Biomaterial Database

Zidovudine response relationships in early human immunodeficiency virus infection. 1993

M Sale, and L B Sheiner, and P Volberding, and T F Blaschke

Division of Clinical Pharmacology, Stanford University School of Medicine, Calif.

OBJECTIVE To examine predictors of magnitude of CD4+ response to treatment of human immunodeficiency virus (HIV) infection with zidovudine. METHODS This was a post hoc analysis of randomized placebo-controlled clinical trial in a multicenter trial, 1423 asymptomatic HIV-positive subjects with CD4+ cell counts less than 500 mm-3 were given 500 mg/day zidovudine, 1500 mg/day zidovudine, or placebo. The main outcome measure was change in the CD4+ cell counts over time. RESULTS This study suggests that earlier treatment with zidovudine results in a larger increment in the CD4+ cell count. In addition, the increment in CD4+ cell count is very long lived. However, drug exposure was not found to be a predictor of response to treatment in the dose range studied. CONCLUSIONS A parametric model of disease progression can be estimated with use of data collected in a conventionally designed study. These parametric models may provide insight into the optimal use of drugs. This model suggests that zidovudine does not change the underlying course of HIV infection but simply delays the time course. The model also suggests that the magnitude of this delay is larger when treatment is begun earlier in the course of the disease.

UI	MeSH Term	Description	Entries
D007958	Leukocyte Count	The number of WHITE BLOOD CELLS per unit volume in venous BLOOD. A differential leukocyte count measures the relative numbers of the different types of white cells.	Blood Cell Count, White,Differential Leukocyte Count,Leukocyte Count, Differential,Leukocyte Number,White Blood Cell Count,Count, Differential Leukocyte,Count, Leukocyte,Counts, Differential Leukocyte,Counts, Leukocyte,Differential Leukocyte Counts,Leukocyte Counts,Leukocyte Counts, Differential,Leukocyte Numbers,Number, Leukocyte,Numbers, Leukocyte
D008954	Models, Biological	Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.	Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D004305	Dose-Response Relationship, Drug	The relationship between the dose of an administered drug and the response of the organism to the drug.	Dose Response Relationship, Drug,Dose-Response Relationships, Drug,Drug Dose-Response Relationship,Drug Dose-Response Relationships,Relationship, Drug Dose-Response,Relationships, Drug Dose-Response
D006679	HIV Seropositivity	Development of neutralizing antibodies in individuals who have been exposed to the human immunodeficiency virus (HIV/HTLV-III/LAV).	AIDS Seroconversion,AIDS Seropositivity,Anti-HIV Positivity,HIV Antibody Positivity,HIV Seroconversion,HTLV-III Seroconversion,HTLV-III Seropositivity,AIDS Seroconversions,AIDS Seropositivities,Anti HIV Positivity,Anti-HIV Positivities,Antibody Positivities, HIV,Antibody Positivity, HIV,HIV Antibody Positivities,HIV Seroconversions,HIV Seropositivities,HTLV III Seroconversion,HTLV III Seropositivity,HTLV-III Seroconversions,HTLV-III Seropositivities,Positivities, Anti-HIV,Positivities, HIV Antibody,Positivity, Anti-HIV,Positivity, HIV Antibody,Seroconversion, AIDS,Seroconversion, HIV,Seroconversion, HTLV-III,Seroconversions, AIDS,Seroconversions, HIV,Seroconversions, HTLV-III,Seropositivities, AIDS,Seropositivities, HIV,Seropositivities, HTLV-III,Seropositivity, AIDS,Seropositivity, HIV,Seropositivity, HTLV-III
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001499	Bayes Theorem	A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.	Bayesian Analysis,Bayesian Estimation,Bayesian Forecast,Bayesian Method,Bayesian Prediction,Analysis, Bayesian,Bayesian Approach,Approach, Bayesian,Approachs, Bayesian,Bayesian Approachs,Estimation, Bayesian,Forecast, Bayesian,Method, Bayesian,Prediction, Bayesian,Theorem, Bayes
D015215	Zidovudine	A dideoxynucleoside compound in which the 3'-hydroxy group on the sugar moiety has been replaced by an azido group. This modification prevents the formation of phosphodiester linkages which are needed for the completion of nucleic acid chains. The compound is a potent inhibitor of HIV replication, acting as a chain-terminator of viral DNA during reverse transcription. It improves immunologic function, partially reverses the HIV-induced neurological dysfunction, and improves certain other clinical abnormalities associated with AIDS. Its principal toxic effect is dose-dependent suppression of bone marrow, resulting in anemia and leukopenia.	AZT (Antiviral),Azidothymidine,3'-Azido-2',3'-Dideoxythymidine,3'-Azido-3'-deoxythymidine,AZT Antiviral,AZT, Antiviral,BW A509U,BWA-509U,Retrovir,3' Azido 2',3' Dideoxythymidine,3' Azido 3' deoxythymidine,Antiviral AZT,BWA 509U,BWA509U
D015496	CD4-Positive T-Lymphocytes	A critical subpopulation of T-lymphocytes involved in the induction of most immunological functions. The HIV virus has selective tropism for the T4 cell which expresses the CD4 phenotypic marker, a receptor for HIV. In fact, the key element in the profound immunosuppression seen in HIV infection is the depletion of this subset of T-lymphocytes.	T4 Cells,T4 Lymphocytes,CD4-Positive Lymphocytes,CD4 Positive T Lymphocytes,CD4-Positive Lymphocyte,CD4-Positive T-Lymphocyte,Lymphocyte, CD4-Positive,Lymphocytes, CD4-Positive,T-Lymphocyte, CD4-Positive,T-Lymphocytes, CD4-Positive,T4 Cell,T4 Lymphocyte