alexa Clinical assessments as predictors of one year survival after hospitalization: implications for prognostic stratification.
Neurology

Neurology

Journal of Spine

Author(s): Pompei P, Charlson ME, Douglas RG Jr

Abstract Share this page

Abstract In clinical trials measuring the short term survival of patients, prognostic stratification is important to avoid susceptibility bias. Demographic and disease specific clinical features are commonly used to established similarity, but these may not insure prognostic comparability. To identify the generic predictors of one year survival after hospitalization, a cohort of 559 patients admitted to the medical service at New York Hospital was studied. Among all of the clinical and demographic information available at the time of admission, only three were independent predictors of the time until death: functional ability, severity of illness and extent of comorbid disease. The overall one year survival rate was 66\%. Six subgroups composed of patients with different combinations of the predictors of prognosis had mortality rates ranging from 97\% to 14\%. Illness severity was a predictor only in the less functional patients, and only severe comorbidity was associated with a decreased survival after taking into account functional ability and illness severity. Prospective estimates of severity of illness, functional ability and extent of comorbidity can be used to stratify a diverse group of patients according to their probability of one year survival after hospitalization.
This article was published in J Clin Epidemiol and referenced in Journal of Spine

Relevant Expert PPTs

Recommended Conferences

  • 18th Global Neurologists Annual Meeting on Neurology and Neurosurgery
    Nov 13-15, 2017, Athens, Greece
  • 2nd International Conference on Pediatric Neurology  
    August 31-September 01, 2017 Prague, Czech Republic
  • 12th Global Neurologists Annual Meeting on Neurology and Neurosurgery
    November 16-18, 2017 Lisbon, Portugal

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords