Back to Journals » International Journal of General Medicine » Volume 10

Factors predicting the outcomes of elderly hospitalized myasthenia gravis patients: a national database study

Authors Tiamkao S, Pranboon S, Thepsuthammarat K, Sawanyawisuth K

Received 30 November 2016

Accepted for publication 7 February 2017

Published 20 April 2017 Volume 2017:10 Pages 131—135

DOI https://doi.org/10.2147/IJGM.S129075

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Jaya Mallidi

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser


Somsak Tiamkao,1,2 Sineenard Pranboon,3 Kaewjai Thepsuthammarat,4 Kittisak Sawanyawisuth1,5,6

1Department of Medicine, Faculty of Medicine, 2The Neuroscience Research and Development Group, 3Nursing Division, Srinagarind Hospital, 4Clinical Epidemiology Unit, Faculty of Medicine, 5Research Center in Back, Neck, Other Joint Pain and Human Performance (BNOJPH), 6Ambulatory Medicine Research Group, Khon Kaen University, Khon Kaen, Thailand

Background: Myasthenia gravis (MG) in elderly populations is increasing. This study aimed to evaluate predictors for treatment outcomes in elderly hospitalized MG patients using the national database.
Methods: We collected data of elderly hospitalized MG patients from the National Health Security Office from October 2009 to September 2010. Predictors for treatment outcomes were examined.
Results: During the study period, 1,948 identified MG patients were admitted to hospitals throughout Thailand. Of those, 441 patients (22.64%) were aged ≥ 60 years. There were 66 patients (14.97%) who had poor outcomes. There were only three significant factors in the final model. Presence of pneumonia, use of mechanical ventilators, and septicemia had adjusted odds ratios (95% confidence interval) of 2.83 (1.03, 7.75), 5.33 (2.24, 12.72), and 4.47 (1.86, 10.75), respectively. 
Conclusion: Pneumonia, being on a mechanical ventilator, and septicemia were independent factors associated with poor treatment outcomes in elderly hospitalized MG patients according to national data.

Keywords: pneumonia, ventilator, mortality, predictor
 

Creative Commons License This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Download Article [PDF]  View Full Text [HTML][Machine readable]