Defining and mitigating the challenges of an older and obese population in minimally invasive gynecologic cancer surgery

Gynecol Oncol. 2018 Mar;148(3):601-608. doi: 10.1016/j.ygyno.2017.12.020. Epub 2018 Jan 10.

Abstract

The incidence of endometrial cancer (EC) is steadily increasing due in large part to an aging world population and rise in rates of obesity. Patients with obesity and advancing age can be seen as vulnerable populations, as they are both often subject to physician bias regarding surgical choices and assumptions regarding long-term outcomes. As we operate on an older and/or obese patient population, it is increasingly important that we adopt peri-operative management strategies and surgical techniques to best serve this complex patient population. Careful orchestration pre-, intra- and postoperatively is key to successful outcomes in robotic and laparoscopic surgery. Here, we review existing literature regarding EC in women with older age and/or obesity, outline recommendations for peri-operative management and common intra-operative issues-specifically common anesthetic issues surrounding cardiovascular, respiratory and neuromuscular systems-that are of heightened importance in women with older age and/or obesity. The goal of this review is to help define and mitigate common complications for these vulnerable patients with an EC diagnosis who, in accordance with carefully assessed health risks, can and should be offered standard of care surgery and treatment.

Keywords: Aging population; Endometrial cancer; Minimally-invasive surgery; Obesity.

Publication types

  • Review

MeSH terms

  • Age Factors
  • Comorbidity
  • Female
  • Frailty / epidemiology
  • Genital Neoplasms, Female / epidemiology
  • Genital Neoplasms, Female / surgery*
  • Gynecologic Surgical Procedures / methods*
  • Healthcare Disparities
  • Humans
  • Laparoscopy
  • Minimally Invasive Surgical Procedures / methods*
  • Obesity / epidemiology*
  • Patient Positioning
  • Perioperative Care / methods*
  • Pneumoperitoneum, Artificial
  • Postoperative Complications / epidemiology*
  • Robotic Surgical Procedures
  • Severity of Illness Index