| Literature DB >> 35061769 |
Caroline A Berge1, Ingeborg Eskerud2, Elise B Almeland2, Terje H Larsen1,3, Eva R Pedersen1, Svein Rotevatn1, Mai Tone Lønnebakken1,2.
Abstract
BACKGROUND: The burden of non-obstructive coronary artery disease (CAD) in the society is high, and there is currently limited evidence-based recommendation for risk stratification and treatment. Previous studies have demonstrated an association between increasing extent of non-obstructive CAD and cardiovascular events. Whether hypertension, a modifiable cardiovascular risk factor, is associated with extensive non-obstructive CAD in patients with symptomatic chronic coronary syndrome (CCS) remains unclear.Entities:
Mesh:
Year: 2022 PMID: 35061769 PMCID: PMC8782369 DOI: 10.1371/journal.pone.0262290
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Clinical and CCTA characteristics of the total population and in subgroups of patients with and without hypertension.
| Total population | Hypertension | No hypertension | P-value | |
|---|---|---|---|---|
| N = 1138 | N = 513 (45%) | N = 625 (55%) | ||
|
| 62±11 | 64±10 | 61±11 | <0.001 |
|
| 48 | 51 | 46 | 0.170 |
|
| 27.6±4.7 | 28.6±4.8 | 26.7±4.4 | <0.001 |
|
| 26 | 34 | 19 | <0.001 |
|
| 10 | 14 | 7 | <0.001 |
|
| 69 | 66 | 71 | 0.073 |
|
| 77.9±17.2 | 79.1±18.8 | 76.9±15.7 | 0.033 |
|
| 82.9±15.6 | 80.4±16.4 | 84.9±14.7 | <0.001 |
|
| 79 | 77 | 81 | 0.064 |
|
| 21 | 23 | 19 | 0.064 |
|
| 39 | 50 | 29 | <0.001 |
|
| 40(7–120) | 50(10–146) | 30(5–97) | 0.001 |
|
| 3(3) | 3(3) | 2(3) | <0.001 |
Data are mean ±SD, median (IQR; Q1-Q3) or number (%).
BMI: body mass index, CAD: coronary artery disease, GFR: glomerular filtration rate, SIS: segment involvement score, LMS: left main stem, LAD: left anterior descending.
Fig 1Non-obstructive coronary artery disease characteristics in patients with and without hypertension.
NOCAD: non-obstructive coronary artery disease, LMS: left main stem, LAD: left anterior descending. *p <0.05 between groups.
Covariables of extensive non-obstructive CAD in univariable and multivariable logistic regression analysis.
| Univariable analysis | Multivariable analysis | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI | p-value | OR | 95% CI | p-value | |
|
| 2.07 | 1.56–2.76 | <0.001 | 1.85 | 1.22–2.80 | 0.004 |
|
| 1.01 | 1.01–1.01 | <0.001 | 1.01 | 1.01–1.01 | <0.001 |
|
| 1.85 | 1.39–2.48 | <0.001 | 1.64 | 1.09–2.48 | 0.017 |
|
| 1.36 | 1.02–1.81 | 0.037 | 1.57 | 1.03–2.40 | 0.035 |
|
| 1.04 | 1.03–1.06 | <0.001 | 1.02 | 1.00–1.04 | 0.059 |
|
| 1.06 | 0.75–1.49 | 0.757 | 1.13 | 0.73–1.73 | 0.591 |
|
| 1.81 | 1.17–2.78 | 0.007 | 1.18 | 0.63–2.20 | 0.614 |
|
| 1.27 | 0.92–1.74 | 0.143 | 1.55 | 0.98–2.46 | 0.063 |
Variables in the model are as follows: hypertension, calcium score, statin treatment, sex, age, smoking, diabetes mellitus, and obesity.