Related Experiment Video
Updated: Feb 7, 2026

Preparation of Mitochondria from Ovarian Cancer Tissues and Control Ovarian Tissues for Quantitative Proteomics Analysis
Published on: November 18, 2019
Predictors of Unplanned Reoperation for Ovarian Cancer Patients From the National Surgical Quality Improvement
Michael D Toboni1, Haller J Smith2, Sejong Bae3
1Department of Obstetrics & Gynecology and Divisions of.
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.
More Related Videos
11:29Surgical Techniques to Optimize Ovarian Reserve during Laparoscopic Cystectomy for Ovarian Endometrioma
Published on: January 22, 2022
10:35An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses
Published on: November 28, 2010
Related Concept Videos
National Nursing Organizations I
National Nursing Organizations II
The AACN emphasizes a healthy work environment through six standards to achieve an optimal patient outcome. The standards are appropriate staffing, meaningful recognition, collaboration, authentic leadership, effective communication, and decision-making. In addition, AACN provides certification programs, webinars, journals, and...
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality Assurance
Quality of Water
Ovarian Cycle