Compliance with National Cholesterol Education Program Adult Treatment Panel III (NCEP) guidelines has been shown to significantly reduce incident cardiovascular events. We investigated physicians’ compliance with NCEP guidelines to reduce cardiovascular disease (CVD) risk in a population infected with HIV.
We analyzed HIV Outpatient Study (HOPS) data, following eligible patients from January 1, 2002, or first HOPS visit thereafter to calculate 10-year cardiovascular risk (10yCVR), until September 30, 2009, death, or last office visit. We categorized participants into four 10yCVR strata, according to guidelines determined by NCEP, the Infectious Disease Society of America, and the Adult AIDS Clinical Trials Group. We calculated percentages of patients treated for dyslipidemia and hypertension, calculated percentages of patients who achieved recommended goals, and categorized them by 10yCVR stratum.
Of 2,005 patients analyzed, 33.7% had fewer than 2 CVD risk factors. For patients who had 2 or more risk factors, 10yCVR was less than 10% for 28.2%, 10% to 20% for 18.2%, and higher than 20% for 20.0% of patients. Of patients eligible for treatment, 81% to 87% were treated for elevated low-density lipoprotein cholesterol/non–high-density lipoprotein cholesterol (LDL-C/non–HDL-C), 2% to 11% were treated for low HDL-C, 56% to 91% were treated for high triglycerides, and 46% to 69% were treated for hypertension. Patients in higher 10yCVR categories were less likely to meet treatment goals than patients in lower 10yCVR categories.
At least one-fifth of contemporary HOPS patients have a 10yCVR higher than 20%, yet a large percentage of at-risk patients who were eligible for pharmacologic treatment did not receive recommended interventions and did not reach recommended treatment goals. Opportunities exist for CVD prevention in the HIV-infected population.
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Assess the association between HIV infection and cardiovascular risk factors
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Evaluate physician adherence to cardiovascular risk treatment among patients with HIV
Distinguish variables associated with not receiving recommended treatment for cardiovascular risk factors
Camille Martin, editor; Ellen Taratus, editor,
Charles Vega, MD, Associate Professor and Residency Director, Department of Family Medicine, University of California-Irvine, Irvine. Disclosure: Charles P. Vega, MD, FAAFP, has disclosed no relevant financial relationships.
Disclosures: Kenneth A. Lichtenstein, MD, has disclosed the following financial relationships: Received grants for clinical research from ViiV and Abbott. He serves on advisory boards for Bristol-Myers Squibb and ViiV; Carl Armon, PhD; Kate Buchacz, PhD; Joan S. Chmiel, PhD, have disclosed no relevant financial relationships; Kern Buckner, MD, has disclosed the following financial relationships: Serves on an advisory board for Genesee BioMedical and has intellectual property with that company. He serves on the Board of Directors and has intellectual property with Wireless Medical, Inc. He also is on the Speaker Bureau for Boehringer Ingelheim Pharmaceuticals, Inc.; Ellen Tedaldi, MD, receives research support from Merck; Kathleen Wood, BSN; Scott D. Holmberg, MD; John T. Brooks, MD, have disclosed no relevant financial relationships.
Affiliations: Kenneth A. Lichtenstein, Kern Buckner, National Jewish Health, Denver, CO; Carl Armon, Kathleen Wood, Cerner Corporation, Vienna, VA; Kate Buchacz, Scott D. Holmberg, John T. Brooks, Centers for Disease Control and Prevention, Atlanta, GA; Joan S. Chmiel, Northwestern University, Feinberg School of Medicine, Chicago, IL; Ellen Tedaldi, Temple University School of Medicine, Philadelphia, PA.
Compliance with guidelines established in 2001 by the National Cholesterol Education Program Adult Treatment Panel III (NCEP) for primary and secondary prevention of myocardial infarction significantly reduces incident cardiovascular events (
The HOPS is an ongoing, prospective, observational cohort study of HIV-infected patients receiving care in 10 participating HIV clinics (4 universities, 2 public clinics, 4 private clinics) in 8 US cities (Chicago, Illinois; Denver, Colorado; Stony Brook, New York; Oakland/San Leandro, California; Philadelphia, Pennsylvania; Tampa, Florida; and Washington, DC) since March 1993. The cohort represents a convenience sample of patients receiving HIV care at the sites; enrollment varies by clinic size. Patient data, including sociodemographic characteristics, symptoms, signs, diagnoses, treatments, and laboratory values, are abstracted from medical charts and entered into an electronic database by trained staff. Data are reviewed for quality and analyzed centrally. The HOPS protocol is reviewed and approved annually by the Centers for Disease Control and Prevention and each local site’s institutional review board. This analysis used HOPS data from January 1, 2002, through September 30, 2009.
Entry criteria for participation in HOPS are documented HIV infection and informed consent to participate in the study. To assess achievement of treatment goals based on the 2001 NCEP guidelines, we included HOPS patients active on or after January 1, 2002, to allow clinicians the opportunity to respond to the 2001 guidelines. We defined “active” patients as those who had attended 2 or more office visits since January 1, 2002. The categorization of patients by their baseline 10-year CVR (10yCVR) required that eligible patients have had 2 or more blood pressure readings recorded and at least 1 fasting lipid panel obtained as baseline measurements any time between 12 months before and up to 9 months after the baseline date, and at least 1 year after baseline. Patients were followed until September 30, 2009, death, or last office visit.
We assessed whether the percentages of patients treated per modified NCEP guidelines and achieving recommended goals at any time during the follow-up period differed across progressively higher categories of baseline 10yCVR and according to key baseline demographic characteristics. We also calculated rates of incident cardiovascular events per 100 person-years of observation by 10yCVR group for descriptive purposes because of the small number of cardiovascular events.
We categorized HOPS patients by baseline 10yCVR into 4 categories per NCEP guidelines (
Major risk factors for CHD included cigarette smoking (past or current), hypertension (systolic/diastolic blood pressure ≥140/90 mm Hg; or for patients diagnosed with diabetes or chronic renal insufficiency, ≥130/80 mm Hg; or prescription of antihypertensive therapy with a diagnosis of hypertension, regardless of blood pressure), elevated serum low-density lipoprotein cholesterol (LDL-C), serum high-density lipoprotein cholesterol (HDL-C) less than 40 mg/dL for men and less than 50 mg/dL for women, a family history of premature CHD (first-degree male relative aged <55 y, first-degree female relative aged <65 y), and older age (men, ≥45 y; women, ≥55 y). CHD equivalents are conditions that pose a CHD event risk equal to the risk for having a new CHD event in people with established CHD; these include known noncardiac vascular disease (peripheral arterial disease, abdominal aortic aneurysm, and symptomatic carotid artery disease) and diabetes. We compared the 2,005 patients with those who were excluded because of missing 1 or more required lipid or blood pressure readings.
Clinical interventions for lipid and blood pressure management are made according to 10yCVR risk category. A switch in ART at any time during the study period from a regimen associated with lipid abnormalities or insulin resistance to a regimen less likely to have these associations was considered an appropriate intervention (
Conditions for modification are 1) LDL-C in people with triglyceride levels ≤200 mg/dL and 2) non–HDL-C (total cholesterol minus HDL-C) when triglycerides exceed 200 mg/dL. Recommended values of LDL-C and non–HDL-C at which to initiate therapeutic lifestyle changes and/or drug therapy, as well as target values (goal), differ by each of the 4 NCEP-defined 10yCVR categories (
| CVR Category | LDL-C Level at Which to Initiate Therapeutic Lifestyle Changes, mg/dL | LDL-C Level at Which to Consider Lipid-Lowering Therapy, mg/dL | LDL-C Goal, mg/dL |
|---|---|---|---|
| Low risk, ≤1 major risk factor (10yCVR <10%) | ≥160 | ≥190 | <160 |
| Moderate risk, ≥2 major risk factors (10yCVR <10%) | ≥130 | ≥160 | <130 |
| Moderately high risk, ≥2 major risk factors (10yCVR 10%–20%) | ≥130 | ≥130 | <130 |
| High risk, ≥2 major risk factors or CHD equivalent or (10yCVR >20%) | ≥100 | ≥130 | <100 |
Abbreviations: CHD, coronary heart disease (coronary heart disease or coronary heart disease equivalent per NCEP guidelines); HDL-C, high-density lipoprotein cholesterol.
When serum triglycerides are ≥ 200 mg/dL, non-HDL-C goals are used instead of LDL-C goals. Non-HDL-C goals are 30 mg/dL above the LDL-C goals shown in the table.
We defined the presence of metabolic syndrome as having at least 3 of the following: fasting triglycerides of at least 150 mg/dL, low HDL-C, fasting blood glucose of at least 110 mg/dL, systolic blood pressure of at least 130 mm Hg or diastolic blood pressure of at least 85 mm Hg, and a body mass index (BMI) of at least 28.9 kg/m2 for men or 24.9 kg/m2 for women.
We defined appropriate treatment as prescription of a 3-hydroxy-3-methylglutaryl-CoA (HMG CoA) reductase inhibitor (statin), with or without ezetimibe, or bile acid sequestrants for elevated LDL-C/non-HDL-C (
Summaries of descriptive data, univariate analyses, and Cochrane–Armitage tests for trend were conducted with SAS version 9.2 (SAS Institute, Inc, Cary, North Carolina). We compared the distributions of categorical variables using a likelihood ratio, continuity-adjusted χ2 test, or Fisher exact test, and we compared the distributions of continuous variables with a Wilcoxon rank-sum test for 2-group comparisons. We used a χ2 test and Kruskal–Wallis test for comparisons of more than 2 groups. We computed incidence rates of cardiovascular events per 100 person-years of observation for each 10yCVR category and compared them across 10yCVR categories using StatCalc (EpiInfo 2000, Centers for Disease Control and Prevention, Atlanta, Georgia). Proportion confidence intervals were calculated using mid-
Our study population of 2,005 HOPS patients (baseline median age, 42 y; median CD4+ T cell count, 395 cells/mm3) was predominantly male (76%) and racially/ethnically diverse (52% non-Hispanic white, 33% non-Hispanic black, and 12% Hispanic); 55% of patients were current or former tobacco users at baseline. Seventeen percent of patients had no ART exposure, 77.7% had exposure to highly active ART (HAART) (45.3% had prior mono- or dual-antiretroviral [ARV] exposures; 32.4% had HAART only), and 5.1% were classified as having unknown or missing data on ARV exposure. Of the 2,005 HOPS patients analyzed, 675 were categorized at baseline as low risk, 565 as moderate risk, 365 as moderately high risk, and 400 as high risk. Median follow-up after baseline was approximately 5.5 years and did not differ significantly across 10yCVR categories (
| Characteristic | 10-Year CVR Category |
| ||||
|---|---|---|---|---|---|---|
|
| ||||||
| Overall (N = 2,005) | Low Risk (<10% Risk), ≤1Risk Factor (n = 675) | Moderate Risk (<10% Risk), ≥2 Risk Factors (n = 565) | Moderately High Risk (10%–20% Risk), ≥2 Risk Factors (n = 365) | High Risk (>20% Risk), ≥2 Risk Factors (n = 400) | ||
|
| ||||||
| Baseline | ||||||
|
| 42 | 38 | 41 | 47 | 48 | <.001 |
|
| 1,532 (76) | 451 (67) | 405 (72) | 350 (96) | 326 (82) | <.001 |
|
| ||||||
| White, non-Hispanic | 1,048 (52) | 304 (45) | 276 (49) | 252 (69) | 216 (54) | <.001 |
| Black, non-Hispanic | 657 (33) | 251 (37) | 199 (35) | 73 (20) | 134 (34) | |
| Hispanic | 239 (12) | 93 (14) | 71 (13) | 31 (8) | 44 (11) | |
| Other | 61 (3) | 27 (4) | 19 (3) | 9 (2) | 6 (2) | |
|
| ||||||
| 1998 or earlier | 856 (43) | 247 (37) | 210 (37) | 176 (48) | 223 (56) | <.001 |
| 1999–2005 | 1,149 (57) | 428 (63) | 355 (63) | 189 (52) | 177 (44) | |
|
| 1,147 (57) | 420 (62) | 293 (52) | 233 (64) | 201 (50) | <.001 |
|
| 227 (11) | 37 (5) | 90 (16) | 38 (10) | 62 (16) | <.001 |
|
| 728 (36) | 209 (31) | 204 (36) | 139 (38) | 176 (44) | <.001 |
|
| ||||||
| Nadir CD4+ T cell count <200 cells/mm3 | 1,016 (51) | 314 (47) | 296 (52) | 191 (52) | 215 (54) | .06 |
| Nadir CD4+ T cell count, cells/mm3, median | 197 | 218 | 187 | 190 | 180 | .27 |
| CD4+ T cell count, cells/mm3, median | 395 | 396 | 358 | 401 | 415 | .002 |
| Peak viral load, copies/mL, median | 5,985 | 7,790 | 19,712 | 1,911 | 2,384 | <.001 |
| Viral load, copies/mL, median | 419 | 745 | 908 | 200 | 200 | <.001 |
| Viral load <400 copies/mL | 988 (49) | 305 (45) | 244 (43) | 211 (58) | 228 (57) | <.001 |
|
| ||||||
| Missing information | 127 (6) | 49 (7) | 32 (6) | 18 (5) | 28 (7) | <.001 |
| 0 | 977 (49) | 322 (48) | 284 (50) | 146 (40) | 225 (56) | |
| <7 | 689 (34) | 242 (36) | 192 (34) | 144 (39) | 111 (28) | |
| 7–14 | 124 (6) | 40 (6) | 30 (5) | 31 (8) | 23 (6) | |
| >14 | 88 (4) | 22 (3) | 27 (5) | 26 (7) | 13 (3) | |
|
| ||||||
| Missing information | 120 (6) | 47 (7) | 36 (6) | 21 (6) | 16 (4) | .005 |
| ≤25 | 909 (45) | 331 (49) | 261 (46) | 160 (44) | 157 (39) | |
| >25 | 976 (49) | 297 (44) | 268 (47) | 184 (50) | 227 (57) | |
|
| 1,036 (52) | 112 (17) | 356 (63) | 230 (63) | 338 (85) | <.001 |
|
| 190 (9) | 0 | 0 | 0 | 190 (48) | <.001 |
|
| 1,108 (55) | 164 (24) | 348 (62) | 296 (81) | 300 (75) | <.001 |
|
| ||||||
| Total cholesterol, mg/dL, median | 204 | 197 | 181 | 226 | 238 | <.001 |
| LDL cholesterol, mg/dL, median | 105 | 108 | 94 | 114 | 107 | <.001 |
| HDL cholesterol, mg/dL, median | 37 | 44 | 35 | 35 | 35 | <.001 |
| Non-HDL cholesterol, mg/dL, median | 164 | 151 | 142 | 186 | 199 | <.001 |
| Triglycerides, mg/dL, median | 163 | 126 | 162 | 200 | 225 | <.001 |
| Metabolic syndrome | 516 (26) | 85 (13) | 157 (28) | 103 (28) | 171 (43) | <.001 |
|
| ||||||
| Efavirenz | 452 (23) | 157 (23) | 136 (24) | 66 (18) | 93 (23) | .14 |
| Nevirapine | 213 (11) | 65 (10) | 63 (11) | 38 (10) | 47 (12) | .70 |
| Protease inhibitor, unboosted | 222 (11) | 62 (9) | 72 (13) | 41 (11) | 47 (12) | .23 |
| Protease inhibitor, boosted | 626 (31) | 205 (30) | 171 (30) | 126 (35) | 124 (31) | .51 |
| Zidovudine or Stavudine | 775 (39) | 233 (35) | 230 (41) | 143 (39) | 169 (42) | .043 |
| Didanosine | 273 (14) | 78 (12) | 72 (13) | 62 (17) | 61 (15) | .07 |
| Abacavir | 443 (22) | 139 (21) | 132 (23) | 81 (22) | 91 (23) | .68 |
| Tenofovir | 561 (28) | 174 (26) | 181 (32) | 92 (25) | 114 (29) | .055 |
|
| ||||||
| Statin drug/ezitimibe | 245 (12) | 42 (6) | 31 (5) | 49 (13) | 123 (31) | <.001 |
| Fibrate | 116 (6) | 13 (2) | 16 (3) | 26 (7) | 61 (15) | <.001 |
| Fish oil | 17 (1) | 4 (1) | 3 (1) | 2 (1) | 8 (2) | .09 |
|
| ||||||
|
| ||||||
|
| ||||||
|
| 5.5 | 5.5 | 5.5 | 5.8 | 5.1 | .32 |
|
| ||||||
| Statin drug/ezitimibe | 562 (28) | 119 (18) | 109 (19) | 125 (34) | 209 (52) | <.001 |
| Fibrate | 235 (12) | 39 (6) | 53 (9) | 54 (15) | 89 (22) | <.001 |
| Fish oil | 139 (7) | 25 (4) | 42 (7) | 33 (9) | 39 (10) | <.001 |
|
| 1,353 (67) | 442 (65) | 380 (67) | 260 (71) | 271 (68) | .30 |
|
| 633 (32) | 52 (8) | 212 (38) | 136 (37) | 233 (58) | <.001 |
|
| 148 (7) | 14 (2) | 27 (5) | 45 (12) | 62 (16) | <.001 |
Abbreviations: IDU, intravenous drug use; AIDS, acquired immunodeficiency syndrome; BMI, body mass index; LDL, low-density lipoprotein; HDL, high-density lipoprotein; ARV, antiretroviral.
