High-altitude exposure in patients with cardiovascular disease: risk assessment and practical recommendations.

Because of the development of modern transportation facilities, an ever rising number of individuals including many patients with preexisting diseases visit high-altitude locations (>2500 m). High-altitude exposure triggers a series of physiologic responses intended to maintain an adequate tissue oxygenation. Even in normal subjects, there is enormous interindividual variability in these responses that may be further amplified by environmental factors such as cold temperature, low humidity, exercise, and stress. These adaptive mechanisms, although generally tolerated by most healthy subjects, may induce major problems in patients with preexisting cardiovascular diseases in which the functional reserves are already limited. Preexposure assessment of patients helps to minimize risk and detect contraindications to high-altitude exposure. Moreover, the great variability and nonpredictability of the adaptive response should encourage physicians counseling such patients to adapt a cautionary approach. Here, we will briefly review how high-altitude adjustments may interfere with and aggravate/decompensate preexisting cardiovascular diseases. Moreover, we will provide practical recommendations on how to investigate and counsel patients with cardiovascular disease desiring to travel to high-altitude locations.

High-altitude exposure in patients with cardiovascular disease: risk assessment and practical recommendations

Because of the development of modern transportation facilities, an ever rising number of individuals including many patients with preexisting diseases visit high-altitude locations (>2500 m). High-altitude exposure triggers a series of physiologic responses intended to maintain an adequate tissue oxygenation. Even in normal subjects, there is enormous interindividual variability in these responses that may be further amplified by environmental factors such as cold temperature, low humidity, exercise, and stress. These adaptive mechanisms, although generally tolerated by most healthy subjects, may induce major problems in patients with preexisting cardiovascular diseases in which the functional reserves are already limited. Preexposure assessment of patients helps to minimize risk and detect contraindications to high-altitude exposure. Moreover, the great variability and nonpredictability of the adaptive response should encourage physicians counseling such patients to adapt a cautionary approach. Here, we will briefly review how high-altitude adjustments may interfere with and aggravate/decompensate preexisting cardiovascular diseases. Moreover, we will provide practical recommendations on how to investigate and counsel patients with cardiovascular disease desiring to travel to high-altitude locations.

Who is at low risk for cardiovascular disease? An assessment of different definitions.

BACKGROUND: There is little information regarding the determinants and trends of the prevalence of low cardiovascular risk factor (RF) profile in the general population. The aim of this study was to assess the prevalence and trends of low RF profile in the Swiss population according to different definitions. METHODS: Population-based cross-sectional studies conducted in 1984-1986 (N=3300), 1988-1989 (N=3331), 1992-1993 (N=3133) and 2003-2006 (N=6170) and restricted to age group 35-75 years. Seven different definitions of low RF profile were used to assess determinants, while two definitions were used to assess trends. RESULTS: Prevalence of low RF profile varied between 6.5% (95% confidence interval: 5.9-7.1) and 9.7% (9.0-10.5) depending on the definition used. This prevalence was higher than in other countries. Irrespective of the definition used, the prevalence of low RF profile was higher in women and in physically active participants, and decreased with increasing age or in the presence of a family history of cardiovascular disease. Using one definition, the prevalence of low RF profile increased from 3.8% (3.1-4.5) in 1984-1986 to 6.7% (6.1-7.3) in 2003-2006; using another definition, the results were 5.9% (5.1-6.8) and 9.7% (9.0-10.5), respectively. CONCLUSION: Switzerland is characterized by a high and increasing prevalence of low RF profile within the age group 35 to 75, irrespective of the criteria used. This high prevalence might partly explain the low and decreasing trend in cardiovascular mortality rates.

Who is at low risk for cardiovascular disease?: an assessment of different definitions

Purpose: to assess the prevalence and trends of low cardiovascular risk factor (RF) profile in the Swiss population according to different definitions. Methods: Population-based cross-sectional study of 6170 subjects (3241 women) aged 35-75 years living in Lausanne, Switzerland. Trends were assessed using data from the Swiss MONICA population surveys conducted in 1984-6 (N = 3300), 1988-9 (N = 3331) and 1992-3 (N = 3133) and restricted to the same age group. Seven different definitions of low RF profile were used. Results: prevalence of low RF profile varied between 6.5% (95% confidence interval: 5.9-7.1) and 9.7% (9.0-10.5) depending on the definition used (see fig. 1). The prevalence was inversely related to the number of criteria used and higher than in other countries. Irrespective of the definition used, the prevalence of low RF profile was higher in women and in physically active participants, and decreased with increasing age or in the presence of a family history of cardiovascular disease. The prevalence of low RF profile increased from 3.8% (3.1- 4.5) in 1984-6 to 6.7% (6.1-7.3) in 2003-6; using another definition, the results were 5.9% (5.1-6.8) and 9.7% (9.0-10.5), respectively (see fig. 2). Conclusion: the prevalence of low RF profile varies according to the criteria used; this prevalence is relatively high and increasing in the Swiss population, which might partly explain the low and decreasing trend in cardiovascular mortality rates.

Who is at low risk for cardiovascular disease? An assessment of different definitions

Background: There is little information regarding the determinants and trends of the prevalence of low cardiovascular risk factor (RF) profile in the general population. The aim of this study was to assess the prevalence and trends of low RF profile in the Swiss population according to different definitions. Methods: Population-based cross-sectional studies conducted in 1984-6 (N=3300), 1988-9 (N=3331), 1992-3 (N=3133) and 2003-6 (N=6170) and restricted to age group 35-75 years. Seven different definitions of low RF profile were used to assess determinants, while two definitions were used to assess trends. Results: Prevalence of low RF profile varied between 6.5% (95% confidence interval: 5.9-7.1) and 9.7% (9.0-10.5) depending on the definition used. This prevalence was higher than in other countries. Irrespective of the definition used, the prevalence of low RF profile was higher in women and in physically active participants, and decreased with increasing age or in the presence of a family history of cardiovascular disease. Using one definition, the prevalence of low RF profile increased from 3.8% (3.1-4.5) in 1984-6 to 6.7% (6.1-7.3) in 2003-6; using another definition, the results were 5.9% (5.1-6.8) and 9.7% (9.0-10.5), respectively. Conclusion: Switzerland is characterized by a high and increasing prevalence of low RF profile within the age group 35 to 75, irrespective of the criteria used. This high prevalence might partly e

Who is at low risk for cardiovascular disease? An assessment of different definitions

Purpose: To assess the prevalence and trends of low cardiovascular risk factor (RF) profile in the Swiss population according to different definitions. Methods: Population-based cross-sectional study of 6170 subjects (3241 women) aged 35-75 years living in Lausanne, Switzerland. Trends were assessed using data from the Swiss MONICA population surveys conducted in 1984-6 (N=3300), 1988-9 (N=3331) and 1992-3 (N=3133) and restricted to the same age group. Seven different definitions of low RF profile were used. Results: Prevalence of low RF profile varied between 6.5% (95% confidence interval: 5.9-7.1) and 9.7% (9.0-10.5) depending on the definition used. The prevalence was inversely related to the number of criteria used and higher than in other countries. Irrespective of the definition used, the prevalence of low RF profile was higher in women and in physically active participants, and decreased with increasing age or in the presence of a family history of cardiovascular disease (table). The prevalence of low RF profile increased from 3.8% (3.1-4.5) in 1984-6 to 6.7% (6.1-7.3) in 2003-6; using another definition, the results were 5.9% (5.1-6.8) and 9.7% (9.0-10.5), respectively. Conclusion: The prevalence of low RF profile varies according to the criteria used; this prevalence is relatively high and increasing in the Swiss population, which might partly explain the low and decreasing trend in cardiovascular mortality rates.

Ankle-Brachial Index: Nurses Strategy To Cardiovascular Disease Risk Factors Identification

Elevated risk of fatal and non-fatal cardiovascular events is associated with high prevalence of peripheral arterial disease, with assessment through the ankle-brachial index (ABI). This study aimed to demonstrate that the ABI and the Edinburgh Claudication Questionnaire are tools to be used by nurses in prevention and/or treatment of CVD (cardiovascular disease). A cross-sectional study was carried out with patients from a cardiovascular clinic. The Edinburgh Claudication Questionnaire was applied and the ABI was measured with the formula (ABI= Blood Pressure Ankle/Blood Pressure Brachial). A total of 115 patients were included, most were females (57.4%), aged 60.6 ± 12.5 years. The most prevalent risk factors were hypertension (64.3%), physical inactivity (48.7%) and family history (58.3%). The study showed that abnormal ABI was frequently found and 42.6% of the patients with abnormal ABI showed intermittent claudication. The method to evaluate the ABI associated to the Edinburg Claudication Questionnaire, can be easily used by nurses in the clinical evaluation of asymptomatic and symptomatic CVD patients.

Randomized trial of a computerized coronary heart disease risk assessment tool in HIV-infected patients receiving combination antiretroviral therapy.

BACKGROUND: Exposure to combination antiretroviral therapy (cART) can lead to important metabolic changes and increased risk of coronary heart disease (CHD). Computerized clinical decision support systems have been advocated to improve the management of patients at risk for CHD but it is unclear whether such systems reduce patients' risk for CHD. METHODS: We conducted a cluster trial within the Swiss HIV Cohort Study (SHCS) of HIV-infected patients, aged 18 years or older, not pregnant and receiving cART for >3 months. We randomized 165 physicians to either guidelines for CHD risk factor management alone or guidelines plus CHD risk profiles. Risk profiles included the Framingham risk score, CHD drug prescriptions and CHD events based on biannual assessments, and were continuously updated by the SHCS data centre and integrated into patient charts by study nurses. Outcome measures were total cholesterol, systolic and diastolic blood pressure and Framingham risk score. RESULTS: A total of 3,266 patients (80% of those eligible) had a final assessment of the primary outcome at least 12 months after the start of the trial. Mean (95% confidence interval) patient differences where physicians received CHD risk profiles and guidelines, rather than guidelines alone, were total cholesterol -0.02 mmol/l (-0.09-0.06), systolic blood pressure -0.4 mmHg (-1.6-0.8), diastolic blood pressure -0.4 mmHg (-1.5-0.7) and Framingham 10-year risk score -0.2% (-0.5-0.1). CONCLUSIONS: Systemic computerized routine provision of CHD risk profiles in addition to guidelines does not significantly improve risk factors for CHD in patients on cART.

Relationship between changes in insulin sensitivity and associated cardiovascular disease risk factors in thiazolidinedione-treated, insulin-resistant, nondiabetic individuals: pioglitazone versus rosiglitazone

This study compared the effects of administering rosiglitazone (RSG) vs pioglitazone (PIO) oil cardiovascular disease risk factors in insulin-resistant. nondiabetic individuals with no apparent disease. Twenty-two nondiabetic, apparently healthy individuals, classified as being insulin resistant oil the basis of a steady-state plasma glucose concentration of at least 10 mmol/L during the insulin suppression test, were treated with either RSG or 1110 for 3 months. Measurements were made before and after drug treatment of weight; blood pressure; fasting and daylong glucose, insulin, and free fatty acid (FFA) levels; and lipid and lipoprotein concentrations. Insulin sensitivity (steady-state plasma glucose concentration) significantly improved in both treatment groups, associated with significant decreases in daylong plasma concentrations of glucose, insulin, and FFA. Diastolic blood pressure fell somewhat in both groups, and this change reached significance in those receiving PIO. Improvement in lipid metabolism was confined to the PIO-treated group, signified by a significant decrease in plasma triglyceride concentration, whereas triglyceride concentration did not decline in the RSG-treated group, and these individuals also had increases in total (P = .047) and low-density lipoprotein cholesterol (P = .07). In conclusion, RSG and PIO appear to have comparable abilities to improve insulin sensitivity and lower daylong glucose, insulin, and FFA concentrations in nondiabetic, insulin-resistant individuals. However, despite these similarities, their effects on lipoprotein metabolism seem to be quite different, with beneficial effects confined to PIO-treated individuals. (C) 2009 Elsevier Inc. All rights reserved.

