Why the study?
The relationship between the atherogenic index of plasma and ischemic stroke required investigation.
Does the atherogenic index of plasma (AIP) correlate with the prevalence of ischemic stroke in a general rural population?
Does the atherogenic index of plasma (AIP) correlate with the prevalence of ischemic stroke in a general rural population?
The atherogenic index of plasma is independently and positively associated with the prevalence of ischemic stroke in a rural Chinese population, enhancing risk estimation.
AIP should not yet inform stroke prevention; leaves open its added value beyond standard lipids in prospective studies.
OBJECTIVE: To investigate the relationship between the atherogenic index of plasma (AIP) and ischemic stroke. DESIGN: We collected a range of data from 11,495 residents (aged ≥35 years; 54.28% female) residing in rural areas of northeast China between January and August 2013, including fasting lipid profile and anthropometric parameters. Logistic regression models were used to evaluate the correlation between AIP and ischemic stroke. Category-free analysis was used to determine whether AIP enhanced our capacity to estimate ischemic stroke. RESULTS: = 0.08). After adjusting for age, gender, income, education, smoking, drinking, exercise, hypertension, body mass index (BMI), diabetes, atrial fibrillation, and a family history of stroke, we found that for every 1 standard deviation (SD) increase in AIP, there was a 34.8% and 20.9% increase in the prevalence of stroke for females and males, respectively. Curve fitting was also used to evaluate the linear relationship between AIP and the occurrence of ischemic stroke. Category-free analysis indicated that AIP significantly enhanced our ability to estimate ischemic stroke in both females (NRI (95% confidence interval (CI)): 0.188 (0.105-0.270)) and males (NRI (95% CI): 0.175 (0.017-0.333)). CONCLUSION: Analyses detected a significant and positive linear relationship between AIP and the prevalence of ischemic stroke. This relationship was independent of a range of conventional risk factors.
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Wang et al. (2020) studied this question.
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