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

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. We collected data of elderly hospitalized MG patients from the National Health Security Office from October 200...

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Published in:International journal of general medicine 2017-01, Vol.10, p.131-135
Main Authors: Tiamkao, Somsak, Pranboon, Sineenard, Thepsuthammarat, Kaewjai, Sawanyawisuth, Kittisak
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container_title International journal of general medicine
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creator Tiamkao, Somsak
Pranboon, Sineenard
Thepsuthammarat, Kaewjai
Sawanyawisuth, Kittisak
description 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. 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. 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. 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.
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subjects Care and treatment
Development and progression
Elderly
Elderly patients
Epidemiology
Health insurance
Management
Medical care quality
Medical records
Mortality
Myasthenia Gravis
Older people
Original Research
Outcomes
Risk factors
Studies
title Factors predicting the outcomes of elderly hospitalized myasthenia gravis patients: a national database study
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