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Figure.  Trends of Open, Laparoscopic, and Robotic-Assisted Radical Nephrectomy in the United States, 2003 to 2015
Trends of Open, Laparoscopic, and Robotic-Assisted Radical Nephrectomy in the United States, 2003 to 2015

Numbers below each year represent the total number of patients receiving radical nephrectomy.

Table 1.  Baseline Characteristics of Patients Receiving Laparoscopic and Robotic Radical Nephrectomy (2003-2015)
Baseline Characteristics of Patients Receiving Laparoscopic and Robotic Radical Nephrectomy (2003-2015)
Table 2.  Unadjusted and Adjusted Risk Ratios and Absolute Risk Differences for Perioperative Outcomes in Patients Undergoing Laparoscopic and Robotic Radical Nephrectomy, 2003-2015
Unadjusted and Adjusted Risk Ratios and Absolute Risk Differences for Perioperative Outcomes in Patients Undergoing Laparoscopic and Robotic Radical Nephrectomy, 2003-2015
Table 3.  Adjusted Cost Comparison by Surgical Approach, 2003-2015
Adjusted Cost Comparison by Surgical Approach, 2003-2015
Table 4.  Cost Comparison Analysis by the Source of Cost Data, 2003-2015
Cost Comparison Analysis by the Source of Cost Data, 2003-2015
1.
Van Poppel  H, Becker  F, Cadeddu  JA,  et al.  Treatment of localised renal cell carcinoma.  Eur Urol. 2011;60(4):662-672.PubMedGoogle ScholarCrossref
2.
Dunn  MD, Portis  AJ, Shalhav  AL,  et al.  Laparoscopic versus open radical nephrectomy: a 9-year experience.  J Urol. 2000;164(4):1153-1159.PubMedGoogle ScholarCrossref
3.
Permpongkosol  S, Chan  DY, Link  RE,  et al.  Long-term survival analysis after laparoscopic radical nephrectomy.  J Urol. 2005;174(4 pt 1):1222-1225.PubMedGoogle ScholarCrossref
4.
Schiavone  MB, Kuo  EC, Naumann  RW,  et al.  The commercialization of robotic surgery: unsubstantiated marketing of gynecologic surgery by hospitals.  Am J Obstet Gynecol. 2012;207(3):174.e1-174.e7.PubMedGoogle ScholarCrossref
5.
Wright  JD, Tergas  AI, Hou  JY,  et al.  Effect of regional hospital competition and hospital financial status on the use of robotic-assisted surgery.  JAMA Surg. 2016;151(7):612-620.PubMedGoogle ScholarCrossref
6.
Leow  JJ, Chang  SL, Meyer  CP,  et al.  Robot-assisted versus open radical prostatectomy: a contemporary analysis of an all-payer discharge database.  Eur Urol. 2016;70(5):837-845.PubMedGoogle ScholarCrossref
7.
Barbash  GI, Glied  SA.  New technology and health care costs—the case of robot-assisted surgery.  N Engl J Med. 2010;363(8):701-704.PubMedGoogle ScholarCrossref
8.
Wright  JD, Burke  WM, Wilde  ET,  et al.  Comparative effectiveness of robotic versus laparoscopic hysterectomy for endometrial cancer.  J Clin Oncol. 2012;30(8):783-791.PubMedGoogle ScholarCrossref
9.
Breitenstein  S, Nocito  A, Puhan  M, Held  U, Weber  M, Clavien  PA.  Robotic-assisted versus laparoscopic cholecystectomy: outcome and cost analyses of a case-matched control study.  Ann Surg. 2008;247(6):987-993.PubMedGoogle ScholarCrossref
10.
Paul  S, McCulloch  P, Sedrakyan  A.  Robotic surgery: revisiting “no innovation without evaluation”.  BMJ. 2013;346:f1573.PubMedGoogle ScholarCrossref
11.
Asimakopoulos  AD, Miano  R, Annino  F,  et al.  Robotic radical nephrectomy for renal cell carcinoma: a systematic review.  BMC Urol. 2014;14:75.PubMedGoogle ScholarCrossref
12.
Hemal  AK, Kumar  A.  A prospective comparison of laparoscopic and robotic radical nephrectomy for T1-2N0M0 renal cell carcinoma.  World J Urol. 2009;27(1):89-94.PubMedGoogle ScholarCrossref
13.
Weinberg  AC, Whalen  MJ, Paulucci  DJ,  et al.  Utilization of the robotic surgical platform for radical nephrectomy: a national comparison of trends for open, laparoscopic and robotic approaches.  Urol Pract. 2016;3(3):187-194.Google ScholarCrossref
14.
Golombos  DM, Chughtai  B, Trinh  QD,  et al.  Adoption of technology and its impact on nephrectomy outcomes, a US population-based analysis (2008-2012).  J Endourol. 2017;31(1):91-99.PubMedGoogle ScholarCrossref
15.
Schneeweiss  S, Seeger  JD, Landon  J, Walker  AM.  Aprotinin during coronary-artery bypass grafting and risk of death.  N Engl J Med. 2008;358(8):771-783.PubMedGoogle ScholarCrossref
16.
Lindenauer  PK, Pekow  P, Wang  K, Mamidi  DK, Gutierrez  B, Benjamin  EM.  Perioperative beta-blocker therapy and mortality after major noncardiac surgery.  N Engl J Med. 2005;353(4):349-361.PubMedGoogle ScholarCrossref
17.
Wright  JD, Ananth  CV, Lewin  SN,  et al.  Robotically assisted vs laparoscopic hysterectomy among women with benign gynecologic disease.  JAMA. 2013;309(7):689-698.PubMedGoogle ScholarCrossref
18.
Leow  JJ, Chang  SL, Trinh  QD.  Accurately determining patients who underwent robot-assisted surgery: limitations of administrative databases.  BJU Int. 2016;118(3):346-348.PubMedGoogle ScholarCrossref
19.
Tinay  I, Gelpi-Hammerschmidt  F, Leow  JJ,  et al.  Trends in utilisation, perioperative outcomes, and costs of nephroureterectomies in the management of upper tract urothelial carcinoma: a 10-year population-based analysis.  BJU Int. 2016;117(6):954-960.PubMedGoogle ScholarCrossref
20.
Dindo  D, Demartines  N, Clavien  PA.  Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey.  Ann Surg. 2004;240(2):205-213.PubMedGoogle ScholarCrossref
21.
