET2/SRSF2 group. Competing risk analysis confirmed higher cumulative incidence and shorter time to CMML progression among biTET2/SRSF2 OM-CMML. Using ElasticNet regression we identified BM monocytosis and 14 genomic variables (including biTET2 and TET2-SRSF2) as predictors of overt CMML progression among OM-CMML. We developed a score-based model able to predict progression with high reliability (AUC 0.805, sensitivity 0.70, specificity 0.76). Model accuracy was confirmed by optimism-corrected bootstrap internal validation (AUC 0.668). Monocytic bias, BM classical monocytosis (>94% CD16- monocytes) and higher overt CMML progression in biTET2/SRSF2 was confirmed in a validation cohort (28, 66 and 22 pts with OM-CMML, MDS and MD-CMML, respectively). BM monocytosis of biTET2/SRSF2 was confirmed in this cohort with morphologic and FC monocyte frequency quantification having high concordance (r=0.737, p<0.001). Genomic subgroup analysis discriminated survival outcomes more reliably than diagnostic categories alone. Our findings suggest that the presence of biTET2 or TET2-SRSF2 co-mutations, combined with BM monocytosis, can more reliably identify true CMML cases within the OM-CMML spectrum. Integrating genomic determinants into the CMML diagnostic framework enhances diagnostic accuracy.
Standardizing lines of treatment (LOT) in multiple myeloma: Real-world validation of an automated rule-based algorithm
Pérez, Patricia Alejandra Flores, Capdevila, Juan Pablo, Bórquez, Karla Mariana Castro, Bennion, Samuel, Hydren, Jay, Galbuchi, Giovanni, Jensen, Rachel, Barnes, Mason, Esparza, Jael Antonio Liñán, Quiroz, Felipe Flores, Ahlstrom, Jennifer, Auclair, Daniel, Banerjee, Rahul, Landgren, Ola, Coffey, David, Abdallah, Nadine, Shah, Urvi, Voorhees, Peter, Sborov, Douglas, Hultcrantz, Malin, Martinez, Jorge Arturo Hurtado, Pérez, Patricia Alejandra Flores, Capdevila, Juan Pablo, Bórquez, Karla Mariana Castro, Bennion, Samuel, Hydren, Jay, Galbuchi, Giovanni, Jensen, Rachel, Barnes, Mason, Esparza, Jael Antonio Liñán, Quiroz, Felipe Flores, Ahlstrom, Jennifer, Auclair, Daniel, Banerjee, Rahul, Landgren, Ola, Coffey, David, Abdallah, Nadine, Shah, Urvi, Voorhees, Peter, Sborov, Douglas, Hultcrantz, Malin, Martinez, Jorge Arturo Hurtado

