Citations

Abstract The tumor landscape of pancreatic ductal adenocarcinoma (PDAC) is refractory to conventional photon radiotherapy (RT) due to a fibrotic tumor microenvironment (TME) that promotes chronic hypoxia and reduced immune surveillance. The radiobiological factors unique to carbon ion radiotherapy (CIRT), such as high linear energy transfer (LET) and less dependence on oxygen, make it well-suited to overcome the PDAC TME. Here, we utilized clonal syngeneic KPC pancreatic tumor cell lines and tumors to examine this postulate and to identify underlying factors that impact the response of PDAC to CIRT. While KPC cell lines exhibited radiobiologic effectiveness (RBE) greater than 3, subcutaneous tumors in the mouse hind leg showed lower RBEs – 1.3 based on quintupling time – at a LET of 75 keV/μm. Four days after CIRT, we observed widespread transcriptomic changes in the tumor immune microenvironment (TME), suggesting increased infiltration of anti-tumor immune cells, elevated expression of anti-tumor T cell cytokines, MHC class I molecules, and co-stimulatory signals. Fewer immunologic changes were observed following photon irradiation. By seven days after CIRT, tumor-supportive transcriptomic programs characterized by pro-tumor cytokines, M2 macrophages, and cancer-associated fibroblasts (CAFs) emerged, promoting resistance and limiting the durability of tumor growth delay. These findings suggest that CIRT may offer a favorable platform compared to conventional photon radiation therapy for combining with immunotherapies. Furthermore, these data highlight the risk of using in vitro survival data alone in treatment planning and indicate that underlying TME factors impact the response of PDAC in vivo .

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.

Objective: To establish benchmark cutoffs for robotic liver resection (R-LR), encompassing both major and minor resections, and to determine the impact of patient selection on outcomes. Background: R-LR is a key advancement in minimally invasive liver surgery but lacks standardized benchmarks, especially for minor resections. While guidelines endorse R-LR, its role in optimizing outcomes remains unclear. This study establishes the first benchmarks for R-LR, enabling comparisons across surgical modalities and refining patient selection. Methods: This retrospective, multicenter study analyzed consecutive adult patients undergoing R-LR at 30 international centers (2020–2023). Benchmark centers had an annual case volume of ≥15 R-LR. Benchmark criteria included ASA ≤2, no major comorbidities, no prior liver resections, and Child-Pugh A status. Benchmark cutoffs for 14 key outcomes were set at the 50th and 75th percentiles of median values across benchmark centers. Multivariable logistic regression identified predictors of textbook outcomes. Results: Eighteen high-volume centers contributed 4028 cases with 2632 (65.3%) meeting benchmark criteria. Malignancy was the indication in 29.6%, most commonly hepatocellular carcinoma followed by colorectal liver metastases. Major liver resection was performed in 42.6%. The distribution of Iwate difficulty scores was low (25.4%), intermediate (53.9%), advanced (15.9%), and expert (4.9%). Benchmark cutoffs were established for minor and major resection, and stratified by Iwate low (0-3), intermediate (4-6) and high (7-12): Open conversion (≤6.5% minor, ≤10.5% major), major complications within 90 days (≤5.2% minor, ≤16.7% major), R1 resection (≤9.2% minor, ≤6.7% major). Benchmark cases performed at low-volume centers were able to achieve outcomes within the corresponding benchmark cutoffs. In fact, patient selection reflected by the proportion of benchmark patients, rather than case volume, was associated with textbook outcomes. Conclusions: This study defines R-LR benchmarks, emphasizing patient selection over center volume for optimal outcomes. Benchmark cutoffs guide training and support the expansion of R-LR.

Abstract Background Robotic Whipple holds the promise to overcome safety concerns associated with laparoscopy, paving the way for widespread implementation of minimal-invasive surgery in this complex procedure. However, randomized data comparing robot vs. open Whipple demonstrate more pancreas-specific complications and R1-resections in the robotic arm. Recent international consensus identified establishing benchmarks as critical to ensure safe adoption of the robot. Benchmarking is a validated quality improvement tool, enabling comparison of surgical performance. Aims The aim was to define benchmarks for outcome parameters in robotic Whipple. Methods We analyzed consecutive patients undergoing robotic Whipple from January 2020 until December 2023 in 11 centers across 4 continents, with a minimum one-year follow-up. Centers had to perform ≥15 cases/year and have mounted their learning curve. Benchmark criteria included benign or resectable malignant disease without neoadjuvant therapy, arterial resection, major co-morbidities, or significant previous abdominal surgery. Medians across centers represented benchmark cutoffs. Results Eleven centers performed 1’037 Whipple procedures, of which 603 (58%) were benchmark cases. One third (n=192) were pancreatic ductal adenocarcinoma (PDAC) patients. Key benchmarks at 6 months included ≤1.2% mortality, ≤24.2% major complications, and ≤ 8.7 points Comprehensive Complication Index®. Pancreas-specific cutoffs included ≤13.0% postoperative pancreatic fistula (POPF) B/C and ≤3.4% post-pancreatectomy hemorrhage B/C, with 100% R0-resection and ≥19 harvested lymph nodes in PDAC patients. One-year actuarial overall and recurrence-free survival was 87% and 77%. In the entire cohort POPF B/C occurred in 16% (n=195). Independent POPF predictors included duct diameter ≤4mm (OR 1.79 95%CI [1.27-2.55]), anticoagulation (OR 3.68 95%CI [2.14-6.24]), and indication other than PDAC (OR 3.17, 95%CI [2.13-4.85]). Conclusion This study establishes benchmarks for key outcomes in robotic Whipple, demonstrating oncologic adequacy and morbidity comparable to open surgery. Risk factors for POPF in open surgery also hold true in the robotic approach.

INTRODUCTION: Immune checkpoint inhibitors (ICIs) have become the first-line treatment of unresectable hepatocellular carcinoma (HCC). The prognostic value of immune-related adverse events (irAEs) in these patients remains controversial. We aimed to investigate the association between irAEs and clinical outcomes in patients with HCC treated with ICIs. METHODS: We searched the PubMed, Scopus, Web of Science, and Central Register of Controlled Trials databases for articles published from inception to June 2024, using keywords including ICI, HCC, and irAEs. Statistical analysis was performed with a random effects model. RESULTS: Of 3,028 studies, 24 (4,127 patients) met the criteria for inclusion. Atezolizumab plus bevacizumab was the most common treatment regimen (n = 10 studies). IrAEs were associated with an increased objective response rate (pooled relative ratio: 1.73; 95% confidence interval [CI]: 1.36–2.21, I 2 = 41%), a higher disease control rate (pooled relative ratio: 1.45; 95% CI: 1.21–1.74, I 2 = 74%), and longer progression-free survival (pooled hazard ratio [HR]: 0.66; 95% CI: 0.52–0.84, I 2 = 71%). There was a trend toward longer overall survival for patients with irAEs compared with those without (pooled HR: 0.84; 95% CI: 0.63–1.12, I 2 = 73%). Subgroup analysis indicated a survival benefit for patients with grade 1–2 irAEs (pooled HR: 0.50; 95% CI: 0.36–0.67, I 2 = 0%) and for those with endocrine irAEs (pooled HR: 0.63; 95% CI: 0.48–0.83, I 2 = 12%). DISCUSSION: The development of irAEs is associated with favorable clinical outcomes in HCC, including improved progression-free survival and higher objective response rate. Overall survival benefit was noted in patients with mild irAEs but not those with severe irAEs.

BACKGROUND: Mortality due to ischemic heart disease (IHD) has declined in countries with high socioeconomic development. Whether these declines extend to other settings, and whether socioeconomic development influences IHD mortality among men and women differently, is unknown. METHODS: We obtained annual data on sex-specific IHD mortality rates for countries/territories in the GBD study (Global Burden of Disease) from 1980 to 2021. The sociodemographic index (SI), a measure of socioeconomic development, was retrieved for each country/territory. Age-adjusted IHD mortality rates were modeled as a smooth function of sex, year, and SI. RESULTS: From 1980 to 2021, IHD mortality rates did not decrease in low SI settings for men or women. In contrast, mortality rates relative to 1980 declined by >25% in average SI settings (age-adjusted mortality per 100 000, 153–107 for women and 218–161 for men) and >50% in high SI settings (age-adjusted mortality per 100 000, 162–69 for women and 258–114 for men). Comparing the 20th versus 80th percentile of SI in 2021 (corresponding to lower versus higher socioeconomic development), mortality rates were 81% higher for men and 111% higher for women living in socioeconomically deprived settings ( P for difference by sex: 0.01), although absolute differences were larger in men. The association of low SI with higher IHD mortality was especially pronounced for mortality attributable to environmental/occupational risk factors (eg, particulate matter air pollution, lead exposure, and extremes of temperature), with mortality rates being 174% higher among women and 199% higher among men. CONCLUSIONS: Across the past 4 decades, low socioeconomic development was associated with no improvement in IHD mortality rates for men or women, in contrast to the large reductions observed in settings with high socioeconomic development. In contemporary settings, socioeconomic deprivation is associated with larger relative excess mortality in women and larger absolute excess mortality in men.