Leow  JJ, Reese  SW, Jiang  W,  et al.  Propensity-matched comparison of morbidity and costs of open and robot-assisted radical cystectomies: a contemporary population-based analysis in the United States.  Eur Urol. 2014;66(3):569-576.PubMedGoogle ScholarCrossref
22.
Gastmeier  P, Sohr  D, Breier  A, Behnke  M, Geffers  C.  Prolonged duration of operation: an indicator of complicated surgery or of surgical (mis)management?  Infection. 2011;39(3):211-215.PubMedGoogle ScholarCrossref
23.
Lindenauer  PK, Pekow  PS, Lahti  MC, Lee  Y, Benjamin  EM, Rothberg  MB.  Association of corticosteroid dose and route of administration with risk of treatment failure in acute exacerbation of chronic obstructive pulmonary disease.  JAMA. 2010;303(23):2359-2367.PubMedGoogle ScholarCrossref
24.
Rothberg  MB, Pekow  PS, Lahti  M, Brody  O, Skiest  DJ, Lindenauer  PK.  Antibiotic therapy and treatment failure in patients hospitalized for acute exacerbations of chronic obstructive pulmonary disease.  JAMA. 2010;303(20):2035-2042.PubMedGoogle ScholarCrossref
25.
Austin  PC.  An introduction to propensity score methods for reducing the effects of confounding in observational studies.  Multivariate Behav Res. 2011;46(3):399-424.PubMedGoogle ScholarCrossref
26.
Diehr  P, Yanez  D, Ash  A, Hornbrook  M, Lin  DY.  Methods for analyzing health care utilization and costs.  Annu Rev Public Health. 1999;20:125-144.PubMedGoogle ScholarCrossref
27.
Patel  HD, Mullins  JK, Pierorazio  PM,  et al.  Trends in renal surgery: robotic technology is associated with increased use of partial nephrectomy.  J Urol. 2013;189(4):1229-1235.PubMedGoogle ScholarCrossref
28.
Intuitive Surgical. Intuitive surgical investment presentation Q3 2017. http://phx.corporate-ir.net/phoenix.zhtml?c=122359&p=irol-irhome. Updated August 4, 2017. Accessed August 18, 2017.
29.
Ramsay  C, Pickard  R, Robertson  C,  et al.  Systematic review and economic modelling of the relative clinical benefit and cost-effectiveness of laparoscopic surgery and robotic surgery for removal of the prostate in men with localised prostate cancer.  Health Technol Assess. 2012;16(41):1-313.PubMedGoogle ScholarCrossref
30.
Ghani  KR, Sukumar  S, Sammon  JD, Rogers  CG, Trinh  QD, Menon  M.  Practice patterns and outcomes of open and minimally invasive partial nephrectomy since the introduction of robotic partial nephrectomy: results from the nationwide inpatient sample.  J Urol. 2014;191(4):907-912.PubMedGoogle ScholarCrossref
31.
Kara  Ö, Maurice  MJ, Mouracade  P,  et al.  When partial nephrectomy is unsuccessful: understanding the reasons for conversion from robotic partial to radical nephrectomy at a tertiary referral center.  J Urol. 2017;198(1):30-35.PubMedGoogle ScholarCrossref
32.
Khandwala  YS, Jeong  IG, Kim  JH,  et al.  The incidence of unsuccessful partial nephrectomy within the United States: a nationwide population-based analysis from 2003 to 2015.  Urol Oncol. 2017;S1078-1439(17)30424-6. PubMedGoogle Scholar
33.
Kates  M, Ball  MW, Patel  HD, Gorin  MA, Pierorazio  PM, Allaf  ME.  The financial impact of robotic technology for partial and radical nephrectomy.  J Endourol. 2015;29(3):317-322.PubMedGoogle ScholarCrossref
34.
Venkat  P, Chen  LM, Young-Lin  N,  et al.  An economic analysis of robotic versus laparoscopic surgery for endometrial cancer: costs, charges and reimbursements to hospitals and professionals.  Gynecol Oncol. 2012;125(1):237-240.PubMedGoogle ScholarCrossref
35.
Centers for Medicare & Medicaid Services. Acute care hospital inpatient prospective payment system: payment system series. https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNProducts/downloads/AcutePaymtSysfctsht.pdf. Published December 2016. Accessed 25 August 2017.
36.
McCarthy  M.  Some US hospitals charge 10 times the cost of services, study finds.  BMJ. 2015;350:h3285.PubMedGoogle ScholarCrossref
37.
Bai  G, Anderson  GF.  Extreme markup: the fifty us hospitals with the highest charge-to-cost ratios.  Health Aff (Millwood). 2015;34(6):922-928.PubMedGoogle ScholarCrossref
38.
Ederhof  M, Ginsburg  PB.  Improving hospital incentives with better cost data.  N Engl J Med. 2017;376(11):1010-1011.PubMedGoogle ScholarCrossref
39.
Chopra  S, Simone  G, Metcalfe  C,  et al.  Robot-assisted level II-III inferior vena cava tumor thrombectomy: step-by-step technique and 1-year outcomes.  Eur Urol. 2017;72(2):267-274.PubMedGoogle ScholarCrossref
40.
Breda  A, Finelli  A, Janetschek  G, Porpiglia  F, Montorsi  F.  Complications of laparoscopic surgery for renal masses: prevention, management, and comparison with the open experience.  Eur Urol. 2009;55(4):836-850.PubMedGoogle ScholarCrossref
Original Investigation
October 24/31, 2017

Association of Robotic-Assisted vs Laparoscopic Radical Nephrectomy With Perioperative Outcomes and Health Care Costs, 2003 to 2015

Author Affiliations
  • 1Department of Urology, Stanford University Medical Center, Stanford, California
  • 2Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
  • 3University of California, San Diego School of Medicine
  • 4Department of Urology and Dermatology, Stanford University Medical Center, Stanford, California
  • 5Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston, Massachusetts
  • 6Division of Urology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
JAMA. 2017;318(16):1561-1568. doi:10.1001/jama.2017.14586
Key Points

Questions  Has the use of robotic-assisted vs laparoscopic radical nephrectomy changed from 2003 to 2015?

