上海交通大学学报（医学版）

›› 2010, Vol. 30 ›› Issue (5): 574-.

• 论著（临床研究） • 上一篇    下一篇

肺切除术后心律失常的临床分析

茅 腾, 方文涛, 张军华, 陈文虎   

  1. 上海交通大学 胸科医院胸外科, 上海 200030
  • 出版日期:2010-05-25 发布日期:2010-05-28
  • 作者简介:茅 腾（1975—）, 男, 主治医师, 硕士；电子信箱: hippomao@hotmail.com。

Clinical analysis of arrhythmia after pulmonary resections

MAO Teng, FANG Wen-tao, ZHANG Jun-hua, CHEN Wen-hu   

  1. Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
  • Online:2010-05-25 Published:2010-05-28

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摘要：

目的 探讨与肺切除术后发生心律失常相关的危险因素。方法 回顾性分析2001—2007年在上海市胸科医院接受肺切除术的399例患者的合并症与术后并发症，对术后发生心律失常相关的危险因素进行单因素和多因素回归分析。结果 术后有32例（8.02％）患者发生心律失常，单因素回归分析显示其危险因素包括：年龄（≥60岁）、合并除冠心病外的心脏疾病、手术方式(≥2个肺叶切除术)和病理诊断为非肿瘤病变（P<0.05或P<0.01）；多因素回归分析显示，独立危险因素是年龄（≥60岁）和手术方式（≥2个肺叶切除术）（P<0.01，P<0.05）。结论 对于存在上述危险因素的患者，术中应避免不必要的创伤，术后早发现、早治疗；同时应尽可能处理好相关的呼吸道问题，减轻组织缺氧状况。

关键词: 肺切除术, 心律失常, 并发症, 回归分析

Abstract:

Objective To investigate the risk factors for arrhythmia after pulmonary resections. Methods The incidences of postoperative complications of 399 patients undergoing pulmonary resections were retrospectively analysed, and univariate and multivariate regression analysis was conducted on risk factors for arrhythmia after operation. Results Thirty-two patients (8.02%) experienced arrhythmia after operation. Univariate analysis revealed that the risk factors included age (≥60 years old), complication with cardiopathy other than coronary heart disease, operative approaches (more than single lobectomy), and non-tumor conditions (P<0.05 or P<0.01). Multivariate analysis demonstrated that the independent risk factors included age (≥60 years old) and operative approaches (more than single lobectomy) (P<0.01, P<0.05). Conclusion For patients with risk factors undergoing pulmonary resections, it is important to avoid unnecessary injury during operation, and perform diagnosis and treatment as early as possible. The management of primary respiratory diseases also plays a role in reducing tissue hypoxia.

Key words: pulmonary resections, arrhythmia, complication, regression analysis