Results 171 to 180 of about 76,892 (316)

Lower synovial leucocyte count and polymorphonuclear percentage reliably differentiate periprosthetic joint infection after unicompartmental knee arthroplasty

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose This study aimed to determine diagnostic thresholds for synovial fluid leucocyte count and polymorphonuclear (PMN) percentage to identify the diagnosis periprosthetic joint infection (PJI) in patients with failed unicompartmental knee arthroplasties (UKAs).
Stefanie Donner   +7 more
wiley   +1 more source

A novel knee implant for total knee arthroplasty meets expectations at 10 years. First long‐term follow‐up report of clinical outcomes and survivorship

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Achieving a “forgotten knee” after total knee arthroplasty (TKA) remains a primary goal in modern knee replacement surgery. Anatomic implant designs aim to replicate native knee anatomy and kinematics, potentially improving patient satisfaction and functional outcomes.
Alice Montagna   +6 more
wiley   +1 more source

Reduced spinopelvic mobility does not correlate with knee flexion deformity in patients undergoing total knee arthroplasty

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The aim of this study was to evaluate the impact of reduced spinopelvic mobility (SM) on knee flexion deformity (KFD) in patients undergoing total knee arthroplasty (TKA). Methods A retrospective analysis on 213 patients (271 knees) undergoing robotic‐assisted primary TKA was conducted.
Lorenz Pichler   +5 more
wiley   +1 more source

Lower baseline scores best predict achievement of the minimal clinically important difference after hip arthroscopy: A machine learning analysis from the Femoroacetabular Impingement RandomiSed Controlled Trial and embedded prospective cohort

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
ABSTRACT Purpose This analysis evaluated whether logistic regression and machine learning models could predict achievement of the minimal clinically important difference (MCID) for the International Hip Outcome Tool (iHOT‐12) and Hip Outcome Score (HOS) at 6 and 12 months following hip arthroscopy.
Prushoth Vivekanantha   +4 more
wiley   +1 more source

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