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影响美国使用机器人手术治疗子宫内膜癌的因素。

Factors Impacting Use of Robotic Surgery for Treatment of Endometrial Cancer in the United States.

作者信息

Blake Erin A, Sheeder Jeanelle, Behbakht Kian, Guntupalli Saketh R, Guy Michael S

机构信息

Department of Obstetrics and Gynecology, University of Colorado, 12631 East 17th Avenue, Room 4007, Aurora, 80045, CO, USA.

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado, Denver, CO, USA.

出版信息

Ann Surg Oncol. 2016 Oct;23(11):3744-3748. doi: 10.1245/s10434-016-5252-x. Epub 2016 May 12.

Abstract

OBJECTIVE

This study was designed to examine the impact of patient socioeconomic, clinical, and hospital characteristics on the utilization of robotics in the surgical staging of endometrial cancer.

METHODS

Patients surgically treated for endometrial cancer at facilities that offered robotic and open approaches were identified from the National Inpatient Sample Database from 2008 to 2012. The groups were compared for socioeconomic, clinical, and hospital differences. Medical comorbidity scores were calculated using the Charlson comorbidity index. T tests and χ (2) were used to compare groups. Multivariable analyses were used to determine factors that were independently associated with a robotic approach.

RESULTS

A total of 18,284 patients were included (robotic, n = 7169; laparotomy, n = 11,115). Significant differences were noted in all patient clinical and socioeconomic characteristics and all hospital characteristics. Multivariable analyses identified factors that independently predicted patients undergoing robotic surgery. These patients were older [adjusted odds ratio (aOR) 1.008; 95 % confidence interval (CI) 1.004-1.011], white (aOR 1.38; 95 % CI 1.27-1.50), and privately insured (aOR 1.16; 95 % CI 1.07-1.26). Clinically, these women were more likely to be obese (aOR 1.20; 95 % CI 1.11-1.30) and to be undergoing an elective case (aOR 1.25; 95 % CI 1.11-1.40). Hospitals were more likely to be under private control (aOR 1.55, 95 % CI 1.39-1.71) but less likely to be located in the south (aOR 0.87; 0.81-0.93), quantified as large or medium (aOR 0.57; 95 %CI 0.50-0.67), or teaching hospitals (aOR 0.68; 95 % CI 0.63-0.74).

CONCLUSIONS

Socioeconomic status and hospital characteristics are factors that independently predict robotic utilization in the United States. These racial, socioeconomic, and geographic disparities warrant further study regarding the utilization of this important technology.

摘要

目的

本研究旨在探讨患者的社会经济、临床及医院特征对子宫内膜癌手术分期中机器人技术应用的影响。

方法

从2008年至2012年的国家住院患者样本数据库中,识别出在提供机器人手术和开放手术方法的机构接受子宫内膜癌手术治疗的患者。比较两组患者的社会经济、临床及医院差异。使用Charlson合并症指数计算医疗合并症评分。采用t检验和χ²检验比较两组。多变量分析用于确定与机器人手术方法独立相关的因素。

结果

共纳入18284例患者(机器人手术组,n = 7169;剖腹手术组,n = 11115)。在所有患者临床和社会经济特征以及所有医院特征方面均发现显著差异。多变量分析确定了独立预测接受机器人手术患者的因素。这些患者年龄较大[调整优势比(aOR)1.008;95%置信区间(CI)1.004 - 1.011],为白人(aOR 1.38;95% CI 1.27 - 1.50),且有私人保险(aOR 1.16;95% CI 1.07 - 1.26)。临床上,这些女性更可能肥胖(aOR 1.20;95% CI 1.11 - 1.30)且接受择期手术(aOR 1.25;95% CI 1.11 - 1.40)。医院更可能由私人控制(aOR 1.55,95% CI 1.39 - 1.71),但位于南部的可能性较小(aOR 0.87;0.81 - 0.93),规模为大或中型的可能性较小(aOR 0.57;95% CI 0.50 - 0.67),或为教学医院的可能性较小(aOR 0.68;95% CI 0.63 - 0.74)。

结论

社会经济地位和医院特征是在美国独立预测机器人技术应用的因素。这些种族、社会经济和地理差异值得对这项重要技术的应用进行进一步研究。

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