Factors associated with 30-day hospital readmission after hysterectomy. 2015

Kimberly Dessources, and June Y Hou, and Ana I Tergas, and William M Burke, and Cande V Ananth, and Eri Prendergast, and Ling Chen, and Alfred I Neugut, and Dawn L Hershman, and Jason D Wright
Departments of Obstetrics and Gynecology and Medicine and the Herbert Irving Comprehensive Cancer Center, Columbia University College of Physicians and Surgeons, the Department of Epidemiology, Mailman School of Public Health, Columbia University, and New York Presbyterian Hospital, New York, New York; and the Department of Obstetrics and Gynecology, University of California-Los Angeles, Los Angeles, California.

OBJECTIVE To analyze factors associated with 30-day readmission among women who underwent hysterectomy for uterine cancer and benign indications. METHODS We used the National Surgical Quality Improvement Project database to perform a cohort study of women who underwent hysterectomy from 2011 to 2012. Patients were stratified by surgical indication (uterine cancer or benign indications). Multivariable logistic regression models were constructed to determine factors associated with 30-day readmission. Model fit statistics were used to evaluate the importance of demographic factors, preoperative comorbidities, and postoperative complications on readmission. RESULTS The rate of 30-day readmission was 6.1% among 4,725 women with uterine cancer and 3.4% after hysterectomy for benign gynecologic disease in 36,471 patients. In a series of multivariable models, postoperative complications including wound complications, infections, and pulmonary emboli and myocardial infarctions were the factors most strongly associated with readmission. Compared with women without a complication, complications increased the readmission rate from 2.5 to 20.3% for women with uterine cancer and from 1.5 to 15.1% for those without cancer. Among women with uterine cancer, postoperative complications explained 34.3% of the variance in readmission compared with 5.9% for demographic factors and 2.2% for preoperative comorbidities. For patients with benign diseases, complications accounted for 32.1%, preoperative conditions 1.2%, and demographic factors 2.5% of the variance in readmission. CONCLUSIONS Efforts to reduce readmission should be directed at initiatives to reduce complications and improve the care of women who experience a complication.

UI MeSH Term Description Entries
D007044 Hysterectomy Excision of the uterus. Hysterectomies
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D010359 Patient Readmission Subsequent admissions of a patient to a hospital or other health care institution for treatment. Hospital Readmission,Rehospitalization,Unplanned Hospital Readmissions,Unplanned Readmission,30 Day Readmission,Hospital Readmissions,Readmission, Hospital,Readmissions, Hospital,Thirty Day Readmission,30 Day Readmissions,Hospital Readmission, Unplanned,Hospital Readmissions, Unplanned,Readmission, Patient,Readmission, Thirty Day,Readmission, Unplanned,Rehospitalizations,Thirty Day Readmissions,Unplanned Hospital Readmission,Unplanned Readmissions
D011183 Postoperative Complications Pathologic processes that affect patients after a surgical procedure. They may or may not be related to the disease for which the surgery was done, and they may or may not be direct results of the surgery. Complication, Postoperative,Complications, Postoperative,Postoperative Complication
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D015331 Cohort Studies Studies in which subsets of a defined population are identified. These groups may or may not be exposed to factors hypothesized to influence the probability of the occurrence of a particular disease or other outcome. Cohorts are defined populations which, as a whole, are followed in an attempt to determine distinguishing subgroup characteristics. Birth Cohort Studies,Birth Cohort Study,Closed Cohort Studies,Cohort Analysis,Concurrent Studies,Historical Cohort Studies,Incidence Studies,Analysis, Cohort,Cohort Studies, Closed,Cohort Studies, Historical,Studies, Closed Cohort,Studies, Concurrent,Studies, Historical Cohort,Analyses, Cohort,Closed Cohort Study,Cohort Analyses,Cohort Studies, Birth,Cohort Study,Cohort Study, Birth,Cohort Study, Closed,Cohort Study, Historical,Concurrent Study,Historical Cohort Study,Incidence Study,Studies, Birth Cohort,Studies, Cohort,Studies, Incidence,Study, Birth Cohort,Study, Closed Cohort,Study, Cohort,Study, Concurrent,Study, Historical Cohort,Study, Incidence

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