Clinical, demographic and laboratory parameters at HAART initiation associated with decreased post-HAART survival in a U.S. military prospective HIV cohort
- Alan R Lifson1, 3Email author,
- Elizabeth M Krantz2, 3,
- Patricia L Grambsch2, 3,
- Grace E Macalino3,
- Nancy F Crum-Cianflone3, 4,
- Anuradha Ganesan3, 5,
- Jason F Okulicz3, 6,
- Anne Eaton2,
- John H Powers7,
- Lynn E Eberly2, 3,
- Brian K Agan3Email author and
- the Infectious Disease Clinical Research Program HIV/STI Working Group
© Lifson et al; licensee BioMed Central Ltd. 2012
Received: 19 September 2011
Accepted: 10 February 2012
Published: 10 February 2012
Although highly active antiretroviral therapy (HAART) has improved HIV survival, some patients receiving therapy are still dying. This analysis was conducted to identify factors associated with increased risk of post-HAART mortality.
We evaluated baseline (prior to HAART initiation) clinical, demographic and laboratory factors (including CD4+ count and HIV RNA level) for associations with subsequent mortality in 1,600 patients who began HAART in a prospective observational cohort of HIV-infected U.S. military personnel.
Cumulative mortality was 5%, 10% and 18% at 4, 8 and 12 years post-HAART. Mortality was highest (6.23 deaths/100 person-years [PY]) in those with ≤ 50 CD4+ cells/mm3 before HAART initiation, and became progressively lower as CD4+ counts increased (0.70/100 PY with ≥ 500 CD4+ cells/mm3). In multivariate analysis, factors significantly (p < 0.05) associated with post-HAART mortality included: increasing age among those ≥ 40 years (Hazard ratio [HR] = 1.32 per 5 year increase), clinical AIDS events before HAART (HR = 1.93), ≤ 50 CD4+ cells/mm3 (vs. CD4+ ≥ 500, HR = 2.97), greater HIV RNA level (HR = 1.36 per one log10 increase), hepatitis C antibody or chronic hepatitis B (HR = 1.96), and HIV diagnosis before 1996 (HR = 2.44). Baseline CD4+ = 51-200 cells (HR = 1.74, p = 0.06), and hemoglobin < 12 gm/dL for women or < 13.5 for men (HR = 1.36, p = 0.07) were borderline significant.
Although treatment has improved HIV survival, defining those at greatest risk for death after HAART initiation, including demographic, clinical and laboratory correlates of poorer prognoses, can help identify a subset of patients for whom more intensive monitoring, counseling, and care interventions may improve clinical outcomes and post-HAART survival.
KeywordsHighly active antiretroviral therapy mortality CD4+ lymphocyte count
Although highly active antiretroviral therapy (HAART) has significantly reduced mortality in HIV-infected patients [1–3], some patients receiving therapy are still dying. Guidelines for patients on stable HAART recommend laboratory monitoring and follow-up every 3-6 months . However, more frequent and intensive monitoring and care may be indicated for those at greatest risk of post-HAART adverse clinical outcomes. Although CD4+ count is an important determinant of subsequent risk of death, other clinical and laboratory parameters at HAART start, as well as factors such as older age, may also affect post-HAART survival [5–10].
The U.S. Military HIV Natural History Study (NHS) is a prospective observational cohort of consenting HIV-infected military personnel . Although HIV-positive status is an exclusion criterion for enlistment, active duty personnel undergo repeat HIV screening every 1-5 years, allowing for early diagnosis of infection; those found HIV-positive after enlistment receive free HIV specialty care, including HAART, at referral military medical centers. With NHS participants now followed for up to 14 years after HAART initiation, we examined clinical, laboratory and demographic factors at HAART initiation that were associated with subsequent mortality
Study cohort: We included active duty members and retirees with: (1) documented HIV serostatus; (2) CD4+ count within six months before HAART; (3) HAART initiation after July 1995, and after or within one month before NHS enrollment. The governing central institutional review board approved this substudy; NHS participants provide written informed consent.
Variables for analysis: We evaluated death reports from participating centers through November 2010. A National Death Index (NDI) match was also conducted to capture deaths through 12/31/06 among participants lost to follow-up. Patients not known to have died who remained under follow-up had follow-up period censored at date of last clinic visit; those lost to follow-up had follow-up censored at 12/31/06 (corresponding to NDI search).
"Baseline" for this analysis was date of HAART initiation. Baseline CD4+ count and HIV RNA level were values closest to HAART initiation in the six months before HAART. Clinical AIDS events were those in the Centers for Disease Control definition (CD4+ criteria excluded) . Anemia was defined as hemoglobin < 12 gm/dL for women and < 13.5 gm/dL for men within three years before HAART. Body mass index (BMI) calculations used height and weight within one year before or up to 30 days after HAART initiation.
For 80% of participants with documented last negative and first positive HIV test dates, estimated HIV SC date was calculated as the midpoint. For 20%, date of first positive but not last negative test was available; SC dates were imputed based upon median times between last negative and first positive date for other cohort members with comparable first HIV positive dates . Chronic hepatitis B virus (HBV) infection was defined as ≥ 2 positive HBV surface antigen tests ≥ 6 months apart, and hepatitis C virus (HCV) infection as a positive HCV antibody test, both determined prior to or within 30 days of HAART initiation. We defined HAART based on regimens with ≥ 2 ART classes or certain combinations of ≥ 3 nucleoside/nucleotide reverse transcriptase inhibitors (NRTI); other (non-HAART) ART was essentially mono or dual therapy.
Statistical methods: Mortality rates following HAART initiation were calculated per 100 person-years (PY) with exact Poisson 95% confidence intervals (CI). We used Kaplan-Meier summaries for cumulative mortality rates post-HAART, and Cox proportional hazards models to estimate associations between baseline covariates and mortality. Based upon visual evaluation of age at HAART start and survival, linear splines were used to model effects of age separately for those < 40 and ≥ 40 years of age.
Variables significant (p < 0.05) in univariate analyses were included in the multivariate model. The proportional hazards assumption was assessed by graphical inspection of the log-negative-log of the survival distribution plotted by log of survival time for covariate categories.
Post-HAART Mortality Rate by Demographic, Clinical and Laboratory Parameters Prior to HAART Initiation, U.S. Military HIV Natural History Study
Number and % of Participants
Number of Deaths
Deaths/100 PY (95% CI)
1.53 (1.32, 1.77)
1.37 (0.59, 2.70)
Age at HAART Initiation (years)
1.11 (0.73, 1.62)
1.53 (1.13, 2.02)
1.28 (0.95, 1.69)
2.17 (1.67, 2.77)
1.40 (1.12, 1.75)
1.70 (1.38, 2.09)
1.27 (0.72, 2.06)
BMI at HAART initiation (kg/m2)
1.70 (1.36, 2.10)
25 to < 30
1.23 (0.92, 1.61)
1.07 (0.61, 1.74)
2.23 (1.54, 3.13)
Clinical AIDS event prior to HAART
1.20 (1.01, 1.42)
5.23 (3.90, 6.85)
CD4+ count at HAART initiation (cells/mm3)
6.23 (4.67, 8.15)
2.19 (1.61, 2.90)
1.15 (0.83, 1.56)
0.89 (0.60, 1.27)
0.70 (0.41, 1.12)
HIV RNA at HAART initiation (copies/ml)
0.80 (0.38, 1.47)
0.86 (0.55, 1.29)
1.38 (1.09, 1.72)
2.75 (2.18, 3.44)
Anemia within 3 years
0.87 (0.66, 1.12)
2.34 (1.95, 2.79)
1.96 (0.40, 5.73)
Chronic HBV or HCV antibody positive
1.29 (1.09, 1.53)
3.44 (2.54, 4.56)
0.95 (0.26, 2.42)
Year of HIV diagnosis
2.00 (1.71, 2.33)
1996 or after
0.56 (0.35, 0.83)
Year of HAART initiation
1.74 (1.49, 2.02)
0.72 (0.43, 1.13)
Time from SC to HAART initiation (years)
0.55 (0.31, 0.89)
1.20 (0.82, 1.71)
5 to < 9
1.83 (1.41, 2.33)
2.26 (1.79, 2.82)
Other (non-HAART) ART
0.61 (0.41, 0.87)
2.12 (1.80, 2.48)
Univariate and Multivariate Model Estimates for Post-HAART Mortality by Baseline Parameters Prior to HAART Initiation, U.S. Military HIV Natural History Study
Baseline Covariate (at HAART initiation)
Univariate Hazard Ratio (95% CI)
Multivariate Hazard Ratio (95% CI)
Gender: Female vs. Male
0.89 (0.44, 1.80)
per 5 years older if age < 40 years
1.11 (0.95, 1.30)
0.91 (0.76, 1.08)
per 5 years older if age ≥ 40 years
1.27 (1.12, 1.44)**
1.32 (1.16, 1.51)**
1.22 (0.91, 1.65)
0.92 (0.54, 1.58)
25 to < 30
0.73 (0.52, 1.03)
0.64 (0.38, 1.10)
1.29 (0.87, 1.93)
Clinical AIDS event prior to HAART
4.26 (3.09, 5.87)**
1.93 (1.33, 2.81)**
CD4+ count at (cells/mm3)
8.91 (5.15, 15.40)**
2.97 (1.56, 5.65)**
3.07 (1.76, 5.35) **
1.74 (0.97, 3.12)
1.69 (0.96, 2.98)
1.39 (0.79, 2.46)
1.29 (0.71, 2.35)
1.21 (0.66, 2.19)
HIV RNA (copies/ml) per one log10 increase
1.72 (1.44, 2.04)**
1.36 (1.12, 1.64)*
Anemia within 3 years
2.61 (1.92, 3.55)**
1.36 (0.97, 1.92)
2.29 (0.72, 7.30)
1.96 (0.40, 5.73)
Chronic HBV or HCV antibody positive
2.61 (1.88, 3.63)**
1.96 (1.39, 2.76)**
0.73 (0.27, 1.99)
0.98 (0.36, 2.67)
Year of HIV diagnosis
3.35 (2.16, 5.21)**
2.44 (1.51, 3.93)**
1996 or after
Year of HAART initiation
2.13 (1.31, 3.46)*
Time from SC to HAART (years) per 1 year increase
1.10 (1.06, 1.14)**
Other (non-HAART) ART
3.28 (2.21, 4.87)**
Exploratory analysis found strong colinearity between years from SC to HAART initiation, HIV diagnosis era, era of HAART initiation, and other ART use. For multivariate models, we chose HIV diagnosis before or after 1996, when HAART generally became available. Multivariate factors significantly associated with mortality included: increasing age among those ≥ 40 years, clinical AIDS event before HAART, CD4+ ≤ 50 cells/mm3, greater HIV RNA level, HCV/chronic HBV, and HIV diagnosis before 1996 (Table 2). Anemia within three years prior to HAART (p = 0.07), and CD4+ = 51-200 cells/mm3 (p = 0.06) were of borderline significance.
