首页> 外文期刊>Knee surgery, sports traumatology, arthroscopy: official journal of the ESSKA >Three distinct recovery patterns following primary total knee arthroplasty: dutch arthroplasty register study of 809 patients
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Three distinct recovery patterns following primary total knee arthroplasty: dutch arthroplasty register study of 809 patients

机译:主要全膝关节置换术后三种不同的恢复模式:荷兰关节成形术注册研究809例患者

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Purpose Total knee arthroplasty (TKA) is usually effective, although not all patients have satisfactory outcomes. This assumes distinct recovery patterns might exist. Little attention has been paid to determine which patients have worse outcomes. This study attempts to distinguish specific recovery patterns using the Oxford knee score (OKS) during the first postoperative year. The secondary aim was to explore predictors of less favourable recovery patterns. Methods Analysis of patients in the Dutch Arthroplasty Register (LROI) with unilateral primary TKA. Data collected up to one year postoperative was used. To identify subgroups of patients based on OKS, latent class growth modeling (LCGM) was used. Moreover, multivariable multinomial logistic regression analysis was used to explore predictors of class membership. Results 809 Patients completed three OKS during the first year postoperative and were included. LCGM identified 3 groups of patients; 'high risers' (most improvement during first 6-months, good 12-month scores 77%), 'gradual progressors' (continuous improvement during the first year 13%) and 'non responders' (initial improvement and subsequent deterioration to baseline score 10%). Predictors of least favourable class membership (OR, 95%CI) are EQ-5D items: VAS health score (0.83, 0.73-0.95), selfcare (2.22, 1.09-4.54) and anxiety/depression (2.45, 1.33-4.52). Conclusion Three recovery patterns after TKA were distinguished; 'high risers', 'gradual progressors' and 'non responders'. Worse score on EQ-5D items VAS health, selfcare, and anxiety/depression were correlated with the least favourable 'non responders' recovery pattern.
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