Dataset Information

Determining Optimal Route of Hysterectomy for Benign Indications: Clinical Decision Tree Algorithm.

ABSTRACT: To evaluate practice change after initiation of a robotic surgery program using a clinical algorithm to determine the optimal surgical approach to benign hysterectomy.A retrospective postrobot cohort of benign hysterectomies (2009-2013) was identified and the expected surgical route was determined from an algorithm using vaginal access and uterine size as decision tree branches. We excluded the laparoscopic hysterectomy route. A prerobot cohort (2004-2005) was used to evaluate a practice change after the addition of robotic technology (2007). Costs were estimated.Cohorts were similar in regard to uterine size, vaginal parity, and prior laparotomy history. In the prerobot cohort (n=473), 320 hysterectomies (67.7%) were performed vaginally and 153 (32.3%) through laparotomy with 15.1% (46/305) performed abdominally when the algorithm specified vaginal hysterectomy. In the postrobot cohort (n=1,198), 672 hysterectomies (56.1%) were vaginal; 390 (32.6%) robot-assisted; and 136 (11.4%) abdominal. Of 743 procedures, 38 (5.1%) involved laparotomy and 154 (20.7%) involved robotic technique when a vaginal approach was expected. Robotic hysterectomies had longer operations (141 compared with 59 minutes, P<.001) and higher rates of surgical site infection (4.7% compared with 0.2%, P<.001) and urinary tract infection (8.1% compared with 4.1%, P=.05) but no difference in major complications (P=.27) or readmissions (P=.27) compared with vaginal hysterectomy. Algorithm conformance would have saved an estimated $800,000 in hospital costs over 5 years.When a decision tree algorithm indicated vaginal hysterectomy as the route of choice, vaginal hysterectomy was associated with shorter operative times, lower infection rate, and lower cost. Vaginal hysterectomy should be the route of choice when feasible.

SUBMITTER: Schmitt JJ

PROVIDER: S-EPMC5217714 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Determining Optimal Route of Hysterectomy for Benign Indications: Clinical Decision Tree Algorithm.

Schmitt Jennifer J JJ Carranza Leon Daniel A DA Occhino John A JA Weaver Amy L AL Dowdy Sean C SC Bakkum-Gamez Jamie N JN Pasupathy Kalyan S KS Gebhart John B JB

Obstetrics and gynecology 20170101 1

<h4>Objective</h4>To evaluate practice change after initiation of a robotic surgery program using a clinical algorithm to determine the optimal surgical approach to benign hysterectomy.<h4>Methods</h4>A retrospective postrobot cohort of benign hysterectomies (2009-2013) was identified and the expected surgical route was determined from an algorithm using vaginal access and uterine size as decision tree branches. We excluded the laparoscopic hysterectomy route. A prerobot cohort (2004-2005) was u ...[more]

PMID: 27926638

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Project description:The past decade has witnessed adoption of conservative gynecologic treatments, including minimally invasive surgery (MIS), alongside steady declines in inpatient hysterectomies. It remains unclear what factors have contributed to trends in outpatient benign hysterectomy (BH), as well as whether these trends exacerbate disparities.Retrospective cohort of 527,964 women ?18 years old who underwent BH from 2008 to 2014. BH surgical approaches included: open/abdominal hysterectomy (AH), vaginal hysterectomy (VH), laparoscopic hysterectomy (LH), and robotic-assisted hysterectomy (RH). Quarterly frequencies were calculated by care setting and surgical approach. We used multilevel logistic regression (MLR) using the most recent year of data (2014) to examine the influence of patient-, physician-, and hospital-level preoperative factors and surgical approaches on outpatient migration.From 2008-2014, surgical approaches for LH and RH increased, which coincided with decreases in VH and AH. Overall, a 44.2% shift was observed from inpatient to outpatient settings (P<0.0001). Among all outpatient visits MIS increased, particularly for RH (3.6% to 41.07%). We observed increases in the proportion of non-Hispanic Black and Medicaid patients who obtained MIS in 2014 vs. 2008 (P<0.001). Surgical approach (51.8%) and physician outpatient MIS experience (19.9%) had the greatest influence on predicting outpatient BH. Compared with LH, RH was associated with statistically significantly higher likelihood of outpatient BH overall (OR 1.23; 95% CI, 1.16-1.31), as well as in sub-analyses of more complex cases and hospitals that performed ?1 RH (P<0.05).From 2008-2014, rates of LH and RH significantly increased. A significant shift from inpatient to outpatient setting was observed. These findings suggest that RH may facilitate the shift to outpatient BH, particularly for patients with complexities. The adoption of MIS in outpatient settings may improve access to disadvantaged patient groups.

Project description:BACKGROUND:Minimally invasive hysterectomy may require the use of morcellation to remove the uterus. In the presence of unexpected sarcoma, morcellation risks disseminating malignant cells and worsening survival outcomes. As a consequence, in 2014 the US Food and Drug Administration issued a black box warning against the use of power morcellator for the treatment of uterine fibroids. However, the proportion of unexpected sarcoma at the time of hysterectomy for presumed benign indication remains unclear. OBJECTIVE:The objective of the study was to estimate the incidence of sarcoma among women undergoing hysterectomy for benign indication in Olmsted County, MN, between 1999 and 2013. STUDY DESIGN:We conducted a population-based study including all hysterectomies performed for benign indication in Olmsted County women between Jan. 1, 1999, and Dec. 31, 2013. Cases were identified using the medical records-linkage system of the Rochester Epidemiology Project, and data were abstracted by a gynecologist who reviewed the complete medical records of each woman who underwent hysterectomy. An expert pathologist reviewed the pathologic slides of each sarcoma to ensure the accuracy of the diagnosis. Incidences of sarcoma (overall and by type of sarcoma) were estimated both overall and stratified by menopausal status, indication for surgery, and uterine weight as a rate per 100 persons. RESULTS:A total of 4232 hysterectomies were performed during the study period. Among them, we identified 16 sarcomas, of which 11 (69%) were suspected preoperatively and 5 (31%) were unexpected. Of the total number of hysterectomies, 3759 (88.8%) were performed for benign indication. Among those, the incidence of unexpected sarcoma was 0.13% (5 per 3759 [95% confidence interval, 0.04-0.31%]). Uterine fibroids comprised 27.3% of all hysterectomies for benign indication (n = 1025) and was the indication most commonly associated with diagnosis of unexpected sarcoma. The incidence of unexpected sarcoma among surgeries for uterine fibroids was 0.35% (3 of 851) for premenopausal women and 0.57% (1 of 174) for peri/postmenopausal, and all 4 unexpected sarcomas were leiomyosarcoma. The incidence of unexpected sarcoma progressively increased with higher uterine weight with an incidence of 0.03% (1 of 2993) among women with a uterine weight <250 g vs 15.4% (2 of 13) with a uterine weight ?2000 g. CONCLUSION:Unexpected uterine sarcoma was low in all women undergoing hysterectomy for benign indication (0.13% or 1 in 752 surgeries) while it was increased in women with uterine fibroids (0.39% or 1 in 256 surgeries). Peri/postmenopausal women, women with large uteri, and age ?45 years were risk factors for sarcoma.

Project description:OBJECTIVE:To compare the rate of delayed 30-day lower genitourinary tract injury in women who underwent cystoscopy at the time of hysterectomy for benign indications to those who did not. METHODS:This was a retrospective cohort study of patients who underwent hysterectomy without a concomitant procedure for prolapse or incontinence for benign pathology with a general obstetrician-gynecologist (ob-gyn) recorded in the National Surgical Quality Improvement Program targeted hysterectomy file between 2015 and 2017. The primary outcome was a delayed lower genitourinary tract injury in the 30 days after hysterectomy. Secondary outcomes included urinary tract infection and operative time. The exposure of interest was cystoscopy at the time of hysterectomy. Stratified analysis was performed by route of surgery. Bivariable tests were used to examine associations. RESULTS:We identified 39,529 women who underwent hysterectomy for benign indications with a general ob-gyn. Surgical approach was open (26%), laparoscopic or robotic assisted laparoscopic (46%), and vaginal or vaginally assisted (28%). Overall, 25% of women underwent cystoscopy at the time of hysterectomy; cystoscopy was more commonly performed in laparoscopic or robotic (32%) and vaginal hysterectomy (25%) as compared with open hysterectomy (11%) (P<.001). There was no difference in delayed lower genitourinary tract injury between patients who underwent cystoscopy at time of hysterectomy compared with those who did not undergo cystoscopy (0.27% vs 0.24%, P=.64). Patients who underwent cystoscopy were more likely to be diagnosed with a urinary tract infection (2.6% vs 2.0%, RR 1.27 95% CI 1.09-1.47). Median operative time was increased by 17 minutes in cases where cystoscopy was performed (132 vs 115 minutes, P<.001). CONCLUSION:Cystoscopy at the time of hysterectomy for benign indications does not result in a lower rate of 30-day delayed lower genitourinary tract injury compared with no cystoscopy.

Project description:OBJECTIVE:To identify the variation in estimated blood loss at the time of hysterectomy for benign indications and to analyze how blood loss is associated with measures of resource utilization and complications. METHODS:We conducted a retrospective cohort study and analyzed hysterectomy for benign indications at hospitals in the Michigan Surgical Quality Collaborative between January 1, 2013, and May 30, 2015. A sensitivity analysis was performed to identify how estimated blood loss was associated with measures of utilization (transfusion, readmission, reoperation, and length of stay) and postoperative complications. A hierarchical logistic regression model was used to identify patient level factors independently associated with estimated blood loss greater than 400 mL and to calculate a risk- and reliability-adjusted rate for each hospital. RESULTS:There were 18,033 hysterectomies for benign indications from 61 hospitals included for analysis. The median estimated blood loss was 100 mL, and the 90th percentile estimated blood loss was 400 mL. A sensitivity analysis demonstrated increased risks of transfusion, readmission, reoperation, length of stay, and major postoperative complications with estimated blood loss greater than 400 mL. The proportion of hysterectomies at hospitals in the collaborative with estimated blood loss greater than 400 mL ranged from 3.5% to 16.9% after risk and reliability adjustments. The risk factors with the highest adjusted odds for estimated blood loss greater than 400 mL included abdominal surgery compared with laparoscopic hysterectomy (adjusted odds ratio [aOR] 2.8, CI 2.3-3.5), surgical time longer than 3 hours (aOR 3.9, CI 3.3-4.5), and specimen weight greater than 250 g compared with less than 100 g (aOR 4.8, CI 3.9-5.8). Adhesive disease, low surgeon volume, being younger than 40 years of age, having a body mass index greater than 35, and the need for a preoperative transfusion were also statistically significantly associated with estimated blood loss greater than 400 mL. CONCLUSION:There is fivefold variation in the hospital rate of hysterectomies with an estimated blood loss greater than 400 mL (90th percentile)-a threshold associated with significantly higher rates of health care utilization and complications. Avoidance of abdominal hysterectomy when possible may reduce intraoperative blood loss and associated sequelae.

Dataset Information

Determining Optimal Route of Hysterectomy for Benign Indications: Clinical Decision Tree Algorithm.

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Determining Optimal Route of Hysterectomy for Benign Indications: Clinical Decision Tree Algorithm.

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