Factors predicting the outcomes of elderly hospitalized myasthenia gravis patients: a national database study
Received 30 November 2016
Accepted for publication 7 February 2017
Published 20 April 2017 Volume 2017:10 Pages 131—135
Checked for plagiarism Yes
Review by Single anonymous peer review
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
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