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Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis

OBJECTIVES: Thymectomy plays an important role in the comprehensive treatment of myasthenia gravis. The present study aimed to investigate the risk factors for postoperative myasthenic crisis (POMC) in these patients and then establish a predicting model based on preoperatively available indicators....

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Autores principales: Wei, Bohua, Lu, Gaojun, Zhang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978318/
https://www.ncbi.nlm.nih.gov/pubmed/36808486
http://dx.doi.org/10.1093/icvts/ivad040
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author Wei, Bohua
Lu, Gaojun
Zhang, Yi
author_facet Wei, Bohua
Lu, Gaojun
Zhang, Yi
author_sort Wei, Bohua
collection PubMed
description OBJECTIVES: Thymectomy plays an important role in the comprehensive treatment of myasthenia gravis. The present study aimed to investigate the risk factors for postoperative myasthenic crisis (POMC) in these patients and then establish a predicting model based on preoperatively available indicators. METHODS: The clinical records of 177 consecutive patients with myasthenia gravis who received extended thymectomy between January 2018 and September 2022 in our department were retrospectively reviewed. Patients were divided into 2 groups according to whether they developed POMC. Univariate and multivariate regression analyses were conducted to identify the independent risk factors of POMC. Then a nomogram was constructed to intuitively show the results. Finally, the calibration curve and bootstrap resampling were used to evaluate its performance. RESULTS: POMC occurred in 42 (23.7%) patients. By multivariate analysis, body mass index (P = 0.029), Osserman classification (P = 0.015), percentage of predicted forced vital capacity (pred%) (P = 0.044), percentage of predicted forced expiratory volume in the first second (pred%) (P = 0.043) and albumin to globulin ratio (P = 0.009) were identified as independent risk factors and entered into the nomogram. The calibration curve showed good concordance between the predicted and actual probability of prolonged ventilation. CONCLUSIONS: Our model is a valuable tool for predicting POMC in myasthenia gravis patients. For those high-risk patients, appropriate preoperative treatment is necessary to improve the symptoms and greater attention to postoperative complications is needed.
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spelling pubmed-99783182023-03-03 Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis Wei, Bohua Lu, Gaojun Zhang, Yi Interdiscip Cardiovasc Thorac Surg Thoracic Non-oncology OBJECTIVES: Thymectomy plays an important role in the comprehensive treatment of myasthenia gravis. The present study aimed to investigate the risk factors for postoperative myasthenic crisis (POMC) in these patients and then establish a predicting model based on preoperatively available indicators. METHODS: The clinical records of 177 consecutive patients with myasthenia gravis who received extended thymectomy between January 2018 and September 2022 in our department were retrospectively reviewed. Patients were divided into 2 groups according to whether they developed POMC. Univariate and multivariate regression analyses were conducted to identify the independent risk factors of POMC. Then a nomogram was constructed to intuitively show the results. Finally, the calibration curve and bootstrap resampling were used to evaluate its performance. RESULTS: POMC occurred in 42 (23.7%) patients. By multivariate analysis, body mass index (P = 0.029), Osserman classification (P = 0.015), percentage of predicted forced vital capacity (pred%) (P = 0.044), percentage of predicted forced expiratory volume in the first second (pred%) (P = 0.043) and albumin to globulin ratio (P = 0.009) were identified as independent risk factors and entered into the nomogram. The calibration curve showed good concordance between the predicted and actual probability of prolonged ventilation. CONCLUSIONS: Our model is a valuable tool for predicting POMC in myasthenia gravis patients. For those high-risk patients, appropriate preoperative treatment is necessary to improve the symptoms and greater attention to postoperative complications is needed. Oxford University Press 2023-02-21 /pmc/articles/PMC9978318/ /pubmed/36808486 http://dx.doi.org/10.1093/icvts/ivad040 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Thoracic Non-oncology
Wei, Bohua
Lu, Gaojun
Zhang, Yi
Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis
title Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis
title_full Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis
title_fullStr Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis
title_full_unstemmed Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis
title_short Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis
title_sort predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis
topic Thoracic Non-oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978318/
https://www.ncbi.nlm.nih.gov/pubmed/36808486
http://dx.doi.org/10.1093/icvts/ivad040
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