Document Detail


Inpatient cardiopulmonary resuscitation: is survival prediction possible?
MedLine Citation:
PMID:  1749979     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We retrospectively reviewed 443 patients who had cardiopulmonary resuscitation (CPR). The focus of the study was to discover what preexisting factors should be assessed to determine the probability of survival. There were 88 successes out of 340 cases (25.9%). The absence of a previous myocardial infarction (MI), shock, partial pressure of oxygen (PaO2) less than 60 mm Hg, blood urea nitrogen (BUN) level greater than 20 mg/dL, pneumonia, pulmonary edema, and oliguria were found to predict a successful outcome. Logistic regression was used to predict percentage of successes in the various groups of patients with various clinical characteristics. The observed and predicted numbers of successes were in close agreement in most cases. We also constructed a classification function to predict whether an individual subject would survive the event for which CPR was required. Sixty-seven of the 88 observed successes would have been predicted, for an estimated sensitivity of 76%, and 164 of the 252 failures would have been predicted, for an estimated specificity of 65%. A large percentage (24%) of cases in which the patient actually survived CPR would have been predicted to be failures. We conclude that preexisting factors before a cardiopulmonary arrest do not accurately predict survival after CPR.
Authors:
M E Lawrence; L Price; M Riggs
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Southern medical journal     Volume:  84     ISSN:  0038-4348     ISO Abbreviation:  South. Med. J.     Publication Date:  1991 Dec 
Date Detail:
Created Date:  1992-01-23     Completed Date:  1992-01-23     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0404522     Medline TA:  South Med J     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1462-6     Citation Subset:  AIM; IM    
Affiliation:
Scott and White Clinic and Memorial Hospital, Temple, Tex.
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MeSH Terms
Descriptor/Qualifier:
Aged
Female
Hospitalization*
Humans
Male
Middle Aged
Mortality*
Predictive Value of Tests
Probability
Prognosis
Resuscitation*
Retrospective Studies
Risk Factors
Comments/Corrections
Comment In:
South Med J. 1992 Jul;85(7):782-3   [PMID:  1631705 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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