Use of Vascular Assessments and Novel Biomarkers to Predict Cardiovascular Events in Type 2 Diabetes: The SUMMIT VIP Study Article Swipe
Angela C. Shore
,
Helen M. Colhoun
,
Andrea Natali
,
Carlo Palombo
,
Faisel Khan
,
Gerd Östling
,
Kunihiko Aizawa
,
Cecilia Kennbäck
,
Francesco Casanova
,
Margaretha Persson
,
Kim M. Gooding
,
Phillip E. Gates
,
Helen C. Looker
,
Fiona Dove
,
J. J. F. Belch
,
Silvia Pinnola
,
Elena Venturi
,
M. Kozàkovà
,
Isabel Gonçalves
,
Jasmina Kravić
,
Harry Björkbacka
,
Jan Nilsson
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.2337/dc18-0185
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.2337/dc18-0185
OBJECTIVE Cardiovascular disease (CVD) risk prediction represents an increasing clinical challenge in the treatment of diabetes. We used a panel of vascular imaging, functional assessments, and biomarkers reflecting different disease mechanisms to identify clinically useful markers of risk for cardiovascular (CV) events in subjects with type 2 diabetes (T2D) with or without manifest CVD. RESEARCH DESIGN AND METHODS The study cohort consisted of 936 subjects with T2D recruited at four European centers. Carotid intima-media thickness and plaque area, ankle-brachial pressure index, arterial stiffness, endothelial function, and circulating biomarkers were analyzed at baseline, and CV events were monitored during a 3-year follow-up period. RESULTS The CV event rate in subjects with T2D was higher in those with (n = 440) than in those without (n = 496) manifest CVD at baseline (5.53 vs. 2.15/100 life-years, P < 0.0001). New CV events in subjects with T2D with manifest CVD were associated with higher baseline levels of inflammatory biomarkers (interleukin 6, chemokine ligand 3, pentraxin 3, and hs-CRP) and endothelial mitogens (hepatocyte growth factor and vascular endothelial growth factor A), whereas CV events in subjects with T2D without manifest CVD were associated with more severe baseline atherosclerosis (median carotid plaque area 30.4 mm2 [16.1–92.2] vs. 19.5 mm2 [9.5–40.5], P = 0.01). Conventional risk factors, as well as measurements of arterial stiffness and endothelial reactivity, were not associated with CV events. CONCLUSIONS Our observations demonstrate that markers of inflammation and endothelial stress reflect CV risk in subjects with T2D with manifest CVD, whereas the risk for CV events in subjects with T2D without manifest CVD is primarily related to the severity of atherosclerosis.
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Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2337/dc18-0185
- https://care.diabetesjournals.org/content/diacare/41/10/2212.full.pdf
- OA Status
- bronze
- Cited By
- 32
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2884298709
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2884298709Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2337/dc18-0185Digital Object Identifier
- Title
-
Use of Vascular Assessments and Novel Biomarkers to Predict Cardiovascular Events in Type 2 Diabetes: The SUMMIT VIP StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-07-30Full publication date if available
- Authors
-
Angela C. Shore, Helen M. Colhoun, Andrea Natali, Carlo Palombo, Faisel Khan, Gerd Östling, Kunihiko Aizawa, Cecilia Kennbäck, Francesco Casanova, Margaretha Persson, Kim M. Gooding, Phillip E. Gates, Helen C. Looker, Fiona Dove, J. J. F. Belch, Silvia Pinnola, Elena Venturi, M. Kozàkovà, Isabel Gonçalves, Jasmina Kravić, Harry Björkbacka, Jan NilssonList of authors in order
- Landing page
-
https://doi.org/10.2337/dc18-0185Publisher landing page
- PDF URL
-
https://care.diabetesjournals.org/content/diacare/41/10/2212.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://care.diabetesjournals.org/content/diacare/41/10/2212.full.pdfDirect OA link when available
- Concepts
-
Medicine, Internal medicine, Arterial stiffness, Type 2 diabetes, Diabetes mellitus, Endothelial dysfunction, Cardiology, Endothelial activation, Risk factor, Blood pressure, Endothelium, EndocrinologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
32Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 3, 2023: 3, 2022: 5, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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22Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.index, | 80 |
