Citations

800 Background: Primary squamous cell carcinoma (SCC) of the small intestine is exceedingly rare and associated with poor prognosis. Literature is currently limited to a few case reports, and, to our knowledge, this is the first population-based analysis of patients with small intestine SCC. This study aimed to identify patient demographics and predictors of survival outcomes. Methods: Patients with histologically confirmed primary SCC of the small intestine diagnosed between 2000 and 2022 were identified from the SEER database; autopsy-only cases were excluded. Patient demographics, tumor site, stage (SEER summary stage), and initial treatments were summarized. Overall survival (OS) was defined from diagnosis to death, with one-year OS estimated by Kaplan–Meier methods. Multivariate Cox proportional hazards models evaluated associations between patient variables (age, sex, race, residence, year of diagnosis, surgery, and chemotherapy) and mortality. All statistical analyses were performed using R version 4.4.2. Results: A total of 89 patients diagnosed with primary small intestine SCC were identified. The median age at diagnosis was 68 years; 43 % were female, and 67 % were non-Hispanic White. Most patients (82 %) resided in urban counties. Tumor site was mostly the duodenum (37 %), followed by ileum (16 %) and jejunum (10 %); 33 % were not otherwise specified. Among patients with a recorded stage, 45 % had localized disease, 38 % regional disease, and 17 % distant metastases. Initial treatment comprised surgery in 60 % of patients, chemotherapy in 25 %, and radiation in 10%. The median OS was approximately six months, and the one-year OS was 36.7 % (95 % CI 27.9–48.3). Women had a higher one-year OS (42 %) than men (33 %), although this difference was not statistically significant. In multivariable analysis, surgical resection was associated with a markedly lower hazard of death (HR = 0.43, 95 % CI 0.25–0.74). Chemotherapy was associated with an insignificantly improved survival (HR 0.54, 95 % CI 0.27–1.09). Additionally, rural residence (HR ≈ 2.9) and older age (HR ≈ 1.03) were independently associated with worse survival (p<0.05). Conclusions: This population-based study highlights the rarity and aggressiveness of primary small bowel SCC, with a median OS of six months. Surgical resection was strongly associated with improved survival (adjusted HR ≈ 0.43), reinforcing its role as the cornerstone of management. Chemotherapy showed a nonsignificant survival benefit, highlighting the need for prospective studies. The association of rural residence with higher mortality suggests disparities in access to care and underscores the need for strategies to improve early detection and referral. Overall, these findings support a multimodal approach centered on surgery and warrant further studies to elucidate pathogenesis and optimize systemic therapy.

ABSTRACT Musculoskeletal infection (MSKI) remains a major problem after trauma and elective orthopedic surgery. Chronic MSKI is related to the formation of biofilm, which impairs diagnosis and effective treatments. Therefore, to understand and communicate global standards and best practices, the 2025 International Consensus Meeting (ICM) on MSKI created a Biofilm Section to address crucial aspects of biofilm biology pertaining to its mechanisms of drug resistance and immune evasion, and potential approaches to overcome them. This featured a 2‐year process, with final voting and discussion on May 8–10, 2025, in Istanbul, Turkey. This Consensus Article is the effort of the Biofilm Basic Mechanisms Workgroup, which interpreted the results on ICM questions related to (1) the infectious microenvironment; (2) appropriate inocula in preclinical research; (3) biofilm behavior in infected tissues; and (4) synergy within biofilms and with other comorbidities. Collectively, we find that this field has the necessary research tools to discover the pathophysiology of orthopedic implant‐associated biofilm development and maturation, perform clinically relevant studies in animal models, and elucidate mechanisms that allow opportunistic infections in compromised tissues and patients with other health issues.

ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the ASCO Guidelines Methodology Manual . ASCO Guidelines follow the ASCO Conflict of Interest Policy for Clinical Practice Guidelines . Clinical Practice Guidelines and other guidance (“Guidance”) provided by ASCO is not a comprehensive or definitive guide to treatment options. It is intended for voluntary use by clinicians and should be used in conjunction with independent professional judgment. Guidance may not be applicable to all patients, interventions, diseases or stages of diseases. Guidance is based on review and analysis of relevant literature, and is not intended as a statement of the standard of care. ASCO does not endorse third-party drugs, devices, services, or therapies and assumes no responsibility for any harm arising from or related to the use of this information. See complete disclaimer in Appendix 1 and Appendix 2 (online only) for more. PURPOSE To provide guidance on the recommended management of cancer in pregnant patients. METHODS A multidisciplinary Expert Panel convened and conducted a systematic review of the literature. RESULTS The systematic review identified 450 eligible studies. Much of the evidence consisted of observational data, case series, and case reports. RECOMMENDATIONS Management of cancer during pregnancy should be grounded in a values-based informed-consent process outlining maternal and fetal risks and anticipated benefits. Diagnostic evaluation should follow the as low as reasonably achievable (ALARA) principle, with timing of diagnostic studies individualized based on urgency of cancer detection, potential dangers of delay, and the balance of risks to both the pregnant patient and her embryo or fetus. Due to significant risk of harm to the developing embryo and/or fetus, systemic therapy should be deferred until the second trimester. Methotrexate, hormonal therapies, human epidermal growth factor receptor 2–targeted agents, vascular endothelial growth factor and poly (ADP-ribose) polymerase inhibitors, antibody-drug conjugates, and all cellular therapies are contraindicated during pregnancy, regardless of gestational age. For patients who wish to continue their pregnancy, delivery should be planned at or after 37 weeks, with the final chemotherapy dose scheduled 2-4 weeks before birth. Referral to psychosocial support services is essential to address emotional and practical challenges, reduce distress, and support shared decision making. Additional information is available at www.asco.org/survivorship-guidelines .

Abstract Using the US National Inpatient Sample, we analyzed 424,540 adult hospitalizations for sickle cell crisis (SCC) from 2016–2020 to quantify cardiovascular comorbidities and their associations with in-hospital mortality. The cohort (mean age 32.4 years; 55.4% female) was predominantly Black (93.0%) and socioeconomically disadvantaged (51.1% lowest income quartile); most admissions occurred at urban teaching hospitals (82.1%). Age showed a monotonic relation with mortality (multivariable HR per year 1.04, 95% CI 1.03–1.05). In adjusted models, six cardiovascular factors independently predicted higher mortality: systolic heart failure (HR: 2.0; 1.35–2.96), atrial fibrillation/flutter (HR: 1.58; 1.08–2.30), ischemic stroke (HR: 3.25; 1.85–5.71), right ventricular failure (HR: 3.14; 1.46–6.75), pulmonary embolism (HR: 5.61; 3.78–8.33) and acute coronary syndrome (HR: 3.70; 2.30–5.95) (All p<0.01). By contrast, chronic coronary artery disease was inversely associated with mortality (adjusted OR 0.41, 0.23–0.74, p<0.01), a paradoxical pattern that likely reflects index-event (collider) bias, treatment confounding, or differential specialty follow-up and warrants prospective adjudication. Compared with White patients, Black patients had lower adjusted in-hospital mortality (HR 0.44, 0.21–0.94, p = 0.03). Our findings prioritize thrombo-ischemic and rhythm/pump failure phenotypes as high-yield targets for risk stratification and crisis-time management, and they motivate integrated cardio-hematologic strategies and prospective validation.

Abstract INTRODUCTION The ECHELON-2 trial for newly diagnosed CD30+ peripheral T-cell lymphomas (PTCL) demonstrated superior overall survival with brentuximab vedotin plus chemotherapy (BV-CHP) compared to CHOP. However, total enrollment was restricted to only 30% of patients with non-anaplastic large cell lymphoma (ALCL) histologies and was not powered to analyze survival benefits in this cohort. Thus, the benefit of BV-CHP in non-ALCL patients remains less clear. Adding to this uncertainty, CHOP plus etoposide (CHOEP) remains a standard regimen for many non-ALCL PTCL histologies for patients &lt;60 years of age. Which of these three regimens offers superior outcomes for patients with CD30+ non-ALCL PTCL remains to be determined, is a critical knowledge gap in this area, and could meaningfully inform the management of these patients. METHODS We conducted a retrospective analysis of chemotherapy-naïve CD30+ (≥1%) PTCL from 7 centers in the United States. Histologies were limited to PTCL-NOS and PTCL with a T follicular helper phenotype (PTCL-TFH). Frontline regimens were defined as BV-based (BV-CHP), etoposide-based (CHOEP/EPOCH), novel-CHOP (CHOP/CHOEP + novel drug on a clinical trial), or CHOP. CD30 was considered positive if any expression was reported, and when available, stratified as ≥10% or &lt;10% of the total lymphocyte population. RESULTS The CD30+ PTCL cohort consisted of 194 patients with a median age of 68 years at diagnosis and a male (65%) predominance. Nodal PTCL-TFH (65%) was the most common histology. Most had stage III-IV disease (89%) with a high-intermediate to high-risk IPI score of 3-5 (54%). 18% had an ECOG of ≥2, 45% had ≥2 extranodal sites, and 43% had bone marrow involvement, although biopsies were not performed in all patients. CD30 expression in ≥10% of malignant T cells was observed in 55% of all quantitatively reported cases. Frontline therapy consisted of BV-based (36%), etoposide-based (30%), CHOP (27%), and novel-CHOP (7%). Baseline characteristics and CD30 expression were similar between treatment groups. The ORR was 72% (64% CR, 8% PR), with no differences observed by treatment or histology. On multivariate analysis (MVA), a high LDH was associated with lower CR (OR 2.84, p=0.003). For the patients who demonstrated a CR to frontline therapy, 61% underwent ASCT. With a median follow-up of 26.1 months (IQR 12.3-51.6), the median PFS and OS were 11.4 (9.8-14.2) and 47 (32-60.3) months, respectively. The 2-year PFS and OS were 34.9% (28.1-41.7) and 62% (54.5-68.6), respectively. PFS and OS were similar for PTCL-NOS compared to PTCL-TFH, and AITL fared similarly to non-AITL PTCL-TFH. By treatment, novel-CHOP demonstrated the most favorable PFS (median 41.9 months) and OS (median 68.1 months). Survival curves overlapped continuously with all other treatment regimens and was not statistically significant. For patients &lt;60, PFS and OS were equivocal with BV-based (n=17) compared to etoposide-based (n=26) regimens. On MVA, stage III/IV disease conferred an inferior PFS (HR 2.00, p=0.018) as did an IPI score of 3-5 for OS (HR 2.15, p=0.001). Neither histology nor frontline treatment impacted PFS or OS. The chosen frontline treatment also had no survival impact in key subgroup analyses including patients &lt;60 (n=56) or with CD30-expression ≥10% (n=43). For patients with CR to frontline therapy, ASCT demonstrated a significant PFS benefit (HR 0.59, p=0.028) but no statistically significant difference in OS benefit (HR 0.58, p=0.073). CONCLUSION These data provide valuable insight into the lesser-represented patient population from the pivotal ECHELON-2 trial. In this cohort of CD30+ (≥1%) non-ALCL PTCL, there was no clearly superior standard frontline regimen. The number of patients with quantitively reported CD30 expression was too small for definitive conclusions in the ≥10% CD30+ cohort and retrospective pathology review is ongoing. ASCT for patients in CR offered superior outcomes, supporting this strategy regardless of the frontline regimen, recognizing the limitations of non-randomized, retrospective analyses. Novel-CHOP regimens demonstrated encouraging survival, and clinical trials should maintain priority over standard regimens for patients with CD30+ (1-10%) PTCL-NOS and PTCL-TFH.

