| Literature DB >> 24473504 |
Eduardo D E Papa1, Izo Helber1, Manes R Ehrlichmann2, Claudia Maria Rodrigues Alves1, Marcia Makdisse2, Livia N Matos1, Jairo Lins Borges1, Renato D Lopes3, Edson Stefanini1, Antonio Carlos Carvalho1.
Abstract
OBJECTIVES: To correlate the importance of the ankle-brachial index in terms of cardiovascular morbimortality and the extent of coronary arterial disease amongst elderly patients without clinical manifestations of lower limb peripheral arterial disease.Entities:
Mesh:
Year: 2013 PMID: 24473504 PMCID: PMC3840368 DOI: 10.6061/clinics/2013(12)02
Source DB: PubMed Journal: Clinics (Sao Paulo) ISSN: 1807-5932 Impact factor: 2.365
Demographic and angiographic characteristics and the incidence of cardiovascular events in patients with and without PAD.
| PAD (ABI<0.9) | No PAD | ||
| Variables | (n = 47) | (n = 53) | |
| Age, years (mean ± standard deviation) | 77.8±6.6 | 77.1±8.1 | 0.524 |
| Blood pressure, mmHg (mean ± standard deviation) | |||
| Systolic blood pressure | 158.34±18.75 | 143.96±20.45 | <0.001 |
| Diastolic blood pressure | 83.40±7.15 | 83.00±5.66 | 0.753 |
| Women, n (%) | 29 (61.7%) | 28 (52.8%) | 0.371 |
| Men, n (%) | 18 (38.3%) | 25 (47.2%) | |
| Hypertension, n (%) | 47 (100%) | 50 (94.3%) | 0.245 |
| Diabetes Mellitus, n (%) | 20 (37.7%) | 19 (40.4%) | 0.783 |
| Smoking (current or former) n (%) | 15 (31.9%) | 15 (28.3%) | 0.694 |
| Chronic Renal failure (Creatinine > 2.0) | 6 (12.8%) | 5 (9.4%) | 0.595 |
| CAD extent – uniarterial, n (%) | 8 (17%) | 23 (43.4%) | 0.004 |
| CAD extent – multiarterial, n (%) | 39 (83.0%) | 30 (56.6%) | |
| Drugs n (%) Nitrate | 17 (32.1%) | 16 (34.1%) | 0.835 |
| Calcium antagonists | 7 (13.3%) | 15 (32.2%) | 0.024 |
| Statins | 44 (83.1%) | 44 (93.7%) | 0.104 |
| Beta-blockers | 44 (83.1%) | 35 (74.5%) | 0.295 |
| Angiotensin (IECA) | 37 (69.9%) | 32 (68.1%) | 0.852 |
| Diuretics | 29 (54.8%) | 32 (68.1%) | 0.171 |
| Acetylsalicylic acid | 49 (92.5%) | 44 (93.7%) | 1.000 |
| Oral hypoglycemic | 11 (20.8%) | 11 (23.5%) | 0.750 |
| Insulin | 4 (7.6%) | 6 (12.8%) | 0.509 |
| ARBs | 8 (15.1%) | 11 (23.5%) | 0.290 |
| Fibrates | 2 (3.8%) | 3 (6.4%) | 0.664 |
| Antiplatelets | 2 (3.8%) | 3 (6.4%) | 0.664 |
| Death, n (%) | 8 (17%) | 3 (5.7%) | 0.070 |
| Acute myocardial infarction, n (%) | 9 (19.1%) | 4 (7.5%) | 0.085 |
| Stroke, n (%) | 3 (6.4%) | 0 | 0.100 |
| MACE n (%) | 12 (25.5%) | 5 (9.43%) | 0.032 |
Age (mean ± standard deviation) of patients with or without Peripheral Arterial Disease of the lower limbs (PAD). Major cardiovascular events (MACE); Coronary Arterial Disease (CAD). Student's t-test was used for the variable age (years). The chi-square test was used for the variables gender, diabetes mellitus, smoking, CAD extent (uniarterial or multiarterial), death, acute myocardial infarction, stroke and MACE. The Fisher test was used to analyze hypertension. The chi-square test was used to analyze chronic renal failure. Drugs were analyzed by the chi-square test or Fisher's exact test. Student's t-test was used to analyze blood pressure.
Analysis of the incidence of death, fatal and non-fatal acute myocardial infarction and major cardiovascular events related to cardiovascular risk factors and the presence of peripheral arterial disease (PAD) evaluated by the ankle-brachial index.
| RR | CI 95% | ||
| PAD (ABI<0.9) | 3.01 | 0.91–9.55 | 0.070 |
| Gender (female) | 1.32 | 0.41–4.22 | 0.637 |
| Diabetes mellitus | 1.30 | 0.43–3.98 | 0.642 |
| Smoking | 1.33 | 0.42–4.26 | 0.625 |
| PAD (ABI<0.9) | 2.54 | 0.87–7.36 | 0.085 |
| Gender (female) | 1.21 | 0.42–3.44 | 0.723 |
| Diabetes mellitus | 1.34 | 0.48–3.71 | 0.571 |
| Smoking | 1.46 | 0.51–4.13 | 0.475 |
| PAD (ABI<0.9) | 2.70 | 1.08–6.77 | 0.032 |
| Gender (female) | 1.38 | 0.55–3.43 | 0.481 |
| Diabetes mellitus | 1.09 | 0.45–2.65 | 0.840 |
| Smoking | 1.27 | 0.51–3.16 | 0.601 |
Relative risk values (RR), confidence interval (CI) and p-value. The chi-square test was used for the variables gender, diabetes mellitus and smoking. The presence of Peripheral Arterial Disease (PAD) was considered to have an ankle-brachial index of <0.9. Bivariate analysis was performed using the chi-square test or Fisher's exact test to evaluate possible ABI predictors.
MACE analysis adjusting for confounding factors (ABI and multiarterial coronary disease).
| Variable | Crude Analysis | Multivariate Analysis | ||||||
| RR | CI (95%) | RR | CI (95%) | |||||
| Multiarterial | 1.078 | (0.416 | 2.797) | 0.877 | 0.775 | 0.302 | 1.983 | 0.594 |
| ABI | 2.706 | 1.029 | 7.115 | 0.043 | 2.90 | 1.11 | 7.62 | 0.030 |
Relative risk values (RR), confidence interval (CI) and p-value. The confounding effect was assessed by regression models considering the Poisson distribution and Robust estimation, considering the RR (relative risk) given the study design. The p-value was estimated using the Poisson regression model.
Figure 1Event-free survival by ABI categories. Kaplan-Meier estimates showing MACE during the follow-up visit.
Figure 2Event-free survival by ABI categories. Kaplan-Meier estimates showing AMI during the follow-up visit.
Time elapsed between the PAD diagnosis and the occurrence of major cardiovascular events (MACE) and acute myocardial infarction (AMI).
| Time (years) | CI 95% | ||
| ABI≥0.9 | 3.05 | (2.94–3.16) | 0.022 |
| ABI<0.9 | 2.73 | (2.51–2.94) | |
| ABI≥0.9 | 3.07 | (2.97–3.17) | 0.082 |
| ABI<0.9 | 2.83 | (2.63–3.03) |
Time (average, years); Major cardiovascular events (MACE); Ankle-brachial index (ABI); Confidence interval (CI); Acute myocardial infarction (AMI). Average time was estimated by the Kaplan-Meier method. The p-value was calculated by the Log-Rank test.