Problem definition: We study how to leverage patient-specific information to improve a hospital’s operational efficiency. We use abdominal surgery as the clinical setting and study the heterogeneous effects of surgical volume on surgery duration. We develop a framework for using patient-specific information by addressing three important questions: (1) Is the effect of surgical volume heterogeneous across patients with different features? (2) If so, how could patient-specific information that captures the heterogeneous effects of surgical volume on surgery duration be generated? (3) What is the value of patient-specific information in helping a hospital improve its operational efficiency? Methodology/results: Using an instrumental variable approach to address potential endogeneity issues, we first use a regression model to show that the average effect of surgical volume on surgery duration is significant. Then, we use a regression model with interaction terms to show that the effect of surgical volume is heterogeneous. After that, we apply an instrumental variable forest approach to obtain patient-specific volume effects. Finally, we use patient-specific volume effects and an optimization model to assess the potential value of patient-specific information in improving a hospital’s operational efficiency. We find the that total duration of surgeries could be reduced by 2.5%–8.9% if patient-specific volume effects are considered. Managerial implications: This study provides a framework for understanding treatment effect heterogeneity and using patient-specific information to improve a hospital’s operational efficiency. We provide empirical evidence that the effect of surgical volume is heterogeneous and address the challenges of estimating heterogeneous effects for different patients. Our framework can help hospital administrators to better match patients with surgeons, improving a hospital’s operational efficiency. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2023.0019 .

Listing and transplanting patients with acute liver failure (ALF) is challenging, requiring rapid assessment of the likelihood of recovery. The availability of a large number of ALF liver explants, along with their clinical data, afforded an opportunity to retrospectively evaluate liver transplantation (LT) decision-making. We hypothesized that, with the benefit of hindsight, a small number of patients might have recovered without LT. Three hundred liver explants from ALF patients of varying etiologies who had undergone LT over 22 years in the Acute Liver Failure Study Group registry were reviewed for histopathological features and degree of necrosis by a committee of 8 hepatopathologists. A second committee of 8 experienced transplant hepatologists independently reviewed clinical data on these same 300 patients and retrospectively scored the likelihood that each patient required transplantation. Only 3 (1%) of those reviewed by the Clinical Committee were considered to “Definitely” not require liver grafting, while an additional 10 (3.3%) were deemed to “Possibly” not require transplantation (Not Likely Group, N=13). There was no difference in the degree of necrosis in explants in these groups, when compared to the remaining Likely Group, N=287 (95.6%), except in acetaminophen (APAP)-associated ALF, where the degree of necrosis was more uniformly graded as severe, correlating with the need for transplantation. Virtually every patient undergoing LT for ALF retrospectively appeared to need their transplant, based on expert clinical consensus review. Overall, there was poor correlation between clinical severity and apparent degree of necrosis seen in the 300 liver explants, except perhaps for APAP subjects.

Despite advances in cardiovascular care and improved outcomes, fragmented healthcare systems, nonequitable access to health care, and nonuniform and unbiased collection and access to healthcare data have exacerbated disparities in healthcare provision and further delayed the technological-enabled implementation of precision medicine. Precision medicine relies on a foundation of accurate and valid omics and phenomics that can be harnessed at scale from electronic health records. Big data approaches in noncardiovascular healthcare domains have helped improve efficiency and expedite the development of novel therapeutics; therefore, applying such an approach to cardiovascular precision medicine is an opportunity to further advance the field. Several endeavors, including the American Heart Association Precision Medicine platform and public-private partnerships (such as BigData@Heart in Europe), as well as cloud-based platforms, such as Terra used for the National Institutes of Health All of Us, are attempting to temporally and ontologically harmonize data. This state-of-the-art review summarizes best practices used in cardiovascular genomic and precision medicine and provides recommendations for systems’ requirements that could enhance and accelerate the integration of these platforms.

The NCCN Guidelines for Multiple Myeloma (MM) provide recommendations for diagnosis, initial workup, treatment, follow-up, and supportive care for patients with MM. These NCCN Guidelines Insights highlight the important updates and changes specific to systemic therapy for patients with newly diagnosed as well as previously treated MM included in Version 1.2025 of the NCCN Guidelines for MM.