Publications by authors named "T A Van der Velden-de Groot"
Accurate survival prediction of patients with long-bone metastases is challenging, but important for optimizing treatment. The Skeletal Oncology Research Group (SORG) machine learning algorithm (MLA) has been previously developed and internally validated to predict 90-day and 1-year survival. External validation showed promise in the United States and Taiwan.
View Article and Find Full Text PDFTrichophyton indotineae, first identified in India, has increasingly been reported in Asia, the Middle East, Europe, and recently in the USA. The global spread of terbinafine-resistant T. indotineae underscores the urgency of the issue.
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- Limited health literacy (HL) negatively impacts health outcomes and resource use, making it crucial to identify patients at risk, which is challenging in clinical settings.
- This study developed machine learning (ML) algorithms to predict limited HL among spine patients using data from a survey of patients in an outpatient clinic, focusing on various sociodemographic factors.
- The Elastic-Net Penalized Logistic Regression model performed the best, accurately identifying limited HL with a c-statistic of 0.766, indicating its potential for clinical application in screening.
Objectives: Worldwide emergence of clonal outbreaks caused by fluconazole-resistant (FLCR) and the recent emergence of echinocandin- and multidrug-resistant (ECR and MDR) Candida parapsilosis isolates pose serious threats to modern clinics. Conducting large-scale epidemiological studies aimed at determining the genetic composition and antifungal resistance rates is necessary to devise antifungal stewardship and infection control strategies at international, national and local levels. Despite being severely hit by outbreaks due to FLCR C.
View Article and Find Full Text PDFObjective: To describe an outbreak due to Candida vulturna, a newly emerging Candida species belonging to the Candida haemulonii species complex in the Metschnikowiaceae family.
Methods: In this retrospective cohort study we genotyped 14 C. vulturna bloodstream isolates, occurring in a 4-month-period in paediatric cancer patients in a Brazilian hospital.