Assessment of risk factors for 30-day hospital readmission after surgical cytoreduction in epithelial ovarian carcinoma

Beyond post-operative readmissions: analysis of the impact of unplanned readmissions during primary treatment of advanced-stage epithelial ovarian cancer on long-term oncology outcome

BACKGROUND

Multiple studies have assessed post-operative readmissions in advanced ovarian cancer.

OBJECTIVE

To evaluate all unplanned readmissions during the primary treatment period of advanced epithelial ovarian cancer, and the impact of readmission on progression-free survival.

METHODS

This was a single institution retrospective study from January 2008 to October 2018. Χ2/Fisher's exact and t-test, or Kruskal-Wallis test were used. Multivariable Cox proportional hazard models were used to assess the effect of covariates in progression-free survival analysis.

RESULTS

A total of 484 patients (279 primary cytoreductive surgery, 205 neoadjuvant chemotherapy) were analyzed. In total, 272 of 484 (56%; 37% primary cytoreductive surgery, 32% neoadjuvant chemotherapy, p=0.29) patients were readmitted during the primary treatment period. Overall, 42.3% of the readmissions were surgery related, 47.8% were chemotherapy related, and 59.6% were cancer related but not related to surgery or chemotherapy, and each readmission could qualify for more than one reason. Readmitted patients had a higher rate of chronic kidney disease (4.1% vs 1.0%, p=0.038). Post-operative, chemotherapy, and cancer-related readmissions were similar between the two groups. However, the percentage of inpatient treatment days due to unplanned readmission was twice as high for primary cytoreductive surgery at 2.2% vs 1.3% for neoadjuvant chemotherapy (p<0.001). Despite longer readmissions in the primary cytoreductive surgery group, Cox regression analysis demonstrated that readmissions did not affect progression-free survival (HR=1.22, 95% CI 0.98 to 1.51; p=0.08). Primary cytoreductive surgery, higher modified Frailty Index, grade 3 disease, and optimal cytoreduction were associated with longer progression-free survival.

CONCLUSIONS

In this study, 35% of the women with advanced ovarian cancer had at least one unplanned readmission during the entire treatment time. Patients treated by primary cytoreductive surgery spent more days during readmission than those with neoadjuvant chemotherapy. Readmissions did not affect progression-free survival and may not be valuable as a quality metric.

Calculating surgical readmission rates in gynecologic oncology: The impact of patient factors

OBJECTIVE

To determine the 30-day surgical readmission rate after major gynecologic oncology surgeries at a high-volume academic institution and correlated risk factors.

METHODS

Retrospective cohort study was conducted of surgical admissions from January 2016 - December 2019 at a single institution. Data were extracted from patient charts, including reason for readmission and length of stay. A readmission rate was calculated. Nested case control design was used to identify correlations between readmission and patient specific risk-factors. Multivariable logistic regression models were used to determine risk factors with readmission.

RESULTS

A total of 2152 patients were included. The readmission rate was 3.5%, most commonly due to GI disturbance and surgical site infection. Average readmission length was 5 days. Prior to adjusting for covariates, insurance status, primary diagnosis, index admission length, and disposition at discharge differed between patients who were and were not readmitted. After adjusting for co-variates, younger patients, index admission >2 days, and higher Charlson co-morbidity index were associated with readmission.

CONCLUSIONS

Our surgical readmission rate was lower than previously reported rates in gynecologic oncology patients. Patient factors associated with readmission included younger age, longer index hospital admission, and higher medical co-morbidity index scores. Provider factors and institutional practice patterns could contribute to the decreased readmission rate. These findings underscore the importance of standardizing how we calculate readmission rate and interpret these data. Varying readmission rates and institutional practice patterns deserve closer scrutiny to inform best practice and future policies.

Ovarian Carcinosarcoma with Retroperitoneal Para-Aortic Lymph Node Dissemination Followed by an Unusual Postoperative Complication: A Case Report with a Brief Literature Review

Introduction. Ovarian carcinosarcoma (OCS), also known as malignant mixed Müllerian tumour (MMMT), is one of the rarest histological subtypes of ovarian cancer. It is an aggressive tumour with a dismal prognosis-the median survival of patients is less than two years. The rarity of the disease generates many controversies about histogenesis, prognostic factors and treatment of OCS. Histologically, OCS is composed of an epithelial and sarcomatous component. Case report. In the present case, a patient with bilateral ovarian cysts and bulky paraaortic lymph nodes is reported. Retroperitoneal paraaortic lymph node metastases were the only extrapelvic dissemination of OCS. The patient underwent comprehensive surgical staging procedures, including total abdominal hysterectomy and bilateral salpingo-oophorectomy, supracolic omentectomy and selective para-aortic lymphadenectomy. Histologically the ovarian carcinosarcoma was composed of an epithelial component (high-grade serous adenocarcinoma) and three sarcomatous components (homologous-endometrial stromal cell sarcoma, and heterologous-chondrosarcoma, rhabdomyosarcoma). Immunohistochemistry staining was performed. A postoperative complication (adhesion between the abdominal aorta and terminal ileum causing obstructive ileus) that has never been reported in the medical literature occurred. Conclusion. Carcinosarcomas are carcinomas with epithelial-mesenchymal transition and heterologous differentiation. Retroperitoneal pelvic and paraaortic lymph nodes should be carefully inspected in patients with ovarian tumours. Adhesions between the small bowels and abdominal aorta are possible complications after lymph node dissection in the paraaortic region.

Unanticipated 30-day readmission following rectosigmoid resection at the time of cytoreductive surgery in patients with advanced stage ovarian cancer

The objective of this study was to examine the rate of and indications for readmission in patients with advanced staged ovarian cancer undergoing rectosigmoid resection and primary anastomosis, an important quality metric. A retrospective review was conducted of patients with primary ovarian cancer who underwent rectosigmoid resection as part of cytoreductive surgery between July 2003 and July 2014. Univariate analysis identified rates and predictors of readmission. Fifty patients were eligible for analysis. The unanticipated 30-day readmission rate was 18% (n = 9). Of those readmitted less than 30 days from date of discharge, 3 were readmitted more than once, making 14 total readmissions. A total of 21 indications for readmission were reported, with the most common being: infection (23.8%, n = 5); thromboembolic events (19%, n = 4); and severe malnutrition (14.3%, n = 3). The median time to readmission was 14 days (range, 2-26). There were no deaths within 30 days of surgery in this cohort.IMPACT STATEMENTWhat is already known about the subject? Unanticipated 30-day readmission rates are reported to be between 12 and 20% among patients undergoing cytoreductive surgery for the management of ovarian cancer. The relative contribution of rectosigmoid resection at the time of cytoreductive surgery to readmission is not well studied.What do the results of this study add? In the examined cohort, the unanticipated 30-day readmission rate following rectosigmoid resection with primary reanastomosis at the time of cytoreductive surgery is 18%, similar to the readmission rate for patients undergoing cytoreductive surgery, in general. While the sample size is limited, the perioperative complications in this cohort appear similar to those of patients undergoing cytoreductive surgery.What are the implications of these findings for clinical practice and/or further research? Efforts to reduce unanticipated 30-day readmission following cytoreductive surgery is warranted. Future studies may benefit from multi-centre approaches and prospective data collection, while simultaneously assessing the impact of enhanced recovery programs. Ultimately, identification of risk factors, and programmatic initiatives to drive down readmission will be important across surgical platforms, and the opportunity exists in patients with advanced stage ovarian cancer.

Preoperative neutrophil-to-lymphocyte ratio predicts 30 day postoperative morbidity and survival after primary surgery for ovarian cancer

OBJECTIVE

The preoperative neutrophil-to-lymphocyte ratio has been found to be an independent prognostic indicator for perioperative complications and survival outcomes in patients undergoing oncologic surgery for several malignancies. The objective of this study was to evaluate the role of the preoperative neutrophil-to-lymphocyte ratio in predicting 30-day postoperative morbidity and overall survival in advanced-stage high-grade serous ovarian cancer patients after primary surgery.

METHODS

A retrospective study was conducted on consecutive patients who underwent primary surgery for high-grade serous ovarian cancer between January 2008 and December 2016 at a single tertiary academic institution in Toronto, Canada. Optimal thresholds for preoperative neutrophil-to-lymphocyte ratio were determined using receiver-operator characteristic curve analysis. Cox-proportional hazard models, Kaplan-Meier, and logistic regression analyses were performed.

RESULTS

Of 505 patients with ovarian cancer during the study period, 199 met the inclusion criteria. Receiver-operator characteristic curve analysis generated optimal preoperative neutrophil-to-lymphocyte ratio thresholds of 2.3 and 2.9 for 30-day postoperative morbidity and survival outcomes, respectively. A neutrophil-to-lymphocyte ratio ≥2.3 was predictive of a composite outcome of 30-day postoperative complications (odds ratio 7.3, 95% confidence interval 2.44 to 21.81; p=0.0004), after adjusting for longer operative time and intraoperative complications. Postoperative complications included superficial surgical site infections (p=0.007) and urinary tract infections (p=0.004). A neutrophil-to-lymphocyte ratio ≥29 was associated with worse 5-year overall survival (57.8% vs 77.7%, p=0.003), and suggested no statistically significant difference in progression-free survival (33.8% vs 40.7%, p=0.054). On multivariable analysis, the neutrophil-to-lymphocyte ratio remained an independent predictor for overall survival (p=0.02) when adjusting for suboptimal cytoreduction (p≤0.0001).

DISCUSSION

A preoperative neutrophil-to-lymphocyte ratio ≥2.3 and ≥2.9 is associated with greater risk of 30-day postoperative morbidity and worse overall survival, respectively. This marker may be used in conjunction with other risk assessment strategies to preoperatively identify high-risk patients. Further prospective study is required to investigate its role in clinical decision-making.

Readmissions after ovarian cancer cytoreduction surgery: The first 30 days and beyond

BACKGROUND AND OBJECTIVES

Postoperative readmissions are often used to assess quality of surgical care. This study compared 30-day vs 31- to 90-day readmission following surgery for ovarian, fallopian tube, or primary peritoneal cancer.

METHODS

This retrospective study of the 2010-2015 Nationwide Readmissions Database characterized 90-day readmissions following cytoreductive surgery for these cancers. Each patient's first postoperative hospitalization was included. Univariate analysis compared patient demographics and reasons for readmission. Multivariable regression identified independent predictors of readmission.