Values presented as n (%) unless otherwise indicated.
χ2 test for binary variables or Kruskal–Wallis test for continuous variables.
Non-HDL cholesterol equals total cholesterol minus HDL cholesterol.
Defined as the presence of any 3 of the following 5 risk factors: hypertension (≥130 mm Hg over ≥85 mm Hg), elevated triglycerides (≥150 mg/dL), low HDL cholesterol (<40 mg/dL for men, <50 mg/dL for women), fasting glucose ≥110 mg/dL, abdominal obesity (BMI ≥28.9 kg/m2 for men and ≥24.9 kg/m2 for women).
Treatment of either high LDL-cholesterol/non-HDL-cholesterol or hypertriglyceridemia can include the following ARV changes: Zidovudine/Stavudine to Abacavir or Tenofovir; Abacavir to Tenofovir; boosted protease inhibitor to unboosted protease inhibitor; any protease inhibitor to Efavirenz or Nevirapine; Efavirenz to Nevirapine; boosted Indinavir or Lopinavir to boosted Darunavir, Atazanavir, fos-Amprenavir, or Saquinavir/Fortovase.
At baseline, as 10yCVR increased, the percentage of people with the following characteristics increased significantly: those with a diagnosis of either hypertension or metabolic syndrome; median serum total cholesterol and triglycerides; and those prescribed lipid-lowering agents. Median serum HDL-C decreased significantly with increasing 10yCVR categories, whereas LDL-C, the distribution by race/ethnicity, and baseline use of ART did not vary consistently (
Excluded patients were significantly younger (median age, 40 vs 42 y); more likely to be male (82.0% vs 76.4%); more likely to be white (56.2% vs 52.3%); more likely to be privately insured (65.5% vs 57.2%); and less likely to have had an AIDS-defining illness (22.0% vs 36.3%), diabetes (4.3% vs 9.5%), hypertension (27.5% vs 51.7%), or BMI higher than 30 kg/m2 (12.7% vs 19.4%); and more likely to have unknown or missing ARV history (17.0% vs 5.1%) at baseline.
As 10yCVR increased, the percentage of people with each cardiovascular condition of interest increased (
| Condition/CVR Category | % (n/N) With Condition | % (n/N) Treated Per Guidelines | % (n/N) Treated Who Met NCEP Goals |
|---|---|---|---|
|
|
|
|
|
| Low risk | 15.9 (107/675) | 81.3 (87/107) | 81.6 (71/87) |
| Moderate risk | 31.5 (178/565) | 86.5 (154/178) | 62.3 (96/154) |
| Moderately high risk | 62.2 (227/365) | 83.3 (189/227) | 59.3 (112/189) |
| High risk | 80.0 (320/400) | 84.1 (269/320) | 33.5 (90/269) |
|
|
|
|
|
| Low risk | 41.6 (281/675) | 2.9 (8/281) | 50.0 (4/8) |
| Moderate risk | 78.4 (443/565) | 1.6 (7/443) | 14.3 (1/7) |
| Moderately high risk | 67.7 (247/365) | 8.1 (20/247) | 20.0 (4/20) |
| High risk | 73.0 (292/400) | 11.3 (33/292) | 27.3 (9/33) |
|
|
|
|
|
| Low risk | 2.4 (16/675) | 56.3 (9/16) | 88.9 (8/9) |
| Moderate risk | 5.8 (33/565) | 90.9 (30/33) | 80.0 (24/30) |
| Moderately high risk | 12.3 (45/365) | 82.2 (37/45) | 78.4 (29/37) |
| High risk | 18.3 (73/400) | 87.7 (64/73) | 76.6 (49/64) |
|
|
|
|
|
| Low risk | 16.6 (112/675) | 46.4 (52/112) | 67.3 (35/52) |
| Moderate risk | 63.0 (356/565) | 59.6 (212/356) | 66.0 (140/212) |
| Moderately high risk | 63.0 (230/365) | 59.1 (136/230) | 64.0 (87/136) |
| High risk | 84.5 (338/400) | 68.9 (233/338) | 46.4 (108/233) |
Abbreviations: LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; NCEP, National Cholesterol Education Program Adult Treatment Panel III.
