Your browser doesn't support javascript.
loading
A clinical prediction rule for predicting a delay in quality of life recovery at 1 month after total knee arthroplasty: A decision tree model.
Tanaka, Shigeharu; Amano, Tetsuya; Uchida, Shigehiro; Ito, Hideyuki; Morikawa, Shinya; Inoue, Yu; Tanaka, Ryo.
Afiliação
  • Tanaka S; Division of Physical Therapy, School of Rehabilitation, Faculty of Health and Social Services, Kanagawa University of Human Services, Yokosuka, Japan; Department of Rehabilitation Science, Kobe University Graduate School of Health Sciences, Kobe, Japan. Electronic address: tanaka-d4k@kuhs.ac.jp.
  • Amano T; Department of Physical Therapy, Faculty of Health and Medical Sciences, Tokoha University, Hamamatsu, Japan.
  • Uchida S; Department of Rehabilitation, Faculty of Rehabilitation, Hiroshima International University, Higashihiroshima, Japan.
  • Ito H; Department of Physical Therapy, Yamaguchi Allied Health College, Yamaguchi, Japan.
  • Morikawa S; Department of Rehabilitation, Hohsyasen Daiichi Hospital, Imabari, Japan.
  • Inoue Y; Research Institute of Health and Welfare, Kibi International University, Takahashi, Japan.
  • Tanaka R; Graduate School of Integrated Arts and Sciences, Hiroshima University, Hiroshima, Japan.
J Orthop Sci ; 26(3): 415-420, 2021 May.
Article em En | MEDLINE | ID: mdl-32507325
ABSTRACT

BACKGROUND:

There is no clinical prediction rule for predicting the prognosis of quality of life after total knee arthroplasty and for assessing its accuracy. The study aimed to develop and assess a clinical prediction rule to predict decline in quality of life at 1 month after total knee arthroplasty.

METHODS:

This study included 116 patients with total knee arthroplasty in Japan. Potential predictors such as sociodemographic factors, medical information, and motor functions were measured. Quality of life was measured using the Japanese Knee Osteoarthritis Measure at 1 day before surgery and 1 month after total knee arthroplasty. The classification and regression tree methodology was used for developing a clinical prediction rule.

RESULTS:

The Japanese Knee Osteoarthritis Measure score pre-total knee arthroplasty (≦34.0 or >34.0) was the best single discriminator. Among those with the Japanese Knee Osteoarthritis Measure score pre-total knee arthroplasty ≦34.0, the next best predictor was knee flexor muscle strength on the affected side (≦0.45 or >0.45 N m/kg). Among those with knee flexor muscle strength on the affected side >0.45, the next predictor was knee flexion range of motion on the affected side (≦132.5°or >132.5°). The area under the receiver operating characteristic curves of the model was 0.805 (95% confidence interval, 0.701-0.909).

CONCLUSIONS:

In this study, 4 variables were selected as the significant predictor. However, the results of knee flexor muscle strength and knee flexion range of motion were paradoxical. This result suggests that it should be careful to perform surgery to the patients with good preoperative knee function. The clinical prediction rule was developed for predicting quality of life decline 1 month after total knee arthroplasty, and the accuracy was moderate. This clinical prediction rule can be used for screening of patients with total knee arthroplasty.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artroplastia do Joelho / Osteoartrite do Joelho Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Artroplastia do Joelho / Osteoartrite do Joelho Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article