Background: Malnutrition and sarcopenia often occur simultaneously in cancer patients and are thought to have harmful effects on both surgical and oncological outcomes. Therefore, we want to evaluate the effects of sarcopenia and malnutrition on severe postoperative complications and overall survival in gynecologic cancer patients.Methods: We assessed nutritional parameters and run a bioelectrical impedance analysis in 226 women. Extracellular mass to body cell mass index, phase angle alpha, muscle mass, and fat mass were evaluated. To determine if patients suffer from sarcopenia, we ran the Timed ‘Up and Go’ test, performed hand grip strength, and calculated a skeletal muscle index. Postoperative complications were categorized using Clavien–Dindo Classification. Utilizing ROC analysis and logistic regression, we determined predictive clinical factors for severe postoperative complications. Kaplan–Meier method and log‐rank test were used for overall survival analysis.Results: Of the 226 female patients, 120 (53%) had a BMI ≥ 25 kg/m², 56 (26%) had a phase angle < 4.75°, and 68 (32%) were sarcopenic according to skeletal muscle index < 27%. Within 30 days after surgery, 40 (18%) patients developed severe postoperative complications, and 4% had died. According to multivariable regression analysis, ECOG status > 1 (OR 4.56, 95% CI: 1.46–14.28, P = 0.009), BMI ≥ 25 kg/m² (OR 8.22, 95% CI: 3.01–22.48, P < 0.001), phase angle < 4.75° (OR 3.95, 95% CI: 1.71–9.10, P = 0.001), and tumour stage ≥ III A (OR 3.65, 95% CI: 1.36–9.76, P = 0.01) were predictors of severe postoperative complications. During 59 months of follow‐up, 108 (48%) patients had died. According to multivariable Cox regression ECOG status > 1 (HR 2.51, 95% CI: 1.25–5.03, P = 0.01), hypoalbuminemia (HR 2.15, 95% CI: 1.28–3.59, P = 0.004), phase angle < 4.5° (HR 1.76, 95% CI 1.07–2.90, P = 0.03), tumour stage ≥ III A (HR 2.61, 95% CI: 1.53–4.45, P < 0.001), and severe postoperative complications (HR 2.82, 95% CI: 1.80–4.41, P < 0.001) were predictors of overall mortality.Conclusions: We observed that preoperatively assessed ECOG status > 1, BMI > 25 kg, as well as phase angle alpha < 4.75° and FIGO stage ≥ III A are significantly associated with severe postoperative complications within the first month. Whereas ECOG status > 1, hypoalbuminemia, phase angle < 4.5° as well as FIGO stage ≥ III A and severe postoperative complications within 30 days correlate significantly with poor overall survival.

Background: Accompanying co-morbidities in patients with ovarian cancer are of major relevance for scheduling debulking surgery, especially in the anesthesiological consultations. Aim of this study was to evaluate the impact of co-morbidities and patient characteristics on postoperative complications. Methods: Patients undergoing maximal cytoreductive surgery were prospectively enrolled from October 2015 to January 2017. Various variables were recorded, such as the Charlson comorbidity index, Eastern cooperative oncology group scale of performance status (ECOG PS) and the American society of anesthesiologists physical status classification system (ASA PS). Surgical complications were graded using the Clavien–Dindo criteria. Logistic regression models were used to analyze risk factors for severe postoperative complications. Results: Of 106 enrolled patients, 19 (17.9%) developed severe postoperative complications grade ≥ IIIb according to Clavien–Dindo criteria. In the multivariable regression analysis impaired (ECOG PS) > 1 (odds ratio OR) 13.34, 95% confidence interval (CI) 1.74–102.30, p = 0.01), body mass index (BMI) > 25 kg/m² (OR 10.48, 95% CI 2.38–46.02, p = 0.002) along with the use of intraoperative norepinephrine > 0.11 µg/kg/min (OR 4.69, 95% CI 1.13–19.46, p = 0.03) and intraoperative fresh frozen plasma (FFP) > 17 units (OR 4.11, 95% CI 1.12–15.14, p = 0.03) appeared as significant predictors of severe postoperative complications. Conclusion: We demonstrated that neither the presence of a certain comorbidity nor the summation of the co-morbidities were associated with adverse outcome. Patient characteristics, such as ECOG PS > 1 and obesity (BMI > 25 kg/m²), are highly predictive factors for severe postoperative complications. The analysis of intraoperative data showed that the need for more than > 0.11 µg/kg/min of norepinephrine and transfusions of FFPs more than 17 units were strongly associated with severe postoperative complications.

Background Surgery for gynecological cancer involves highly invasive and complex procedures potentially associated with various complications, which can cause extended hospital stays and delay of subsequent therapy, with a detrimental effect on the prognosis. The aim of this study was to explore and define the predictors of severe postoperative complications in patients undergoing surgery for gynecologic cancer. Methods Patients undergoing surgery for gynecologic cancers were analyzed prospectively from October 2015 through January 2017. Using validated assessment tools preoperatively, we assessed comorbidities, performance status, quality of life, nutritional and body composition by bioelectrical impedance analysis, and the surgical data of each patient. Surgical complications were graded using the Clavien-Dindo criteria. Using stepwise logistic regression models, we identified predictive markers for postoperative complications. Results Of the 226 enrolled patients, 40 (17.7%) experienced a grade ≥IIIb complication according to the Clavien-Dindo criteria. In the regression analysis, overweight/obesity (body mass index >25) (OR 6.41, 95% CI 2.38 to 17.24; p<0.001) and impaired physical functioning defined by a quality of life questionnaire (OR 4.19, 95% CI 1.84 to 9.50; p=0.001) emerged as significant predictors of postoperative complications. Moreover, postoperative complications were predicted by phase angle of bioelectrical impedance analysis 1 (OR 2.51, 95% CI 1.06 to 5.92; p=0.04). Intraoperative factors associated with higher risk of postoperative complications were increased use of norepinephrine (>11 µg/kg/min) (OR 5.59, 95% CI 2.16 to 14.44; p<0.001) and performance of large bowel resection (OR 4.28, 95% CI 1.67 to 10.97; p=0.002). Conclusion In patients undergoing surgery for gynecological cancer, preoperative evaluation of performance status according to ECOG, domains of quality of life and nutritional status, as well as intraoperative monitoring of risk factors, might help to identify patients at high risk for severe postoperative complications, and thus reduce surgical morbidity and mortality.

Purpose: The aim of this study was to investigate preoperative quality of life (QoL) as a predictive tool for severe postoperative complications (POC) in gynecological cancer surgery. Methods: This is a prospective study of patients undergoing gynecologic cancer surgery at an academic center in Germany. QoL was assessed by the EORTC Quality of Life Questionnaire (QLQ-C30) and the NCCN Distress Thermometer (DT). Several geriatric assessment tools have been applied. POC were graded using Clavien–Dindo criteria. Using multivariable logistic regression models, we identified predictive clinical characteristics for postoperative complications. Results: Within 30 days of surgery, 40 patients (18%) experienced grade ≥ 3b complications including 9 patients (4%) who died. The dominant complication was anastomosis insufficiency with 13 patients (5.8%). In the multivariable stepwise logistic regression through all univariate significant variables, we found that impaired physical functioning was predictive of POC, defined by an EORTC score < 70 (OR 5.08, 95% CI 2.23–11.59, p < 0.001). Regarding symptoms nausea/vomiting assessed as an EORTC score > 20 (OR 3.08, 95% CI 1.15–8.26, p = 0.025) indicated a significant predictive value. Being overweight or obese (BMI > 25) were also identified as predictive factors (OR 5.44, 95% CI 2.04–14.49, p = 0.001) as were reduced Mini Mental State Examination (MMSE) results < 27 (OR 7.94, 95% CI 1.36–45.46, p = 0.02). Conclusion: Preoperative QoL measurements could help to predict postoperative complications in patients with gynecological cancer. Patients with limitations of mobility, debilitating symptoms and cognitive impairment have an increased risk for developing severe POC.

Background Advanced ovarian cancer is managed by extensive surgery, which could be associated with high morbidity. A personalized pre-habilitation strategy combined with an ‘enhanced recovery after surgery’ (ERAS) pathway may decrease post-operative morbidity. Primary Objective To analyze the effects of a combined multi-modal pre-habilitation and ERAS strategy on severe post-operative morbidity for patients with ovarian cancer (primary diagnosis or first recurrence) undergoing cytoreductive surgery. Study Hypothesis A personalized multi-modal pre-habilitation algorithm entailing a physical fitness intervention, nutritional and psycho-oncological support, completed by an ERAS pathway, reduces post-operative morbidity. Trial Design This is a prospective, controlled, non-randomized, open, interventional two-center clinical study. Endpoints will be compared with a three-fold control: (a) historic control group (data from institutional ovarian cancer databases); (b) prospective control group (assessed before implementing the intervention); and (c) matched health insurance controls. Inclusion Criteria Patients with ovarian, fallopian, or primary peritoneal cancer undergoing primary surgical treatment (primary ovarian cancer or first recurrence) can be included. The intervention group receives an additional multi-level study treatment: (1) standardized frailty assessment followed by (2) a personalized tri-modal pre-habilitation program and (3) peri-operative care according to an ERAS pathway. Exclusion Criteria Inoperable disease or neoadjuvant chemotherapy, simultaneous diagnosis of simultaneous primary tumors, in case of interference with the overall prognosis (except for breast cancer); dementia or other conditions that impair compliance or prognosis. Primary Endpoint Reduction of severe post-operative complications (according to Clavien– Dindo Classification (CDC) III–V) within 30 days after surgery. Sample Size Intervention group (n=414, of which approximately 20% insure with the participating health insurance); historic control group (n=198); prospective control group (n=50), health insurance controls (for those intervention patients who are members of the participating health insurance). Estimated Dates for Completing Accrual and Presenting Results The intervention phase started in December 2021 and will continue until June 2023. As of March 2023, 280 patients have been enrolled in the intervention group. The expected completion of the entire study is September 2024. Trial Registration NCT05256576.