An orthopaedic intelligence application successfully integrates data from a smartphone-based care management platform and a robotic knee system using a commercial database.
Int Orthop
; 47(2): 485-494, 2023 02.
Article
em En
| MEDLINE
| ID: mdl-36508053
ABSTRACT
PURPOSE:
To evaluate the feasibility of using a smartphone-based care management platform (sbCMP) and robotic-assisted total knee arthroplasty (raTKA) to collect data throughout the episode-of-care and assess if intra-operative measures of soft tissue laxity in raTKA were associated with post-operative outcomes.METHODS:
A secondary data analysis of 131 patients in a commercial database who underwent raTKA was performed. Pre-operative through six week post-operative step counts and KOOS JR scores were collected and cross-referenced with intra-operative laxity measures. A Kruskal-Wallis test or a Wilcoxon sign-rank was used to assess outcomes.RESULTS:
There were higher step counts at six weeks post-operatively in knees with increased laxity in both the lateral compartment in extension and medial compartment in flexion (p < 0.05). Knees balanced in flexion within < 0.5 mm had higher KOOS JR scores at six weeks post-operative (p = 0.034) compared to knees balanced within 0.5-1.5 mm.CONCLUSION:
A smartphone-based care management platform can be integrated with raTKA to passively collect data throughout the episode-of-care. Associations between intra-operative decisions regarding laxity and post-operative outcomes were identified. However, more robust analysis is needed to evaluate these associations and ensure clinical relevance to guide machine learning algorithms.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Ortopedia
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Artroplastia do Joelho
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Osteoartrite do Joelho
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Procedimentos Cirúrgicos Robóticos
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article