Publications by authors named "T J de Groot"

Article Synopsis
  • 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.
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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.

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Objective: 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.

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Objectives: Candida tropicalis is a medically important yeast with increasing antifungal resistance, but nosocomial transmission is rarely reported. This study genotyped C. tropicalis isolates from Italian hospitals to uncover potential nosocomial transmission and assess resistance.

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The composition of the vaginal microbiota prior to an IVF/IVF-ICSI treatment can predict the chance of achieving a pregnancy. To improve clinical applicability and be more patient-friendly, the self-collection of vaginal samples would be preferable. However, the reliability of patient-collected samples compared to physician-collected samples remains unclear.

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