Abstract Background: Graft-versus-host disease (GVHD) remains the leading cause of non-relapse morbidity and mortality in allogeneic hematopoietic-stem-cell transplantation (allo-HSCT) recipients. Clinical scoring systems (e.g., EBMT, HCT-CI, DRI, etc.) can stratify risk but show modest predictive performance (C-statistics 0.49–0.67) when it comes to GVHD. To address this gap, we developed GVHD-Intel 1.0, a real-time, scalable, and interpretable machine learning (ML) framework from an international study to predict both acute (aGVHD) and chronic GVHD (cGVHD), providing individual and bulk predictions using common input variables and HLA alleles. Methods: This retrospective global study, approved by respective institutional review boards, included electronic health records from three tertiary care centers in Abu Dhabi, UAE, and King Hussein Cancer Center (KHCC), Jordan, from 2009 to 2023. The model was developed in phases. The UAE399 cohort (399 HSCT recipients) served as the baseline dataset. To enhance model generalizability, 55 adult allo-HSCT recipients from KHCC were added to the training set. Two distinct test cohorts were used: UAE46 (46 allogeneic HSCT recipients from UAE) and KHCC150 (150 adult allogeneic HSCT recipients from KHCC), collected later and independently of training data. Variables included donor type, sex mismatch, disease status, time from diagnosis to transplant, and agents used in conditioning and GVHD prophylaxis (e.g., TBI, ATG, alemtuzumab use etc.). HLA alleles (A, B, C, DQ, DR) were symbolically encoded and transformed via one-hot encoding. GVHD events were classified as aGVHD (&lt;100 days) or cGVHD (≥100 days). Missing values were excluded, and class imbalance was handled via class weighting. GVHD-Intel 1.0, co-developed with MBZ University of Artificial Intelligence, features modular ensemble architecture, drug-level feature engineering, novel HLA encoding for low-resolution compatibility scoring, and built-in interpretability using SHAP and LIME. The framework is cloud-deployable for both real-time and batch predictions. Results: The GVHD-Intel 1.0 was externally tested on two independent, temporally and institutionally distinct cohorts (UAE46 and KHCC150), demonstrating strong and consistent predictive performance for both acute and chronic GVHD. For cGVHD prediction, the model achieved an AUC (area under the curve or C-statistic for binary outcomes) of 0.832, F1 score of 0.896, accuracy of 82.7%, PPV of 0.930, sensitivity of 0.864, Brier score of 0.178, and log loss of 0.543. For aGVHD, performance metrics included an AUC of 0.802, F1 score of 0.860, accuracy of 77.6%, PPV of 0.930, sensitivity of 0.799, Brier score of 0.196, and log loss of 0.581. Model calibration remained strong across both tasks, with Brier scores &lt;0.20. Conclusions: GVHD-Intel 1.0 is a robust, interpretable machine learning framework developed from real-world, multicenter data. By integrating widely available clinical variables and HLA allele data, it outperforms conventional clinical risk scores in predicting both acute and chronic GVHD in allo-HSCT recipients. Slightly reduced performance in aGVHD prediction is likely due to the lack of relevant variables. Next steps include prospective validation across multiple transplant centers globally and continued refinement through expanded data integration. GVHD-Intel 1.0 holds strong potential as a clinically valuable, scalable decision-support tool that can be enacted widely and easily by practicing transplant physicians worldwide in all types of settings.

