Late HIV treatment increases risk of death three-fold in Uganda

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Starting ART at CD4 cell counts below 50 cells/mm3 increased the relative risk of death by approximately 60%, compared to starting at 150 to 249 cells/mm3 or more, and more than tripled the risk of death when compared to starting at a CD4 count above 300 cells/mm3. These findings were reported by Edward J Mills and colleagues in an observational study of 22,315 patients in ten clinics in Uganda, studied over a ten-year period, and published in the advance online edition of AIDS.

The lower the CD4 cell count at the start of ART, the greater the risk of death. Death rates were highest in the first year.

Over a median follow-up period of 31 months ((IQR: 19-45), 6.7% died and 6.4% were lost to follow-up.

Glossary

observational study

A study design in which patients receive routine clinical care and researchers record the outcome. Observational studies can provide useful information but are considered less reliable than experimental studies such as randomised controlled trials. Some examples of observational studies are cohort studies and case-control studies.

inter-quartile range

The spread of values, from the smallest to the largest. The inter-quartile range (IQR) only includes the middle 50% of values and measures the degree of spread of the most common values.

loss to follow up

In a research study, participants who drop out before the end of the study. In routine clinical care, patients who do not attend medical appointments and who cannot be contacted.

resistance testing

Laboratory testing to determine if an individual’s HIV strain is resistant to anti-HIV drugs. 

relative risk

Comparing one group with another, expresses differences in the risk of something happening. For example, in comparison with group A, people in group B have a relative risk of 3 of being ill (they are three times as likely to get ill). A relative risk above 1 means the risk is higher in the group of interest; a relative risk below 1 means the risk is lower. 

This is, note the authors, the largest study to look at the effects of baseline CD4 cell count on mortality in HIV patients on ART in sub-Saharan Africa, and to quantify the relative risk of very late initiation of antiretroviral therapy. 

CD4 cell count at the start of ART is one of the most important predictors of survival. Patients in most resource-poor settings start ART late in the course of their illness, often with very low CD4 cell counts

Current World Health Organization guidelines recommend that ART is started at 350 cells/mm3 or below; the International AIDS Society guidelines recommend starting at 500 cells/mm3 or below. Guidance is based on limited and conflicting data from resource-rich settings.

Data from The AIDS Support Organisation (TASO) clinics in Uganda, from patients aged 14 or over who had started ART between 1 January 2000 and 1 February 2010, were analysed.

Patients were followed until death or the end of the study. Age, gender, and baseline CD4 cell count (divided by categories: below 50, 50 to 99, 100 to 149, 150 to 249, 250 to 299, and at or above 300 cells/mm3) were noted. Survival was assessed according to these categories.

Median age was 37 years (IQR: 31-43) and 70% of patients were female.

Median CD4 cell count at the start of ART was 142 cells/mm3 (IQR: 70-206 cells/mm3), with more than 70% starting with a CD4 cell count under 200 cells/mm3.

Sixty per cent of patients started treatment at an advanced stage of their illness (WHO disease stage II or III).  Adherence was maintained at 95% and over for 85.8% of patients.

The authors note that, unlike many programmes in Africa, TASO programmes have a relatively low loss-to-follow-up rate, as shown in this study. They explain that TASO clinics provide adherence counsellors and database managers at each of their sites. In addition, peer support groups and psychosocial support have played an important role in TASO programmes, from the beginnings of the epidemic in Uganda.

Crude mortality rates ranged from 53.8 per 1000 patient-years (95% CI: 48.8-58.8) among those starting ART with CD4 cell counts below 50 cells/mm3, to 15.7 per 1000 patient-years (95% CI: 12.1-19.3) for those with CD4 cell counts over 300 cells/mm3.

Adjusting for gender, WHO disease stage and year when starting ART, the risk of death increased significantly as the CD4 cell count decreased. However, the authors stress that the best time to start ART cannot be determined from this study.

Relative to a CD4 cell count at baseline of under 50 cells/mm3, the risk of mortality was 0.75 (95% CI: 0.65-0.88)at 50 to 99 cells/mm3; 0.60 (95% CI: 0.51-0.70) at 100 to 149 cells/mm3; 0.43 (95% CI: 0.37-0.50) at 150 to 249 cells/mm3and 0.41 (95% CI: 0.33-0.51) at more than 250 cells/mm3, p=<0.001.

Even when taking into account the missing baseline CD4 cell counts of 3817 patients (17.1%), the differences remained significant.

The authors note that the missing data, as in other resource-poor settings, reflect a lack of resources. In addition, they note that routine patient data – such as viral load or resistance testing data – are not available, so it is not possible to understand how these factors may have affected mortality in this cohort. 

The authors caution against drawing conclusions about causality as this was an observational study.

The authors note their study did not take into account patients, in any of the CD4 cell-count categories, who died before receiving ART.

Uganda guidelines recommend patients start ART at or below 250 cells/mm3. In the interests of improved access to treatment and health, the Ugandan Ministry of Health is considering an increase in the threshold for starting treatment to 300 cells/mm3.

The authors conclude that starting ART earlier is associated with increased survival benefits and “may extend beyond mortality alone to decreased co-infections, decreased resource costs and possibly even prevention efforts”.

References

Mills EJ et al. Mortality by baseline CD4 cell count among HIV patients initiating antiretroviral therapy: evidence from a large cohort in Uganda. AIDS 25(6):851-855 (DOI:10.1097/QAD.0b013e32834564e9), 2011.