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.
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.
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