Validation of an algorithm to identify antiretroviral-naïve status at time of entry into a large, observational cohort of HIV-infected patients

Author:

Gandhi Neel R.12,Tate Janet P.3,Rodriguez-Barradas Maria C.4,Rimland David5,Goetz Matthew Bidwell6,Gibert Cynthia7,Brown Sheldon T.8,Mattocks Kristin9,Justice Amy C.3

Affiliation:

1. Division of General Internal Medicine; Albert Einstein College of Medicine and Montefiore Medical Center; Bronx NY USA

2. Departments of Epidemiology, Global Health, and Infectious Diseases, Rollins School of Public Health; Emory University; Atlanta GA USA

3. Section of General Internal Medicine, Department of Medicine; Yale University School of Medicine and VA Connecticut Healthcare System; New Haven CT USA

4. Infectious Disease Section and Department of Medicine; Michael E. DeBakey VA Medical Center and Baylor College of Medicine; Houston TX USA

5. Infectious Diseases Section, Department of Medicine; Emory University School of Medicine and Atlanta VA Medical Center; Atlanta GA USA

6. Section of Infectious Diseases; VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA; Los Angeles CA USA

7. Section of Infectious Diseases; Washington DC VA Medical Center and George Washington University Medical Center; Washington District of Columbia USA

8. Infectious Disease Section, Department of Medicine; James J. Peters VA Medical Center and Mt. Sinai School of Medicine; New York NY USA

9. Quantitative Health Sciences and Psychiatry; VA Central Western Massachusetts Health Care System, Leeds, MA and University of Massachusetts Medical Center; Worcester MA USA

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

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