BACKGROUND: Although it is uncommon, the incidence of endometrial cancer and atypical hyperplasia among reproductive-aged women is increasing. The fertility outcomes in this population are not well described. OBJECTIVE: We aim to describe the patterns of care and fertility outcomes of reproductive-aged women with endometrial cancer or atypical hyperplasia. MATERIALS AND METHODS: A cohort of women aged 45 years with endometrial cancer or atypical hyperplasia diagnosed in 2000 to 2014 were identified in Truven Marketscan, an insurance claims database of commercially insured patients in the United States. Treatment information, including use of progestin therapy, hysterectomy, and assisted fertility services, was identified and collected using a combination of Common Procedural Terminology codes, International Statistical Classification of Diseases and Related Health Problems codes, and National Drug Codes. Pregnancy events were identified from claims data using a similar technique. Patients were categorized as receiving progestin therapy alone, progestin therapy followed by hysterectomy, or standard surgical management with hysterectomy alone. Multivariable logistic regression was performed to assess factors associated with receiving fertility-sparing treatment. RESULTS: A total of 4007 reproductive-aged patients diagnosed with endometrial cancer or atypical hyperplasia were identified. The majority of these patients (n ¼ 3189; 79.6%) received standard surgical management. Of the 818 patients treated initially with progestins, 397 (48.5%) subsequently underwent hysterectomy, whereas 421 (51.5%) did not. Patients treated with progestin therapy had a lower median age than those who received standard surgical management (median age, 36 vs 41 years; P < .001). The proportion of patients receiving progestin therapy increased significantly over the observation period, with 24.9% treated at Harrison et al. Fertility conservation and pregnancy outcomes in young women with endometrial cancer or hyperplasia. Am J Obstet Gynecol 2019.
IntroductionThe purpose of this study was to compare operative times, surgical outcomes, resource utilization, and hospital charges before and after the implementation of a sentinel lymph node (SLN) mapping algorithm in endometrial cancer.MethodsAll patients with clinical stage I endometrial cancer were identified pre- (2012) and post- (2017) implementation of the SLN algorithm. Clinical data were summarized and compared between groups. Total hospital charges incurred on the day of surgery were extracted from the hospital financial system for each patient and all charges were adjusted to 2017 US dollars.ResultsA total of 203 patients were included: 71 patients in 2012 and 130 patients in 2017. There was no difference in median age, body mass index, or stage. In 2012, 35/71 patients (49.3%) underwent a lymphadenectomy. In 2017, SLN mapping was attempted in 120/130 patients (92.3%) and at least one SLN was identified in 110/120 (91.7%). Median estimated blood loss was similar between groups (100 mL vs 75 mL, p=0.081). There was a significant decrease in both median operative time (210 vs 171 min, p=0.007) and utilization of intraoperative frozen section (63.4% vs 14.6%, p<0.0001). No significant differences were noted in intraoperative (p=1.00) or 30 day postoperative complication rates (p=0.30). The median total hospital charges decreased by 2.73% in 2017 as compared with 2012 (p=0.96).DiscussionImplementation of an SLN mapping algorithm for high- and low-risk endometrial cancer resulted in a decrease in both operative time and intraoperative frozen section utilization with no change in surgical morbidity. While hospital charges did not significantly change, further studies are warranted to assess the true cost of SLN mapping.
Objective. To determine correlation between race and receipt of optimal treatment for ovarian cancer and the impact of this on overall survival. Methods. Using SEER-linked Medicare database, women 66 and older diagnosed with advanced ovarian cancer between 2002 and 2011 were identified. Patients with unclear histology, diagnosed on autopsy and without Medicare Parts A and B were excluded. We used Chi-square test for categorical variables, F test for continuous variables, and multivariable logistic regression to identify characteristics associated with receipt of surgery and chemotherapy. Kaplan–Meier analysis was used to compare overall survival rates. Cox Proportional Hazards regression was performed to identify factors associated with 5-year survival. Results. 9016 ovarian cancer patients were included. 2638 had primary chemotherapy, 4854 had primary surgery, and 1524 had no treatment. 7653 (84.9%) were white, 572 (6.3%) black, 479 (5.3%) Hispanic, and 312 (3.5%) were of other race/ethnicity. More white patients (57.2%) received both chemotherapy and surgery compared to black (39.9%), Hispanic (48.9%), or other (54.2%) (p < .001). Receipt of either only surgery or chemotherapy, or receipt of neither, resulted in higher risk of death when compared to receipt of both. On multivariable analysis, black (OR 0.58 [0.46–0.73]) and Hispanic (0.69 [0.54–0.88]) patients were less likely to receive both chemotherapy and surgery. Being of black race was significantly correlated with worse overall survival [HR 1.13 (1.03–1.23); p = .02]. Conclusions. Non-white women are less likely to receive the standard of care treatment for ovarian cancer and more likely to die from their disease than white women.
BACKGROUND: Enhanced recovery programs have been associated with improved outcomes after gynecologic surgery. There are limited data on the effect of enhanced recovery programs on healthcare costs or healthcare service use. OBJECTIVE: The purpose of this study was to evaluate differences in hospital charges for women who undergo surgery for a suspected gynecologic cancer that is managed in an enhanced recovery program as compared with conventional perioperative care. STUDY DESIGN: We performed a retrospective cohort study of women who underwent open abdominal surgery for a suspected gynecologic cancer before and after the implementation of an enhanced recovery after surgery program. Consecutive patients from May to October 2014 and from November 2014 to November 2015 comprised the conventional perioperative care (before enhanced recovery after surgery) and enhanced recovery after surgery cohorts, respectively. Patients were excluded if they underwent surgery with a multidisciplinary surgical team or minimally invasive surgery. All technical and professional charges were ascertained for all healthcare services from the day of surgery until postoperative day 30. Charges for adjuvant treatment were excluded. Charges were classified according to the type of clinical service provided. The primary outcome was the difference in total hospital charges between the preeenhanced recovery after surgery and the enhanced recovery after surgery groups. Secondary outcomes were between group differences in hospital charges within clinical service categories. RESULTS: A total of 271 patients were included in the analysis (58 patients in the preeenhanced recovery after surgery and 213 patients in the enhanced recovery after surgery cohort). A total of 70,177 technical charges and 6775 professional charges were identified and classified. The median hospital charge for a patient decreased 15.6% in the enhanced recovery after surgery group compared with the preeenhanced recovery after surgery group (95% confidence interval, 5e24.5%; P¼.008). Patients in the enhanced recovery after surgery group also had lower charges for laboratory services (20% lower; 95% confidence interval, 0-39%; P¼.04), pharmacy services (30% lower; 95% confidence interval, 14-41%; P<.001), room and board (25% lower; 95% confidence interval, 20-47%; P¼.005), and material goods (64% lower; 95% confidence interval, 44-81%; P<.001). No differences in charges were observed for perioperative services, diagnostic procedures, emergency department care, transfusion-related services, interventional radiology procedures, physical/occupational therapy, outpatient care, or other services. CONCLUSION: Hospital charges and healthcare service use were lower for enhanced recovery patients compared with patients who received conventional perioperative care after open surgery for a suspected gynecologic cancer. Enhanced recovery programs may be considered to be high value in healthcare because they provide improved outcomes while lowering resource use.
ObjectivesTo determine if linear measurements of adiposity from pre-operative imaging can improve anticipation of surgical difficulty among endometrial cancer patients.MethodsEighty patients with newly diagnosed endometrial cancer were enrolled. Routine pre-operative imaging (MRI or CT) was performed. Radiologic linear measurements of the following were obtained: anterior-to-posterior skin distance; anterior skin to anterior edge of L5 distance (total anterior); anterior peritoneum to anterior edge of L5 distance (visceral obesity); and posterior edge of L5 to posterior skin distance (total posterior). Surgeons completed questionnaires quantifying preoperative anticipated operative difficulty and postoperative reported operative difficulty. The primary objective was to assess for a correlation between linear measurements of visceral fat and reported operative difficulty.ResultsSeventy-nine patients had questionnaires completed, preoperative imaging obtained, and surgery performed. Univariate analysis showed all four linear measurements, body mass index, weight, and anticipated operative difficulty were associated with increased reported operative difficulty (P< 0.05). Multivariate analysis demonstrated that body mass index and linear measurements visceral obesity and total posterior were independently associated with increased reported operative difficulty (P< 0.05). Compared with body mass index, the visceral obesity measurement was more sensitive and specific for predicting increased reported operative difficulty (visceral obesity; sensitivity 54%, specificity 91 %; body mass index; sensitivity 38%, specificity 89%). A difficulty risk model combining body mass index, visceral obesity, and total posterior demonstrated better predictive performance than any individual preoperative variable.ConclusionsSimple linear measurements of visceral fat obtained from preoperative imaging are more predictive than body mass index alone in anticipating surgeon-reported operative difficulty. These easily obtained measurements may assist in preoperative decision making in this challenging patient population.
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