Department of Urology, Shintoshi Hospital, Iwata, Japan; Department of Urology, The University of Tokyo, Tokyo, Japan.
Int J Urol. 2013 Dec;20(12):1193-8. doi: 10.1111/iju.12157. Epub 2013 Apr 21.
To evaluate risk factors of severe adverse events after percutaneous nephrolithotomy with an emphasis on operation time, and to develop a nomogram for predicting them.
This was an observational retrospective study including 1511 patients who underwent percutaneous nephrolithotomy in 332 hospitals identified from the Japanese Diagnosis Procedure Combination database between 2007 and 2010. Severe adverse events were defined as follows: (i) in-hospital mortality; (ii) postoperative medications including catecholamine, gamma-globulin products, protease inhibitors and medications for disseminated intravascular coagulation; and (iii) postoperative interventions including central vein catheterization, dialysis and mechanical cardiopulmonary support. Univariate and multivariate logistic regression analyses were carried out for the occurrence of severe adverse events, and a nomogram was generated from this model.
Overall, 126 severe adverse events (8.34%) were identified. In the multivariate model, a linear trend between severe adverse events and operation time was observed (OR 4.72 for 120-179 min to 17.95 for ≥300 min compared with ≤119 min; each P < 0.05) after adjustment for sex, age, Charlson Comorbidity Index and type of admission. Female sex and emergency admission were also significant risk factors (OR 1.92 and 2.04, respectively), and hospital volume did not reach statistical significance. The nomogram based on these results was well fitted to predict a probability between 0.05 and 0.40 (concordance index 0.696).
Longer operation time is a significant and independent risk factor for severe adverse events after percutaneous nephrolithotomy. Our nomogram can be an effective tool for predicting postoperative complications.
评估经皮肾镜取石术(PCNL)后严重不良事件的危险因素,重点关注手术时间,并制定预测这些事件的列线图。
这是一项观察性回顾性研究,纳入了 2007 年至 2010 年期间,从日本诊断程序组合数据库中确定的 332 家医院中接受 PCNL 的 1511 例患者。严重不良事件定义如下:(i)住院期间死亡;(ii)术后药物治疗,包括儿茶酚胺、γ-球蛋白产品、蛋白酶抑制剂和弥散性血管内凝血的药物治疗;(iii)术后干预措施,包括中心静脉置管、透析和机械心肺支持。对严重不良事件的发生进行单因素和多因素逻辑回归分析,并根据该模型生成列线图。
总体而言,有 126 例严重不良事件(8.34%)发生。在多因素模型中,严重不良事件与手术时间之间存在线性趋势(与≤119 分钟相比,120-179 分钟的比值比为 4.72,179-300 分钟的比值比为 17.95,≥300 分钟;每个 P 值均<0.05),在调整性别、年龄、Charlson 合并症指数和入院类型后。女性和急诊入院也是显著的危险因素(比值比分别为 1.92 和 2.04),而医院容量未达到统计学意义。基于这些结果的列线图可以很好地预测概率在 0.05 到 0.40 之间(一致性指数 0.696)。
较长的手术时间是 PCNL 后严重不良事件的一个显著且独立的危险因素。我们的列线图可以成为预测术后并发症的有效工具。