Citations

Background: In the emergency setting, many diagnostic pathways incorporate change in high-sensitivity cardiac troponin (hs-cTn) concentrations (i.e., the delta) to classify patients as low-risk (rule-out) or high-risk (rule-in) for possible myocardial infarction (MI). However, the impact of analytical variation on the delta for correct classification is unknown, especially at concentrations below and around the 99th percentile. Our objective was to assess the impact of delta variation for correct risk classification across the European Society of Cardiology (ESC 0/1 h and 0/2 h), the High-STEACS, and the common change criteria (3C) pathways. Methods: A yearlong accuracy study for hs-cTnT was performed where laboratories across Canada tested three patient-based samples (level 1 target value = 6 ng/L, level 2 target value = 9 ng/L, level 3 target value = 12 ng/L) monthly across 41 different analyzers. The assigned low-delta between levels 1 and 2 was 3 ng/L (i.e., 9 − 6 = 3 ng/L) and the assigned high-delta between levels 1 and 3 was 6 ng/L (i.e., 12 − 6 = 6 ng/L). The low- and high-deltas for each analyzer were determined monthly from the measured values, with the difference calculated from the assigned deltas. The obtained deltas were then assessed via the different pathways on correct classification (i.e., percent correct with 95% confidence intervals, CI) and using non-parametric analyses. Results: The median (interquartile range) difference between the measured versus assigned low-delta (n = 436) and high-delta (n = 439) was −1 ng/L (−1 to 0). The correct classification differed among the pathways. The ESC 0/1 h pathway yielded the lowest percentage of correct classification at 35.3% (95% CI: 30.8 to 40.0) for the low-delta and 90.0% (95% CI: 86.8 to 92.6) for the high-delta. The 3C and ESC 0/2 h pathways yielded higher and equivalent estimates on correct classification: 95.2% (95% CI: 92.7 to 97.0) for the low-delta and 98.2% (95% CI: 96.4 to 99.2) for the high-delta. The High-STEACS pathway yielded 99.5% (95% CI: 98.4 to 99.9) of correct classifications for the high-delta but only 36.2% (95% CI: 31.7 to 40.9) for the low-delta. Conclusions: Analytical variation will impact risk classification for MI when using hs-cTn deltas alone per the pathways. The 3C and ESC 0/2 h pathways have <5% misclassification when using deltas for hs-cTnT in this dataset. Additional studies with different hs-cTnI assays at concentrations below and near the 99th percentile are warranted to confirm these findings.

ABSTRACT Background Primary hyperoxaluria (PH), a rare autosomal recessive disease of oxalate accumulation in the kidneys, is caused by biallelic pathogenic changes in three known genes: AGXT (PH1), GRHPR (PH2) and HOGA1 (PH3). Methods To better understand the overall risk of developing clinical PH, we manually curated and classified PH genetic variants and calculated the estimated genetic prevalence overall and in five ethnic subpopulations using allelic frequencies from the population Genome Aggregation Database (gnomAD version 2.1.1). Results Of the 651 identified PH variants, 273 were found in gnomAD 2.1.1 on the day of download and after reclassification, 208 were determined pathogenic (P) or likely pathogenic (LP) (AGXT, n = 94; GRHPR, n = 46; and HOGA1, n = 68) and a further 65 were classified as rare variants of uncertain significance (VUS). Using P and LP only, estimated carrier frequency was 1:229 for PH1, 1:465 for PH2 and 1:151 for PH3, while genetic prevalence was 1:209 357 for PH1, 1:863 028 for PH2 and 1:90 834 for PH3 (i.e. nearly 5, 1 and 11 per 1 million individuals, respectively). The highest carrier frequencies for AGXT pathogenic variants were in East Asians (1 in 146) and the European non-Finnish population (1 in 187); for GRHPR, South Asians (1 in 313) and the European non-Finnish population (1 in 413); and for HOGA1, Ashkenazi Jewish (1 in 38) and East Asians (1 in 100). The estimated risk of developing PH was ≈1:59 017. Conclusions This careful benchmarking exercise indicates that a significant number of individuals at risk for PH symptoms remain undiagnosed. Since these numbers exceed known diagnosed cases of PH, improved screening and diagnosis of this underestimated disease is necessary.