RESULTS

Of an estimated 76 652 patients, 10 264 (13.4%) were readmitted within 30 days, and 6942 (9.1%) between 31 and 90 days. The 30-day readmissions were more frequently associated with postoperative infection, while 31- to 90-day readmissions were more frequently associated with renal or hematologic diagnoses. Predictors of any 90-day readmission included index hospitalization longer than 7 days (adjusted odds ratio (AOR) 1.61 [1.48-1.75], P < .001), extended surgical procedure (AOR 1.41 [1.30-1.53], P < .001), pulmonary circulation disorder (AOR = 1.34 [1.13-1.60], P = .001), and diabetes mellitus (AOR = 1.12 [1.02-1.24], P = .020).

CONCLUSIONS

Readmission rates remain high during the 31- to 90-day postoperative period in ovarian cancer patients, although these readmissions are less frequently related to postoperative complications. Prospective study is merited to optimize surveillance beyond the initial 30 days after ovarian cancer surgery.

Fragmentation of postoperative care after surgical management of ovarian cancer at 30 days and 90 days

BACKGROUND

Fragmentation of care, wherein a patient is discharged from an index hospital and undergoes an unexpected readmission to a nonindex hospital, is associated with increased risk of adverse outcomes. Fragmentation has not been well-characterized in ovarian cancer.

OBJECTIVE

The objective of this study was to assess risk factors and outcomes that are associated with fragmentation of care among women who undergo surgical treatment of ovarian cancer.

STUDY DESIGN

The Nationwide Readmission Database was used to identify all-cause 30-day and 90-day postoperative readmissions after surgical management of ovarian cancer from 2010-2014. Postoperative fragmentation was defined as readmission to a hospital other than the index hospital of the initial surgery. Multivariable regression analyses were used to identify predictors of fragmentation in both 30-day and 90-day readmissions. Similarly, multivariable models were developed to determine the association between fragmentation and death among women who were readmitted.

RESULTS

A total of 10,445 patients (13.3%) were readmitted at 30 days, and 14,124 patients (18.0%) were readmitted at 90 days. Of these, there was a 20.8% and 25.7% rate of postoperative care fragmentation for 30-day and 90-day readmissions, respectively. Patient risk factors that were associated with fragmented postoperative care included Medicare insurance, lower income quartiles, and nonroutine discharge to facility. Hospital factors that were associated with decreased risk of fragmentation included operation at a metropolitan teaching hospital and performance of extended procedures. Cost and length of stay for the readmission were similar among those who had fragmented and nonfragmented readmissions at both 30 and 90 days. Although there was no association between death and fragmentation for patients who were readmitted within 30 days (odds ratio, 1.19; 95% confidence interval, 0.93-1.51), patients who had a fragmented readmission at 90 days were 22% more likely to die than those who were readmitted at 90 days to their index hospital (odds ratio, 1.22; 95% confidence interval, 1.00-1.49).

CONCLUSION

Fragmentation of care is common in women with ovarian cancer who require postoperative readmission. Fragmented postoperative care is associated with an increased risk of death among women who are readmitted within 90 days of surgery.

Predictors of Unplanned Reoperation for Ovarian Cancer Patients From the National Surgical Quality Improvement Program Database

OBJECTIVES

The aim of this study was to determine preoperative risk factors associated with unplanned reoperation within 30 days for patients undergoing major surgery for primary ovarian cancer using the National Surgical Quality Improvement Program database.

METHODS

We conducted a retrospective cohort study utilizing the National Surgical Quality Improvement Program database to identify patients undergoing primary ovarian cancer surgery from 2012 to 2014. Patients who had a reoperation within 30 days of their primary surgery were identified. Demographics and clinical covariates were calculated. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using univariate and multivariate logistic regression approaches to assess the association.

RESULTS

A total of 4260 patients were identified during the study period. One hundred forty-eight patients (3.5%) underwent a reoperation within 30 days of their primary surgery. In univariate analysis, preoperative creatinine 1.5 mg/dL or greater (P = 0.010), smoking (P = 0.003), and both insulin-dependent (P = 0.029) and non-insulin-dependent diabetes mellitus (P = 0.048) were predictive of a reoperation. Multivariate analysis noted that smoking (OR, 1.94; 95% CI, 1.26-2.99), insulin-dependent diabetes mellitus (OR, 2.18; 95% CI, 1.08-4.40), non-insulin-dependent diabetes mellitus (OR, 1.65; 95% CI, 1.01-2.72), and preoperative creatinine (OR, 2.65; 95% CI, 1.26-5.58) were predictive of a reoperation. Age 50 to 60 years was protective against reoperation when compared with age younger than 50 years (OR, 0.54; 95% CI, 0.32-0.90).

CONCLUSIONS

Efforts to reduce reoperation rates should focus on identifying high-risk patients by utilizing objective preoperative data. Optimizing their medical status prior to surgery may decrease the reoperation rate in patients with ovarian cancer, thereby improving outcomes and providing a probable cost benefit.

Unplanned hospitalizations in a racially and ethnically diverse population of women receiving chemotherapy for epithelial ovarian cancer

OBJECTIVES

Unplanned hospital admission following chemotherapy is a measure of quality cancer care. Large retrospective datasets have shown admission rates of 10-35% for women with ovarian cancer receiving chemotherapy. We sought to evaluate the prevalence and associated risk factors for hospital admission following chemotherapy in our racially diverse urban population.

METHODS

After IRB approval, clinicopathologic and treatment data were abstracted from all patients with newly diagnosed epithelial ovarian cancer who received chemotherapy at our institution from 2005 to 2016. Two-sided statistical analyses and Cox regression analysis were performed using Stata.

