Document Detail


Predicting results in the orthoptic treatment of accommodative dysfunction.
MedLine Citation:
PMID:  6720864     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A retrospective analysis of the records of 114 orthoptic patients diagnosed as having accommodative dysfunction (accommodative insufficiency, fatigue of accommodation, infacility of accommodation, or spasm of accommodation) has allowed the construction of models of the results of orthoptic treatment. Discriminant analysis completed on various samples of the group provides linearized discriminant functions for the success of the treatment (either total or partial/none) and for the change in accommodative amplitude. These data indicate that linearized discriminant functions using the age and AC/A ratio of the patient are effective in postpredicting the success category of 60% of a calibration sample of 99 patients. Similar functions using the patient's age, initial accommodative amplitude, and blur value of the near positive vergences allow the postprediction of the category of change in accommodative amplitude with treatment (3 D or more vs. 2 D or less). Seventy-eight percent of a sample of 68 patients were correctly classified. The application of these models in predicting the results of treatment of similarly afflicted subjects is discussed.
Authors:
K M Daum
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  American journal of optometry and physiological optics     Volume:  61     ISSN:  0093-7002     ISO Abbreviation:  Am J Optom Physiol Opt     Publication Date:  1984 Mar 
Date Detail:
Created Date:  1984-06-11     Completed Date:  1984-06-11     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0417614     Medline TA:  Am J Optom Physiol Opt     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  184-9     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Accommodation, Ocular*
Humans
Models, Theoretical
Orthoptics*
Retrospective Studies

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


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