See text for definitions of 10-year cardiovascular disease risk categories and definitions of high LDL-C/non-HDL-C, low HDL-C, hypertriglyceridemia, and hypertension.
Eligible patients treated per modified NCEP guidelines within 2 years of baseline date. Treatment of either high LDL-C/non-HDL-C or hypertriglyceridemia can include the following ARV changes: Zidovudine/Stavudine to Abacavir or Tenofovir; Abacavir to Tenofovir; boosted protease inhibitor to unboosted protease inhibitor; any protease inhibitor to Efavirenz or Nevirapine; Efavirenz to Nevirapine; boosted Indinavir or Lopinavir to boosted Darunavir, Atazanavir, fos-Amprenavir, or Saquinavir/Fortovase.
Treated patients who met modified NCEP goals after starting treatment and before the end of observation in the study.
Likelihood ratio χ2 test.
Women, nonwhites, and patients with public insurance or no insurance were treated for hypertension per guidelines more often than men, whites, or patients with private insurance, despite a lower representation of the former patients in the higher CVR categories. Pharmacologic treatment of low HDL-C was more frequent in whites and men but overall treatment rates were low. Management of LDL-C/non-HDL-C, HDL-C, and triglycerides was similar when these groups were compared (
Percentage of patients with condition treated per National Cholesterol Education Program Adult Treatment Panel III (NCEP) guidelines, by sex, the HIV Outpatient Study, January 2002–September 2009. Error bars indicate 95% confidence intervals. Abbreviations: LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol.
Condition Patients Successfully Treated Per NCEP Guidelines, % (95% Confidence Interval)
Men (n = 674)
83.7 (80.7-86.3)
Women (n = 158)
85.4 (79.3-90.3)
Men (n = 956)
6.4 (5.0-8.1)
Women (n = 307)
2.3 (1.0-4.5)
Men (n = 152)
84.2 (77.8-89.4)
Women (n = 15)
80.0 (54.7-94.7)
Men (n =816)
58.0 (54.6-61.3)
Women (n = 220) 72.7 (66.6-78.3)
Percentage of patients with condition treated per National Cholesterol Education Program Adult Treatment Panel III (NCEP) Guidelines, by race/ethnicity, the HIV Outpatient Study, January 2002–September 2009. Error bars represent 95% confidence intervals. Abbreviations: LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol.
Condition Patients Successfully Treated Per NCEP Guidelines, % (95% Confidence Interval)
Non-Hispanic white (n = 525)
83.1 (79.7-86.1)
Nonwhite, non-Hispanic (n = 307)
85.7 (81.4-89.3)
Non-Hispanic white (n = 716)
8.4 (6.5-10.6)
Nonwhite, non-Hispanic (n = 547)
1.5 (0.7-2.8)
Non-Hispanic white (n = 124)
82.3 (74.8-88.2)
Nonwhite, non-Hispanic (n = 43)
88.4 (78.1-95.6)
Non-Hispanic white (n = 512)
56.3 (51.9-60.5)
Nonwhite, non-Hispanic (n = 524) 65.8 (61.7-69.8)
Percentage of patients with condition treated per National Cholesterol Education Program Adult Treatment Panel III (NCEP) Guidelines, by payer, the HIV Outpatient Study, January 2002–September 2009. Error bars represent 95% confidence intervals. Abbreviations: LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol.
Condition Patients Successfully Treated Per NCEP Guidelines, % (95% Confidence Interval)
Private insurance (n = 500)
84.0 (80.6-87.0)
Public/other/no insurance (n = 332)
84.0 (79.8-87.7)
Private insurance (n = 732)
5.5 (4.0-7.3)
Public/other/no insurance (n = 531)
5.3 (3.6-7.4)
Private insurance (n = 106)
84.0 (76.0-90.0)
Public/other/no insurance (n = 61)
83.6 (72.7-91.4)
Private insurance (n = 546)
56.0 (51.9-60.2)
Public/other/no insurance (n = 490) 66.7 (62.5-70.8)
Incidence of cardiovascular events (per 100 person-years) increased with increasing 10yCVR category: 0.38 (14 events) in the low-risk group compared with 0.89 (27 events) in the moderate-risk group, 2.24 (45 events) in the moderately high-risk group, and 2.98 (62 events) in the high-risk group (all
HIV-infected patients are at higher risk and have a higher incidence of cardiovascular events than the general public (
Several studies have demonstrated increases in total cholesterol, LDL-C, HDL-C and triglycerides after initiating ART in antiretroviral-naïve patients (
HDL-C deserves additional attention. Normalizing HDL-C levels is a tertiary goal of the NCEP guidelines (
Although much attention has focused on the effect of ART on elevating triglyceride levels, only 8.3% of patients in our cohort had levels exceeding 500 mg/dL at baseline. Of those patients, 83.8% received triglyceride-lowering therapy and 78.6% of those patients had reductions of triglycerides to less than 500 mg/dL. Elevated triglycerides directly contribute little to increased CVR. Triglycerides exceeding 500 mg/dL interfere with the release of LDL-C from small dense atherogenic particles, resulting in deposition of these particles into atheromatous plaques (
Although other cohort studies of HIV-infected patients have evaluated CVD risk factors, including 10yCVR, few to our knowledge have assessed physician adherence to guidelines for management of these conditions (
Comparing NHANES III data with those from the HOPS cohort, 30.0% versus 41.5% of people had elevated baseline LDL-C. When considering only moderately high-risk and high-risk groups, 68.0% versus 71.5% of patients had high LDL-C, of whom 25.0% versus 83.7% received treatment. Of those patients treated, 39.1% versus 59.3% in the moderately high-risk group and 22.3% versus 33.5% in the high-risk group met NCEP goals. Although comparisons of NHANES III and HOPS data are complicated by differences in study design, population sociodemographic characteristics, laboratory measurements of lipids, and ascertainment of treatment interventions, findings suggest that there is still a significant opportunity for improvement in CVD risk management in HOPS patients.
This study, which used routinely collected medical abstraction data from HIV outpatients, had several limitations. Our inclusion criteria, which required certain baseline examinations, may have enriched our analysis cohort in people whom clinicians considered to be at higher risk of CVD and who had warranted those examinations. Whether the excluded patients were considered lower risk by their physicians or had unrecognized risk factors necessarily limits the overall findings in our study. We also cannot infer reasons for lack of intervention when apparently indicated. Failure to initiate recommended interventions may have resulted from patients deferring or declining therapy, contraindications to these therapies not recorded in HOPS chart abstractions, or clinician oversight. CVD risk factor data were not systematically charted, precluding our ability to assess whether interventions resulted in sustained responses over time. We did not have adequate information on family history of cardiovascular events in first-degree relatives, a major CHD risk factor. The absence of these data would likely lead us to underestimate the true prevalence of CVR in our population. Furthermore, we did not have information on waist size for most patients. We substituted BMI at or above 28.9 kg/m2 for men and at or above 24.9 kg/m2 for women for waist size greater than 40 inches in men and greater than 35 inches in women, when measured, for our estimation of metabolic syndrome, guided by findings from prior studies in HIV cohorts (
Our findings suggest that HOPS participants who comprise a heterogeneous convenience sample of HIV-infected patients seen at 10 HIV specialty clinics in the United States have significantly greater CVD risk than both the general US population and participants in other HIV cohorts. A large percentage of at-risk patients who were eligible for pharmacologic treatment did not receive recommended interventions and did not reach recommended treatment goals. As HIV-infected patients live longer, it is imperative that clinicians minimize CVD risk by optimizing patients’ lipid profiles and blood pressure and helping patients who use tobacco products to quit. Intensified educational efforts are needed and further research is warranted to understand the barriers to initiating recommended interventions and to achieving recommended treatment goals that are unique to HIV-infected patients.
These data were presented previously at the 18th International AIDS Conference, Mexico City, Mexico, August 3–8, 2008 (abstract no. THPE0229). This work supported by the Centers for Disease Control and Prevention (CDC) (contract nos. 200-2001-00133 and 200-2006-18797). Dr Lichtenstein receives research support from ViiV and Abbott; he serves on advisory boards for Bristol-Myers Squibb and ViiV. Dr Tedaldi receives research support from Merck. Dr Buckner serves on an advisory board for Genessee BioMedical and has intellectual property with that company; he serves on the board of directors and has intellectual property with Wireless Medical, Inc, and is on the speaker bureau for Boehringer Ingelheim Pharmaceuticals, Inc.
The HOPS Investigators include the following people and sites: John T. Brooks, Kate Buchacz, Marcus D. Durham, Division of HIV/AIDS Prevention, National Center for HIV, STD, and TB Prevention, CDC, Atlanta, Georgia; Kathleen C. Wood, Rose K. Baker, James T. Richardson, Darlene Hankerson, Rachel Debes, Carl Armon, Bonnie Dean, and Sam Bozzette, Cerner Corporation, Vienna, Virginia; Frank J. Palella, Joan S. Chmiel, Carolyn Studney, Onyinye Enyia, and Tiffany Murphy, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; Kenneth A. Lichtenstein and Cheryl Stewart, National Jewish Medical and Research Center Denver, Colorado; John Hammer, Kenneth S. Greenberg, Barbara Widick, and Joslyn D. Axinn, Rose Medical Center, Denver, Colorado; Bienvenido G. Yangco and Kalliope Halkias, Infectious Disease Research Institute, Tampa, Florida; Doug Ward, Troy Thomas, and Rob Grant, Dupont Circle Physicians Group, Washington, DC; Jack Fuhrer, Linda Ording-Bauer, Rita Kelly, and Jane Esteves, State University of New York, Stony Brook, New York; Ellen M. Tedaldi, Ramona A. Christian, Faye Ruley, Dania Beadle, and Princess Graham, Temple University School of Medicine, Philadelphia, Pennsylvania; Richard M. Novak, Andrea Wendrow, and Renata Smith, University of Illinois at Chicago, Chicago, Illinois; Benjamin Young, Barb Widick, and Joslyn Axinn, APEX Family Medicine, Denver, Colorado.
The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.
To obtain credit, you should first read the journal article. After reading the article, you should be able to answer the following, related, multiple-choice questions. To complete the questions (with a minimum 70% passing score) and earn continuing medical education (CME) credit, please go to
You are seeing a 50-year-old man with a 10-year history of HIV infection. His body mass index is 29 kg/m2, and you are concerned with his cardiovascular risk. Which of the following statements regarding cardiovascular risk factors among patients with HIV is most accurate?
Persons with HIV infection are generally at the same risk of cardiovascular disease as persons without HIV
LDL-C is typically high among patients with HIV who have not received antiretroviral therapy (ART)
ART increases levels of multiple classes of serum lipids
Triglycerides are the most important class of lipids in promoting cardiovascular disease among patients with HIV
What should you consider regarding the distribution of cardiovascular risk among patients in the current study?
More than 90% of participants had 2 or more cardiovascular risk factors
One fifth of participants had a 10-year cardiovascular risk (10yCVR) of over 20%
Hypertriglyceridemia was the most common cardiovascular risk factor
High LDL-C was the most common cardiovascular risk factor
Upon chart review, the patient you are seeing has multiple cardiovascular risk factors. Which of the following risk factors was
High LDL-C
Low HDL-C
Hypertriglyceridemia
Hypertension
The patient has hypertension. Which of the following variables was a risk factor for
Female sex
Nonwhite race
Borderline blood pressure value
Private health insurance
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