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2
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J Clin Neurosci. 2015 Jul;22(7):1164-9. doi: 10.1016/j.jocn.2015.01.022. Epub 2015 May 26.
3
Prevalence of myasthenia gravis in the Catalan county of Osona.加泰罗尼亚奥索纳县重症肌无力的患病率。
Neurologia. 2017 Jan-Feb;32(1):1-5. doi: 10.1016/j.nrl.2014.09.007. Epub 2014 Nov 11.
4
Prevalence of factors associated with poor outcomes of hospitalized myasthenia gravis patients in Thailand.泰国住院重症肌无力患者预后不良相关因素的患病率
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Clin Exp Immunol. 2014 Mar;175(3):408-18. doi: 10.1111/cei.12217.
6
Myasthenia gravis in the elderly.老年人重症肌无力。
J Neurol Sci. 2013 Feb 15;325(1-2):1-5. doi: 10.1016/j.jns.2012.10.028. Epub 2012 Dec 4.
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Epidemiology of myasthenia gravis in Austria: rising prevalence in an ageing society.奥地利重症肌无力的流行病学：老龄化社会中患病率的上升。
Wien Klin Wochenschr. 2012 Nov;124(21-22):763-8. doi: 10.1007/s00508-012-0258-2. Epub 2012 Nov 6.
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A national epidemiological study of Myasthenia Gravis in Australia.澳大利亚重症肌无力的全国性流行病学研究。
Eur J Neurol. 2012 Nov;19(11):1413-20. doi: 10.1111/j.1468-1331.2012.03698.x. Epub 2012 Apr 2.
9
Myasthenia gravis: a changing pattern of incidence.重症肌无力：发病率的变化模式。
J Neurol. 2010 Dec;257(12):2015-9. doi: 10.1007/s00415-010-5651-z. Epub 2010 Jul 11.
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A systematic review of population based epidemiological studies in Myasthenia Gravis.一项基于人群的重症肌无力流行病学研究的系统综述。
BMC Neurol. 2010 Jun 18;10:46. doi: 10.1186/1471-2377-10-46.

预测老年住院重症肌无力患者预后的因素：一项全国性数据库研究。

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

作者信息

Tiamkao Somsak, Pranboon Sineenard, Thepsuthammarat Kaewjai, Sawanyawisuth Kittisak

机构信息

Department of Medicine, Faculty of Medicine.

The Neuroscience Research and Development Group.

出版信息

Int J Gen Med. 2017 Apr 20;10:131-135. doi: 10.2147/IJGM.S129075. eCollection 2017.

DOI:10.2147/IJGM.S129075
PMID:28458573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5404491/
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.

摘要

背景

老年人群中的重症肌无力（MG）病例正在增加。本研究旨在利用国家数据库评估老年住院MG患者治疗结果的预测因素。

方法

我们收集了2009年10月至2010年9月期间泰国国家健康保险办公室的老年住院MG患者数据。对治疗结果的预测因素进行了检查。

结果

在研究期间，泰国各地共有1948例确诊的MG患者入院。其中，441例患者（22.64%）年龄≥60岁。有66例患者（14.97%）治疗结果不佳。最终模型中只有三个显著因素。肺炎、使用机械通气和败血症的调整后比值比（95%置信区间）分别为2.83（1.03，7.75）、5.33（2.24，12.72）和4.47（1.86，10.75）。

结论

根据国家数据，肺炎、使用机械通气和败血症是老年住院MG患者治疗结果不佳的独立相关因素。