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Introduction The rapidly growing population of older adults (individuals aged 65 years and older) presents a new set of challenges for healthcare providers in the emergency department (ED), given the prevalence of severe and life-threatening conditions among this group, such as chronic cancer, Alzheimer’s disease/dementia and congestive heart failure. ED encounters often represent a critical point in an older patient’s trajectory of care and can thus be an important opportunity for various interventions such as palliative care consultation. Therefore, identifying those who will benefit most from palliative care is of high importance, especially in determining the course of future treatment. Thus, we aim to conduct a systematic review assessing the efficacy of palliative care screening in the ED by assessing inpatient length of stay as the primary outcome and quality of life, percentage of hospitalisation and cost of care as secondary outcomes. Methods This study will use Ovid MEDLINE, Embase, EBSCO CINAHL, Web of Science and Cochrane as databases. The study population comprises adults aged 60 years and older, with no focus on any specific clinical specialty or disease. Patients who have not received palliative care screening will serve as the comparator. Only studies with an applicable comparator will be considered. Studies published from 1 January 2000 to 1 July 2025 will be included. All articles will be reviewed independently and in duplicate, and every author will participate in the review, data abstraction and conflict resolution process. Ethics and dissemination Ethical approval is not required as it is a protocol for a systematic review. Findings will be disseminated through peer-reviewed publications and conference presentations. PROSPERO registration number CRD42024562389.

Stereotactic radiosurgery was associated with a higher obliteration rate compared with embolization in patients with eloquent brain arteriovenous malformations, whereas there was no evidence of a difference in functional outcomes or complications after adjustment.

Abstract The SNF2 family chromatin remodeler HELLS has emerged as an important regulator of cell proliferation, genome stability, and several cancer pathways. Significant upregulation of HELLS has been reported in 33 human cancer types. While HELLS has been implicated in DNA damage response, its function in DNA repair is poorly understood. Here, we report a new regulatory link between HELLS and single-strand break (SSB) repair in cellular responses to DNA alkylation damage. We found that loss of HELLS impairs SSB repair and selectively sensitizes cells to DNA alkylating agents and PARP inhibitors (PARPi). Our data reveal non-epistatic interactions between HELLS and PARP1 and suggest that HELLS functionally compensates for PARP1 deficiency in promoting cell survival in response to DNA alkylation damage. Furthermore, we found that HELLS is co-expressed with PARP1 in cancer cells, and its loss is synthetic lethal with homologous recombination deficiency (HRD). This work unveils new functions of HELLS in modulating SSB repair and responses to clinically relevant DNA alkylation damage, thus offering new insights into the potential therapeutic value of targeting HELLS in cancer.

Abstract Rationale Pulmonary artery (PA) dilation on computed tomography (CT) has been associated with moderate-to-severe ­pulmonary hypertension (PH) using outdated diagnostic criteria. The association between PA size and mean PA pressure (mPAP) in mild PH and the prognostic implications of PA dilation remain unclear. Objectives To investigate associations between PA size, mPAP, and survival in subjects without significant lung disease aside from PH. Methods PA size on CT was measured for individuals with group 1 or 2 PH and matched controls in the Pulmonary Vascular Disease Phenomics cohort. Outcomes included mPAP on right heart catheterization (RHC) and time to heart and/or lung ­transplantation or death. Measurements and Main Results A total of 691 subjects were included, with 595 undergoing RHC. PA diameter and PA:aorta ratio demonstrated significant association with mPAP (ρ = 0.557 and 0.564, respectively). Size increased incrementally from no PH to mild PH to moderate-severe PH for PA diameter (27.64 [95% CI, 17.64-37.64] mm to 30.65 [95% CI, 18.99-42.31] mm to 36.00 [95% CI, 22.46-49.54] mm) and PA:aorta (0.89 [95% CI, 0.53-1.24] to 0.99 [95% CI, 0.63-1.35] to 1.19 [95% CI, 0.60-1.78]). PA diameter and PA:aorta demonstrated good discrimination of mPAP >20 mm Hg (area under the curve: 0.834 and 0.816, respectively). Transplant-free survival decreased across the continuum of PA diameter and PA:aorta (P <.001). Adjusted hazard ratio of third versus first quartile values was 2.36 (95% CI, 1.58-3.54) for PA diameter and 2.24 (95% CI, 1.52-3.30) for PA:aorta. Conclusions In subjects without significant lung disease outside of PH, PA size on CT was associated with increased mPAP and decreased transplant-free survival across the spectrum of PH severity and demonstrated modest diagnostic discriminatory ability using updated hemodynamic criteria.

