*Department of Surgery, Walter Reed National Military Medical Center, Bethesda, MD †Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD ‡Department of Surgery, Emory Hospital, Atlanta, GA.
Ann Surg. 2013 Sep;258(3):430-9. doi: 10.1097/SLA.0b013e3182a18fcc.
In 2012, Medicare began cutting reimbursement for hospitals with high readmission rates. We sought to define the incidence and risk factors associated with readmission after surgery.
A total of 230,864 patients discharged after general, upper gastrointestinal (GI), small and large intestine, hepatopancreatobiliary (HPB), vascular, and thoracic surgery were identified using the 2011 American College of Surgeons National Surgical Quality Improvement Program. Readmission rates and patient characteristics were analyzed. A predictive model for readmission was developed among patients with length of stay (LOS) 10 days or fewer and then validated using separate samples.
Median patient age was 56 years; 43% were male, and median American Society of Anesthesiologists (ASA) class was 2 (general surgery: 2; upper GI: 3; small and large intestine: 2; HPB: 3; vascular: 3; thoracic: 3; P < 0.001). The median LOS was 1 day (general surgery: 0; upper GI: 2; small and large intestine: 5; HPB: 6; vascular: 2; thoracic: 4; P < 0.001). Overall 30-day readmission was 7.8% (general surgery: 5.0%; upper GI: 6.9%; small and large intestine: 12.6%; HPB: 15.8%; vascular: 11.9%; thoracic: 11.1%; P < 0.001). Factors strongly associated with readmission included ASA class, albumin less than 3.5, diabetes, inpatient complications, nonelective surgery, discharge to a facility, and the LOS (all P < 0.001). On multivariate analysis, ASA class and the LOS remained most strongly associated with readmission. A simple integer-based score using ASA class and the LOS predicted risk of readmission (area under the receiver operator curve 0.702).
Readmission among patients with the LOS 10 days or fewer occurs at an incidence of at least 5% to 16% across surgical subspecialties. A scoring system on the basis of ASA class and the LOS may help stratify readmission risk to target interventions.
2012 年,医疗保险开始降低高再入院率医院的报销额度。我们旨在确定手术后再入院的发生率和相关风险因素。
共确定了 230864 例在普通外科、上消化道(GI)、小肠和大肠、肝胆胰(HPB)、血管和胸外科接受治疗后出院的患者,使用的是 2011 年美国外科医师学会国家手术质量改进计划。分析了再入院率和患者特征。在住院时间(LOS)为 10 天或更短的患者中建立再入院预测模型,然后使用单独的样本进行验证。
中位患者年龄为 56 岁;43%为男性,中位美国麻醉医师协会(ASA)分级为 2 级(普通外科:2 级;上消化道:3 级;小肠和大肠:2 级;肝胆胰:3 级;血管:3 级;胸外科:3 级;P<0.001)。中位 LOS 为 1 天(普通外科:0 天;上消化道:2 天;小肠和大肠:5 天;肝胆胰:6 天;血管:2 天;胸外科:4 天;P<0.001)。总体 30 天再入院率为 7.8%(普通外科:5.0%;上消化道:6.9%;小肠和大肠:12.6%;肝胆胰:15.8%;血管:11.9%;胸外科:11.1%;P<0.001)。与再入院密切相关的因素包括 ASA 分级、白蛋白<3.5g/dL、糖尿病、住院并发症、非择期手术、出院至医疗机构以及 LOS(均 P<0.001)。多变量分析显示,ASA 分级和 LOS 与再入院最密切相关。一个基于 ASA 分级和 LOS 的简单整数评分系统可预测再入院风险(接收者操作特征曲线下面积 0.702)。
LOS 为 10 天或更短的患者中,至少有 5%至 16%的患者再入院。一个基于 ASA 分级和 LOS 的评分系统可能有助于分层再入院风险,以便有针对性地进行干预。