| Literature DB >> 30379252 |
Bárbara Campos Abreu Marino1,2, Nermina Buljubasic1, Martijn Akkerhuis1, Jin M Cheng1, Hector M Garcia-Garcia3, Evelyn Regar1,4, Robert-Jan van Geuns1, Patrick W Serruys5, Eric Boersma1, Isabella Kardys1.
Abstract
BACKGROUND: Prospective data on the associations of adiponectin with in-vivo measurements of degree, phenotype and vulnerability of coronary atherosclerosis are currently lacking.Entities:
Mesh:
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Year: 2018 PMID: 30379252 PMCID: PMC6173335 DOI: 10.5935/abc.20180172
Source DB: PubMed Journal: Arq Bras Cardiol ISSN: 0066-782X Impact factor: 2.000
Baseline characteristics
| Total (n = 570) | ACS patients (n = 309) | SAP patients (n = 261) | |
|---|---|---|---|
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| Age, years (mean±SD) | 61.5 ± 11.4 | 59.7 ± 11.9 | 63.6 ± 10.3 |
| Men, n (%) | 430 (75.4) | 227 (73.5) | 203 (77.8) |
| Diabetes Mellitus, n (%) | 99 (17.4) | 40 (12.9) | 59 (22.6) |
| Hypertension, n (%) | 295 (51.8) | 134 (43.4) | 161 (61.7) |
| Hypercholesterolemia, n (%) | 317 (55.6) | 137 (44.3) | 180 (69.0) |
| Smoking, n (%) | 164 (28.8) | 115 (37.2) | 49 (18.8) |
| Positive family history, n (%) | 293 (51.5) | 140 (45.3) | 153 (58.6) |
| Previous MI, n (%) | 184 (32.3) | 80 (25.9) | 104 (58.6) |
| Previous PCI, n (%) | 185 (32.5) | 57 (18.4) | 128 (49.0) |
| Previous CABG, n (%) | 18 (3.2) | 7 (2.3) | 11 (4.2) |
| Previous stroke, n (%) | 23 (4.0) | 10 (3.2) | 13 (5.0) |
| Peripheral artery disease, n (%) | 36 (6.3) | 12 (3.9) | 24 (9.2) |
| History of renal insufficiency (%) | 32 (5.6) | 13 (4.2) | 19 (7.3) |
| History of heart failure, n (%) | 19 (3.3) | 6 (1.9) | 13 (5.0) |
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| Acute coronary syndrome, n (%) | 309 (54.2) | 309 (100) | 0 (0) |
| Myocardial infarction, n (%) | 159 (27.9) | 159 (51.5) | 0 (0) |
| Unstable angina pectoris, n (%) | 150 (26.3) | 150 (48.5) | 0 (0) |
| Stable angina pectoris, n (%) | 261 (45.8) | 0 (0) | 261 (100) |
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| No significant stenosis, n (%) | 42 (7.4) | 18 (5.8) | 24 (9.2) |
| 1-vessel disease, n (%) | 301 (52.8) | 168 (54.4) | 133 (51.0) |
| 2-vessel disease, n (%) | 166 (29.1) | 88 (28.5) | 78 (29.9) |
| 3-vessel disease, n (%) | 61 (10.7) | 35 (11.3) | 26 (10.0) |
| PCI performed, n (%) | 501 (87.9) | 287 (92.9) | 214 (82.0) |
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| Segment length (mm), median (IQR) | 44.1 (33.7-55.4) | 43.9 [32.9-54.1] | 44.8 [34.2-57.2] |
| Plaque burden (%), median (IQR) | 39.2 (30.0-46.4) | 37.2 [28.0-45.5] | 40.2 [31.8-47.8] |
| Presence lesion with MLA ≤ 4.0mm2 | 176 (30.9) | 88 (28.7) | 88 (33.7) |
| Presence of VH-TCFA, n (%) | 239 (41.9) | 140 (45.5) | 99 (37.9) |
| Presence of VH-TCFA with PB ≥ 70%, n (%) | 69 (12.1) | 32 (10.4) | 37 (14.2) |
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| C-reactive protein (mg/L), median [IQR] | 2.1 [0.8-5.3] | 2.8 [1.1-7.0] | 1.5[0.6-3.1] |
| Adiponectin ( | 2.8 [1.9-4.0] | 2.9 [1.8-4.1] | 2.9 [1.9-3.9] |
ACS: acute coronary syndrome; SAP: stable angina pectoris; SD: standard deviation; MI: myocardial infarction; PCI: percutaneous coronary intervention; CABG: coronary artery bypass grafting; IVUS: intravascular ultrasound; IQR: interquartile range; MLA: minimal luminal area; VH-TCFA: virtual histology thin-cap fibroatheroma; PB: plaque burden.