ImportanceAlthough incarceration is associated with worse cancer outcomes, little is known about quality of cancer care among people with a history of incarceration.ObjectiveTo describe quality of cancer care among those diagnosed with cancer during or immediately after incarceration.Design, Setting, and ParticipantsThis longitudinal cohort study used Connecticut Tumor Registry data linked to Department of Correction rosters from 2005 through 2016. Patients diagnosed with cancer while incarcerated were matched to those diagnosed within 12 months after incarceration and to those with no history of incarceration. Analysis was performed between March 2024 and January 2025.ExposuresIncarceration status at time of cancer diagnosis.Main Outcomes and MeasuresThe main outcomes were treatment initiation within 60 days and receipt of recommended pretreatment and therapeutic care, ascertained from medical records and tumor registries. Logistic regression was used to evaluate odds of treatment initiation by 60 days. The proportion of recommended elements of pretreatment and therapeutic care received was calculated, and group differences were assessed using χ2 tests.ResultsThe sample included 690 individuals (233 diagnosed during incarceration, 221 diagnosed within 12 months after incarceration, and 236 with no incarceration history). The mean (SD) age was 49.7 (12.1) years, and 611 (88.6%) were male. Compared with those with no history of incarceration, those diagnosed with cancer during incarceration were less likely to initiate treatment within 60 days (169 of 209 [80.9%] vs 131 of 189 [69.3%]; OR, 0.49 [95% CI, 0.31-0.79]). Initiation of treatment within 60 days was not statistically different for those diagnosed after incarceration vs those with no history of incarceration (144 of 187 [77.0%]; OR, 0.81 [95% CI, 0.49-1.34]). Those diagnosed with local and regional cancers during incarceration received 49.2% of recommended treatment-related care (31 of 63 measures), while those diagnosed after incarceration received 45.3% (34 of 75 measures), compared with 66.7% (36 of 54 measures) among those with no history of incarceration (P < .001). People diagnosed with local and regional cancers during incarceration received 80.6% of recommended pretreatment evaluation (54 of 67 measures), and those diagnosed after received 96.8% (59 of 68 measures), compared with 78.1% (50 of 64 measures) among those with no history of incarceration (P = .01).Conclusions and RelevanceIn this cohort study of people with a history of incarceration, incarceration was associated with lower likelihood of receiving timely, high-quality cancer treatment. Along with other published literature, this work suggests that gaps in quality of care may contribute to observed disparities in outcomes.

AbstractAbstract Background Central nervous system (CNS) tumors are a significant cause of morbidity and mortality in Sub-Saharan Africa (SSA). This project aimed to assess and map out the current neuro-oncology capacity in SSA, brain tumor registries, and biobanks. Methods This cross-sectional study utilized an online survey to gather data from healthcare professionals involved in CNS tumor care across SSA through the Society for Neuro-Oncology SSA (SNOSSA). The survey captured information on the availability of neuro-oncology practitioners, neuropathology, molecular diagnostics, cancer registries, and biobanking. Results A total of 145 respondents representing 70 healthcare institutions across 22 countries participated. Of the 70 institutions, specialties included neurosurgery (89%, 62/70), anatomic pathology (74%, 52/70), and medical oncology (71%, 50/70). For radiologic evaluation, 64% (45/70) of responding institutions reported having both CT and MRI. Access to molecular testing through immunohistochemistry or next-generation sequencing was available in 46% (32/70) of responding institutions. Multidisciplinary tumor boards were available for CNS cases in 86% (60/70) of responding institutions. Brain tumor-specific registries were available in 29% (20/70) of responding institutions, and 10% (7/70) maintained brain tumor biorepositories. Conclusion This study demonstrates that SSA has substantial potential in neuro-oncology care practice capacity and facilities. The most significant gaps were in neuropathology and molecular testing, which makes widespread implementation of the WHO 2021 diagnosis challenging. Understanding the prevalence of CNS tumor subtypes in SSA is difficult due to the low number of brain tumor registries and biobanks.

