| Literature DB >> 30226908 |
Arthur Santa Catharina1, Rodrigo Modolo1, Alessandra Mileni Versuti Ritter1, Andréa Rodrigues Sabbatini1, Heno Ferreira Lopes2, Heitor Moreno Junior1, Ana Paula de Faria1.
Abstract
BACKGROUND: Metabolic syndrome (MetS) is widespread among hypertensive patients. Clinical features and potential biomarkers of MetS in the presence of hypertension and resistant hypertension (RHTN) represent a great area of interest for investigation.Entities:
Mesh:
Substances:
Year: 2018 PMID: 30226908 PMCID: PMC6023630 DOI: 10.5935/abc.20180076
Source DB: PubMed Journal: Arq Bras Cardiol ISSN: 0066-782X Impact factor: 2.000
General characteristics of hypertensive patients with and without metabolic syndrome
| Patients with MetS (n = 157) | Patients without MetS (n = 79) | p-value | |
|---|---|---|---|
| Age (years) | 63 (56 – 70) | 65 (56 – 71) | 0.39 |
| White race (%) | 122 (77) | 52 (65) | 0.05 |
| Female gender (%) | 106 (67) | 47 (59) | 0.23 |
| BMI (kg/m2) | 31 (27 – 34) | 26 (23 – 28) | < 0.01 |
| WC (cm) | 100 ± 13 | 89 ± 12 | < 0.01 |
| FFM (Kg) | 54 (46 – 62) | 52 (44 – 63) | 0.13 |
| FM (Kg) | 24 (19 – 31) | 17 (13 – 23) | < 0.01 |
| TBW (%) | 74 (72 – 75) | 73 (72 – 75) | 0.03 |
| BMR (cal/day) | 1672 (1436 – 1947) | 1616 (1369 – 1954) | 0.23 |
| Office SBP(mmHg) | 142 (134 – 150) | 146 (132 – 154) | 0.39 |
| Office DBP(mmHg) | 82 (75 – 89) | 82 (80 – 88) | 0.44 |
| Office HR (bpm) | 67 (61 – 76) | 64 (58 – 72) | 0.01 |
| 24h-ABPM SBP(mmHg) | 128 (118 – 139) | 129 (118 – 136) | 0.78 |
| 24h-ABPM DBP(mmHg) | 77(70 – 81) | 78 (70 – 86) | 0.28 |
| ABPM HR (bpm) | 64 ± 14 | 64 ± 13 | 0.94 |
| Uncontrolled office BP (%) | 96 (61) | 48 (60) | 0.97 |
| MA ≥ 30 (mg.g-1), n (%) | 31 (20) | 3 (4) | < 0.01 |
| PWV ≥ 10 (m.s-1), n (%) | 68 (43) | 35 (44) | 0.94 |
| LVH, n (%) | 83 (53) | 44 (55) | 0.96 |
| Total anti-HA drugs | 3 (2 – 4) | 3 (2 – 4) | 0.27 |
| Diuretics, n (%) | 123 (78) | 64 (80) | 0.75 |
| CCBs, n (%) | 112 (71) | 42 (52) | < 0.01 |
| ACEIs, n (%) | 36 (22) | 26 (32) | 0.13 |
| ARAs, n (%) | 108 (69) | 48 (60) | 0.27 |
| Beta-blockers, n (%) | 67 (43) | 28 (35) | 0.39 |
| Spironolactone, n (%) | 33 (21) | 8 (10) | 0.06 |
| Central α-agonists, n (%) | 24 (15) | 8 (10) | 0.37 |
| Oral antidiabetics, n (%) | 90 (57) | 16 (20) | < 0.01 |
| Statins, n (%) | 111 (70) | 51 (63) | 0.41 |
| Antiplatelet drugs, n (%) | 67 (43) | 23 (29) | 0.06 |
Values are expressed as mean ± standard deviation or median (1st, 3rd quartiles), according to data distribution. Continuous variables were compared using unpaired Student´s t-test or Mann-Whitney test, according to data distribution. Categorical variables were compared by chi-square test. BMI: body mass index; WC: waist circumference; FFM: fat free mass; FM: fat mass; TBW: total body water; BMR: basal metabolic rate; SBP: systolic blood pressure; DBP: diastolic blood pressure; HR: heart rate; ABPM: ambulatory blood pressure monitoring; LVH: left ventricular hypertrophy; MA: microalbuminuria; PWV: pulse wave velocity; CCBs: calcium channel blockers; ACEIs: angiotensin converting enzyme inhibitors; ARAs: angiotensin II receptor antagonist; TODs: target organ damages.
Biochemical parameters of hypertensive patients with and without metabolic syndrome
| Patients with MetS (n = 157) | Patients without MetS (n = 79) | p-value | |
|---|---|---|---|
| Cholesterol (mg.dL-1) | 166 (139 – 192) | 179 (150 – 200) | 0.06 |
| LDL-c (mg.dL-1) | 88 (70 – 111) | 98 (73 – 118) | 0.19 |
| HDL-c (mg.dL-1) | 43 (37 – 49) | 57 (51 – 65) | < 0.01 |
| Triglycerides (mg.dL-1) | 142 (97 – 199) | 81 (68 – 115) | < 0.01 |
| FBG (mg.dL-1) | 107 (95 – 130) | 91 (86 – 97) | < 0.01 |
| HbA1c (%) | 6.30 (6– 7.40) | 5.90 (5.50 – 6) | < 0.01 |
| hs-CRP (mg.dL-1) | 0.39 (0.17 – 0.65) | 0.25 (0.11 – 0.48) | 0.02 |
| Na (mEq.dL-1) | 141 (140 – 143) | 142 (138 – 143) | 0.61 |
| K (mEq.dL-1) | 4.40 (4.10 – 4.70) | 4.30 (4.20 – 4.60) | 0.82 |
| PAC (ng.dL-1) | 83 (48 – 162) | 65 (41 – 125) | 0.10 |
| CC (ml.min-1.(1,73m2)-1) | 80 (55 – 97) | 71 (53 – 94) | 0.53 |
| Creatinine (mg.dL-1) | 0.93 (0.80 – 1.12) | 0.95 (0.77 – 1.20) | 0.97 |
| Renin (pg.ml-1) | 23 (12 – 64) | 30 (11 – 80) | 0.78 |
| Urea (mg.mL-1) | 35 (26 – 44) | 36 (28 – 44) | 0.81 |
| Cortisol (ug.dL-1) | 14 (10 – 20) | 14 (10 – 16) | 0.44 |
| Leptin (ng.mL-1) | 21.0 (14.40–41.60) | 15.70 (6.30–33.20) | < 0.01 |
| Adiponectin (µg.dL-1) | 5.30 (2.60– 7.80) | 7.50 (3.80 – 11.90) | < 0.01 |
| LAR | 4.81 (2.14 – 10.80) | 2.22 (1.10 – 5.20) | < 0.01 |
| LAR > 3.72, n (%) | 85 (54) | 24 (30) | < 0.01 |
Values are expressed as mean ± standard deviation or median (1st, 3rd quartiles), according to data distribution. Continuous variables were compared using unpaired Student´s t-test or Mann-Whitney test, according to data distribution. Categorical variables were compared by chi-square test. MetS: metabolic syndrome; LDL-c: low density lipoprotein-c; HDL-c: high density lipoprotein-c; FBG: fasting blood glucose; HbA1C: glycated hemoglobin; hs-CRP: high-sensitivity c-reactive protein; Na: serum sodium; K: serum potassium; PAC: plasma aldosterone concentration; CC: creatinine clearance; LAR > 3.7: leptin adiponectin ratio > 3.7 (the cutoff value was determined by median value).
Multiple logistic regression for the presence of metabolic syndrome*
| Odds ratio | 95% CI | p-value | |
|---|---|---|---|
| LAR > 3.7 | 4.13 | 1.38 – 12.34 | 0.01 |
| HR (bpm) | 0.97 | 0.92 – 1.03 | 0.39 |
| MA > 30 (mg.g-1) | 8.51 | 1.53 – 47.14 | 0.01 |
| hs-CRP (mg.dL-1) | 2.92 | 0.83 – 10.19 | 0.09 |
| RHTN | 3.75 | 1.09 – 12.92 | 0.03 |
The variables in this model were also adjusted for age, gender and race. MetS: metabolic syndrome; hs-CRP: high-sensitivity c-reactive protein; HR: heart rate; MA: microalbuminuria; RHTN: resistant hypertension; LAR > 3.7: leptin adiponectin ratio > 3.7 (the cutoff value was determined by median value).
Figure 1Diagrammatic representation of the metabolic syndrome effects on hypertension and resistant hypertension (RHTN). Abbreviations: renin-angiotensin-aldosterone system (RAAS); central nervous system (CNS).