Objective: To identify patients at high risk of delayed in-hospital functional recovery after knee replacement surgery by developing and validating a prediction model, including a combination of preoperative physical fitness parameters and patient characteristics.
Design: Retrospective cohort study using binary logistic regression.
Setting: University hospital, orthopedic department.
Osteoarthritis presents as a change in the chondrocyte phenotype and an imbalance between anabolic and catabolic processes. Age affects its onset and progression. Small nucleolar RNAs (SnoRNAs) direct chemical modification of RNA substrates to fine-tune spliceosomal and rRNA function, accommodating changing requirements for splicing and protein synthesis during health and disease.
View Article and Find Full Text PDFInt J Orthop Trauma Nurs
August 2019
Background: The success of total knee arthroplasty (TKA) is determined by an effective surgical procedure as well as a well-organized clinical care pathway. Research has shown that day-of-surgery mobilization decreases length of stay (LOS) and complication rates. We developed, implemented, and evaluated a new clinical care pathway for patients undergoing TKA, that included early mobilization, using 'Lean Six Sigma (LSS)', with the aim of accelerating functional recovery and reducing LOS.
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