PMID: 32692100Jul 22, 2020Paper

Big Data in Total Shoulder Arthroplasty: An In-depth Comparison of National Outcomes Databases

The Journal of the American Academy of Orthopaedic Surgeons
Yining LuBrian Forsythe

Abstract

The practice of identifying trends in surgical decision-making through large-scale patient databases is commonplace. We hypothesize that notable differences exist between claims-based and prospectively collected clinical registries. We queried the American College of Surgeons National Surgical Quality Improvement Program (NSQIP), a prospective surgical outcomes database, and PearlDiver (PD), a claims-based private insurance database, for patients undergoing primary total shoulder arthroplasties from 2007 to 2016. Comorbidities and 30-day complications were compared. Multiple regression analysis was performed for each cohort to identify notable contributors to 30-day revision surgery. Significant differences were observed in demographics, comorbidities, and postoperative complications for the age-matched groups between PD and NSQIP (P < 0.05 for all). Multiple regression analysis in PD identified morbid obesity and dyspnea to lead to an increased risk for revision surgery (P = 0.001) in the <65 cohort and dyspnea and diabetes to lead to an increased risk for revision surgery in the ≥65 cohort (P = 0.015, P < 0.001). Multiple regression did not reveal any risk factors for revision surgery in the <65 age group for the NSQIP; howev...Continue Reading

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Citations

Aug 9, 2020·Journal of Shoulder and Elbow Surgery·Stephen A ParadaRichard J Friedman
May 4, 2021·The Bone & Joint Journal·Daphne I LingLawrence V Gulotta
Aug 1, 2021·The Spine Journal : Official Journal of the North American Spine Society·Nikita LakomkinScott L Zuckerman

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