Background: Surgical site infections (SSIs) increase mortality and the economic burden associated with emergency surgery (ES). A reliable and sensitive scoring system to predict SSIs can help guide clinician assessment and patient counseling of post-operative SSI risk. We hypothesized that after quantifying the ES post-operative SSI incidence, readily abstractable parameters can be used to develop an actionable risk stratification scheme.

中文翻译：

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急诊手术后手术部位感染发展的可行风险模型

背景：手术部位感染 (SSI) 会增加死亡率和与急诊手术 (ES) 相关的经济负担。一个可靠且灵敏的评分系统来预测 SSI 可以帮助指导临床医生评估和术后 SSI 风险的患者咨询。我们假设在量化 ES 术后 SSI 发生率后，可以使用易于抽象的参数来制定可行的风险分层方案。