Clinical Factors Associated with Longer Hospital Stay Following Ovarian Cancer Surgery

Ovarian Cancer surgical consideration is markedly improved by the neural network powered-MIA3G multivariate index assay

Background

Surgery remains the main treatment option for an adnexal mass suspicious of ovarian cancer. The malignancy rate is, however, only 10-15% in women undergoing surgery. This results in a high number of unnecessary surgeries. A surveillance-based approach is recommended to form the basis for surgical referrals. We have previously reported the clinical performance of MIA3G, a deep neural network-based algorithm, for assessing ovarian cancer risk. In this study, we show that MIA3G markedly improves the surgical selection for women presenting with adnexal masses.

Methods

MIA3G employs seven serum biomarkers, patient age, and menopausal status. Serum samples were collected from 785 women (IQR: 39-55 years) across 12 centers that presented with adnexal masses. MIA3G risk scores were calculated for all subjects in this cohort. Physicians had no access to the MIA3G risk score when deciding upon a surgical referral. The performance of MIA3G for surgery referral was compared to clinical and surgical outcomes. MIA3G was also tested in an independent cohort comprising 29 women across 14 study sites, in which the physicians had access to and utilized MIA3G prior to surgical consideration.

Results

When compared to the actual number of surgeries (n = 207), referrals based on the MIA3G score would have reduced surgeries by 62% (n = 79). The reduction was higher in premenopausal patients (77%) and in patients ≤55 years old (70%). In addition, a 431% improvement in malignancy prediction would have been observed if physicians had utilized MIA3G scores for surgery selection. The accuracy of MIA3G referral was 90.00% (CI 87.89-92.11), while only 9.18% accuracy was observed when the MIA3G score was not used. These results were corroborated in an independent multi-site study of 29 patients in which the physicians utilized MIA3G in surgical consideration. The surgery reduction was 87% in this cohort. Moreover, the accuracy and concordance of MIA3G in this independent cohort were each 96.55%.

Conclusion

These findings demonstrate that MIA3G markedly augments the physician's decisions for surgical intervention and improves malignancy prediction in women presenting with adnexal masses. MIA3G utilization as a clinical diagnostic tool might help reduce unnecessary surgeries.

Operative duration as independent predictor of increased postoperative healthcare utilization

PURPOSE

Few studies have examined the risk factors for postoperative healthcare resource utilization (HRU) among minimally invasive partial nephrectomy (MIPN), minimally invasive prostatectomy (MIP), and cystectomy (Cx). The aim of this study is to assess if operative duration (OD) is a predictor of HRU in this population.

METHODS

The ACS-NSQIP database was filtered for MIPN, MIP, and Cx. Patient characteristics and intraoperative variables were examined. HRU was defined as prolonged length of stay (LOS), unplanned readmission within 30 days, and discharge to continued care facility. Multivariate regression analysis was used to identify independent predictors of HRU.

RESULTS

18,904 MIPN, 50,807 MIP, and 12,451 Cx were included. For MIPN, HRU was seen in 13.9% of cases < 1.75 h, increasing to 36.2% in OD > 4.5 h (p < 0.001). For MIP, HRU was seen in 10.6% of OD < 2 h, increasing to 32.2% for OD > 4.9 h (p < 0.001). For Cx, 57% of those with OD > 8.5 h required HRU compared to 42.1% for OD < 3.3 h (p < 0.001). On multivariate analyses, OD was an independent predictor for increased HRU for all procedures regardless of patient characteristics or comorbidities. For MIPN, OD > 4.5 h had 3.5-fold increased use of HRU (p < 0.001). For MIP, OD > 5 h had 3.7-fold increased use of HRU (p < 0.001). For Cx, OD > 8.5 h demonstrated a twofold increased use of HRU (p < 0.001).

CONCLUSIONS

OD during MIPN, MIP, and Cx is an independent predictor of increased HRU irrespective of patient comorbidities. Patients with OD > 4.5 h for MIPN, > 5 h for MIP, and > 8.5 h for Cx have 3.5-fold, 3.7-fold, and twofold increased risk of HRU, respectively.

Stratification of Length of Stay Prediction following Surgical Cytoreduction in Advanced High-Grade Serous Ovarian Cancer Patients Using Artificial Intelligence; the Leeds L-AI-OS Score

(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-term care. Artificial Intelligence (AI) technologies could help monitor hospital stays. We developed an AI-based novel predictive LOS score for advanced-stage high-grade serous ovarian cancer (HGSOC) patients following cytoreductive surgery and refined factors significantly affecting LOS. (2) Methods: Machine learning and deep learning methods using artificial neural networks (ANN) were used together with conventional logistic regression to predict continuous and binary LOS outcomes for HGSOC patients. The models were evaluated in a post-hoc internal validation set and a Graphical User Interface (GUI) was developed to demonstrate the clinical feasibility of sophisticated LOS predictions. (3) Results: For binary LOS predictions at differential time points, the accuracy ranged between 70-98%. Feature selection identified surgical complexity, pre-surgery albumin, blood loss, operative time, bowel resection with stoma formation, and severe postoperative complications (CD3-5) as independent LOS predictors. For the GUI numerical LOS score, the ANN model was a good estimator for the standard deviation of the LOS distribution by ± two days. (4) Conclusions: We demonstrated the development and application of both quantitative and qualitative AI models to predict LOS in advanced-stage EOC patients following their cytoreduction. Accurate identification of potentially modifiable factors delaying hospital discharge can further inform services performing root cause analysis of LOS.

Trends in extent of surgical cytoreduction for patients with ovarian cancer

Purpose

To identify patient and hospital characteristics associated with extended surgical cytoreduction in the treatment of ovarian cancer.

Methods

A retrospective analysis using the National Inpatient Sample (NIS) database identified women hospitalized for surgery to remove an ovarian malignancy between 2013 and 2017. Extended cytoreduction (ECR) was defined as surgery involving the bowel, liver, diaphragm, bladder, stomach, or spleen. Chi-square and logistic regression were used to analyze patient and hospital demographics related to ECR, and trends were assessed using the Cochran-Armitage test.

Results

Of the estimated 79,400 patients undergoing ovarian cancer surgery, 22% received ECR. Decreased adjusted odds of ECR were found in patients with lower Elixhauser Comorbidity Index (ECI) scores (OR 0.61, p<0.001 for ECI 2, versus ECI≥3) or residence outside the top income quartile (OR 0.71, p<0.001 for Q1, versus Q4), and increased odds were seen at hospitals with high ovarian cancer surgical volume (OR 1.25, p<0.001, versus low volume). From 2013 to 2017, there was a decrease in the proportion of cases with extended procedures (19% to 15%, p<0.001). There were significant decreases in the proportion of cases with small bowel, colon, and rectosigmoid resections (p<0.001). Patients who underwent ECR were more likely treated at a high surgical volume hospital (37% vs 31%, p<0.001) over the study period. For their hospital admission, patients who underwent ECR had increased mortality (1.6% vs. 0.5%, p<0.001), length of stay (9.6 days vs. 5.2 days, p<0.001), and mean cost ($32,132 vs. $17,363, p<0.001).

Conclusions

Likelihood of ECR was associated with increased medical comorbidity complexity, higher income, and undergoing the procedure at high surgical volume hospitals. The proportion of ovarian cancer cases with ECR has decreased from 2013–17, with more cases performed at high surgical volume hospitals.

Impact of COVID-19 Pandemic on Ovarian Cancer Management: Adjusting to the New Normal

COVID-19, also known as the coronavirus disease 2019, is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) declared pandemic by the World Health Organization (WHO). As the world faces the coronavirus disease 2019 crisis, the oncology community is being impacted by unprecedented challenges. During this trying time, patients with ovarian cancer (OC) have been affected by a delay in diagnosis, surgery, chemotherapy and radiation treatments, and oncology follow-ups being conducted via telemedicine instead of in-person visits. OC patients and their oncologists are balancing the fears of COVID-19 and cancer treatment with the consequences of delaying cancer care. The delay in treatment care that women with OC are experiencing has resulted in higher levels of cancer worry, anxiety, and depression. In this article, we succinctly review the impact of the COVID-19 pandemic on the diagnosis and treatment and ongoing clinical trials of OC. We also discuss the psychological effects of COVID-19 on women with OC and alternative therapeutic strategies to limit in-person hospital visits to reduce the spread of the disease, and the impact of COVID-19 on OC patients.

Rectosigmoid resection during Visceral-Peritoneal Debulking (VPD) in patients with stage IIIC-IV ovarian cancer: morbidity of gynecologic oncology vs. colorectal team

Objective

This study investigates the specific morbidity of rectosigmoid resection (RSR) during Visceral-Peritoneal Debulking (VPD) in a consecutive series of patients with stage IIIC-IV ovarian cancer and compares the results of the colo-rectal vs. the gynaecologic oncology team.

Methods

All patients with the International Federation of Gynecology and Obstetrics (FIGO) stage IIIC–IV ovarian cancer who had VPD and RSR were included in the study. Between 2009 and 2013 all operations were performed by the gynecologic oncology team alone (group 1). Since 2013 the RSR was performed by the colorectal team together with the gynecologic oncologist (group 2). All pre-operative information and surgical details were compared to exclude significant bias. Intra- and post-operative morbidity events were recorded and compared between groups.

Results

One hundred and sixty-two patients had a RSR during VPD, 93 in group 1 and 69 in group 2. Groups were comparable for all pre-operative features other than: albumin (1<2) hemoglobin (2<1) and up-front surgery (1>2). Overall morbidity was 33% vs. 40% (p=0.53), bowel specific morbidity 11.8% vs. 11.5% (p=0.81), anastomotic leak 4.1% vs. 6.1% (p=0.43) and re-operation rate 9.6% vs. 6.1% (p=0.71) in groups 1 and 2, respectively. None of them were significantly different. The rate of bowel diversion was 36.5% in group 1 vs. 46.3% in group 2 (p=0.26).

Conclusions

Our study failed to demonstrate any significant difference in the morbidity rate of RSR based on the team performing the surgery. These data warrant further investigation as they are interesting with regards to education, finance, and medico-legal aspects.

Value of pre-existent bacterial colonization in patients with advanced/relapsed ovarian neoplasms undergoing cytoreductive surgery: a multicenter observational study (BONSAI)

OBJECTIVE

As an increasing number of patients with advanced/relapsed ovarian cancer need extensive cytoreductive procedures, there is an increasing number of complex cases collected in accredited tertiary cancer centers. With nosocomial infections and bacterial colonizations being a significant challenge in these patient cohorts, we aimed to evaluate the risk such infections pose to surgical outcome.

METHODS

Prospective assessment of pathological bacterial colonization (vaginal, umbilical/groin, intraperitoneal, urine, oral/nose cavity) in patients who underwent open cytoreductive surgery for advanced/relapsed ovarian cancer in two large European tertiary referral centers for gynecologic malignancies. We recruited patients at initial diagnosis with International Federation of Gynecology and Obstetrics (FIGO) stage III and IV ovarian cancer and patients undergoing surgery for relapse. Swabs or cultures were taken from the following sites: vagina, groin and/or umbilicus, urine, intraperitoneal, mouth and/or nose. Only evidence of pathogenic bacteria was considered positive for bacterial colonization.

RESULTS

A total of 172 primary advanced (70.9%) or relapsed (29.1%) ovarian cancer patients were included; 63.4% of them had received chemotherapy±additional targeted agents (16.3%) by the time of cytoreduction. 39.5% of the patients had a long-term vascular access line in situ. A bowel resection was performed in 44.8% and a splenectomy in 16.3% of the patients. Predefined surgical morbidity and mortality were 22.3% and 0%, respectively. Forty-one patients (23.8%) screened positive for pathogenic bacterial colonization with the presence of long-term intravenous access as the only independent risk factor identified (OR 2.34; 95% CI 1.05 to 5.34; p=0.04). Type of systemic treatments, previous bowel resections, previous hospitalizations, and patient demographics did not appear to significantly impact the risk of bacterial colonization. Furthermore, pathogenic bacterial colonization was shown to have no significant effect on peri-operative infection-related complications such as abscesses, wound infection, pneumonia, relaparotomy, or anastomotic leak.

CONCLUSIONS

A total of 24% of patients undergoing cytoreductive surgery for ovarian cancer were confirmed positive for pathogenic bacterial colonization. The presence of long-term intravenous access was identified as the only significant risk factor for that, however the presence of pathogenic bacterial colonization per se did not seem to adversely affect outcome of cytoreductive effort or increase perioperative infection related complications.

The Influence of the Preoperative Status on the Risk of Postoperative Complications After Cytoreductive Surgery for Advanced-stage Ovarian Cancer

BACKGROUND/AIM

The aim of this study was to analyze the influence of preoperative status on the risk of developing further postoperative complications after debulking surgery for advanced-stage ovarian cancer.

PATIENTS AND METHODS

A total of 80 consecutive patients submitted to surgery between 2014 and 2019 for advanced-stage ovarian cancer were retrospectively reviewed.

RESULTS

Among the 80 cases there were seven patients who developed serious postoperative complications requiring reintervention. Among these cases it seems that association of obesity, poor nutritional status (defined as a lower than 3.5 g/dl serum albumin level) and elderly age were significantly associated with the risk of developing further complications.

CONCLUSION

When selecting the candidates for debulking surgery for advanced-stage ovarian cancer attention should be focused on excluding cases presenting such preoperative risk factors in order to decrease the postoperative morbidity.