Key Points Circulating proteins independently associated with kidney stone diagnosis are related to kidney stone matrix. Lower circulating uromodulin and higher scavenger receptor cysteine-rich domain-containing group B protein levels were associated with higher kidney stone risk, whereas kidney stone presence elevates plasma matrix metalloproteinase 7 level. The protective effect of uromodulin against kidney stones was independent of kidney function. Background Kidney stones are increasingly recognized as a systemic disorder with a high global prevalence. However, large proteomics studies are lacking. Methods An individual-level proteomics study with rigorous adjustments was performed on 35,331 UK Biobank participants to uncover the independent associations between 2922 circulating proteins and prevalent kidney stone disease. Mendelian randomization analysis was used to assess causal relationships. Findings were validated using genomic data from the Mayo Clinic Biobank ( N =43,744), concentration-response analysis, transcriptomics analyses, and additional genome-wide association studies. Results Nine plasma proteins were independently associated with a kidney stone diagnosis, including reduced uromodulin (UMOD; β , −0.10; 95% confidence interval [CI], −0.15 to −0.05) and elevated scavenger receptor cysteine-rich domain-containing group B protein (SSC4D; β , 0.28; 95% CI, 0.17 to 0.38) and were enriched in extracellular matrix pathways. Mendelian randomization analysis revealed that the presence of kidney stone contributed to elevated levels of matrix metalloproteinase 7. Conversely, lower plasma UMOD (odds ratio [OR], 0.93; 95% CI, 0.90 to 0.97) and higher plasma SSC4D (OR, 1.10; 95% CI, 1.02 to 1.18) were associated with kidney stone risk. These associations were consistently replicated in the Mayo Clinic Biobank dataset (UMOD; OR, 0.92; 95% CI, 0.86 to 0.98; SSC4D; OR, 1.13; 95% CI, 1.01 to 1.27) and further validated by a concentration-response analysis. Single-nucleus RNA sequencing and quantitative trait loci analyses confirmed consistent associations between thick ascending limb UMOD expression and stone former status and with blood and urine UMOD concentrations. Genome-wide association study analysis, adjusted for eGFR, suggested that the protective role of UMOD against kidney stones was independent of kidney function. Conclusions This study highlights significant associations between concentrations of specific blood proteins and a history of kidney stones. Several implicated proteins are related to kidney stone matrix, with UMOD independently associated with lower risk and SSC4D with higher risk of kidney stones.

AbstractDespite advances in acute myeloid leukemia (AML) treatment, significant unmet medical needs remain. Surrogate end points for overall survival can accelerate the approval of novel therapies. Measurable residual disease (MRD) is a promising surrogate end point candidate, providing a sensitive and quantitative assessment of disease burden. Numerous studies have demonstrated that negative MRD status—across diverse methodologies, assessment timepoints and thresholds, patient subgroups, and clinical settings—independently predicts improved survival. Although MRD can inform therapeutic decisions at the patient level, its formal integration as a primary surrogate end point in regulatory frameworks for clinical trials requires rigorous validation. MRD Partnership and Alliance in AML Clinical Treatment (MPAACT) is a research consortium among industry and academic leaders. MPAACT actively engages with regulatory agencies, health technology assessment bodies, technology vendors, and patient groups to establish a pathway for validating MRD as a surrogate end point in AML clinical trials. For the current article, the authors reviewed the status of MRD assessment, its use in recent clinical trials, current MRD assessment methodologies, standardization, regulatory guidance, statistical approaches, and patient access considerations necessary for MRD to become a surrogate clinical trial end point. The extensive collaboration between MPAACT, global industry, and academic partners—including data sharing and resource integration—underscores the collective commitment to advancing AML therapies. Establishing MRD as a surrogate end point could accelerate the development and approval of innovative treatments, ultimately improving patient outcomes.

Abstract Prostate cancer is the most common cancer in two thirds of the world, with an expected doubling in both incidence and mortality in the next two decades. No strong environmental associations exist for the development of prostate cancer; therefore, lifestyle measures are unlikely to mitigate this increasing burden. The last three decades have seen rapid developments in the diagnostic and therapeutic landscape of prostate cancer, including multiparametric magnetic resonance imaging, positron emission tomography, robotic surgery, image‐guided hypofractionated and stereotactic radiotherapy, novel anti‐androgens and radioligand therapies. Prostate cancer is unique in that not everyone with a diagnosis needs treatment, and active surveillance is the preferred option for some. This review discusses the contemporary management of all stages of prostate cancer in the light of these modern developments, enabling holistic individualization of treatment, and describes the promise of future research to further improve outcomes.

Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%. The development of new treatments is dependent upon multi-institutional collaborative clinical trials requiring reproducible and accurate centralized response assessment. We present the results of the BraTS-PEDs 2023 challenge, the first Brain Tumor Segmentation (BraTS) challenge focused on pediatric brain tumors. This challenge utilized data acquired from multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. BraTS-PEDs 2023 aimed to evaluate volumetric segmentation algorithms for pediatric brain gliomas from magnetic resonance imaging using standardized quantitative performance evaluation metrics employed across the BraTS 2023 challenges. The top-performing AI approaches for pediatric tumor analysis included ensembles of nnU-Net and Swin UNETR, Auto3DSeg, or nnU-Net with a self-supervised framework. The BraTS-PEDs 2023 challenge fostered collaboration between clinicians (neuro-oncologists, neuroradiologists) and AI/imaging scientists, promoting faster data sharing and the development of automated volumetric analysis techniques. These advancements could significantly benefit clinical trials and improve the care of children with brain tumors.