Findings  The proportion of radical nephrectomies using robotic-assisted operations increased from 1.5% in 2003 to 27.0% in 2015. Although there was no significant difference between robotic-assisted vs laparoscopic radical nephrectomy in major postoperative complications, robotic-assisted procedures were associated with longer operating time and higher direct hospital costs.

Meaning  The use of robotic-assisted radical nephrectomy increased substantially from 2003 to 2015 and was associated with prolonged operating time and increased costs.

Abstract

Importance  Use of robotic surgery has increased in urological practice over the last decade. However, the use, outcomes, and costs of robotic nephrectomy are unknown.

Objectives  To examine the trend in use of robotic-assisted operations for radical nephrectomy in the United States and to compare the perioperative outcomes and costs with laparoscopic radical nephrectomy.

Design, Setting, and Participants  This retrospective cohort study used the Premier Healthcare database to evaluate outcomes of patients who had undergone robotic-assisted or laparoscopic radical nephrectomy for renal mass at 416 US hospitals between January 2003 and September 2015. Multivariable regression modeling was used to assess outcomes.

Exposures  Robotic-assisted vs laparoscopic radical nephrectomy.

Main Outcomes and Measures  The primary outcome of the study was the trend in use of robotic-assisted radical nephrectomy. The secondary outcomes were perioperative complications, based on the Clavien classification system, and defined as any complication (Clavien grades 1-5) or major complications (Clavien grades 3-5, for which grade 5 results in death); resource use (operating time, blood transfusion, length of hospital stay); and direct hospital cost.

Results  Among 23 753 patients included in the study (mean age, 61.4 years; men, 13 792 [58.1%]), 18 573 underwent laparoscopic radical nephrectomy and 5180 underwent robotic-assisted radical nephrectomy. Use of robotic-assisted surgery increased from 1.5% (39 of 2676 radical nephrectomy procedures in 2003) to 27.0% (862 of 3194 radical nephrectomy procedures) in 2015 (P for trend <.001). In the weighted-adjusted analysis, there were no significant differences between robotic-assisted and laparoscopic radical nephrectomy in the incidence of any (Clavien grades 1-5) postoperative complications (adjusted rates, 22.2% vs 23.4%, difference, −1.2%; 95% CI, −5.4 to 3.0%) or major (Clavien grades 3-5) complications (adjusted rates, 3.5% vs 3.8%, difference, −0.3%; 95% CI, −1.0% to 0.5%). The rate of prolonged operating time (>4 hours) for patients undergoing the robotic-assisted procedure was higher than for patients receiving the laparoscopic procedure in the adjusted analysis (46.3% vs 25.8%; risk difference, 20.5%; 95% CI, 14.2% to 26.8%). Robotic-assisted radical nephrectomy was associated with higher mean 90-day direct hospital costs ($19 530 vs $16 851; difference, $2678; 95% CI, $838 to $4519), mainly accounted for operating room ($7217 vs $5378; difference, $1839; 95% CI, $1050 to $2628) and supply costs ($4876 vs $3891; difference, $985; 95% CI, $473 to $1498).

Conclusions and Relevance  Among patients undergoing radical nephrectomy for renal mass between 2003 and 2015, the use of robotic-assisted surgery increased substantially. The use of robotic-assistance was not associated with increased risk of any or major complications but was associated with prolonged operating time and higher hospital costs compared with laparoscopic surgery.

Introduction

Radical nephrectomy for renal cancer remains the standard of care for large tumors with curative intent and has become the preferred treatment option for T1 and T2 tumors not amenable to nephron-sparing surgery.1 Evidence suggests that there are no significant differences in oncological outcomes between laparoscopic and open radical nephrectomy, although laparoscopic procedures confer certain advantages over the open approach in terms of morbidity, blood loss, hospital length of stay, and postoperative analgesic requirements.2,3

Robotic surgery, in particular, has been rapidly adopted for a wide range of procedures over the last decade in the United States. While increasingly preferred for procedures that required open surgery, such as prostatectomy, it has also gradually replaced conventional laparoscopic surgery. This has largely been driven by extensive marketing and competition among hospitals to offer the most advanced technology.4-7 However, the introduction and rapid adoption of the robotic platform has resulted in increased costs without significantly improving outcomes compared with nonrobotic minimally invasive approaches.7-10

Since the first use of robotic-assisted radical nephrectomy for renal cancer was reported in 2005, several small, single institutional observational studies have reported limited evidence on oncological and perioperative outcomes, which may not have true clinical relevance.11 Some studies have shown equivalent perioperative outcomes despite increased costs of robotic-assisted compared with laparoscopic radical nephrectomy, yet most of these studies were limited by small sample sizes, lack of randomization, and antiquated data.12-14 The objective of this study was to examine the utilization of robotic-assisted radical nephrectomy in the United States from 2003 to 2015 and to compare the in-hospital outcomes and costs between the 2 procedures.

Methods
Data Source

A retrospective cohort study was performed using the Premier Healthcare database (Premier), an all-payer, fee-supported database developed to measure resource use and quality, to assess the usage of the robotic platform for radical nephrectomy. This database captures approximately 20% of all hospitalizations from more than 700 acute care hospitals in the United States (>530 million hospital visits and 6 million inpatient discharges per year since 2011). This database also contains information on demographic and clinical characteristics, such as pharmaceuticals administered, laboratory and other diagnostic tests performed, and therapeutic services provided during admission. The Premier Healthcare database uses a reconciliation process that allows for verification and validation of hospital reporting for the use of resources and cost. Data audits are performed, and if reported costs submitted do not match the hospital’s financial statement, Premier works with the hospital to correct the discrepancy.15 Procedure and comorbidity data are provided by International Classification of Diseases, Ninth Revision (ICD-9) codes. This method has been used in other studies.6,8,16,17 This investigation was deemed exempt from informed consent requirements by the Stanford University Medical Center institutional review board.

Patients

Patients receiving radical nephrectomy between January 2003 and September 2015 were identified by ICD-9 code (55.51) and included in the analysis. Affiliated codes were identified and reviewed to ensure that radical nephrectomy was the primary procedure performed based on the diagnosis or concern for kidney cancer (eTable 1 in the Supplement). For example, cases of upper tract urothelial carcinoma (ICD-9 codes 189.1 or 189.2), which have unique postoperative complication profiles stemming from the need for concurrent ureterectomy and cystotomy were excluded. Only patients receiving either robotic-assisted or laparoscopic radical nephrectomy were included. Patients undergoing open radical nephrectomy or nonelective surgeries were excluded. The inclusion and exclusion methodology is further depicted in the eFigure in the Supplement.

Main Exposures

Patients receiving robotic-assisted or laparoscopic radical nephrectomy were identified using the Charge Description Master, a catalog of all billable items eventually charged to the patient, to avoid possible inaccuracies stemming from the use of the ICD-9 coding system in identifying robotic-assisted surgery.17 The utilization of supplies unique to robotic procedures, as specified by the EndoWrist Instrument & Accessory Catalog from Intuitive Surgical, was used as an indicator for the use of robotic-assistance.18 Nonrobotic cases were identified in a similar manner.

Demographic and Clinical Characteristics

Hospital-level data collected directly by Premier included size (<300, 300-500, and >500 beds), location (urban, rural), and teaching status (teaching, nonteaching). Patient-related data included year of surgery, age, race (white, black, and other), sex, and insurance status (private, Medicare, Medicaid, and other). Race determination was based on self-reporting by the patient and included in the demographics analysis to further characterize the patient population.6,17,19 Patients were also categorized based on the Charlson comorbidity index (0, 1, ≥2).

Outcomes

The primary outcome of the study was the trend in use of the robotic-assisted radical nephrectomy. The secondary outcomes of interest were perioperative complications, resource use, and direct hospital costs. Postoperative complications were classified based on the Clavien classification system.20 These complications were defined as any (Clavien grades 1-5) or major (Clavien grades 3-5). Grade 1 complications include “Any deviation from the normal postoperative course without the need for pharmacological treatment or surgical, endoscopic, and radiological intervention.” Grade 2 complications “[require] pharmacologic treatment with drugs other than such allowed for grade 1 complications.” Grade 3 complications “[require] surgical, endoscopic or radiological intervention.” Grade 4 describes “Life-threatening complications requiring intermediate care/intensive care unit.” Grade 5 complications result in the “[d]eath of a patient.” To identify events defined by the Clavien classification system, we used ICD-9 codes as previously described.6,21 Resource use variables analyzed included blood transfusion (packed red blood cells), operating time (hours), and length of stay (days). Operating time (≤4 hours vs >4 hours) and length of stay (≤4 days vs >4 days) were categorized as dichotomous variables.19,22

Two types of direct hospital costs were provided by the Premier Healthcare database. A total of 78.5% of all patients included in the study were treated by hospitals providing procedural costs (or “reported costs”) and the remainder were treated by hospitals providing estimates based on Medicare cost-to-charge ratios (MCCR or “estimated costs”).17,23,24 If hospitals have their own cost-accounting system, they assign relative value units to procedures to estimate cost. These hospitals are then able to provide Premier with both charge and cost data. If hospitals do not have a cost-accounting system or do not use relative value units to estimate cost, they provide only charge data. Hospital departments are mapped to a specific line on the Medicare Cost Report to determine the appropriate MCCR, which is then used to determine cost at a given resource level. All costs were adjusted to 2015 US dollars using the consumer price index.

Statistical Analyses

Categorical variables were presented as numbers and percentages and were compared using the χ2 test. Linear trends in the proportion of robotic-assisted radical nephrectomies over 13 years were assessed using a logistic regression model. To reduce potential confounding, we performed an adjustment for differences in baseline patient characteristics by using a weighted logistic regression model with inverse probability of treatment weighting (IPTW).25 Using this technique, the weights used for patients undergoing laparoscopic radical nephrectomy were the inverse of 1 minus the propensity score, and weights used for patients receiving robotic-assisted radical nephrectomy were the inverse of the propensity score alone. The propensity scores were estimated by multiple logistic regression analysis without regard to outcomes. A full nonparsimonious model was developed including all variables shown in Table 1.

Log-binomial regression models were used to estimate risk ratios (RRs) for each exposure on perioperative outcomes. Since it was determined that the outcome variables related to direct hospital costs were not normally distributed, a generalized linear model with gamma distribution was generated, allowing for a link function to connect the predictor with the response variables.26 All models were adjusted for clustering of patients within hospitals using robust standard errors to account for interhospital variability. An analysis was also conducted to determine if the costs related to each surgical approach (robotic-assisted and laparoscopic radical nephrectomy) were related to the source of cost obtained within the Premier Hospital database. For these analyses, the propensity score analyses were re-performed to obtain a new IPTW for each patient. These analyses were not prespecified but rather post hoc and thus interpreted as exploratory. Statistical analysis was performed using 2-sided tests, with a significance level of <.05 and Stata 14 statistical software (StataCorp).

Results

A cohort of 23 753 patients undergoing elective laparoscopic radical nephrectomy (n = 18 573) or robotic-assisted radical nephrectomy (n = 5180) for the management of renal masses at 416 US hospitals between 2003 and 2015 was evaluated. The Figure shows the trend in surgical approach for radical nephrectomy over time. Use of robotic-assisted surgery for radical nephrectomy increased from 1.5% to 27.0% in the entire radical nephrectomy cohort from 2003 to 2015 (P for trend <.001). Since 2009, the decrease in laparoscopic radical nephrectomies paralleled the increase in robotic-assisted radical nephrectomies, while the proportion of open radical nephrectomy cases plateaued. By 2015, robotic-assisted radical nephrectomy was performed more commonly than laparoscopic radical nephrectomy in the United States.

The characteristics before and after propensity weighting are summarized in Table 1. Before the propensity weighting process, the robotic-assisted and laparoscopic radical nephrectomy cohorts differed in several variables, particularly year of surgery, Charlson comorbidity index, and insurance status. After propensity score weighting, similar covariate distributions were achieved between robotic-assisted and laparoscopic radical nephrectomy in the weighted populations (the standardized difference score, <0.2).

Unadjusted and IPTW-adjusted perioperative outcomes are presented in Table 2. The unadjusted rate of any (28.2% vs 21.9%; risk difference, 6.3%; 95% CI, 4.9% to 7.6%) or major complications (4.3% vs 3.6%; risk difference, 0.7%; 95% CI, 0.1% to 1.3%), prolonged operating time (43.8% vs 26.2%; risk difference, 17.6%; 95% CI, 16.1% to 19.1%), and blood transfusion (19.5% vs 18.2%; risk difference, 1.4%; 95% CI, 1.4% to 2.6%) for patients receiving robotic-assisted radical nephrectomy were higher than for those who received laparoscopic radical nephrectomy. Prolonged length of stay was less frequent in the robotic-assisted vs the laparoscopic radical nephrectomy group (21.2% vs 25.1%; risk difference, −3.9%; 95% CI, −5.2% to −2.7%). However, the IPTW-adjusted rates of any or major complications, blood transfusion, and prolonged length of stay were similar between the robotic-assisted and laparoscopic radical nephrectomy groups. The IPTW-adjusted rate of prolonged operating time for patients undergoing robotic-assisted radical nephrectomy was higher than for patients receiving laparoscopic radical nephrectomy (46.3% vs 25.8%; risk difference, 20.5%; 95% CI, 14.2% to 26.8%).

An unadjusted cost comparison by surgical approach is presented in the eTable 2 in the Supplement. The IPTW-adjusted analysis suggests that robotic-assisted radical nephrectomy was associated with higher mean 90-day direct hospital costs ($19530 vs $16851; difference, $2678; 95% CI, $838 to $4519), likely accounted for by higher operating room ($7217 vs $5378; difference, $1839; 95% CI, $1050 to $2628) and supply costs ($4876 vs $3891; difference, $985, 95% CI, $473 to $1498; Table 3). Further analyses were performed to identify the association of the source of cost obtained by the Premier data set (reported vs estimated) and the difference in direct hospital costs between robotic-assisted and laparoscopic radical nephrectomy (Table 4). The 90-day direct hospital ($19 471 vs $16 779; difference, $2692; 95% CI, $787 to $4597), supply ($4905 vs $3999; difference, $906; 95% CI, $289 to $1524), and operating room costs ($7022 vs $5265; difference, $1758; 95% CI, $869 to $2647) were higher for robotic-assisted radical nephrectomy among patients treated at hospitals providing reported costs. Among patients receiving care from hospitals providing estimated costs using MCCR, robotic-assisted radical nephrectomy was associated with higher supply costs ($4728 vs $3474; difference, $1254; 95% CI, $136 to $2373) and operating room costs ($7589 vs $5810; difference, $1779; 95% CI, $227 to $3331) but similar 90-day direct hospital cost compared with laparoscopic radical nephrectomy ($19 187 vs $17 112; difference, $2075; 95% CI, −$1288 to $5439).

Discussion

In this retrospective cohort study evaluating patients undergoing robotic-assisted or laparoscopic radical nephrectomy for renal mass in the United States between 2003 and 2015, use of robotic-assisted surgery increased from 1.5% to 27.0% for the entire radical nephrectomy cohort. Compared with laparoscopic radical nephrectomy, robotic-assisted radical nephrectomy was not associated with an increased risk of any or major postoperative complications but was associated with prolonged operating time and higher hospital costs.

The use of the robotic platform has increased rapidly for curative renal surgery, especially for partial nephrectomies. However, little is known about the nationwide use of robotic-assistance for radical nephrectomy in the United States. Some studies have suggested that the proportion of robotic-assisted cases was less than 10% of all radical nephrectomies during the late 2000s.13,27 In contrast, this study found that the proportion of robotic-assisted radical nephrectomies increased to approximately 30% of all radical nephrectomies by 2015, which is higher than for the laparoscopic approach in the United States. A parallel decrease in the use of laparoscopic radical nephrectomy suggests a shift to robotic surgery from cases that would have been previously treated laparoscopically rather than by open surgery.

It remains unclear why the use of robotic-assistance has increased substantially and has been steadily replacing laparoscopic radical nephrectomies. One possibility is the financial viability of the robotic system in relatively small hospitals. The costs of purchasing and maintaining the robotic system range from $0.5 to $2.5 million and $80 000–$170 000 per year , respectively.28 Surgeons have to perform at least 100 to 150 procedures annually to offset the upfront and ongoing costs of its acquisition.29 Another possibility is that the increase in robotic-assisted radical nephrectomies might be associated with the known increase in robotic-assisted partial nephrectomies. The use of robotic-assistance has increased rapidly since 2008 and in some areas has overtaken laparoscopic partial nephrectomy.27,30 This trend suggests an overall increase in the risk of intraoperative conversion to radical nephrectomy as surgeons attempt to treat larger and more complex tumors using the nephron-sparing approach.31 Considering that the incidence of intraoperative robotic-assisted partial to radical nephrectomy conversion remains prevalent especially for low-volume hospitals and surgeons in the United States, the increase in unsuccessful robotic-assisted partial nephrectomies may have contributed to the increase in robotic-assisted radical nephrectomy use.32 As urological training has been focused on robotic surgery driven predominantly by the widespread use of robotic-assisted radical prostatectomy (more than 80% of the total prostatectomies in the United States in 2013), urologists completing their residency or fellowship training may also prefer the robotic platform over laparoscopic surgery due to its ergonomic console and 3-dimensional screen.6

Although the use of the robotic platform has been well-received by surgeons performing laparoscopic partial nephrectomy due to ease of tumor resection and renorrhaphy, the evidence supporting the use of robotic-assistance for radical nephrectomy remains somewhat biased. Radical nephrectomy does not require the routine use of intracorporeal suturing, which is a primary advantage of robotic assistance in partial nephrectomy and radical prostatectomy. Furthermore, there are several disadvantages of robotic technology scarcely acknowledged by prior literature. For example, robot arms return minimal tactile feedback to the surgeon. Moreover, the field of view during robotic-assisted radical nephrectomy is relatively narrow. Therefore, special attention is required to prevent unintentional trauma to peripheral organs not felt or visualized by the surgeon.10

There is also a significant cost burden attributed to the use of the robotic system. This study shows that the use of the robotic platform for radical nephrectomy increased the total direct hospital cost by nearly $2700, which is more than 15% of the total cost of the laparoscopic approach. This increased expense for robotic-assisted radical nephrectomy was mostly accounted for by increased operating room cost, which is directly correlated with operating time. These findings are consistent with the observations of a study from Maryland that reported a $5111 increase in hospital charges per robotic-assisted radical nephrectomy compared with laparoscopic radical nephrectomy.33 Hospitals are likely to increase charges for robotic surgery to recoup costs related to the acquisition and maintenance of the robotic system despite not receiving reimbursement for these fixed costs from Medicare and private insurers.34 Increased hospital charges for robotic surgery influence future reimbursement because the Centers for Medicare & Medicaid Services (CMS) use hospital charges to calculate the relative weight for each diagnosis related group (DRG) annually, which in turn help determine the payment made for inpatient services. The DRG weight is determined by the average resources required to treat cases within the DRG and is multiplied by the average payment rate for a typical case to yield the total reimbursement rate.35 Thus, hospitals are incentivized to charge payers for the true cost of robot use. A prior study estimates an additional cost to the health care system of $2.5 billion if conventional surgeries were to be fully replaced by robotic surgery.7

As for the acquisition, maintenance, and replacement of the robot, the attainment of these costs remains challenging. The true cost of the robot varies based on factors such as the number of robotic cases being performed by each hospital, nonurological use of the robot technology, the type of robotic system being used, specific price negotiations between the hospital and robot company, and likely other variables as well. Thus, the fixed costs of the robot cannot be accurately determined by this database.

Robotic surgery was associated with higher 90-day direct hospital costs (>$2692) for hospitals providing reported costs, though not for hospitals providing MCCR-estimated costs. Although CMS uses hospital charges to estimate the relative cost of treating patients, charges tend to vary among hospitals according to size, location, payer mix, and for-profit status.36,37 Given the potential for variability using the latter process, hospitals have been encouraged to adopt an internal cost-measurement system.38 Therefore, the higher costs for robotic surgery observed for patients from hospitals providing reported costs may have greater clinical relevance and accuracy.

Robotic partial nephrectomy does have some advantages over traditional laparoscopic partial nephrectomy, including reduced ischemic time and total operating time. However, this study suggests that the traditional advantages of robotic surgery are not applicable to radical nephrectomy when compared with conventional laparoscopy. Some high-volume surgeons also argue that robotic-assisted radical nephrectomy may be beneficial for treating advanced kidney cancer with vena cava tumor thrombus in a minimally invasive manner.39 However, that does not adequately explain the rapid increase in robotic-assisted radical nephrectomy within the United States because these advanced kidney cancers have been largely treated by the open approach. Although the initial results of safety and short-term oncological outcomes are promising, further investigation is required to determine the role of robotic surgery for vena cava tumor thrombectomy.

Limitations

This study has several limitations. First, it is subject to potential misclassification bias as billing codes and ICD-9 procedural codes were used to capture robotic-assisted surgeries. However, previous studies using the same method showed that ICD-9 coding for robotic-assisted surgery was sufficiently specific.6,8,17 Second, the Premier Healthcare database does not publish information regarding tumor characteristics. Large or complex renal tumors, such as hilar and endophytic tumors, increase the risk for perioperative complications during laparoscopic surgery, although more notably for partial nephrectomy.40 The influence of tumor characteristics is likely negligible for both robotic-assisted and laparoscopic radical nephrectomy because they are both minimally invasive and have similar clinical indications. Third, because the rate of conversion to open radical nephrectomy is difficult to evaluate retrospectively, the rates of conversion could not be compared between the 2 approaches using the Premier Healthcare database. Fourth, long-term data are necessary to further compare oncological outcomes and quality of life between robotic-assisted and laparoscopic radical nephrectomy.

Conclusions

Among patients undergoing radical nephrectomy for renal mass between 2003 and 2015, the use of robotic-assisted surgery increased substantially. The use of robotic-assistance was not associated with increased risk of any or major complications but was associated with prolonged operating time and higher hospital costs compared with laparoscopic surgery.

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Article Information

Corresponding Author: In Gab Jeong, MD, PhD, Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea (igjeong@amc.seoul.kr).

Accepted for Publication: September 20, 2017.

Author Contributions: Drs Jeong and Chung had full access to all of the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis.

Concept and design: Jeong, Han, Chung.
Acquisition, analysis, or interpretation of data: Khandwala, Kim, Han, Li, Wang, Chang.
Drafting of the manuscript: Jeong, Khandwala, Chang.
Critical revision of the manuscript for important intellectual content: Khandwala, Kim, Han, Li, Wang, Chang, Chung.
Statistical analysis: Jeong, Khandwala, Li, Wang.
Administrative, technical, or material support: Kim, Han.

Supervision: Chung.

Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Dr Chung reported personal fees from Intuitive Surgical. No other disclosures were reported.

Additional Contributions: We thank Sung-Cheol Yun, PhD, for his assistance with the statistical analysis. He is an associate professor of University of Ulsan College of Medicine, Asan Medical Center (Seoul, Korea) and was not compensated for his work. We also thank Bruce Bowdy, RPh, PhD, vice president of Premier Applied Sciences (Premier, Inc), for his assistance with the study. He was not compensated for his contribution.

References
1.
Van Poppel  H, Becker  F, Cadeddu  JA,  et al.  Treatment of localised renal cell carcinoma.  Eur Urol. 2011;60(4):662-672.PubMedGoogle ScholarCrossref
2.
Dunn  MD, Portis  AJ, Shalhav  AL,  et al.  Laparoscopic versus open radical nephrectomy: a 9-year experience.  J Urol. 2000;164(4):1153-1159.PubMedGoogle ScholarCrossref
3.
Permpongkosol  S, Chan  DY, Link  RE,  et al.  Long-term survival analysis after laparoscopic radical nephrectomy.  J Urol. 2005;174(4 pt 1):1222-1225.PubMedGoogle ScholarCrossref
4.
Schiavone  MB, Kuo  EC, Naumann  RW,  et al.  The commercialization of robotic surgery: unsubstantiated marketing of gynecologic surgery by hospitals.  Am J Obstet Gynecol. 2012;207(3):174.e1-174.e7.PubMedGoogle ScholarCrossref
5.
Wright  JD, Tergas  AI, Hou  JY,  et al.  Effect of regional hospital competition and hospital financial status on the use of robotic-assisted surgery.  JAMA Surg. 2016;151(7):612-620.PubMedGoogle ScholarCrossref
6.
Leow  JJ, Chang  SL, Meyer  CP,  et al.  Robot-assisted versus open radical prostatectomy: a contemporary analysis of an all-payer discharge database.  Eur Urol. 2016;70(5):837-845.PubMedGoogle ScholarCrossref
7.
Barbash  GI, Glied  SA.  New technology and health care costs—the case of robot-assisted surgery.  N Engl J Med. 2010;363(8):701-704.PubMedGoogle ScholarCrossref
8.
Wright  JD, Burke  WM, Wilde  ET,  et al.  Comparative effectiveness of robotic versus laparoscopic hysterectomy for endometrial cancer.  J Clin Oncol. 2012;30(8):783-791.PubMedGoogle ScholarCrossref
9.
Breitenstein  S, Nocito  A, Puhan  M, Held  U, Weber  M, Clavien  PA.  Robotic-assisted versus laparoscopic cholecystectomy: outcome and cost analyses of a case-matched control study.  Ann Surg. 2008;247(6):987-993.PubMedGoogle ScholarCrossref
10.
Paul  S, McCulloch  P, Sedrakyan  A.  Robotic surgery: revisiting “no innovation without evaluation”.  BMJ. 2013;346:f1573.PubMedGoogle ScholarCrossref
11.
Asimakopoulos  AD, Miano  R, Annino  F,  et al.  Robotic radical nephrectomy for renal cell carcinoma: a systematic review.  BMC Urol. 2014;14:75.PubMedGoogle ScholarCrossref
12.
Hemal  AK, Kumar  A.  A prospective comparison of laparoscopic and robotic radical nephrectomy for T1-2N0M0 renal cell carcinoma.  World J Urol. 2009;27(1):89-94.PubMedGoogle ScholarCrossref
13.
Weinberg  AC, Whalen  MJ, Paulucci  DJ,  et al.  Utilization of the robotic surgical platform for radical nephrectomy: a national comparison of trends for open, laparoscopic and robotic approaches.  Urol Pract. 2016;3(3):187-194.Google ScholarCrossref
14.
Golombos  DM, Chughtai  B, Trinh  QD,  et al.  Adoption of technology and its impact on nephrectomy outcomes, a US population-based analysis (2008-2012).  J Endourol. 2017;31(1):91-99.PubMedGoogle ScholarCrossref
15.
Schneeweiss  S, Seeger  JD, Landon  J, Walker  AM.  Aprotinin during coronary-artery bypass grafting and risk of death.  N Engl J Med. 2008;358(8):771-783.PubMedGoogle ScholarCrossref
16.
Lindenauer  PK, Pekow  P, Wang  K, Mamidi  DK, Gutierrez  B, Benjamin  EM.  Perioperative beta-blocker therapy and mortality after major noncardiac surgery.  N Engl J Med. 2005;353(4):349-361.PubMedGoogle ScholarCrossref
17.
Wright  JD, Ananth  CV, Lewin  SN,  et al.  Robotically assisted vs laparoscopic hysterectomy among women with benign gynecologic disease.  JAMA. 2013;309(7):689-698.PubMedGoogle ScholarCrossref
18.
Leow  JJ, Chang  SL, Trinh  QD.  Accurately determining patients who underwent robot-assisted surgery: limitations of administrative databases.  BJU Int. 2016;118(3):346-348.PubMedGoogle ScholarCrossref
19.
