Citations

Abstract Objectives The aim of this study was to compare the measured physiological factors that limit running performance with real marathon results from world-class distance runners, evaluating the compatibility between measured data and predicted results based on the previously suggested model. Methods Four world-class East African marathon runners (three male, one female) underwent physiological running assessments to predict marathon performance times using a model based on V ˙ $\dot {\mathrm{V}}$ O 2 peak, percentage of V ˙ $\dot {\mathrm{V}}$ O 2 peak at the second ventilatory threshold, and running economy. Predictions were then compared to participants’ best marathon times. Results The measured V ˙ $\dot {\mathrm{V}}$ O 2 peak of the world-class runners was 75.1 ± 2.7 mL/kg/min. The second ventilatory threshold occurred at 85 ± 3 % of the peak, with a running economy of 63.7 ± 2.4 mL/kg/min at 19.6 ± 0.9 km/h. The predicted marathon performance time was 2:06:51 ± 0:03:17 h:min:s for the males and 2:17:36 h:min:s for the female. Comparing these predictions to their personal best times, the average difference was 00:55 ± 00:51 min:s (range: 00:20-02:08). Conclusions This research provides laboratory data on world-class road running athletes, reinforcing the link between marathon performance and V ˙ $\dot {\mathrm{V}}$ O 2 peak, the percentage of V ˙ $\dot {\mathrm{V}}$ O 2 peak at the second ventilatory threshold, and running economy. The examined athletes had lower V ˙ $\dot {\mathrm{V}}$ O 2 peak compared to predicted values, highlighting the importance of running economy and fractional utilization of V ˙ $\dot {\mathrm{V}}$ O 2 peak in achieving such performances. Future studies should continue to advance the field by including additional bioenergetic parameters measured during race conditions and expanding the participant cohort of elite marathoners, encompassing both sexes.

OBJECTIVES: The goal of this scoping review was to review some of the challenges hospitals faced in dealing with the shortage of ventilators during the COVID-19 pandemic and the solutions they were able to implement or suggested. By highlighting these problems and solutions, we hope this review can catalyze further discussions about how to better prepare for future pandemics and medical supply shortages. DATA SOURCES: A comprehensive search strategy using identifying key words was applied to several different databases to procure relevant literature. STUDY SELECTION: Four thousand two hundred fifty-nine studies were found in the initial search. Inclusion and exclusion criteria were created and applied to screen studies. Included studies focused on the supply and distribution of ventilators during the COVID-19 pandemic. In the case where reviewers disagreed about whether a study should be included, a third reviewer acted as a tie-breaker. DATA EXTRACTION: Thirty-three studies were included for final data extraction. Two independent reviewers collected various data points from these studies, including the main challenges discussed by the authors, the level of ventilator shortage being addressed, whether ventilator sharing was discussed, and the limitations of the study. DATA SYNTHESIS: A third reviewer compared the collected data and decided on the results. CONCLUSIONS: Some of the common solutions for the ventilator shortage discussed included augmenting overall ventilator supply through increased production, transporting ventilators between hospitals, ventilator sharing, designing new ventilators, and repurposing other resources to help address shortages of supplies.

INTRODUCTION: The recent US Food and Drug Administration approval of resmetirom for treating metabolic dysfunction-associated steatohepatitis in patients necessitates patient selection for significant fibrosis or higher (≥F2). No existing vibration-controlled transient elastography (VCTE) algorithm targets ≥F2. METHODS: The mAchine Learning ADvanceD fibrosis and rIsk metabolic dysfunction-associated steatohepatitis Novel predictor (ALADDIN) study addressed this gap by introducing a machine-learning-based web calculator that estimates the likelihood of significant fibrosis using routine laboratory parameters with and without VCTE. Our study included a training set of 827 patients, a testing set of 504 patients with biopsy-confirmed metabolic dysfunction-associated steatotic liver disease from 6 centers, and an external validation set of 1,299 patients from 9 centers. Five algorithms were compared using area under the curve (AUC) in the test set: ElasticNet, random forest, gradient boosting machines, XGBoost, and neural networks. The top 3 (random forest, gradient boosting machines, and XGBoost) formed an ensemble model. RESULTS: In the external validation set, the ALADDIN-F2-VCTE model, using routine laboratory parameters with VCTE (AUC 0.791, 95% confidence interval [CI]: 0.764–0.819), outperformed VCTE alone (0.745, 95% CI 0.717–0.772, P < 0.0001), FibroScan-aspartate aminotransferase (0.710, 0.679–0.748, P < 0.0001), and Agile-3 model (0.740, 0.710–0.770, P < 0.0001) regarding the AUC, decision curve analysis, and calibration. The ALADDIN-F2-Lab model, using routine laboratory parameters without VCTE, achieved an AUC of 0.706 (95% CI: 0.668–0.749) and outperformed Fibrosis-4, steatosis-associated fibrosis estimator, and LiverRisk scores. DISCUSSION: Along with the steatosis-associated fibrosis estimator model developed to target significant fibrosis or higher, ALADDIN-F2-VCTE (https://aihepatology.shinyapps.io/ALADDIN1) uniquely supports a refined noninvasive approach to patient selection for resmetirom without the need for liver biopsy. In addition, ALADDIN-F2-Lab (https://aihepatology.shinyapps.io/ALADDIN2) offers an effective alternative when VCTE is unavailable.

Abstract Pancreatic neuroendocrine tumors (PanNETs) have an age-adjusted incidence of 1.5 per 100,000 people, with a notable rise in the incidence of small (≤2 cm) non-functional PanNETs (NF-PanNETs) in recent decades. While surgery is traditionally the preferred treatment for localized NF-PanNETs, active surveillance is now an accepted management strategy for tumors smaller than 2 cm due to their relatively benign behavior. However, this approach has not yet been fully integrated into routine clinical practice. There is considerable histopathological heterogeneity observed in NF-PanNETs, which results in significant variability in clinical presentation, behavior and treatment outcomes. Hence, tumor size alone does not provide sufficient certainty regarding a benign clinical course for decision-making. Although studies advocate for incorporating WHO grade into clinical prognostic assessments, this marker also has limitations. Several established tissue-based markers, such as ATRX and DAXX alterations, alternative lengthening of telomeres, and copy number variations, can be used for PanNET subtyping and correlate with metastatic risk. Combining these markers with traditional histopathological parameters may yield a more comprehensive and accurate prognostic assessment. This review discusses the advantages and limitations of current prognostication methods for small NF-PanNETs and highlights recently established prognostic markers, along with the requirements for their implementation into routine clinical practice. It also proposes practical solutions to address the challenges associated with the immediate integration of these biomarkers into routine care.

Abstract Background The treatment of locally advanced rectal cancer now includes “watch-and-wait” (WW) management for patients who exhibit a clinical complete response (cCR) to total neoadjuvant therapy (TNT). We assessed patients’ knowledge and preferences regarding WW with the goal of incorporating patient input into clinical trial design. Methods Rectal cancer patients in advocacy groups (COLONTOWN/Rectalburgh and Fight CRC) were surveyed regarding perceptions about treatment strategies, tolerable risks of treatment failure, and preferences on clinical trial design. Surveys were initially distributed in 2019, with the shift toward WW prompting re-survey of select questions in 2023. Results All respondents preferred enrollment in trials that incorporated patient input. Most respondents (76%) preferred treatment that incorporated chemotherapy escalation over radiation escalation. Furthermore, when presented with a hypothetical patient who developed a cCR after chemoradiation (without the option for WW), 58% of patients chose surgical treatment (with 100% risk of permanent ostomy and 80% chance of cure) over omission of surgery (with &lt;80% chance of cure). In contrast, when the hypothetical patient developed a cCR after TNT (with an option for WW), 82% of patients opted for selective WW over surgery. Conclusions This work successfully integrated patient advocacy groups as a resource for obtaining patient input. Surveys revealed patients had a strong preference for chemotherapy escalation, for selective WW when offered, and for incorporation of input into future clinical trial design. These findings describe how well-informed patients approach complex medical decision-making and serve as a starting point for future studies seeking to incorporate patient voices.

Précis: 240-degree and 360-degree goniotomy (GT) demonstrated similar efficacy in intraocular pressure (IOP) reduction, both outperforming 120-degree GT in patients with juvenile open angle glaucoma (JOAG) at postoperative 6-month follow-up. Objective: To compare the surgical efficacy and safety of 120-degree, 240-degree, and 360-degree GT for patients with JOAG. Patients and Methods: This multicenter retrospective study included 102 eyes of 102 patients with JOAG, who underwent GT with a follow-up of at least 6 months. Patients were categorized into 3 groups: (1) 120-degree GT, (2) 240-degree GT, and (3) 360-degree GT. IOP, glaucoma medications, and complications were recorded at baseline and the final visit. Complete success and qualified success were defined as a postoperative IOP ≤21 mm Hg without and with medications, respectively. Results: Mean age of the participants was 24.4 ± 7.9 years. After a mean follow-up of 8.1 ± 2.7 months, complete success rates were similar between the 240-degree GT (45.2%) and the 360-degree GT (63.2%; P = 0.135), and both were superior to 120-degree GT (18.2%; P < 0.05). Qualified success rates among patients in the 120-degree, 240-degree, and 360-degree GT groups were 93.9%, 96.8%, and 100%, respectively, and showed no statistically significant difference (P = 0.292). 360-degree GT required fewer medications than 240-degree GT and 120-degree GT (P < 0.05), with no significant difference in medications between 120-degree GT and 240-degree GT (P > 0.05). Hyphema was the most common postoperative complication, with a significantly higher incidence in the 360-degree GT (68.4%) compared with the 240-degree GT (41.9%) and 120-degree GT (33.3%; P < 0.05). Conclusions: 240-degree and 360-degree GT showed similar efficacy in IOP reduction and were superior to 120-degree GT. More extensive GT may provide better outcomes in JOAG.

ABSTRACT Understanding lung cancer evolution can identify tools for intercepting its growth. In a landscape analysis of 1024 lung adenocarcinomas (LUAD) with deep whole-genome sequencing integrated with multiomic data, we identified 542 LUAD that displayed diverse clonal architecture. In this group, we observed an interplay between mobile elements, endogenous and exogenous mutational processes, distinct driver genes, and epidemiological features. Our results revealed divergent evolutionary trajectories based on tobacco smoking exposure, ancestry, and sex. LUAD from smokers showed an abundance of tobacco-related C:G>A:T driver mutations in KRAS plus short subclonal diversification. LUAD in never smokers showed early occurrence of copy number alterations and EGFR mutations associated with SBS5 and SBS40a mutational signatures. Tumors harboring EGFR mutations exhibited long latency, particularly in females of European-ancestry (EU_N). In EU_N, EGFR mutations preceded the occurrence of other driver genes, including TP53 and RBM10. Tumors from Asian never smokers showed a short clonal evolution and presented with heterogeneous repetitive patterns for the inferred mutational order. Importantly, we found that the mutational signature ID2 is a marker of a previously unrecognized mechanism for LUAD evolution. Tumors with ID2 showed short latency and high L1 retrotransposon activity linked to L1 promoter demethylation. These tumors exhibited an aggressive phenotype, characterized by increased genomic instability, elevated hypoxia scores, low burden of neoantigens, propensity to develop metastasis, and poor overall survival. Re-activated L1 retrotransposition-induced mutagenesis can contribute to the origin of the mutational signature ID2, including through the regulation of the transcriptional factor ZNF695 , a member of the KZFP family. The complex nature of LUAD evolution creates both challenges and opportunities for screening and treatment plans.

