Surgically modifiable factors measured by computer-navigation together with patient-specific factors predict knee society score after total knee arthroplasty.
BMC Musculoskelet Disord
; 17: 78, 2016 Feb 13.
Article
in En
| MEDLINE
| ID: mdl-26873695
ABSTRACT
BACKGROUND:
The purpose was to investigate whether patient-specific factors (PSF) and surgically modifiable factors (SMF), measured by means of a computer-assisted navigation system, can predict the Knee Society Scores (KSS) after total knee arthroplasty (TKA).METHODS:
Data from 99 patients collected during a randomized clinical trial were used for this secondary data analysis. The KSS scores of the patients were measured preoperatively and at 4-years follow-up. Multiple regression analyses were performed to investigate which combination of variables would be the best to predict the 4-years KSS scores.RESULTS:
When considering SMF alone the combination of four of them significantly predicted the 4-years KSS-F score (p = 0.009), explaining 18 % of its variation. When considering only PSF the combination of age and body weight significantly predicted the 4-years KSS-F (p = 0.008), explaining 11 % of its variation. When considering both groups of predictors simultaneously the combination of three PSF and two SMF significantly predicted the 4-years KSS-F (p = 0.007), explaining 20 % of its variation.CONCLUSIONS:
Younger age, better preoperative KSS-F scores and lower BMI before surgery, a positive tibial component slope and small changes in femoral offset were predictors of better KSS-F scores at 4-years.
Full text:
1
Database:
MEDLINE
Main subject:
Decision Support Techniques
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Arthroplasty, Replacement, Knee
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Osteoarthritis, Knee
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Surgery, Computer-Assisted
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Knee Joint
Type of study:
Clinical_trials
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Diagnostic_studies
/
Etiology_studies
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Prognostic_studies
/
Risk_factors_studies
Limits:
Aged
/
Female
/
Humans
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Male
/
Middle aged
Country/Region as subject:
Europa
Language:
En
Year:
2016
Type:
Article