Barisione G, Rovida S, Gazzaniga G M, Fontana L
Divisione di Medicina del Lavoro, Laboratorio di Fisiopatologia Respiratoria, Ospedale S. Martino, Genova, Italy.
Eur Respir J. 1997 Jun;10(6):1301-8. doi: 10.1183/09031936.97.10061301.
We evaluated the capacity to predict severe respiratory complications (SRCs) following upper abdominal surgery (UAS) by using the results of a respiratory questionnaire and preoperative pulmonary function tests. Lung volumes, flows and transfer factor of the lung for carbon monoxide (TL,CO,sb) were assessed in 361 consecutive adult patients (248 males and 113 females). SRCs were diagnosed 24 h after UAS by clinical examination and chest radiography. Univariate and stepwise multiple logistic regression analyses were performed to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of each single input variable, and to determine which indices best predicted outcome. These patients had a 1% mortality rate and 14% incidence of SRCs, with a male:female ratio of 0.86. The best predictors for SRCs by multiple analysis were: preoperative current hypersecretion of mucus (OR=133; p<0.0001); an increase in residual volume (RV) (OR=3.11; p=0.01); and, to a lesser extent, low percentage of predicted values both of forced expiratory volume in one second (FEV1 % pred) and TL,CO,sb. The algorithm thus obtained (logit theta) was extremely sensitive (84%), specific (99%), and accurate (95%) for preoperative prediction of SRCs. We have found that preoperative current hypersecretion of mucus and pulmonary hyperinflation, and to a lesser extent percentage predicted values both of forced expiratory volume in one second and transfer factor of the lung for carbon monoxide, have a significant predictive capacity for severe respiratory complications following upper abdominal surgery.
我们通过呼吸问卷结果和术前肺功能测试,评估了预测上腹部手术(UAS)后严重呼吸并发症(SRCs)的能力。对361例连续成年患者(248例男性和113例女性)进行了肺容积、气流和肺一氧化碳转运因子(TL,CO,sb)评估。术后24小时通过临床检查和胸部X线摄影诊断SRCs。进行单因素和逐步多因素逻辑回归分析,以估计每个单一输入变量的比值比(OR)和95%置信区间(95%CI),并确定哪些指标能最好地预测结果。这些患者的死亡率为1%,SRCs发生率为14%,男女比例为0.86。多因素分析中SRCs的最佳预测因素为:术前当前黏液分泌过多(OR=133;p<0.0001);残气量(RV)增加(OR=3.11;p=0.01);以及在较小程度上,一秒用力呼气量(FEV1 % pred)和TL,CO,sb的预测值百分比低。由此获得的算法(logit theta)对术前预测SRCs具有极高的敏感性(84%)、特异性(99%)和准确性(95%)。我们发现,术前当前黏液分泌过多和肺过度充气,以及在较小程度上一秒用力呼气量和肺一氧化碳转运因子的预测值百分比,对上腹部手术后严重呼吸并发症具有显著的预测能力。