In additional exploratory analyses, we added gender and race (as potential confounders), or initial HAART regimen class to our multivariate model; none of these was significantly associated with mortality.
Among HIV-infected military personnel, factors at HAART initiation associated with poorer survival included greater age in those ≥ 40 years, lower CD4+ count, greater HIV RNA level, prior clinical AIDS event, HIV diagnosis before 1996, and either HCV or chronic HBV; in multivariate analysis, anemia was borderline significant.
Consistent with other studies [14–16], mortality rates progressively decreased from lowest to highest baseline CD4+ strata, from 6.23 deaths in ≤ 50 CD4+ cell strata to 0.70 deaths/100 PY in the ≥ 500 CD4+ strata. While we did not find statistically significant mortality differences between higher CD4+ levels , this may reflect limited power from smaller numbers of deaths in higher CD4+ categories.
Higher HIV RNA level prior to HAART predicted increased mortality even after adjusting for CD4+ count and prior clinical AIDS. One potential explanation is if those with higher HIV RNA levels had longer time to viral suppression after HAART initiation, and/or did not develop viral suppression before death. Ongoing HIV replication may place patients at greater risk of opportunistic disease or death [17, 18].
Among those ≥ 40 years, older age at HAART start was associated with poorer prognosis. Other analyses of HIV patients in the HAART era also report decreased survival with older age [8–10, 18]. Given increasing recognition of HIV in those ≥ 50 years [19, 20], older patients initiating HIV care and treatment require more intensive monitoring and follow-up.
In this analysis, we combined chronic HBV and HCV antibody positivity, since HIV patients co-infected with either virus have increased mortality from liver-related deaths [21–23]. Although we did not have access to HCV RNA, the great majority of HCV antibody-positive HIV patients likely had chronic HCV infection [23, 24]. Providers should know current guidelines for co-infected patient including, when appropriate, therapy against HBV or HCV [4, 23, 25].
This cohort of HIV-infected military personnel has several strengths. Medical and other support provided to participants (including free HIV treatment) minimize socioeconomic disadvantage and lack of access to care that might otherwise influence outcome. Viral suppression rates in this cohort were reported to approach those in clinical trials . The cohort is ethnically diverse. We can estimate time from HIV SC to HAART start. Follow-up extended for some patients to 14 years, longer than many other studies.
Our analysis has several limitations. We focused on baseline factors at HAART initiation, and not time-updated post-HAART changes. Our endpoint was overall mortality, rather than specific causes of death. Group differences in mortality may be due to additional unmeasured confounding factors. Populations with different demographic or risk characteristics may have different predictors of survival.
In summary, although HAART has improved survival for persons with HIV, defining those at greatest risk for death after HAART initiation, including demographic, clinical and laboratory indicators associated with poorer prognoses, can help identify a subset of patients for whom more intensive monitoring, counseling, and care interventions may improve clinical outcomes and post-HAART survival.
Acknowledgements and funding
Additional members of the Infectious Disease Clinical Research Program HIV/STI Working Group include Susan Banks, Mary Bavaro, Helen Chun, Cathy Decker, Connor Eggleston, Susan Fraser, Joshua Hartzell, Gunther Hsue, Arthur Johnson, Mark Kortepeter, Tahaniyat Lalani, Michael Landrum, Michelle Linfesty, Scott Merritt, Robert O'Connell, Sheila Peel, Michael Polis, Roseanne Ressnerk, Edmund Tramont, Tyler Warkentien, Paige Waterman, Amy Weintrob, Timothy Whitman, Glenn Wortmann, and Michael Zapor. The content and views expressed in this publication is the sole responsibility of the authors and does not necessarily reflect the views or policies of the NIH or the Department of Health and Human Services, the DoD or the Departments of the Army, Navy, Air Force, Department of Defense, nor the U.S. Government. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government. Support for this work (IDCRP-000-14) was provided by the Infectious Disease Clinical Research Program, a Department of Defense (DoD) program executed through the Uniformed Services University of the Health Sciences. This project has been funded in whole, or in part, with federal funds from the National Institute of Allergy and Infectious Diseases, National Institutes of Health (NIH), under Inter-Agency Agreement Y1-AI-5072.
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