Predictive Performance of Cardiovascular Disease Risk Prediction Algorithms in People Living With HIV

Rosan A. van Zoest*, Matthew Law, Caroline A. Sabin, Ilonca Vaartjes, Marc Van der Valk, Joop E. Arends, Peter Reiss, Ferdinand W. Wit, S. E. Geerlings, M. H. Godfried, A. Goorhuis, J. W. Hovius, T. W. Kuijpers, F. J. B. Nellen, D. T. van der Poll, J. M. Prins, H. J. M. van Vugt, W. J. Wiersinga, F. W. M. N. Wit, M. van DuinenM. T. E. Cornelissen, E. J. G. Peters, M. Groot, A. Verbon, J. E. A. van Beek, J. de Groot, M. G. J. de Boer, J. V. Smit, E. Smit, S. H. Lowe, A. M. L. Oude Lashof, D. Posthouwer, R. P. Ackens, K. Burgers, J. Schippers, I. H. M. van Loo, T. R. A. Havenith, P. H. M. Smits, S. Weijer, G. J. Kootstra, R. Jansen, C. J. Brouwer, A. J. A. M. van der Ven, M. de Haan, R. Jansen, M. van Wijk, M. Bakker, A. de Jong, M. van den Akker, R. van der Meer, ATHENA Natl Observational HIV

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)562-571
Number of pages10
JournalJaids-journal of Acquired Immune Deficiency Syndromes
Volume81
Issue number5
DOIs
Publication statusPublished - 15 Aug 2019

Keywords

  • DATA-COLLECTION
  • EVENTS
  • FRAMINGHAM
  • HEART-DISEASE
  • HIV
  • HUMAN-IMMUNODEFICIENCY-VIRUS
  • INFECTED PATIENTS
  • INFLAMMATION
  • MYOCARDIAL-INFARCTION
  • SCORE
  • SUBCLINICAL ATHEROSCLEROSIS
  • cardiovascular disease
  • risk prediction algorithms
  • CARDIOLOGY/AMERICAN HEART ASSOCIATION
  • AMERICAN-COLLEGE

Cite this

van Zoest, R. A., Law, M., Sabin, C. A., Vaartjes, I., Van der Valk, M., Arends, J. E., Reiss, P., Wit, F. W., Geerlings, S. E., Godfried, M. H., Goorhuis, A., Hovius, J. W., Kuijpers, T. W., Nellen, F. J. B., van der Poll, D. T., Prins, J. M., van Vugt, H. J. M., Wiersinga, W. J., Wit, F. W. M. N., ... ATHENA Natl Observational HIV (2019). Predictive Performance of Cardiovascular Disease Risk Prediction Algorithms in People Living With HIV. Jaids-journal of Acquired Immune Deficiency Syndromes, 81(5), 562-571. https://doi.org/10.1097/QAI.0000000000002069