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 8154-8154

10.1182/blood-2025-8154 Get It

Abstract Background Accurate reconstruction of electronic health record (EHR) treatment sequences is essential for leveraging real-world data (RWD) in clinical research and trial-eligibility platforms in multiple myeloma (MM). However, inconsistencies in RWD treatment documentation and the complexity of line-of-treatment (LOT) assignments in MM hinder reproducibility and limit comparisons against published trials. To address these limitations, we developed HEAL-MM, an automated rule-based algorithm that systematically parses structured medication data to calculate LOTs and segment treatment into standardized, clinically meaningful phases. The algorithm is designed to be interpretable, adaptable to evolving therapeutic frameworks, and compatible with widely adopted EHR data standards. Here, we report its real-world validation against expert-adjudicated treatment sequences to assess concordance, identify edge-case failure points, and support RWD integration. Methods A stratified cohort of 100 MM patients (9,136 structured treatment events) was curated from 114 unique healthcare systems compiled from the multi-institutional HealthTree Foundation harmonized registry. Cohort selection was randomized to ensure coverage across diagnostic eras (pre-2010, 2015–2020, 2022–2025) and treatment exposures, including CAR T-cell therapies, bispecific antibodies, and anti-CD38-based regimens. HEAL-MM sequenced MM regimens chronologically and applied predefined logic rules to identify LOT transitions, the initiation of a new therapeutic course based on drug changes, treatment gaps, and procedural anchors such as stem cell transplant or CAR T. Within each LOT, the algorithm segments and labels therapy into phases, clinically distinct intervals (e.g., induction and maintenance) using rule-based clinical logic. Outputs were benchmarked against expert-labeled adjudications. Concordance was evaluated using concordance index (C-index), stratified by patient, LOT depth and diagnostic era. Results: HEAL-MM demonstrated high concordance with expert-labeled treatment sequences: 0.94 for LOT identification, 0.98 for treatment phase segmentation, and 0.96 for phase label assignment. Achieving complete agreement with all expert annotations in 90% of patients for LOT assignment, 94% for the number of treatment phases identified, 77% for the specific labels applied to each phase, and 75% across all three dimensions simultaneously. Among discordant patients, the absolute difference in final LOT count was 0.5 ± 0.9. Performance was highest in early lines (LOTs 1–3; C-index: 0.97), with seven patients showing discrepancies at this stage. Concordance declined in later lines (LOT ≥4; C-index: 0.87), where 50% of the discordant cases (n=4) were attributable to misclassifications in earlier LOTs, such as medication restarts following >3-month gaps, demonstrating the compounding effect of early errors on longitudinal accuracy. Temporal stratification revealed improved accuracy in post-2020 cases (C-index: 0.94) compared to 2015–2020 cohorts (0.91), reflecting the increasing adoption of structured treatment standards and EHR data quality improvements. To assess HEAL-MM performance at clinically significant junctures, we analyzed treatment transitions that initiated a new LOT or marked a change in phase, achieving C-indices of 0.97 for LOT transitions, 0.97 for treatment phase shifts, and 0.94 for phase label assignment. Conclusions: HEAL-MM provides a validated, scalable solution for standardizing MM treatment structures in RWD environments, as it accurately detects the exact treatment entry of a new LOT 97% of the time. This rule-based framework enables reproducible LOT and phase assignment across heterogeneous EHR systems, supporting real-time cohort identification across institutions and EHR platforms. The algorithm's modular design allows for continuous integration of novel therapeutic categories and evolving treatment logic. While the algorithm maintained high fidelity overall, early-stage misclassifications consistent with increased heterogeneity and documentation ambiguity occasionally propagated downstream, underscoring the compounding effect of upstream errors in longitudinal reconstruction. With its generalizable structure and compatibility with industry-standard data models, HEAL-MM lays the foundation for structured treatment reconstruction in MM across RWD infrastructure and serves as a transferable blueprint for other hematologic malignancies.
Multicenter real-world outcomes in limited stage (LS) diffuse large B-cell lymphoma (DLBCL) treated with abbreviated immunochemotherapy
Cherng, Hua-Jay, Gerber, Drew, Nze, Chijioke, Bhayani, Shahzeem, Russler-Germain, David, Alnughmush, Ahmed, Hampel, Paul, Kille, Kelsey, Wallace, Danielle, Qualls, David, Merryman, Reid, Brooks, Jaden, Bock, Allison, Ramirez, Juan, Zhang, Yumeng, Chavez, Julio, Granger, Katelynn, Antel, Katherine, Duarte, Cassandra, Major, Ajay, Ma, Sirui, Spinner, Michael, Mackay, Alyssa, Hu, Bei, Rai, Manoj, Spurgeon, Stephen, Lee, Benjamin, Doh, Jean, Brem, Elizabeth, Altomare, Nicole, Karmali, Reem, Ryan, Robert, Tiger, Yun Kyoung, Carter, Jordan, Landsburg, Daniel, Thiruvengadam, Swetha, Skarbnik, Alan, Choi, Yun, Bond, David, Samaeekia, Ravand, Ma, Helen, Tolu, Seda, Amengual, Jennifer, Herrera, Alex, Pro, Barbara, Qualls, David , Qualls, David A , Cherng, Hua-Jay, Gerber, Drew, Nze, Chijioke, Bhayani, Shahzeem, Russler-Germain, David, Alnughmush, Ahmed, Hampel, Paul, Kille, Kelsey, Wallace, Danielle, Merryman, Reid, Brooks, Jaden, Bock, Allison, Ramirez, Juan, Zhang, Yumeng, Chavez, Julio, Granger, Katelynn, Antel, Katherine, Duarte, Cassandra, Major, Ajay, Ma, Sirui, Spinner, Michael, Mackay, Alyssa, Hu, Bei, Rai, Manoj, Spurgeon, Stephen, Lee, Benjamin, Doh, Jean, Brem, Elizabeth, Altomare, Nicole, Karmali, Reem, Ryan, Robert, Tiger, Yun Kyoung, Carter, Jordan, Landsburg, Daniel, Thiruvengadam, Swetha, Skarbnik, Alan, Choi, Yun, Bond, David, Samaeekia, Ravand, Ma, Helen, Tolu, Seda, Amengual, Jennifer, Herrera, Alex, Pro, Barbara

Blood | December 4, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 471-471

10.1182/blood-2025-471 Get It

Abstract Background: For LS-DLBCL, clinical trials (FLYER, LYSA/GOELAMS 02-03, LYSA LNH09-1B, S1001) have shown that 4 cycles of rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone (RCHOP4) without radiation (RT) leads to durable remissions in >90% of cases. However, only patients (pts) with non-bulky disease and/or international prognostic index (IPI) of 0 and complete metabolic response (CMR) on interim positron emission tomography (PET) scan, if performed, were eligible for RCHOP4 alone in these studies. Outcomes in trial-ineligible LS-DLBCL and the appropriate real-world candidates for RCHOP4 are still undefined. Methods: We conducted a multicenter retrospective study of adult pts with stage I/II DLBCL of any tumor bulk, IPI and with or without B-symptoms diagnosed after 2011 and treated with RCHOP4 +/- 2 cycles R from 21 U.S. centers. Pts with PMBCL, PTLD or receiving non-standard dose RCHOP for cycle (C) 1 or planned consolidative RT were excluded. The primary endpoint was PFS from C1 by Kaplan-Meier method, not counting indolent lymphoma relapse. Event free survival (EFS) was time to next therapy without progression (including unplanned RT for non-CR), progression or death. A competing risks analysis of non-relapse mortality (NRM) vs. DLBCL progression was performed. Results: The characteristics of the 428 pts were: median age 60 (18-88), 60% male, 11% Hispanic and 4% non-Hispanic Black, 62% stage I, 15% elevated LDH, 3% ECOG PS>1, 5% tumor bulk >7cm, 9% had B-symptoms and median Charlson Comorbidity Index (CCI) was 4 (2-12). IPI was 0, 1 and 2-3 in 42%, 46% and 12% and stage-modified IPI (smIPI) was 0, 1, 2 and 3-4 in 25%, 48%, 21% and 6% of pts. 66% had nodal (59% head/neck, 11% pelvic, 9% multiple above diaphragm, 7% abdominal) and 46% extranodal sites (37% head/neck, 20% gastric/intestinal, 9% spleen, 8% skin/soft tissue); 6% had transformed/concurrent FL/MZL or grade 3B FL, 33% (138/408) were non-GCB cell of origin (COO), 25% (90/357) double expressor (DEL) and 0.5% (2/379) double-hit. 13% had completely resected disease, 97% staging PET and 47% bone marrow biopsy. Median diagnosis to treatment interval was 30 days (IQR 20-43), 6% had dose reductions after C1, 77% had an interim PET (iPET) after C2 (33%) or C3 (67%), 15% received 2 additional cycles R and 4% CNS prophylaxis. CMR rates by iPET were 83% after C2 and 94% after C3, and 95% by end-of-treatment PET. iPET PMR was more likely if smIPI>2 or bulky disease. Median follow-up time was 2.7 years. There were 32 progression events: 14 occurred at the primary site and 17 at distant sites (1 unknown), and 12 occurred after 2 years. Another 11 pts received unplanned RT after RCHOP4 for non-CR. There were 24 deaths, 12 without prior progression. Cause of death was DLBCL in 7 and non-DLBCL in 17 cases (6 infection, 2 ILD, 2 heart failure, 2 second cancer, 1 seizure, 4 unknown). EFS, PFS and OS rates were 88%, 90% and 96% at 3 years. By univariable Cox regression, Black race, elevated LDH, smIPI>2, DEL, increasing CCI, multiple subdiaphragmatic nodal sites and iPET PMR were associated with worse PFS. Non-significant variables of note included COO, extranodal sites, complete resection, missing bone marrow biopsy, missing iPET and additional cycles R. By multivariable analysis (including age>60, stage, ECOG PS>1, elevated LDH, bulky disease, CCI, B-symptoms and DEL), ECOG PS>1 (HR 3.95 p=0.050), CCI (HR 1.29 p=0.003) and DEL (HR 2.02 p=0.069) were associated with worse PFS. Cumulative incidence of DLBCL progression and NRM were 8% and 2% at 3 years. Competing risk analysis by univariable models found that age>60, ECOG PS>1, smIPI>2, elevated LDH, CCI and bulky disease were associated with NRM, while DEL and B-symptoms were associated with DLBCL progression.Conclusion: Presented is the largest retrospective cohort of LS-DLBCL treated uniformly with RCHOP4 to date. Despite modest follow-up time and lack of an “intention-to-treat“ population, this study shows that abbreviated RCHOP4 leads to excellent outcomes in the real-world, albeit with continuous risk of late relapse. smIPI risk factors were associated with worse PFS, though this may in part be driven by risk of non-lymphoma death. As pts with advanced age, poor performance status or comorbidities may benefit from reduced treatment exposure, RCHOP4 should still be considered for these and other “trial-ineligible” pts, particularly if other high-risk features (iPET PMR, DEL or B-symptoms) are absent.
A High-Fiber, Plant-Based Diet in Myeloma Precursor Disorders: Results from the NUTRIVENTION Clinical Trial and Preclinical Vk*MYC Model
Shah, Urvi A. , Cogrossi, Laura Lucia , Garcés, Juan‐José , Policastro, Anna , Castro, Francesca , Derkach, Andriy , Fei, Teng , DeWolf, Susan , Grioni, Matteo , Sisti, Sofia , Blaslov, Jenna , Adintori, Peter , McAvoy, Devin , Baichoo, Mirae , Paredes, Jenny , Anuraj, Aishwarya , Pohl, Charlotte , Zinsmeyer, Victoria , Gipson, Brianna , Marchigiani, Camilla , Pagani, Sara , Salehi, Erica , Block, Torin , Korde, Neha , Tan, Carlyn , Hultcrantz, Malin , Hassoun, Hani , Scordo, Michael , Lahoud, Oscar , Landau, Heather , Peled, Jonathan U. , Chesi, Marta , Mailankody, Sham , D’Souza, Anita , Iyengar, Neil M. , Adintori, Peter A , Hosszu, Kinga K , McAvoy, Devin , Baichoo, Mirae , Cross, Justin R , Paredes, Jenny , Anuraj, Aishwarya , Raj, Sandeep S , Pohl, Charlotte , Zordan, Paola , Zinsmeyer, Victoria , Jesus Faustino Ramos, Ruben J , Lorenzoni, Marco , Gipson, Brianna , Maclachlan, Kylee , Gradissimo, Ana , Boiocchi, Leonardo , Aleynick, Nathan , Marchigiani, Camilla , Pagani, Sara , Salehi, Erica , Koche, Richard P , Chaligne, Ronan , Block, Torin , Korde, Neha , Tan, Carlyn R , Hultcrantz, Malin , Hassoun, Hani , Shah, Gunjan L , Scordo, Michael , Lahoud, Oscar B , Chung, David J , Landau, Heather , Peled, Jonathan U , Clementi, Nicola , Chesi, Marta , Bergsagel, P. Leif , Mailankody, Sham , Pollak, Michael N , D'Souza, Anita , Landgren, C Ola , Chimonas, Susan , Giralt, Sergio , Usmani, Saad , Iyengar, Neil M , Lesokhin, Alexander M , van den Brink, Marcel R M , Bellone, Matteo , Shah, Urvi A , Derkach, Andriy , Garces, Juan-Jose , Fei, Teng , Maclachlan, Kylee , Aleynick, Nathan , Shah, Gunjan L. , Bergsagel, P. Leif , Pollak, Michaël , Landgren, Ola , Giralt, Sergio , Usmani, Saad Z. , Lesokhin, Alexander M. , Bellone, Matteo

Cancer Discovery | December 4, 2025 | Volume: 16 | Issue: 4 | Pages: 697-720

10.1158/2159-8290.cd-25-1101 | PMID 41342739 Get It

Abstract Consumption of a Western diet and high body mass index (BMI) are risk factors for progression from premalignant phenotypes to multiple myeloma, a hematologic cancer. In the NUTRIVENTION trial (NCT04920084), we administered a high-fiber, plant-based diet (HFPBD; meals for 12 weeks, coaching for 24 weeks) to 23 participants with myeloma precursor states and elevated BMI. The intervention was feasible and improved quality of life and modifiable risk factors: metabolic (BMI, insulin resistance), microbiome (diversity, composition), and immune (inflammation, monocyte subsets). Disease progression trajectory improved (n = 2) or was stable. Findings were translated to Vk*MYC mice modeling the myeloma precursor state, in which a high-fiber diet (HFD) delayed disease progression through improved metabolism and microbiome composition, leading to increased short-chain fatty acid production that reinvigorated antitumor immunity and inhibited tumor growth. These effects from fiber consumption were independent of calorie restriction and weight loss. A HFD is a low-risk intervention that may delay progression to myeloma. Significance: A HFPBD in participants with precursor plasma cell disorders and an elevated BMI improved metabolic, microbiome, and immune biomarkers of disease. In a subset, it may delay progression to myeloma. In mouse models, a HFD delayed progression to myeloma independent of calorie restriction. See related commentary by Fairfield and Reagan, p. 623
Safety, Efficacy, and Mid-Term Outcomes of Pulsed Field Ablation for Cavotricuspid Isthmus–Dependent Flutter: Real-World Data From a Major Health System Registry
Rodriguez, Juan F. , Vemulapalli, Hema Srikanth , Prajapati, Poojan , Muthu, Padmapriya , Kim, James Y. , Sorajja, Dan , Shen, Win‐Kuang , Masry, Hicham El , Valverde, Arturo M. , Munger, Thomas M. , Rodriguez-Riascos, Juan F , Vemulapalli, Hema S , El Masry, Hicham , Sardana, Mayank , Valverde, Arturo M , Srivathsan, Komandoor , Muthu, Padmapriya , Srivathsan, Komandoor , Kim, James

Circulation: Arrhythmia and Electrophysiology | December 2, 2025 | Volume: 18 | Issue: 12 | Pages: No page available

10.1161/circep.125.014276 | PMID 41328574 Get It

BACKGROUND: Cavotricuspid isthmus (CTI) ablation is frequently performed either as a standalone procedure or in combination with pulmonary vein isolation. With the rapid adoption of pulsed field ablation for atrial fibrillation, it is essential to delineate the utility of this modality in treating CTI-dependent atrial flutter (AFL). This study aims to evaluate the procedural and clinical outcomes of CTI ablation using pulsed field energy. METHODS: We conducted a retrospective analysis of consecutive patients who underwent pulsed field ablation for CTI-dependent AFL between January 2024 and March 2025. The primary end points were acute procedural success, periprocedural complications, and CTI-dependent AFL recurrence during follow-up. RESULTS: A total of 132 patients underwent CTI nonthermal ablation. The median age was 69.5 years, and 27.3% were female. The Farawave catheter was used in 93.9% of cases, PulseSelect in 4.5%, and Sphere-9 in 1.5%. Acute block was achieved in 99.2% of patients, although 8 required adjunctive radiofrequency ablation to complete the line. Periprocedural complications included transient ST-segment elevation in 2 patients and transient conduction disturbances in 3. During a median follow-up of 114 days (n=131), 5 patients (3.8%) experienced recurrence of typical AFL. The 6-month typical AFL-free survival estimate was 93.6%. CONCLUSIONS: Pulsed field ablation appears to be a feasible and effective strategy for CTI-dependent AFL. However, anatomic variability may limit its universal applicability with current catheter designs. Although acute procedural success is high, the long-term durability of the CTI block and its comparative efficacy versus conventional thermal ablation remain areas requiring further investigation.
Diagnostic and Prognostic Value of High‐Sensitivity Troponin T for Cardiovascular Outcomes in Patients Receiving Immune Checkpoint Inhibitor Therapy
Pereyra, Milagros , Kanaan, Christopher , Tagle‐Cornell, Cecilia, Novais, Barbara S., Koepke, Laura, Kenyon, Courtney , Mahmoud, Ahmed , Ali, Nima Baba , Narayanasamy, Hemalatha , Tamarappoo, Balaji , Herrmann, Joerg, Ayoub, Chadi , Pereyra, Milagros , Kanaan, Christopher N , Tagle-Cornell, Cecilia, Koepke, Laura M, Kenyon, Courtney R , Mahmoud, Ahmed K , Abbas, Mohammed Tiseer , Baba Ali, Nima , Larsen, Carolyn M , Narayanasamy, Hema , Lee, Kwan S , Arsanjani, Reza , Ayoub, Chadi , Farina, Juan M. , Awad, Kamal , Scalia, Isabel G. , Abbas, Mohammed Tiseer , Larsen, Carolyn , Lee, Kwan , Herrmann, Joerg, Arsanjani, Reza

Journal of the American Heart Association | November 26, 2025 | Volume: 15 | Issue: 6 | Pages: No page available

10.1161/jaha.125.041680 | PMID 41294120 Get It

Background Immune‐checkpoint inhibitors (ICI) are associated with adverse cardiac events. Although troponin elevation is a diagnostic criterion for ICI‐related myocarditis (ICIrM) and myocardial infarction, data on other causes of troponin elevation and their outcomes in ICI‐treated patients are limited. Methods All patients treated with ICI who had hs‐TnT (high‐sensitivity troponin T) measured at a multicenter institution from 2011 to 2022 were included. Clinical data, outcomes (cardiac death, heart failure (HF), major adverse cardiovascular events [myocardial infarction, stroke, heart failure]), and cause of hs‐TnT elevation were assessed. Risks of cardiac events were compared across hs‐TnT elevation causes. Results Of 5423 patients treated with ICI, 1669 had post‐ICI hs‐TnT measurement (mean age 68.7±11.3 years, 58.3% male), with 1‐year follow‐up. Hs‐TnT elevation in patients with ICIrM (n=59) was associated with the highest risk for cardiac death (hazard ratio [HR], 52.7 [95% CI, 11.7–238.0], P <0.001), followed by hs‐TnT elevation due to heart failure (HR, 15.9), myocardial infarction/type 2 ischemia (HR, 11.6), and infection/sepsis (HR, 5.7), compared with those with no hs‐TnT elevation. ICIrM also carried highest risk for major adverse cardiovascular events (HR, 8.2, [95% CI, 4.4–15.3], P <0.001), followed by myocardial infarction/type 2 ischemia (HR, 8.1), heart failure (HR, 7.6), pulmonary embolus (HR, 5.1), infection/sepsis (HR, 4.1), and indeterminate cause (HR, 2.4). Among ICIrM, HsTnT value >576 ng/L best predicted risk for cardiac death and >319 ng/L for major adverse cardiovascular events. Conclusions Hs‐TnT elevation after ICI therapy is associated with increased risk of cardiac events, particularly in ICIrM, and a graded prognostic association depending on the cause of hs‐TnT elevation. Identifying the underlying cause and troponin thresholds may guide risk stratification and management.
Apolipoprotein E and Alzheimer's disease pathology in a diverse autopsy study
Suemoto, Cláudia Kimie , Paes, Vítor Ribeiro , Pasqualucci, Carlos Augusto , Zatz, Mayana, Santos, Gabriela Cicalise de Souza , Alexandria, Marvin Afonso Longo Salvador de, Pereira, Ana C. , Suemoto, Claudia Kimie , Leite, Renata Elaine Paraizo , Paradela, Regina Silva , Ferriolli, Eduardo , Fortea, Juan , Naslavsky, Michel Satya , Grinberg, Lea T.

Alzheimer's & Dementia | November 21, 2025 | Volume: 21 | Issue: 11 | Pages: No page available

10.1002/alz.70927 | PMID 41268805 Get It

Abstract INTRODUCTION Apolipoprotein E allele 4 (APOE ε4) is the main genetic risk factor for late‐onset Alzheimer's disease (AD), but most evidence comes from White populations in high‐income countries. We investigated APOE and AD pathology in an ethnically diverse Brazilian autopsy cohort. METHODS This cross‐sectional study used Biobank for Aging Studies (BAS) data. AD pathology was evaluated with Braak, Consortium to Establish a Registry for Alzheimer's Disease, and Thal criteria. APOE genotypes were obtained from blood or brain tissue. Regression models were adjusted for age, sex, race, and education; interaction with race was tested. RESULTS Among 1391 participants (mean age 75.1 ± 12.4 years, 50% women, 64% White), APOE ε4showed a dose response with greater AD pathological burden and higher odds of AD diagnosis, while APOE ε2/X was protective. APOE ε4/ε4 did not show full penetrance across age groups. Associations were similar in White and Black individuals. DISCUSSION APOE ε4was strongly associated with AD pathology, with consistent associations across racial groups. Highlights APOE ε4 increased AD neuropathological burden in Brazilians. APOE ε2/εX was protective against AD pathology. APOE ε4/ε4did not show full penetrance across age groups. Associations between APOE and AD pathology were similar by race. Large multiethnic autopsy study expands evidence beyond high‐income country studies.
Response to Letter Regarding “Sodium–Glucose Cotransporter‐2 Inhibitors and Stroke Risk in Patients With Atrial Fibrillation”
Mee, Xuan Ci , Ibrahim, Ramzi , Lim, Ghee Kheng, Abdelnabi, Mahmoud , Habib, Eiad , Lee, Justin Z. , Lester, Steven J., Scott, Luis R. , Sorajja, Dan , Ayoub, Chadi , Mee, Xuan Ci , Ibrahim, Ramzi , Ibrahim, Ramzi , Lim, Ghee Kheng, Pham, Hoang Nhat , Farina, Juan M. , Lee, Kwan , Arsanjani, Reza

Journal of Cardiovascular Electrophysiology | November 19, 2025 | Volume: 37 | Issue: 1 | Pages: 216-217

10.1111/jce.70189 | PMID 41255042 Get It

Evaluating Pulsed Field Ablation for Atrial Fibrillation: A Systematic Review and Meta‐Analysis of Procedural Outcomes
Prajapati, Poojan , Rodriguez, Juan F. , Muthu, Padmapriya , Vemulapalli, Hema S , Rodriguez-Riascos, Juan F , Vemulapalli, Hema Srikanth , Srivathsan, Komandoor

Pacing and Clinical Electrophysiology | November 18, 2025 | Volume: 49 | Issue: 2 | Pages: 124-142

10.1111/pace.70082 | PMID 41251427 Get It

ABSTRACT Background While radiofrequency ablation (RFA) and cryoablation (CBA) are established treatments for atrial fibrillation (AF), pulsed field ablation (PFA) offers potential benefits. This study compares PFA's procedural outcomes with RFA and CBA. Methods A PRISMA‐guided systematic review searched PubMed, Cochrane, Embase, and Scopus through September 2024. Studies comparing PFA to RFA or CBA in paroxysmal and persistent AF were included. Results From 1413 titles, 28 studies (7944 patients, 4–13 months follow‐up) met inclusion criteria. PFA showed lower recurrence versus RFA (RR = 0.85, p < 0.05) and CBA (RR = 0.81, p < 0.01). Procedure times were shorter versus RFA (‐46.39 min, p < 0.01) and CBA (‐9.26 min, p < 0.01). PFA had fewer complications than CBA (RR = 0.45, p < 0.01) and thermal ablation (RR = 0.55, p < 0.01), with similar rates to RFA (RR = 0.81, p = 0.25). Fluoroscopy times were higher. Conclusion Promising results with PFA suggest it as a viable alternative to thermal ablation.
Spinal versus general anesthesia in robotic minimally invasive transforaminal lumbar interbody fusion: a comparative study on surgical outcomes
Llano, Juan P Navarro-Garcia de , Iyer, Harshvardhan , Sánchez-Garavito, Jesús E. , Safa, Adrian , Campo, Isabel Martin del , Graepel, Stephen , Patterson, Jennifer S., White, Kate E., Bojaxhi, Elird , Navarro-Ramírez, Rodrigo , Buchanan, Ian A. , Chen, Selby G. , Roberts, Andrew P, Martin Del Campo, Isabel, Iyer, Harshvardhan G , Ríos-Zermeño, Jorge , Roberts, Andrew P., ReFaey, Karim , Akinduro, Oluwaseun O. , Chen, Selby , Abode-Iyamah, Kingsley

Journal of Neurosurgery: Spine | November 17, 2025 | Volume: 44 | Issue: 1 | Pages: 99-107

10.3171/2025.6.spine25442 | PMID 41105976 Get It

OBJECTIVE The implementation of robotics and spinal anesthesia (SA) in spine surgery is rapidly expanding, offering significant benefits for an increasingly complex and aging patient population with degenerative spinal disease. Here, the authors present the largest cohort to date evaluating the combined use of these two techniques in minimally invasive (MIS) transforaminal lumbar interbody fusion (TLIF). METHODS The authors retrospectively analyzed surgical outcomes of a series of patients who underwent robot-assisted (RA)–MIS TLIF under SA and general anesthesia (GA) at their institution from 2018 to 2024. Primary outcomes included operative times and postoperative pain intensity. Secondary outcomes included estimated blood loss, intraoperative complications, postoperative functional status, length of stay (LOS), and discharge status. To address potential confounders, a 1:1 propensity score–matching and regression analysis was implemented. Statistical analyses were conducted using Python. RESULTS A total of 209 patients underwent RA-MIS TLIF, with 31 (14.83%) receiving SA and 178 (85.17%) GA. After propensity score matching, the SA cohort demonstrated significantly shorter median total operating room (OR) time, total procedure time, time from entering the OR to skin incision, and time from closure to leaving the OR (all p < 0.01). Additionally, postoperative pain scores were significantly lower (p < 0.01), and LOS was significantly shorter (p < 0.01) in the SA cohort. Regression analysis, adjusting for potential confounders, further supported these findings. CONCLUSIONS RA-MIS TLIF fusion under SA is a safe and effective approach that significantly reduces operative time, postoperative pain, and hospital LOS in patients undergoing surgery for degenerative lumbar spine disease.