Association of adiponectin plasma levels with segment intravascular ultrasound characteristics in the total study cohort, acute coronary syndrome and stable angina patients
| IVUS characteristics | Unadjusted Model | p | Multivariable model | p | |
|---|---|---|---|---|---|
| Beta ‡ (95% CI) | Beta ‡ (95% CI) | ||||
| All patients (n = 570) | Segment plaque Burden | -0.40 (-2.04 – 1.23) | 0.62 | -0.95 (-2.74 – 0.85) | 0.30 |
| Dense calcium fraction % | 1.35 (0.27 – 2.44) | 0.001 | 0.36 (-0.86 – 1.58) | 0.56 | |
| Necrotic core fraction % | 0.43 (-0.71 – 1.58) | 0.46 | 0.39 (-0.92 – 1.70) | 0.56 | |
| Fibrofatty tissue fraction % | -0.62 (-1.51 – 0.27) | 0.17 | -0.46 (-1.46 – 0.55) | 0.37 | |
| Fibrous tissue fraction % | -1.17 (-2.81 – 0.48) | 0.17 | -0.29 (-2.16 – 1.58) | 0.76 | |
| ACS patients (n = 309) | Segment plaque Burden | 0.03 (-2.27 – 2.33) | 0.98 | -0.89 (-3.42 – 1.63) | 0.49 |
| Dense calcium fraction % | 2.53 (0.92 – 3.78) | 0.001 | 1.10 (-0.50 – 2.70) | 0.18 | |
| Necrotic core fraction % | 0.56 (-1.12 – 2.24) | 0.51 | 0.23 (-1.69 – 2.16) | 0.81 | |
| Fibrofatty tissue fraction % | -1.47 (-2.78 – -0.15) | 0.029 | -0.99 (-2.49 – 0.50) | 0.19 | |
| Fibrous tissue fraction % | -1.45 (-3.78 – 0.89) | 0.22 | -0.35 (-3.00 – 2.30) | 0.80 | |
| SAP patients (n = 261) | Segment plaque Burden | -0.71 (-3.00 – 1.58) | 0.54 | -0.87 (-3.46 – 1.73) | 0.51 |
| Dense calcium fraction % | 0.39 (-1.25 – 2.01) | 0.64 | -0.41 (-2.28 – 1.47) | 0.67 | |
| Necrotic core fraction % | 0.24 (-1.29 – 1.77) | 0.76 | 0.57 (-1.20 – 2.35) | 0.52 | |
| Fibrofatty tissue fraction % | 0.38 (-0.80 – 1.57) | 0.52 | 0.01 (-1.32 – 1.34) | 0.99 | |
| Fibrous tissue fraction % | -1.01 (-3.31 – 1.30) | 0.39 | -0.17 (-2.82 –2.48) | 0.90 |
Adjusted for age, gender, diabetes, hypertension, and C-reactive protein (CRP). Additionally adjusted for indication for coronary angiography in the total cohort.
Logarithmically transformed.
Beta per unit increase in ln-transformed adiponectin concentration. IVUS: intravascular ultrasound; CI: confidence interval of 95%; ACS: acute coronary syndrome; SAP: stable angina pectoris; CRP: C-reactive protein.
Association of adiponectin with presence of virtual histology intravascular ultrasound-derived high-risk lesions in the total cohort, acute coronary syndrome and stable angina patients
| Unadjusted Model | p | Multivariable model | p | ||
|---|---|---|---|---|---|
| OR | OR | ||||
| Total cohort (n = 570) | TCFA | 1.11 (0.84 – 1.49) | 0.44 | 1.23 (0.88 – 1.71) | 0.23 |
| TCFA PB ≥70% | 0.88 (0.57 – 1.37) | 0.55 | 0.81 (0.50 – 1.33) | 0.42 | |
| Lesion with MLA ≤ 4.0 mm2 | 0.84 (0.62 – 1.14) | 0.25 | 0.70 (0.49 – 1.00) | 0.052 | |
| Lesion with PB ≥70% | 1.02 (0.72 – 1.44) | 0.93 | 0.93 (0.63– 1.39) | 0.73 | |
| ACS patients (n = 309) | TCFA | 0.85 (0.58 – 1.26) | 0.42 | 0.90 (0.58 – 1.42) | 0.66 |
| TCFA PB ≥70% | 0.90 (0.57 – 1.42) | 0.66 | 0.77 (0.37 – 1.58) | 0.48 | |
| Lesion with MLA ≤ 4.0 mm2 | 1.13 (0.74 – 1.74) | 0.57 | 0.87 (0.53 – 1.44) | 0.59 | |
| Lesion with PB ≥70% | 1.25 (0.76 – 2.07) | 0.38 | 1.08 (0.60 – 1.94) | 0.80 | |
| SAP patients (n = 261) | TCFA | 1.54 (0.99 – 2.38) | 0.057 | 1.78 (1.06 – 3.00) | 0.030 |
| TCFA PB ≥70% | 0.86 (0.48 – 1.52) | 0.60 | 0.87 (0.45 – 1.69) | 0.68 | |
| Lesion with MLA ≤ 4.0 mm2 | 0.62 (0.40 – 0.97) | 0.035 | 0.55 (0.32 – 0.93) | 0.025 | |
| Lesion with PB ≥70% | 0.86 (0.54 – 1.39) | 0.54 | 0.85 (0.49 – 1.47) | 0.56 |
Adjusted for age, gender, diabetes, hypertension, and C-reactive protein (CRP). Additionally adjusted for indication for coronary angiography in the total cohort. OR: odds ratio; CI: confidence interval of 95%; TCFA: thin-cap fibroatheroma; PB: plaque burden; MLA: minimal luminal area; ACS: acute coronary syndrome; SAP: stable angina pectoris.
Odds ratio per unit increase in ln-transformed biomarker concentration
Association of adiponectin with major adverse cardiac events, secondary endpoints and death
| Univariable | p | Adjusted
for age and gender | p | ||
|---|---|---|---|---|---|
| HR | HR | ||||
| Total (n = 570) | MACE (n = 56) | 1.28 (0.81 – 2.02) | 0.29 | 1.19 (0.71 – 1.99) | 0.52 |
| Acute MACE (n = 32) | 1.77 (0.96 – 3.23) | 0.069 | 1.36 (0.68 – 2.72) | 0.38 | |
| Death (n = 19) | 3.36 (1.49 – 7.59) | 0.004 | 2.52 (1.02 – 6.23) | 0.045 | |
| ACS (n = 309) | MACE (n = 26) | 1.29 (0.66 – 2.50) | 0.46 | 1.02 (0.48 – 2.19) | 0.95 |
| Acute MACE (n = 20) | 1.75 (0.81 – 3.72) | 0.14 | 1.40 (0.59 – 3.29) | 0.44 | |
| Death (n = 14) | 2.44 (0.98 – 6.06) | 0.055 | 1.87 (0.67 – 5.19) | 0.23 | |
| SAP (n = 261) | MACE (n = 30) | 1.30 (0.69 – 2.46) | 0.42 | 1.43 (0.69 – 2.98) | 0.34 |
| Acute MACE (n = 12) | 1.75 (0.61 – 4.94) | 0.29 | 1.33 (0.41 – 4.28) | 0.64 | |
| Death (n = 5) | 8.15 (1.49 – 44.68) | 0.016 | 8.48 (0.92 – 78.03) | 0.058 |
HR: hazard ratio; CI: confidence interval of 95%; MACE: major adverse cardiac events; ACS: acute coronary syndrome; SAP: stable angina pectoris; Acute MACE: composite of death or acute coronary syndrome (secondary endpoints).
Additionally adjusted for indication for coronary angiography in the total cohort.
Hazard ratio per unit increase in ln-transformed biomarker concentration