Development and Validation of the Prediction Model for Cognitive Impairment

July 19, 2022 updated by: Shenzhen Second People's Hospital

Development and Validation of the Prediction Model for Cognitive Impairment in Elderly Patients After Acute Ischemic Stroke

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.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

This study consists of two parts. The first part is to develop a predictive model for cognitive impairment in elderly patients with acute ischemic stroke. Continuously collect the baseline data and follow-up data of elderly AIS patients admitted to the Shenzhen Second People's Hospital from September 2022 to December 2023, including general demographic data, laboratory examination indicators, imaging indicators and assessment scales. Take the occurrence of PSCI as the dependent variable and the risk factors of PSCI in elderly AIS patients will be analyzed. Multivariate Cox regression will be used to develop a prediction model for cognitive impairment in elderly AIS patients.

The second part is to do clinical evaluation of prediction model of cognitive impairment in elderly patients with acute ischemic stroke. Bootstrap method will be used for internal validation of the model. Continuously collect the data of elderly AIS patients from January 2024 to December 2024 from the other two hospitals in Guangdong Province, China. Externally validate the model and evaluate the clinical application effect of PSCI prediction model in elderly AIS patients using C-index, reclassification index, calibration curve, time-dependent ROC curve and other indicators. Finally, the model is presented by nomogram.

Study Type

Observational

Enrollment (Anticipated)

496

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

60 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The elderly patients with acute ischemic stroke.

Description

Inclusion Criteria:

  1. Patients age 60 years or older.
  2. Stroke occurring within 7 days.
  3. Meet the diagnostic criteria of Chinese Guidelines for the Diagnosis and Treatment of Acute ischemic Stroke 2018.
  4. Informed consent.

Exclusion Criteria:

  1. Incomplete main clinical data;
  2. Patients with transient ischemic attack;
  3. Patients had cognitive dysfunction before enrollment.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
MMSE score
Time Frame: From July 1, 2022 to May 31, 2025
The primary outcome will be assessed by the Mini-mental State Examination(MMSE) scale
From July 1, 2022 to May 31, 2025

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Xiaohua Xie, master, Shenzhen Second People's Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

September 1, 2022

Primary Completion (Anticipated)

December 31, 2023

Study Completion (Anticipated)

September 30, 2024

Study Registration Dates

First Submitted

July 18, 2022

First Submitted That Met QC Criteria

July 19, 2022

First Posted (Actual)

July 20, 2022

Study Record Updates

Last Update Posted (Actual)

July 20, 2022

Last Update Submitted That Met QC Criteria

July 19, 2022

Last Verified

June 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Stroke, Acute

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