Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: Ann Surg Oncol. 2018 Nov 12;26(1):244–251. doi: 10.1245/s10434-018-6997-1

Is Robotic-Assisted Surgery Safe in the Elderly Population? An Analysis of Gynecologic Procedures in Patients ≥ 65 Years Old

Alessia Aloisi 1, Jill H Tseng 1, Samith Sandadi 1, Ryan Callery 1, Jacqueline Feinberg 2, Theresa Kuhn 3, Ginger J Gardner 1,4, Yukio Sonoda 1,4, Carol L Brown 1,4, Elizabeth L Jewell 1,4, Richard R Barakat 1,5,6, Mario M Leitao Jr 1,4
PMCID: PMC6639802  NIHMSID: NIHMS1038676  PMID: 30421046

Abstract

Background.

The elderly population is expanding world-wide but is underrepresented in clinical trials. We sought to assess the safety of robotic gynecologic surgery in an elderly cohort and to identify factors associated with unfavorable outcomes.

Methods.

All patients ≥ 65 years who underwent a robotically assisted procedure at a single institution between May 2007 to December 2016 were divided into three age groups: 65–74 (Group 1); 75–84 (Group 2); ≥ 85 (Group 3). Perioperative outcomes were recorded in patients who did not require conversion to laparotomy. We compared clinical variables among groups and performed multivariate logistic regression to detect variables associated with major complications (≥ Grade 3) or 90-day mortality.

Results.

We retrospectively identified 982 cases: 685 in Group 1; 249 in Group 2; 48 in Group 3. Median age = 71 years. Median BMI = 28.9. Malignancy was documented in 72.8% of cases; the majority were endometrial cancer (61.8%). Thirty-four patients (3.5%) were read-mitted within 30 days. Seventy-seven (7.8%) had a postoperative complication, and 23 (2.3%) had a major complication. Ninety-day mortality was 0.5%. There was significant difference between groups with respect to body mass index (P = 0.026), ECOG PS (P ≤ 0.001), > 5 comorbidities (P = 0.005), hospital stay (P < 0.001), major complications (P = 0.001), and 90-day mortality (P < 0.001). On multivariable logistic regression, age ≥ 85 years was associated with major complications. Body mass index, age ≥ 85 years, and major complications were significantly associated with 90-day mortality.

Conclusions.

Robotic-assisted surgery appears to be safe in an elderly cohort. The incidence of overall and major complications is consistent with those reported in the literature. Patients ≥ 85 years old appear to be at higher risk of unfavorable outcomes.


In the past few decades, we have observed an increase in life expectancy and, consequently, in the elderly population worldwide. According to World Health Organization data, the number of individuals older than 65 years increased by 140 million between 1975 and 1995, and it is projected that the elderly will constitute 10% of the world population by 2025.1 This poses a unique challenge to physicians, both medically and surgically. The challenges are especially significant in cancer care, because elderly patients present with more medical comorbidities and pose a greater risk for postoperative complications.2,3 Data have shown that older age is an independent risk factor for worse perioperative outcomes. For this reason, surgical treatment in the elderly often is less aggressive than in younger patients and may even be deferred.413

Therefore, it is of interest to investigate minimally invasive surgical (MIS) approaches in this population. MIS approaches may result in fewer complications without compromising surgical aggressiveness when needed. As an alternative to laparotomy, laparoscopy represents a valid and well-studied MIS approach. It is associated with lower rates of complication, less blood loss, reduced postoperative pain, shorter hospital stay, and quicker return to normal activities.1418 These benefits hold true for both young and elderly patients.19 A robotic surgical platform was approved in 2005 by the Food and Drug Administration (FDA); since then it has been used with increasing frequency, especially in oncologic surgery. The robotic platform also offers potential benefits for the surgeon compared with traditional laparoscopy—including a three-dimensional view, greater magnification, and absence of hand tremor—without any loss of the advantages offered by laparoscopy.2023

The advantages of the robotic-assisted MIS approach may be particularly critical in elderly patients, who present with higher burdens of physical restriction and comorbidities, and are considered at increased surgical risk.2, 3 Unfortunately, there is very limited data regarding MIS in the elderly population, especially in those older than age 80 years.2426 Many surgeons and anesthesiologists are reluctant to perform laparoscopic or robotic surgery for patients in this age group, due to concerns about the effects of Trendelenburg position and hypercapnia in a population with increased risk of cardiopulmonary complications.27 We sought to examine the perioperative outcomes in a cohort of elderly patients undergoing elective robotic-assisted gynecologic surgery at our institution.