Abstract Background: Sickle cell crisis (SCC) remains a leading cause of emergency hospitalization and acute morbidity in patients with sickle cell disease (SCD). With improved survival in SCD, long-term complications such as cardiovascular disease are emerging as critical determinants of morbidity and mortality. While right-sided heart failure has been adequately explored in SCD, the specific contribution of the other cardiovascular conditions to in-hospital mortality during sickle cell crisis remains unclear. This study evaluates the independent impact of cardiovascular comorbidities on in-hospital mortality among adults hospitalized for SCC using a large, nationally representative database. Methods: This is a retrospective analysis involving adult hospitalizations (≥ 18 years old) for SCC in the United States (U.S) using 2016-2020 National Inpatient Sample (NIS). The study was exempt from institutional review board approval as the NIS database contains deidentified patient information. ICD-10 codes used for SCC were: D570, D5721, D5741, D5743, D5745, D5781. Regarding cardiovascular co-morbidities, the study considered age, race (African American, Hispanic and Caucasian), dyslipidemia, hypertension, diabetes mellitus (both type 1 and type 2), systolic and diastolic heart failure, rheumatic valvular heart disease, atrial fibrillation/flutter, pulmonary hypertension, chronic coronary artery disease and ischemic stroke. Univariable Cox regression was performed to identify independent predictors associated with in-hospital mortality among patients admitted for SCC. All factors from the univariable analysis with p&lt;0.20 were included in a multivariable Cox regression model. All the outcomes were adjusted for age, sex, and Charlson Comorbidity Index. P-value of ≤0.05 was used to determine statistical significance. Results: The current study analyzed 424,540 SCD patients admitted for SCC (mean age 32.4 years, 55.4% females), from 2016 to 2020. Each additional year of age beyond 18 was associated with a linearly increasing in-hospital mortality among study patients hospitalized for SCC. This observation was confirmed in both univariate (HR: 1.06, 95% CI: 1.05–1.07, p&lt;0.001) and multivariate (HR: 1.05, 95% CI: 1.04–1.06, p&lt;0.001) analyses. On univariable analysis of cardiovascular co-morbidities in patients admitted for SCC, a higher in-hospital mortality was conferred by: hypertension (HR: 2.40; 1.95 – 2.94, p &lt;0.01) dyslipidemia (HR: 2.38; 1.54 – 3.65, p &lt;0.01), diabetes mellitus (HR: 2.15; 1.51 – 3.04, p &lt;0.01, systolic (HR: 5.20; 3.70 – 7.31, p &lt;0.01) and diastolic heart failure (HR: 2.11; 1.44 – 3.08, p &lt;0.01), atrial fibrillation/flutter (HR: 5.43; 4.04 – 7.32, p &lt;0.01), pulmonary hypertension (HR: 2.34; 1.75 – 3.13, p &lt;0.01) and ischemic stroke (HR: 5.75; 3.30 – 10.03, &lt;0.01); a lower in-hospital mortality was associated with the African American race (HR: 0.43; 0.20 – 0.91, p = 0.027). In multivariable analysis of cardiovascular comorbidities that demonstrated nominal significance (p &lt; 0.20) in univariable analysis, only the following remained significantly associated with in-hospital mortality: systolic heart failure (HR: 2.65; 1.77 – 3.98, p &lt;0.01), atrial fibrillation/flutter (HR: 2.01; 1.41 – 2.8), p &lt;0.01) and ischemic stroke (HR: 3.25; 1.85 – 5.71, p &lt;0.01). Although not statistically significant in univariable analysis (p = 0.065), chronic coronary artery disease (CAD) emerged as a significant predictor of reduced in-hospital mortality in the multivariable analysis (HR: 0.52; 0.29–0.91, p = 0.021). Conclusions: Among adults hospitalized for sickle cell crises, select cardiovascular comorbidities, including systolic heart failure, atrial fibrillation/flutter, and ischemic stroke, were independently associated with significantly increased in-hospital mortality. Interestingly, CAD was linked to reduced mortality in adjusted models. This may be attributed to closer medical surveillance and management in patients with established CAD, along with the potential protective mechanism(s) in SCD that limit atherosclerotic progression — warranting further investigation

Abstract Background: Chemotherapy-induced cardiomyopathy (CIC) is a serious, and often irreversible complication in patients treated for hematologic malignancies. While therapies for hematologic malignancies continue to evolve, data on trends in in-hospital mortality among patients with concurrent hematologic malignancies and CIC are limited, and disparities by race and sex remain poorly characterized. This study examines national trends and demographic disparities in in-hospital mortality among patients with hematologic malignancies who developed CIC. Methods: The United States (U.S) National Inpatient Sample (NIS) from 2016 to 2020 was queried for patients diagnosed with malignant hematologic and lymphoid neoplasms who also developed CIC. Hematologic malignancies were identified using ICD-10 codes C81–C96, which include: C81 for Hodgkin lymphoma; C82–C86 for non-Hodgkin lymphomas; C88 for malignant immunoproliferative diseases (e.g., Waldenström macroglobulinemia, heavy chain disease); C90–C95 for leukemias of lymphoid, myeloid, monocytic, mixed, and unspecified cell types; and C96 for other or unspecified malignant neoplasms of lymphoid, hematopoietic, and related tissue. CIC was identified using ICD-10 code I42.7. The study was exempt from institutional review board approval as the NIS database contains deidentified patient information. Multivariable regression analysis was performed to determine the odds of in-hospital mortality among patients with hematologic malignancies who developed CIC. Multivariable logistic regression followed by marginal effects was used to plot yearly trends in in-hospital mortality. All the outcomes were adjusted for gender, race, Charlson comorbidity index and hospital characteristics. P &lt; 0.05 was used to determine statistical significance. The analysis was performed on STATA 16 software. Results: The study identified a total of 3,021,434 hospitalizations with hematologic malignancies, of which 11,115 (0.004%) had secondary diagnosis of CIC (mean age = 56.5 years, 52.5% males). Among 11,115 patients with hematologic malignancies who developed CIC, 740 (6.6%) patients died during the hospitalization. Multivariable logistic regression followed by marginal effects estimated a decrease in adjusted in-hospital mortality trend from 6.5% in 2016 to 4.3% in 2020. However, this decreasing mortality trend was not statistically significant after adjusting for gender, race, Charlson comorbidity index, and hospital characteristics (OR: 0.93; 95% CI: 0.83 – 1.05; trend p = 0.260). In-hospital mortality did not differ significantly between male vs. female patients with hematologic malignancies who developed CIC (OR: 1.02; 95% CI: 0.72 – 1.43; p = 0.921). There was no difference in overall in-hospital mortality of patients of White (reference) vs. Black (OR: 1.12; 95% CI: 0.72 – 1.76, p = 0.61) or Hispanic (OR: 0.63; 95% CI: 0.32 – 1.25, p = 0.18) race. However, males of the Black race demonstrated a lower in-hospital mortality vs. males of the White race (OR: 0.26; 95% CI: 0.09 – 0.77, p = 0.01). In addition, females of the Black race showed a higher in-hospital mortality vs. females of the White race (OR: 2.43; 95% CI: 1.40 – 4.25, p &lt;0.01). Conclusions: In patients with hematologic malignancies who developed CIC, overall in-hospital mortality did not differ significantly by race alone. However, on sex-based stratification, Black males had lower in-hospital mortality compared to White males, while Black females had higher mortality than White females. These differences highlight potential race–sex disparities in outcomes that warrant further investigation.

Viral hepatitis (VH) remains a leading cause of preventable mortality in the United States (US). Despite advancements in antiviral therapies, disparities in VH-related mortality persist across demographic, racial, and geographic groups. This study analyzes trends in VH-related mortality among US adults between 1999 and 2020 to identify high-risk subgroups and inform public health interventions. This retrospective cohort study analyzed VH-related deaths among US adults (≥25 years). Data were obtained from the CDC WONDER database, with cases identified using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes B15–B19. Age-adjusted mortality rates (AAMRs) were calculated per 1,00,000 individuals and stratified by age, gender, race and geographical location. Temporal trends in mortality were analyzed by estimating annual percentage changes (APCs) in the AAMRs using the joinpoint regression model. A total of 3,59,035 VH-related deaths were recorded among US adults during 1999 to 2020 with a cumulative overall AAMR of 7.36 (95% CI: 7.33–7.38). Overall, the AAMRs increased significantly from 1999 to 2013 (APC: +3.21; P < .01), followed by a significant decline until 2020 (APC: −5.61; P < .01). Men exhibited higher AAMRs than women, with middle-aged adults (45–64 years) most affected compared to young (25–44 years) and older adults (65 to 85+ years). Non-Hispanic (NH) American Indians/Alaska experienced the highest AAMRs followed by NH Blacks/African Americans, Hispanics, NH Asians/Pacific Islanders and NH Whites populations. Geographically, mortality rates were higher in urban areas than in rural areas, in the Western region relative to other regions and in the District of Columbia compared to other states. Significant disparities in VH-related mortality persist across demographic and geographic subgroups, with particularly higher rates among men, NH American Indian/Alaska Native population, middle-aged adults, and residents of urban and Western US regions. Targeted public health strategies are essential to address these inequities and improve outcomes.