RESULTS

Of 217 evaluable patients, 87 (40%) had unplanned admissions following chemotherapy: adjuvant 64 (74%) and neoadjuvant 23(26%). Thirty (14%) had more than one admission. In total, there were 1314 days of hospitalization. The median readmission duration was 3 days. Body mass index and hypertension were predictive of readmission (p < 0.05). When comparing those readmitted more than once to those admitted once, both race and aspirin use were predictive of readmission (p < 0.05). Of those admitted more than once the self-identified race and ethnicity was 12 (40%) Hispanic, 8 (27%) White, 8 (27%) Black and 2 (7%) other. There was a significant difference in disease free (p = 0.01) and overall survival (p = 0.004) for patients with unplanned admission after chemotherapy as compared to those without admission.

CONCLUSIONS

Readmission rates in our racially diverse patient population were higher than previously reported in the literature. Identifying patients at risk of readmission may play a role in chemotherapy decision-making, and resource allocation including patient care navigators.

Thirty-day unplanned hospital readmission in ovarian cancer patients undergoing primary or interval cytoreductive surgery: systematic literature review

OBJECTIVES

Thirty-day readmission rate has been proposed as metric of quality and remains an ongoing clinical concern in the primary treatment of patients with advanced-stage ovarian epithelial ovarian cancer. We conducted a review of the literature to identify rates, risk factors, and predictors for 30-day readmission in this population.

METHODS

A 10-year period MEDLINE (PubMed) search of English literature studies published between January 01, 2008-January 01, 2018 was performed to identify appropriate studies for review.

RESULTS

Thirty -day readmission rates for ovarian cancer patients undergoing primary treatment ranged from 2.5-19.3%. Neoadjuvant chemotherapy and interval cytoreductive surgery (NACT-ICS) surgery was associated with lower readmission rates, when compared to primary debulking surgery (PDS). The most frequently reported adverse events resulting in readmission include inpatient management of ileus/small bowel obstruction, wound-related complications, and thromboembolic events. Readmission predictors included the presence of other medical comorbidities, re-operation, and major complications occurring after initial hospital discharge. Some studies reported lower rates of readmission and survival in patients treated by NACT-ICS.

CONCLUSIONS

Policies and programs should be designed to measure short- and long-term outcomes in this patient population to avoid bias in assigning patients to NACT-ICS to maintain low 30-day readmission rates.

The outcomes of intestinal resection during debulking surgery for ovarian cancer

OBJECTIVE

To evaluate the clinical and surgical outcomes of intestinal resection during primary debulking surgery for ovarian cancer.

MATERIAL AND METHODS

This retrospective study was conducted at Zekai Tahir Burak Women's Health Training and Research Hospital between 2009 and 2013. The patients who underwent intestinal resection during debulking surgery for stage 3 ovarian cancer were included in the analysis. Data regarding patient age, body mass index, tumor histology, disease stage, the site of intestinal resection, all postoperative complications, duration of intensive care unit admission and hospital stay were collected and analyzed.

RESULTS

A total of 22 patients with a mean age of 53.4 years were included in the study. Optimal cytoreduction was achieved in 14 (63%) patients. Transverse colectomy was the most common type of intestinal resection (63%). The most common postoperative complication was transfusion of blood products (63%). No postoperative mortality was observed.

CONCLUSION

Intestinal resection is a crucial part of debulking surgery for advanced ovarian cancer, with acceptable complication rates. Despite the limited number of patients, the results obtained from the present study are comparable with previous reports.

Hospital readmission after ovarian cancer surgery: Are we measuring surgical quality?

OBJECTIVES

Readmission after surgery is a quality metric hypothesized to reflect the quality of care in the index hospitalization. We examined the link between readmissions and a surrogate of surgical quality - major postoperative complication - among ovarian cancer patients.

METHODS

Patients who underwent surgery for ovarian cancer between 2012 and 2013 were identified from the National Surgical Quality Improvement Project (NSQIP). Major complications were defined as grade 3 or ≥complications on the validated Claviden-Dindo scale and included both NSQIP and non-NSQIP defined complications based on readmission ICD-9 code. Readmissions and complications within 30-days of surgery were analyzed using rate ratios and modified Poisson regression.

RESULTS

We identified 2806 ovarian cancer patients of whom 9.1% (n=259) experienced an unplanned readmission. Overall major complication rate was 10.9% (n=307). Major complications in the index hospitalization were not associated with subsequent readmission (RR 1.2, 95% CI 0.7-1.9). Overall, 41.4% of readmissions were not attributable to any major postoperative complication. Of the unplanned readmissions, 55.2% (n=143) never experienced a NSQIP-defined major complication. Of these 143 patients, the reason for readmission was known for 107 patients and was: 28.0% non-NSQIP-defined major complications; 16.8% cancer or other medical factors; 22.4% minor complications; and 32.7% symptoms without a diagnosis of complication.

CONCLUSIONS

Forty percent of unplanned readmissions after ovarian cancer surgery occur among patients who have not experienced a major postoperative complication. Quality metric benchmarks and efforts to decrease readmissions should account for this high percentage of readmissions not associated with a major complication.

Predictors of 30-day readmission following hysterectomy for benign and malignant indications at a tertiary care academic medical center

BACKGROUND

Hospital readmissions are costly, frequent, and increasingly under public scrutiny. With increased financial constraints on the medical environment, understanding the drivers of unscheduled readmissions following gynecologic surgery will become increasingly important to value-driven care.

OBJECTIVE

The current study was conducted to identify risk factors for 30-day readmission following hysterectomy for benign and malignant indications.

STUDY DESIGN

A retrospective cohort study was conducted from 2008 through 2010 of all nongravid hysterectomies at a single tertiary care academic medical center. Clinical, perioperative, and physician characteristics were collected. Multivariable logistic regression models were used to identify predictors of 30-day readmission, stratified by malignant and benign indications for hysterectomy.

RESULTS

Among 1649 women who underwent a hysterectomy (1009 for benign indications and 640 for malignancy), 6% were subsequently readmitted within 30 days (8.9% for malignancy vs 4.2% for benign; P < .0001). The mean time to readmission was 13 days (15 days for malignancy vs 10 days for benign; P = .004). The most common reasons for readmission were gastrointestinal (38%) and infectious (34%) etiologies, and 11.6% of readmitted patients experienced a perioperative complication. Among women undergoing hysterectomy for benign indications, a history of a laparotomy, including cesarean delivery (adjusted odds ratio [AOR], 2.12; 95% confidence interval [CI], 1.06-4.25; P = .03), as well as a perioperative complication (AOR, 2.41; 95% CI, 1.00-6.04; P = .05) were both associated with a >2-fold increased odds of readmission. Among women undergoing hysterectomy for malignancy, an American Society of Anesthesiologists Physical Status Classification of III or IV (AOR, 1.92; 95% CI, 1.05-3.50; P = .03), a longer length of initial hospitalization (3 days AOR, 7.83; 95% CI, 1.33-45.99; P = .02), and an estimated blood loss >500 mL (AOR, 3.29; 95% CI, 1.28-8.45; P = .01) were associated with a higher odds of readmission; however, women who underwent a laparoscopic hysterectomy (AOR, 0.32; 95% CI, 0.12-0.86; P = .02) and who were discharged on postoperative day 1 (AOR, 0.16; 95% CI, 0.03-0.82; P = .02) were at a decreased risk of readmission. Physician and operative characteristics were not significant predictors of readmission.

CONCLUSION

This study found that malignancy, perioperative complications, and prior open abdominal surgery, including cesarean delivery, are significant risk factors for consequent 30-day readmission following index hysterectomy. It may be possible to identify patients at highest risk for readmission at the time of hysterectomy, which can assist in developing interventions to reduce such events.

The Frequency of Unplanned Rehospitalization and Associated Factors in Gyneoncology Patients: A Retrospective Study

Objective

In this study, we aim to analyze rate and associated factors with unplanned rehospitalization in gynecological cancer patients.

Materials and Methods

The electronic database query (2007 to 2014) was used to evaluate rehospitalization rates within 90 days of index admission in patients with gynecological cancer. Multivariable logistic regression was used to identify factors associated with rehospitalization.

Results

Mean patient age was 59.05 ± 11.96 years (minimum, 32 years; maximum, 85 years). A total of 152 patients’ data were evaluated. Seventy-three patients (48.0%) were rehospitalized within 90 days of discharge. The median length of index hospital stay (from 3 to 34 days) was 8.90 ± 6.03 days. The most common rehospitalization causes includes pain (24.6%), recurrence (21.9%), ascites (13.7%), surgical site infection (12.3%), acute reoperation (9.6%), thromboembolism (8.2%), renal failure (5.5%), ileus/obstruction (2.7%), and lymphedema (1.4%). In multivariable logistic regression model, difference was found between history of operation, receive chemotherapy, development of the complication during hospitalization comorbidities as well as multiparity variables, and rehospitalization (P < 0.05).

Conclusions

Unplanned rehospitalization after discharge for gynecological cancer is common with significant associated risk factors and patient outcomes. Integrated multidisciplinary health care strategies, such as safe transition, communication, patient and family education, accurate medication reconciliation, and short-interval outpatient follow-up may help to prevent rehospitalization after discharge and improve patient outcomes.

The Risk Factors of Readmission in Postoperative Gynecologic Oncology Patients at a Single Institution

INTRODUCTION

Hospital readmission rates are an important measure of quality care and have recently been tied to reimbursement. This study seeks to identify the risk factors for postoperative readmission in patients treated by a gynecologic oncology service.

METHODS

A 7-year retrospective review (2007-2013) of all patients operated on by the University of Virginia gynecologic oncology service who were readmitted within 30 days of discharge was performed. Abstracted data included demographics, dates of surgery, operative details, cancer history, and relevant medical history. The readmitted patients (n = 166) were compared with randomly selected controls (n = 168) from the same service in a matching time frame and analyzed using univariate and multivariate models.

RESULTS

In the study period, 2993 operations were performed. One hundred sixty-six unique patients (5.5%) were readmitted within 30 days of discharge from their operative procedure. On multivariate analysis, the factors that were associated with a higher risk of readmission were a history of psychiatric disease, postoperative complication, type of insurance, surgical modality, and lysis of adhesions at the time of surgery. The most common readmission diagnoses were infection (44%), nausea/vomiting (28%), thrombosis (6%), bowel leak (4%), and bleeding (4%).

CONCLUSIONS

Postoperative readmissions are a common problem and are increasingly important as a measure of quality. Although patients were generally admitted for infections or gastrointestinal complaints, we also found that individual factors such as mental health and socioeconomic status also contributed. Our data suggest that we can preoperatively identify high-risk individuals for whom extra resources can be directed postoperatively to avoid unnecessary readmissions.

Risk factors for readmission in patients with ovarian, fallopian tube, and primary peritoneal carcinoma who are receiving front-line chemotherapy on a clinical trial (GOG 218): an NRG oncology/gynecologic oncology group study (ADS-1236)

BACKGROUND

Readmission within 30days is a measure of care quality. Ovarian cancer patients are at high risk for readmission, but specific risk factors are not defined. This study was designed to determine risk factors in patients with ovarian cancer receiving upfront surgery and chemotherapy.

METHODS

The study population was enrolled to GOG 0218. Factors predictive of admission within 30days of a previous admission or 40days of cytoreductive surgery were investigated. Categorical variables were compared by Pearson chi-square test, continuous variables by Wilcoxon-Mann-Whitney test. A logistic regression model was used to evaluate independent prognostic factors and to estimate covariate-adjusted odds. All tests were two-tailed, α=0.05.

RESULTS

Of 1873 patients, 197 (10.5%) were readmitted, with 59 experiencing >1 readmission. One-hundred-forty-four (73%) readmissions were post-operative (readmission rate 7.7%). Significant risk factors include: disease stage (stage 3 vs 4, p=0.008), suboptimal cytoreduction (36% vs 64%, p=0.001), ascites, (p=0.018), BMI (25.4 vs 27.6, p<0.001), poor PS (p<0.001), and higher baseline CA 125 (p=0.017). Patients readmitted within 40days of surgery had a significantly shorter interval from surgery to chemotherapy initiation (22 versus 32days, p<0.0001). Patients treated with bevacizumab had higher readmission rates in the case of patients with >1 readmission. On multivariate analysis, the odds of re-hospitalization increased with doubling of BMI (OR=1.81, 95% CI: 1.07-3.07) and PS of 2 (OR=2.05, 95% CI 1.21-3.48).

CONCLUSION

Significant risk factors for readmission in ovarian cancer patients undergoing primary surgery and chemotherapy include stage, residual disease, ascites, high BMI and poor PS. Readmissions are most likely after the initial surgical procedure, a discrete period to target with a prospective intervention.

Risk factors and indications for 30-day readmission after primary surgery for epithelial ovarian cancer

BACKGROUND

To identify patients at risk for postoperative morbidities, we evaluated indications and factors associated with 30-day readmission after epithelial ovarian cancer surgery.

METHODS

Patients undergoing primary surgery for epithelial ovarian cancer between January 2, 2003, and December 29, 2008, were evaluated. Univariable and multivariable logistic regression models were fit to identify factors associated with 30-day readmission. A parsimonious multivariable model was identified using backward and stepwise variable selection.

RESULTS

In total, 324 (60.2%) patients were stage III and 91 (16.9%) were stage IV. Of all 538 eligible patients, 104 (19.3%) were readmitted within 30 days. Cytoreduction to no residual disease was achieved in 300 (55.8%) patients, and 167 (31.0%) had measurable disease (≤1 cm residual disease). The most common indications for readmission were surgical site infection (SSI; 21.2%), pleural effusion/ascites management (14.4%), and thromboembolic events (12.5%). Multivariate analysis identified American Society of Anesthesiologists score of 3 or higher (odds ratio, 1.85; 95% confidence interval, 1.18-2.89; P = 0.007), ascites [1.76 (1.11-2.81); P = 0.02], and postoperative complications during initial admission [grade 3-5 vs none, 2.47 (1.19-5.16); grade 1 vs none, 2.19 (0.98-4.85); grade 2 vs none, 1.28 (0.74-2.21); P = 0.048] to be independently associated with 30-day readmission (c-index = 0.625). Chronic obstructive pulmonary disease was the sole predictor of readmission for SSI (odds ratio, 3.92; 95% confidence interval, 1.07-4.33; P = 0.04).

CONCLUSIONS

Clinically significant risk factors for 30-day readmission include American Society of Anesthesiologists score of 3 or higher, ascites and postoperative complications at initial admission. The SSI and pleural effusions/ascites are common indications for readmission. Systems can be developed to predict patients needing outpatient management, improve care, and reduce costs.

Exploring the burden of inpatient readmissions after major cancer surgery

PURPOSE

Travel distances to care have increased substantially with centralization of complex cancer procedures at high-volume centers. We hypothesize that longer travel distances are associated with higher rates of postoperative readmission and poorer outcomes.

METHODS

SEER-Medicare patients with bladder, lung, pancreas, or esophagus cancer who were diagnosed in 2001 to 2007 and underwent extirpative surgery were included. Readmission rates and survival were calculated using Kaplan-Meier functions. Multivariable negative binomial models were used to examine factors associated with readmission.

RESULTS

Four thousand nine hundred forty cystectomies, 1,573 esophagectomies, 20,362 lung resections, and 2,844 pancreatectomies were included. Thirty- and 90-day readmission rates ranged from 13% to 29% and 23% to 43%, respectively, based on tumor type. Predictors of readmission were discharge to somewhere other than home, longer length of stay, comorbidities, higher stage at diagnosis, and longer travel distance (P < .001 for each). Patients who lived farther from the index hospital also had increased emergency room visits and were more likely to be readmitted to a hospital other than the index hospital (P < .001). Of readmitted patients, 31.9% were readmitted more than once. Long-term survival was worse and costs of care higher for patients who were readmitted (P < .001 for all).

CONCLUSION

The burden of readmissions after major cancer surgery is high, resulting in substantially poorer patient outcomes and higher costs. Risk of readmission was most strongly associated with length of stay and discharge destination. Travel distance also has an impact on patterns of readmission. Interventions targeted at higher risk individuals could potentially decrease the population burden of readmissions after major cancer surgery.

Surgical Apgar Score and prediction of morbidity in women undergoing hysterectomy for malignancy

OBJECTIVE

To validate whether Surgical Apgar Score can predict post-operative morbidity in patients undergoing hysterectomies for malignancies.

METHODS

We conducted a retrospective cohort study of consecutive hysterectomies performed for cancer at a single academic institution between 2008 and 2010. The Surgical Apgar Score (SAS) was derived as previously reported. Peri-operative complications were as outlined by the American Board for Obstetrics and Gynecology, and then further subdivided into intra-operative and post-operative events. Univariate and multivariate logistic regressions were utilized.

RESULTS

A total of 632 patients were identified. Of our cohort, 64% underwent surgery for cancer arising in the uterus, followed by ovary at 28.6% and cervix at 4%. Median patient age was 60 years old with a mean American Society of Anesthesiologists Physical Status Classification System (ASA) score of 2.5 and a median body mass index of 29. Average Surgical Apgar Score was 7.6. As SAS decreased, the risk of peri-operative complications increased (p<0.01). On univariate analysis SAS could predict for both intra-operative and post-operative complications. However, on multivariate analyses SAS could not independently predict for any post-operative complications (OR 1.02, CI 0.47-2.17). In a multivariable model incorporating age, ASA class, SAS <4, disease site, bowel resection and laparotomy, only ASA class and laparotomy were able to predict for postoperative complication events.

CONCLUSIONS

Low Surgical Apgar Score significantly associates with morbidity in women undergoing hysterectomy for malignancy, but is unable to predict which patients will have postoperative complications. This renders the SAS less helpful for the creation of peri-operative metrics to guide post-operative care.

Evaluation of 30-day hospital readmission after surgery for advanced-stage ovarian cancer in a medicare population

PURPOSE

To analyze rate, risk factors, and costs associated with 30-day readmission after ovarian cancer surgery.

PATIENTS AND METHODS

The SEER-Medicare linked database (1992 to 2010) was used to evaluate readmission rates within 30 days of index surgery in patients with stage IIIC/IV ovarian, primary peritoneal, or fallopian tube cancer. Multivariable logistic regression was used to identify factors associated with readmission.

RESULTS

Of 5,152 eligible patients, 1,003 (19.5%) were readmitted within 30 days of discharge. Mean patient age was 75 years. Diagnoses associated with readmission included infection (34.7%), dehydration (34.3%), ileus/obstruction (26.2%), metabolic/electrolyte derangements (23.1%), and anemia (12.3%). In multivariable analysis, year of discharge was significantly associated with 30-day readmission (1996 to 2000: odds ratio [OR], 1.32; 95% CI, 1.01 to 1.71; 2001 to 2005: OR, 1.58; 95% CI, 1.24 to 2.0; 2006 to 2010: OR, 1.73; 95% CI, 1.35 to 2.21; referent years 1992 to 1995), as were length of index hospital stay more than 8 days (OR, 1.39; 95% CI, 1.18 to 1.64) and discharge to a skilled nursing facility (OR, 1.3; 95% CI, 1.04 to 1.63). Patients readmitted within 30 days had a significantly greater 1-year mortality rate compared with patients not readmitted (41.1% v 25.1%, respectively; P < .001). The median cost of readmission hospital stay was $9,220 in year 2010 dollars, with a total cost of $9.3 million over the study period.

CONCLUSION

Early readmission after surgery for ovarian cancer is common. There is a significant association between 30-day readmission and 1-year mortality. These findings may catalyze development of targeted interventions to decrease early readmission, improve patient outcomes, and control health care costs.

Unintended consequences: surgical complications in gynecologic cancer

More than 91,000 women in the USA will be diagnosed with a gynecologic malignancy in 2013. Most will undergo surgery for staging, treatment or both. No therapeutic intervention is without consequence, therefore, it is imperative to understand the possible complications associated with the perioperative period before undertaking surgery. Complication rates are affected by a patient population that is increasingly older, more obese and more medically complicated. Surgical modalities consist of abdominal, vaginal, laparoscopic and robotic-assisted approaches, and also affect rates of complications. An understanding of the various approaches, patient characteristics and surgeon experience allow for individualized decision-making to minimize the complications after surgery for gynecologic cancer.

Readmissions following elective radical total gastrectomy for early gastric cancer: a case-controlled study

BACKGROUND

Readmission after gastrectomy is one of the factors that reflect quality of life. Therefore, we analyzed the several factors related to readmissions after total gastrectomy for early gastric cancer.

METHODS

From January 2002 through December 2009, 102 consecutive patients who underwent radical total gastrectomy for early gastric cancer were enrolled in this study. We evaluated the incidence, cause, time point, and type of treatment for readmission after discharge; we compared the readmission and non-readmission groups in regard to clinicopathologic features and postoperative outcomes.

RESULTS

The readmission rate during the five years after total gastrectomy was 22 of 102 (21.6%). The most common cause for readmission was esophagojejunostomy stricture (5 cases). The treatment given for 31 readmissions included 23 conservative therapies, 3 radiologic or endoscopic interventions, and 5 re-operations. No significant differences were detected in the clinicopathologic feature, postoperative outcomes, or 5-year survival rates between the readmission and non-readmission group. No specific risk factor was found to be associated with readmission.

CONCLUSION

Although we could not determine a specific risk factor associated with readmission after radical total gastrectomy, prevention of readmission by evaluating the causes and treatments after radical total gastrectomy can improve the patient's quality of life.

Patient, treatment and discharge factors associated with hospital readmission within 30 days after surgical cytoreduction for epithelial ovarian carcinoma

OBJECTIVE

Hospital readmissions are common, costly and increasingly viewed as adverse events. In gynecologic oncology, data on readmissions are limited. The goal of this study was to examine the patient, treatment and discharge factors associated with unplanned readmission after cytoreductive surgery.

METHODS

We identified all patients with stages II-IV ovarian cancer who underwent surgical cytoreduction at our institution between 2003 and 2011. A retrospective chart review was performed, and clinical variables were extracted. Utilizing linear and logistic regression, these clinical variables were correlated with risk of readmission.

RESULTS

A total of 460 patients were included in the analysis, with the majority having a stage IIIC high grade serous cancer. Optimal cytoreduction (<1.0 cm residual disease) was obtained in 368 patients (81%), and 233 patients (50%) underwent at least one radical procedure. Perioperative complications were observed in 148 patients (32%). A large proportion of our cohort was discharged to rehabilitation facilities (12%) or with a visiting nurse (38%). Fifty five patients (12%) were readmitted within 30 days. On multivariate logistic regression, reoperation and perioperative cardiopulmonary event were the only factors associated with readmission (OR=3.2, 95% CI=1.7-6.0). Discharge home with ancillary services was not protective against readmission, even when controlling for perioperative complications (OR=1.18, 95% CI=0.53-2.64).

CONCLUSIONS

Readmission after surgical cytoreduction affected 12% of our population. Multivariate analyses suggested perioperative complications, particularly reoperation and cardiopulmonary event, placed the patient at the greatest risk. Age, comorbidities, surgical radicality and discharge with visiting nurse services/rehabilitation facility did not affect the likelihood of readmission.

Does neoadjuvant chemotherapy decrease the risk of hospital readmission following debulking surgery?

OBJECTIVE

To compare primary debulking surgery (PDS) vs. neoadjuvant chemotherapy with interval debulking surgery (NACT-IDS) among elderly patients with ovarian/fallopian tube/primary peritoneal carcinoma.

METHODS

Medical records of patients ≥70 years old with epithelial ovarian/fallopian tube/primary peritoneal carcinoma between January 2000 and December 2010 were reviewed. Patients were separated by PDS or NACT-IDS. Preoperative characteristics, surgical procedures and postoperative and oncologic outcomes were compared. Surgical procedures were given a complexity score based on a previously published method.

RESULTS

Of 165 patients, 125 (75.8%) underwent PDS and 40 (24.2%) underwent NACT-IDS. Patients undergoing NACT-IDS were more likely to have a pleural effusion (without cytology) and stage 4 disease. Median CA-125 at diagnosis was greater for those undergoing NACT-IDS. The NACT-IDS group was associated with less intraoperative blood loss (250 vs. 400 mL, p=0.001), a greater chance of achieving no residual disease (40% vs. 16%, p=0.005) and a shorter hospital length of stay (LOS) (5 vs. 7 days, p<0.001). PFS (17 vs. 15 months, p=0.708) and OS (29 vs. 33 months, p=0.827) were similar between the two groups. Readmission rates within 30 days of surgery were greater in those undergoing PDS (17.6% vs. 2.5%, p=0.016). After readmission, the median hospital LOS was 6 days (range: 1-41).

CONCLUSIONS

Elderly patients undergoing PDS have similar oncologic outcomes when compared to patients undergoing NACT-IDS. The risk of readmission within 30 days of surgery is significantly greater among patients undergoing PDS.

A 5 year analysis of readmissions after radical subtotal gastrectomy for early gastric cancer

BACKGROUND

Many patients and surgeons have become interested in the quality of life after surgery for early gastric cancer. However, no reports on readmission rates for gastrectomy patients have been published, even if readmission greatly affects the patient's quality of life.

METHODS

In 530 consecutive early gastric cancer patients who underwent radical subtotal gastrectomy, we determined the incidence, cause, timing, type of treatment, and risk factors for readmission after discharge, and compared the readmission and nonreadmission groups with respect to clinicopathologic features and postoperative outcomes.

RESULTS

Overall, the 5 year and 1 month readmission rates after radical subtotal gastrectomy for early gastric cancer were 13.0% (69 of 530) and 7.5% (40 of 530), respectively. The most common cause for readmission was delayed gastric emptying (17 cases). Among a total of 82 readmissions, 34 patients (41.5%) were readmitted within 2 weeks of surgery. The type of treatment for 82 readmissions included 55 conservative therapies, 15 radiologic or endoscopic interventions, and 12 repeat laparotomies. No significant differences were detected in the clinicopathologic feature and postoperative outcomes between the two groups. The initial hospital stay remained significantly associated with readmission based on multivariate analysis.

CONCLUSIONS

Readmission rate at 1 month after radical subtotal gastrectomy is lower than that after major bowel surgery. Unusual postoperative recovery in a patient with vague symptoms should be managed with greater care before discharge. After subtotal gastrectomy for early gastric cancer, prevention of readmission can improve the patient's quality of life.