Matsuo Masaki, Hashimoto Naozumi, Usami Noriyasu, Imaizumi Kazuyoshi, Wakai Kenji, Kawabe Tsutomu, Yokoi Kohei, Hasegawa Yoshinori
Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Interact Cardiovasc Thorac Surg. 2012 May;14(5):560-4. doi: 10.1093/icvts/ivr090. Epub 2012 Feb 3.
Although inspiratory capacity (IC) is strongly associated with the disease severity of chronic obstructive pulmonary disease, there was no appropriate equation to compute predicted values for IC. Furthermore, whether assessment of IC can identify the risk of prolonged postoperative stay (PPS) in patients undergoing thoracic surgery also remains unclear. To evaluate whether %IC predicted, for which the new equation to compute the predicted values for IC was utilized, could be applied to identify the risk of PPS, we retrospectively analysed the cases of 412 patients who underwent thoracic surgery in Nagoya University Hospital. The multivariate analysis demonstrated that %IC predicted < 85% was one of the most critical risk predictors for PPS (odds ratio, 1.65; 95% confidence intervals, 1.03-2.648) and, in particular, was independent of percentage predicted forced expiratory volume in 1 s (%FEV1) < 80%. A combined assessment of ICFEV1 Low, defined as %IC predicted <85% or %FEV1 <80%, was able to identify more than double the number of patients with PPS, compared with %FEV1 <80% alone (65.9 vs. 28.5%, respectively). This is the first study to demonstrate the significance of %IC predicted in screening for the risk for PPS in patients undergoing thoracic surgery.
尽管吸气容量(IC)与慢性阻塞性肺疾病的疾病严重程度密切相关,但尚无合适的公式来计算IC的预测值。此外,IC评估能否识别胸外科手术患者术后长期住院(PPS)的风险也尚不清楚。为了评估利用计算IC预测值的新公式得出的预测IC百分比(%IC预测值)是否可用于识别PPS风险,我们回顾性分析了名古屋大学医院412例接受胸外科手术患者的病例。多因素分析表明,预测IC百分比<85%是PPS最关键的风险预测因素之一(比值比,1.65;95%置信区间,1.03 - 2.648),尤其独立于1秒用力呼气容积预测百分比(%FEV1)<80%。与单独的%FEV1<80%相比,将预测IC百分比<85%或%FEV1<80%定义为ICFEV1低的联合评估能够识别出PPS患者数量增加一倍以上(分别为65.9%和28.5%)。这是第一项证明预测IC百分比在筛查胸外科手术患者PPS风险中的意义的研究。