Responsiveness of the condition-specific Outcome measures for VAscular MAlformations (OVAMA) questionnaire to measure symptoms and appearance in patients with vascular malformations.

Background: Evidence-based guidelines for the treatment of vascular malformations (VMs) are not readily available, possibly due to the diversity in methods used to evaluate treatment efficacy in clinical research, complicating the aggregation and comparison of study results. The Outcome measures for VAscular MAlformations (OVAMA) questionnaire was developed to measure uniformly symptoms and appearance (i.e.

Genetic mutations and phenotype characteristics in peripheral vascular malformations: A systematic review.

Vascular malformations (VMs) are clinically diverse with regard to the vessel type, anatomical location, tissue involvement and size. Consequently, symptoms and disease impact differ significantly. Diverse causative mutations in more and more genes are discovered and play a major role in the development of VMs.

Characterization of Patient-Derived GNAQ Mutated Endothelial Cells from Capillary Malformations.

Capillary malformations (CM) (port-wine stains) are congenital skin lesions that are characterized by dilated capillaries and postcapillary venules. CMs are caused by altered functioning of the vascular endothelium. Somatic genetic mutations have predominantly been identified in the endothelial cells of CMs, providing an opportunity for the development of targeted therapies.

Exceptional Sorption of Heavy Metals from Natural Water by Halloysite Particles: A New Prospect of Highly Efficient Water Remediation.

Halloysite particles, with their unique multilayer nanostructure, are demonstrated here as highly efficient and readily available sorbent of heavy metals that can be easily scaled up and used in large-scale water remediation facilities. The various methods of raw material purification were applied, and their effects were verified using techniques such as BET isotherm (determination of specific surface area and size of pores), XRF analysis (composition), and SEM imaging (determination of morphology). A series of adsorption experiments for aqueous solutions of metal ions (i.

Appearance-related concerns and their impact on health-related quality of life in patients with peripheral vascular malformations.

Background: Peripheral vascular malformations (VMs) may lead to disfigurement of the body and face, potentially impairing aesthetic appearance. Yet, data on appearance in this population is limited. This study aimed to examine appearance-related concerns and their impact on health-related quality of life (HR-QoL) in patients with VMs.

The long-term progression of macrodactyly.

Background: Macrodactyly is a rare congenital disorder of overgrowth affecting the digits of the upper or lower extremity. Mostly, patients are surgically treated during childhood to reduce the digit or to stop growth. There are no standardized guidelines for the treatment and follow-up of macrodactyly.

Clinical characteristics associated with pain in patients with peripheral vascular malformations.

Objective: Vascular malformations (VM) can negatively impact the patient's quality of life (QoL). Pain is a common problem in these patients. The aim of this study was to investigate risk factors associated with pain and to assess how pain affects QoL.

Development of a condition-specific patient-reported outcome measure for measuring symptoms and appearance in vascular malformations: the OVAMA questionnaire.

Background: The symptoms and appearance of vascular malformations can severely harm a patient's quality of life. The aim of treatment of vascular malformations generally is to improve condition-specific symptoms and/or appearance. Therefore, it is highly important to start testing treatment effects in clinical studies from the patient's perspective.

Does the SORG Algorithm Predict 5-year Survival in Patients with Chondrosarcoma? An External Validation.

Background: We developed a machine learning algorithm to predict the survival of patients with chondrosarcoma. The algorithm demonstrated excellent discrimination and calibration on internal validation in a derivation cohort based on data from the Surveillance, Epidemiology, and End Results (SEER) registry. However, the algorithm has not been validated in an independent external dataset.