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CC BY-NC-ND 4.0 · Joints 2019; 07(01): 013-018
DOI: 10.1055/s-0039-1678563
Review Article
Georg Thieme Verlag KG Stuttgart · New York

Modifiable and Nonmodifiable Predictive Factors Associated with the Outcomes of Total Knee Arthroplasty

Davide E. Bonasia
1   Department of Orthopaedics and Traumatology, AO Ordine Mauriziano Hospital, University of Torino, Torino, Italy
,
Anna Palazzolo
1   Department of Orthopaedics and Traumatology, AO Ordine Mauriziano Hospital, University of Torino, Torino, Italy
,
Umberto Cottino
1   Department of Orthopaedics and Traumatology, AO Ordine Mauriziano Hospital, University of Torino, Torino, Italy
,
Francesco Saccia
2   Ospedale Torino Nord Emergenza San Giovanni Bosco, SC Ortopedia e Traumatologia, Torino, Italy
,
Claudio Mazzola
3   Ospedali Galliera Genova, SC Ortopedia delle articolazioni, Genoa, Italy
,
Federica Rosso
1   Department of Orthopaedics and Traumatology, AO Ordine Mauriziano Hospital, University of Torino, Torino, Italy
,
Roberto Rossi
1   Department of Orthopaedics and Traumatology, AO Ordine Mauriziano Hospital, University of Torino, Torino, Italy
› Author Affiliations
Further Information

Publication History

12 September 2017

03 January 2019

Publication Date:
01 February 2019 (online)

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Abstract

Total knee arthroplasty (TKA) is a valuable treatment option for advanced osteoarthritis in patients unresponsive to conservative treatments. Despite overall satisfactory results, the rate of unsatisfied patients after TKA remains high, ranging from 5 to 40%. Different modifiable and nonmodifiable prognostic factors associated with TKA outcomes have been described. The correction, whenever possible, of modifiable factors is fundamental in preoperative patients' optimization protocols. Nonmodifiable factors can help in predicting the outcomes and creating the right expectations in the patients undergoing TKA. The goal of this review is to summarize the modifiable and nonmodifiable prognostic factors associated with TKA outcomes.

Keywords

total knee arthroplasty - predictive factor - prognostic factor - outcome - patient optimization
 

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