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Models Stratify Hysterectomy Risk With Benign Conditions

New models are meant to assist clinicians in counseling patients before a hysterectomy surgery.

United statesCity ofUnited kingdomJon ivar einarssonKrupa madhvaniEnglish national health systemLondon school of medicineCanadian medical association journalLondon schoolCanadian medical associationBiggest predictorsUnited kingdom site contentCesarean deliveryCaesarean deliveryCesarean sectionCaesarean section

Online Tool Predicts Complications From Hysterectomy

Researchers have developed multivariable logistic regression models to provide personalized risk estimates that aid in shared decision-making for patients undergoing hysterectomy for benign disease.

United kingdomCity ofJonathan schaffirKrupa madhvaniEnglish national health systemLondon international women health charityBritish society for gynaecological endoscopyCanadian medical association journalRoyal london hospitalMedscape medicalCanadian medical associationGynecology outpatient clinicOhio state university wexner medical centerBritish societyEast london international womenMenstrual disorder

Easy-to-use tool predicts complications in patients undergoing hysterectomy for benign disease

Easy-to-use tool predicts complications in patients undergoing hysterectomy for benign disease
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United kingdomKrupa madhvaniEnglish national health serviceQueen mary university of londonCanadian medical association journalQueen mary university

Predicting major complications in patients undergoing laparoscopic and open hysterectomy for benign indications

Background: Hysterectomy, the most common gynecological operation, requires surgeons to counsel women about their operative risks. We aimed to develop and validate multivariable logistic regression models to predict major complications of laparoscopic or abdominal hysterectomy for benign conditions. Methods: We obtained routinely collected health administrative data from the English National Health Service (NHS) from 2011 to 2018. We defined major complications based on core outcomes for postoperative complications including ureteric, gastrointestinal and vascular injury, and wound complications. We specified 11 predictors a priori. We used internal–external cross-validation to evaluate discrimination and calibration across 7 NHS regions in the development cohort. We validated the final models using data from an additional NHS region. Results: We found that major complications occurred in 4.4% (3037/68 599) of laparoscopic and 4.9% (6201/125 971) of abdominal hysterectomies. Our mo

United kingdomUnited statesWest midlandsUnited kingdom generalCity ofKhalid khanSilvia fernandez garciaBorja fernandez felixKrupa madhvaniBeatriz galindoJavier zamoraEnglish national health serviceData access request serviceClassification of surgical operationsDrug administrationUniversity of granada

Simple prediction tools provide personalized risk estimates for patients undergoing hysterectomy for benign disease

Researchers have developed easy-to-use online prediction tools that provide personalized risk estimates for patients undergoing hysterectomy for benign disease.

United kingdomKrupa madhvaniEmily hendersonEnglish national health serviceQueen mary university of londonCanadian medical association journalQueen mary university