Risk factors for septic adverse events and their impact on survival in advanced ovarian cancer patients treated with neoadjuvant chemotherapy and interval debulking surgery

Identification of Ovarian Cancer Patients Most Likely to Achieve Chemotherapy Response Score 3 Following Neoadjuvant Chemotherapy: Development of a Predictive Nomogram

Background: The chemotherapy response score (CRS) system is a reproducible prognostic tool for patients receiving neoadjuvant chemotherapy (NACT) for tubo-ovarian high-grade serous carcinoma (HGSC). Achieving CRS 3 following NACT can be used as a surrogate for progression-free survival (PFS) and overall survival (OS). This study aimed to identify predictors of CRS 3 and develop a predictive nomogram.

Methods: Data were extracted from 106 HGSC patients receiving NACT. Logistic regression was used to identify independent predictors for CRS 3. A nomogram was established based on the multivariate regression model.

Results: All patients received three cycles of NACT, and CRS 3 was observed in 24 (22.6%) patients. Compared with patients in the CRS 1–2 group, patients in the CRS 3 groups had significantly improved PFS (log-rank test P < 0.0001). The multivariate regression analysis identified post-NACT CA125, percent decrease in CA125, post-NACT human epididymis protein 4 (HE4), and post-NACT hemoglobin level as independent predictors of CRS 3. The Hosmer-Lemeshow test showed goodness-of-fit of this regression model (P = 0.272). The nomogram including these factors presented good discrimination (area under the curve = 0.82), good calibration (mean absolute error = 0.039), and a net benefit within the threshold probabilities of CRS 3 > 5%.

Conclusions: We validated the prognostic role of the CRS system and developed a nomogram that predicts the possibility of CRS 3 following NACT. The nomogram helps to identify patients who would benefit the most from NACT. More studies are warranted to validate this model.

Risk factors for bloodstream infections in gynecological cancer

OBJECTIVE

Infections are a threat to frail patients as they have a higher risk of developing serious complications from bloodstream pathogens. The aim of this study was to determine which factors can predict or diagnose bloodstream infections in patients with an underlying gynecologic malignancy.

MATERIALS AND METHODS

Between July 2016 and December 2017, 68 patients visiting the emergency room with an underlying gynecologic malignancy were evaluated. Variables concerning underlying disease, invasive procedures, and laboratory and clinical parameters were analyzed. Patients were divided into three groups based on their blood and urine specimens (positive blood specimens, positive urine specimens, and no positive specimens; patients who had both positive blood and urine specimens were included in the group of positive blood specimens). Risk factors for surgical site infections, recent (<30 days) surgery, and chemotherapy were studied separately.

RESULTS

68 patients were included in the analysis. Mean age was 55.6 years (standard deviation 14.1). 44% of patients had ovarian cancer, 35% cervical cancer, 12% endometrial cancer, and 9% had other cancer types. In total, 96% of all patients had undergone surgery. Patients who had been treated with chemotherapy were at a higher risk of developing bloodstream infection (P=0.04; odds ratio (OR)=7.9). C reactive protein, bilirubin, and oxygen saturation (SO2) were significantly different between patients with an underlying infection and those who had none. Only C reactive protein maintained its significance in a linear model, with a cut-off of 180 mg/L (linear regression, P=0.03; OR=4).

CONCLUSIONS

Chemotherapy is a risk factor for the development of bloodstream infections in patients with an underlying gynecologic malignancy; C reactive protein could be a useful tool in making this diagnosis.