Survival Trend of HIV/AIDS Patients Starting Antiretroviral Therapy in South Korea between 2001 and 2015

Smoothed quantile residual life regression analysis with application to the Korea HIV/AIDS cohort study

BACKGROUND

The residual life of a patient with human immunodeficiency virus (HIV) is of major interest to patients and their physicians. While existing analyses of HIV patient survival focus mostly on data collected at baseline, residual life analysis allows for dynamic analysis based on additional data collected over a period of time. As survival times typically exhibit a right-skewed distribution, the median provides a more useful summary of the underlying distribution than the mean. In this paper, we propose an efficient inference procedure that fits a semiparametric quantile regression model assessing the effect of longitudinal biomarkers on the residual life of HIV patients until the development of dyslipidemia, a disease becoming more prevalent among those with HIV.

METHODS

For estimation of model parameters, we propose an induced smoothing method that smooths nonsmooth estimating functions based on check functions. For variance estimation, we propose an efficient resampling-based estimator. The proposed estimators are theoretically justified. Simulation studies are used to evaluate their finite sample performances, including their prediction accuracy. We analyze the Korea HIV/AIDS cohort study data to examine the effects of CD4 (cluster of differentiation 4) cell count on the residual life of HIV patients to the onset of dyslipidemia.

RESULTS

The proposed estimator is shown to be consistent and normally distributed asymptotically. Under various simulation settings, our estimates are approximately unbiased. Their variances estimates are close to the empirical variances and their computational efficiency is superior to that of the nonsmooth counterparts. Two measures of prediction performance indicate that our method adequately reflects the dynamic character of longitudinal biomarkers and residual life. The analysis of the Korea HIV/AIDS cohort study data shows that CD4 cell count is positively associated with residual life to the onset of dyslipidemia but the effect is not statistically significant.

CONCLUSIONS

Our method enables direct prediction of residual lifetimes with a dynamic feature that accommodates data accumulated at different times. Our estimator significantly improves computational efficiency in variance estimation compared to the existing nonsmooth estimator. Analysis of the HIV/AIDS cohort study data reveals dynamic effects of CD4 cell count on the residual life to the onset of dyslipidemia.

Survival times of HIV/AIDS in different AIDS Diagnostic and Treatment Guidelines from 2006 to 2020 in Liuzhou, China

BACKGROUND

To compare the survival rates of four timing of treatment initiation for people living with HIV/AIDS provided in China in 2006, 2011, 2015, and 2018, and to investigate the factors impacting survival time.

METHODS

A people living with HIV/AIDS retrospective cohort study was in Liuzhou City from April 2006 to December 2020. The information was obtained from the National Comprehensive AIDS Prevention and Control Information System. Life tables and the Kaplan-Meier method were used to calculate participant survival rates and time. The univariate and multivariate Cox regression models were used to investigate the factors related to survival.

RESULTS

18,543 participants were included in this study. In four periods, the 1-year survival rates were 81%, 87%, 95%, and 95%. The 2-year survival rates were 76%, 85%, 93%, and 94%. The 3-year survival rates were 73%, 84%, 92%, and 94%. Results of multivariate Cox regression showed that sex, age of HIV diagnosis, ethnicity, household registration, occupation, marital status, the timing of treatment, education level, route of HIV transmission, whether receiving antiretroviral therapy (ART), and the count of CD4+T cells at baseline (count of CD4+T cells at HIV diagnosis) were factors that are significantly correlated with mortality caused by HIV infection.

CONCLUSIONS

With the Guidelines updated from 2006 to 2020, the 1-, 2-, and 3-year survival rates of people living with HIV/AIDS in four periods tended to increase. The timing of treatment initiation of the updated edition of the AIDS Diagnostic and Treatment Guidelines (Guidelines) significantly prolonged the survival time of people living with HIV/AIDS.

Factors associated with survival in adult people living with HIV/AIDS (PLHAs) in Mumbai, India (2004-2019): A retrospective cohort study

Background:

Knowledge of factors that affect survival in People living with HIV/AIDS (PLHAs) on anti-retroviral therapy (ART) will help us develop and implement interventions to improve the clinical outcomes and survival in these individuals. The aim of this study was to estimate the survival in PLHAs on ART in the government ART programme in Mumbai, and the factors associated with survival in these individuals.

Methods:

It is a retrospective survival analysis of 28,345 adult PLHAs from 18 government ART centres in Mumbai (registration period 2004–2019). We estimated the mortality rates and their 95% confidence intervals [CIs], plotted the Kaplan Meier Survival curves, estimated incidence rate ratios (IRR) and hazard ratios (HR). There were done for the whole cohort and according to various demographic and clinical characteristics.

Results:

The mortality in PLHAs on ART was 9.04 per 1000 person years. The HR was significantly for those aged 50 years and more at the time of registration (HR: 3.01, 95% CI: 2.37, 3.83; P < 0.001), in those with baseline CD4 count of less than 200 higher hazard (HR: 1.83, 95% CI: 1.47, 2.27; P < 0.001), those with an adherence of 80–95% (HR; 5.58, 95% CI: 4.61, 6.75; P < 0.001) and adherence of <80% (HR: 9.37, 95% CI: 7.74, 11.33; P < 0.001). Furthermore, the hazard was significantly higher in those with TB compared those without TB (HR: 3.28, 95% CI: 2.87, 3.75; P < 0.001). Time from diagnosis (per month increase) to initiation of ART was not significantly associated with mortality.

Conclusions:

Increasing awareness about HIV testing and early detection of HIV in those who have high-risk behaviours, prompt diagnosis and management of TB among those infected, and developing and implementing strategies (such as enhanced counselling, telephone-based applications, messages, or reminders) to ensure ART adherence of more than 95% in those on ART will potentially help improve survival in PLHAs in India.