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Nonadherence to highly active antiretroviral therapy: clinically relevant patient categorization based on electronic event monitoring
- Source :
- AIDS research and human retroviruses. 18(5)
- Publication Year :
- 2002
-
Abstract
- Adherence to highly active antiretroviral therapy (HAART) is crucial, but which aspects of drug-taking behavior are important remain largely unknown. In a prospective observational study, 43 HIV-1-infected patients taking HAART underwent electronic event monitoring (EEM). Taking adherence was defined as the percentage of doses taken compared with the number prescribed, dosing adherence was defined as the percentage of days on which all doses were taken, and timing adherence was defined as the percentage of doses taken within 1 hr of the time prescribed. Drug holidays were defined as periods of no drug intake for24 hr. Cluster analysis, including the four EEM parameters, was used and refined to construct an algorithm to discriminate patients. Patients were categorized as nonadherent if they had a taking adherence of90%, or a dosing adherence of75% and at least 1 drug holiday, or a timing adherence of80% and at least 1 drug holiday, or6 drug holidays per 100 days. All four EEM parameters differed significantly (p0.0001) between the two groups. Adherent patients had a better outcome, as shown by a larger drop in viral load (p = 0.011) and rise in CD4+ cell count (p = 0.035), showing that the algorithm-based categorization is clinically relevant.
- Subjects :
- Adult
Male
medicine.medical_specialty
Time Factors
Immunology
Population
HIV Infections
Treatment Refusal
Acquired immunodeficiency syndrome (AIDS)
Virology
Internal medicine
Antiretroviral Therapy, Highly Active
medicine
Cluster Analysis
Humans
Dosing
Prospective Studies
Prospective cohort study
education
Sida
education.field_of_study
biology
business.industry
Drug holiday
Middle Aged
Viral Load
biology.organism_classification
medicine.disease
CD4 Lymphocyte Count
Infectious Diseases
Treatment Outcome
HIV-1
RNA, Viral
Observational study
Female
Electronics
business
Viral load
Algorithms
Subjects
Details
- ISSN :
- 08892229
- Volume :
- 18
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- AIDS research and human retroviruses
- Accession number :
- edsair.doi.dedup.....1ed8e64d2d24d1d62da9c7465bf24da5