Predictors of oophorectomy in girls hospitalized in Texas with ovarian torsion

Indu S. Pathak, Jade Jurak, Zuber D. Mulla, Sanja Kupesic Plavsic

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

OBJECTIVES: Inconsistent results have been reported by authors of studies of the management of pediatric patients with ovarian torsion (OT). Our objective was to identify predictors of oophorectomy in girls hospitalized throughout Texas with OT. METHODS: The Texas Public Use Data File (years 2013-2014) was queried for the records of girls under the age of 18 years who had a principal or secondary discharge diagnosis of OT (International Classification of Diseases, Ninth Revision, Clinical Modification code 620.5). Adjusted odds ratios were estimated from a logistic regression model by using Firth1s bias-reducing penalized likelihood. Variables for inclusion in the final model were identified by using a directed acyclic graph. RESULTS: A sample of 158 girls was identified with an overall risk of oophorectomy during the hospital stay of 41.1% (65 out of 158). After adjusting for the patient1s age, health insurance status, and the presence of an ovarian cyst, girls who were treated at a nonteaching hospital were more than twice as likely to undergo oophorectomy than girls who were treated at a teaching hospital (odds ratio 5 2.22; 95% confidence interval: 1.05-4.69). CONCLUSIONS: Our analysis of a statewide database revealed that girls with OT who presented at nonteaching hospitals were significantly more likely to undergo oophorectomy compared with girls who presented at teaching hospitals.

Original languageEnglish
Pages (from-to)274-279
Number of pages6
JournalHospital pediatrics
Volume8
Issue number5
DOIs
StatePublished - May 2018
Externally publishedYes

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