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继发性腹膜炎患者再次剖腹探查时与阳性发现相关的变量。

Variables associated with positive findings at relaparotomy in patients with secondary peritonitis.

作者信息

van Ruler Oddeke, Lamme Bas, Gouma Dirk J, Reitsma Johannes B, Boermeester Marja A

机构信息

Department of Surgery, Academic Medical Center/University of Amsterdam, the Netherlands.

出版信息

Crit Care Med. 2007 Feb;35(2):468-76. doi: 10.1097/01.CCM.0000253399.03545.2D.

Abstract

OBJECTIVE

The decision whether and when to perform a relaparotomy in secondary peritonitis is largely subjective and based on professional experience. No existing scoring system aids in this decisional process. Our aim was to search for variables that could predict positive findings at relaparotomy.

DESIGN

Retrospective, clinical study.

SETTING

Tertiary university hospital.

PATIENTS

Two hundred and nineteen patients of a consecutive series who underwent an emergency laparotomy for secondary peritonitis.

INTERVENTIONS

None. Sequential prediction models were constructed by accumulation of clinical information in chronological order using logistic regression to determine the strength of association between predictive variables and positive findings at relaparotomy outcome. Positive findings were defined as persistent peritonitis or a new infectious focus at relaparotomy.

MEASUREMENTS AND MAIN RESULTS

Relaparotomy (planned or on demand) for secondary peritonitis was performed in 117 of 219 patients (53%), yielding either positive (n=62) or negative (n=55) findings. Discriminatory power for positive findings at relaparotomy improved in the successive (multivariate) models: general patient characteristics (area under the curve, 0.60; 95% confidence interval, 0.52-0.68), adding peritonitis-related variables (area under the curve, 0.73; 95% confidence interval, 0.66-0.80), adding operation-related variables (area under the curve, 0.74; 95% confidence interval, 0.67-0.81), and adding postoperative variables (area under the curve, 0.87; 95% confidence interval, 0.82-0.92). Bootstrap resampling reduced the areas under the curve of the subsequent models only slightly. Sensitivity and specificity of the final model were 82% and 76%, respectively, at a total error rate of 16%. One preoperative predictor and five postoperative predictors significantly increased the need for relaparotomy: younger age, decreased hemoglobin levels, temperature>39 degrees C, lower Pao2/Fio2 ratio, increased heart rate, and increased sodium levels.

CONCLUSIONS

These data suggest that the causes of secondary peritonitis and findings at emergency laparotomy for peritonitis are poor indicators for whether patients will need a relaparotomy. Factors indicative of progressive or persistent organ failure during early postoperative follow-up are the best indicators for ongoing infection and associated positive findings at relaparotomy.

摘要

目的

对于继发性腹膜炎患者,决定是否以及何时进行再次剖腹手术在很大程度上是主观的,且基于专业经验。目前尚无现有的评分系统有助于这一决策过程。我们的目的是寻找能够预测再次剖腹手术阳性结果的变量。

设计

回顾性临床研究。

地点

三级大学医院。

患者

连续系列中的219例因继发性腹膜炎接受急诊剖腹手术的患者。

干预措施

无。通过按时间顺序累积临床信息,使用逻辑回归构建序贯预测模型,以确定预测变量与再次剖腹手术结果阳性之间的关联强度。阳性结果定义为再次剖腹手术时存在持续性腹膜炎或新的感染灶。

测量指标及主要结果

219例患者中有117例(53%)因继发性腹膜炎接受了再次剖腹手术(计划内或按需进行),结果为阳性(n = 62)或阴性(n = 55)。在连续的(多变量)模型中,再次剖腹手术阳性结果的辨别能力有所提高:一般患者特征(曲线下面积,0.60;95%置信区间,0.52 - 0.68),增加腹膜炎相关变量(曲线下面积,0.73;95%置信区间,0.66 - 0.80),增加手术相关变量(曲线下面积,0.74;95%置信区间,0.67 - 0.81),以及增加术后变量(曲线下面积,0.87;95%置信区间,0.82 - 0.92)。自举重采样仅使后续模型的曲线下面积略有减小。最终模型的敏感性和特异性分别为82%和76%,总错误率为16%。一个术前预测指标和五个术后预测指标显著增加了再次剖腹手术的必要性:年龄较小、血红蛋白水平降低、体温>39℃、较低的动脉血氧分压/吸入氧分数比、心率增加和血钠水平升高。

结论

这些数据表明,继发性腹膜炎的病因以及腹膜炎急诊剖腹手术的结果并非患者是否需要再次剖腹手术的良好指标。术后早期随访期间提示进行性或持续性器官功能衰竭的因素是持续感染及再次剖腹手术相关阳性结果的最佳指标。

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