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

Abstract

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.