Citations

Abstract Background: Clostridium ramosum ( C. ramosum ) is an anaerobic gram-positive bacillus of the human intestine and a rare cause of bacteremia. This retrospective cohort study evaluated clinical characteristics and outcomes of a multicenter cohort of adults with C. ramosum bacteremia. Methods: This multicenter retrospective cohort included adults (≥ 18 years) with true C. ramosum bacteremia at Mayo Clinic hospitals in Arizona, Florida, Minnesota, and Wisconsin from September 1, 2012, through December 31, 2025. Data were collected through search for C. ramosum in microbiological culture records. Clinical characteristics assessed included immune status, source of bacteremia, presence of sepsis, neutropenic fever, monomicrobial vs. polymicrobial bacteremia, antimicrobial resistance patterns, antimicrobial therapy, length of stay and 30-day all cause mortality. Exploratory odds ratios (ORs) with 95% confidence intervals (CIs) were reported. Results: Among 90 patients with a positive C. ramosum blood culture, 17 were classified as contaminants and 73 comprised the study cohort. Median age was 66.0 years (IQR, 56.0–75.0); 44 (60.3%) were male and 33 (45.2%) were immunocompromised (including 26 with active malignancy, while the remaining 7 were received biologic immunosuppression). The most common infection sources were gastrointestinal (32/73, 43.8%) and central line-related (8/73, 11%). At presentation, 50.7% of patients met criteria for sepsis and 15/73 (20.5%), were in septic shock. Of 73 isolates tested, 31/73 (44.3%) were clindamycin resistant and 9/73 (12.9%) tested intermediate. Anaerobic-active antimicrobial therapy was received by 53/73 (72.6%). Thirty-day mortality was 11/73 (15.1%). Mortality was 30.0% (6/20) with therapy without reliable anaerobic activity and 9.4% (5/53) with anaerobic-active antimicrobial therapy (OR, 4.02; 95% CI, 0.88–19.46; P = 0.060). The median hospital LOS was 8.0 days. Among 30-day survivors, anaerobic active antimicrobial therapy was associated with a shorter median LOS compared to therapy without reliable anaerobic activity (8.5 vs. 12.0 days). Immunocompromised patients had higher odds of monomicrobial C. ramosum bacteremia than immunocompetent patients (OR 3.16, 95% CI 1.19–8.39; p = 0.03). Patients with polymicrobial bacteremia had higher odds of sepsis (OR, 3.89; 95% CI, 1.43–10.55; P = 0.008) and septic shock (OR, 5.66; 95% CI, 1.17–27.36; P = 0.020). Patients with malignancy or neutropenia demonstrated significantly lower odds of presenting in septic shock (p = 0.018; p = 0.029 retrospectively). Microbiological clearance was achieved in 91.3% (42/46) of evaluable cases. Conclusions: This largest reported cohort defines the clinical and microbiological profile of C. ramosum bacteremia. Frequent clindamycin nonsusceptibility is clinically actionable. Several clinical associations found on univariable analysis should be further investigated in larger studies.

Background: Cocaine use and cardiovascular disease (CVD)-related mortality trends in the U.S. are underreported. Using the CDC’s Wide-Ranging Online Data for Epidemiologic Research database, we analyzed the relationship between cocaine use and CVD-related deaths. Methods: We analyzed death certificates from the Multiple Cause of Death dataset to identify CVD-related deaths involving cocaine use. Age-adjusted mortality rates (AAMRs) per 1 000 000 and annual percentage changes (APCs) were calculated using Joinpoint Regression. Results: From 1999 to 2022, 82 944 deaths were linked to cocaine use and CVDs. AAMRs rose from 9.6 in 1999 to 32 in 2022. Mortality trends varied by demographics and regions. Males and females showed early increases (1999–2006), declines (2006–2012), and sharp rises (2012–2022), with APCs of 11.8% and 12.8%, respectively. Non-Hispanic Black individuals exhibited consistently higher rates than non-Hispanic Whites, though both groups experienced sharp increases starting in 2014 (APCs: 12.5 and 12.7%). Geographic trends revealed early 2000s increases, mid-2000s declines, and rapid rises beginning in the 2010s. The Northeast and South had notable APCs of 13.5 and 12.6% (2013–2022). Rural areas initially showed steeper increases than urban areas but displayed steady upward trends since 2011 (APC: 9.5%). Age-wise, older adults experienced a particularly sharp rise from 2012 to 2022 (APC: 15.0%). Conclusion: Cocaine use and CVD-related mortality rose significantly from 1999 to 2022, with pronounced increases among men, non-Hispanic Black individuals, older adults, urban residents, and those in the South. These findings highlight a growing public health crisis.

Abstract Background: Immune checkpoint inhibitors (ICIs) have improved survival in non-small-cell lung cancer (NSCLC), yet only a subset of patients benefits, and biomarkers like PD-L1 remain limited. Here, we introduce a deep learning-based pathomics framework that utilizes routine H&E-stained slides to predict therapeutic response and survival outcomes in ICI-treated metastatic NSCLC. Methods: The study included 797 ICI-treated NSCLC patients from MD Anderson, with external validation in 280 patients from Mayo Clinic, Gustave Roussy, and the Phase III ICI-naïve LUSC Lung-MAP S1400I trial receiving nivolumab with or without ipilimumab. Path-IO (Pathology-Driven Immunotherapy Optimization) comprised of four major steps: (1) pathologist-verified tissue classifier segmented WSIs into eight compartments—Background, Bronchi, Immune, Lung, Necrosis, Stroma, Tumor, and Vessel—and was validated on TCGA and CPTAC dataset; (2) a survival prediction module generating patient-level risk scores in the MD Anderson cohort and validated across external datasets; (3) integration of Path-IO risk scores with radiomics and clinical features to improve prognostic accuracy; and (4) biological interpretability analyses correlating Path-IO risk immune contexture from multiplex immunofluorescence and transcriptomic signatures from NanoString profiling. Results: Path-IO effectively stratified patients into high and low-risk groups with significant survival differences. In the MD Anderson cohort, it achieved HR = 2.11 (p < 0.001) and HR = 2.51 (p < 0.001) for OS in the discovery and validation sets, and HR = 2.34 (p < 0.001) and HR = 1.87 (p < 0.001) for PFS, respectively. In the multicenter Phase III Lung-MAP S1400I trial, Path-IO achieved HR = 1.78 (p = 0.016) for OS and HR = 2.76 (p = 0.006) for PFS. In external validation, it predicted outcomes in the Gustave Roussy (OS = 1.97, p = 0.003; PFS = 1.51, p = 0.046) and Mayo Clinic (OS = 2.46, p = 0.007; PFS = 2.45, p = 0.027) cohorts. Path-IO outperformed PD-L1 and remained an independent predictor in multivariate analysis (p < 0.001). It enabled data-driven frontline selection between anti-PD-1 monotherapy and chemo-immunotherapy, offering guidance toward more personalized treatment decisions. Integration with radiomics and clinical features further improved predictive accuracy (OS 0.63→0.75; PFS C-index 0.58→0.70), while high Path-IO risk scores correlated with immune-cold phenotypes identified by multiplex immunofluorescence and NanoString transcriptomics. Conclusions: Path-IO demonstrates that deep learning models rooted in histopathologic architecture can generate interpretable and biologically informed survival predictions in NSCLC treated with ICIs. By integrating pathology, radiology, and clinical data, Path-IO provides complementary predictive value beyond established biomarkers such as PD-L1. Citation Format: Rukhmini Bandyopadhyay, Linghzi Hong, Mihaela Aldea, Shenduo Li, Lodovica Zullo, Frank R. Rojas, Maliazurina B. Saad, Maricel C. Marin, Muhammad Waqas, Jiexin Zhang, Eman Showkatian, Claudio A. Arrechedera, Xiaoyu Han, Yuliya Kitsel, Sherif Ismail, Muhammad Aminu, Bo Zhu, Carol C. Wu, Brett W. Carter, Joe Y Chang, Zhongxing Liao, Maria R. Ghigna, Davide Soldato, Hai T. Tran, Xiuning Le, Tina Cascone, Bingnan Zhang, Haniel A. Araujo, Mehmet Altan, Simon Heeke, David Jaffray, Don L. Gibbons, Ara Vaporciyan, J Jack Lee, Neda Kalhor, Cara Haymaker, Ignacio Wistuba, John V. Heymach, Yanyan Lou, Natalie Vokes, Luisa M. Solis Soto, Jianjun Zhang, Jia Wu. Path-IO: A deep learning pathomics framework for personalized immunotherapy selection and outcome prediction in metastatic non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4003.

Abstract Purpose Although the Woven EndoBridge (WEB) device is increasingly used for the treatment of wide-neck intracranial aneurysms, including in the acute rupture setting, comparative evidence assessing the impact of rupture status remains limited. This study compared angiographic, safety, and clinical outcomes between ruptured and unruptured intracranial aneurysms treated with WEB. Methods We conducted a retrospective analysis of prospectively collected data from the multicenter cohort registry WorldWideWEB, including consecutive adult patients with intracranial aneurysms treated with the WEB. Patients were stratified into groups of ruptured and unruptured aneurysms. Propensity score matching was used to balance baseline characteristics between both groups. Retreatment rate was the primary outcome. Secondary outcomes included mRS, safety events (thromboembolic complications) and angiographic outcomes (periprocedurally and last follow-up). Results Among 1,220 patients, 342 (28.0%) presented with ruptured aneurysms. There was no significant difference in the rate of thromboembolic complications between groups (11.8% vs 5.9%, p = 0.056). At follow-up, adequate occlusion was lower (82.2% vs 93.3%, p < 0.002) and functional outcomes were worse (mRS ≥2 in 34.1% vs 21.9%, p = 0.012) among patients with ruptured aneurysms. Periprocedural adequate occlusion (53.3% vs 53.8%, p>0.9) and retreatment rates (11.8% vs 7.1%, p = 0.14) did not differ between groups after matching. Conclusion Ruptured aneurysms demonstrated expected inferior follow-up functional and angiographic outcomes when compared with unruptured aneurysms, but no difference in retreatment rate and procedural safety. These findings support WEB as a safe and effective treatment option for appropriately selected ruptured intracranial aneurysms in routine clinical practice.

ABSTRACT Background Lung cancer (LC) and respiratory failure (RF) are leading causes of adult mortality worldwide. Analyzing long‐term mortality trends across demographic, racial, geographic, and socioeconomic groups is essential to address disparities and enhance outcomes. This study investigates US national mortality patterns for LC and RF from 1999 to 2023, focusing on changes in age‐adjusted mortality rates (AAMRs) and key disparities. Methods Mortality data from the CDC WONDER database (1999–2023) for adults aged 25+ with LC (ICD‐10: C34) or RF (ICD‐10: J96) were analyzed. AAMRs per 100,000 were calculated, stratified by gender, race/ethnicity, region, state, and urban–rural status. Temporal trends were assessed using Joinpoint regression to estimate annual percent changes (APCs) with 95% confidence intervals (CIs), with significance at p < 0.05. Results Over 1999–2023, 456,325 deaths from LC and RF were recorded. AAMRs declined from 1999 to 2010 (APC = −1.2, 95% CI: −1.6 to −0.9) but rose from 2010 to 2023 (APC = 1.4, 95% CI: 1.1–1.7). Men's AAMRs steadily decreased, whereas women's dropped initially, then increased from 2011 to 2023 (APC = 2.0, 95% CI: 1.7 to 2.5). Non‐Hispanic Whites saw a sharp AAMR rise from 2014 to 2017 (APC = 2.7, 95% CI: 0.9 to 3.3), with other racial/ethnic groups showing mixed trends. Regionally, the Northeast had the highest AAMRs (8.6, 95% CI: 8.5 to 8.7), and the Midwest the lowest (7.1, 95% CI: 7.0 to 7.1). Metropolitan areas saw increases post‐2006, whereas nonmetropolitan areas rose after 2009 (APC = 2.3, 95% CI: 1.8–3.1). Mississippi had the highest state AAMR (14.0, 95% CI: 13.7–14.4), Wisconsin the lowest (3.7, 95% CI: 3.5–3.8). Conclusion LC and RF mortality declined until 2010, then increased, revealing significant disparities. Targeted interventions are critical to address these trends and reduce inequities.

Background The Woven EndoBridge (WEB) device represents an innovative solution for cerebral aneurysm occlusion, particularly for challenging wide-neck bifurcation aneurysms. However, factors affecting sustained occlusion remain poorly understood. We utilized machine learning to attempt to identify predictors of favorable long-term outcomes following WEB treatment. Methods In this multicenter retrospective study, we collected patient demographics, aneurysm characteristics, procedural details, and clinical outcomes. The primary endpoint was improvement in occlusion status, defined as maintained Raymond-Roy Occlusion Classification (RROC) grade 1, or improvement from grade 2 to 1, or from grade 3 to either 2 or 1 on final angiographic follow up. The dataset was split into training (75%) and validation (25%) sets. The CatBoost algorithm was selected based on performance metrics, with Shapley Additive exPlanations (SHAP) values calculated to determine feature importance. Furthermore, a multivariable binomial logistic regression model was performed to validate machine learning findings. Results Among 720 aneurysms from 36 hospitals, 84% showed improvement in occlusion at follow up. Both machine learning and multivariable logistic regression identified aneurysm height as the most consistent correlate of nonimprovement (odds ratio (OR) 0.90 per mm, p = 0.022). In the CatBoost model, the highest-ranking features by SHAP included aneurysm height, patient age, treatment acuity, ACom location, WEB-SLS device, bifurcation anatomy, aneurysm multiplicity, baseline modified Rankin Scale, access route, and partial thrombosis. Conclusions Machine-learning and regression analyses identified consistent predictors of occlusion improvement after WEB treatment, with aneurysm height most strongly linked to nonimprovement. These insights may guide patient selection and follow up. Findings require cautious interpretation and external validation in larger cohorts.

Abstract Disclosure: R. Haider: None. M. Waqas: None. S. Khan: None. A. Ullah: None. M. Khawar: None. A. Qadeer: None. M. Talha: None. A. Batool: None. A. Khan: None. M.Z. Haider: None. R.W. Kirchoff: None. Background: Hypothyroidism and heart failure (HF) contribute significantly to mortality among older adults. Understanding mortality trends, including demographic, geographic, and socio-economic disparities, is crucial to inform healthcare policies and resource allocation. Methods: This study analyzed age adjusted mortality rates (AAMRs) from 1999 to 2022 for adults aged 55-85+ years. Age adjusted mortality rates (AMRs) per 1,000,000 population were stratified by gender, race, geographic location, and urbanicity. Trends were evaluated using Average Annual Percentage Change (APC) with 95% confidence intervals (CI), examining periods of decline and increase. Results: Between 1999 and 2022, 105,008 deaths were recorded among older adults (55-85+ years) due to hypothyroidism and heart failure (HF). The age-adjusted mortality rate (AAMR) initially declined from 1999 to 2016, marked by a significant drop between 2005 and 2008 (APC = -6.0, 95% CI: -7.6 to -3.0). However, mortality trends reversed post-2016, with a sharp increase (APC = 6.7, 95% CI: 5.5 to 8.4). Age-specific trends revealed declining crude mortality rates (CMR) across all groups until 2016, followed by increases, particularly in the 65-74 and 75-84 age brackets, with APCs of 14.1 (95% CI: 7.8 to 27.8) and 8.9 (95% CI: 3.8 to 21.8), respectively. Gender disparities showed men and women had similar trends, with declines until 2015-2016 followed by surges, with APCs of 6.8 (95% CI: 5.2 to 9.1) and 6.6 (95% CI: 4.6 to 11.1), respectively. Racial disparities highlighted steady declines until 2016, followed by increases in non-Hispanic Whites (APC = 10.4, 95% CI: 5.2 to 23.2) and Hispanics (APC = 7.5, 95% CI: 6.0 to 10.1). Geographically, the Midwest exhibited the highest AAMR (71.1), while the Northeast showed the lowest (51.4). State-level disparities revealed North Dakota with the highest AAMR (129.5), contrasting with Nevada, which had the lowest (20.4). Urban-rural differences showed similar trends, with notable AAMR increases in both settings post-2016. These results underscore significant demographic and regional disparities in hypothyroidism and HF-related mortality. Conclusion: While mortality from hypothyroidism and HF among older adults declined until 2016, trends have since reversed across all demographic and geographic strata. Addressing these rising rates require targeted interventions focusing on high-risk groups and areas. Presentation: Monday, July 14, 2025

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

e20520 Background: Cancer and respiratory failure (RF) are amongst leading causes of mortality in adults. This study investigates national trends in age-adjusted mortality rates (AAMRs) for cancer and RF in the United States from 1999 to 2023, focusing on disparities by gender, race, region, and rural-urban residence to inform public health strategies. Methods: This descriptive study analyzed data from the CDC WONDER database, of adults aged 25 and older. Mortality data were identified using ICD-10 codes C00–C97 (cancer) and J96 (RF). AAMRs per 100,000 population were calculated and stratified by gender, race/ethnicity, census region, urban-rural classification, and state. Temporal trends were analyzed using Joinpoint regression to estimate annual percent changes (APCs) with 95% confidence intervals (CIs). Statistical significance was set at p < 0.05. Results: From 1999 to 2023, total deaths of 1,263,368 attributed to cancer and RF (682,141 men, 581,227 women). AAMRs declined from 1999 to 2004 (APC = -1.5, 95% CI: -4.0 to -0.4), stabilized from 2004 to 2012 (APC = 0.8, 95% CI: 0.1 to 2.4), and increased from 2012 to 2023 (APC = 3.2, 95% CI: 2.9 to 3.8). Men experienced a greater initial decline (APC = -2.1, 1999–2004) but significant increases thereafter (APC = 3.0, 2012–2023), while women showed a slower decline followed by sharper increases (APC = 3.5, 2013–2023). Non-Hispanic Black populations initially declined (APC = -1.7, 1999–2003) but later increased significantly (APC = 3.0, 2014–2020). Hispanic/Latino populations declined (APC = -1.2, 1999–2009) before rising sharply (APC = 3.1, 2009–2020). American Indian or Alaska Native populations showed consistent increases (APC = 1.7, 1999–2020). Urban areas experienced initial declines (APC = -1.7, 1999–2004), followed by increases (APC = 2.4, 2011–2020). Non-metropolitan areas exhibited steeper increases (APC = 4.6, 2014–2020). Regionally, the West recorded the highest AAMR (24.0), followed by the Northeast (23.6), South (20.9), and Midwest (18.0). Mississippi had the highest state-level AAMR (36.3), while Wisconsin had the lowest (10.0). States in the top 90th percentile included Mississippi, Arkansas, and California, while Wisconsin, Minnesota, and Oregon were among the lowest. Conclusions: Cancer and RF mortality declined initially but have significantly increased in recent years. Disparities persist across gender, racial, and regional groups, underscoring the need for focused public health efforts and equitable resource distribution to address these trends.