Role of Low Ankle–Brachial Index in Cardiovascular and Mortality Risk Compared with Major Risk Conditions Article Swipe
Lia Alves‐Cabratosa
,
Maria García-Gil
,
Marc Comas‐Cufí
,
Jordi Blanch
,
Anna Ponjoan
,
Ruth Martí‐Lluch
,
Marc Elosua-Bayés
,
Dídac Parramon
,
Lourdes Camós
,
Rafel Ramos
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/jcm8060870
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.3390/jcm8060870
Cardiovascular prevention is of particular interest in persons with asymptomatic peripheral arterial disease. We aimed to quantify its association with mortality and cardiovascular outcomes, compared to other indicators of high risk. We performed a retrospective cohort study using the Database of the Catalan primary care system (SIDIAPQ), for 2006–2015, including 35–85-year-old patients with an ankle–brachial index (ABI) measurement, classified according to the presence of diabetes, cardiovascular disease, and low ABI (<0.9). We calculated the incidences and hazard ratios (HRs) for all-cause mortality, acute myocardial infarction, and ischemic stroke. During a median follow-up of 5.9 years, we analyzed 58,118 persons. The mean (SD) age was 66.6 (10.7) years and 53.4% were men. Compared to the reference group with no diabetes, no previous cardiovascular disease, and normal ankle–brachial index, the HR for all-cause mortality was 1.42 (1.25–1.63) in the group with low ABI, 1.35 (1.26–1.45) in those with diabetes, 1.50 (1.34–1.69) in those with previous cardiovascular disease, and 1.84 (1.68–2.01) in those with low ABI and diabetes. In conclusion, participants with low ABI showed increased mortality, acute myocardial infarction, and ischemic stroke incidence in all the subgroups. Patients with low ankle–brachial index plus diabetes presented increased mortality, acute myocardial infarction, and ischemic stroke risk, all at rates similar to those with previous cardiovascular disease.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jcm8060870
- https://www.mdpi.com/2077-0383/8/6/870/pdf?version=1560851905
- OA Status
- gold
- Cited By
- 27
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2951263494
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2951263494Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/jcm8060870Digital Object Identifier
- Title
-
Role of Low Ankle–Brachial Index in Cardiovascular and Mortality Risk Compared with Major Risk ConditionsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-06-18Full publication date if available
- Authors
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Lia Alves‐Cabratosa, Maria García-Gil, Marc Comas‐Cufí, Jordi Blanch, Anna Ponjoan, Ruth Martí‐Lluch, Marc Elosua-Bayés, Dídac Parramon, Lourdes Camós, Rafel RamosList of authors in order
- Landing page
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https://doi.org/10.3390/jcm8060870Publisher landing page
- PDF URL
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https://www.mdpi.com/2077-0383/8/6/870/pdf?version=1560851905Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2077-0383/8/6/870/pdf?version=1560851905Direct OA link when available
- Concepts
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Medicine, Ankle, Index (typography), Internal medicine, Cardiology, Surgery, Computer science, World Wide WebTop concepts (fields/topics) attached by OpenAlex
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27Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 1, 2023: 1, 2022: 6, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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66Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.primary | 43 |
| abstract_inverted_index.similar | 205 |
| abstract_inverted_index.stroke. | 87 |
| abstract_inverted_index.Compared | 111 |
| abstract_inverted_index.Database | 39 |
| abstract_inverted_index.Patients | 185 |
| abstract_inverted_index.analyzed | 96 |
| abstract_inverted_index.arterial | 11 |
| abstract_inverted_index.compared | 24 |
| abstract_inverted_index.diabetes | 191 |
| abstract_inverted_index.disease, | 66, 122, 154 |
| abstract_inverted_index.disease. | 12, 211 |
| abstract_inverted_index.interest | 5 |
| abstract_inverted_index.ischemic | 86, 178, 199 |
| abstract_inverted_index.patients | 51 |
| abstract_inverted_index.persons. | 98 |
| abstract_inverted_index.presence | 62 |
| abstract_inverted_index.previous | 120, 152, 209 |
| abstract_inverted_index.quantify | 16 |
| abstract_inverted_index.according | 59 |
| abstract_inverted_index.all-cause | 80, 130 |
| abstract_inverted_index.diabetes, | 64, 118, 146 |
| abstract_inverted_index.diabetes. | 164 |
| abstract_inverted_index.follow-up | 91 |
| abstract_inverted_index.incidence | 180 |
| abstract_inverted_index.including | 49 |
| abstract_inverted_index.increased | 172, 193 |
| abstract_inverted_index.mortality | 20, 131 |
| abstract_inverted_index.outcomes, | 23 |
| abstract_inverted_index.performed | 32 |
| abstract_inverted_index.presented | 192 |
| abstract_inverted_index.reference | 114 |
| abstract_inverted_index.(<0.9). | 70 |
| abstract_inverted_index.(SIDIAPQ), | 46 |
| abstract_inverted_index.calculated | 72 |
| abstract_inverted_index.classified | 58 |
| abstract_inverted_index.incidences | 74 |
| abstract_inverted_index.indicators | 27 |
| abstract_inverted_index.mortality, | 81, 173, 194 |
| abstract_inverted_index.myocardial | 83, 175, 196 |
| abstract_inverted_index.particular | 4 |
| abstract_inverted_index.peripheral | 10 |
| abstract_inverted_index.prevention | 1 |
| abstract_inverted_index.subgroups. | 184 |
| abstract_inverted_index.association | 18 |
| abstract_inverted_index.conclusion, | 166 |
| abstract_inverted_index.infarction, | 84, 176, 197 |
| abstract_inverted_index.2006–2015, | 48 |
| abstract_inverted_index.asymptomatic | 9 |
| abstract_inverted_index.measurement, | 57 |
| abstract_inverted_index.participants | 167 |
| abstract_inverted_index.(1.25–1.63) | 134 |
| abstract_inverted_index.(1.26–1.45) | 142 |
| abstract_inverted_index.(1.34–1.69) | 148 |
| abstract_inverted_index.(1.68–2.01) | 157 |
| abstract_inverted_index.retrospective | 34 |
| abstract_inverted_index.Cardiovascular | 0 |
| abstract_inverted_index.cardiovascular | 22, 65, 121, 153, 210 |
| abstract_inverted_index.35–85-year-old | 50 |
| abstract_inverted_index.ankle–brachial | 54, 125, 188 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5058855313 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I251424209, https://openalex.org/I2799562678, https://openalex.org/I4210113168, https://openalex.org/I4210129525 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.95036517 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |