Abou Chawareb Elia, Ayoub Christian Habib, Najdi Jad, Ghoubaira Joseph, El-Hajj Albert
Division of Urology, Department of Surgery, American University of Beirut Medical Center, Beirut, Lebanon.
Department of Radiology Oncology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Ther Adv Urol. 2023 Aug 10;15:17562872231191654. doi: 10.1177/17562872231191654. eCollection 2023 Jan-Dec.
Radical cystectomy (RC) is considered a complex procedure that entails significant morbidity and mortality.
We aimed to determine pre-operative patient characteristics that help predict a prolonged length of hospital stay (PLOS) following RC.
The American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was used to select patients who underwent RC between the years 2011 and 2020. Prolonged length of stay was defined as a hospital stay ⩾9 days. We compared patient demographics, pre-operative labs, surgical characteristics, and medical history between patients with or without PLOS. Multivariable logistic regression models controlling for pre-operative characteristics and propensity score matching for post-operative complications were conducted to control for possible confounders.
The analysis yielded details of 19,158 RC patients of which 6007 (31%) patients had a PLOS. Patients with PLOS were more likely to have post-operative complications that could serve as predictors for the PLOS rather than their pre-operative characteristics. Hence, we matched our cohort for these complications. After matching, patient pre-operative characteristics that predict PLOS included female gender (Odds Ratio (OR) = 5.91), 10-year increase in age (OR = 1.15), non-White race (OR = 1.98), partially or totally dependent functional health status (OR = 2.86), bleeding disorders (OR = 4.67), congestive heart failure (OR = 1.59), pre-operative transfusion (OR = 3.03), and a 20-min increase in operative time (OR = 1.01) ( < 0.046).
Patient demographics and pre-operative factors can help predict PLOS in RC patients. These predictors could serve as tools for patient counseling and risk stratification.
根治性膀胱切除术(RC)被认为是一种复杂的手术,具有较高的发病率和死亡率。
我们旨在确定有助于预测RC术后住院时间延长(PLOS)的术前患者特征。
使用美国外科医师学会-国家外科质量改进计划(ACS-NSQIP)数据库,选取2011年至2020年间接受RC手术的患者。住院时间延长定义为住院时间⩾9天。我们比较了有或无PLOS患者的人口统计学特征、术前实验室检查结果、手术特征和病史。进行多变量逻辑回归模型以控制术前特征,并进行倾向评分匹配以处理术后并发症,从而控制可能的混杂因素。
分析得出19158例RC患者的详细信息,其中6007例(31%)患者出现PLOS。出现PLOS的患者更有可能发生术后并发症,这些并发症可作为PLOS的预测指标,而非术前特征。因此,我们对这些并发症的队列进行了匹配。匹配后,预测PLOS的患者术前特征包括女性(优势比(OR)=5.91)、年龄增加10岁(OR =1.15)、非白人种族(OR =1.98)、部分或完全依赖的功能健康状况(OR =2.86)、出血性疾病(OR =4.67)、充血性心力衰竭(OR =1.59)、术前输血(OR =3.03)以及手术时间增加20分钟(OR =1.01)(<0.046)。
患者人口统计学特征和术前因素有助于预测RC患者的PLOS。这些预测指标可作为患者咨询和风险分层的工具。