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Introduction The diagnosis and treatment of Parkinson's disease depend on the assessment of motor symptoms. Wearables and machine learning algorithms have emerged to collect large amounts of data and potentially support clinicians in clinical and ambulant settings. State of the art However, a systematical and reusable data architecture for storage, processing, and analysis of inertial sensor data is not available. Consequently, datasets vary significantly between studies and prevent comparability. Concept To simplify research on the neurodegenerative disorder, we propose an efficient and real-time-optimized architecture compatible with HL7 FHIR backed by a relational database schema. Lessons learned We can verify the adequate performance of the system on an experimental benchmark and in a clinical experiment. However, existing standards need to be further optimized to be fully sufficient for data with high temporal resolution. [ABSTRACT FROM AUTHOR]

Pre‐transplant minimal residual disease (MRD) impacts negatively on post‐transplant relapse risk in acute myeloid leukemia (AML). Therapeutic drug monitoring by calculating area under the curve (AUC) was developed to optimize busulfan (Bu) exposure. Here, we compared post‐transplant outcomes after individualized versus fixed busulfan dosage in intermediate‐risk AML who achieved CR prior to allograft focusing on pre‐transplant flow‐MRD. Eighty‐seven patients (median, 56 years) with intermediate‐risk AML and pre‐transplant flow‐MRD ("different from normal") were included. Thirty‐two patients received individualized busulfan; 54 fixed dosages. Individualized dosage was adjusted in 25/32 patients: increased, n = 18/25 (72%); decreased: n = 7/25 (28%). After median follow‐up of 27 months, we observed lower 3‐year relapses (6%, 2%–19% vs. 35%, 23%–49% p = 0.02), improved 3‐year leukemia‐free survival (LFS) (78%, 54%–91% vs. 55%, 40%–70% p = 0.009) and − overall survival (OS) (82%, 60%–93% vs. 69%, 54%–81% p = 0.05) after individualized compared to fixed Bu. Non‐relapsed mortality (NRM) and acute graft versus host disease (GvHD) were not different. In multivariate analysis, fixed Bu showed unfavorable impact on OS (hazard ratio [HR] 4.6, p = 0.044), LFS (HR 3.6, p = 0.018) and relapses (HR 3.6, p = 0.033). Fixed Bu also had unfavorable impact on LFS (3.6, 1.1–12.6, p = 0.041) in pre‐transplant MRD‐positive patients. Individualized, AUC‐based, busulfan is associated with lower relapses in intermediate‐risk AML patients allografted in CR and may overcome pre‐transplant MRD‐positivity. [ABSTRACT FROM AUTHOR]

Busulfan (Bu) is an important component of many conditioning regimens for allogeneic hematopoietic cell transplantation. The therapeutic window of Bu is well characterized, with strong associations between Bu exposure and the clinical outcome in adults (strongest evidence in myelo-ablative setting) and children (all settings). We provide an overview of the literature on Bu as well as a step-by-step guide to the implementation of Bu therapeutic drug monitoring (TDM). The guide covers the clinical, pharmacological, laboratory and administrative aspects of the procedure. Through this document, we aim to support centers in implementing TDM for Bu to further enhance the success rates of HCT and improve patient outcomes. The Pharmacist Committee of the European Society for Blood and Marrow Transplantation (EBMT) encourages all centers to perform TDM for Bu in the aforementioned indications., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)