Citations

OBJECTIVE Mechanical complications are a vexing occurrence after adult spinal deformity (ASD) surgery. While achieving ideal spinal alignment in ASD surgery is critical, alignment alone may not fully explain all mechanical complications. The authors sought to determine which combination of inputs produced the most sensitive and specific machine learning model to predict mechanical complications using postoperative alignment, bone quality, and soft tissue data. METHODS A retrospective cohort study was performed in patients undergoing ASD surgery from 2009 to 2021. Inclusion criteria were a fusion ≥ 5 levels, sagittal/coronal deformity, and at least 2 years of follow-up. The primary exposure variables were 1) alignment, evaluated in both the sagittal and coronal planes using the L1–pelvic angle ± 3°, L4–S1 lordosis, sagittal vertical axis, pelvic tilt, and coronal vertical axis; 2) bone quality, evaluated by the T-score from a dual-energy x-ray absorptiometry scan; and 3) soft tissue, evaluated by the paraspinal muscle–to–vertebral body ratio and fatty infiltration. The primary outcome was mechanical complications. Alongside demographic data in each model, 7 machine learning models with all combinations of domains (alignment, bone quality, and soft tissue) were trained. The positive predictive value (PPV) was calculated for each model. RESULTS Of 231 patients (24% male) undergoing ASD surgery with a mean age of 64 ± 17 years, 147 (64%) developed at least one mechanical complication. The model with alignment alone performed poorly, with a PPV of 0.85. However, the model with alignment, bone quality, and soft tissue achieved a high PPV of 0.90, sensitivity of 0.67, and specificity of 0.84. Moreover, the model with alignment alone failed to predict 15 complications of 100, whereas the model with all three domains only failed to predict 10 of 100. CONCLUSIONS These results support the notion that not every mechanical failure is explained by alignment alone. The authors found that a combination of alignment, bone quality, and soft tissue provided the most accurate prediction of mechanical complications after ASD surgery. While achieving optimal alignment is essential, additional data including bone and soft tissue are necessary to minimize mechanical complications.

Abstract Ewing sarcoma is an aggressive pediatric cancer that has remained refractory to current therapeutics. Immunotherapy has been unsuccessful in Ewing sarcoma, largely due to poor understanding of how its immune tumor microenvironment is regulated. We recently demonstrated that ubiquitin-specific protease 6 (USP6) can remodel the Ewing sarcoma immune landscape to engender an antitumorigenic tumor microenvironment. USP6 expression in Ewing sarcoma cells enhances surface expression of immunostimulatory ligands and receptors and induces production of multiple chemokines, driving recruitment and activation of tumor-suppressive immune lineages, including NK cells. We sought to harness this multifaceted immunostimulatory function into a novel therapeutic by delivering in vitro transcribed USP6 mRNA via ionizable lipid nanoparticles (LNP). Treatment of Ewing sarcoma cells with USP6 mRNA in vitro is capable of inducing the aforementioned antitumorigenic and immunostimulatory responses. In addition, USP6 mRNA–treated Ewing sarcoma cells elicit cytolytic activation of primary human CD8+ and CD4+ T lymphocytes and NK cells in vitro. Intratumoral delivery of USP6 mRNA LNPs suppresses growth of Ewing sarcoma xenografts, coincident with increased immune infiltration and activation. We further demonstrate that USP6 mRNA is capable of igniting an immunostimulatory program in other cancer types (including acute myeloid leukemia, melanoma, prostate cancer, head and neck cancer, and osteosarcoma) in vitro and suppressing acute myeloid leukemia xenograft growth in vivo. Treatment with USP6 mRNA LNPs was well-tolerated, with no observed gross toxicity. Together, these preclinical studies provide proof-of-concept for the immunogenic and antitumorigenic efficacy of USP6 mRNA LNPs and support its promise as a novel immunotherapeutic in diverse cancer types.

ABSTRACT Background The Society of Pediatric Liver Transplantation (SPLIT) has undergone tremendous growth with > 45 sites contributing data focusing on improving outcomes in pediatric liver transplantation (LT). We report and compare outcomes from the SPLIT Registry. Methods Patients < 18 years with first‐time LT only enrolled into the SPLIT Registry between 2011 and 2023 were included. Data was stratified into eras from the last published registry update (era 1: 2011–2018, era 2: 2018–2023). Results Three thousand five hundred four participants from 47 centers were included (era 1: n = 2159; era 2: n = 1345). Age distribution differed with more children < 1 year. of age at LT in era 2 (era 1: 29% vs. era 2: 33%, p = 0.01). Indications for LT were similar, with biliary atresia (38.8%) and metabolic disease (16.0%) being most common. Exception point use was higher in era 2 (era 1: 45% vs. era 2: 56%, p < 0.001). No difference in graft type (deceased: 81% era 1 vs. 78% era 2, p = 0.78), patient survival at 90 days (era 1: 98.7% vs. era 2: 98.3%), 1 year (era 1: 97.2 vs. era 2: 96.8%), or 3 years (era 1: 95.3% vs. era 2: 95.2%) was noted. Rate of hepatic artery thrombosis was lower in era 2 (era 1: 7% vs. era 2: 5%, p = 0.02). Conclusions Trends in pediatric LT within SPLIT note similar LT indications and graft type, higher utilization of exception points, and lower HAT rates despite transplanting more children < 10 kg. This data underscores the evolution of pediatric LT toward higher survivability and overall patient outcomes.

ABSTRACT Older adults are susceptible to infections, in part due to waning of immune memory. To determine mechanisms that determine long-lasting versus short-term immunity, we examined varicella zoster virus (VZV) vaccination as a model system. We contrasted VZV antigen-specific T cells several years after vaccination in adults who had been vaccinated at young (<20 years) or older age (>50 years) with a live-attenuated vaccine that confers durable protection only when given at young age, or with an adjuvanted VZV component vaccine that elicits effective, long-lasting immunity in older adults. CD8 + T cells were highly sensitive to age-related changes showing T cell subset shifts, loss in TCR diversity and reduced stem-like features while gaining NK-like signatures without evidence for cellular senescence or exhaustion. VZV-specific CD4 + T cells were largely resilient to age and maintained phenotypic and TCR diversity. Immunization of older adults with the adjuvanted VZV vaccine did not reverse age-associated defects in CD8 + T cells. Instead, it selectively improved the functionality of VZV-specific Th17 CD4 + T cells and prevented their acquisition of Treg features, likely as consequence of lipid metabolic pathways. Collectively, our data indicate that effective vaccination in older adults is supported by the generation of a durable, antigen-specific CD4 + Th17 population that resists mis-differentiation into Tregs and that compensates for age-related defects in CD8 + T cells. One sentence summary Aging primarily impairs the CD8 + T cell VZV vaccine response, while effective VZV vaccination in older adults induces antigen-specific Th17 CD4 + T cells to compensate for aging defects.

Abstract Infection is increasingly recognized as a significant cause of morbidity and mortality in patients with relapsed/refractory (R/R) large B-cell lymphoma (LBCL) receiving CD19 chimeric antigen receptor (CAR) T-cell therapy. The current study analyzed the natural history, risk factors, and outcomes of infection in 3350 patients with R/R LBCL receiving commercial CD19 CAR T-cell therapy (n = 2804 axicabtagene ciloleucel [axi-cel], n = 546 tisagenlecleucel) from December 2017 to June 2022. Infection developed in 834 patients (24.9%) within 100 days after infusion, resulting in an infection density of 0.43 per 100 patient days and a 100-day cumulative incidence of 22%. Bacterial, viral, and fungal infections were recorded in 527 (15.7%), 374 (11.2%), and 108 patients (3.2%), respectively, with corresponding infection densities of 0.23, 0.15, and 0.04 per 100 patient days. After a 24-month median follow-up, 1482 patients (44%) had died, with infection as the primary cause in 173 cases (12%). The 100-day infection-related mortality (IRM) was 1.6% (95% confidence interval, 1.2-2.0). Patients with a Karnofsky performance score of ≤80, infection history before CAR T-cell therapy, axi-cel therapy, severe cytokine release syndrome (grade ≥3), and severe immune effector cell–associated neurotoxicity syndrome (grade ≥3) had increased infection risk. Infections within 100 days were an independent risk factor for inferior overall survival beyond day 100 after CD19 CAR T-cell therapy. In conclusion, study results show a significant incidence of infection and IRM in patients with R/R LBCL treated with CD19 CAR T-cell therapy. Furthermore, results identify patients at a heightened risk of infection, offering insights to guide potential interventions aimed at mitigating infection and improving patient outcomes after CAR T-cell therapy.

7018 Background: CAR-T cell therapy represents a notable advancement in treating relapsed/refractory (R/R) hematological malignancies. Adverse events include CRS, infections, and neurological and cardiac complications. While there are reports from major academic institutions on the adverse effects of CAR-T therapy, we used data from the National Inpatient Sample (NIS) to gather national estimates of complications related to CAR-T therapy. Methods: A retrospective study was conducted to analyze patients who underwent CAR-T cell therapy by utilizing appropriate ICD-10-PCS procedure codes (XW033C3, XW043C3, XW23346, XW24346, XW23376, and XW24376) from NIS 2019 to 2021. Data regarding infections, toxic encephalopathy (a surrogate for neurological toxicity), and adverse cardiac events were extracted using relevant ICD-10-CM diagnostic codes. Patients experiencing various grades of CRS were identified through specific ICD-10 codes available in 2021 (Grades 1-5: D89.831-D89.835). Results: This study analyzed 6515 patients who underwent CAR-T cell therapy from January 2019 to December 2021. Among them, 60.7% were male. 74.6% were Caucasian, 11.7% were Asian and 6.7% were African American. 49.8% of patients had private insurance, 36.2% had Medicare, and 8.6% had Medicaid. 6.8% of patients were diagnosed with pneumonia, while sepsis occurred in 7.4% of patients and 3% experienced septic shock. 19.4% of patients experienced cardiac arrhythmias, and major cardiovascular events were recorded in 4.7% of the cohort. Acute myocardial infarction and stroke were documented in 0.6 and 1.2% of patients, respectively. Toxic encephalopathy was reported in 19.7% of patients. Among 2235 patients identified to have received CAR-T in 2021, 59.7% developed CRS. Grade 1 and grade 2 CRS were reported in 32% and 21% of patients, respectively, while grade 3 and grade 4 reactions were noted in 4.7% and 2% of patients, with no cases of grade 5 identified. The mean total cost of hospitalization was 308,364$, and the mean length of hospital stay was 19.5 days. The overall in-hospital mortality rate was 3.4%. Conclusions: Our study describes real-world outcomes from a large dataset of CAR-T patients. Infections pose a significant challenge with CAR-T therapy, highlighting the importance of early detection and timely antimicrobial treatment. CRS is common, with a 60% incidence, similar to previous clinical trials (55%). Immediate management is crucial for addressing CRS toxicity. Adverse neurological and cardiovascular incidents are often reported, emphasizing the need for meticulous monitoring and coordinating multidisciplinary care plans. The financial burdens also bear mentioning: CAR-T therapy costs significantly higher than autologous stem cell transplants. Further studies to address these issues are warranted.

Abstract Cutaneous T-cell lymphoma (CTCL) is a rare malignancy of skin-resident T cells characterized by an aberrant cytokine profile, notably elevated Interleukin-17A (IL-17A) levels. However, the functional importance of IL-17A dysregulation in the CTCL pathogenesis remains poorly understood. Our analysis revealed increased IL-17A receptor (IL-17RA) expression in CTCL patient samples, supporting the importance of IL-17A signaling in CTCL progression. Proteomic and metabolomic profiling of IL-17A-treated malignant T cells revealed mitochondrial electron transport chain (ETC) complex I as a key downstream target of IL-17A signaling. Furthermore, we confirmed the elevated expression of ETC complex I in CTCL patient samples compared to healthy control T cells, hence highlighting the clinical relevance of the IL-17A signaling-ETC complex 1 axis. Altogether, our data unveil the function of IL-17A signaling in the metabolic axis in CTCL progression, which could be useful for developing advanced therapeutic strategies. Significance statement: We uncover an IL-17A-induced electron transport chain (ETC) complex I pro-tumorigenic circuit and provide proof of concept evidence that ETC complex I can be targeted to combat the challenges posed by Cutaneous T-cell Lymphoma aggressiveness.

Importance Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure. Objective To estimate the worldwide burden of SAH. Design, Setting, and Participants Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021. Exposures SAH and 14 modifiable risk factors. Main Outcomes and Measures Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs). Results In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution. Conclusions and Relevance Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.

Background Artificial intelligence (AI) and large language models (LLMs), are potential tools for enhancing healthcare delivery and clinical research. Presently, there is a scarcity of research regarding the viewpoints of medical students toward LLMs. This study aims to explore the perceptions of LLMs and their applications among this demographic. Methods A cross-sectional study was done using an online survey. It was designed using Google Forms and circulated from July 2023 to August 2023. The target population included medical students from Ecuador, Ethiopia, India, Mauritius, Pakistan, United Arab Emirates (UAE), and the United States (USA). Results A total of 1180 responses were collected from 10 medical colleges across 7 countries. The UAE had the largest number of responses (31.7%), followed by Ecuador (17.6%), and Mauritius (13.7%). And 77.4% respondents were already aware about LLMs before attempting the survey, most popularly, ChatGPT. Participants were most familiar with the specific use of LLMs in research (46%), and the lowest familiarity was seen in the use of LLMs in healthcare (37%). More than half of the participants (52%) support the use of LLMs healthcare, yet a significant number of them remained neutral (37%) or disagreed (31%) on LLMs being safe in this context. Conclusion While most of the medical students are aware of LLMs and their applications, the multinational survey demonstrated hesitancy among medical students in fully adopting LLMs into healthcare practice and clinical research. This study prompts further exploration of medical students’ attitudes and acceptance concerning the integration of LLMs for research methodologies, ethical considerations, and healthcare practice.