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重症肌无力患者术后肌无力危象的预测因素

Predictive factors for postoperative myasthenic crisis in patients with myasthenia gravis.

作者信息

Wei Bohua, Lu Gaojun, Zhang Yi

机构信息

Department of Thoracic Surgery, Xuanwu Hospital Capital Medical University, Beijing, China.

出版信息

Interdiscip Cardiovasc Thorac Surg. 2023 Feb 6;36(2). doi: 10.1093/icvts/ivad040.

Abstract

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.

摘要

目的

胸腺切除术在重症肌无力的综合治疗中起着重要作用。本研究旨在探讨这些患者术后肌无力危象(POMC)的危险因素,并基于术前可用指标建立预测模型。

方法

回顾性分析2018年1月至2022年9月在我科连续接受扩大胸腺切除术的177例重症肌无力患者的临床记录。根据是否发生POMC将患者分为两组。进行单因素和多因素回归分析以确定POMC的独立危险因素。然后构建列线图以直观显示结果。最后,使用校准曲线和自举重采样来评估其性能。

结果

42例(23.7%)患者发生POMC。多因素分析显示,体重指数(P = 0.029)、Osserman分类(P = 0.015)、预计用力肺活量百分比(pred%)(P = 0.044)、预计第1秒用力呼气量百分比(pred%)(P = 0.043)和白蛋白球蛋白比值(P = 0.009)被确定为独立危险因素并纳入列线图。校准曲线显示预测的和实际的延长通气概率之间具有良好的一致性。

结论

我们的模型是预测重症肌无力患者POMC的有价值工具。对于那些高危患者,需要进行适当的术前治疗以改善症状,并且需要更加关注术后并发症。

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