Abstract Background: Medical education commonly utilizes the “see one, do one” two-step approach for teaching psychomotor skills; however, recent evidence suggests that Peyton’s four-step method leads to superior learning. The effect of Peyton’s four-step method on long term skill retention is less apparent and has never been assessed for Point-of-Care Ultrasound (POCUS). The purpose of this research project was to evaluate the effectiveness of Peyton’s four-step method on teaching the POCUS psychomotor skills of image acquisition to novice learners. Additionally, this research project assessed the influence of Peyton’s four-step method at three different points in time during the skill acquisition phase, in the setting of ongoing deliberate skill practice. Methods: A single-blinded, repeated measures interventional study based on experimental design was completed. PA students from one large academic medical center were randomized into a control group (using the two-step method) and intervention group (using Peyton’s four-step method). Students were taught POCUS of the aorta, bladder, heart, lungs, and kidneys. Students' POCUS skills were assessed during the immediate, intermediate, and delayed learning phases. At each assessment, an organ-specific score and a total score were obtained. Scores were compared using a Wilcoxon rank sum test. An ordinal logistic regression analysis was performed using a generalized linear mixed model with a multinomial distribution and cumulative logit link function to assess overall effect of Peyton's four-step method. Results: Students who were taught using Peyton’s method were found to have an increased likelihood of higher total scores compared to those taught using usual instruction (OR = 4.2, p = 0.003). Peyton’s method was found to have increased likelihood of higher scores for cardiac (OR = 2.3, p = 0.032), lung (OR = 2.5, p = 0.034), and kidney (OR = 3.0, p = 0.015). Student performance statistically improved with Peyton’s four-step method during the immediate (p = 0.031) and delayed (p = 0.011) skill acquisition phases, but not in the intermediate phase. Conclusion: Peyton’s four-step method improves overall psychomotor skill acquisition for POCUS. Peyton’s four-step method specifically improved psychomotor skills in the immediate skill acquisition phase and the delayed skill acquisition phase. The benefit of Peyton’s four-step method was more prominent in higher complexity POCUS applications.

592 Background: While not all fevers occurring during hematopoietic stem cell transplantation (HCT) are dangerous, episodes of febrile neutropenia tend to be managed aggressively given the significant mortality and morbidity associated with infectious complications of transplantation. This can potentially lead to unnecessary diagnostic testing, antibiotic treatment, and prolonged hospital stays for non-infectious fever etiologies such as engraftment. Our group has previously demonstrated that high-frequency body temperature monitoring (HFTM) using a wearable device detects fevers earlier in transplant recipients (Flora et al, Cancer Cell, 2021). We hypothesized that applying supervised machine learning to HFTM data collected from inpatient allogeneic HCT patients would allow for accurately distinguishing between non-infectious and infectious etiologies of fever and could potentially guide safe de-escalation of antibiotics. Methods: We analyzed 74 independent fever events detected in HCT patients (n=42) outfitted with an FDA-cleared, wireless sensor measuring axillary temperatures every 2 minutes for the duration of their respective hospitalizations. After data filtering, independent fever events were then retrospectively grouped by fever etiology using physician-determined annotation as previously described (Flora et al., 2021). A split ratio of 80:20 was used to create training and test sets from the parent data set, consisting of 59 and 15 fever events for each split, respectively. Training sets were used to create a classification algorithm identifying bacterial infections requiring antibiotics using the machine learning model XGBoost. The performance of this model was then evaluated using test sets of the remaining fevers (n=15). Results: Averaging over 1000 test sets of 15 independent fevers comprising 5 bacterial infection-related fevers and 10 non-infectious fevers, our model correctly identified 82% (mean recall) of cases requiring antibiotics with a mean precision of 0.41. The model also correctly identified 42% of non-infectious fevers (mean true negative rate, 0.42) that would otherwise have been treated with unnecessary antibiotics. The mean AUCPR was 0.58, with the best performing individual model achieving an AUCPR of 0.97. Conclusions: The preliminary results of this study demonstrate that our classification model shows promise for differentiating fevers requiring antibiotics due to bacterial infections from other non-infectious fever etiologies. Prospective studies further developing supervised machine learning models for subcategorization of febrile neutropenia could pave the way for safely de-escalating antibiotics in HCT and other immunocompromised patients undergoing cancer treatment monitored using HFTM.