Open AccessUrinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression
Author(s) -
Chen Jin,
Yanni Lv,
Xiaobing Li,
Junjie Xiong,
Huiting Liang,
Liang Xie,
Chenyi Wan,
Yunqing Chen,
Han-Sen Wang,
Pan Liu,
Heqing Zheng
Publication year - 2021
Publication title -
neuropsychiatric disease and treatment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 67
eISSN - 1178-2021
pISSN - 1176-6328
DOI - 10.2147/ndt.s299835
Subject(s) - medicine , depression (economics) , stroke (engine) , phenylalanine , univariate analysis , urinary system , multivariate analysis , biochemistry , amino acid , engineering , economics , macroeconomics , mechanical engineering , chemistry
Post-stroke depression (PSD) is a major complication in stroke survivors, especially in elderly stroke survivors. But there are still no objective methods to diagnose depression in elderly stroke survivors. Thus, this study was conducted to identify potential biomarkers for diagnosing elderly PSD subjects.