Longitudinal perioperative patient-reported outcomes in open compared with minimally invasive hysterectomy.

BACKGROUND: There are few prospective studies in the gynecologic surgical literature that compared patient-reported outcomes between open and minimally invasive hysterectomies within enhanced recovery after surgery pathways. OBJECTIVE: This study aimed to compare prospectively collected perioperative patient-reported symptom burden and interference measures in open compared with minimally invasive hysterectomy cohorts within enhanced recovery after surgery pathways. STUDY DESIGN: We compared patient-reported symptom burden and functional interference in 646 patients who underwent a hysterectomy (254 underwent open surgery and 392 underwent minimally invasive surgery) for benign and malignant indications under enhanced recovery after surgery protocols. Outcomes were prospectively measured using the validated MD Anderson Symptom Inventory, which was administered perioperatively up to 8 weeks after surgery. Cohorts were compared using Fisher exact and chi-squared tests, adjusted longitudinal generalized linear mixed modeling, and Kaplan Meier curves to model return to no or mild symptoms. RESULTS: The open cohort had significantly worse preoperative physical functional interference (P=.001). At the time of hospital discharge postoperatively, the open cohort reported significantly higher mean symptom severity scores and more moderate or severe scores for overall (P<.001) and abdominal pain (P<.001), fatigue (P=.001), lack of appetite (P<.001), bloating (P=.041), and constipation (P<.001) when compared with the minimally invasive cohort. The open cohort also had significantly higher interference in physical functioning (score 5.0 vs 2.7; P<.001) than the minimally invasive cohort at the time of discharge with no differences in affective interference between the 2 groups. In mixed modeling analysis of the first 7 postoperative days, both cohorts reported improved symptom burden and functional interference over time with generally slower recovery in the open cohort. From 1 to 8 postoperative weeks, the open cohort had worse mean scores for all evaluated symptoms and interference measures except for pain with urination, although scores indicated mild symptomatic burden and interference in both cohorts. The time to return to no or mild symptoms was significantly longer in the open cohort for overall pain (14 vs 4 days; P<.001), fatigue (8 vs 4 days; P<.001), disturbed sleep (2 vs 2 days; P<.001), and appetite (1.5 vs 1 days; P<.001) but was significantly longer in the minimally invasive cohort for abdominal pain (42 vs 28 days; P<.001) and bloating (42 vs 8 days; P<.001). The median time to return to no or mild functional interference was longer in the open than in the minimally invasive hysterectomy cohort for physical functioning (36 vs 32 days; P<.001) with no difference in compositive affective functioning (5 vs 5 days; P=.07) between the groups. CONCLUSION: Open hysterectomy was associated with increased symptom burden in the immediate postoperative period and longer time to return to no or mild symptom burden and interference with physical functioning. However, all patient-reported measures improved within days to weeks of both open and minimally invasive surgery and differences were not always clinically significant.

Real-world use of immune checkpoint inhibitors in advanced or recurrent endometrial cancer.

OBJECTIVE: The aim of this study was to describe real-world use of immune checkpoint inhibitors for women with advanced or recurrent endometrial cancer. METHODS: Adult women with advanced or recurrent endometrial cancer who received at least one line of systemic treatment between January 1, 2014 and November 1, 2020, then followed to May 31, 2021 in a nationwide electronic health record-derived de-identified database. Chi-Squared test or Welch's 2-sample t-tests were used to compare patient and clinical factors associated with immune checkpoint inhibitor treatment. Time to next treatment analyses were performed based on the treatment line of the immune checkpoint inhibitor. Sankey plots depicted patient-level temporal systemic treatment. RESULTS: During our study period, 326 women received their first immune checkpoint inhibitor treatment, increasing from 12 patients in 2016 to 148 in 2020. Factors associated with ever receiving immune checkpoint inhibitors included disease stage (p=0.002), mismatch repair (MMR)/microsatellite instability (MSI) status (p<0.001), performance status (p=0.001), and prior radiation receipt (p<0.001) and modality (p=0.003). The most common immune checkpoint inhibitor regimen was pembrolizumab (47.9%) followed by pembrolizumab and lenvatinib (34.7%). Immune checkpoint inhibitors were given as first, second, and third or greater lines of therapy in 24.5%, 41.7%, and 46.1% of evaluable patients. The median time to next treatment was significantly longer if given as an earlier line of treatment (p=0.008). There were significant differences in treatment line of immune checkpoint inhibitor by region (p=0.004), stage (p<0.001), and prior radiation receipt (p=0.014) and modality (p=0.009). Among 326 patients who received immune checkpoint inhibitors, 114 (34.9%) received subsequent treatment including chemotherapy (43.9%), additional immune checkpoint inhibitors (29.8%), and other (26.3%) with no differences in demographic or clinical characteristics based on the type of post-immune checkpoint inhibitor treatment. CONCLUSION: In an observational retrospective real-world database study, immune checkpoint inhibitors were used in 14.7% of patients with advanced or recurrent endometrial cancer across multiple lines of treatment, including after initial immune checkpoint inhibitor treatment.

Medicaid Expansion and Postoperative Mortality in Women with Gynecologic Cancer: A Difference-in-Difference Analysis.

BACKGROUND: The association between Medicaid expansion and postoperative mortality after surgery for gynecologic cancer is unknown. Our objective was to compare 30- and 90-day postoperative mortality after gynecologic cancer surgery before and after 2014 in states that did and did not expand Medicaid. METHODS: We searched the National Cancer Database for women aged 40-64 years old between 2010 and 2016 who underwent surgery for a primary gynecologic malignancy. We used pre/post and quasi-experimental difference-in-difference (DID) multivariable logistic regressions to evaluate mortality pre-2014 (2010-2013) and post-2014 (2014-2016) for states that did and did not expand Medicaid in January 2014. We completed univariable logistic regressions for covariates of interest. RESULTS: Among 169,731 women, 30-day postoperative mortality in expansion states after 2014 significantly decreased for endometrial cancer (odds ratio [OR] 0.42, 95% confidence interval [CI] 0.26-0.67) and ovarian cancer (OR 0.67, 95% CI 0.46-0.99) and increased for cervical cancer (OR 3.82, 95% CI 1.12-13.01). Compared with non-expansion states, expansion states had improved 30-day postoperative mortality for endometrial cancer after 2014 (DID OR 0.54, 95% CI 0.31-0.96). Univariable analysis demonstrated improved 30-day postoperative mortality for Black women with endometrial cancer in expansion states (DID OR 0.22, 95% CI 0.05-0.95). There was improved 90-day postoperative mortality for endometrial cancer in expansion states (OR 0.66, 95% CI 0.50-0.85), and improved 90-day postoperative mortality for Midwestern women with ovarian cancer in expansion states on univariable analysis (DID OR 0.48, 95% CI 0.26-0.91). CONCLUSIONS: State Medicaid legislation was associated with improved postoperative survival in women with endometrial cancer and subgroups of women with endometrial and ovarian cancer.

Evaluation of a tiered opioid prescription algorithm in an ERAS pathway: exploring opportunities for further refinement.

BACKGROUND: Opioid over-prescription is wasteful and contributes to the opioid crisis. We implemented a personalized tiered discharge opioid protocol and education on opioid disposal to minimize over-prescription. OBJECTIVE: To evaluate the intervention by investigating opioid use post-discharge for women undergoing abdomino-pelvic surgery, and patient adherence to opioid disposal education. METHODS: We analyzed post-discharge opioid consumption among 558 patients. Eligible patients included those who underwent elective gynecologic surgery, were not taking scheduled opioids pre-operatively, and received discharge opioids according to a tiered prescribing algorithm. A survey assessing discharge opioid consumption and disposal safety knowledge was distributed on post-discharge day 21. Over-prescription was defined as >20% of the original prescription left over. Descriptive statistics were used for analysis. RESULTS: The survey response rate was 61% and 59% in the minimally invasive surgery and open surgery cohorts, respectively. Overall, 42.8% of patients reported using no opioids after hospital discharge, 45.2% in the minimally invasive surgery and 38.6% in the open surgery cohort. Furthermore, 74.9% of respondents were over-prescribed, with median age being statistically significant for this group (p=0.004). Finally, 46.4% of respondents expressed no knowledge regarding safe disposal practices, with no statistically significant difference between groups (p>0.99). CONCLUSION: Despite implementation of the tiered discharge opioid algorithm aimed to personalize opioid prescriptions to estimated need, we still over-prescribed opioids. Additionally, despite targeted education, nearly half of all patients who completed the survey did not know how to dispose of their opioid tablets. Additional efforts are needed to further refine the algorithm to reduce over-prescription of opioids and improve disposal education.

Medicaid expansion and 2-year survival in women with gynecologic cancer: a difference-in-difference analysis.

BACKGROUND: The Affordable Care Act implemented optional Medicaid expansion starting in 2014, but the association between Medicaid expansion and gynecologic cancer survival is unknown. OBJECTIVE: To evaluate the impact of Medicaid expansion by comparing 2-year survival among gynecologic cancers before and after 2014 in states that did and did not expand Medicaid using a difference-in-difference analysis. STUDY DESIGN: We searched the National Cancer Database for women aged 40 to 64 years, diagnosed with a primary gynecologic malignancy (endometrial, ovarian, cervical, vulvar, and vaginal) between 2010 and 2016. We used a quasiexperimental difference-in-difference multivariable Cox regression analysis to compare 2-year survival between states that expanded Medicaid in January 2014 and states that did not expand Medicaid as of 2016. We performed univariable subgroup difference-in-difference Cox regression analyses on the basis of stage, income, race, ethnicity, and geographic location. Adjusted linear difference-in-difference regressions evaluated the proportion of uninsured patients on the basis of expansion status after 2014. We evaluated adjusted Kaplan-Meier curves to examine differences on the basis of study period and expansion status. RESULTS: Our sample included 169,731 women, including 78,669 (46.3%) in expansion states and 91,062 (53.7%) in nonexpansion states. There was improved 2-year survival on adjusted difference-in-difference Cox regressions for women with ovarian cancer in expansion than in nonexpansion states after 2014 (hazard ratio, 0.88; 95% confidence interval, 0.82-0.94; P<.001) with no differences in endometrial, cervical, vaginal, vulvar, or combined gynecologic cancer sites on the basis of expansion status. On univariable subgroup difference-in-difference Cox analyses, women with ovarian cancer with stage III-IV disease (P=.008), non-Hispanic ethnicity (P=.042), those in the South (P=.016), and women with vulvar cancer in the Northeast (P=.022), had improved 2-year survival in expansion than in nonexpansion states after 2014. In contrast, women with cervical cancer in the South (P=.018) had worse 2-year survival in expansion than in nonexpansion states after 2014. All cancer sites had lower proportions of uninsured patients in expansion than in nonexpansion states after 2014. CONCLUSION: There was a significant association between Medicaid expansion and improved 2-year survival for women with ovarian cancer in states that expanded Medicaid after 2014. Despite improved insurance coverage, racial, ethnic, and regional survival differences exist between expansion and nonexpansion states.

Temporal trends of healthcare system use between symptomatic presentation and ovarian cancer diagnosis in the United States.

OBJECTIVE: To describe trends in healthcare system use over time between onset of classic ovarian cancer symptoms and ovarian cancer diagnosis in the United States. METHODS: A population-based study of the Surveillance, Epidemiology, and End Results-Medicare database was conducted on patients aged ≥66 years with stage II-IV epithelial ovarian cancer between 1992 and 2015 with at least one of the following diagnosis codes: abdominal pain, bloating, difficulty eating, and/or urinary symptoms. The outcomes were frequency of visit type, frequency of diagnostic modality, and Medicare reimbursement between first symptomatic claim and cancer diagnosis. Jonckheere-Terpstra and Cochran-Armitage tests were used to evaluate trends over time. RESULTS: Among 13 872 women, 13 541 (97.6%) had outpatient, 6466 (46.6%) had inpatient, and 4906 (35.4%) had emergency room visits. The frequency of outpatient (p<0.001) and emergency room visits (p<0.001) increased while the frequency of inpatient visits (p<0.001) decreased between 1992 and 2015. The median number of outpatient visits (p<0.001) and physician specialties seen (p<0.001) increased over time. The median hospital length of stay decreased from 10 days in 1992 to 5 days in 2015 (p<0.001). Between 1992 and 2015, the frequency of ultrasound decreased (p<0.001) while the frequency of computed tomography, magnetic resonance imaging, positron emission tomography imaging, and cancer antigen 125 tumor immunoassay increased (p<0.001). Median monthly total (p<0.001), inpatient (p<0.001), and outpatient (p=0.006) reimbursements decreased while emergency room reimbursements increased (p<0.001) over time. CONCLUSION: Healthcare reimbursement between symptomatic presentation and ovarian cancer diagnosis has decreased over time and may reflect the trends in fewer and shorter hospitalizations and increased use of emergency and outpatient management during the evaluation of symptoms of women with ovarian cancer.

Impact of timing of urinary catheter removal on voiding dysfunction after radical hysterectomy for early cervical cancer.

OBJECTIVES: To evaluate whether the timing of postoperative urinary catheter removal is associated with voiding dysfunction after radical hysterectomy for early cervical cancer within contemporary surgical practice. METHODS: We performed an institutional retrospective cohort study of patients who underwent Piver type II-III open or minimally invasive radical hysterectomy for early-stage cervical cancer (International Federation of Gynecology and Obstetrics (FIGO) 2009 stage IA1 with lymphovascular invasion to stage IIA) between January 2006 and December 2019. We compared voiding dysfunction (inability to spontaneously void with a post-void residual <100 mL after catheter removal) and outcomes based on postoperative timing of urinary catheter removal using univariate and multivariate logistic regressions. RESULTS: Among 234 patients, 86 (36.8%) underwent open surgery and 112 (47.9%) used enhanced recovery after surgery (ERAS) pathways. 29 (12.4%) patients had urinary catheter removal between 1-5 days postoperatively (group 1), 141 (60.3%) between 6-10 days (group 2), and 64 (27.3%) between 11-15 days (group 3). The overall rate of voiding dysfunction was 11.5%, with no difference between group 1 (17.2%), group 2 (11.3%), and group 3 (9.4%) (p=0.54). Group 1 had a significantly shorter time from surgery to spontaneous voiding (4 days, IQR 3-5 days) compared with group 2 (8 days, IQR 7-10 days) and group 3 (13 days, IQR 11-15 days) (p<0.01). There was no difference in hospital length of stay, urinary tract infection, or re-admission due to a genitourinary complication within 60 days of surgery based on timing of catheter removal. On multivariate analysis, the odds of voiding dysfunction did not differ by tumor size, type of hysterectomy, cancer stage, surgical approach, ERAS timeframe, or timing of catheter removal group. CONCLUSION: There was no difference in voiding dysfunction or postoperative genitourinary complications based on timing of urinary catheter removal after radical hysterectomy. Early catheter removal should be considered in this population.

Patient outcomes and adherence to an enhanced recovery pathway for open gynecologic surgery: a 6-year single-center experience.

OBJECTIVES: To evaluate compliance with an Enhanced Recovery After Surgery (ERAS) protocol for open gynecologic surgery at a tertiary center and the relationship between levels of compliance and peri-operative outcomes. METHODS: This retrospective cohort study was conducted between November 2014 and December 2020. Two groups were defined based on compliance level (<80% vs ≥80%). The primary outcome was to analyze overall compliance since implementation of the ERAS protocol. The secondary endpoint was to assess the relationship between compliance and 30-day re-admission, length of stay, re-operation, opioid-free rates, and post-operative complications. We also assessed compliance with each ERAS element over three time periods (P1: 2014-2016, P2: 2017-2018, P3: 2019-2020), categorizing patients according to the date of surgery. Values were compared between P1 and P3. RESULTS: A total of 1879 patients were included. Overall compliance over the period of 6 years was 74% (95% CI 71.9% to 78.2%). Mean overall compliance increased from 69.7% to 75.8% between P1 and P3. Compliance with ERAS ≥80% was associated with lower Clavien-Dindo complication rates (grades III (OR 0.55; 95% CI 0.33 to 0.93) and V (OR 0.08, 95% CI 0.01 to 0.60)), 30-day re-admission rates (OR 0.61; 95% CI 0.43 to 0.88), and length of stay (OR 0.59; 95% CI 0.47 to 0.75). No difference in opioid consumption was seen. Pre-operatively, there was increased adherence to counseling by 50% (p=0.01), optimization by 21% (p=0.02), and carbohydrate loading by 74% (p=0.02). Intra-operatively, compliance with use of short-acting anesthetics increased by 37% (p=0.01) and avoidance of abdominal drainage increased by 7% (p=0.04). Use of goal-directed fluid therapy decreased by 16% (p=0.04). Post-operatively, there was increased compliance with avoiding salt and water overload (8%, p=0.02) and multimodal analgesia (5%, p=0.02). CONCLUSIONS: Over the time period of the study, overall compliance increased from 69.7% to 75.8%. Compliance (≥80%) with ERAS is associated with lower complication rates, fewer 30-day re-admissions, and shorter length of stay without impacting re-operation rates and post-operative opioid use.

Association between time to diagnosis, time to treatment, and ovarian cancer survival in the United States.

OBJECTIVE: Evaluate the association between time to diagnosis and treatment of advanced ovarian cancer with overall and ovarian cancer specific mortality using a retrospective cross sectional study of a population based cancer registry database. METHODS: The Surveillance, Epidemiology, and End Results-Medicare database was searched from 1992 to 2015 for women aged ≥66 years with epithelial ovarian cancer and abdominal/pelvic pain, bloating, difficulty eating, or urinary symptoms within 1 year of cancer diagnosis. Time from presentation to diagnosis and treatment were evaluated as outcomes and covariables. Cox regression models and adjusted Kaplan-Meier curves evaluated 5 year overall and cancer-specific survival. RESULTS: Among 13 872 women, better survival was associated with longer time from presentation to diagnosis (overall survival hazard ratio (HR) 0.95, 95% confidence interval (CI) 0.94 to 0.95; cancer specific survival HR 0.95, 95% CI 0.94 to 0.96) and diagnosis to treatment (overall survival HR 0.94, 95% CI 0.92 to 0.96; cancer specific survival HR 0.93, 95% CI 0.91 to 0.96). There was longer time from presentation to diagnosis in Hispanic women (relative risk (RR) 1.21, 95% CI 1.12 to 1.32) and from diagnosis to treatment in non-Hispanic black women (RR 1.36, 95% CI 1.21 to 1.54), with lower likelihood of survival at 5 years after adjustment for time to diagnosis and treatment among non-Hispanic black women (HR 1.15, 95% CI 1.05 to 1.26) compared with non-Hispanic white women. Gynecologic oncology visit was associated with improved overall (p<0.001) and cancer specific (p<0.001) survival despite a longer time from presentation to treatment (p<0.001). CONCLUSION: Longer time to diagnosis and treatment were associated with improved survival, suggesting that tumor specific features are more important prognostic factors than the time interval of workup and treatment. Significant sociodemographic disparities indicate social determinants of health influencing workup and care. Gynecologic oncologist visits were associated with improved survival, highlighting the importance of appropriate referral for suspected ovarian cancer.

Factors impacting the time to ovarian cancer diagnosis based on classic symptom presentation in the United States.

BACKGROUND: Patients with ovarian cancer often present with late-stage disease and nonspecific symptoms, but little is known about factors affecting the time to diagnosis (TTD) in the United States. METHODS: A retrospective, population-based study of the Surveillance, Epidemiology, and End Results-Medicare database was conducted. It included women 66 years old or older with stage II to IV epithelial ovarian cancer with at least 1 code for abdominal/pelvic pain, bloating, difficulty eating, or urinary symptoms within 1 year of the cancer diagnosis. TTD was defined from the first claim with a prespecified symptom to the ovarian cancer diagnosis. Kruskal-Wallis tests were used to assess for differences in TTD by group medians. Univariate and generalized linear models with a log-link function evaluated TTD by covariables. RESULTS: For the 13,872 women analyzed, the mean and median times to diagnosis were 2.9 and 1.1 months, respectively. The median TTD differed significantly by first symptom (P < .001), number of symptoms (P < .001), and first physician specialty seen (P < .001). In a multivariable analysis, TTD differed significantly according to race/ethnicity (P < .001), geographic region (P = .001), urban-rural location (P = .031), emergency room presentation (P < .001), and number of specialties seen (P < .001). A shorter TTD was associated with a diagnosis in 2006-2010 (relative risk [RR], 0.92; 95% confidence interval [CI], 0.87-0.98) or 2011-2015 (RR, 0.87; 95% CI, 0.81-0.93) in comparison with 1992-1999. CONCLUSIONS: The time from a symptomatic presentation to care to a diagnosis of ovarian cancer is influenced by clinical and demographic variables. This study's findings reinforce the importance of educating all physicians on ovarian cancer symptoms to aid in diagnosis. LAY SUMMARY: Ovarian cancer is often diagnosed once disease has spread because the classic symptoms of ovarian cancer-abdominal or pelvic pain, bloating, difficulty eating, and urinary issues-can be mistaken for other problems. This study examined the time between when women with classic ovarian cancer symptoms went to a physician and when they received a cancer diagnosis in a large database population. The authors found that the time to diagnosis differed according to the type and number of symptoms and what type of physician a woman saw as well as factors such as race, geographic location, and year of diagnosis.

Incidence of acute kidney injury after open gynecologic surgery in an enhanced recovery after surgery pathway.

OBJECTIVE: To determine the incidence of postoperative AKI after open gynecologic surgery within ERAS, compare AKI in pre-ERAS and ERAS cohorts, and identify factors associated with AKI. METHODS: We compared postoperative AKI in patients who underwent open gynecologic surgery at one institution before and after ERAS implementation. AKI was defined as acute risk, injury, or failure by RIFLE criteria. Pre-ERAS and ERAS cohorts were matched using propensity score analysis in a 1:1 fashion using the nearest neighbor technique. Chi-squared, Fisher's Exact, and Wilcoxon rank-sum tests were used. RESULTS: Among 1334 ERAS and 191 pre-ERAS patients, postoperative AKI incidence was higher in the ERAS cohort (13.1% vs 5.8%, p = .004). In 166 matched pairs, ERAS patients had higher incidence (16.9% vs 5.4%, p < .001) and odds (OR 3.54, 95% CI 1.61-7.76) of AKI. Within ERAS, AKI was associated with older age (median age 65 vs 57, p < .001), Charlson Comorbidity Index score ≥ 3 (71.4% vs 57.9%, p < .001), and higher intraoperative estimated blood loss (400 vs 225 mL, p < .001), fluid administration (net fluid balance +1535 vs 1261 mL, p < .001), and hypotension lasting >5 min (41.7% vs 30.7%, p < .001). ERAS patients with AKI had longer hospital stays (median 4 vs 3 days, p < .001) and more readmissions (19% vs. 10%, p < .001) and grade 3+ complications (26% vs. 7%, p < .001). CONCLUSIONS: The incidence and odds of postoperative AKI was higher after gynecologic surgery within ERAS, and patients with AKI were more likely to have complications. Potential strategies to prevent postoperative AKI include perioperative fluid and blood pressure optimization.

Impact of a tiered discharge opioid algorithm on prescriptions and patient-reported outcomes after open gynecologic surgery.

OBJECTIVE: To compare discharge opioid refills, prescribed morphine equivalent dose and quantity, and longitudinal patient-reported outcomes before and after implementation of a tiered opioid prescribing algorithm among women undergoing open gynecologic surgery within an enhanced recovery after surgery program. METHODS: We compared opioid prescriptions, clinical outcomes, and patient-reported outcomes among 273 women. Post-discharge symptom burden was collected up to 42 days after discharge using the validated 27-item MD Anderson Symptom Inventory and analyzed using linear mixed effects models and Kaplan-Meier curves for symptom recovery. RESULTS: Among 113 pre-implementation and 160 post-implementation patients there was no difference in opioid refills (9.7% vs 11.3%, p=0.84). The post-implementation cohort had a significant reduction in median morphine equivalent dose (112.5 mg vs 225 mg, p<0.01), with no difference in median hospital length of stay (3 days vs 3 days, p=1.0) or 30-day readmission rate (9.4% vs 7.1%, p=0.66). There was no difference in patient-reported pain between the pre- and post-implementation cohorts on the day of discharge (severity 4.93 vs 5.14, p=0.53) or in any patient-reported symptoms, interference measures, or composite scores by post-discharge day 7. The median recovery time for most symptoms was 7 days, except for pain (14 days), fatigue (18 days), and physical interference (21 days), with no differences between cohorts. CONCLUSIONS: After implementation of a tiered opioid prescribing algorithm, the quantity and dose of discharge opioids prescribed decreased with no change in post-operative refills and without negatively impacting patient-reported symptom burden or interference, which can be used to educate and reassure patients and providers.

Continuous epidural infusion in gynecologic oncology patients undergoing exploratory laparotomy: The new standard for decreased postoperative pain and opioid use.

OBJECTIVE: To compare the incidence of postoperative complications and opioid pain medication usage in gynecologic oncology patients who did and did not receive an epidural prior to undergoing exploratory laparotomy. METHODS: Retrospective cohort study of all patients undergoing exploratory laparotomy with the gynecologic oncology division at Washington University in St Louis between January 2012 and October 2015. Data on demographics, pathology, postoperative pain and opioid use, and incidence of postoperative complications were collected. RESULTS: Five hundred and sixty-one patients underwent laparotomy, 305 with an epidural and 256 without. Patients with an epidural used significantly less hydromorphone in the post-anesthesia care unit (PACU) (p = 0.003) and on postoperative day (POD)#1 (p = 0.05), less total opioids on POD#0 (p < 0.01), and more non-opioid pain medication on POD#1-3 (p < 0.01). Patients with an epidural had lower pain scores in the PACU (p = 0.01), on POD#0 (p < 0.01), POD#1 (p < 0.01), and POD#3 (p = 0.03). Patients with epidurals had shorter hospital length of stay (p < 0.01), no difference in hospital readmission or incidence of venous thromboembolism up to 90 days postoperatively, longer duration of Foley catheter (20.4 vs 10.3 h, p = 0.02) with no difference in postoperative urinary tract infection, higher incidence of postoperative hypotension (63% vs 36.3%, p < 0.01), and lower incidence of wound complications (5% vs 14.1%, p < 0.01). CONCLUSIONS: Perioperative epidurals used in patients undergoing major abdominal surgery correlate with decreased postoperative opioid use, increased use of non-opioid pain medications, and improved pain relief postoperatively with acceptable postoperative risks and should be standard of care for these patients.

The use of novel technology-based weight loss interventions for obese women with endometrial hyperplasia and cancer.

OBJECTIVE: Obesity significantly increases the risk of the development of both endometrial hyperplasia and cancer. Our objective was to assess the feasibility of two technology-based weight loss interventions in this patient population. METHODS: Women with obesity (BMI≥30kg/m(2)) and endometrial hyperplasia or Type I endometrial cancer were randomized 1:1 to a technology-based 6month lifestyle intervention via either telemedicine or text messaging. The telemedicine arm received weekly phone calls, with weights tracked online using Withings© Wi-Fi scales. The text arm received 3-5 personalized messages daily via Text4Diet™. Participants maintained a 1200-1800calorie/day diet, self-monitored food intake and received exercise goals. Biomarkers (IGFBP-1, adiponectin, VEGF, IL1-beta, IL2, IL6, and IL7) were assessed pre- and post-treatment. RESULTS: Twenty women were randomized (Telemedicine: n=10, Text4Diet: n=10), and 90% lost weight. Many were early stage (70%) and grade (43.8%) disease with a median age of 60.5years. We observed a statistically greater weight loss in the Telemedicine arm [median loss: 9.7kg (range: 1.6-22.9kg)] versus 3.9kg (range: 0.3-11.4kg) in the Text4Diet arm (p=0.0231). Similarly, percent weight loss was greater in the Telemedicine (7.6%) as compared to the Text4Diet arm (4.1%, p=0.014). Mean serum levels of IL-2 were significantly (27.15pg/mL vs. 5.18pg/mL, p=0.0495) lower at intervention end as compared to baseline. CONCLUSIONS: A technology-based weight loss intervention is feasible in women with Type I endometrial cancer/hyperplasia. Both interventions produced weight loss, although more person-to-person contact produced more significant outcomes. Reductions in expression of IL-2 were related to weight loss.

Juvenile granulosa cell tumor in a transgender male with Ollier disease: A case report.

•Multiple case reports are published on patients with Ollier's disease presenting simultaneously with granulosa cell tumors.•More medical conditions are being treated with androgens and estrogens, including gender dysphoria.•Caution should be given to transgender patients on active hormonal therapy.•Providers should consider prescreening for hormonally responsive medical conditions.

Comorbidity network analysis using graphical models for electronic health records.

Importance: The comorbidity network represents multiple diseases and their relationships in a graph. Understanding comorbidity networks among critical care unit (CCU) patients can help doctors diagnose patients faster, minimize missed diagnoses, and potentially decrease morbidity and mortality. Objective: The main objective of this study was to identify the comorbidity network among CCU patients using a novel application of a machine learning method (graphical modeling method). The second objective was to compare the machine learning method with a traditional pairwise method in simulation. Method: This cross-sectional study used CCU patients' data from Medical Information Mart for the Intensive Care-3 (MIMIC-3) dataset, an electronic health record (EHR) of patients with CCU hospitalizations within Beth Israel Deaconess Hospital from 2001 to 2012. A machine learning method (graphical modeling method) was applied to identify the comorbidity network of 654 diagnosis categories among 46,511 patients. Results: Out of the 654 diagnosis categories, the graphical modeling method identified a comorbidity network of 2,806 associations in 510 diagnosis categories. Two medical professionals reviewed the comorbidity network and confirmed that the associations were consistent with current medical understanding. Moreover, the strongest association in our network was between "poisoning by psychotropic agents" and "accidental poisoning by tranquilizers" (logOR 8.16), and the most connected diagnosis was "disorders of fluid, electrolyte, and acid-base balance" (63 associated diagnosis categories). Our method outperformed traditional pairwise comorbidity network methods in simulation studies. Some strongest associations between diagnosis categories were also identified, for example, "diagnoses of mitral and aortic valve" and "other rheumatic heart disease" (logOR: 5.15). Furthermore, our method identified diagnosis categories that were connected with most other diagnosis categories, for example, "disorders of fluid, electrolyte, and acid-base balance" was associated with 63 other diagnosis categories. Additionally, using a data-driven approach, our method partitioned the diagnosis categories into 14 modularity classes. Conclusion and relevance: Our graphical modeling method inferred a logical comorbidity network whose associations were consistent with current medical understanding and outperformed traditional network methods in simulation. Our comorbidity network method can potentially assist CCU doctors in diagnosing patients faster and minimizing missed diagnoses.

Incidence of acute kidney injury after noncardiac surgery in patients receiving intraoperative dexmedetomidine: a retrospective study.

Background: Postoperative acute kidney injury (AKI) is a common complication and is associated with increased hospital length of stay and 30 day all-cause mortality. Unfortunately, we have neither a defined strategy to prevent AKI nor an effective treatment. In vitro, animal, and human studies have suggested that dexmedetomidine may have a renoprotective effect. We conducted a retrospective cohort study to evaluate if intraoperative dexmedetomidine was associated with a reduced incidence of AKI. Methods: We collected data from 6625 patients who underwent major non-cardiothoracic cancer surgery. Before and after propensity score matching, we compared the incidence of postoperative AKI in patients who received intraoperative dexmedetomidine and those who did not. AKI was defined according to the Kidney Disease Improving Global Outcomes (creatinine alone values) criteria and calculated for postoperative Days 1, 2, and 3. Results: Twenty per cent (n=1301) of the patients received dexmedetomidine. The mean [standard deviation] administered dose was 78 [49.4] mcg. Patients treated with dexmedetomidine were matched to those who did not receive the drug. Patients receiving dexmedetomidine had a longer anaesthesia duration than the non-dexmedetomidine group. The incidence of AKI was not significantly different between the groups (dexmedetomidine 8% vs no dexmedetomidine 7%; P=0.333). The 30 day rates of infection, cardiovascular complications, or reoperation attributable to bleeding were higher in patients treated with dexmedetomidine. The 30 day mortality rate was not statistically different between the groups. Conclusions: The administration of dexmedetomidine during major non-cardiothoracic cancer surgery is not associated with a reduction in AKI within 72 h after surgery.

A prospective cross-sectional survey comparing patient and provider expectations regarding ovarian cancer prognosis.

Introduction: There is limited data comparing patient and physician expectations regarding ovarian cancer prognosis. Our primary objective was to compare physician and patient estimates of survival to 6 months, 1 year, and 5 years; secondary objectives included comparing provider and patient responses on the likelihood of requiring future treatments and categorizing patient and provider preferences regarding communication about prognosis. Methods: A prospective cross-sectional survey was delivered to 10 gynecologic oncology providers and 50 adult ovarian cancer patients from November 2015-April 2016 at one institution. Descriptive statistics were used to categorize survey answers and compare survey answers between patients and providers; multivariable logistic regression evaluated patient survey responses. Results: All providers (100%) believed treating providers should discuss prognosis and 90% reported having prognostic conversations with patients, compared to 63%, 37%, and 4% of patients who reported discussing prognosis, living wills/advance directives, and palliative care/hospice services, respectively, with their provider. Compared to their provider, patients gave significantly lower estimations of requiring any future therapy (mean score 84.6 vs 74, p <.001) and future chemotherapy (mean score 84.1 vs 69.8, p <.001) and significantly higher estimations of requiring future surgery (mean score 23.3 vs 40, p <.001), achieving remission (mean score 33.5 vs 47.5, p =.009), survival to 1 year (mean score 77.1 vs 86.4, p =.002), and survival to 5 years (mean score 40.5 vs 61.3, p <.001). Conclusions: Although gynecologic oncology providers believe it is important to discuss prognosis and end-of-life care, there are gaps in communication, knowledge, and expectations between providers and ovarian cancer patients.