Tinay  I, Gelpi-Hammerschmidt  F, Leow  JJ,  et al.  Trends in utilisation, perioperative outcomes, and costs of nephroureterectomies in the management of upper tract urothelial carcinoma: a 10-year population-based analysis.  BJU Int. 2016;117(6):954-960.PubMedGoogle ScholarCrossref
20.
Dindo  D, Demartines  N, Clavien  PA.  Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey.  Ann Surg. 2004;240(2):205-213.PubMedGoogle ScholarCrossref
21.
Leow  JJ, Reese  SW, Jiang  W,  et al.  Propensity-matched comparison of morbidity and costs of open and robot-assisted radical cystectomies: a contemporary population-based analysis in the United States.  Eur Urol. 2014;66(3):569-576.PubMedGoogle ScholarCrossref
22.
Gastmeier  P, Sohr  D, Breier  A, Behnke  M, Geffers  C.  Prolonged duration of operation: an indicator of complicated surgery or of surgical (mis)management?  Infection. 2011;39(3):211-215.PubMedGoogle ScholarCrossref
23.
Lindenauer  PK, Pekow  PS, Lahti  MC, Lee  Y, Benjamin  EM, Rothberg  MB.  Association of corticosteroid dose and route of administration with risk of treatment failure in acute exacerbation of chronic obstructive pulmonary disease.  JAMA. 2010;303(23):2359-2367.PubMedGoogle ScholarCrossref
24.
Rothberg  MB, Pekow  PS, Lahti  M, Brody  O, Skiest  DJ, Lindenauer  PK.  Antibiotic therapy and treatment failure in patients hospitalized for acute exacerbations of chronic obstructive pulmonary disease.  JAMA. 2010;303(20):2035-2042.PubMedGoogle ScholarCrossref
25.
Austin  PC.  An introduction to propensity score methods for reducing the effects of confounding in observational studies.  Multivariate Behav Res. 2011;46(3):399-424.PubMedGoogle ScholarCrossref
26.
Diehr  P, Yanez  D, Ash  A, Hornbrook  M, Lin  DY.  Methods for analyzing health care utilization and costs.  Annu Rev Public Health. 1999;20:125-144.PubMedGoogle ScholarCrossref
27.
Patel  HD, Mullins  JK, Pierorazio  PM,  et al.  Trends in renal surgery: robotic technology is associated with increased use of partial nephrectomy.  J Urol. 2013;189(4):1229-1235.PubMedGoogle ScholarCrossref
28.
Intuitive Surgical. Intuitive surgical investment presentation Q3 2017. http://phx.corporate-ir.net/phoenix.zhtml?c=122359&p=irol-irhome. Updated August 4, 2017. Accessed August 18, 2017.
29.
Ramsay  C, Pickard  R, Robertson  C,  et al.  Systematic review and economic modelling of the relative clinical benefit and cost-effectiveness of laparoscopic surgery and robotic surgery for removal of the prostate in men with localised prostate cancer.  Health Technol Assess. 2012;16(41):1-313.PubMedGoogle ScholarCrossref
30.
Ghani  KR, Sukumar  S, Sammon  JD, Rogers  CG, Trinh  QD, Menon  M.  Practice patterns and outcomes of open and minimally invasive partial nephrectomy since the introduction of robotic partial nephrectomy: results from the nationwide inpatient sample.  J Urol. 2014;191(4):907-912.PubMedGoogle ScholarCrossref
31.
Kara  Ö, Maurice  MJ, Mouracade  P,  et al.  When partial nephrectomy is unsuccessful: understanding the reasons for conversion from robotic partial to radical nephrectomy at a tertiary referral center.  J Urol. 2017;198(1):30-35.PubMedGoogle ScholarCrossref
32.
Khandwala  YS, Jeong  IG, Kim  JH,  et al.  The incidence of unsuccessful partial nephrectomy within the United States: a nationwide population-based analysis from 2003 to 2015.  Urol Oncol. 2017;S1078-1439(17)30424-6. PubMedGoogle Scholar
33.
Kates  M, Ball  MW, Patel  HD, Gorin  MA, Pierorazio  PM, Allaf  ME.  The financial impact of robotic technology for partial and radical nephrectomy.  J Endourol. 2015;29(3):317-322.PubMedGoogle ScholarCrossref
34.
Venkat  P, Chen  LM, Young-Lin  N,  et al.  An economic analysis of robotic versus laparoscopic surgery for endometrial cancer: costs, charges and reimbursements to hospitals and professionals.  Gynecol Oncol. 2012;125(1):237-240.PubMedGoogle ScholarCrossref
35.
Centers for Medicare & Medicaid Services. Acute care hospital inpatient prospective payment system: payment system series. https://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNProducts/downloads/AcutePaymtSysfctsht.pdf. Published December 2016. Accessed 25 August 2017.
36.
McCarthy  M.  Some US hospitals charge 10 times the cost of services, study finds.  BMJ. 2015;350:h3285.PubMedGoogle ScholarCrossref
37.
Bai  G, Anderson  GF.  Extreme markup: the fifty us hospitals with the highest charge-to-cost ratios.  Health Aff (Millwood). 2015;34(6):922-928.PubMedGoogle ScholarCrossref
38.
Ederhof  M, Ginsburg  PB.  Improving hospital incentives with better cost data.  N Engl J Med. 2017;376(11):1010-1011.PubMedGoogle ScholarCrossref
39.
Chopra  S, Simone  G, Metcalfe  C,  et al.  Robot-assisted level II-III inferior vena cava tumor thrombectomy: step-by-step technique and 1-year outcomes.  Eur Urol. 2017;72(2):267-274.PubMedGoogle ScholarCrossref
40.
Breda  A, Finelli  A, Janetschek  G, Porpiglia  F, Montorsi  F.  Complications of laparoscopic surgery for renal masses: prevention, management, and comparison with the open experience.  Eur Urol. 2009;55(4):836-850.PubMedGoogle ScholarCrossref
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