Drs S.J.R. Meex

Koene, E. J., Buziau, A. M., Cassiman, D., Cox, T. M., Bons, J., Scheijen, J. L. J. M., Schalkwijk, C. G., Meex, S. J., Saxena, A. R., Esler, W. P., Schrauwen-Hinderling, V. B., Schrauwen, P., & Brouwers, M. C. (2025). Safety and efficacy of pharmacological inhibition of ketohexokinase in hereditary fructose intolerance. Journal of Clinical Investigation, 135(6), Article e187376. https://doi.org/10.1172/JCI187376

Martens, R. J. H., van Doorn, W. P. T. M., Leers, M. P. G., Meex, S. J. R., & Helmich, F. (2025). Unraveling Uncertainty: The Impact of Biological and Analytical Variation on the Prediction Uncertainty of Categorical Prediction Models. Journal of Applied Laboratory Medicine, 10(2), 339-351. Article jfae115. https://doi.org/10.1093/jalm/jfae115

Meex, S. J. R., & Aakre, K. M. (2025). Personalized ranges for blood-test results enable precision diagnostics. Nature, 637(8045), 279-280. https://doi.org/10.1038/d41586-024-03854-9

Heyens, L., Kenjic, H., Dagnelie, P., Schalkwijk, C., Stehouwer, C., Meex, S., Kooman, J., Bekers, O., van Greevenbroek, M., Savelberg, H., Robaeys, G., de Galan, B., Koster, A., van Dongen, M., Eussen, S., & Koek, G. (2024). Forns index and fatty liver index, but not FIB-4, are associated with indices of glycaemia, pre-diabetes and type 2 diabetes: analysis of The Maastricht Study. BMJ Open Gastroenterology, 11(1), Article e001466. https://doi.org/10.1136/bmjgast-2024-001466

Ghossein, M. A., de Kok, J. W. T. M., Eerenberg, F., van Rosmalen, F., Boereboom, R., Duisberg, F., Verharen, K., Sels, J. E. M., Delnoij, T., Geyik, Z., Mingels, A. M. A., Meex, S. J. R., van Kuijk, S. M. J., van Stipdonk, A. M. W., Ghossein, C., Prinzen, F. W., van der Horst, I. C. C., Vernooy, K., van Bussel, B. C. T., & Driessen, R. G. H. (2024). Monitoring of myocardial injury by serial measurements of QRS area and T area: The MaastrICCht cohort. Annals of Noninvasive Electrocardiology, 29(5), Article e70001. https://doi.org/10.1111/anec.70001

van der Mee, F. A. M., Schaper, F., Jansen, J., Bons, J. A. P., Meex, S. J. R., & Cals, J. W. L. (2024). Enhancing Patient Understanding of Laboratory Test Results: Systematic Review of Presentation Formats and Their Impact on Perception, Decision, Action, and Memory. Journal of Medical Internet Research, 26, Article e53993. https://doi.org/10.2196/53993

Jaffe, A. S., Meex, S. J. R., Saenger, A. K., & van Wijk, X. M. R. (2024). A special series on cardiac troponin: An analytical and clinical matter. Journal of Laboratory and Precision Medicine, 9, Article 11. https://doi.org/10.21037/jlpm-24-29

Aakre, K. M., Apple, F. S., Mills, N. L., Meex, S. J. R., Collinson, P. O., & International Federation of Clinical Chemistry Committee on Clinical Applications of Cardiac Biomarkers (IFCC C-CB) (2024). Lower Limits for Reporting High-Sensitivity Cardiac Troponin Assays and Impact of Analytical Performance on Patient Misclassification. Clinical Chemistry, 70(3), 497-505. Article hvad185. https://doi.org/10.1093/clinchem/hvad185

van Doorn, W. P. T. M., Helmich, F., van Dam, P. M. E. L., Jacobs, L. H. J., Stassen, P. M., Bekers, O., & Meex, S. J. R. (2024). Explainable Machine Learning Models for Rapid Risk Stratification in the Emergency Department: A Multicenter Study. Journal of Applied Laboratory Medicine, 9(2), 212-222. Article jfad094. https://doi.org/10.1093/jalm/jfad094

van Dam, P. M. E. L., van Doorn, W. P. T. M., van Gils, F., Sevenich, L., Lambriks, L., Meex, S. J. R., Cals, J. W. L., & Stassen, P. M. (2024). Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency department. Scandinavian Journal of Trauma Resuscitation & Emergency Medicine, 32(1), Article 5. https://doi.org/10.1186/s13049-024-01177-2