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首页> 外文期刊>Digestive surgery >A simple novel model to predict hospital mortality, surgical site infection, and pneumonia in elderly patients undergoing operation.
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A simple novel model to predict hospital mortality, surgical site infection, and pneumonia in elderly patients undergoing operation.

机译:一个简单的新型模型可以预测老年手术患者的医院死亡率,手术部位感染和肺炎。

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BACKGROUND/AIMS: Predicting models of operative morbidity and mortality in the geriatric population are important in the prevention of adverse surgical outcomes. METHODS: A retrospective review of medical records was performed for patients over 80 years of age who underwent gastrointestinal surgery from 1998 to 2008. RESULTS: 215 patients were identified with a mean age of 83.7 years. Overall morbidity and mortality rates were 48.8 and 14.4%, respectively. Multivariate logistic regression analysis revealed that serum albumin levels [odds ratio (OR) = 0.367, p = 0.0267], postoperative pneumonia (OR = 3.471, p = 0.0101), hollow organ perforation or anastomosis combined with leakage (OR = 7.600, p = 0.0126), and preoperative systemic inflammatory response syndrome (OR = 3.186, p = 0.0323) were significant predictors of hospital mortality. Moreover, albumin (OR = 0.270, p = 0.0002) and physical disability (OR = 3.802, p = 0.0009) were significant predictors of postoperative pneumonia, and albumin (OR = 0.491, p = 0.0212) and enterotomy (OR = 3.335, p = 0.0208) were significant predictors of surgical site infections. CONCLUSION: This study provides novel predicting models to identify the elderly surgical patients at high risk, who should receive more intensive preventive and perioperative care.
机译:背景/目的:老年病患者手术发病率和死亡率的预测模型对于预防不良手术结局非常重要。方法:回顾性分析1998年至2008年接受胃肠道手术的80岁以上患者的病历。结果:215例患者的平均年龄为83.7岁。总体发病率和死亡率分别为48.8%和14.4%。多元logistic回归分析显示,血清白蛋白水平[比值比(OR)= 0.367,p = 0.0267],术后肺炎(OR = 3.471,p = 0.0101),中空器官穿孔或吻合并渗漏(OR = 7.600,p = 0.0126)和术前全身性炎症反应综合征(OR = 3.186,p = 0.0323)是医院死亡率的重要预测指标。此外,白蛋白(OR = 0.270,p = 0.0002)和身体残疾(OR = 3.802,p = 0.0009)是术后肺炎的重要预测指标,白蛋白(OR = 0.491,p = 0.0212)和肠切开术(OR = 3.335,p = 0.0208)是手术部位感染的重要预测指标。结论:本研究提供了新颖的预测模型,以识别高风险的老年外科手术患者,这些患者应接受更深入的预防和围手术期护理。

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