Clinical prediction rules for surgical site infection after minor surgery in general practice.

IF 1.6 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Clare Heal, Leanne Hall
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引用次数: 0

Abstract

Background and objectives: Surgical site infection (SSI) after dermatological surgery is associated with poor outcomes. Developing clinical prediction rules based on the predicted probability of infection might encourage guided prophylaxis and judicious prescribing. The purpose of this study was to develop a clinical prediction rule based on identified risk factors for SSI in a large general practice patient cohort.

Method: We examined a large, pooled dataset from four randomised controlled trials performed in a regional centre of North Queensland, Australia. Multivariable logistic regression identified a prediction model. Bootstrapping was used for internal validation. A scoring system was based on predicted probabilities of infection.

Results: The final prediction rule included age >55 years and the anatomical site, histology and complexity of the excision. The area under the curve was 0.704.

Discussion: Our prediction rule encourages judicious use of prophylaxis in clinical practice.

全科小手术后手术部位感染的临床预测规则。
背景和目的:皮肤科手术后的手术部位感染(SSI)与不良预后有关。根据预测的感染概率制定临床预测规则,可鼓励在指导下采取预防措施和合理用药。本研究的目的是根据在大型全科患者队列中发现的 SSI 风险因素制定临床预测规则:我们研究了在澳大利亚北昆士兰地区中心进行的四项随机对照试验的大型汇总数据集。多变量逻辑回归确定了一个预测模型。内部验证采用引导法。评分系统基于预测的感染概率:最终的预测规则包括年龄大于 55 岁、解剖部位、组织学和切除术的复杂程度。曲线下面积为 0.704:我们的预测规则有助于在临床实践中明智地使用预防措施。
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来源期刊
Australian Journal of General Practice
Australian Journal of General Practice Medicine-Family Practice
CiteScore
2.80
自引率
4.50%
发文量
284
期刊介绍: The Australian Journal of General Practice (AJGP) aims to provide relevant, evidence-based, clearly articulated information to Australian general practitioners (GPs) to assist them in providing the highest quality patient care, applicable to the varied geographic and social contexts in which GPs work and to all GP roles as clinician, researcher, educator, practice team member and opinion leader. All articles are subject to peer review before they are accepted for publication.
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