MATERIALS AND METHODS

This study was approved by the Institutional Review Board at Memorial Sloan Kettering Cancer Center (MSKCC). All consecutive patients ≥ 65 years old who were scheduled to undergo a planned robotic-assisted gynecologic procedure at MSKCC from May 1, 2007 to December 31, 2016 were identified. Perioperative characteristics were retrospectively recorded (indication for surgery, type of procedure, uterine size, estimated blood loss, operative time, conversion rates, intraoperative and postoperative complications, length of hospital stay, and readmission rates within 30 days following surgery). All surgeries were performed by fellowship-trained gynecologic oncologists. Conversion rates were recorded; however, cases requiring laparotomy due to intraoperative conversion were not included in the final analysis. An institutional surgical secondary event grading system was used to assess complications occurring within 30 days of surgery. The rate of complications was assessed only in patients not requiring conversion to laparotomy. Any death that occurred within 90 days from surgery also was noted.

In general, ‘‘elderly’’ has been defined as a chronological age of 65 years or older. The elderly can be further divided into the following groups: those aged 65–74 years (‘‘early elderly’’), individuals 75 years and older (‘‘late elderly’’), and those aged 85 years and older (‘‘very elderly’’).28 We decided to use age groupings based on these commonly accepted definitions. Thus, the patients in our study were divided into three corresponding age groups for analysis: Group 1 (65–74 years); Group 2 (75–84 years); and Group 3 (≥ 85 years).

Minor procedures were defined as any diagnostic procedure involving biopsies or adnexal surgery only. Major procedures were defined as any surgical procedure that included at least a hysterectomy and uni-/bilateral salpingo-oophorectomy. We considered a procedure to be safe if the overall incidence of complication was comparable to ± 10% in the general population. Associations were tested using the Chi square test for categorical or ordinal variables and the Kruskal–Wallis test for continuous variables. Multivariate logistic regression analysis was performed to identify potential independently associated predictors of grade 3 or higher complications or of 90-day mortality. Statistical significance was set at P > 0.05. All of the statistical analysis was done using SPSS software.

RESULTS

We identified 1060 women, aged ≥ 65 years, who were scheduled to undergo a planned robotic-assisted procedure. Seventy-eight (7.4%) cases required conversion to laparotomy: 58 (5.5%) cases were converted before and 20 (1.9%) were converted after docking the robotic platform. Reasons for conversion are reported in Table 1; the most common were presence of adhesions (56.4%) and extent of disease (23.1%). These cases were not included in further analyses.

TABLE 1.

Cases converted to laparotomy (N = 78)

Reason for conversion N %
Adhesions 44 56.4
Extent of disease 18 23.1
Uterine size  7 8.9
Specimen removal  3 3.8
Limited visualization  2 2.6
Complex procedure  2 2.6
Intraoperative complication  2 2.6

A total of 982 (92.6%) cases were completed robotically. Patients’ characteristics are shown in Table 2. The overall median age was 71 (range 65–96) years, and the median BMI was 29.8 (range 14.2–65.1) kg/m2. Most patients were white (n = 831; 84.6%). An ECOG performance score of 0 or 1 was documented in 932 (95%) patients. One hundred eighty-two (18.5%) patients had more than 5 comorbidities, and 507 (51.6%) had undergone previous abdominal surgery. A diagnosis of malignancy was documented in 72.8% of the cases (n = 715); the majority were endometrial cancer (n = 607, 61.8%). Major procedures were performed in 851 (86.7%) patients.

TABLE 2.

Characteristics of robotically completed cases and comparison of age groups

Variable Total (N = 982) Group 1 (age 65–74) N = 685 (%) Group 2 (age 75–84) N = 249 (%) Group 3 (age ≥ 85) N = 48 (%) P value
Age (y)
 Median (range) 71 (65–96) 69 (65–74) 78 (75–84) 86.5 (85–96) < 0.001
Race
 American Indian/Alaskan Native 1 0 1 (0.4%) 0 0.128
 White 831 576 (84.1%) 211 (84.7%) 44 (91.7%)
 Asian 28 22 (3.2%) 3 (1.2%) 3 (6.3%)
 Black 55 239 (5.7%) 16 (6.4%) 0
 Unknown 67 48 (7%) 18 (7.2%) 1 (2.1%)
BMI (kg/m2)
 Median (range) 28.9 (14.2–65.1) 29.2 (14.2–65.1) 28.9 (16–56.6) 26.65 (18.4–50) 0.026
ECOG
 0 726 (74%) 538 (78.5%) 163 (65.7%) 25 (52.1%) < 0.001
 1 206 (21%) 126 (18.4%) 63 (25.4%) 17 (35.4%)
 2 41 (4.2%) 20 (2.9%) 18 (7.3%) 3 (6.3%)
 3 7 (0.7%) 1 (0.1%) 3 (1.2%) 3 (6.3%)
 4 1 (0.1%) 0 1 (1.7%) 0
 5 0 0 1 (1.7%) 0
5 or more comorbidities 182 (18.5%) 109 (15.9%) 62 (24.9%) 11 (22.9%) 0.005
Previous abdominal surgery 507 (51.6%) 365 (53.3%) 117 (47%) 25 (51.2%) 0.234
Indication for surgery
 Benign 64 (6.5%) 46 (6.7%) 15 (6%) 3 (6.3%) 0.261
 Uterine hyperplasia 41 (4.2%) 30 (4.4%) 8 (3.2%) 3 (6.3%)
 Uterine cancer 607 (61.8%) 412 (60.1%) 167 (67.1%) 28 (58.3%)
 Breast cancer/risk-reducing 9 (0.9%) 7 (1%) 1 (0.4%) 1 (2.1%)
 Benign adnexal mass 147 (15%) 110 (16.1%) 34 (13.7%) 3 (6.3%)
 Ovarian/fallopian tube cancer 74 (7.5%) 48 (7%) 16 (6.4%) 10 (20.8%)
 Cervical dysplasia 6 (0.6%) 5 (0.7%) 1 (0.4%) 0
 Cervical cancer 22 (2.2%) 17 (2.5%) 5 (2%) 0
 2 Gynecologic primaries 4 (0.4%) 3 (0.4%) 1 (0.4%) 0
 Lymphoma 4 (0.4%) 4 (0.6%) 0 0
 Other 4 (0.4%) 3 (0.4%) 1 (0.4%) 0
Procedure
 Minor 131 (13.3%) 96 (14%) 30 (12%) 5 (10.4%) 0.611
 Major 851 (86.7%) 589 (86%) 219 (88%) 43 (89.6%)
Estimated blood loss (cc)
 Median (range) 50 (0–800) 50 (0–800) 50 (0–450) 50 (10–200) 0.299
*Uterine size (gr)
 Median (range) 91 (27–740) 91.3 (6–740) 89.5 (28.5–410) 87.8 (29–229) 0.770
Operating room time (mins)
 Median (range) 159 (40–450) 155 (68–450) 149 (40–367) 141 (61–300) 0.418
Length of stay (days)
 Median (range) 0 (0–19) 0 (0–19) 0 (0–13) 1 (0–11) < 0.001
Intraoperative complication 4 (0.4%) 3 (0.4%) 1 (0.4%) 0 0.899
Perioperative complication 77 (7.8%) 51 (7.4%) 20 (8.0%) 6 (12.5%) 0.449
Major (G3–5) complication 23 (2.3%) 12 (1.8%) 6 (2.4%) 5 (10.4%) 0.001
Readmission within 30 days 34 (3.5%) 22 (3.2%) 8 (3.2%) 4 (8.3%) 0.167
Death within 90 days 5 (0.5%) 1 (0.1%) 2 (0.8%) 2 (4.2%) < 0.001
*

Only 785 patients were evaluated for uterine size

Overall intra- and postoperative characteristics are depicted in Table 2. Four (0.4%) patients had intraoperative complications: three patients had a grade 3 urologic complication (2 involving the bladder, 1 involving the ureter), and one patient suffered injury to the inferior vena cava. Seventy-seven (7.8%) patients had at least one postoperative complication, 23 (2.3%) of which were major complications (≥ grade 3). The most common postoperative complications (grades 1–5) were wound- or skin-related (25.3%), followed by genitourinary complications (24%; Table 3). The incidence of major complications was 2.3%. The most common major complications were gastrointestinal (6 cases), all of which required surgical reintervention: one because of a postoperative bowel perforation, one for an incarcerated Richter’s hernia, and four for small bowel obstruction.

TABLE 3.

