Factors Associated with Early Discharge after Non-Emergent Right Colectomy for Colon Cancer: A NSQIP Analysis

被引:2
作者
Squires, Malcolm H. [1 ]
Donahue, Erin E. [2 ]
Wallander, Michelle L. [3 ]
Trufan, Sally J. [2 ]
Shea, Reilly E. [3 ]
Lindholm, Nicole F. [2 ]
Hill, Joshua S. [1 ]
Salo, Jonathan C. [1 ]
机构
[1] Levine Canc Inst, Div Surg Oncol, Atrium Hlth, Charlotte, NC 28204 USA
[2] Levine Canc Inst, Dept Biostat, Atrium Hlth, Charlotte, NC 28204 USA
[3] Levine Canc Inst, Clin Trials Off, Atrium Hlth, Charlotte, NC 28204 USA
关键词
early discharge; length of stay; colectomy; colon cancer; NSQIP; ENHANCED RECOVERY; READMISSION; SURGERY; CARE;
D O I
10.3390/curroncol30020189
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The National Surgical Quality Improvement Project (NSQIP) dataset was used to identify perioperative variables associated with the length of stay (LOS) and early discharge among cancer patients undergoing colectomy. Patients who underwent non-emergent right colectomy for colon cancer from 2012 to 2019 were identified from the NSQIP and colectomy-targeted databases. Postoperative LOS was analyzed based on postoperative day (POD) of discharge, with patients grouped into Early Discharge (POD 0-2), Standard Discharge (POD 3-5), or Late Discharge (POD >= 6) cohorts. Multivariable ordinal logistic regression was performed to identify risk factors associated with early discharge. The NSQIP query yielded 26,072 patients: 3684 (14%) in the Early Discharge, 13,414 (52%) in the Standard Discharge, and 8974 (34%) in the Late Discharge cohorts. The median LOS was 4.0 days (IQR: 3.0-7.0). Thirty-day readmission rates were 7% for Early Discharge, 8% for Standard Discharge, and 12% for Late Discharge. On multivariable regression analysis, risk factors significantly associated with a shorter LOS included independent functional status, minimally invasive approach, and absence of ostomy or additional bowel resection (all p < 0.001). Perioperative variables can be used to develop a model to identify patients eligible for early discharge after right colectomy for colon cancer. Efforts to decrease the overall median length of stay should focus on optimization of modifiable risk factors.
引用
收藏
页码:2482 / 2492
页数:11
相关论文
共 21 条
[21]   Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications [J].
Xue, Bing ;
Li, Dingwen ;
Lu, Chenyang ;
King, Christopher R. ;
Wildes, Troy ;
Avidan, Michael S. ;
Kannampallil, Thomas ;
Abraham, Joanna .
JAMA NETWORK OPEN, 2021, 4 (03)