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Published on: December 7, 2013
Significant association between three atherosclerosis indexes and stroke risk
Xin Wang1, Lili Wu2, Peng Shu3
1Department of Neurosurgery, Beilun District People's Hospital, Ningbo, Zhejiang, China.
Insights
Three atherosclerosis indexes, including the atherogenic index of plasma (AIP), Castelli risk index I (CRI-I), and Castelli risk index II (CRI-II), predict stroke risk in older Chinese adults.
Area of Science:
- Cardiovascular epidemiology
- Geriatric medicine
- Biomarkers of atherosclerosis
Background:
- Atherosclerosis is a major risk factor for stroke, particularly in older populations.
- Identifying reliable predictors of stroke is crucial for preventative strategies in elderly individuals.
Purpose of the Study:
- To investigate the association between three atherosclerosis indexes and the risk of stroke.
- To evaluate the predictive value of the atherogenic index of plasma (AIP), Castelli risk index I (CRI-I), and Castelli risk index II (CRI-II) for stroke in adults aged 65 and older.
Main Methods:
- Utilized data from the China Health and Retirement Longitudinal Study (2011-2015).
- Employed multivariate logistic regression models and restricted cubic splines to analyze stroke risk.
- Assessed associations across quartiles and as continuous variables for the three indexes.
Main Results:
- Higher quartiles of AIP, CRI-I, and CRI-II were associated with increased stroke risk (ORs ranging from 1.35 to 1.52).
- Per-unit increases in AIP, CRI-I, and CRI-II were independently linked to higher stroke risk (ORs: 1.49, 1.06, and 1.14, respectively).
- Significant associations were observed after multivariate adjustments.
Conclusions:
- The atherogenic index of plasma (AIP), Castelli risk index I (CRI-I), and Castelli risk index II (CRI-II) are significant predictors of stroke.
- These atherosclerosis indexes may aid in identifying elderly individuals at higher risk for stroke in the Chinese population.
Background:
To evaluate the associations of three atherosclerosis indexes with stroke in a population aged 65 years and older.
Methods:
A sample was obtained from wave 2011 to wave 2015 of the China Health and Retirement Longitudinal Study. Multivariate logistic regression models were used to estimate odds ratios (ORs) with 95% confidence intervals (CIs) for stroke in the quartiles of three atherosclerosis indexes, and restricted cubic splines were constructed.
Results:
Four hundred and fifty-four of the 21,913 eligible participants had stroke. After multivariate adjustments and with respect to the lowest quartiles, the ORs (95% CIs) of stroke in the highest quartiles of the atherogenic index of plasma (AIP), the Castelli risk index I (CRI-I), and the Castelli risk index II (CRI-II) were 1.35 (0.99-1.83), 1.52 (1.13-2.06), and 1.40 (1.05-1.86), respectively. When assessed as a continuous exposure, per-unit increases in the AIP, CRI-I, and CRI-II were independently associated with a 49% (OR: 1.49, 95% CI: 1.07-2.08), 6% (OR: 1.06, 95% CI: 1.02-1.11), and 14% (OR: 1.14, 95% CI: 1.03-1.27) increase in the risk of stroke, respectively.
Conclusion:
The three atherosclerosis indexes studied-the AIP, CRI-I, and CRI-II-were found to be predictors of stroke in a Chinese population.
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