DESIGN: Prospective cohort study.
METHODS: MSM and TGW aged at least 18 years, were enrolled from Indonesia, Malaysia, and Thailand, then followed up 6-monthly for 12 months. Anal swabs were collected at every visit for HR-HPV genotypes to define anal HR-HPV incidence, clearance, and persistence. Logistic regression was used to evaluate factors associated with HR-HPV persistence.
RESULTS: Three hundred and twenty-five MSM and TGW were included in this study, of whom 72.3% were HIV-positive. The incidence of anal HR-HPV persistence was higher in HIV-positive than HIV-negative MSM participants (28.4/1000 vs. 13.9/1000 person-months). HIV-positive participants had HR-HPV lower clearance rate than HIV-negative participants (OR 0.3; 95% CI 0.1-0.7). The overall persistence of HR-HPV was 39.9% in HIV-positive and 22.8% HIV-negative participants. HPV-16 was the most persistent HR-HPV in both HIV-positive and HIV-negative participants. HIV infection (aOR 2.87; 95% CI 1.47-5.61), living in Kuala Lumpur (aOR 4.99; 95% CI 2.22-11.19) and Bali (aOR 3.39; 95% CI 1.07-10.75), being employed/freelance (aOR 3.99; 95% CI 1.48-10.77), and not being circumcised (aOR 2.29; 95% CI 1.07-4.88) were independently associated with anal HR-HPV persistence.
CONCLUSION: HIV-positive MSM and TGW had higher risk of persistent anal HR-HPV infection. Prevention program should be made available and prioritized for HIV-positive MSM and TGW where resources are limited.
METHODS: HIV-infected adults enrolled in the TREAT Asia HIV Observational Database were eligible if they had an HIV RNA measurement documented at the time of ART initiation. The dataset was randomly split into a derivation data set (75% of patients) and a validation data set (25%). Factors associated with pre-treatment HIV RNA <100,000 copies/mL were evaluated by logistic regression adjusted for study site. A prediction model and prediction scores were created.
RESULTS: A total of 2592 patients were enrolled for the analysis. Median [interquartile range (IQR)] age was 35.8 (29.9-42.5) years; CD4 count was 147 (50-248) cells/mm3; and pre-treatment HIV RNA was 100,000 (34,045-301,075) copies/mL. Factors associated with pre-treatment HIV RNA <100,000 copies/mL were age <30 years [OR 1.40 vs. 41-50 years; 95% confidence interval (CI) 1.10-1.80, p = 0.01], body mass index >30 kg/m2(OR 2.4 vs. <18.5 kg/m2; 95% CI 1.1-5.1, p = 0.02), anemia (OR 1.70; 95% CI 1.40-2.10, p 350 cells/mm3(OR 3.9 vs. <100 cells/mm3; 95% CI 2.0-4.1, p 2000 cells/mm3(OR 1.7 vs. <1000 cells/mm3; 95% CI 1.3-2.3, p 25 yielded the sensitivity of 46.7%, specificity of 79.1%, positive predictive value of 67.7%, and negative predictive value of 61.2% for prediction of pre-treatment HIV RNA <100,000 copies/mL among derivation patients.
CONCLUSION: A model prediction for pre-treatment HIV RNA <100,000 copies/mL produced an area under the ROC curve of 0.70. A larger sample size for prediction model development as well as for model validation is warranted.
METHODS: The mid-stream urine was collected from 96 patients diagnosed with dengue fever at Penang General Hospital (PGH) and 50 healthy volunteers. Urine samples were analyzed with proton nuclear magnetic resonance (1H NMR) spectroscopy, followed by chemometric multivariate analysis. NMR signals highlighted in the orthogonal partial least square-discriminant analysis (OPLS-DA) S-plots were selected and identified using Human Metabolome Database (HMDB) and Chenomx Profiler. A highly predictive model was constructed from urine profile of dengue infected patients versus healthy individuals with the total R2Y (cum) value 0.935, and the total Q2Y (cum) value 0.832.
RESULTS: Data showed that dengue infection is related to amino acid metabolism, tricarboxylic acid intermediates cycle and β-oxidation of fatty acids. Distinct variations in certain metabolites were recorded in infected patients including amino acids, various organic acids, betaine, valerylglycine, myo-inositol and glycine.
CONCLUSION: Metabolomics approach provides essential insight into host metabolic disturbances following dengue infection.