Laboratory and Clinical Predictors of Disease Progression following Initiation of Combination Therapy in HIV-Infected Adults in Thailand

Background: Data on determinants of long-term disease progression in HIV-infected patients on antiretroviral therapy (ART) are limited in low and middle-income settings. Methods: Effects of current CD4 count, viral load and haemoglobin and diagnosis of AIDS-defining events (ADEs) after start of combination ART (cART) on death and new ADEs were assessed using Poisson regression, in patient aged ≥18 years within a multi-centre cohort in Thailand. Results: Among 1,572 patients, median follow-up from cART initiation was 4.4 (IQR 3.6–6.3) years. The analysis of death was based on 60 events during 6,573 person-years; 30/50 (60%) deaths with underlying cause ascertained were attributable to infections. Analysis of new ADE included 192 events during 5,865 person-years; TB and Pneumocystis jiroveci pneumonia were the most commonly presented first new ADE (35% and 20% of cases, respectively). In multivariable analyses, low current CD4 count after starting cART was the strongest predictor of death and of new ADE. Even at CD4 above 200 cells/mm3, survival improved steadily with CD4, with mortality rare at ≥500 cells/mm3 (rate 1.1 per 1,000 person-years). Haemoglobin had a strong independent effect, while viral load was weakly predictive with poorer prognosis only observed at ≥100,000 copies/ml. Mortality risk increased following diagnosis of ADEs during cART. The decline in mortality rate with duration on cART (from 21.3 per 1,000 person-years within first 6 months to 4.7 per 1,000 person-years at ≥36 months) was accounted for by current CD4 count. Conclusions: Patients with low CD4 count or haemoglobin require more intensive diagnostic and treatment of underlying causes. Maintaining CD4≥500 cells/mm3 minimizes mortality. However, patient monitoring could potentially be relaxed at high CD4 count if resources are limited. Optimal ART monitoring strategies in low-income settings remain a research priority. Better understanding of the aetiology of anaemia in patients on ART could guide prevention and treatment

Resistance Patterns Selected by Nevirapine vs. Efavirenz in HIV-Infected Patients Failing First-Line Antiretroviral Treatment: A Bayesian Analysis

Background: WHO recommends starting therapy with a non-nucleoside reverse transcriptase inhibitor (NNRTI) and two nucleoside reverse transcriptase inhibitors (NRTIs), i.e. nevirapine or efavirenz, with lamivudine or emtricitabine, plus zidovudine or tenofovir. Few studies have compared resistance patterns induced by efavirenz and nevirapine in patients infected with the CRF01_AE Southeast Asian HIV-subtype. We compared patterns of NNRTI-and NRTI-associated mutations in Thai adults failing first-line nevirapine-and efavirenz-based combinations, using Bayesian statistics to optimize use of data. Methods and Findings: In a treatment cohort of HIV-infected adults on NNRTI-based regimens, 119 experienced virologic failure (<500 copies/mL), with resistance mutations detected by consensus sequencing. Mutations were analyzed in relation to demographic, clinical, and laboratory variables at time of genotyping. The Geno2Pheno system was used to evaluate second-line drug options. Eighty-nine subjects were on nevirapine and 30 on efavirenz. The NRTI backbone consisted of lamivudine or emtricitabine plus either zidovudine (37), stavudine (65), or tenofovir (19). The K103N mutation was detected in 83% of patients on efavirenz vs. 28% on nevirapine, whereas Y181C was detected in 56% on nevirapine vs. 20% efavirenz. M184V was more common with nevirapine (87%) than efavirenz (63%). Nevirapine favored TAM-2 resistance pathways whereas efavirenz selected both TAM-2 and TAM-1 pathways. Emergence of TAM-2 mutations increased with the duration of virologic replication (OR 1.25-1.87 per month increment). In zidovudine-containing regimens, the overall risk of resistance across all drugs was lower with nevirapine than with efavirenz, whereas in tenofovir-containing regimen the opposite was true. Conclusions: TAM-2 was the major NRTI resistance pathway for CRF01_ AE, particularly with nevirapine; it appeared late after virological failure. In patients who failed, there appeared to be more second-line drug options when zidovudine was combined with nevirapine or tenofovir with efavirenz than with alternative combinations

The Impact of Combination Antiretroviral Therapy and its Interruption on Anxiety, Stress, Depression and Quality of Life in Thai Patients

OBJECTIVE: Investigation on anxiety, stress, depression, and quality of life (QoL) within STACCATO, a randomised trial of two treatment strategies: CD4 guided scheduled treatment interruption (STI) compared to continuous treatment (CT). PARTICIPANTS: Thai patients with HIV-infection enrolled in the STACCATO trial. METHODS: Anxiety, depression assessed by the questionnaires Hospital Anxiety and Depression Scale (HADS) and DASS, stress assessed by the Depression Anxiety Stress Scale (DASS), and QoL evaluated by the HIV Medical Outcome Study (MOS-HIV) questionnaires. Answers to questionnaires were evaluated at 4 time-points: baseline, 24 weeks, 48 weeks and at the end of STACCATO. RESULTS: A total of 251 patients answered the HADS/DASS and 241 answered the MOS-HIV of the 379 Thai patients enrolled into STACCATO (66.2 and 63.6% respectively). At baseline 16.3% and 7.2% of patients reported anxiety and depression using HADS scale. Using the DASS scale, 35.1% reported mild to moderate and 9.6% reported severe anxiety; 8.8% reported mild to moderate and 2.0% reported severe depression; 42.6% reported mild to moderate and 4.8% reported severe stress. We showed a significant improvement of the MHS across time (p=0.001), but no difference between arms (p=0.17). The summarized physical health status score (PHS) did not change during the trial (p=0.15) nor between arm (p=0.45). There was no change of MHS or PHS in the STI arm, taking into account the number of STI cycle (p=0.30 and 0.57) but MHS significant increased across time-points (p=0.007). CONCLUSION: Antiretroviral therapy improved mental health and QOL, irrespective of the treatment strategy

Laboratory and Clinical Predictors of Disease Progression following Initiation of Combination Therapy in HIV-Infected Adults in Thailand

Background Data on determinants of long-term disease progression in HIV-infected patients on antiretroviral therapy (ART) are limited in low and middle-income settings. Methods Effects of current CD4 count, viral load and haemoglobin and diagnosis of AIDS-defining events (ADEs) after start of combination ART (cART) on death and new ADEs were assessed using Poisson regression, in patient aged ≥18 years within a multi-centre cohort in Thailand. Results Among 1,572 patients, median follow-up from cART initiation was 4.4 (IQR 3.6–6.3) years. The analysis of death was based on 60 events during 6,573 person-years; 30/50 (60%) deaths with underlying cause ascertained were attributable to infections. Analysis of new ADE included 192 events during 5,865 person-years; TB and Pneumocystis jiroveci pneumonia were the most commonly presented first new ADE (35% and 20% of cases, respectively). In multivariable analyses, low current CD4 count after starting cART was the strongest predictor of death and of new ADE. Even at CD4 above 200 cells/mm3, survival improved steadily with CD4, with mortality rare at ≥500 cells/mm3 (rate 1.1 per 1,000 person-years). Haemoglobin had a strong independent effect, while viral load was weakly predictive with poorer prognosis only observed at ≥100,000 copies/ml. Mortality risk increased following diagnosis of ADEs during cART. The decline in mortality rate with duration on cART (from 21.3 per 1,000 person-years within first 6 months to 4.7 per 1,000 person-years at ≥36 months) was accounted for by current CD4 count. Conclusions Patients with low CD4 count or haemoglobin require more intensive diagnostic and treatment of underlying causes. Maintaining CD4≥500 cells/mm3 minimizes mortality. However, patient monitoring could potentially be relaxed at high CD4 count if resources are limited. Optimal ART monitoring strategies in low-income settings remain a research priority. Better understanding of the aetiology of anaemia in patients on ART could guide prevention and treatment

Predictive effects of factors after cART initiation on progression to death and to new ADE.

<p>cART, combination antiretroviral therapy; ADE, AIDS-defining event; py, person-years; CI, confidence interval.</p>a<p>Effects were estimated adjusted for <i>a priori</i> confounders, time since cART initiation, and current CD4 count, viral load and haemoglobin. Current CD4 count and haemoglobin, and CD4 count, viral load and haemoglobin at cART initiation were analysed as continuous variables.</p>b<p>To present the estimated effect of CD4 count (fitted square root transformed) and current haemoglobin (fitted with additional cubic spline term), we derived from the fitted model the rate at the marker value at which 50% of person-years of follow-up falls above and below within each strata, and then calculated the corresponding rate ratios.</p>c<p>Based on patients without prior AIDS diagnosis before cART initiation. Only 1 patient was diagnosed with a severe ADE after starting cART, who had progressive multifocal leukoencephalopathy.</p

Patients’ characteristics at cART initiation (N = 1572).

<p>cART, combination antiretroviral therapy; HBV, hepatitis B virus; HCV, hepatitis C virus; PMTCT, prevent of mother-to-child transmission; ADE, AIDS-defining event; NNRTI, non-nucleoside reverse transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; PI, protease inhibitor; IQR, inter-quartile range.</p>a<p>Percentage based on total with data available. Number with missing data: sex (1), HCV status (269), CD4 count (32), HIV-1 RNA (137), haemoglobin (59).</p>b<p>ADEs were defined as either mild or moderate/severe based on prognostic categories proposed by Mocroft et al <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0043375#pone.0043375-Mocroft2" target="_blank">[26]</a>. Note only 2 patients were previously diagnosed with a severe ADE.</p>c<p>The 46 patients starting with regimens containing NNRTI+PI were all previously on dual therapy.</p

Distribution of CD4 count (A), viral load (B) and haemoglobin (C) over time from initiation of cART.

<p>The closest measurement to each nominal time points within a±3 months window was selected for each patient.</p

Distribution of most recent CD4 count (A), viral load (B) and haemoglobin (C) measurement at time of death, by cause of death.

<p>Based measurements within the last 9 months before date of death. Number of cases by cause of death: 10 TB, 20 other infections, 20 not related to infection and 10 not known.</p

Predictive effects of factors at cART initiation on progression to death and to new ADE, adjusted for current CD4 count, haemoglobin and viral load.

<p>cART, combination antiretroviral therapy; ADE, AIDS-defining event; py, person-years; CI, confidence interval.</p>a<p>Effects were estimated adjusted for <i>a priori</i> confounders, time since cART initiation, and current CD4 count, viral load and haemoglobin.</p