Common Carotid Artery Stenosis Degree as a Predictor of Cardiovascular Disease in a General Population: The Suita Study Article Swipe
Masayuki Teramoto
,
Yoshihiro Kokubo
,
Ahmed Arafa
,
Rena Kashima
,
Yoko M. Nakao
,
Haytham A. Sheerah
,
Hiroharu Kataoka
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1161/jaha.123.030828
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1161/jaha.123.030828
Background The utility of screening for the degree of common carotid artery (CCA) stenosis as a predictor of cardiovascular disease (CVD) in a general population remains unclear. Methods and Results We studied 4775 Japanese men and women whose CCA was measured using bilateral carotid ultrasonography at baseline (April 1994–August 2001). We calculated the degree of stenosis as a percentage of the stenotic area of the lumen in the cross‐section perpendicular to the long axis. The Cox proportional hazards model was used to calculate multivariable‐adjusted hazard ratios (HRs) with 95% CIs for incident CVD and its subtypes according to the degree of CCA stenosis. During the median 14.2 years of follow‐up, 385 incident CVD events (159 coronary heart disease and 226 stroke) were documented. The degree of CCA stenosis was associated with increased risks of incident CVD, coronary heart disease, and stroke, with multivariable‐adjusted HRs (95% CIs) for <25%, 25%–49%, and ≥50% stenosis with plaque compared with no CCA plaque of 1.37 (1.07–1.76), 1.72 (1.23–2.40), and 2.49 (1.69–3.67), respectively. Adding the CCA stenosis degree to traditional CVD risk factors increased Harrell's C statistics (0.772 [95% CI, 0.751–0.794] to 0.778 [95% CI, 0.758–0.799]; P =0.04) and improved the 10‐year risk prediction ability (integrated discrimination improvement, 0.0129 [95% CI, 0.0078–0.0179]; P <0.001; continuous net reclassification improvement, 0.1598 [95% CI, 0.0297–0.2881]; P =0.01). Conclusions The degree of CCA stenosis may be used as a predictive marker for the development of CVD in the general population.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1161/jaha.123.030828
- https://www.ahajournals.org/doi/pdf/10.1161/JAHA.123.030828
- OA Status
- gold
- Cited By
- 3
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389998093
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Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4389998093Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1161/jaha.123.030828Digital Object Identifier
- Title
-
Common Carotid Artery Stenosis Degree as a Predictor of Cardiovascular Disease in a General Population: The Suita StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-20Full publication date if available
- Authors
-
Masayuki Teramoto, Yoshihiro Kokubo, Ahmed Arafa, Rena Kashima, Yoko M. Nakao, Haytham A. Sheerah, Hiroharu KataokaList of authors in order
- Landing page
-
https://doi.org/10.1161/jaha.123.030828Publisher landing page
- PDF URL
-
https://www.ahajournals.org/doi/pdf/10.1161/JAHA.123.030828Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.ahajournals.org/doi/pdf/10.1161/JAHA.123.030828Direct OA link when available
- Concepts
-
Medicine, Stenosis, Cardiology, Internal medicine, Stroke (engine), Hazard ratio, Population, Proportional hazards model, Coronary artery disease, Common carotid artery, Carotid arteries, Confidence interval, Environmental health, Mechanical engineering, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 3Per-year citation counts (last 5 years)
- References (count)
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40Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.women | 36 |
| abstract_inverted_index.years | 107 |
| abstract_inverted_index.(0.772 | 182 |
| abstract_inverted_index.(April | 47 |
| abstract_inverted_index.0.0129 | 203 |
| abstract_inverted_index.0.1598 | 213 |
| abstract_inverted_index.2001). | 49 |
| abstract_inverted_index.=0.04) | 192 |
| abstract_inverted_index.Adding | 168 |
| abstract_inverted_index.During | 103 |
| abstract_inverted_index.artery | 11 |
| abstract_inverted_index.common | 9 |
| abstract_inverted_index.degree | 7, 53, 99, 124, 172, 221 |
| abstract_inverted_index.events | 113 |
| abstract_inverted_index.hazard | 84 |
| abstract_inverted_index.marker | 231 |
| abstract_inverted_index.median | 105 |
| abstract_inverted_index.plaque | 153, 158 |
| abstract_inverted_index.ratios | 85 |
| abstract_inverted_index.≥50% | 150 |
| abstract_inverted_index.=0.01). | 218 |
| abstract_inverted_index.Methods | 27 |
| abstract_inverted_index.Results | 29 |
| abstract_inverted_index.ability | 199 |
| abstract_inverted_index.carotid | 10, 43 |
| abstract_inverted_index.disease | 19, 117 |
| abstract_inverted_index.factors | 177 |
| abstract_inverted_index.general | 23, 239 |
| abstract_inverted_index.hazards | 77 |
| abstract_inverted_index.remains | 25 |
| abstract_inverted_index.stroke) | 120 |
| abstract_inverted_index.stroke, | 140 |
| abstract_inverted_index.studied | 31 |
| abstract_inverted_index.utility | 2 |
| abstract_inverted_index.<25%, | 147 |
| abstract_inverted_index.Japanese | 33 |
| abstract_inverted_index.baseline | 46 |
| abstract_inverted_index.compared | 154 |
| abstract_inverted_index.coronary | 115, 136 |
| abstract_inverted_index.disease, | 138 |
| abstract_inverted_index.improved | 194 |
| abstract_inverted_index.incident | 91, 111, 134 |
| abstract_inverted_index.measured | 40 |
| abstract_inverted_index.stenosis | 13, 55, 127, 151, 171, 224 |
| abstract_inverted_index.stenotic | 61 |
| abstract_inverted_index.subtypes | 95 |
| abstract_inverted_index.unclear. | 26 |
| abstract_inverted_index.10‐year | 196 |
| abstract_inverted_index.Harrell's | 179 |
| abstract_inverted_index.according | 96 |
| abstract_inverted_index.bilateral | 42 |
| abstract_inverted_index.calculate | 82 |
| abstract_inverted_index.increased | 131, 178 |
| abstract_inverted_index.predictor | 16 |
| abstract_inverted_index.screening | 4 |
| abstract_inverted_index.stenosis. | 102 |
| abstract_inverted_index.<0.001; | 208 |
| abstract_inverted_index.25%–49%, | 148 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.associated | 129 |
| abstract_inverted_index.calculated | 51 |
| abstract_inverted_index.continuous | 209 |
| abstract_inverted_index.percentage | 58 |
| abstract_inverted_index.population | 24 |
| abstract_inverted_index.prediction | 198 |
| abstract_inverted_index.predictive | 230 |
| abstract_inverted_index.statistics | 181 |
| abstract_inverted_index.(integrated | 200 |
| abstract_inverted_index.Conclusions | 219 |
| abstract_inverted_index.development | 234 |
| abstract_inverted_index.documented. | 122 |
| abstract_inverted_index.population. | 240 |
| abstract_inverted_index.traditional | 174 |
| abstract_inverted_index.follow‐up, | 109 |
| abstract_inverted_index.improvement, | 202, 212 |
| abstract_inverted_index.proportional | 76 |
| abstract_inverted_index.1994–August | 48 |
| abstract_inverted_index.perpendicular | 69 |
| abstract_inverted_index.respectively. | 167 |
| abstract_inverted_index.(1.07–1.76), | 161 |
| abstract_inverted_index.(1.23–2.40), | 163 |
| abstract_inverted_index.(1.69–3.67), | 166 |
| abstract_inverted_index.0.751–0.794] | 185 |
| abstract_inverted_index.cardiovascular | 18 |
| abstract_inverted_index.discrimination | 201 |
| abstract_inverted_index.0.758–0.799]; | 190 |
| abstract_inverted_index.cross‐section | 68 |
| abstract_inverted_index.ultrasonography | 44 |
| abstract_inverted_index.reclassification | 211 |
| abstract_inverted_index.0.0078–0.0179]; | 206 |
| abstract_inverted_index.0.0297–0.2881]; | 216 |
| abstract_inverted_index.multivariable‐adjusted | 83, 142 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.5099999904632568 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.79158282 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |