Ankle brachial pressure index usefulness as predictor factor for coronary heart disease in diabetic patients

Association between ankle-brachial blood pressure index and erectile dysfunction in US adults: a large population-based cross-sectional study

Background

Erectile dysfunction (ED) is a very common condition among adult men and its prevalence increases with age. The ankle-brachial blood pressure index (ABPI) is a noninvasive tool used to assess peripheral vascular disease (PAD) and vascular stiffness. However, the association between ABPI and ED is unclear. We aimed to explore the association between ABPI and ED in the US population.

Methods

Our study used data from two separate National Health and Nutrition Examination Survey (NHANES) datasets (2001-2002 and 2003-2004). Survey-weighted logistic regression models were used to explore the association between ABPI as a continuous variable and quartiles with ED. We further assessed the association between ABPI and ED using restricted cubic regression while selecting ABPI thresholds using two-piecewise Cox regression models. In addition, we performed subgroup analyses stratified by BMI, race, marital status, diabetes, and hypertension.

Main outcome measure

ABPI was calculated by dividing the mean systolic blood pressure at the ankle by the mean systolic blood pressure at the arm.

Results

Finally, 2089 participants were enrolled in this study, including 750 (35.90%) ED patients and 1339 (64.10%) participants without ED. After adjusting for all confounding covariates, logistic regression analyses showed a significant association between ABPI and ED (OR=0.19; 95% CI, 0.06-0.56, P=0.01); with ABPI as a categorical variable, compared with the lowest quartile, the OR and 95% CI for the second quartile were 0.58 (0.34-0.97; P = 0.04).Besides, splines indicated that there was an L-shaped relationship between ABPI levels and the risk of ED. Piecewise Cox regression demonstrated the inflection point at 1.14, below which the OR for ED was 0.06 (0.02-0.20; P < 0.001), and above which the OR was 2.79 (0.17-4.53; P = 0.469).

Conclusion

In our study, lower ABPI was independently associated with ED risk. In addition, the lowest ABPI level associated with ED risk was 1.14, below this level, lower ABPI was associated with higher ED risk.

Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis

BACKGROUND

Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D).

METHODS

We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies.

RESULTS

Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort.

CONCLUSIONS

Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Association between ankle-brachial blood pressure index with all-cause and cardiovascular mortality in adults without arterial stiffness

PURPOSE

To explore the relationship between ankle-brachial blood pressure index (ABPI) and all-cause or cardiovascular mortality in adults without arterial stiffness.

METHODS

A total of 6784 participants without arterial stiffness were enrolled from National Health and Nutrition Examination Survey 1999-2004. The hazard ratio (HR) and 95% confidence interval (CI) of ABPI associating with the risk of all-cause and cardiovascular mortality was calculated by Cox proportional regression models adjusted for demographic and traditional risk factors. Dose-response relationship was explored with restricted cubic spines.

RESULTS

After an average follow-up of 12.1 years, 1844 all-cause deaths and 299 cardiovascular deaths occurred. Compared with the lowest ABPI quartile, the second quartile was associated with the lowest risk of all-cause mortality (HR 0.89, 95%CI 0.79-0.98; p = 0.036) and cardiovascular mortality (HR 0.75, 95%CI 0.56-0.98; p = 0.048). Besides, dose-response analysis revealed that ABPI was nonlinearly correlated to all-cause mortality (p for nonlinearity < 0.001) and linearly correlated to cardiovascular mortality (p for nonlinearity = 0.459).

CONCLUSIONS

The relationship between ABPI and all-cause and cardiovascular mortality followed a L-shape curve. A lower ABPI was independently associated with an increased risk of all-cause and cardiovascular mortality in adults without arterial stiffness.

Precision Prognostics for Cardiovascular Disease in Type 2 Diabetes: A Systematic Review and Meta-analysis

Background Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with type 2 diabetes (T2D). Methods We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies. Results Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-terminal pro b-type natriuretic peptide (NT-proBNP) (high-evidence), troponin-T (TnT) (moderate-evidence), triglyceride-glucose (TyG) index (moderate-evidence), Genetic Risk Score for Coronary Heart Disease (GRS-CHD) (moderate-evidence); moderate predictive utility for coronary computed tomography angiography (low-evidence), single-photon emission computed tomography (low-evidence), pulse wave velocity (moderate-evidence); and low predictive utility for C-reactive protein (moderate-evidence), coronary artery calcium score (low-evidence), galectin-3 (low-evidence), troponin-I (low-evidence), carotid plaque (low-evidence), and growth differentiation factor-15 (low-evidence). Risk scores showed modest discrimination, with lower performance in populations different from the original development cohort. Conclusions Despite high interest in this topic, very few studies conducted rigorous analyses to demonstrate incremental predictive utility beyond established CVD risk factors for T2D. The most promising markers identified were NT-proBNP, TnT, TyG and GRS-CHD, with the highest strength of evidence for NT-proBNP. Further research is needed to determine their clinical utility in risk stratification and management of CVD in T2D.

Associations Between Systolic Interarm Differences in Blood Pressure and Cardiovascular Disease Outcomes and Mortality: Individual Participant Data Meta-Analysis, Development and Validation of a Prognostic Algorithm: The INTERPRESS-IPD Collaboration

Systolic interarm differences in blood pressure have been associated with all-cause mortality and cardiovascular disease. We undertook individual participant data meta-analyses to (1) quantify independent associations of systolic interarm difference with mortality and cardiovascular events; (2) develop and validate prognostic models incorporating interarm difference, and (3) determine whether interarm difference remains associated with risk after adjustment for common cardiovascular risk scores. We searched for studies recording bilateral blood pressure and outcomes, established agreements with collaborating authors, and created a single international dataset: the Inter-arm Blood Pressure Difference - Individual Participant Data (INTERPRESS-IPD) Collaboration. Data were merged from 24 studies (53 827 participants). Systolic interarm difference was associated with all-cause and cardiovascular mortality: continuous hazard ratios 1.05 (95% CI, 1.02-1.08) and 1.06 (95% CI, 1.02-1.11), respectively, per 5 mm Hg systolic interarm difference. Hazard ratios for all-cause mortality increased with interarm difference magnitude from a ≥5 mm Hg threshold (hazard ratio, 1.07 [95% CI, 1.01-1.14]). Systolic interarm differences per 5 mm Hg were associated with cardiovascular events in people without preexisting disease, after adjustment for Atherosclerotic Cardiovascular Disease (hazard ratio, 1.04 [95% CI, 1.00-1.08]), Framingham (hazard ratio, 1.04 [95% CI, 1.01-1.08]), or QRISK cardiovascular disease risk algorithm version 2 (QRISK2) (hazard ratio, 1.12 [95% CI, 1.06-1.18]) cardiovascular risk scores. Our findings confirm that systolic interarm difference is associated with increased all-cause mortality, cardiovascular mortality, and cardiovascular events. Blood pressure should be measured in both arms during cardiovascular assessment. A systolic interarm difference of 10 mm Hg is proposed as the upper limit of normal. Registration: URL: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42015031227.

A correlation study between ankle brachial pressure index and the severity of coronary artery disease

Previous studies have shown that there was a correlation between low ankle brachial pressure index (ABPI) and the presence of the coronary artery disease (CAD). However, few studies have investigated the correlation between ABPI and the severity of CAD by using a scoring system. The authors aimed to investigate this correlation by using ABPI and CAD diagnosed by coronary angiography (CAG). A total of 213 consecutive patients awaiting CAG in Maharaj Nakorn Chiang Mai Hospital from July 2009 to November 2009 were enrolled in this study. The ABPI was measured before CAG. The severity of CAD was graded on CAG by using SYNTAX scores. The authors found a significantly negative correlation between ABPI and SYNTAX scores (correlation coefficient = -.172, P = .01). The authors concluded that ABPI appeared to correlate negatively with the severity of CAD in the Thai population.

Peripheral artery disease assessed by ankle-brachial index in patients with established cardiovascular disease or at least one risk factor for atherothrombosis--CAREFUL study: a national, multi-center, cross-sectional observational study

BACKGROUND

To investigate the presence of peripheral artery disease (PAD) via the ankle brachial index (ABI) in patients with known cardiovascular and/or cerebrovascular diseases or with at least one risk factor for atherothrombosis.

METHODS

Patients with a history of atherothrombotic events, or aged 50-69 years with at least one cardiovascular risk factor, or > = 70 years of age were included in this multicenter, cross-sectional, non-interventional study (DIREGL04074). Demographics, medical history, physical examination findings, and physician awareness of PAD were analyzed. The number of patients with low ABI (< = 0.90) was analyzed.

RESULTS

A total of 530 patients (mean age, 63.4 ± 8.7 years; 50.2% female) were enrolled. Hypertension and dyslipidemia were present in 88.7% and 65.5% of patients, respectively. PAD-related symptoms were evident in about one-third of the patients, and at least one of the pedal pulses was negative in 6.5% of patients. The frequency of low ABI was 20.0% in the whole study population and 30% for patients older than 70 years. Older age, greater number of total risk factors, and presence of PAD-related physical findings were associated with increased likelihood of low ABI (p < 0.001). There was no gender difference in the prevalence of low ABI, PAD symptoms, or total number of risk factors. Exercise (33.6%) was the most common non-pharmacological option recommended by physicians, and acetylsalicylic acid (ASA) (45.4%) was the most frequently prescribed medication for PAD.

CONCLUSION

Our results indicate that advanced age, greater number of total risk factors and presence of PAD-related physical findings were associated with increased likelihood of low ABI. These findings are similar to those reported in similar studies of different populations, and document a fairly high prevalence of PAD in a Mediterranean country.

Ankle brachial index as a prognostic tool for women with coronary artery disease

BACKGROUND AND OBJECTIVES

Coronary artery disease (CAD) is the leading cause of death among women both nationally and internationally. Despite increased knowledge regarding CAD in women, early diagnosis remains a difficult clinical task. A correlation between peripheral arterial disease (PAD) and CAD has been noted in previous research; however, these studies were either retrospective or did not focus on women. This research investigates the correlation of ankle brachial index (ABI), measurements used to diagnose PAD, and presence of CAD in women, in an effort to determine the predictive value of ABI specifically in women.

SUBJECTS AND METHODS

A prospective correlation design was used to study women (n = 30) who were undergoing a diagnostic cardiac catheterization. Ankle brachial index readings were obtained prior to the catheterization procedure. Catheterization findings were grouped according to absence of CAD or presence of 1-vessel or multivessel CAD and coupled with each woman's ABI and recorded cardiovascular risk factors.

RESULTS

Peripheral arterial disease (based on ABI of <0.90 mm Hg) was found in 13.3% of the women. A significant correlation was found between ABI of less than 0.90 mm Hg and increasing age (t = -2.30, P =.029). Coronary artery disease was found in 82.1% of the women; more than half (57.1%) had multivessel disease. Absence of CAD was noted in 17.9%. Women with CAD were older than women without CAD (F = 3.86, P =.035). No significant differences were found between presence or absence of PAD based on ABI and diagnosis of no coronary disease or 1-vessel or multivessel coronary disease.

CONCLUSIONS

This study failed to show the expected correlation between ABI of less than 0.90 mm Hg and CAD, but did show a significant correlation of age with presence of both PAD and CAD. Further research that focuses specifically on women is needed and should include a larger sample, additional unique cardiovascular risk factors, and innovative diagnostic tests to determine presence of CAD in women early in the disease process.

Ankle brachial index measurement in primary care setting: how long does it take?

BACKGROUND

Peripheral arterial disease (PAD) affects over 8 million people in the United States and has been found to be associated with an increased incidence of coronary and carotid artery disease. The ankle brachial index (ABI) measurement is a highly specific noninvasive screening and diagnostic test for PAD, but is rarely performed in primary care office settings. This study sought to determine the actual performance time involved in completing an ABI in a primary care office.

METHODS

Data were collected by one provider on a convenience sample of women who met the inclusion criteria. The time was recorded at the beginning and upon the completion of the ABI procedure for each patient. Analysis of the time data was completed and barriers to performing the ABI were recorded by the provider.

RESULTS

The average time to complete an ABI was 5 minutes, with a range of 3-11 minutes. In 83.8% of patient encounters, the ABI procedure took less than 6 minutes to complete. Barriers identified by the provider included the additional time needed to explain the test and assist patients into the proper testing position.

CONCLUSIONS

The actual performance time for an ABI in a primary care setting takes an average of 5 minutes, but additional time may be required for patient preparation and education. With proper scheduling and training, the ABI can be completed in a timely manner. The ABI is an important screening/diagnostic test that can be performed in primary care and potentially impact patient treatment plans.