Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Classification Models for Neurocognitive Impairment in HIV Infection Based on Demographic and Clinical Variables

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • معلومة اضافية
    • بيانات النشر:
      Public Library of Science (PLoS)
    • الموضوع:
      2014
    • Collection:
      Dipòsit Digital de la Universitat de Barcelona
    • نبذة مختصرة :
      Objective: We used demographic and clinical data to design practical classification models for prediction of neurocognitive impairment (NCI) in people with HIV infection. Methods: The study population comprised 331 HIV-infected patients with available demographic, clinical, and neurocognitive data collected using a comprehensive battery of neuropsychological tests. Classification and regression trees (CART) were developed to obtain detailed and reliable models to predict NCI. Following a practical clinical approach, NCI was considered the main variable for study outcomes, and analyses were performed separately in treatment-naı¨ve and treatment-experienced patients. Results: The study sample comprised 52 treatment-naı¨ve and 279 experienced patients. In the first group, the variables identified as better predictors of NCI were CD4 cell count and age (correct classification [CC]: 79.6%, 3 final nodes). In treatment-experienced patients, the variables most closely related to NCI were years of education, nadir CD4 cell count, central nervous system penetration-effectiveness score, age, employment status, and confounding comorbidities (CC: 82.1%, 7 final nodes). In patients with an undetectable viral load and no comorbidities, we obtained a fairly accurate model in which the main variables were nadir CD4 cell count, current CD4 cell count, time on current treatment, and past highest viral load (CC: 88%, 6 final nodes). Conclusion: Practical classification models to predict NCI in HIV infection can be obtained using demographic and clinical variables. An approach based on CART analyses may facilitate screening for HIV-associated neurocognitive disorders and complement clinical information about risk and protective factors for NCI in HIV-infected patients.
    • File Description:
      7 p.; application/pdf
    • ISSN:
      1932-6203
    • Relation:
      Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0107625; PLoS One, 2014, vol. 9, num. 9, p. e107625; https://doi.org/10.1371/journal.pone.0107625; http://hdl.handle.net/2445/113703; 642958
    • الدخول الالكتروني :
      http://hdl.handle.net/2445/113703
    • Rights:
      cc-by (c) Muñoz Moreno, José et al., 2014 ; http://creativecommons.org/licenses/by/3.0/es ; info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.4DC015A6