Citations

Abstract Introduction Patients with metastatic spine disease (MSD) present with varying degrees of systemic illness and frailty. Given the palliative intent of surgery and radiation treatment for MSD, treatment risks must be judiciously weighed against potential benefits. We sought to examine the impact of peroperative nutritional status as measured by the PG-SGA on survival in patients undergoing surgery and radiation for MSD. Methods This study involved an international, multicenter prospective, observational registry of patients with MSD: AO Knowledge Forum Tumor’s Metastatic Tumor Research and Outcomes Network (MTRON). Variables including baseline demographics, oncologic data, adverse events (medical adverse events and surgical complications), length of stay, and nutritional status were prospectively collected. The Patient-Generated Subjective Global Assessment (PG-SGA) was used to evaluate nutritional status. Results A total of 589 patients were included in this study; 469 (80%) of whom underwent surgery and radiation and 120 (20%) of whom underwent radiation alone. The majority of patients (362, 61%) were classified as well nourished, however, 68 patients (12%) were classified as severely malnourished. Among patients that underwent surgery and radiation, the median overall survival of well nourished patients was 491 days compared to 117 days in the severely malnourished patients (p < 0.001). A multivariate analysis demonstrated severe malnourishment and ECOG performance status of 3 or 4 were associated with worse overall survival. Conclusion Malnutrition as measured by the PG-SGA demonstrated to be significantly and independently associated with perioperative survival in patients with MSD. Further studies that investigate optimal pre-treatment optimization for patients with MSD in order to mitigate morbidity and mortality risk are essential.

Abstract Introduction As the incidence of metastatic spine disease (MSD) increases, treatments to manage refractory pain, pathologic vertebral body fractures, and spinal cord compression are becoming increasingly common. Given the palliative nature of surgical intervention used to achieve tumor control and thus mitigate loss of neurologic function and compromised ambulatory function, it is essential to mitigate the risk of such procedures. Methods The AO Spine Knowledge Forum Tumor’s Metastatic Tumor Research and Outcomes Network (MTRON), an international, prospective registry for patients with spinal metastases, was used for this query. Prospective collection included baseline health and demographic information, oncologic data (including Spinal Instability Neoplastic Score (SINS) score and Bilksy epidural compression classification), and baseline functional status (preoperative American Spinal Injury Association (ASIA) and ECOG scores). Health related quality of life (HRQoL) data included Spine Oncology Study Group Outcomes Questionnaire (SOSGOQ2.0) and Euro-QoL measures. Surgery related adverse events (AE’s) were collected using the Spine Adverse Events Severity (SAVES V2) framework. Kaplan-Meir curves were used to assess survival. Results The cohort consisted of 1267 patients, 701 male (55.3%). A total of 245 (19.3%) experienced at least one postoperative AE, the majority of which were considered minor (grade 3 or less). Among the most common were deep wound infections (3.2%), wound dehiscence (2.5%), and urinary infections (2.4%). A multivariate analysis demonstrated that age, smoking status, ECOG performance, prior radiotherapy, presence of multiple metastases at other sites, and multiple spine metastases were significant risk factors for a postoperative AE. Postoperative AE’s (p = 0.049) and major postoperative AE’s (p = 0.0038) were found to be related to survival as well as a significant change in HRQoL scores (p < 0.001). Conclusion Postoperative AE’s are extremely relevant to the care of patients with MSD and impact both HRQoL and survival.

Abstract INTRODUCTION Associations of arterial stiffness, measured through pulse wave velocity (PWV), with incident dementia may be driven by age‐related structural changes to the arterial wall or by elevated blood pressure. METHODS Dementia‐free White or Black participants in the community‐based Atherosclerosis Risk in Communities (ARIC) cohort study with measures of PWV were examined. The associations of carotid‐femoral PWV (cfPWV) and total, structural, and load‐dependent PWV with dementia were estimated using Poisson regression models and Cox proportional hazards models. Dementia cases were defined by physician‐adjudicated review, telephone interviews, hospitalization records, and death certificates. RESULTS Of 4818 participants included in the study population (mean age: 75 years; 41% male, 21% Black), 1067 (22%) developed dementia over a median follow‐up of 9.0 years. Higher cfPWV, total PWV, structural PWV, and load‐dependent PWV were associated with greater dementia risk. DISCUSSION Both structural and pressure‐related arterial stiffness mechanisms may underlie the link between PWV and dementia.

The Clinical Pharmacogenetics Implementation Consortium (CPIC) TPMT/NUDT15 Pharmacogene Curation Expert Panel (PCEP) conducted a comprehensive review of clinical, laboratory, and computational evidence to determine the clinical function assignments for TPMT and NUDT15 star alleles. These genes are critical for the metabolism of thiopurines, which are widely used in the treatment of cancer and autoimmune disorders. Standardized allele function assignment is essential for predicting metabolizer phenotypes and pharmacogenetics‐guided thiopurine dosing. The work presented here includes the first designation of decreased function alleles for both TPMT and NUDT15 , reflecting new clinical data that demonstrate partial loss of enzymatic activity and reduced dose tolerance. The panel also reclassified several alleles previously assigned uncertain or unknown function. The functional assignments were informed by a standardized framework incorporating clinical data, such as thiopurine tolerance and toxicity, as well as in vitro protein activity, ex vivo enzymatic measurements, and in silico variant effect prediction tools. These updates enhance the precision of genotype‐to‐phenotype mapping and support more personalized thiopurine therapy across diverse patient populations.

OBJECTIVE Cognard type V dural arteriovenous fistulas (dAVFs), defined by spinal perimedullary venous drainage, represent a rare and aggressive neurovascular pathology. Comprehensive multicenter data remain scarce. The authors present the largest multicenter analysis to date, characterizing presentation, radiology, treatment, complications, and functional outcomes of Cognard type V dAVFs. METHODS The authors retrospectively analyzed patients with angiographically confirmed Cognard type V dAVFs from the Consortium for Dural Arteriovenous Fistula Outcomes Research (CONDOR), spanning 16 academic centers. Patient demographics, imaging features, treatment strategies, procedural complications, and modified Rankin Scale (mRS) scores were recorded. RESULTS Among 1077 patients with dAVFs, 37 (3%) had Cognard type V lesions. The mean patient age was 57 years, and 59.5% of patients were male. Most presented with nonhemorrhagic neurological deficits (68%), while 14% had hemorrhage. The most common location was the foramen magnum (32%). Embolization was the primary treatment in 67% of cases, complete obliteration was achieved in 71% of cases. Upfront microsurgery was performed in 22% of patients (obliteration rate 88%), and radiosurgery in 14% (success rate 40%). Salvage treatment further improved obliteration outcomes. Temporary complications occurred in 8% of patients (3/37): 2 with transient neurological deficits postembolization and 1 with transient hydrocephalus after surgery. Permanent complications were observed in 3% (1/37) due to treatment-related hemorrhage. At the last follow-up (mean 2.4 years), 69% (24/35) of patients maintained or improved to an mRS score ≤ 2. No deaths occurred. Functional improvement was seen in 29% (10/35), while mRS decline was in 40% of patients (14/35), all unrelated to the dAVF itself. CONCLUSIONS Cognard type V dAVFs carry a high risk of neurological morbidity. However, favorable functional outcomes are achievable with timely, multimodal intervention. Complication rates remain low, with most being transient. These data support aggressive but tailored management to prevent permanent disability in this high-risk population.

Background With improvements in in vitro culture techniques, there has been a steady shift in practice to transfer in vitro fertilisation (IVF) embryos at the blastocyst-stage to increase pregnancy rates per embryo transfer (ET) and reduce the risk of multiple pregnancy. In patients with fewer embryos (≤5 zygotes), fresh cleavage-stage ET is still commonly performed to reduce the risk of cycle cancellation if no embryo survives to the blastocyst-stage in vitro. However, evidence for improved outcomes with cleavage-stage embryo transfer in this subgroup of patients is lacking. We will compare blastocyst-stage to cleavage-stage ET with regard to cumulative live birth rates (CLBR) per oocyte retrieval and other patient-centred cycle outcomes in patients with ≤5 zygotes. Methods and analysis Multicentre, randomised pragmatic comparative effectiveness trial with superiority design comparing blastocyst-stage to cleavage-stage ET in patients with ≤5 zygotes. This trial will enrol and randomise 1126 women aged 18–44 undergoing IVF to either fresh cleavage-stage or blastocyst-stage ET at eleven IVF centres. Surplus embryos will be vitrified at the blastocyst-stage. The primary outcome is the CLBR per oocyte retrieval. Secondary outcomes include: multiple pregnancy, pregnancy loss <20 weeks and cycle cancellation. Exploratory outcomes include: live birth per fresh ET, ectopic pregnancy, time to pregnancy, stillbirth, preterm birth, financial burden, patient distress and facilitators and barriers for patient involvement and implementation. All primary analyses will be conducted according to the intent-to-treat principle. We also will report per-protocol analyses as a sensitivity analysis. A multidisciplinary stakeholder team, including a 5-patient stakeholder panel, will participate in study design, conduct and oversight. Ethics and dissemination The Institutional Review Board at Beth Israel Deaconess Medical Center (BIDMC) provides central regulatory oversight. Results will inform timing of embryo transfer in patients with ≤5 zygotes and will be disseminated through academic publications, meeting presentations and communications to advocacy groups and patient participants. Trial registration number NCT06746129 .

Summary Iron deficiency (ID) is often overlooked in patients with haematological malignancies due to other potential aetiologies. Daratumumab, an anti‐cluster of differentiation 38 (anti‐CD38) monoclonal antibody, is commonly used for treating multiple myeloma (MM) in the upfront and relapsed/refractory settings. Although anaemia is a common haematological toxicity associated with daratumumab, the contribution of ID in MM patients has not been systematically investigated. We conducted a retrospective case–control study to evaluate the prevalence of ID in newly diagnosed MM (NDMM) patients. Cases were patients receiving daratumumab, ixazomib, lenalidomide and dexamethasone (Dara‐IRD, n = 55). We compared this group with an age‐ and sex‐matched cohort of patients with NDMM who received bortezomib, lenalidomide and dexamethasone (VRD, n = 20) as induction therapy. At 1‐year, nearly 50% of Dara‐IRD‐treated patients met the criteria for ID (ferritin <30 mcg/L) compared with none of the VRD‐treated controls. All Dara‐IRD‐treated patients had a decrease in ferritin at 1‐year from baseline compared with only 45% of VRD‐treated patients. These findings identify a marked clinical signal of ID among NDMM patients receiving daratumumab‐based treatment. Although the study design does not establish causality or exclude regimen‐related confounding, it highlights the need for increased awareness of the importance of monitoring iron status in MM patients treated with daratumumab‐containing regimens.

Objective: To evaluate the relationship between race and social determinants of health and receipt of hysterectomy versus uterine-preserving fibroid treatment. Methods: A retrospective cohort study using deidentified claims and longitudinal health data from OptumLabs ® Data Warehouse. Patients aged 15–55 years with newly diagnosed fibroids between 2010 and 2023 were included. Menopausal individuals and those with gynecological cancer were excluded. The primary outcome was hysterectomy by any route versus uterine-preserving fibroid surgery within 180 days of fibroid diagnosis. We used logistic regression to assess associations between socioeconomic factors and receipt of hysterectomy after adjusting for pertinent covariates. Results: A total of 73,479 individuals were included; 50,645 received hysterectomy, 22,834 received a uterine-preserving treatment. Race, income, education level, and rurality were independently associated with the probability of hysterectomy. Odds of hysterectomy were lower for all people of color compared with White individuals (Asian odds ratio [OR] 0.61 [95% confidence interval (CI): 0.56–0.66], Black OR: 0.70 [95% CI: 0.67–0.73], and Hispanic OR: 0.90 [95% CI: 0.86–0.95]). Individuals with household income <$40,000, less than high school education, and rural address were more likely to undergo hysterectomy compared with those with income >$124,999 (OR: 1.15, 95% CI: 1.09–1.21), bachelor’s degree or higher (OR: 2.55, 95% CI: 1.78–3.65), and metropolitan address (OR: 1.70, 95% CI: 1.44–2.01). All associations were significant at p < 0.05. Conclusion: People with fewer socioeconomic advantages, such as lower household income, lower educational attainment, and rural address were more likely to receive hysterectomy rather than uterine-preserving fibroid treatment. After controlling for age, surgery year, and socioeconomic factors, people of color were less likely to receive hysterectomy rather than uterine-preserving fibroid treatment.

Abstract Introduction Distinct temperature patterns have long been recognized to correlate with fevers of differing etiologies. While the use of wearable sensors for high-frequency temperature monitoring (HFTM) on a near minute-by-minute basis has been shown to detect fevers earlier than standard-of-care nursing vital sign assessments in hospitalized patients, leveraging these high-resolution datasets to computationally identify unique digital signatures for real-time diagnosis of underlying fever etiology has not been widely explored. Diagnostic uncertainty is common in patients undergoing hematopoietic stem cell transplantation (HCT), with only 20–30% of febrile neutropenic episodes being microbiologically documented. We hypothesized that unique temperature patterns extracted from HFTM data collected during episodes of febrile neutropenia could be used to develop a supervised machine learning classifier capable of accurately predicting underlying fever etiology in HCT patients. Methods We analyzed 68 clinically independent fever episodes recorded in HCT patients (n=90) outfitted with an FDA-cleared wireless temperature sensor (TempTraq®, BlueSpark Technologies) that measured axillary temperature every 2 minutes throughout hospitalization. Time-series features were extracted from temperature traces spanning 1 hour before to 3 hours after fever onset and used to train a suite of machine-learning models to distinguish engraftment fevers from other fever etiologies. Model training and evaluation were performed using repeated stratified 5-fold patient-level cross-validation, yielding 100 train-test evaluations. Results Among all classification models, the logistic regression classifier provided the best overall performance and interpretability, achieving 94% specificity (95% CI, 0.84–1.0) for identifying engraftment fevers with a mean AUROC of 0.88 ± 0.10. Feature importance analysis demonstrated that both clinical variables and HFTM-derived temperature dynamics contributed to model performance, with a strong reliance on time-series features captured within the first 4 hours of fever onset. Conclusion Our study provides a demonstration that continuous temperature data collected from patients outfitted with wearable sensors can be leveraged not only for early fever detection but also for machine learning–based diagnosis of fever etiology. These findings suggest that dynamic temperature patterns contain clinically meaningful physiologic information that with further studies could support real-time diagnostic decision-making and guide safe de-escalation of empiric antibiotics during febrile neutropenia in patients undergoing intensive cancer therapy.