| Literature DB >> 33174090 |
Esa Harjulahti1, Teemu Maaniitty1, Wail Nammas1,2, Iida Stenström1, Fausto Biancari3,4, Jeroen J Bax5, Juhani Knuuti1, Antti Saraste6,7.
Abstract
PURPOSE: We evaluated the value of reduced global and segmental absolute stress myocardial blood flow (sMBF) quantified by [15O] water positron emission tomography (PET) for predicting cardiac events in patients with suspected obstructive coronary artery disease (CAD).Entities:
Keywords: Chronic coronary syndromes; Myocardial blood flow; Net reclassification improvement; Positron emission tomography
Mesh:
Substances:
Year: 2020 PMID: 33174090 PMCID: PMC8113164 DOI: 10.1007/s00259-020-05093-2
Source DB: PubMed Journal: Eur J Nucl Med Mol Imaging ISSN: 1619-7070 Impact factor: 9.236
Fig. 1Study flow chart. CAD, coronary artery disease; CTA, computed tomography angiography; PET, positron emission tomography; sMBF, stress myocardial blood flow
Baseline characteristics
| Total cohort ( | Normal perfusion ( | Preserved global but reduced segmental sMBF ( | Reduced global sMBF ( | ||
|---|---|---|---|---|---|
| Characteristic | |||||
| Age (years) | 65.0 ± 9.2 | 65.4 ± 9.4 | 65.1 ± 8.7 | 64.4 ± 9.6 | 0.659 |
| Male gender | 270 (50.9%) | 78 (35.1%) | 100 (53.5%) | 92 (76.0%) | < 0.001 |
| BMI (kg/m2) | 28.4 ± 5.2 | 27.9 ± 4.8 | 28.5 ± 5.2 | 29.1 ± 5.8 | 0.124 |
| Diabetes | 104 (19.6%) | 35 (15.8%) | 46 (24.6%) | 23 (19.0%) | 0.08 |
| Hypertension | 360 (67.9%) | 146 (65.8%) | 140 (74.9%) | 74 (61.2%) | 0.02 |
| Hypercholesterolemia | 345 (65.1%) | 138 (62.2%) | 131 (70.1%) | 76 (62.8%) | 0.208 |
| Current smoker | 69 (13%) | 26 (11.7%) | 22 (11.8%) | 21 (17.4%) | 0.272 |
| Family history of CAD | 224 (42.3%) | 103 (46.4%) | 72 (38.5%) | 49 (40.5%) | 0.247 |
| Typical angina | 126 (23.8%) | 50 (22.5%) | 46 (24.6%) | 30 (24.8%) | 0.847 |
| Atypical angina | 228 (43.0%) | 96 (43.2%) | 82 (43.9%) | 50 (41.3%) | 0.905 |
| Dyspnea | 217 (40.9%) | 88 (39.6%) | 76 (40.6%) | 53 (43.8%) | 0.751 |
| Medications | |||||
| Lipid-lowering drug | 255 (48.1%) | 93 (41.9%) | 102 (54.5%) | 60 (49.6%) | 0.03 |
| ACEI/ARB | 253 (47.7%) | 100 (45.0%) | 95 (50.8%) | 58 (47.9%) | 0.509 |
| Aspirin | 281 (53%) | 106 (47.7%) | 104 (55.6%) | 71 (58.7%) | 0.103 |
| Beta-blocker | 269 (50.8%) | 109 (49.1%) | 100 (53.5%) | 60 (49.6%) | 0.649 |
| Calcium antagonist | 110 (20.8%) | 46 (20.7%) | 47 (25.1%) | 17 (14.0%) | 0.064 |
| Long-acting nitrate | 70 (13.2%) | 28 (12.6%) | 28 (15.0%) | 14 (11.6%) | 0.650 |
| Diuretic | 130 (24.5%) | 58 (26.1%) | 45 (24.1%) | 27 (22.3%) | 0.723 |
| Oral anticoagulation | 42 (7.9%) | 16 (7.2%) | 13 (7.0%) | 13 (10.7%) | 0.424 |
ACEI angiotensin-converting enzyme inhibitor, ARB angiotensin receptor blocker, BMI body mass index, CAD coronary artery disease, sMBF stress myocardial blood flow
Univariable predictors of cardiac events at 4-year follow-up
| Variable | HR | 95% CI | |
|---|---|---|---|
| Age (years) | 1.072 | 1.024–1.121 | 0.003 |
| Male gender | 1.312 | 0.621–2.773 | 0.477 |
| Diabetes mellitus | 2.803 | 1.313–5.985 | 0.008 |
| Hypertension | 0.616 | 0.291–1.302 | 0.204 |
| Dyslipidemia | 1.145 | 0.518–2.532 | 0.737 |
| Family history of CAD | 0.453 | 0.193–1.067 | 0.070 |
| Smoking | 0.811 | 0.245–2.687 | 0.732 |
| Typical angina | 1.559 | 0.706–3.447 | 0.272 |
| BMI (kg/m2) | 0.967 | 0.892–1.048 | 0.411 |
| eGFR (ml/min/1.73 m2) | 0.984 | 0.962–1.006 | 0.159 |
| Reduced global sMBF | 3.191 | 1.518–6.707 | 0.002 |
| Reduced segmental sMBF | 4.585 | 1.591–13.216 | 0.005 |
| Number of segments with reduced sMBF | 1.074 | 1.014–1.138 | 0.014 |
| Global sMBF (continuous variable, ml/g/min) | 0.551 | 0.384–0.790 | 0.001 |
BMI body mass index, CAD coronary artery disease, CI confidence interval, eGFR estimated glomerular filtration rate, HR hazard ratio, sMBF stress myocardial blood flow
Fig. 2Receiver operating characteristics curve showing the accuracy of global stress myocardial blood flow to predict cardiac events (cardiovascular death, myocardial infarction, or unstable angina pectoris) during a 4-year follow-up
Fig. 3Kaplan-Meier curves showing cardiac events (cardiovascular death, myocardial infarction, or unstable angina pectoris) during 4-year follow-up according to global stress myocardial blood flow (sMBF; a), segmental sMBF (b), and combination of global and segmental sMBF (c)
Independent predictors of cardiac events at 4 years in different Cox regression models
| Multivariable model | HR, 95%CI | |
|---|---|---|
| Clinical variables only | ||
| Age (years) | 1.072, 1.024–1.123 | 0.003 |
| Diabetes | 2.746, 1.286–5.863 | 0.009 |
| Clinical variables and reduced global sMBF | ||
| Age (years) | 1.072, 1.025–1.122 | 0.002 |
| Diabetes | 2.854, 1.335–6.098 | 0.007 |
| Reduced global sMBF | 3.439, 1.634–7.235 | 0.001 |
| Clinical variables and reduced segmental sMBF | ||
| Age (years) | 1.076, 1.028–1.127 | 0.002 |
| Diabetes | 2.477, 1.158–5.296 | 0.019 |
| Reduced segmental sMBF | 4.600, 1.592–13.298 | 0.005 |
| Clinical variables, global sMBF, and segmental sMBF | ||
| Age (years) | 1.075, 1.027–1.124 | 0.002 |
| Diabetes | 2.648, 1.234–5.680 | 0.012 |
| Preserved global sMBF, but reduced segmental sMBF | 3.251, 1.030–10.257 | 0.044 |
| Reduced global sMBF | 6.970, 2.271–21.396 | 0.001 |
CI confidence interval, HR hazard ratio, sMBF stress myocardial blood flow
Net reclassification improvement and integrated discrimination improvement according to different myocardial sMBF patterns compared to clinical variables only
| Multivariable model | NRI, 95% CI | IDI, 95% CI | ||
|---|---|---|---|---|
| Clinical variables and reduced global sMBF | 0.498, 0.118–0.879 | 0.010 | 0.034, 0.006–0.062 | 0.016 |
| Clinical variables and reduced segmental sMBF | 0.583, 0.203–0.963 | 0.002 | 0.028, 0.014–0.043 | 0.0001 |
CI confidence interval, IDI integrated discrimination improvement, NRI net reclassification improvement, sMBF stress myocardial blood flow