| Literature DB >> 24676228 |
Igor Alexandre Côrtes de Menezes1, Márcio Roberto Viana Santos2, Cláudio Leinig Pereira da Cunha1.
Abstract
BACKGROUND: Endothelial dysfunction is vascular phenomenon that plays an important role in atherosclerosis development. With the purpose of improving the prevention and treatment of atherosclerotic diseases, the searching for accurate, practical and cheaper methods for evaluating endothelial function have become of interest.Entities:
Mesh:
Year: 2014 PMID: 24676228 PMCID: PMC3987324 DOI: 10.5935/abc.20140010
Source DB: PubMed Journal: Arq Bras Cardiol ISSN: 0066-782X Impact factor: 2.000
Demographic, metabolic, and hemodynamic characteristics as well as peripheral perfusion index (PPI) values for the controls and patients with atherosclerosis. The parametric data are expressed as means ± standard deviations, while the nonparametric (basal IPP) data are expressed as medians and interquartile ranges (parentheses)
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|---|---|---|---|
| n | 18 | 24 | ---- |
| Age (years) | 59 ± 10 | 61 ± 8 | 0,.48 |
| Gender (M/F) | 8/10 | 14/10 | 0.37 |
| BMI | 24 ± 3 | 28 ± 4 | 0.007 |
| Abdominal circumference (cm) | 87 ± 7 | 97 ± 12 | < 0.001 |
| Dyslipidemia (%) | 0 | 20/24[ | ---- |
| Total cholesterol (mg/dL) | 171 ± 27 | 163 ± 41 | 0.47 |
| LDL cholesterol (mg/dL) | 103 ± 28 | 84 ± 35 | 0.07 |
| HDL cholesterol (mg/dL) | 49 ± 8 | 44 ± 11 | 0.10 |
| Triglycerides (mg/dL) | 99 ± 39 | 161 ± 87 | 0.006 |
| Diabetes mellitus | 0 | 6/24 [ | ---- |
| Fasting glucose (mg/dL) | 86 ± 7 | 101 ± 34 | 0.08 |
| Arterial hypertension | 0 | 20/24 [ | ---- |
| SAP (mmHg) | 112 ± 11 | 125 ± 18 | 0.012 |
| DAP (mmHg) | 72 ± 09 | 75 ± 13 | 0.42 |
| HR before inflation (bpm) | 71 ± 8 | 63 ± 2 | < 0.001 |
| HR after deflation (bpm) | 70 ± 8 | 62 ± 2 | < 0.001 |
| Smoking | 0 | 9/24 | ---- |
| Qt. of cigarettes smoked (packets-year) | 0 | 28 | ---- |
| Basal PPI (%) | 2.6 (2.4-8.6) | 7.2 (3.6-9.8) | 0.11 |
BMI: body mass index; SAP: systolic arterial pressure; DAP: diastolic arterial pressure; HR: heart rate.
treated patients
Variations in the peripheral perfusion index (ΔPPI) after cuff deflation in the controls and patients with atherosclerosis. Values are expressed as medians and interquartile ranges (parentheses) * p < 0.05 vs. control; ** p < 0.01 vs. control; *** p < 0.001 vs. control
| Time after deflation (seconds) | ΔPPI (%) | ||
|---|---|---|---|
| Control (n = 18) | Atherosclerosis (n = 24) | ||
| 0 | 0 | 0 | |
| 15 | 04 (-35-56) | -12 (-42-25) | |
| 30 | 37 (5-93) | 05 (-19-42) | |
| 45 | 51 (21-120) | 14 (-6-54) * | |
| 60 | 73 (29-158) | 25 (6-45) * | |
| 75 | 84 (36-156) | 26 (-8-50) ** | |
| 90 | 74 (47-163) | 33 (9-59) ** | |
| 105 | 105 (47-199) | 36 (-3-54) *** | |
| 120 | 70 (46-157) | 36 (14-49) *** | |
| 150 | 87 (36-205) | 23 (13-54) ** | |
| 180 | 67 (29-178) | 30 (-8-61) ** | |
| 210 | 81 (51-210) | 21 (-07-43) *** | |
| 240 | 56 (37-200) | 11 (01-51) *** | |
| 270 | 55 (43-172) | 12 (-13-45) *** | |
| 300 | 52 (34-140) | 11 (-13-56) ** | |
Figure 1Box and whiskers graph showing variations in the peripheral perfusion index in the 90–120-second interval (ΔPPI90–120) after cuff deflation in the controls and patients with atherosclerosis. The graph expresses medians, interquartile ranges, and maximum and minimum values. *** p < 0.001 vs. control
Figure 2Box and whiskers graph showing variations in the peripheral perfusion index in the 90–120-second interval (ΔPPI90–120) after cuff deflation in men and women in the control and atherosclerosis groups. The graph expresses medians, interquartile ranges, and maximum and minimum values. * p < 0.05 vs. men (controls), ††p < 0.01 vs. women (controls).