In REACH3 (ClinicalTrials.gov identifier: NCT03112603 ), ruxolitinib was investigated versus best available therapy (BAT) for 3 years in patients with steroid-refractory/dependent chronic graft-versus-host-disease (SR/D-cGVHD). Patients received ruxolitinib (10 mg twice daily) or BAT for 24 weeks; thereafter (weeks 24-156), patients continued randomized treatment, entered long-term survival follow-up, or crossed over from BAT to ruxolitinib. In 329 randomly assigned patients (ruxolitinib: 165; BAT: 164), the median failure-free survival (FFS) was 38.4 months for ruxolitinib versus 5.7 months for BAT (hazard ratio, 0.36 [95% CI, 0.27 to 0.49]). Median duration of response (DOR) was not reached for ruxolitinib versus 6.4 months for BAT. Ruxolitinib-treated patients had a higher probability of FFS (ruxolitinib: 56.5%; BAT: 18.2%) and maintaining a response (ruxolitinib: 59.6%; BAT: 26.7%) at 36 months. Median overall survival was not reached. Nonrelapse mortality and malignancy relapse/recurrence events were low. In 70 patients who crossed over to ruxolitinib, the overall response rate (50.0%) at week 24 and best overall response (81.4%) during the crossover period were consistent with the primary analysis of randomly assigned patients. No new safety signals were observed. Ruxolitinib provided longer FFS and DOR than BAT, demonstrating sustained efficacy and manageable safety over 3 years of follow-up in patients with SR/D-cGVHD.

Abstract Several complications are associated with total shoulder arthroplasty (TSA), including glenoid loosening and joint instability. These complications are linked to imbalances in glenohumeral muscle forces, which cause eccentric loading that occurs on the outer edge of the glenoid component, rather than in the center of the glenoid, and can be damaging to the implant and destabilizing the joint. The purpose of this study was to develop musculoskeletal models of TSA patients using their skeletal geometry acquired from CT and their kinematics acquired with high-speed stereo radiography (HSSR) to predict glenohumeral joint loading and muscle forces for abduction and flexion and describe how these loads differ from their native contralateral side. CT data was collected for both shoulders of 6 TSA patients (three anatomic and three reverse). Models were developed using CT reconstructions of each patient’s scapula and humerus, and placed implant geometry with CT-derived alignment. Mesh morphing was used to create personalized muscle attachment sites on the scapula. Simulation of abduction and flexion to quantify muscle and joint forces was driven with limb-specific HSSR kinematics. At 90 deg abduction, reverse TSA increased superior shear force by 11.2% bodyweight (BW) and decreased medial compressive force by 27.5%BW compared to each patient’s contralateral shoulder. Lateral deltoid elevation moment arms and stability ratios increased 9.61 mm and 0.58, respectively. At 90 deg abduction, anatomic TSA patients increased humeral internal rotation by 52.7 deg and decreased rotator cuff force by 9.4%BW. Patient-specific musculoskeletal models quantified differences in glenohumeral joint mechanics. This study revealed muscle and kinematic mechanisms that could lead to edge loading and glenoid loosening in TSA and can inform personalized surgical planning for implant alignment with the goal of improving patient outcomes.

INTRODUCTION: Many patients with chronic pouchitis and Crohn's-like disease of the pouch (CLDP) are treated with biologics; however, the comparative effectiveness of advanced therapies in this population has not been systematically evaluated. We sought to compare the effectiveness of antitumor necrosis factor α (anti-TNF) therapies and ustekinumab in patients with chronic inflammatory conditions of the pouch. METHODS: We conducted a prospective, multicenter, cohort study. We included patients with chronic pouchitis and CLDP initiating treatment with anti-TNF therapies or ustekinumab. The primary outcome was clinical remission at 6 months after induction. We also evaluated clinical remission at 6 months among patients with chronic pouchitis and CLDP separately. RESULTS: Among 132 patients, 106 (80%) had a diagnosis of CLDP and 82 (62%) initiated therapy with ustekinumab. A significantly higher proportion of patients with CLDP treated with ustekinumab were in clinical remission at 6 months as compared with patients treated with anti-TNF therapy (62% vs 40%, P = 0.027); however, there was no significant difference among patients with chronic pouchitis ( P = 0.946). There was no independent statistical significance in the odds of remission at 6 months among patients with CLDP among patients receiving ustekinumab compared with anti-TNF therapy (adjusted odds ratio 1.91, 95% confidence interval 0.69–5.30) after adjusting for presence of a fistula, number of preoperative advanced therapies, and number of advanced therapies after IPAA. DISCUSSION: These data suggest the potential benefit of ustekinumab in patients with CLDP and should prompt future novel effectiveness evaluations in this population.