Understanding the statistical analysis of resistance data
- PMID: 21249772
- Bookshelf ID: NBK2247
Understanding the statistical analysis of resistance data
Excerpt
Phenotypic resistance data are a continuous statistical variable that indicate the concentration of drug needed to inhibit the replication of a patient's virus. Typically, this is measured by specifying the concentration of drug needed to inhibit 50% or 90% of virus replication (IC50 or IC90, respectively), or by comparing the fold change in drug concentration required to inhibit the replication of the patient's virus compared with a sensitive virus isolate. In contrast, genotypic resistance data are typically a series of binary variables documenting the presence of specific mutations in the amino acid sequences of the HIV-1 genome in the reverse transcriptase (RT) or protease (PR) regions (e.g. yes/no variables for resistance mutations 41L, 65R, 67N and 184V). This chapter focuses on the statistical analysis of the genotypic resistance data that are generated from routine clinical care.
Copyright © 2006, Mediscript.
Sections
- Introduction: nature of the data
- Data managing: the choice of reference HIV-1 strain
- Common assumptions: the importance of basic knowledge of HIV-1 virology
- Programming interpretation rules and choice of a suitable virological endpoint
- Possibility of spurious associations
- Recommendations for clinical practice
- References
References
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- Los Alamos National Laboratory HIV Databases. http://hiv-web.lanl.gov/content/index (accessed on 22 November 2005).
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- Costagliola D, Cozzi-Lepri A, Dalban C, Chang B. on behalf of the Standardisation and Clinical Relevance of HIV Drug Resistance. Project from the Forum for Collaborative HIV Research. Antivir Ther. 2005;10:S11.
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- HIV Resistance Response Database Initiative. http://www.hivrdi.org/ (accessed on 22 November 2005).
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- Phillips AN, Dunn D, Sabin C. UK Collaborative Group on HIV Drug Resistance; UK CHIC Study Group et al. Long term probability of detection of HIV-1 drug resistance after starting antiretroviral therapy in routine clinical practice. AIDS. 2005;19:487–494. - PubMed
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