Logistic Regression of Risk Factor for the 5-year Mortality of Aortic Dissection

NCT ID: NCT01782534

Last Updated: 2013-02-26

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

COMPLETED

Total Enrollment

111 participants

Study Classification

OBSERVATIONAL

Study Start Date

2002-08-31

Study Completion Date

2012-08-31

Brief Summary

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The relevant predictive hospital risk factors for 5-year mortality of patients with aortic dissection is untill unlear. The aim of this study is to collect the clinical data of 111 hospitalized patients admitted to hospital from Aug. 2001 to Aug. 2007, and statistically analyze the hospital risk factors related to 5-year mortality by univariate and multivariate binary logistic regression.

Detailed Description

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Clinical data were collected from 111 hospitalized patients admitted to hospital from Aug. 2001 to Aug.2007, and the related factors for death within 5 years after the onset of dissection, which include Gender, age, history of smoking, hypertension, diabetes, renal insufficiency (azotemia), low admission diastolic blood pressure (\<70mmHg), Stanford typing (Stanford A or B), long-acting calcium channel blocker treatment,ACEI /ARB treatment, endovascular stent and surgical aortic replacement,were statistically analyzed by univariate and multivariate binary logistic regression.

Conditions

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Aortic Dissection

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

RETROSPECTIVE

Study Groups

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aortic dissection

aortic dissection

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Stanford type A dissection
* Stanford type B dissection
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Central South University

OTHER

Sponsor Role lead

Responsible Party

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Zhishan SUN

Xiangtan City central Hospital affiliated to Central South university

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Zhishan SUN, doctor

Role: PRINCIPAL_INVESTIGATOR

Central South University

Other Identifiers

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LR-RF-AD

Identifier Type: -

Identifier Source: org_study_id

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