Abstract Objectives To determine the efficacy, safety and pharmacodynamics of belumosudil in patients with diffuse cutaneous systemic sclerosis (dcSSc) treated with background immunosuppressive therapies. Methods Eligible patients were randomised 1:1:1 to receive belumosudil 200 mg once daily (QD) or twice daily (BID), or placebo for 28 weeks (double-blind period). After unblinding, the patients who received belumosudil continued the same dose, whereas the patients who received placebo were re-randomised for one of the belumosudil doses for 24 weeks (open-label extension). Results Thirty-five and 31 patients were treated in the double-blind and open-label periods, respectively. The study was terminated prematurely, and target enrolment was not met. The primary end point, of CRISS score ≥0.60 at week 24, did not exhibit an efficacy signal in the belumosudil vs placebo groups [odds ratio: 1.06 (0.19–5.82; P = 0.9472) for the QD, and 0.39 (0.07–2.35; P = 0.3078) for the BID group]. Belumosudil was well tolerated and exhibited similar safety profiles in both double-blind and open-label periods. Tissue-based RNA sequencing analysis revealed FOXP3 upregulation and STAT3, IL23A and TGF-β downregulation in patients with CRISS score ≥0.60, which supported the mechanism of action of belumosudil. In blood and tissue samples, trends of decreased fibrosis biomarker levels were seen in the belumosudil-treated group vs placebo. Conclusion Efficacy signal for belumosudil could not be detected. Signalling pathway modulation analysis supported the mechanism of action of belumosudil. A trend for decreased fibrosis-related biomarkers was observed in the belumosudil-treated group. Trial registration ClinicalTrials.gov, https://clinicaltrials.gov, NCT03919799.

OBJECTIVE In this study, the authors aimed to establish a supervised machine learning (ML) model based on multiple tree-based algorithms to predict long-term biochemical outcomes and intervention-free survival (IFS) after endonasal transsphenoidal surgery (ETS) in patients with Cushing’s disease (CD). METHODS The medical records of patients who underwent ETS for CD between 2013 and 2023 were reviewed. Data were collected on the patient’s baseline characteristics, intervention details, histopathology, surgical outcomes, and postoperative endocrine functions. The study’s primary outcome was IFS, and the therapeutic outcomes were labeled as "under control" or "treatment failure," depending on whether additional therapeutic interventions after primary ETS were required. The decision tree and random forest classifiers were trained and tested to predict long-term IFS based on unseen data, using an 80/20 cohort split. RESULTS Data from 150 patients, with a median follow-up period of 56 months, were extracted. In the cohort, 42 (28%) patients required additional intervention for persistent or recurrent CD. Consequently, the IFS rates following ETS alone were 83% at 3 years and 78% at 5 years. Multivariable Cox proportional hazards analysis demonstrated that a smaller tumor diameter that could be detected by MRI (hazard ratio 0.95, 95% CI 0.90–0.99; p = 0.047) was significantly associated with greater IFS. However, the lack of tumor detection on MRI was a poor predictor. The ML-based model using a decision tree model displayed 91% accuracy (95% CI 0.70–0.94, sensitivity 87.0%, specificity 89.0%) in predicting IFS in the unseen test dataset. Random forest analysis revealed that tumor size (mean minimal depth 1.67), Knosp grade (1.75), patient age (1.80), and BMI (1.99) were the four most significant predictors of long-term IFS. CONCLUSIONS The ML algorithm could predict long-term postoperative endocrinological remission in CD with high accuracy, indicating that prognosis may vary not only with previously reported factors such as tumor size, Knosp grade, gross-total resection, and patient age but also with BMI. The decision tree flowchart could potentially stratify patients with CD before ETS, allowing for the selection of personalized treatment options and thereby assisting in determining treatment plans for these patients. This ML model may lead to a deeper understanding of the complex mechanisms of CD by uncovering patterns embedded within the data.

The 2024 Annual Congress of the International Liver Transplantation Society (ILTS) was from May 1–4 in Houston, Texas, USA, under the theme “Liver Disease and Transplantation: Breaking Barriers and Exploring New Frontiers.” In addition to a robust scientific program, the congress also hosted a hands-on cadaveric robotic liver surgery course, a machine perfusion workshop, and a transesophageal echocardiography course. In this report, the ILTS Vanguard and Basic Sciences Committees present a summary of the congress proceedings.