KA Lichtenstein1, C Armon2, K Buchacz3, AC Moorman3, KC Wood2, JT Brooks3, and the HOPS Investigators - PowerPoint PPT Presentation

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KA Lichtenstein1, C Armon2, K Buchacz3, AC Moorman3, KC Wood2, JT Brooks3, and the HOPS Investigators

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Analysis of Cardiovascular Risk Factors in the HIV Outpatient Study (HOPS) Cohort #735 Kenneth A. Lichtenstein, MD University of Colorado Health Sciences Center – PowerPoint PPT presentation

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Title: KA Lichtenstein1, C Armon2, K Buchacz3, AC Moorman3, KC Wood2, JT Brooks3, and the HOPS Investigators


1
Analysis of Cardiovascular Risk Factors in the
HIV Outpatient Study (HOPS) Cohort
735
Kenneth A. Lichtenstein, MD University of
Colorado Health Sciences Center 4200 East 9th
Avenue, B163 Denver, Colorado, 80262 Kenneth.Licht
enstein_at_uchsc.edu P - 303-320-2830 F -
303-320-7016
KA Lichtenstein1, C Armon2, K Buchacz3, AC
Moorman3, KC Wood2, JT Brooks3, and the HOPS
Investigators 1University of Colorado Health
Sciences Center, Denver, CO 2Cerner Corporation,
Vienna, VA 3Centers for Disease Control and
Prevention, Atlanta, GA
  • Background
  • Lipid abnormalities and cardiovascular disease
    (CVD) in HIV-infected patients have led to
    concerns about the contribution of antiretroviral
    agents to these co-morbidities.
  • Methods
  • We analyzed a prospective, dynamic cohort of
    gt8,000 patients followed since 1993 in the HOPS.
    We used chi-square and logistic regression
    analyses to assess risk factors for
    cardiovascular events (myocardial infarction
    (MI), peripheral vascular disease (PVD), coronary
    artery disease (CAD) and stroke), including time
    on HAART after its initiation (took HAART gt95
    vs. lt95 of the time). We used Cox proportional
    hazards regression to assess the impact of
    treatment of hyperlipidemia on cardiovascular
    events.
  • Study Population We included patients with
    visits from 3/1/1996 through 9/30/2005 who were
    either ARV-naïve or who had completely documented
    ARV histories, with at least 90 days of HAART
    experience. In addition, patients must have had
    at least one of each of the following tests
    total cholesterol, HDL, LDL, triglycerides, or
    glucose. We limited the Cox proportional hazards
    analysis of risk factors for CVD among patients
    with hyperlipidemia to the subset of patients
    diagnosed with hyperlipidemia during the
    observation period.
  • Definitions Smoking indicated a current
    cigarette smoker at the time of entry into the
    HOPS. Diabetes was determined by diagnosis,
    treatment for diabetes, elevated hemoglobin A1C,
    or elevated fasting insulin or glucose levels
    (gtULN for all tests). Hypertension and
    hyperlipidemia were determined by clinician
    diagnosis of each condition.
  • Results
  • From 1993-2005, among 8,024 total patients
    followed in the HOPS, there were 57 MIs (Figure
    1a), 22 cases of PVD (Figure 1b), 86 cases of CAD
    (Figure 1c) and 22 cases of PVD (Figure 1d). MI
    cases peaked from 2000 and declined thereafter
    (Figure 1a) coincident with increased use of
    medications for hypertension and hyperlipidemia
    (Figure 2).
  • 1,807 patients met inclusion criteria for
    this analysis, of whom 57 (3.2) contributed 84
    total CVD diagnoses 13 MI, 2 PVD, 57 CAD, and 12
    stroke diagnoses. Patients with CVD were older,
    and had a longer follow-up time than patients
    without CVD (Table 1).
  • In the multivariate analysis (Figure 4),
    significant (plt0.05) independent risk factors for
    CVD were (adjusted odds ratio shown in
    parentheses) Age gt 40 years at pre-HAART CD4
    (3.31), diabetes (3.24), hyperlipidemia (1.95),
    and nadir HDL (0.97). Pre-HAART CD4 count,
    percent of time on HAART since start of first
    HAART regimen, BMIgt30, peak viral burden, peak
    total cholesterol, peak LDL, peak triglycerides,
    specific antiretroviral agents or classes (Table
    3), antiretroviral switches to other drugs or
    classes (Table 4), smoking, IDU, gender, or
    race/ethnicity were not statistically associated
    with CVD (data not shown).
  • Use of lipid-lowering agents was associated
    with reduced risk for CVD among patients with
    hyperlipidemia (Table 5) (HR0.34, p0.02).
  • Conclusions
  • Among HOPS patients, the majority of whom are
    white and male, the risk of cardiovascular
    disease was associated with traditional CVD risk
    factors older age, preexisting hyperlipidemia,
    diabetes, and low nadir HDL.
  • The risk of CVD was lowered with use of lipid
    lowering agents, but was unrelated to specific
    antiretroviral agents or changes in
    antiretroviral therapy.
  • Acknowledgements
  • The authors thank the staff and thousands of HOPS
    subjects across the United States for their
    continued support and participation in the study.

Table 2. Univariate Logistic Regression Analysis
of Risk Factors for CVD (N1807, CVD cases 57)
Table 1. Demographics of the Study Population
(N1807)
CVD Yes () No () (N 57) (N1750) CVD Yes () No () (N 57) (N1750)
Male gender 45 (78.9) 1399 (79.9)
Median Age 45 years 38 years
White race 36 (63.2) 1082 (61.8)
African-American 15 (26.3) 498 (28.5)
Hispanic 2 (3.5) 61(3.5)
Smoking (at HOPS entry) 26 (45.6) 675 (38.6)
Median follow-up 7.1 years 5.9 years
Effect Odds Ratiounadj 95 Confidence Interval p-value
Age gt 40 years 4.39 2.31-8.48 lt 0.001
Male gender 0.94 0.48-1.90 0.987
African American race 0.90 0.47-1.69 0.839
Hypertension 2.69 1.52-4.76 lt 0.001
Smoking (at HOPS entry) 1.34 0.76-2.34 0.349
Diabetes 5.32 2.73-10.3 lt 0.001
Nadir HDL lt 35 2.42 1.31-4.53 0.004
BMI gt 30 1.99 1.05-3.72 0.033
Hyperlipidemia 3.11 1.74-5.55 lt 0.001
Viral load gt 100K 1.61 0.96-2.71 0.076
HAART lt 95 1.39 0.77-2.50 0.303
Pre-HAART CD4 lt 200 1.67 0.95-2.92 0.076
IDU 2.03 0.82-4.78 0.098
Diagnoses 1 1 0 3
2 5 3 10 7 10
8 5 2 1
0 4 2 0 2 3
4 4 7 8 4 5
Patients seen (1070)(1949)(2530)(2742)(3062)(307
0)(3175)(3435)(3454)(3483)(3427)(3164) (2724)
(1061)(1935)(2519)(2746)(3043)(3048)
(3157)(3410)(3439)(3473) (3428)(3173)(2737)
Table 3 Antiretroviral use and CVD (N1807,
CVD cases 57)
Any use CVD No CVD p-value Any use CVD No CVD p-value
d4T, 40 mg. BID 32 (56) 853 (49) 0.33 NFV 21 (37) 693 (40) 0.78
d4T, lt 40 mg. BID 10 (18) 380 (22) 0.56 LPV/RTV 10 (18) 419 (24) 0.34
IDV 25 (44) 709 (41) 0.71 ATZ 4 (7) 253 (14) 0.16
RTV gt 800 mg./day 19 (33) 684 (39) 0.46 NVP 18 (32) 603 (34) 0.76
SQV 12 (21) 372 (21) 0.47 EFV 29 (51) 808 (46) 0.57
Table 4 Change in Antiretroviral use and CVD
(N1807, CVD cases 57)
Change from IDV, NFV, SQV, RTV, or LPV/RTV CVD No CVD p-value Change from IDV, NFV, SQV, RTV, or LPV/RTV CVD No CVD p-value
Change to ATZ 3 (5) 99 (6) 1.00 Change to any NNRTI 3 (5) 188 (11) 0.27
Diagnoses 0 0 1 1
7 2 6 10 8 12
9 10 20 0
0 0 0 1 1 0
1 0 3 7 6 3
Patients seen (1064)(1937)(2508)(2708)(3031)(302
1)(3132)(3382)(3413)(3442)(3394)(3140) (2719)
(1063)(1942)(2522)(2707)(3051) (3055)
(3165) (3417)(3446)(3479) (3436)(3177)(2737)
Table 5. Cox Proportional Hazards Analysis of
Risk Factors for CVD among Patients with
Hyperlipidemia (N363,
CVD cases 24)
Effect Hazard Ratioadj. 95 Confidence Interval p-value
Lipid-lowering agents 0.34 0.14-0.85 0.021
Age gt 40 years 2.38 0.88-6.43 0.087
Diabetes 2.45 0.99-6.05 0.052
Smoking 2.22 0.98-5.05 0.057

p lt 0.001 p lt 0.001 p
0.024 p 0.059 p 0.004
Time-dependent variable.
Patients Seen
Continuous variable Vertical bars 95
Confidence Intervals

The findings and conclusions from this
presentation are those of the authors and do not
necessarily represent the views of the Centers
for Disease Control and Prevention.
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