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Archives of physical medicine and rehabilitation · 2019

Predicting Mobility Limitations in Patients With Total Knee Arthroplasty in the Inpatient Setting.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Chew Eleanor Shu-Xian, Yeo Seng-Jin, Haines Terry, Thumboo Julian, Clark Ross Allan, Chong Hwei-Chi, Poon Cheryl Lian Li, Seah Felicia Jie-Ting, Tay Darren Keng Jin, Pang Nee Hee, Tan Celia Ia Choo, Pua Yong-Hao

Аннотация

OBJECTIVE: To develop a prediction model for postoperative day 3 mobility limitations in patients undergoing total knee arthroplasty (TKA).

DESIGN: Prospective cohort study.

SETTING: Inpatients in a tertiary care hospital.

PARTICIPANTS: A sample of patients (N=2300) who underwent primary TKA in 2016-2017.

INTERVENTIONS: Not applicable.

MAIN OUTCOME MEASURE: Candidate predictors included demographic variables and preoperative clinical and psychosocial measures. The outcome of interest was mobility limitations on post-TKA day 3, and this was determined a priori by an ordinal mobility outcome hierarchy based on the type of the gait aids prescribed and the level of physiotherapist assistance provided. To develop the model, we fitted a multivariable proportional odds regression model with bootstrap internal validation. We used a model approximation approach to create a simplified model that approximated predictions from the full model with 95% accuracy.

RESULTS: On post-TKA day 3, 11% of patients required both walkers and therapist assistance to ambulate safely. Our prediction model had a concordance index of 0.72 (95% confidence interval, 0.68-0.75) when evaluating these patients. In the simplified model, predictors of greater mobility limitations included older age, greater walking aid support required preoperatively, less preoperative knee flexion range of movement, low-volume surgeon, contralateral knee pain, higher body mass index, non-Chinese race, and greater self-reported walking limitations preoperatively.

CONCLUSION: We have developed a prediction model to identify patients who are at risk for mobility limitations in the inpatient setting. When used preoperatively as part of a shared-decision making process, it can potentially influence rehabilitation strategies and facilitate discharge planning.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты