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Predictive factors of prolonged mechanical ventilation, overall survival, and quality of life in patients with post-thymectomy myasthenic crisis

Overview of attention for article published in World Journal of Surgical Oncology, August 2017
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Title
Predictive factors of prolonged mechanical ventilation, overall survival, and quality of life in patients with post-thymectomy myasthenic crisis
Published in
World Journal of Surgical Oncology, August 2017
DOI 10.1186/s12957-017-1209-1
Pubmed ID
Authors

Kun-Kun Li, Kai Qian, Yong-Geng Feng, Wei Guo, Qun-You Tan, Bo Deng

Abstract

Thymectomy is the primary approach for the treatment of myasthenia gravis (MG). This retrospective study aimed to identify the clinical and demographical features that may impact the duration of mechanical ventilation (DMV), the long-term survival, and the quality of life (QOL) in patients with post-thymectomy myasthenic crisis (PTMC). We reviewed the patients who suffered from PTMC from June 2008 to November 2015. Cox proportional hazard regression analysis was used to identify potential prognostic factors that may impact DMV and long-term survival. Spearman bivariate correlation analysis was used to analyze the relationship between DMV and QOL. Statistical powers were calculated. In total, 70 patients with PTMC were enrolled. Alcohol abuse, high scores of Myasthenia Gravis Foundation of America (MGFA) classification and Clavien-Dindo classification were critical factors that remarkably delayed early extubation. High scores of Osserman's classification, MGFA classification, and Clavien-Dindo classification predicted a poor prognosis in PTMC patients. Occupational skills and job status were observed to be negatively affected in PTMC patients. To decrease the duration of mechanical ventilation, we suggest alcohol abstinence before the operation, appropriate preoperative treatment to decrease MGFA classification, and greater attention to the treatment of postoperative complications.

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 6 15%
Student > Bachelor 6 15%
Researcher 3 8%
Student > Master 3 8%
Professor > Associate Professor 2 5%
Other 6 15%
Unknown 14 35%
Readers by discipline Count As %
Medicine and Dentistry 15 38%
Nursing and Health Professions 5 13%
Biochemistry, Genetics and Molecular Biology 2 5%
Psychology 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 5%
Unknown 14 35%