An EHR-based Platform To Facilitate Outcomes and Research Methods in Cerebrovascular Diseases

NCT ID: NCT04775836

Last Updated: 2021-03-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

300000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-01-01

Study Completion Date

2021-12-31

Brief Summary

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In this protocol, the investigators present methods and preliminary results from the PLATFORM-CVD Study, an EHR-based multicenter cohort. This study will focus on assessing the distribution of major cerebrovascular diseases, determining the risk factors associated with disease incidence and worse in-hospital outcomes, as well as describing the quality of care. Data from this cohort will be used to develop suitable prediction models for cerebrovascular diseases using real-world data and to understand how outcomes for cerebrovascular diseases would change with quality improvement interventions.

Detailed Description

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Adherence to healthcare quality measures is needed to reduce the burden of cerebrovascular disease and improve clinical outcomes. Electronic health records (EHRs) can facilitate the standardization of care provision and the improvement of disease prediction and prevention. Although the EHRs in clinical settings are increasingly prevalent in China, they are rarely used for healthcare research. the investigators aimed to conduct an EHR-based registry study to improve the healthcare and outcomes for cerebrovascular diseases.

Twenty-four hospitals were enrolled in the PLATFORM-CVD Study in January 2018. Data collection began on February 1st, 2019. Historical data from January 2017 are abstracted first and prospective data are continuously reported until May 20th, 2020. Data were abstracted from the medical records, including hospital information system, laboratory information management system, and picture archiving and communication systems by an extract-transform-load tool. The EHR system included diagnostic information for cerebral infarctions (I63), nontraumatic intracerebral hemorrhages (I61), nontraumatic subarachnoid hemorrhages (I60), transient cerebral ischemic attacks and related syndromes (G45), intracranial and intraspinal phlebitis and thrombophlebitis (G08), vascular dementia (F01), and other aneurysms (I72). The quality of stroke care was assessed by 21 evidence-based performance measures. In-hospital outcomes were calculated including mortality, length of stay, and costs.

The PLATFORM-CVD Study leverages EHRs to better understand incident cerebrovascular diseases in China. Data from this cohort will serve as a unique platform for quality assessment and improvement for acute treatment and secondary prevention of cerebrovascular diseases, as well as in-hospital outcome risk predictions and health economic evaluations.

Conditions

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Stroke Cerebrovascular Diseases Cerebral Infarction Cerebral Hemorrhage Transient Ischemic Attack Subarachnoid Hemorrhage

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients were included in the registry if they were hospitalized with a primary diagnose of:
* cerebral infarction (I63)
* nontraumatic intracerebral hemorrhage (I61)
* nontraumatic subarachnoid hemorrhage (I60)
* transient cerebral ischemic attack and related syndromes (G45)
* intracranial and intraspinal phlebitis and thrombophlebitis (G08)
* vascular dementia (F01)
* other aneurysms (I72)

Exclusion Criteria

* Patients diagnosed with other diseases.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Dalian Jiuzhou Century Hospital

UNKNOWN

Sponsor Role collaborator

Dengzhou Central Hospital

UNKNOWN

Sponsor Role collaborator

Guangxi Ruikang Hospital

OTHER

Sponsor Role collaborator

Guangdong Second Provincial General Hospital

OTHER

Sponsor Role collaborator

Handan Central Hospital

OTHER

Sponsor Role collaborator

Xunxian People's Hospital

UNKNOWN

Sponsor Role collaborator

Kaifeng Central Hospital

OTHER

Sponsor Role collaborator

Laoling People's Hospital

UNKNOWN

Sponsor Role collaborator

New Area People's Hospital of Luoyang

UNKNOWN

Sponsor Role collaborator

Chinese Traditional Medicine Hospital of Meishan

UNKNOWN

Sponsor Role collaborator

Mengjin People's Hospital

UNKNOWN

Sponsor Role collaborator

Nanyang Central Hospital

OTHER

Sponsor Role collaborator

Hexigten Banner Mongolian Traditional Chinese Medicine Hospital

UNKNOWN

Sponsor Role collaborator

Inner Mongolian Hospital of Traditional Chinese Medicine

UNKNOWN

Sponsor Role collaborator

The Affiliated Hospital of Qingdao University

OTHER

Sponsor Role collaborator

Renqiu Kangjixintu Hospital

UNKNOWN

Sponsor Role collaborator

Shenzhen Second People's Hospital

OTHER

Sponsor Role collaborator

Wuhan No.1 Hospital

OTHER

Sponsor Role collaborator

Xingtai City Ninth Hospital

UNKNOWN

Sponsor Role collaborator

Yilong People's Hospital

UNKNOWN

Sponsor Role collaborator

Yongcheng City Central Hospital

UNKNOWN

Sponsor Role collaborator

Chongqing Donghua Hospital

UNKNOWN

Sponsor Role collaborator

The Second Affiliated Hospital of Luohe Medical College

UNKNOWN

Sponsor Role collaborator

Ministry of Science and Technology of the People´s Republic of China

OTHER_GOV

Sponsor Role lead

Responsible Party

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Yongjun Wang, MD

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Zi-Xiao Li, PhD

Role: PRINCIPAL_INVESTIGATOR

Beijing Tiantan Hospital

Locations

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Beijing Tiantan Hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Meng Wang, PhD

Role: CONTACT

13261053863

Xin Yang, PhD

Role: CONTACT

13552336551

Facility Contacts

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Meng Wang, PhD

Role: primary

13261053863

Other Identifiers

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2017YFC1310901

Identifier Type: -

Identifier Source: org_study_id

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