Lipid profile of nutrition students and its association with cardiovascular disease risk factors

OBJECTIVE: To describe the lipid profile and to verify its relationship with cardiovascular disease risk factors in students at a public university in São Paulo. METHODS: After obtaining clinical, anthropomorphic, and lipid profile data from 118 students, variables of the lipid profile were related to other risk factors. RESULTS: The mean age of the students was 20.3 years (SD=1.5). The risk of cardiovascular disease was characterized by a positive family history of ischemic heart disease in 38.9%; sedentariness in 35.6%; limiting and increased total and LDL-C cholesterol levels in 17.7% and 10.2%, respectively; decreased HDL-C levels in 11.1%; increased triglyceride levels in 11.1%; body mass index >25 in 8.5%, and smoking in 6.7% of the subjects. Students' diet was found to be inadequate regarding protein, total fat, saturated fat, sodium, and fiber contents. A statistically significant association between cholesterol and contraceptive use, between HDL-C and contraceptive use, age and percent body fat, and triglycerides and percent lean weight was observed. CONCLUSION: A high prevalence of some risk factors of cardiovascular disease as well as the association between these factors with altered lipid profiles was observed in the young population studied.

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.

Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or  ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

Managing tobacco use: the neglected cardiovascular disease risk factor.

Cigarette smoking is a major risk factor for cardiovascular disease (CVD) and the leading avoidable cause of death worldwide. Exposure to secondhand smoke (SHS) increases the risk of CVD among non-smokers. Smoking cessation benefits all smokers, regardless of age or amount smoked. The excess risk of CVD is rapidly reversible, and stopping smoking after a myocardial infarction reduces an individual's risk of CVD mortality by 36% over 2 years. Smoking cessation is a key component of primary and secondary CVD prevention strategies, but tobacco use often receives less attention from cardiologists than other risk factors, despite the availability of proven treatments that improve smoking cessation rates. Both psychosocial counselling and pharmacotherapy are effective methods to help smokers quit, but they are most effective when used together. The first-line medications licensed to aid smoking cessation, nicotine replacement therapy, bupropion and varenicline, are effective in and appropriate for patients with CVD. An evidence-based approach for physicians is to routinely ask all patients about smoking status and SHS exposure, advise all smokers to quit and all patients to adopt smoke-free policies for their home and car, and offer all smokers in the office or hospital brief counselling, smoking cessation pharmacotherapy, and referral to local programmes where psychosocial support can be sustained in person or by telephone. Like other chronic diseases, tobacco use requires a long-term management strategy. It deserves to be managed as intensively as other CVD risk factors.

Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk.

ABSTRACT: BACKGROUND: The prevalence of obesity has increased in societies of all socio-cultural backgrounds. To date, guidelines set forward to prevent obesity have universally emphasized optimal levels of physical activity. However there are few empirical data to support the assertion that low levels of energy expenditure in activity is a causal factor in the current obesity epidemic are very limited. METHODS: The Modeling the Epidemiologic Transition Study (METS) is a cohort study designed to assess the association between physical activity levels and relative weight, weight gain and diabetes and cardiovascular disease risk in five population-based samples at different stages of economic development. Twenty-five hundred young adults, ages 25-45, were enrolled in the study; 500 from sites in Ghana, South Africa, Seychelles, Jamaica and the United States. At baseline, physical activity levels were assessed using accelerometry and a questionnaire in all participants and by doubly labeled water in a subsample of 75 per site. We assessed dietary intake using two separate 24-h recalls, body composition using bioelectrical impedance analysis, and health history, social and economic indicators by questionnaire. Blood pressure was measured and blood samples collected for measurement of lipids, glucose, insulin and adipokines. Full examination including physical activity using accelerometry, anthropometric data and fasting glucose will take place at 12 and 24 months. The distribution of the main variables and the associations between physical activity, independent of energy intake, glucose metabolism and anthropometric measures will be assessed using cross-section and longitudinal analysis within and between sites. DISCUSSION: METS will provide insight on the relative contribution of physical activity and diet to excess weight, age-related weight gain and incident glucose impairment in five populations' samples of young adults at different stages of economic development. These data should be useful for the development of empirically-based public health policy aimed at the prevention of obesity and associated chronic diseases.