| Literature DB >> 34924013 |
Yinuo Fan1, Weifeng Li1, Yunlong Wu1, Ruoyu Li2, Guoju Hong3,4, Zhongfeng Li1, Lixin Chen1, Hanjun Fang2, Chi Zhou5, Wei He6, Zhenqiu Chen7.
Abstract
BACKGROUND: Bernese periacetabular osteotomy (PAO) is an effective treatment for patients with developmental dysplasia of the hip (DDH). PAO has been widely used in China, but few follow-up outcomes have been reported in the international community. Moreover, the risk factors affecting patient-reported outcomes have not been discussed in recent studies. In this study, patient-reported outcomes after PAO were reported, and risk factors affecting patient-reported outcomes were analyzed.Entities:
Keywords: Bernese periacetabular osteotomy; Multivariate logistic regression analysis; Patient-reported outcomes; Receiver operating characteristic curve
Mesh:
Year: 2021 PMID: 34924013 PMCID: PMC8684642 DOI: 10.1186/s13018-021-02858-9
Source DB: PubMed Journal: J Orthop Surg Res ISSN: 1749-799X Impact factor: 2.359
Fig. 1Flowchart of screening cases
Patient characteristics
| Characteristic | |
|---|---|
| Number of patients (hips) | 59 (66) |
| Age† (year) | 33.61 ± 9.31(18–54) |
| Females (no. [%]) | 42(71.2%) |
| Time to latest follow-up (yr)† | 3.01 ± 1.19(1–6) |
| Height‡ (m) | 1.60 ± 0.07 |
| Weight‡ (kg) | 57.79 ± 7.87 |
| Body Mass Index, BMI‡ (kg/m2) | 22.37 ± 1.84 |
| HHS | |
| Preoperative‡ | 61.00 ± 16.16 |
| Postoperative‡ | 80.65 ± 7.14 |
| | < 0.001 |
| iHOT-12 | |
| Preoperative‡ | 60.94 ± 22.41 |
| Postoperative‡ | 87.11 ± 19.98 |
| P value | < 0.001 |
†The values are given as the mean and the standard deviation, with the range in parentheses
‡The values are given as the mean and the standard deviation
Patient-reported outcomes at latest follow-up
| Hips. n | Mean postoperative HHS (SD) | Time to the latest follow-up of HHS (SD)* | Hips. n | Mean postoperative iHOT-12 (SD) | Time to the latest follow-up of iHOT-12 (SD)* | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hips group | < 0.001 | 0.181 | < 0.001 | 0.016 | ||||||
| Preserved group | 40 | 85.33 ± 3.79 | 3.13(1.21) | 46 | 95.80(13.88) | 3.20(1.25) | ||||
| Symptomatic group | 26 | 73.46 ± 4.63 | 2.71(1.28) | 20 | 67.10(17.48) | 2.42(1.08) |
*Time of patient-reported outcomes obtained at the latest follow-up
†Independent samples t-tests
Fig. 2The progression of osteoarthritis according to the Tönnis classification
Patient characteristics of cohort
| Radiographic parameters | No. (HHS) | No. (iHOT12) | ||||
|---|---|---|---|---|---|---|
| Preserved (n = 40 hips) | Symptomatic (n = 26 hips) | Preserved (n = 46 hips) | Symptomatic (n = 20 hips) | |||
| Preoperative radiographic parameters | ||||||
| Acetabular coverage ratio < 75% | 40 (100%) | 23 (88%) | 0.111 | 46 (100%) | 17(85%) | 0.025 |
| Sharp angle > 40° | 39 (98%) | 25 (96%) | 1.000 | 44 (96%) | 20 (100%) | 1.000 |
| LCEA | 0.108 | 0.128 | ||||
| < 5° | 15 (38%) | 5 (19%) | 16 (35%) | 4 (20%) | ||
| 5°–20° | 21 (53%) | 14 (54%) | 25 (54%) | 10 (50%) | ||
| > 20° | 4 (10%) | 7 (27%) | 5 (11%) | 6 (30%) | ||
| Tönnis angle > 10° | 39 (98%) | 25 (96%) | 1.000 | 45 (98%) | 19 (95%) | 0.517 |
| Joint congruency poor or fair | 11 (28%) | 18 (69%) | 0.001 | 13 (28%) | 16 (80%) | 0.000 |
| Postoperative radiographic parameters | ||||||
| Acetabular coverage ratio > 75% | 40 (100%) | 26 (100%) | 1.000 | 46 (100%) | 20 (100%) | 1.000 |
| Sharp angle < 40° | 36 (90%) | 25 (96%) | 0.655 | 42 (91%) | 19 (95%) | 0.988 |
| LCEA | 0.000 | 0.001 | ||||
| < 20° | 0 | 1 (4%) | 1 (2%) | 0 | ||
| 20°–38° | 27 (68%) | 5 (19%) | 29 (63%) | 3 (15%) | ||
| > 38° | 13 (33%) | 20 (77%) | 16 (35%) | 17 (85%) | ||
| Tönnis angle | 0.012 | 0.011 | ||||
| 0°–10° | 25 (63%) | 13 (50%) | 30 (65%) | 8 (40%) | ||
| − 10°–0° | 14 (35%) | 6 (23%) | 14 (30%) | 6 (30%) | ||
| < − 10° | 1 (3%) | 7 (27%) | 2 (4%) | 6 (30%) | ||
| Joint congruency poor or fair | 7 (18%) | 8 (31%) | 0.209 | 9 (20%) | 6 (30%) | 0.542 |
†Based on univariable comparisons between preserved and symptomatic hips
Radiographic correction
| Characteristic | Mean (SD)* | ||
|---|---|---|---|
| Preoperative | Postoperative | ||
| Acetabular coverage ratio | 0.58 ± 0.14 | 0.90 ± 0.09 | < 0.001 |
| Sharp angle (°) | 47.78 ± 4.33 | 33.86 ± 4.34 | < 0.001 |
| LCEA (°) | 9.02 ± 13.08 | 38.02 ± 8.28 | < 0.001 |
| Tönnis angle (°) | 22.82 ± 9.45 | 0.07 ± 7.13 | < 0.001 |
*The values are given as the mean and the standard deviation
†Based on univariable comparisons between preoperative and postoperative outcome
Fig. 3Female, 46 years. a Preoperative X-ray. b Postoperative X-ray. The preoperative LCEA was 24°, and the postoperative LCEA was adjusted to 55°. The preoperative HHS (iHOT-12) was 67 (58), and the postoperative HHS was 73 (70). The MCID of HHS (iHOT-12) was 6 (12)
The multivariate logistic regression analysis
| Variable | HHS‡ | iHOT12‡ | ||
|---|---|---|---|---|
| OR (95% CI) | P value | OR (95% CI) | P value | |
| Postoperative LCEA* | 0.013 | 0.042 | ||
| < 20° | 1.000 | 1.000 | ||
| > 38° | 16.093(2.520–102.788) | 0.003 | 10.854(1.696–69.475) | 0.012 |
| Postoperative Tönnis angle† | 0.023 | 0.17 | ||
| < − 10° | 0.925 | |||
| − 10°–0° | 0.087 (0.012–0.656) | 0.018 | ||
| Preoperative joint congruency poor or fair | 4.793 (1.137–20.214) | 0.004 | 8.960 (1.892–42.442) | 0.006 |
*The statistical results of < 20° and > 38° in postoperative LCEA were compared with 20°–38°
†The statistical results of < − 10°and −10°–0° in postoperative LCEA were compared with 0°–10°
‡Using HHS and iHOT12 as the outcome indicators, respectively
Prognostic values of postoperative Tönnis angle, LCEA and
| Cutoff value | AUC (%) | Specificity/sensitivity | Youden’s index | |
|---|---|---|---|---|
| HHS* | ||||
| LCEA | 38.2 | 71.1 | 70%/77% | 0.47 |
| Tönnis angle | − 9 | 62.8 | 95%/69% | 0.64 |
| Joint congruency | – | 70.9 | 72.5%/69.2% | 0.417 |
| iHOT12† | ||||
| LCEA | 38.2 | 75.0 | 67%/85% | 0.52 |
| Tönnis angle | − 9 | 68.3 | 94%/65% | 0.59 |
| Joint congruency | – | 75.9 | 94%/71.7% | 0.657 |
*ROC analysis with HHS as the outcome indicator
ROC analysis with iHOT12 as the outcome indicator
‡Joint congruency was divided into two variables, namely joint congruency poor or fair and joint congruency excellent or good. The cutoff cannot be calculated for binary variables