{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T15:57:00Z","timestamp":1786636620573,"version":"build-2736575974"},"reference-count":45,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aim<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      1) 327 patients meeting the study criteria were included. Univariate analysis showed that 13 factors were statistically significantly (\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.05). 2) Multivariate logistic regression model showed that age (Age 1 [OR, 14.315; 95% CI, 6.662\u201330.757;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.000], Age 2 [OR, 53.062; 95% CI, 15.661\u2013179.783;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.000]), elevated systolic blood pressure (SBP 1 (OR, 2.927; 95% CI, 1.224\u20137.003;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.016), SBP 3 (OR, 15.109; 95% CI, 1.380\u2013165.385;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.026)), ischemic\u00a0stroke (OR, 5.990; 95% CI, 2.594\u201313.846;\n                      <jats:italic>p<\/jats:italic>\n                      = 0.000), and FT4 (OR, 4.836; 95% CI, 2.086\u201311.216;\n                      <jats:italic>p<\/jats:italic>\n                      = 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%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>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 \u201cage, systolic blood pressure, ischemic\u00a0stroke, FT4\u201d may have relatively ideal sensitivity and specificity in predicting the development of leukoaraiosis.<\/jats:p>\n                  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Hospital of the Western Theater of the Chinese People's Liberation Army  Chengdu Sichuan People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Fang","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology Air Force Hospital of the Western Theater of the Chinese People's Liberation Army  Chengdu Sichuan People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology West China Hospital Sichuan University  Chengdu Sichuan People's Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangdong","family":"Tang","sequence":"additional","affiliation":[{"name":"Sleep Medicine Center, Mental Health Center West China Hospital, Sichuan University  Chengdu Sichuan People's Republic of 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