| Literature DB >> 31788171 |
Chloe Xiaoyun Chan1, Youheng Ou Yang1, Gloria Hui Min Cheng1, Sumanth Kumar Gera1, Ashik Bin Zainuddin Mohammad1.
Abstract
BACKGROUND: Prophylactic pinning of the uninvolved side after unilateral slipped capital femoral epiphysis (SCFE) is controversial. The alpha angle, a measurement of femoral head-neck aspherity, was proposed as a predictor of progression of contralateral SCFE with a treatment threshold of greater than 50.5°. The aim of this study was to evaluate its validity in our cohort of patients.Entities:
Keywords: Alpha angle; Bilateral progression; Hip; Slipped capital femoral epiphysis
Mesh:
Year: 2019 PMID: 31788171 PMCID: PMC6867914 DOI: 10.4055/cios.2019.11.4.466
Source DB: PubMed Journal: Clin Orthop Surg ISSN: 2005-291X
Fig. 1Measurement of the alpha angle.
Demographic Characteristics and Alpha Angle Values of Patients
| Variable | Unilateral slip | Contralateral progression | |
|---|---|---|---|
| Sex | 0.34 | ||
| Total | 36 | 7 | |
| Male | 27 (75.0) | 4 (57.0) | |
| Female | 9 (25.0) | 3 (43.0) | |
| Age at diagnosis (yr) | |||
| Total | 12.2 ± 1.79 (6–15) | 12.3 ± 1.70 (9–14) | 0.31 |
| Male | 12.6 ± 1.78 (6–15) | 12.6 ± 0.96 (12–14) | 0.40 |
| Female | 10.8 ± 0.83 (10–12) | 11.7 ± 2.52 (9–14) | 1.0 |
| Ethnicity | |||
| Chinese | 10 (27.8) | 3 (42.9) | 0.43 |
| Indian | 16 (44.4) | 2 (28.6) | 0.44 |
| Malay | 7 (19.4) | 2 (28.6) | 0.59 |
| Others | 3 (8.3) | 0 | - |
| Site of initial slip | 0.14 | ||
| Left | 16 (44.0) | 1 (14.2) | |
| Right | 20 (56.0) | 6 (85.7) | |
| Loder class | 0.84 | ||
| Stable | 27 (75.0) | 5 (71.4) | |
| Unstable | 9 (25.0) | 2 (28.6) | |
| Medical comorbidity | |||
| Endocrinopathy | 6 (Impaired fasting glucose) | 1 (Type 2 diabetes mellitus) | 0.88 |
| Renal impairment | 0 | 0 | - |
| Radiation exposure | 0 | 0 | - |
| Time to contralateral fixation (wk) | NA | 43.7 (16.2–77) | - |
| Alpha angle (°) | 43.0 ± 4.2 (33.0–52.5) | 50.7 ± 5.4 (43.8–58.5) | < 0.001 |
Values are presented as number (%) or mean ± standard deviation (range).
NA: not applicable.
Multivariate Logistic Regression Analysis for Association between Alpha Angle and Other Independent Variables and Contralateral Progression (N = 43)
| Variable | Unilateral slip | Contralateral progression | Odds ratio (95% CI) | |
|---|---|---|---|---|
| Sex | 0.711 | 2.40 (0.02–248.58) | ||
| Male | 27 (75.0) | 4 (57.0) | ||
| Female | 9 (25.0) | 3 (43.0) | ||
| Ethnicity | - | |||
| Chinese | 10 (27.8) | 3 (42.9) | 0.58 | |
| Indian | 16 (44.4) | 2 (28.6) | 1.00 | |
| Malay | 7 (19.4) | 2 (28.6) | 1.00 | |
| Others | 3 (8.3) | 0 | 1.00 | |
| Medical comorbidity | 12.6 (0–752,897.23) | |||
| Endocrinopathy | 6 (Impaired fasting glucose) | 1 (Type 2 diabetes mellitus ) | 0.65 | |
| Renal impairment | 0 | 0 | - | |
| Radiation exposure | 0 | 0 | - | - |
| Alpha angle (°) | 43.0 ± 4.2 (33.0–52.5) | 50.7 ± 5.4 (43.8–58.5) | 0.02 | 2.19 (1.13–4.26) |
Values are presented as number (%) or mean ± standard deviation (range).
Fig. 2The receiver operating characteristic (ROC) curve for alpha angle with respect to contralateral progression.
Comparison of Data with Those of Boyle et al22) on Alpha Angle and Slipped Capital Femoral Epiphysis
| Variable | This study | Boyle et al. |
|---|---|---|
| Year of publication | 2019 | 2016 |
| Study setting | Singapore | USA |
| Total no. of patients | 43 | 168 |
| Male sex (%) | 72.1 | 56.0 |
| Age at diagnosis (yr) | ||
| Unilateral | 12.2 ± 1.79 | 12.2 ± 1.52 |
| Contralateral progression | 12.3 ± 1.70 | 12.2 ± 1.50 |
| No. of patients | ||
| Unilateral | 36 | 123 |
| Contralateral progression | 7 (16.3) | 45 (26.8) |
| Average posterior sloping angle (°) | ||
| Unilateral | 43.0 ± 4.2 | 44.9 ± 5.3 |
| Contralateral progression | 50.7 ± 5.4 | 50.6 ± 8.8 |
| Treatment threshold (°) | 49.0 | 50.5 |
| Area under the ROC curve | 0.88 | 0.68 |
| Number needed to treat | 1.7 | 2.7 |
| Predicted sensitivity | 0.71 | 0.58 |
| Predicted specificity | 0.89 | 0.85 |
Values are presented as mean ± standard deviation or number (%).
ROC curve: receiver operating characteristic curve.