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Acta Orthop ; 89(6): 597-602, 2018 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-30350742

RESUMO

Background and purpose - Little is known about heterogeneity in early recovery after primary total hip arthroplasty (THA). Therefore, we characterized subgroups of patients according to their hip function trajectory during the first 6 weeks after THA in a fast-track setting. Patients and methods - 94 patients (median age 65 years [41-82], 56 women) from a single hospital participated in a diary study. Patients recorded their severity of hip problems (Oxford Hip Score, OHS) weekly for 6 weeks after THA. Latent class growth modelling (LCGM) was used to identify patients with the same hip function trajectory and to compare these subgroups on patient characteristics. Results - LCGM revealed a fast (n = 17), an average (n = 53), and a slow (n = 24) recovery subgroup. Subgroups differed on the estimated weekly growth rate during the first 2 weeks (fast: 9.5; average: 5.3; slow: 2.7), with fewer differences between groups in the last 4 weeks (fast: 0.90; average: 2.0; slow: 1.7). Patients in the slow recovery group could be characterized as women of older age (mean age =69) who rated their health as lower preoperatively, needed more assistance during recovery, and were less satisfied with the outcomes of the surgery. Interpretation - We identified distinct recovery trajectories in the first 6 weeks after fast-track primary THA which were associated with patient characteristics.


Assuntos
Artroplastia de Quadril/reabilitação , Osteoartrite do Quadril/reabilitação , Adulto , Idoso , Idoso de 80 Anos ou mais , Artroplastia de Quadril/estatística & dados numéricos , Feminino , Humanos , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Países Baixos , Osteoartrite do Quadril/cirurgia , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Satisfação do Paciente , Cuidados Pós-Operatórios/estatística & dados numéricos , Estudos Prospectivos , Recuperação de Função Fisiológica
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