Treatment of patients with intermediate cardiovascular risk: Are clinical measures enough?

AIM: Clinical measures of cardiovascular disease risk (CVD) are important tools for establishing therapy to lower CVD risk. Risk assessment has come under criticism because clinical measures can underestimate or overestimate CVD risk. We assessed CVD risk in 252 subjects without evidence of CVD to establish therapy of one or more risk factors from clinical indications. The subjects all had intermediate CVD risk using the Framingham score. RESULTS: Average age was 59.1 years. 23.8% were smokers, 59.1% were hypertensive, 65.1% had hyperlipidemia. BMI was greater than 30 kg/M(2) in 56% and diabetes was present in 43.7%. In this cohort, 86.9% required therapy for hypertension or hyperlipidemia, and this proportion increased to 95.6% when subjects with diabetes were included. Of the remaining 4.4% (11 subjects), 7 reached intermediate risk based on cigarette smoking and 4 based on age >65 years old. Among diabetics, 94/110 had another risk factor and would require statin and ACE or ARB therapy. CONCLUSIONS: Of subjects at intermediate risk for CVD, 98.4% would not require further testing to decide on therapy to lower CVD risk. Although 16 diabetic subjects had no other risk factors, current guidelines suggest that these subjects should be treated to reduce CVD risk.

Reducing cardiovascular disease risk in medically underserved urban and rural communities.

OBJECTIVES: The aim of this study is to evaluate methods for lowering cardiovascular disease (CVD) risk in asymptomatic urban and rural underserved subjects. BACKGROUND: Medically underserved populations are at increased CVD risk, and systems to lower CVD risk are needed. Nurse management (NM) and telemedicine (T) systems may provide low-cost solutions for this care. METHODS: We randomized 465 subjects without overt CVD, with Framingham CVD risk >10% to NM with 4 visits over 1 year, or NM plus T to facilitate weight, blood pressure (BP), and physical activity reporting. The study goal was to reduce CVD risk by 5%. RESULTS: Three hundred eighty-eight subjects completed the study. Cardiovascular disease risk fell by ≥ 5% in 32% of the NM group and 26% of the T group (P, nonsignificant). In hyperlipidemic subjects, total cholesterol decreased (NM -21.9 ± 39.4, T -22.7 ± 41.3 mg/dL) significantly. In subjects with grade II hypertension (systolic BP ≥ 160 mm Hg, 24% of subjects), both NM and T groups had a similar BP response (average study BP: NM 147.4 ± 17.5, T 145.3. ± 18.4, P is nonsignificant), and for those with grade I hypertension (37% of subjects), T had a lower average study BP compared to NM (NM 140.4 ± 16.9, T 134.6 ± 15.0, P = .058). In subjects at high risk (Framingham score ≥ 20%), risk fell 6.0% ± 9.9%; in subjects at intermediate risk (Framingham score ≥ 10, < 20), risk fell 1.3% ± 4.5% (P < .001 compared to high-risk subjects). Medication adherence was similar in both high- and intermediate-risk subjects. CONCLUSIONS: In 2 underserved populations, CVD risk was reduced by a nurse intervention; T did not add to the risk improvement. Reductions in BP and blood lipids occurred in both high- and intermediate-risk subjects with greatest reductions noted in the high-risk subjects. Frequent communication using a nurse intervention contributes to improved CVD risk in asymptomatic, underserved subjects with increased CVD risk. Telemedicine did not change the effectiveness of the nurse intervention.

Cardiovascular disease knowledge and risk perception among underserved individuals at increased risk of cardiovascular disease.

BACKGROUND: Cardiovascular disease (CVD) risk factor awareness and knowledge are believed to be prerequisites for adopting healthy lifestyle behaviors. The purpose of this study was to examine knowledge of CVD risk factors and risk perception among individuals with high CVD risk. METHODS: The sample consisted of inner city and rural medically underserved patients at high risk of CVD. To be eligible for the trial, subjects were required to have a 10% or greater CVD risk on the Framingham risk score. Knowledge of CVD was assessed with a 29-item questionnaire created for this study. Subjects also rated their perception of risk as compared with individuals of their own sex and age. RESULTS: Data were collected from 465 subjects (mean [SD] age, 60.5 [10.1] years; mean [SD] Framingham risk score, 17.3% [9.5%]). The mean (SD) CVD knowledge score was 63.7% (14.6%), and mean (SD) level of risk perception was 0.35 (1.4). Men and women had similar Framingham risk scores, but women perceived their risk to be significantly higher than that of their male counterparts. Women were also more knowledgeable than men about CVD. Urban participants had significantly higher actual risks than did their rural counterparts (18.2% [10.7%] vs 16.0% [8.9%], respectively; P = .01) but were significantly less knowledgeable about heart disease and also perceived their risk to be lower. CONCLUSIONS: These results indicate a low perception of risk and cardiovascular knowledge especially among men and inner city residents. Innovative educational strategies are needed to increase risk factor knowledge and awareness among at-risk individuals.

Cardiovascular disease prevention for underserved patients using the Internet: bridging the digital divide.

For underserved populations, telemedicine can address the high prevalence and suboptimal control of cardiovascular disease (CVD) risk factors. However, Internet access issues may limit the successful application of telemedicine. We tested the hypothesis that computer skills, and not access per se, was the main obstacle to using the Internet for health care. After informed consent, 44 participants with little or no computer experience received 2 hours of training covering 14 basic computer use skills, Internet access, and our telemedicine system. The telemedicine system enables reporting blood pressure, weight, physical activity, cigarette use, provider feedback, personal medication information, and educational information about CVD risk factors. The patient population included 12 males and 32 females. Of this total were 23 African Americans. The average patient age was 60.4 +/- 3 years, and 64% had annual family incomes under 25,000 dollars. Eighty-two percent of the participants averaged 4 or higher (on a scale of 1 to 5) on basic computer skills. Only 11% had an average score below 3. Thirty-seven of 44 participants reported on their health status from a local Internet access site within 10 days. Participants' successful use of the telemedicine system was not correlated with age, gender, education level, or ownership of a computer. Computer skill score had a positive effect on system use. Underserved populations without computer experience or skills and at increased risk for CVD can be educated to use an Internet telemedicine system to communicate health status to their health care providers. Ownership of a computer was not a factor that predicted system use.