| Literature DB >> 24954340 |
Seung Hwan Han1, Do Young Park2, Tae Hun Kim3.
Abstract
PURPOSE: The goal of this study was to identify baseline prognostic factors of outcome in ankle osteoarthritis patients after intra-articular hyaluronic acid injection.Entities:
Keywords: Ankle; hyaluronic acid; osteoarthritis; prognosis
Mesh:
Substances:
Year: 2014 PMID: 24954340 PMCID: PMC4075370 DOI: 10.3349/ymj.2014.55.4.1080
Source DB: PubMed Journal: Yonsei Med J ISSN: 0513-5796 Impact factor: 2.759
Fig. 1Histogram of VAS change according to time. (A) Short term changes after intra-articular HA injection. (B) Long term changes after intra-articular HA injection, compared to baseline VAS. Baseline, before injection; Week 1, 1 week after first injection; Week 2, 1 week after second injection; Week 3, 1 week after third injection; VAS, visual analogue scale; HA, hyaluronic acid.
Patient Predictors of Prognosis According to 3 Month VAS Changes
VAS, visual analogue scale; CI, confidence interval.
*50% or more decrease in VAS compared to baseline VAS.
†Negative or no change in VAS, or <50% improvement in VAS compared to baseline VAS.
Patient Predictors of Prognosis According to 6 Month VAS Changes
VAS, visual analogue scale; CI, confidence interval.
*50% or more decrease in VAS compared to baseline VAS.
†Negative or no change in VAS, or <50% improvement in VAS compared to baseline VAS.
Patient Predictors of Prognosis According to 12 Month VAS Changes
VAS, visual analogue scale; CI, confidence interval.
*50% or more decrease in VAS compared to baseline VAS.
†Negative or no change in VAS, or <50% improvement in VAS compared to baseline VAS.
Patient Predictors of Prognosis According to Satisfaction at 12 Months
VAS, visual analogue scale; CI, confidence interval.
*50% or more decrease in VAS compared to baseline VAS.
†Negative or no change in VAS, or <50% improvement in VAS compared to baseline VAS.
Independent Predictors of Prognosis of 'Satisfactory' Results at 12 Months Post-Injection
CI, confidence interval.
Identified using logistic regression analysis.