# Analysis of Risk Factors for Leukoaraiosis: A Multicenter Retrospective Study

## TL;DR

This study identifies age, high blood pressure, stroke history, and FT4 levels as key risk factors for leukoaraiosis, a brain imaging marker linked to cognitive decline.

## Contribution

The study introduces a predictive model combining age, systolic blood pressure, ischemic stroke, and FT4 levels for leukoaraiosis risk assessment.

## Key findings

- Age, elevated systolic blood pressure, ischemic stroke, and FT4 levels are independent risk factors for leukoaraiosis.
- A predictive model using these factors achieved 85.2% sensitivity and specificity in diagnosing leukoaraiosis.

## Abstract

Leukoaraiosis is a common imaging marker of cerebral small vessel disease. There is now increasing evidence shows the relationship between leukoaraiosis and cognitive impairment, high risk of death after stroke. The aim of this study was to analyze the risk factors clinically associated with the development of leukoaraiosis, and to explore clinical biomarkers that may predict leukoaraiosis.

Inpatients were continuously recruited from July 2014 to October 2020. After admission, the cranial MRI examination was evaluated, and the severity of leukoaraiosis were evaluated and graded. Vascular risk factors and relevant clinical data were collected. Univariate analysis was used to analyze the parameters, and multivariate logistic regression analysis was used to analyze the statistically significant parameters. The analysis results were plotted as ROC curve to find out the diagnostic accuracy of the model.

1) 327 patients meeting the study criteria were included. Univariate analysis showed that 13 factors were statistically significantly (p < 0.05). 2) Multivariate logistic regression model showed that age (Age 1 [OR, 14.315; 95% CI, 6.662–30.757; p = 0.000], Age 2 [OR, 53.062; 95% CI, 15.661–179.783; p = 0.000]), elevated systolic blood pressure (SBP 1 (OR, 2.927; 95% CI, 1.224–7.003; p = 0.016), SBP 3 (OR, 15.109; 95% CI, 1.380–165.385; p = 0.026)), ischemic stroke (OR, 5.990; 95% CI, 2.594–13.846; p = 0.000), and FT4 (OR, 4.836; 95% CI, 2.086–11.216; p = 0.000) were independent risk factors for leukoaraiosis. 3) The ROC curve indicated the accuracy of diagnosis on leukoaraiosis is 0.906, and the positive rate and negative rate are both 85.2%.

1) Our findings support age, systolic blood pressure, ischemic stroke, and FT4 level serving as factors affecting the development of leukoaraiosis. 2) The model of “age, systolic blood pressure, ischemic stroke, FT4” may have relatively ideal sensitivity and specificity in predicting the development of leukoaraiosis.

This study was to analyze the risk factors clinically associated with the development of leukoaraiosis, and to explore clinical biomarkers that may predict leukoaraiosis. The results demonstrate that age, systolic blood pressure, ischemic stroke, and FT4 level serving as factors affecting the development of leukoaraiosis.