Malignancies in HIV/AIDS patients attending an outpatient clinic in Vitória, State of Espírito Santo, Brazil

INTRODUCTION: The present study investigated cancer prevalence and associated factors among HIV-infected individuals attending an AIDS outpatient clinic in Vitória, State of Espírito Santo, Brazil. METHODS: A sectional study was conducted among HIV infected adults attending an AIDS outpatient clinic in Vitória, State of Espírito Santo, Brazil. Demographic, epidemiological and clinical data were abstracted from medical records, including cancer diagnoses; nadir and current CD4 cell count, HIV viral load, time on antiretroviral treatment (ART), type of ART and smoking status. RESULTS: A total of 730 (91.3%) patients were included in the study. Median age was 44.0 [interquartile range (IQR): 35-50.3] years; median time since HIV diagnosis was 5.5 years (IQR: 2-10); 60% were male; and 59% were white. Thirty (4.1%) cases of cancer were identified of which 16 (53%) were AIDS defining cancers and 14 (47%) were non-AIDS defining malignancies. Patients diagnosed with cancer presented higher chance of being tobacco users [OR 2.2 (95% CI: 1.04-6.24)]; having nadir CD4 ≤200 cells/mm³ [OR 3.0 (95% CI: 1.19-7.81)] and higher lethality [OR 13,3 (95% CI: 4,57-38,72)]. CONCLUSIONS: These results corroborate the importance of screening for and prevention of non-AIDS defining cancers focus in HIV-infected population, as these cancers presented with similar frequency as AIDS defining cancers.

Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling

Forest regrowth occupies an extensive and increasing area in the Amazon basin, but accurate assessment of the impact of regrowth on carbon and nutrient cycles has been hampered by a paucity of available allometric equations. We develop pooled and species-specific equations for total aboveground biomass for a study site in the eastern Amazon that had been abandoned for 15 years. Field work was conducted using randomized branch sampling, a rapid technique that has seen little use in tropical forests. High consistency of sample paths in randomized branch sampling, as measured by the standard error of individual paths (14%), suggests the method may provide substantial efficiencies when compared to traditional procedures. The best fitting equations in this study used the traditional form Y=a×DBHb, where Y is biomass, DBH is diameter at breast height, and a and b are both species-specific parameters. Species-specific equations of the form Y=a(BA×H), where Y is biomass, BA is tree basal area, H is tree height, and a is a species-specific parameter, fit almost as well. Comparison with previously published equations indicated errors from -33% to +29% would have occurred using off-site relationships. We also present equations for stemwood, twigs, and foliage as biomass components.