Post-stroke Depression
Conditions
Brief summary
Post-stroke depression (PSD) is the most common neuropsychiatric disorder after a stroke, with an incidence rate of 20% to 60%. PSD is not only associated with higher mortality rates, poorer recovery, more obvious cognitive impairments, greater economic burdens, and lower quality of life, but also brings additional medical expenses and care pressure to families. Society also needs to bear higher medical costs. Currently, the early diagnosis of PSD is difficult, which may lead to poor prognosis after stroke. This study aims to utilize machine learning technology to integrate multi-dimensional indicators of patients with ischemic stroke, establish a risk prediction model for PSD, and assist in early, accurate, and individualized assessment of PSD risk in clinical practice.
Interventions
DIAGNOSTIC_TESTGroup patients based on whether they have been diagnosed with PSD.
Group patients based on whether they have been diagnosed with PSD.
Sponsors
Min Su
Chongqing Traditional Chinese Medicine Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* Patients with acute ischemic stroke; * Admission within 7 days of symptom onset; * The patient and/or the family members sign a written informed consent form.
Exclusion criteria
* Confusion of consciousness,severe cognitive impairment, etc * Individuals with a history of depression, schizophrenia, bipolar disorder, etc; * Individuals unable to participate in neuropsychological examinations due to hearing im pairments, lack of coordination, or neurological deficits, including se vere aphasia.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The number of post-stroke depression (PSD) that occurs 3 months after stroke | 3 months after stroke |
Countries
China
Contacts
CONTACTYanping Zhang
Outcome results
None listed