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Development and Validation of the Prediction Model for Cognitive Impairment

NCT05465980 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 496

Last updated 2022-07-20

No results posted yet for this study

Summary

According to the "Chinese Stroke Report" released in 2020, the incidence of stroke in China is 1114.8/100,000, acute ischemic stroke (AIS) accounts for 70% to 80% of the total number of stroke population, and elderly stroke patients are up to 2/3. About 1/3 of stroke patients would experience post-stroke cognitive impairment (PSCI), which seriously affected patients' quality of life and survival time, and increases disease and economic burden. Therefore, early identification, assessment, prevention and intervention of PSCI, and improvement of patients' quality of life and prognosis have become the focus of clinical research.

This is a prospective cohort study. We intend to: (1) continuously collect elderly AIS patients who will be admitted to the Department of Neurology, The Department of Rehabilitation and the Department of Gerontology of Shenzhen Second People's Hospital from 2022 year to 2024 year; (2) collect baseline and follow-up data, and build a prediction model for cognitive impairment in elderly AIS patients; (3) internal validation using Bootstrap model; (4) collect the data of the elderly AIS patients who will be admitted to Shenzhen Longhua District People's Hospital andShenzhen Longgang Central Hospital, and conduct external validation; (5) evaluate the predictive efficacy of the model.

Conditions

  • Stroke, Acute

Sponsors & Collaborators

  • Shenzhen Second People's Hospital

    lead OTHER

Principal Investigators

  • Xiaohua Xie, master · Shenzhen Second People's Hospital

Eligibility

Min Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-09-01
Primary Completion
2023-12-31
Completion
2024-09-30

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05465980 on ClinicalTrials.gov