Complications (N = 83). Some patients had more than 1 complication

Grade 1 Grade 2 Grade 3 Grade 4 Grade 5 Total N (%)
Intra-operative (N = 4)
 Genitourinary  0 0 3 0 0  3 (75%)
 Hematologic/vascular  0 0 1 0 0  1 (25%)
Postoperative (N = 79)
 Cardiovascular  1 2 1 0 1  5 (6.3%)
 Gastrointestinal  3 5 6 0 0 14 (17.7%)
 Genitourinary 18 1 0 0 0 19 (24%)
 Hematologic/vascular  2 5 3 0 0 10 (12.7%)
 Neurologic  1 1 1 0 1  4 (5.1%)
 Intra-abdominal collection  0 2 4 0 0  6 (7.6%)
 Pulmonary  1 0 0 0 0  1 (1.3%)
 Wound/skin 18 0 2 0 0 20 (25.3%)

Thirty-four (3.5%) patients were readmitted within 30 days from surgery. The most common reasons for readmission were gastrointestinal issues. Of the 11 patients (30.6%) who were readmitted for a gastrointestinal complication, 8 had a bowel obstruction, 1 had a Clostridium Difficile infection, 1 experienced nausea refractory to oral medications, and 1 developed a fistula. Six patients were readmitted for wound or skin complications (16.7%) and five (13.9%) for bleeding or hematomas. Four women (11.1%) were readmitted for genitourinary issues and four (11.1%) for an intraabdominal collection requiring drainage. Two (5.6%) patients were readmitted due to a thromboembolic event, one (2.8%) patient was readmitted for pneumonia, two for neurologic issues (5.6%), and one for a vaginal cuff dehiscence (2.8%). Five (0.5%) patients died within 90 days from surgery; one of these patients died before discharge from the hospital due to a massive stroke. The other causes of death were: occlusion of the right coronary artery in one patient; a cancer-related death in one patient; and unknown cause of death in two patients.

There were 685 patients in Group 1, 249 in Group 2, and 48 in Group 3. Characteristics of the three groups are depicted in Table 2. There were no significant differences between the three groups with respect to race, previous abdominal surgery, indication for surgery, type of surgical procedure performed, estimated blood loss, uterine size, operative times, overall intraoperative or postoperative complications, and readmission rates within 30 days. Median body mass index (BMI) was 29.2 (range 14.2–65.1) kg/m2 in Group 1, 28.9 (range 16–56.6) kg/m2 in Group 2, and 26.7 (range 18.4–50) kg/m2 in Group 3 (P = 0.026). A major perioperative complication occurred in 12 (1.8%) of the patients in Group 1, 6 (2.4%) in Group 2, and 5 (10.4%) in Group 3 (P = 0.001). Table 4 summarizes the univariable and multivariable analyses of factors associated with major perioperative complications. ECOG status was not included in the multivariable analysis, because it was multicollinear with age. Age ≥ 85 years was the only factor associated with development of a major perioperative complication on univariate analysis and retained an independent association after adjusting for presence of five or more comorbidities, prior abdominal surgery, and whether or not a major procedure was performed (adjusted hazard ratio [HR] 5.92 (95% confidence interval [CI] 1.95–17.96, P = 0.002).

TABLE 4.

Multivariable analysis of factors associated with major (G3–5) perioperative complications

Variable Univariate
Multivariable
HR (95% CI) P value Adjusted HR (95% CI) P value
Age group (years)
 65–74 Reference Reference
 75–84 1.38 (0.51–3.73) 0.520 1.29 (0.47–3.53) 0.612
 85+ 6.52 (2.19–19.35) 0.001 5.92 (1.95–17.96) 0.002
BMI (kg/m2) 0.98 (0.92–1.04) 0.570 0.98 (0.92–1.04) 0.508
ECOG group
 0 Reference
 1–2 1.38 (0.56–3.43) 0.485
 3–4 6.77 (0.78–58.53) 0.082
5 or more comorbidities
 No Reference Reference
 Yes 1.57 (0.61–4.04) 0.349 1.66 (0.61–4.54) 0.321
Prior abdominal surgery
 No Reference Reference
 Yes 1.22 (0.53–2.82) 0.635 1.31 (0.55\6–3.05) 0.537
Procedure
 Major Reference Reference
 Minor 3.45 (0.46–25.81) 0.228 3.73 (0.49–28.54) 0.204

All variables were tested for multicollinearity. Clinically significant variables and variables with P < 0.2 on univariate analysis were included in the multivariable analysis

Mortality within 90 days of surgery occurred in 1 (0.1%) patient in Group 1, 2 (0.8%) in Group 2, and 2 (4.2%) in Group 3 (P < 0.001). Univariable and multi-variable analyses of factors associated with 90-day mortality are presented in Table 5. Age ≥ 85 (adjusted HR 29.67, 95% CI 1.42–617.6, P = 0.029), BMI (adjusted HR 1.17, 95% CI 1.03–1.32, P = 0.017), and occurrence of a major perioperative complication (adjusted HR 27.88, 95% CI 1.88–414.11, P = 0.016) were significantly associated with 90-day mortality on multivariable analysis.

TABLE 5.

Multivariable analysis of factors associated with 90-day mortality

Variable Univariate
Multivariable
HR (95% CI) P value Adjusted HR (95% CI) P value
Age group (years)
 65–74 Reference Reference
 75–84 2.76 (0.17–44.26) 0.474 2.18 (0.09–49.19) 0.623
 85+ 29.74 (2.65–334.1) 0.006 29.67 (1.42–617.6) 0.029
BMI (kg/m2) 1.11 (1.01–1.22) 0.036 1.166 (1.03–1.32) 0.017
ECOG group
 0 Reference
 1–2 5.92 (0.53–65.55) 0.147
 3–4 103.57 (5.87–1826.7) 0.002
5 or more preoperative comorbidities
 No Reference Reference
 Yes 4.43 (0.62–31.68) 0.138 1.47 (0.15–14.22) 0.738
Procedure
 Minor Reference Reference
 Major 0.46 (0.05–4.45) 0.503 0.17 (0.01–3.23) 0.239
Length of surgery (min) 1 (0.99–1.01) 0.608 1 (0.98–1.02) 0.924
Major complication
 No Reference Reference
 Yes 45.57 (6.12–339.1) <0.001 27.88 (1.88–414.11) 0.016

All variables were tested for multicollinearity. Clinically significant variables and variables with P < 0.2 on univariate analysis were included in the multivariable analysis

DISCUSSION

The elderly population is growing worldwide. As people live longer, we will continue to see an increase in surgical and medical care given to older individuals. Thus, there is growing interest in this subgroup of patients, who constitute a significant economic burden with respect to healthcare but often are inadequately treated due to concerns about their physical limitations and comorbidities.

MIS has become the standard of care for many patients with gynecologic cancers. However, although the elderly population represents the fastest-growing cohort of patients worldwide, they are significantly underrepresented in clinical studies involving robotic surgery. This is especially true for patients older than 80 years.2426 In this study, we assessed the feasibility and safety of robotic-assisted surgery in the elderly population. To our knowledge, this is one of the largest case series ever reported that focuses on elderly women undergoing robotic-assisted surgery for benign and malignant gynecologic indications.

The risk of adverse events in similar age groups has been reported to be as great as 33%.23,2938 The incidence of overall complications in our cohort was much lower (8.2%)—similar to that reported for the general population (approximately 9%) in a recent review and meta-analysis of the literature.39, 40 This indicates that robotic surgery in the elderly appears to be feasible, with acceptable morbidity. In our study, we found no increased risk of overall complications within the three age groups examined. We did note an increased incidence (10% vs. < 3%) of major complications (Grades 3–5) in patients aged 85 years or older. However, although we observed an unfavorable trend related to age, it is important to emphasize that the overall incidence of adverse events was comparable to that reported in the literature for similar age groups, as well as for the general population.23, 2940

Our multivariate analysis revealed that age C 85 years is independently associated with 90-day mortality. How-ever, the overall mortality rate remained low (0.5%) and was approximately 4% in patients aged 85 years or older. During the 9-year study period, 5 of 982 patients died within 90 days of surgery. Of these, 2 were among the 48 women aged 85 years or older. There were no intraoperative deaths. One patient died during her hospital stay, and one patient died within the first 30 days after surgery. It is important to contextualize these results, because patients aged 85 years or older are at risk for death even if they are not undergoing surgery. In addition to age, the development of a major perioperative complication, and higher body mass index, also were associated with increased risk of mortality. Appropriate preoperative medical assessment and careful selection are required for all patients, especially those aged 85 years or older.

Several other findings from our analysis also are of interest. Operative times and blood loss were similar to those reported in other published data.23, 2938 Hospital stay was similar to, if not shorter than, that reported in the literature. We recorded a median hospital stay of 0 days compared with the median range of 1–3 days reported in the literature.23, 2938 Our analysis demonstrates that same-day and next-day discharge is quite possible for elderly patients undergoing robotic-assisted gynecologic surgery, even those aged 85 years or older. Additionally, these patients are not at higher risk of conversion to laparotomy compared with the general population, with approximately 7% of planned robotic cases requiring conversion.39, 40 Some physicians are reluctant to perform MIS in the elderly because of concerns related to the effects of Trendelenburg and hypercapnia in a population with an increased risk of cardiopulmonary complications or ischemic optic neuropathy.41 However, it is important to emphasize that no cases in the current study had to be converted or aborted due to a patient’s inability to tolerate the Trendelenburg position, pneumoperitoneum, or cardiorespiratory complication; conversions were due only to anatomical and technical issues, such as adhesions or extent of disease. No visual loss was encountered in our analysis, and only 5 cardiovascular complications were registered for 982 patients—none of which occurred intraoperatively.

The strengths of this study include its large sample size, and the fact that all procedures were conducted by fellowship-trained gynecologic oncologists. Additionally, we captured all consecutive cases within the study period. Limitations include the retrospective nature of the study, which had the potential to result in an underreporting of complications. However, our institution has a robust complication assessment system, which has been adopted by others. A dedicated research assistant reviewed all surgical cases to identify any possible perioperative complications. The inclusion of robotic-assisted cases since the initial implementation of the robotic platform may have affected the outcomes, due to the learning curves of surgeons.

In summary, we found that robotic-assisted gynecologic surgery is feasible and safe in an elderly patient population. It should be considered when appropriate and offered to properly selected elderly patients—even the most elderly. Others also have concluded the same and have stressed the importance of a multidisciplinary approach.38 Conversion rates and incidences of overall and severe complications were low, consistent with the complication rates reported in other series of MIS in patients of all ages. Age ≥ 85 years may be associated with a slightly longer hospital stay, increased 90-day mortality, and occurrence of major complications. In patients aged 85 or older, there are increased risks, as would be expected, but these appear acceptable. However, in elderly patients younger than 85 years, perioperative outcomes appear to be the same as in patients who are much younger. Our data provide important information to surgeons who must discuss the risks and benefits of surgery with their elderly patients. Robotic-assisted gynecologic surgery should not be with-held from elderly patients for whom the benefits of surgical intervention outweigh the risks.

Acknowledgments

FUNDING This study was funded in part through the NIH/NCI Support Grant P30 CA008748.

Footnotes

DISCLOSURES The authors declare no conflicts of interest. Dr. Leitao does ad hoc consulting with Intuitive Surgical, Inc.

