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

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.

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Key information

Conditions

Aortic Dissection Acute Aortic Syndrome Aneurysm Aortic Diseases Cardiovascular Diseases Dissection, Blood Vessel Vascular Diseases

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Observational

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Stanford type A dissection
Stanford type B dissection

Exclusion criteria

Treatment and study plan

Primary outcomes

death after 5 years after the onset of dissection

Time frame: 5 years

participants have been followed for 5 years after the onset of dissection

Sponsors and collaborators

Lead sponsor

Central South University

Other

Registry information

Important dates

Study start: 2002
Primary completion: 2012
Study completion: 2012
First posted: Feb 4, 2013
Registry last updated: Feb 26, 2013

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed