Predictors Using Machine Learning of Complete Peroneal Nerve Palsy Recovery After Multiligamentous Knee Injury: A Multicenter Retrospective Cohort Study
Vasavada K, Shankar DS, Bi AS, Moran J, Petrera M, Kahan J, Alaia EF, Medvecky MJ, Alaia MJ. Predictors Using Machine Learning of Complete Peroneal Nerve Palsy Recovery After Multiligamentous Knee Injury: A Multicenter Retrospective Cohort Study. Orthopaedic Journal Of Sports Medicine 2022, 10: 23259671221121410. PMID: 36172267, PMCID: PMC9511346, DOI: 10.1177/23259671221121410.Peer-Reviewed Original ResearchMultiligamentous knee injuriesBody mass indexPN palsyKnee injuriesMale sexMulticenter retrospective cohort studyElevated body mass indexPeroneal nerve palsyRetrospective cohort studyUrban hospital systemCase-control studyLevel of evidenceMagnetic resonance imagingLarge patient data setsNonrecovery groupNerve palsyNerve recoveryPostoperative variablesCohort studyKnee dislocationRetrospective reviewFoot dropMass indexNerve contusionPhysical examination