REFERENCES

  • 1.World Health Organization. The world health report 1998—Life in the 21st century: a vision for all http://www.who.int/whr/1998/en/ Accessed 28 June 2018.
  • 2.Partridge JSL, Harari D, Dhesi JK. Frailty in the older surgical patient: a review. Age Ageing 2012;41:142–7. [DOI] [PubMed] [Google Scholar]
  • 3.Turrentine FE,Wang H, Simpson VB, Jones RS. Surgical risk factors, morbidity, and mortality in elderly patients. J Am Coll Surg 2006;203:865–77. [DOI] [PubMed] [Google Scholar]
  • 4.Bentrem DJ, Cohen ME, Hynes DM, Ko CY, Bilimoria KY. Identification of specific quality improvement opportunities for the elderly undergoing gastrointestinal surgery. Arch Surg 2009;144:1013–20. [DOI] [PubMed] [Google Scholar]
  • 5.Hannan EL, Racz MJ, Walford G, Ryan TJ, Isom OW, Bennett E, Jones RH. Predictors of readmission for complications of coronary artery bypass graft surgery. JAMA 2003;290:773–80. [DOI] [PubMed] [Google Scholar]
  • 6.Khuri SF, Henderson WG, DePalma RG, Mosca C, Healey NA, Kumbhani DJ; Participants in the VA National Surgical Quality Improvement Program. Determinants of long-term survival after major surgery and the adverse effect of postoperative complications. Ann Surg 2005;242:326–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rabeneck L, Davila JA, Thompson M, El-Serag HB. Outcomes in elderly patients following surgery for colorectal cancer in the veterans affairs health care system. Aliment Pharmacol Ther 2004;20:1115–24. [DOI] [PubMed] [Google Scholar]
  • 8.Teh SH, Diggs BS, Deveney CW, Sheppard BC. Patient and hospital characteristics on the variance of perioperative outcomes for pancreatic resection in the United States: a plea for outcome-based and not volume-based referral guidelines. Arch Surg 2009;144:713–21. [DOI] [PubMed] [Google Scholar]
  • 9.Polanczyk CA, Marcantonio E, Goldman L, Rohde LE, Orav J, Mangione CM, Lee TH. Impact of age on perioperative complications and length of stay in patients undergoing noncardiac surgery. Ann Intern Med 2001;134:637–43. [DOI] [PubMed] [Google Scholar]
  • 10.Wright JD, Lewin SN, Barrena Medel NI, Sun X, Burke WM, Deutsch I, Herzog TJ. Morbidity and mortality of surgery for endometrial cancer in the oldest old. Am J Obstet Gynecol 2011;205:66.e1–8. [DOI] [PubMed] [Google Scholar]
  • 11.Cykert S, Dilworth-Anderson P, Monroe MH, et al. Factors associated with decisions to undergo surgery among patients with newly diagnosed early-stage lung cancer. JAMA 2010;303:2368–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Goodwin JS, Samet JM, Hunt WC. Determinants of survival in older cancer patients. J Natl Cancer Inst 1996;88:1031–8. [DOI] [PubMed] [Google Scholar]
  • 13.Schonberg MA, Marcantonio ER, Li D, Silliman RA, Ngo L, McCarthy EP. Breast cancer among the oldest old: tumor characteristics, treatment choices, and survival. J Clin Oncol 2010;28:2038–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Bijen CB, Briet JM, de Bock GH, Arts HJ, Bergsma-Kadijk JA, Mourits MJ. Total laparoscopic hysterectomy versus abdominal hysterectomy in the treatment of patients with early-stage endometrial cancer: a randomized multi center study. BMC Cancer 2009;9:23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Walker JL, Piedmonte MR, Spirtos NM, et al. Recurrence and survival after random assignment to laparoscopy versus laparotomy for comprehensive surgical staging of uterine cancer: Gynecologic Oncology Group LAP2 Study. J Clin Oncol 2012;30:695–700. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Lin F, Zhang QJ, Zheng FY, Zhao HQ, Zeng QQ, Zheng MH, Zhu HY. Laparoscopically assisted versus open surgery for endometrial cancer–a meta-analysis of randomized controlled trials. Int J Gynecol Cancer 2008;18:1315–25. [DOI] [PubMed] [Google Scholar]
  • 17.Palomba S, Falbo A, Mocciaro R, Russo T, Zullo F. Laparoscopic treatment for endometrial cancer: a meta-analysis of randomized controlled trials (RCTs). Gynecol Oncol 2009;112:415–21. [DOI] [PubMed] [Google Scholar]
  • 18.Kornblith AB, Huang HQ, Walker JL, Spirtos NM, Rotmensch J, Cella D. Quality of life of patients with endometrial cancer undergoing laparoscopic international federation of gynecology and obstetrics staging compared with laparotomy: a Gynecologic Oncology Group study. J Clin Oncol 2009;27:5337–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bogani G, Cromi A, Uccella S, Serati M, Casarin J, Mariani A, Ghezzi F. Laparoscopic staging in women older than 75 years with early-stage endometrial cancer: comparison with open surgical operation. Menopause 2014;21:945–51. [DOI] [PubMed] [Google Scholar]
  • 20.Sarlos D, Kots LA. Robotic versus laparoscopic hysterectomy: a review of recent comparative studies. Curr Opin Obstet Gynecol 2011;23:283–8. [DOI] [PubMed] [Google Scholar]
