PubMed · 8152700
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
1993. AIDS update.. https://pubmed.ncbi.nlm.nih.gov/8152700/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
To assess the frequency and molecular polymorphism of malignancy-associated latent membrane protein 1 (LMP1) variants in human immunodeficiency virus type 1 (HIV-1) infection, 94 B-lymphoblastoid cell lines spontaneously derived from peripheral blood mononuclear cells (PBMC) and 30 PBMC samples at seroconversion and later (mean, 55 months) were analyzed by longitudinal comparative sequence analysis in 8 patients progressing to non-Hodgkin's lymphoma (AIDS-NHL), 7 patients to opportunistic infections, and 2 patients with long-term asymptomatic HIV-1 infection. The sequence polymorphism in the C-terminus of LMP1 was characteristic for strains harbored by individual patients, with high fidelity for strain identification. In 14 of the 17 patients, two different but characteristic LMP1 variants were identified. At HIV seroconversion in 8 of 15 patients, a 30-bp deletion (LMP1Delta) was present. Though serial analysis revealed a shift to LMP1Delta in some individuals, statistical analysis of the cohort does not support the hypothesis that accumulation of LMP1Delta variants in PBMC accounts for their observed high incidence in AIDS-NHL.
BACKGROUND: In Southeast Asia, disseminated infection with Penicillium marneffei is common among patients with human immunodeficiency virus (HIV) infection. Even after successful primary treatment, the relapse rate for this potentially fatal systemic fungal infection is about 50 percent. METHODS: We conducted a double-blind trial in Thailand to evaluate itraconazole as secondary prophylaxis against P. marneffei infection in patients with the acquired immunodeficiency syndrome (AIDS) who were in complete remission after treatment for culture-proved P. marneffei infection. The patients were randomly assigned to receive either oral itraconazole (200 mg daily) or placebo as maintenance therapy. RESULTS: Of the 72 HIV-infected patients who completed initial treatment for P. marneffei infection, 71 were enrolled in the maintenance study. None of the 36 patients assigned to itraconazole had a relapse of P. marneffei infection within one year, whereas 20 of the 35 patients assigned to placebo (57 percent) had relapses (P<0.001). Among the 20 patients who had relapses, P. marneffei was cultured from blood (15 patients), lymph-node tissue (3 patients), skin (3 patients), and sputum (1 patient). The median time to relapse was 24 weeks after the completion of the initial treatment (95 percent confidence interval, 19.0 to 36.1). Survival and toxic effects were similar in the two groups. CONCLUSIONS: In patients infected with HIV who have completed successful primary treatment of P. marneffei infection, secondary prophylaxis with oral itraconazole is well tolerated and prevents relapses of this opportunistic infection.
In this paper, the authors present an evaluation algorithm for systematic assessment of the observed heterogeneity in disease risk within trial populations. Predictive models are used to estimate the predicted patient hazards, the odds of having an event in the upper risk quartile (ODU) and the lower risk quartile (ODL), and the odds ratio (rate ratio for time-to-event analyses) for having an event in the upper risk quartile versus the lower risk quartile (extreme quartile odds ratio (EQuOR) and extreme quartile rate ratio (EQuRR)). The ranges for these metrics depend on the extent to which predictors of the outcome of interest exist and are known and the extent to which data are collected in the trial, as well as on the eligibility criteria and the specific patients who are actually enrolled. ODU, ODL, and EQuOR values are used to systematically interpret the results for patients at different levels of risk, to evaluate generalizability, and to determine the need for subgroup analyses. Individual data for five outcomes from three trials (n = 842, 913, and 1,001, respectively) are used as examples. Observed EQuOR values ranged from 1.5 (very little predicted heterogeneity) to 59 (large heterogeneity). EQuRR values ranged from 2 to 46. ODU values ranged from 0.24 to 3.19 (generally high risk), and ODL values ranged from 0.01 (clinically negligible risk) to 0.16 (clinically meaningful risk). The algorithm may also be used for comparing diverse trials (e.g., in meta-analyses) and used prospectively for designing future trials, as shown in simulations.