| abstract_inverted_index.levels | 152 |
| abstract_inverted_index.ligand | 159 |
| abstract_inverted_index.plaque | 76, 196 |
| abstract_inverted_index.severe | 191 |
| abstract_inverted_index.stress | 237 |
| abstract_inverted_index.useful | 34 |
| abstract_inverted_index.(median | 194 |
| abstract_inverted_index.Carotid | 72 |
| abstract_inverted_index.METHODS | 57 |
| abstract_inverted_index.RESULTS | 102 |
| abstract_inverted_index.carotid | 195 |
| abstract_inverted_index.disease | 2, 29 |
| abstract_inverted_index.events. | 226 |
| abstract_inverted_index.hs-CRP) | 164 |
| abstract_inverted_index.markers | 35, 232 |
| abstract_inverted_index.period. | 101 |
| abstract_inverted_index.reflect | 238 |
| abstract_inverted_index.related | 263 |
| abstract_inverted_index.whereas | 177, 248 |
| abstract_inverted_index.without | 51, 122, 184, 258 |
| abstract_inverted_index.&lt; | 135 |
| abstract_inverted_index.0.0001). | 136 |
| abstract_inverted_index.2.15/100 | 132 |
| abstract_inverted_index.European | 70 |
| abstract_inverted_index.RESEARCH | 54 |
| abstract_inverted_index.analyzed | 89 |
| abstract_inverted_index.arterial | 81, 216 |
| abstract_inverted_index.baseline | 129, 151, 192 |
| abstract_inverted_index.centers. | 71 |
| abstract_inverted_index.clinical | 9 |
| abstract_inverted_index.diabetes | 47 |
| abstract_inverted_index.factors, | 210 |
| abstract_inverted_index.identify | 32 |
| abstract_inverted_index.imaging, | 22 |
| abstract_inverted_index.manifest | 52, 126, 145, 185, 246, 259 |
| abstract_inverted_index.mitogens | 167 |
| abstract_inverted_index.pressure | 79 |
| abstract_inverted_index.severity | 266 |
| abstract_inverted_index.subjects | 43, 64, 108, 141, 181, 242, 255 |
| abstract_inverted_index.vascular | 21, 172 |
| abstract_inverted_index.OBJECTIVE | 0 |
| abstract_inverted_index.baseline, | 91 |
| abstract_inverted_index.challenge | 10 |
| abstract_inverted_index.chemokine | 158 |
| abstract_inverted_index.consisted | 61 |
| abstract_inverted_index.diabetes. | 15 |
| abstract_inverted_index.different | 28 |
| abstract_inverted_index.follow-up | 100 |
| abstract_inverted_index.function, | 84 |
| abstract_inverted_index.monitored | 96 |
| abstract_inverted_index.pentraxin | 161 |
| abstract_inverted_index.primarily | 262 |
| abstract_inverted_index.recruited | 67 |
| abstract_inverted_index.stiffness | 217 |
| abstract_inverted_index.thickness | 74 |
| abstract_inverted_index.treatment | 13 |
| abstract_inverted_index.associated | 148, 188, 223 |
| abstract_inverted_index.biomarkers | 26, 87, 155 |
| abstract_inverted_index.clinically | 33 |
| abstract_inverted_index.functional | 23 |
| abstract_inverted_index.increasing | 8 |
| abstract_inverted_index.mechanisms | 30 |
| abstract_inverted_index.prediction | 5 |
| abstract_inverted_index.reflecting | 27 |
| abstract_inverted_index.represents | 6 |
| abstract_inverted_index.stiffness, | 82 |
| abstract_inverted_index.(hepatocyte | 168 |
| abstract_inverted_index.CONCLUSIONS | 227 |
| abstract_inverted_index.circulating | 86 |
| abstract_inverted_index.demonstrate | 230 |
| abstract_inverted_index.endothelial | 83, 166, 173, 219, 236 |
| abstract_inverted_index.life-years, | 133 |
| abstract_inverted_index.reactivity, | 220 |
| abstract_inverted_index.(interleukin | 156 |
| abstract_inverted_index.Conventional | 208 |
| abstract_inverted_index.assessments, | 24 |
| abstract_inverted_index.inflammation | 234 |
| abstract_inverted_index.inflammatory | 154 |
| abstract_inverted_index.intima-media | 73 |
| abstract_inverted_index.measurements | 214 |
| abstract_inverted_index.observations | 229 |
| abstract_inverted_index.[16.1–92.2] | 200 |
| abstract_inverted_index.[9.5–40.5], | 204 |
| abstract_inverted_index.Cardiovascular | 1 |
| abstract_inverted_index.ankle-brachial | 78 |
| abstract_inverted_index.cardiovascular | 39 |
| abstract_inverted_index.atherosclerosis | 193 |
| abstract_inverted_index.atherosclerosis. | 268 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5047261292 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 22 |
| corresponding_institution_ids | https://openalex.org/I187531555 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8299999833106995 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.9308769 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |