Displaying publications 41 - 44 of 44 in total

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  1. Jiamsakul A, Azwa I, Zhang F, Yunihastuti E, Ditangco R, Kumarasamy N, et al.
    Antivir Ther, 2020;25(7):377-387.
    PMID: 33843656 DOI: 10.3851/IMP3388
    BACKGROUND: The World Health Organization recommends continuation with the failing second-line regimen if third-line option is not available. We investigated treatment outcomes among people living with HIV in Asia who continued with failing second-line regimens compared with those who had treatment modifications after failure.

    METHODS: Treatment modification was defined as a change of two antiretrovirals, a drug class change or treatment interruption (TI), all for >14 days. We assessed factors associated with CD4 changes and undetectable viral load (UVL <1,000 copies/ml) at 1 year after second-line failure using linear and logistic regression, respectively. Survival time was analysed using competing risk regression.

    RESULTS: Of the 328 patients who failed second-line ART in our cohorts, 208 (63%) had a subsequent treatment modification. Compared with those who continued the failing regimen, the average CD4 cell increase was higher in patients who had a modification without TI (difference =77.5, 95% CI 35.3, 119.7) while no difference was observed among those with TI (difference =-5.3, 95% CI -67.3, 56.8). Compared with those who continued the failing regimen, the odds of achieving UVL was lower in patients with TI (OR=0.18, 95% CI 0.06, 0.60) and similar among those who had a modification without TI (OR=1.97, 95% CI 0.95, 4.10), with proportions of UVL 60%, 22% and 75%, respectively. Survival time was not affected by treatment modifications.

    CONCLUSIONS: CD4 cell improvements were observed in those who had treatment modification without TI compared with those on the failing regimen. When no other options are available, maintaining the same failing ART combination provided better VL control than interrupting treatment.

  2. Kiertiburanakul S, Boettiger D, Ng OT, Van Kinh N, Merati TP, Avihingsanon A, et al.
    AIDS Res Ther, 2017;14:27.
    PMID: 28484509 DOI: 10.1186/s12981-017-0151-1
    BACKGROUND: Abacavir and rilpivirine are alternative antiretroviral drugs for treatment-naïve HIV-infected patients. However, both drugs are only recommended for the patients who have pre-treatment HIV RNA <100,000 copies/mL. In resource-limited settings, pre-treatment HIV RNA is not routinely performed and not widely available. The aims of this study are to determine factors associated with pre-treatment HIV RNA <100,000 copies/mL and to construct a model to predict this outcome.

    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.

  3. Jeong SJ, Italiano C, Chaiwarith R, Ng OT, Vanar S, Jiamsakul A, et al.
    AIDS Res Hum Retroviruses, 2016 Mar;32(3):255-61.
    PMID: 26414065 DOI: 10.1089/AID.2015.0058
    Many HIV-infected individuals do not enter health care until late in the infection course. Despite encouraging earlier testing, this situation has continued for several years. We investigated the prevalence of late presenters and factors associated with late presentation among HIV-infected patients in an Asian regional cohort. This cohort study included HIV-infected patients with their first positive HIV test during 2003-2012 and CD4 count and clinical status data within 3 months of that test. Factors associated with late presentation into care (CD4 count <200 cells/μl or an AIDS-defining event within ±3 months of first positive HIV test) were analyzed in a random effects logistic regression model. Among 3,744 patients, 2,681 (72%) were late presenters. In the multivariable model, older patients were more likely to be late presenters than younger (≤30 years) patients [31-40, 41-50, and ≥51 years: odds ratio (OR) = 1.57, 95% confidence interval (CI) 1.31-1.88; OR = 2.01, 95% CI 1.58-2.56; and OR = 1.69, 95% CI 1.23-2.31, respectively; all p ≤ 0.001]. Injecting drug users (IDU) were more likely (OR = 2.15, 95% CI 1.42-3.27, p < 0.001) and those with homosexual HIV exposure were less likely (OR = 0.45, 95% CI 0.35-0.58, p < 0.001) to be late presenters compared to those with heterosexual HIV exposure. Females were less likely to be late presenters (OR = 0.44, 95% CI 0.36-0.53, p < 0.001). The year of first positive HIV test was not associated with late presentation. Efforts to reduce the patients who first seek HIV care at the late stage are needed. The identified risk factors associated with late presentation should be utilized in formulating targeted public health intervention to improve earlier entry into HIV care.
  4. Jiamsakul A, Kerr SJ, Kiertiburanakul S, Azwa I, Zhang F, Chaiwarith R, et al.
    AIDS Care, 2018 12;30(12):1560-1566.
    PMID: 30021450 DOI: 10.1080/09540121.2018.1499859
    Missed clinic visits can lead to poorer treatment outcomes in HIV-infected patients. Suboptimal antiretroviral therapy (ART) adherence has been linked to subsequent missed visits. Knowing the determinants of missed visits in Asian patients will allow for appropriate counselling and intervention strategies to ensure continuous engagement in care. A missed visit was defined as having no assessments within six months. Repeated measures logistic regression was used to analyse factors associated with missed visits. A total of 7100 patients were included from 12 countries in Asia with 2676 (37.7%) having at least one missed visit. Patients with early suboptimal self-reported adherence <95% were more likely to have a missed visit compared to those with adherence ≥95% (OR = 2.55, 95% CI(1.81-3.61)). Other factors associated with having a missed visit were homosexual (OR = 1.45, 95%CI(1.27-1.66)) and other modes of HIV exposure (OR = 1.48, 95%CI(1.27-1.74)) compared to heterosexual exposure; using PI-based (OR = 1.33, 95%CI(1.15-1.53) and other ART combinations (OR = 1.79, 95%CI(1.39-2.32)) compared to NRTI+NNRTI combinations; and being hepatitis C co-infected (OR = 1.27, 95%CI(1.06-1.52)). Patients aged >30 years (31-40 years OR = 0.81, 95%CI(0.73-0.89); 41-50 years OR = 0.73, 95%CI(0.64-0.83); and >50 years OR = 0.77, 95%CI(0.64-0.93)); female sex (OR = 0.81, 95%CI(0.72-0.90)); and being from upper middle (OR = 0.78, 95%CI(0.70-0.80)) or high-income countries (OR = 0.42, 95%CI(0.35-0.51)), were less likely to have missed visits. Almost 40% of our patients had a missed clinic visit. Early ART adherence was an indicator of subsequent clinic visits. Intensive counselling and adherence support should be provided at ART initiation in order to optimise long-term clinic attendance and maximise treatment outcomes.
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