  • 21.Sarlos D, Kots L, Stevanovic N, von Felten S, Schar G. Robotic compared with conventional laparoscopic hysterectomy: a randomized controlled trial. Obstet Gynecol 2012;120:604–611. [DOI] [PubMed] [Google Scholar]
  • 22.Paraiso MF, Ridgeway B, Park AJ, Jelovsek JE, Barber MD, Falcone T, Einarsson JI. A randomized trial comparing conventional and robotically assisted total laparoscopic hysterectomy. Am J Obstet Gynecol 2013;208:368.e1–7. [DOI] [PubMed] [Google Scholar]
  • 23.Guy MS, Sheeder J, Behbakht K, Wright JD, Guntupalli SR. Comparative outcomes in older and younger women undergoing laparotomy or robotic surgical staging for endometrial cancer. Am J Obstet Gynecol 2016;214:350.e1–10. [DOI] [PubMed] [Google Scholar]
  • 24.Lewis JH, Kilgore ML, Goldman DP, et al. Participation of patients 65 years of age or older in cancer clinical trials. J Clin Oncol 2003;21:1383–9. [DOI] [PubMed] [Google Scholar]
  • 25.Lavoue V, Zeng X, Lau S, et al. Impact of robotics on the out-come of elderly patients with endometrial cancer. Gynecol Oncol 2014; 133:556–62. [DOI] [PubMed] [Google Scholar]
  • 26.Moore KN, Grainger LS, Smith C, Lanneau M, Walker JL, Gold MA, McMeekin DS. Pathologic findings and outcomes for octogenarians presenting with uterine malignancy. Gynecol Oncol 2007;106:572–8. [DOI] [PubMed] [Google Scholar]
  • 27.Fan CJ, Chien HL, Weiss MJ, He J, Wolfgang CL, Cameron JL, Pawlik TM, Makary MA. Minimally invasive versus open surgery in the Medicare population: a comparison of post-operative and economic outcomes. Surg Endosc 2018; 32:3874–80. [DOI] [PubMed] [Google Scholar]
  • 28.Orimo H, Ito H, Suzuki T, Araki A, Hosoi T, Sawabe M. Reviewing the definition of ‘‘elderly.’’ Geriatrics Gerontol Int 2006; 6:149–58. [Google Scholar]
  • 29.Vaknin Z, Perri T, Lau S, et al. Outcome and quality of life in a prospective cohort of the first 100 robotic surgeries for endometrial cancer, with focus on elderly patients. Int J Gynecol Cancer 2010;20:1367–73. [DOI] [PubMed] [Google Scholar]
  • 30.Frey MK, Ihnow SB, Worley MJ Jr, Heyman KP, Caputo TA. Minimally invasive staging of endometrial cancer is feasible and safe in elderly women. J Min Invasive Gynecol 2011;18:200–4. [DOI] [PubMed] [Google Scholar]
  • 31.Zeng XZ, Lavoue V, Lau S, et al. Outcome of robotic surgery for endometrial cancer as a function of patient age. Int J Gynecol Cancer 2015;25:637–44. [DOI] [PubMed] [Google Scholar]
  • 32.Zakhari A, Czuzoj-Shulman N, Spence AR, Gotlieb WH, Abenhaim HA. Hysterectomy for uterine cancer in the elderly: a comparison between laparoscopic and robot-assisted techniques. Int J Gynecol Cancer 2016; 26:1222–7. [DOI] [PubMed] [Google Scholar]
  • 33.Lavoue V, Zeng X, Lau S, et al. Impact of robotics on the out-come of elderly patients with endometrial cancer. Gynecol Oncol 2014;133:556–62. [DOI] [PubMed] [Google Scholar]
  • 34.Bourgin C, Lambaudie E, Houvenaeghel G, Foucher F, Levêque J, Lavoué V. Impact of age on surgical staging and approaches (laparotomy, laparoscopy and robotic surgery) in endometrial cancer management. Eur J Surg Oncol 2017;43:703–9. [DOI] [PubMed] [Google Scholar]
  • 35.Backes FJ, ElNaggar AC, Farrell MR, et al. Perioperative out-comes for laparotomy compared to robotic surgical staging of endometrial cancer in the elderly: a retrospective cohort. Int J Gynecol Cancer 2016;26:1717–21. [DOI] [PubMed] [Google Scholar]
  • 36.Lowe MP, Kumar S, Johnson PR, Kamelle SA, Chamberlain DH, Tillmanns TD. Robotic surgical management of endometrial cancer in octogenarians and nonagenarians: analysis of perioperative outcomes and review of the literature. J Robot Surg 2010;4:109–15. [DOI] [PubMed] [Google Scholar]
  • 37.Bishop EA, Java J, Moore KN, Walker JL. Operative outcomes among a geriatric population of endometrial cancer patients: an ancillary data analysis of Gynecologic Oncology Group study LAP2, in 45th Annual Meeting on Women’s Cancer. Gynecol Oncol 2014;133:7. [Google Scholar]
  • 38.Gallotta V, Conte C, D’Indinosante M, et al. Robotic surgery in elderly and very elderly gynecologic cancer patients. J Min Invasive Gynecol 2018;25:872–7. [DOI] [PubMed] [Google Scholar]
  • 39.Chen SH, Li ZA, Huang R, Xue HQ. Robot-assisted versus conventional laparoscopic surgery for endometrial cancer staging: a meta-analysis. Taiwan J Obstet Gynecol 2016;55:488–94. [DOI] [PubMed] [Google Scholar]
  • 40.Lauterbach R, Matanes E, Lowenstein L. Review of robotic surgery in gynecology-the future is here. Rambam Maimonides Med J 2017;28:8 10.5041/rmmj.10296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Dunker S, Hsu HY, Sebag J, Sadun AA. Perioperative risk factors for posterior ischemic optic neuropathy. J Am Coll Surg 2002;194:705–10. [DOI] [PubMed] [Google Scholar]

RESOURCES