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Journal of General Internal Medicine logoLink to Journal of General Internal Medicine
. 2006 Apr;21(4):315–319. doi: 10.1111/j.1525-1497.2006.00351.x

Indications for and Utilization of ACE Inhibitors in Older Individuals with Diabetes

Findings from the National Health and Nutrition Examination Survey 1999 to 2002

Allison B Rosen 1,2,3
PMCID: PMC1484715  PMID: 16686805

Abstract

BACKGROUND

Angiotensin-converting enzyme inhibitors (ACE) and angiotensin receptor blockers (ARB) improve cardiovascular outcomes in high-risk individuals with diabetes. Despite the marked benefit, it is unknown what percentage of patients with diabetes would benefit from and what percentage actually receive this preventive therapy.

OBJECTIVES

To examine the proportion of older diabetic patients with indications for ACE or ARB (ACE/ARB). To generate national estimates of ACE/ARB use.

DESIGN AND PARTICIPANTS

Survey of 742 individuals≥55 years (representing 8.02 million U.S. adults) self-reporting diabetes in the 1999 to 2002 National Health and Nutrition Examination Survey.

MEASUREMENTS

Prevalence of guideline indications (albuminuria, cardiovascular disease, hypertension) and other cardiac risk factors (hyperlipidemia, smoking) with potential benefit from ACE/ARB. Prevalence of ACE/ARB use overall and by clinical indication.

RESULTS

Ninety-two percent had guideline indications for ACE/ARB. Including additional cardiac risk factors, the entire (100%) U.S. noninstitutionalized older population with diabetes had indications for ACE/ARB. Overall, 43% of the population received ACE/ARB. Hypertension was associated with higher rates of ACE/ARB use, while albuminuria and cardiovascular disease were not. As the number of indications increased, rates of use increased, however, the maximum prevalence of use was only 53% in individuals with 4 or more indications for ACE/ARB.

CONCLUSIONS

ACE/ARB is indicated in virtually all older individuals with diabetes; yet, national rates of use are disturbingly low and key risk factors (albuminuria and cardiovascular disease) are being missed. To improve quality of diabetes care nationally, use of ACE/ARB therapy by ALL older diabetics may be a desirable addition to diabetes performance measurement sets.

Keywords: diabetes, ACE inhibitors, angiotensin receptor blockers, secondary prevention, renal disease, cardiovascular disease, quality of care, performance measures


The worsening “epidemic” of diabetes in the United States1,2 makes the use of effective secondary prevention critical to reducing excess morbidity, mortality, and costs. The elderly bear a disproportionate burden of diabetes with up to 18% of older individuals having diagnosed disease.1,3,4 Angiotensin-converting enzyme inhibitors (ACE) and angiotensin receptor blockers (ARB) have been shown to prevent both cardiac and renal end-organ damage in diabetes.521 Despite the marked morbidity and mortality benefits of these agents, no nationally representative studies have examined what percentage of older patients with diabetes would benefit from and what percentage actually receive this important preventive therapy. Therefore, the objectives of this study were to examine the proportion of older diabetic patients with clinical indications for ACE or ARB (ACE/ARB) therapy, and to generate national estimates of ACE/ARB use.

METHODS

Study Sample

The National Health and Nutrition Examination Survey (NHANES), a nationally representative cross-sectional survey of the U.S. noninstitutionalized civilian population, uses a complex, multistage, probability sample design, with oversampling of the elderly to allow for improved prevalence estimation of health indicators in this group. Beginning in 1999, NHANES became a continuous survey with data released in 2-year increments. The current study is based on the first 4 years (1999 to 2002) of the continuous NHANES.

We selected all respondents aged 55 years or older who responded “yes” to the question, “other than during pregnancy, have you ever been told by a doctor or health professional that you have diabetes or sugar diabetes?” Age 55 was used as a cutoff because recent trials of the cardiovascular benefits of ACE inhibitors limited inclusion to individuals with diabetes≥55 years.13,14

Indications for ACE/ARB Therapy

Several national guidelines recommend ACE inhibitors or ARBs for individuals with diabetes and select additional risk factors, including albuminuria, cardiovascular disease, congestive heart failure, and hypertension.22,23,24,25 We grouped individuals with any one (or more) of these risk factors as having “guideline indications” for ACE/ARB. In addition to guideline indications, we explored two additional cardiac risk factors, hyperlipidemia and smoking, both of which have been used as inclusion criteria in trials demonstrating cardiovascular benefit from ACE or ARB13,14 in individuals with diabetes. Analyses were performed with and without the inclusion of these two additional risk factors as indications for ACE/ARB.

Albuminuria

Albuminuria (including microalbuminuria or macroalbuminuria) was considered present if a respondent's urinary albumin to creatinine ratio was≥30 mg/g or urine albumin concentration was≥30 mg/L on a random, untimed urine specimen obtained at the NHANES Mobile Examination Center.

Cardiovascular Disease

Cardiovascular disease was considered present if a respondent self-reported a prior physician diagnosis of congestive heart failure, coronary artery disease, angina pectoris, myocardial infarction, or stroke.

Hypertension

Individuals were classified as hypertensive if they reported a prior physician diagnosis of hypertension, or had a mean systolic blood pressure≥130 mmHg or a mean diastolic blood pressure≥85 mmHg on examination. Over 90% of respondents had 3 or more measurements for averaging, and the 130/85 threshold was based on JNC VI recommendations for individuals with diabetes.26

Other Indications

Smoking status was based on self-reported current or past smoking history. Hyperlipidemia was considered present if a respondent self-reported a prior physician diagnosis of high cholesterol or they had an LDL cholesterol >130 mg/dL on fasting laboratory measurement.

Prescription Medications in NHANES

National Health and Nutrition Examination Survey respondents were asked during their in-home interview to present the containers of all prescription medications taken in the past month and to report any additional medications used for which containers were not available. All medication names were entered (during the home interview) by a trained interviewer into a handheld computer and matched to an annually updated comprehensive database of all prescription (and some nonprescription) drugs available in the U.S. market. Over 92% of medications had an exact match during the home interview. The remaining 8% of medications were manually reviewed later at the National Center for Health Statistics (NCHS). NCHS quality control activities, such as translation of medication names into English, correction of transcription errors, and removal of nonprescription dietary supplements from the prescription medication files resulted in less than 1% of medications listed as unknown.27,28

Respondents could have up to 20 medications recorded although none had all 20 medication fields filled. While NHANES uses the Federal Drug Administration's (FDA) National Drug Code (NDC) database to map medications to therapeutic classes, the FDA withdrew its support of this system (pending review and update) in the beginning of 2005. Therefore, for the current study, the first author (a trained physician researcher) reviewed the names of all medications used by this study's sample to identify ACE inhibitors and ARBs. A second review was performed by the same author 1 week later, and ACE/ARB use was successfully categorized in 99% of cases. The one discrepant record was reviewed and corrected by another physician.

Use of ACE/ARB Therapy

An individual was classified as on therapy if any of their medications included an ACE or ARB. Contraindications to treatment were considered rare because most individuals not tolerating an ACE can receive an ARB with a low likelihood of side effects.29,30

Statistical Analyses

We estimated the prevalence of risk factors that were indications for ACE/ARB. Within the overall population and in subgroups with differing clinical indications, we estimated national rates of ACE/ARB use. Comparisons were assessed using unpaired t-tests for continuous variables and Wald χ2 tests for categorical variables. Logistic regression was used to determine the predictors of ACE/ARB use. Potential predictive variables included age, gender, race (non-Hispanic white, non-Hispanic black, Hispanic, other), and the presence or absence of each of the clinical indications for ACE/ARB. Bivariate odds ratios (ORs) for being on an ACE/ARB were calculated for each predictive variable. Multivariable logistic regression was performed using stepwise selection with the 3 guideline indications for ACE/ARB (hypertension, albuminuria, cardiovascular disease) kept in the model regardless of statistical significance to reflect their clinical significance as indicators to initiate ACE/ARB.

United States population estimates were obtained using NHANES sampling weights that account for the unequal probabilities of selection, nonresponse, and oversampling; standard errors were estimated using Taylor series linearization as recommended for the NHANES 1999 to 2002 survey data.31 Analyses were performed using SAS-callable SUDAAN, version 8.0 (Research Triangle Institute, NC).

RESULTS

The study sample included 742 respondents, representing a population of 8.02 million U.S. adults 55 years or older with diabetes. Fifty-seven percent were between 55 and 69 years, 38% between 70 and 84 years, and 5% over 85 years. Half (54%) were female, and 28% comprised ethnic minority groups: 13% Hispanic, 15% non-Hispanic black.

Ninety-two percent had at least one guideline indication for ACE/ARB use. Including other cardiac risk factors as indications, 100% had an indication for ACE/ARB. Fourteen percent of the population had one indication, 37% 2 indications, 33% 3 indications, and 16% had 4 or more indications for ACE/ARB. The prevalence of each risk factor is given in Table 1.

Table 1.

Indications for and Treatment with ACE/ARB

Risk Factors Prevalence (%) Rates of ACE/ARB Use for Each Indication

With Indication (%) Without Indication (%) OR (95% CI)
Guideline-based*
 Cardiovascular disease 34.5 50.5 39.8 1.54 (0.95, 2.50)
 Albuminuria 41.1 46.8 43.2 1.08 (0.68, 1.71)
 Hypertension 82.8 48.1 21.0 3.41 (1.81, 6.41)
Other cardiovascular*
 Hyperlipidemia 72.9 43.6 43.2 1.01 (0.60, 1.71)
 Current smoker 24.0 43.2 43.5 0.84 (0.45, 1.56)
Number of indications
 One 15.9 35.7
 Two 39.2 38.9
 Three 30.4 51.6
 Four or more 12.8 53.4
*

Risk factors are not mutually exclusive.

P=.009 for trend.

ACE,angiotensin-converting enzyme; ARB, angiotensin receptor blockers; OR, odds ratio; CI, confidence interval.

Overall, 43% of the population was on an ACE or ARB. As the number of indications for ACE/ARB increased from 0 to 5, ACE/ARB use increased from 0% to 53%, respectively (P =.009 for trend). Rates of ACE/ARB use associated with each indication are reported in Table 1. On bivariate analyses, none of the demographic characteristics were associated with ACE/ARB use, and the only clinical indication significantly associated with increased ACE/ARB use was the presence of hypertension (Table 1). On multivariable modeling, hypertension remained the only significant predictor of increased ACE/ARB use (adjusted OR 3.36, 95% confidence interval [CI] 1.59, 7.12). Pre-existing cardiovascular disease tended to be associated with higher rates of ACE/ARB use (adjusted OR 1.55; 95% CI 0.98, 2.46), while albuminuria was not associated with ACE/ARB use (adjusted OR 1.22; 95% CI 0.79, 1.89).

DISCUSSION

In a national sample of older individuals with diabetes, between 92% and 100% of patients had important clinical indications for ACE/ARB. Among these patients, ACE/ARB use was low, with an overall rate of 43%. While ACE/ARB use increased with increasing number of clinical indications, the highest rates of use (53% in individuals with diabetes and 4 or more additional indications for treatment) remained disturbingly low. Further, in patients with risk factors indicating clear mortality benefit from ACE/ARB, while hypertension was associated with higher rates of ACE/ARB use, albuminuria and preexisting cardiovascular disease were not, suggesting a major quality problem.

To our knowledge, this is the first nationally representative study to ask what proportion of older patients with diabetes would benefit from renin-angiotensin system blockade. As in past studies, we found that cardiovascular disease risk factors (including renal dysfunction) are highly prevalent in individuals with diabetes.32 Expanding on prior studies, we document that nationally, the vast majority (92% to 100%) of older individuals with diabetes have clinical indications for ACE/ARB therapy.

This is also the first study to examine national rates of ACE/ARB use with data collected after guidelines started recommending ACE or ARB22,23,24 for high-risk clinical subgroups with diabetes. In NHANES III, 13% of diabetics≥40 years were on an ACE/ARB33; however, these data were collected between 1988 and 1994, a time before much of the evidence for ACE/ARB in diabetes existed. Smaller single-institution or state-based studies found rates of use ranging from 40% to 45% depending on the setting and clinical risk of the population.34,35,36,37 One recent study in a large managed care plan found rates of ACE/ARB use between 54% and 74% in diabetic patients with hypertension or albuminuria, suggesting that it is possible to increase rates of use.38 In contrast to the current community-based study, that study lacked information on preexisting cardiovascular disease (a key indication for ACE/ARB) and was limited to an employed, fully insured population enrolled in a health plan that had quality improvement tools in place specifically designed to increase ACE/ARB use in enrollees with diabetes. In the current study, despite nearly universal indication for treatment, only 43% of older diabetics received ACE/ARB and, in the highest risk groups (those with 4 or more indications), the likelihood of being on an ACE/ARB (53%) was not much higher than the toss of a coin.

A critical finding of the current study is the absence of significantly higher rates of ACE/ARB use in the setting of albuminuria or preexisting cardiovascular disease, both of which markedly increase cardiovascular risk in individuals with diabetes.21,3942 Despite clear guideline indications for ACE/ARB in diabetic patients with albuminuria or cardiovascular disease,2225 our results suggest that the presence of these risk factors may not be prompting physicians to initiate ACE/ARB therapy, indicating an important quality gap.

These findings may have important implications for improving the quality of diabetes care in the United States. Indications for therapy are highly prevalent (nearly universal), rates of receipt of therapy are disturbingly low, and key indications for ACE/ARB are being missed. Our current approach to determining candidacy for ACE/ARB therapy is to measure risk factors and treat accordingly. However, we have suboptimal rates of screening for some risk factors (only 41% of diabetic patients enrolled in HEDIS-reporting health plans in 2000 were screened for microalbuminuria43) and, in turn, suboptimal rates of appropriate treatment when risk factors are identified. If we are underdiagnosing risk factors and then undertreating those with diagnosed risk factors, the effectively treated population is just a fraction of the population that would benefit from treatment. Given that indications for ACE/ARB therapy are so prevalent in this population, it may be time to simplify our treatment algorithms by expanding indications for ACE/ARB to include all older individuals with diabetes regardless of their measured risk factors.

This study had some limitations. The NHANES 1999 to 2002 survey had a small sample size, which likely contributed to the lack of cardiovascular disease as a statistically significant predictor of ACE/ARB use. However, even if sample sizes increased (CIs tightened) such that we found a “statistically significant” difference in ACE/ARB use among those with and without cardiovascular disease, the quality problem remains unchanged: only half of diabetic patients with cardiovascular disease are on this life-saving therapy. In large part, our measures of risk factors and ACE/ARB use were based on self-report. Because we were unable to ascertain histories of adverse reactions to ACE, we could not exclude all individuals with contraindications to treatment. However, we would expect any bias to be small because our end point was a composite of ACE or ARB use and absolute contraindications to ARBs in those not tolerating ACE are rare (angioedema or refractory hyperkalemia occurs in <2%).44,45 Finally, the current study explored the prevalence of indications for and treatment with ACE/ARB during a time period (1999 to 2002) in which the evidence base for their use in diabetes was still being developed. While the current evidence base is substantially stronger, guidelines for ACE use in diabetic patients with hypertension (1997), albuminuria (1995), and congestive heart failure (1994) were in place well before this survey was initiated.2224

CONCLUSION

Renin-angiotensin system blockade in individuals with diabetes is associated with decreases in cardiovascular events and renal failure. This analysis demonstrates that in 1999 to 2002, the entire (100%) noninstitutionalized U.S. population over the age of 55 with diagnosed diabetes would have benefited from ACE/ARB; yet, only 43% received it. Despite guideline indications, it appears that neither albuminuria nor cardiovascular disease are prompting increased rates of ACE/ARB use. To further increase ACE/ARB use and improve cardiovascular outcomes, it may be desirable to create a measure of ACE/ARB use for ALL older individuals with diabetes for inclusion in future diabetes performance measurement sets.

Acknowledgments

The author would like to thank Roger Davis, PhD, for statistical advice, as well as Norman Hollenberg, MD, and Rodney Hayward, MD, for their thoughtful comments on an earlier version of this manuscript.

Funding and Financial Support: At the initiation of this work, Dr. Rosen was supported by an AHRQ Health Services Research Fellowship at the Harvard School of Public Health, grant number 5 T32 HS00020-16.

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