Citations

Objective To compare perioperative outcomes, complications, imaging utilization, and device management following posterior vault distraction osteogenesis (PVDO) and spring-mediated cranioplasty (SMC) for multisutural craniosynostosis. Design Retrospective cohort study. Setting Single pediatric tertiary care center. Patients, Participants Twenty-three patients with multisutural craniosynostosis treated between 2017 and 2025 (PVDO, n = 18; SMC, n = 5). Interventions PVDO or SMC. Main Outcome Measure(s) Time to device removal, imaging utilization, reoperations, readmissions, device-related complications, revision surgeries, wound infections, and absolute intracranial volume change. Results PVDO was associated with earlier device removal than SMC (78.7 ± 22.1 vs. 133.0 ± 27.4 days; P = .0015) but greater postoperative imaging utilization during the first year (5.33 ± 1.28 vs. 2.80 ± 1.64 studies; P = .01). Rates of reoperation (22.2% vs. 0%), readmission (22.2% vs. 40.0%), device-related complications (11.1% vs. 0%), revision surgery (16.7% vs. 0%), and wound infection (22.2% vs. 20.0%) did not differ significantly (all P ≥ .50). Preoperative imaging utilization and postoperative intracranial volume gain were comparable between groups. Conclusions PVDO and SMC demonstrated similar safety profiles and intracranial volume expansion in patients with multisutural craniosynostosis. Compared with SMC, PVDO enabled earlier device removal but required increased postoperative imaging. These findings may inform operative planning, postoperative surveillance, and family counseling. Larger, multicenter studies with longer follow-up are needed to evaluate long-term outcomes.

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.

Ascites development in cirrhosis reduces 5-year survival from 80% to 30%, yet substantial heterogeneity exists among patients with comparable ascites severity. This multicenter retrospective cohort study included adult liver transplant candidates with ascites at 4 United States centers (2015–2024). Latent class analysis was performed using 7 clinical variables: ascites grade, bilirubin, albumin, platelet count, estimated glomerular filtration rate, systolic blood pressure, and portal vein thrombosis. The derivation cohort (n=625) from the University of California San Francisco and Columbia University was randomly split 80/20 for model development and internal validation. External validation was performed at the University of Southern California (n=59) and Mayo Clinic (n=93). Primary outcomes were acute kidney injury (AKI) and waitlist mortality over 365 days. Three phenotypes emerged: “CKD-Metabolic” (30.4%, lowest eGFR 76.5 mL/min/1.73 m 2 ), “Vasodilatory-Synthetic Dysfunction” (38.9%, highest bilirubin 7.03 mg/dL, lowest blood pressure 117.5 mmHg), and “PVT-Intermediate” (30.7%, severe thrombocytopenia 68.1×10 3 /μL, 24.0% PVT). In validation cohorts (n=305), phenotypes demonstrated robust classification (mean posterior probability 0.823–0.855). Vasodilatory-Synthetic Dysfunction showed increased AKI risk versus CKD-Metabolic in derivation (MELD 3.0-adjusted HR 2.95, 95% CI 2.07–4.22, p <0.001) and validation cohorts (HR 3.39, 95% CI 1.93–5.94, p <0.001). Competing risk analysis revealed no mortality differences, but Vasodilatory-Synthetic Dysfunction was associated with higher transplantation rates (validation: HR 1.63, 95% CI 1.19–2.22, p =0.002). Three reproducible clinical phenotypes of ascites were identified with distinct risk profiles. The Vasodilatory-Synthetic Dysfunction phenotype was associated with a 3-fold increase in the risk of AKI that persisted after adjustment for MELD 3.0. No differences in waitlist mortality were observed, likely reflecting effective MELD-based transplant allocation that preferentially removes the highest-acuity patients from the waitlist.

Cardio-oncology has emerged as a critical discipline in modern medicine due to the growing population of cancer survivors and the increasing recognition of cardiovascular disease as a major cause of morbidity and mortality in this population. While there have been significant advances in chemotherapy such as advances in chemotherapy, targeted therapies, immunotherapies, and radiation therapy, these treatments are linked to a wide range of cardiovascular toxicities such as myocarditis, arrhythmias, and progressive fibrotic remodeling. These toxicities tend to be caused by interrelated and multifactorial cellular processes including endothelial damage, immunological dysregulation and mitochondrial dysfunction. Therefore, early diagnosis of subclinical harm using multimodal surveillance strategies integrating clinical risk assessment, specialized clinical imaging, and circulating biomarkers has replaced reactive care of overt cardiotoxicity in modern cardio-oncology. Echocardiographic techniques such as longitudinal strain, with the help of biomarker-guided surveillance of natriuretic peptides and cardiac troponins, have made the early detection of cardiac dysfunction more effective. However, the current prediction risk models are still constrained and limited by their dependence on static clinical variables and their partial integration of biological mechanisms. This review examines the current methods for risk stratification and surveillance throughout the cancer care continuum, including baseline assessment, monitoring during active therapy, and long-term survivorship surveillance. Future approaches for tailored cardiovascular care are also highlighted, including new advances in precision cardio-oncology such as multi-omics profiling, molecular biomarkers, artificial intelligence, and mechanism-guided preventative strategies. Therefore, advancing biologically informed and risk-adapted monitoring frameworks may enhance early diagnosis, maximize cardioprotective measures, and lower long-term cardiovascular consequences.

ABO incompatibility is frequent in haematopoietic stem cell transplantation (HSCT), yet the clinical impact of non-ABO red blood cell (RBC) alloimmunisation remains less defined. We describe the clinical course of a man in his 50s with chronic eosinophilic leukaemia who underwent a mismatched unrelated donor (MMUD) HSCT. Despite a major ABO mismatch and high-titre pre-existing anti-E antibodies against an E-antigen positive donor, the patient achieved successful trilineage engraftment without haemolysis. Six months after the transplant, he developed severe pancytopenia and a positive direct antiglobulin test (DAT) with anti-E elution. These serologic findings coincided with disease relapse rather than isolated immune-mediated haemolysis. This case illustrates that successful engraftment is possible across RhE-incompatibility and underscores the need to interpret late serologic abnormalities within the broader context of graft function and disease status.

ABSTRACT The integration of Internet of Things devices in medicine has paved the way for novel diagnostic and therapeutic solutions that offer ‘smart’ capabilities, especially for at‐home wound monitoring. Such capabilities include increasing portability, diminished gaps in care through continuous analysis, and real‐time programmable manipulation of device parameters to intervene more rapidly. This scoping review explores the landscape of Internet of Things devices, including smart bandages, wearable and skin‐interfaced sensors, and mobile app‐connected devices, specifically designed for chronic wound monitoring in a remote, at‐home setting. We reviewed literature from PubMed, IEEE Xplore, Scopus, and Web of Science, using keywords related to Internet of Things and chronic wound care. The evaluation criteria focused on biomarkers analysed, Internet of Things connectivity technology, experimental models used for device validation, and unique device strengths or weaknesses. Our review identified 52 unique studies comprising 77 data entries across five biomarker categories: gas and oxygen saturation, pH, metabolic markers, biophysical parameters of the wound microenvironment, and molecular markers of inflammation or infection. These devices span a wide landscape of biomarkers analysed to predict and monitor wound recovery, with the potential to improve patient outcomes through personalised treatment and timely interventions. However, many devices were never validated clinically on humans and faced limitations in power delivery, accuracy, stability, and reliability that challenge their potential usability in humans for wound monitoring. This review provides a comprehensive understanding of the potential and limitations of Internet of Things devices in at‐home wound care, highlighting areas for future research and development.