| Literature DB >> 35562799 |
Long Yuan1, Shuaishuai Niu2, Chuanxing Zhai1, Sen Li1, Jichao Bian1, Xiaowei Zhao2, Yuanmin Zhang2, Guodong Wang3.
Abstract
PURPOSE: To investigate the effect of the ratio of the medial tibial plateau width to the total tibial plateau width on the therapeutic efficacy of high tibial osteotomy (HTO) on the medial side for the treatment of knee osteoarthritis.Entities:
Keywords: High tibial osteotomy; Lower-limb mechanical axis; Tinetti assessment score
Mesh:
Year: 2022 PMID: 35562799 PMCID: PMC9107279 DOI: 10.1186/s12893-022-01629-5
Source DB: PubMed Journal: BMC Surg ISSN: 1471-2482 Impact factor: 2.102
Fig. 1Screening protocol of the research subjects in this study
Baseline characteristics of participants (N = 278)
| Characteristic | The correction degree tertiles (%) | |||
|---|---|---|---|---|
| T1 (≥ 50.01– < 54.98) | T2 (≥ 54.98– < 59.56) | T3 (≥ 59.56– < 86.02) | ||
| No. of participants | 87 | 96 | 95 | |
| Age (years, mean ± sd) | 58.02 ± 9.01 | 55.41 ± 8.54 | 56.24 ± 8.15 | 0.112 |
| BMI(kg/m2, mean ± sd) | 27.01 ± 2.67 | 27.37 ± 3.35 | 27.32 ± 3.48 | 0.724 |
| Gender (n, %) | 0.682 | |||
| Female | 53 (60.9%) | 59 (61.5%) | 53 (55.8%) | |
| Male | 34 (39.1%) | 37 (38.5%) | 42 (44.2%) | |
| Leg (n, %) | 0.882 | |||
| Right | 44 (50.6%) | 45 (46.9%) | 46 (48.4%) | |
| Left | 43 (49.4%) | 51 (53.1%) | 49 (51.6%) | |
| MPTA(°) | 82.36 ± 3.12 | 83.57 ± 2.05 | 82.55 ± 3.38 | 0.673 |
BMI body mass index, MPTA medical proximal tibial angle
Univariate analysis for Tinetti assessment score/VAS/KSS
| Covariate | Statistics | Tinetti Assessment Score | VAS | KSS | |||
|---|---|---|---|---|---|---|---|
| β (95%CI) | β (95%CI) | β (95%CI) | |||||
| Age (years, mean ± sd) | 56.51 ± 8.60 | 0.01 (− 0.03, 0.04) | 0.7846 | 0.02 (− 0.00, 0.04) | 0.0599 | − 0.01 (− 0.22, 0.21) | 0.9543 |
| Low (n, %) | 93 (33.45%) | Ref. | Ref. | Ref. | |||
| Middle (n, %) | 88 (31.65%) | 0.29 (− 0.53, 1.11) | 0.4887 | 0.24 (− 0.19, 0.67) | 0.2790 | 3.83 (− 0.74, 8.39) | 0.1014 |
| High (n, %) | 97 (34.89%) | 0.40 (− 0.40, 1.20) | 0.3282 | 0.49 (0.06, 0.91) | 0.0251 | − 0.20 (− 4.65, 4.25) | 0.9299 |
| BMI(kg/m2, mean ± sd) | 27.24 ± 3.19 | − 0.14 (− 0.24, − 0.04) | 0.0071 | 0.03 (− 0.02, 0.09) | 0.2591 | 0.28 (− 0.86, 0.30) | 0.3384 |
| Low (n, %) | 90 (32.37%) | Ref. | Ref. | Ref. | |||
| Middle (n, %) | 92 (33.09%) | − 0.25 (− 1.05, 0.56) | 0.5506 | 0.15 (− 0.28, 0.59) | 0.4888 | − 4.26 (− 8.80, 0.29) | 0.0676 |
| High (n,%) | 96 (34.53%) | − 1.10 (− 1.90, − 0.30) | 0.0071 | 0.41 (− 0.02, 0.84) | 0.0618 | − 3.80 (− 8.30, 0.70) | 0.0993 |
| Gender (n, %) | |||||||
| Female | 165 (59.35%) | Ref. | Ref. | Ref. | |||
| Male | 113 (40.65%) | − 0.27 (− 0.94, 0.40) | 0.4232 | 0.06 (− 0.30, 0.42) | 0.7613 | 2.79 (− 0.97, 6.54) | 0.1467 |
| Leg (n, %) | |||||||
| Right | 135 (48.56%) | Ref. | Ref. | Ref. | |||
| Left | 143 (51.44%) | 0.29 (− 0.36, 0.95) | 0.3808 | − 0.19 (− 0.54, 0.16) | 0.2946 | 0.17 (− 3.53, 3.87) | 0.9297 |
| Corrrection degree (%, mean ± sd) | 59.02 ± 7.40 | − 0.22 (− 0.26, − 0.18) | < 0.0001 | 0.05 (0.03, 0.08) | < 0.0001 | − 0.68 (− 0.91, − 0.44) | < 0.0001 |
| 50.01–54.97% | 87 | Ref. | Ref. | Ref. | |||
| 54.98–59.55% | 96 | 1.01 (0.42, 1.60) | 0.0009 | − 0.87 (− 1.24, − 0.50) | < 0.0001 | 15.83 (12.49, 19.18) | < 0.0001 |
| 59.56–86.02% | 95 | − 3.44 (− 4.03, − 2.85) | < 0.0001 | 1.02 (0.64, 1.39) | < 0.0001 | − 9.69 (− 13.04, − 6.33) | < 0.0001 |
Fig. 2Stratified analysis forest plot
Fig. 3Association between the correction degree and Tinetti assessment score/VAS/KSS and association between the BMI and Tinetti assessment score. In each plot, the solid red line represents the smooth curve fit between the variables, while the blue bands represent the 95% confidence interval from the fit. a A threshold, nonlinear association between the correction degree and Tinetti assessment score was detected (P < 0.001) in a generalized additive model (GAM). Adjusted for age, gender; BMI, and leg. b A threshold, nonlinear association between BMI and Tinetti assessment score was detected (P < 0.001) in the GAM. Adjusted for age, gender, the correction degree, and leg. c A threshold, nonlinear association between the correction degree and VAS was detected (P < 0.001) in the GAM. Adjusted for age, gender, BMI, and leg. d A threshold, nonlinear association between the correction degree and KSS was detected (P < 0.001) in the GAM. Adjusted for age, gender, BMI, and leg.
Threshold effect analysis of the correction degree and Tinetti assessment score/VAS/KSS using piecewise linear regression
| Infection point | Effect size (β) | 95%CI | |
|---|---|---|---|
| Tinetti assessment score | |||
| < 53.67 | 0.49 | (0.20, 0.78) | 0.0009 |
| ≥ 53.67 | − 0.26 | (− 0.30, − 0.22) | < 0.0001 |
| VAS | |||
| < 55 | − 0.16 | (− 0.29, − 0.03) | 0.0146 |
| ≥ 55 | 0.08 | (0.05, 0.10) | < 0.0001 |
| KSS | |||
| < 55.45 | 2.77 | (1.64, 3.90) | < 0.0001 |
| ≥ 55.45 | − 1.18 | (− 1.46, − 0.91) | < 0.0001 |
Effect: The correction degree. Cause: Tinetti assessment score/VAS/KSS
All adjusted for age, gender, BMI, and leg