| Literature DB >> 32285736 |
Georgios Tsikandylakis1,2,3, Johan N Kärrholm1,2,3, Geir Hallan4,5, Ove Furnes4,5, Antti Eskelinen6,7, Keijo Mäkelä7,8, Alma B Pedersen9,10, Søren Overgaard10,11,12, Maziar Mohaddes1,2,3.
Abstract
Background and purpose - 32-mm heads are widely used in total hip arthroplasty (THA) in Scandinavia, while the proportion of 36-mm heads is increasing as they are expected to increase THA stability. We investigated whether the use of 36-mm heads in THA after proximal femur fracture (PFF) is associated with a lower risk of revision compared with 32-mm heads.Patients and methods - We included 5,030 patients operated with THA due to PFF with 32- or 36-mm heads from the Nordic Arthroplasty Register Association database. Each patient with a 36-mm head was matched with a patient with a 32-mm head, using propensity score. The patients were operated between 2006 and 2016, with a metal or ceramic head on a polyethylene bearing. Cox proportional hazards models were fitted to estimate the unadjusted and adjusted hazard ratio (HR) with 95% confidence intervals (CI) for revision for any reason and revision due to dislocation for 36-mm heads compared with 32-mm heads.Results - 36-mm heads had an HR of 0.9 (CI 0.7-1.2) for revision for any reason and 0.8 (CI 0.5-1.3) for revision due to dislocation compared with 32-mm heads at a median follow-up of 2.5 years (interquartile range 1-4.4).Interpretation - We were not able to demonstrate any clinically relevant reduction of the risk of THA revision for any reason or due to dislocation when 36-mm heads were used versus 32-mm. Residual confounding due to lack of data on patient comorbidities and body mass index could bias our results.Entities:
Mesh:
Year: 2020 PMID: 32285736 PMCID: PMC8023875 DOI: 10.1080/17453674.2020.1752559
Source DB: PubMed Journal: Acta Orthop ISSN: 1745-3674 Impact factor: 3.717
Figure 1.Use of 32- and 36-mm heads in MoXLPE and CoXLPE THA after proximal femur fracture in NARA database.
Figure 2.Flowchart of the selection and matching process.
Descriptive statistics of study population before propensity score matching. Values number (%) unless otherwise specified
| 32-mm head | 36-mm head | ||
|---|---|---|---|
| (n = 8,957) | (n = 3,519) | ASDM a | |
| Follow-up, years b | 2.4 (1.0–4.4) | 2.3 (1.0–4.0) | 0.1 |
| Mortality | 1,702 (19) | 621 (18) | 0.04 |
| Age (standard deviation) | 73 (10) | 70 (11) | 0.2 |
| Year of surgery b | 2013 | 2014 | 0.1 |
| (2011–2015) | (2012–2015) | ||
| Female sex | 6,266 (70) | 1,812 (52) | 0.4 |
| Cemented THA | 6,276 (70) | 813 (23) | 0.6 |
| Cementless THA | 1,219 (14) | 1,729 (50) | 0.7 |
| Hybrid THA | 430 (5) | 885 (25) | 0.5 |
| Reverse hybrid | 1,032 (12) | 92 (3) | 0.6 |
| MoXLPE c | 7,954 (89) | 3,083 (88) | 0.04 |
| CoXLPE d | 1,003 (11) | 436 (12) | 0.04 |
| Posterior approach | 3,912 (44) | 2,599 (74) | 0.7 |
Absolute standardized difference in means.
Median (interquartile range).
Metal head on cross-linked polyethylene.
Ceramic head on cross-linked polyethylene.
Descriptive statistics of study population after propensity score matching. Values number (%) unless otherwise specified
| 32-mm head | 36-mm head | ||
|---|---|---|---|
| (n = 2,515) | (n = 2,515) | ASDM | |
| Follow-up, years | 2.4 (0.9–4.4) | 2.6 (1.1–4.3) | 0.03 |
| Mortality | 477 (19) | 507 (20) | 0.03 |
| Age (standard deviation) | 70 (11) | 71 (11) | 0.07 |
| Year of surgery | 2013 | 2013 | 0.05 |
| (2011–2015) | (2011–2015) | ||
| Female sex | 1,570 (62) | 1,453 (58) | 0.09 |
| Cemented THA | 823 (33) | 813 (32) | 0.02 |
| Cementless THA | 1,148 (46) | 1,068 (43) | 0.06 |
| Hybrid THA | 428 (17) | 542 (22) | 0.1 |
| Reverse hybrid | 116 (5) | 92 (4) | 0.06 |
| MoXLPE | 2,108 (84) | 2,152 (86) | 0.06 |
| CoXLPE | 407 (16) | 363 (14) | 0.05 |
| Posterior approach | 1724 (69) | 1705 (68) | 0.02 |
See Table 1.
Figure 4.A directed acyclic graph (DAG) was constructed under the following assumptions:
1) THA ‘revision’ is dependent on ‘head size’, ‘patient age’, ‘sex’, ‘year of surgery’, surgical ‘approach’, and type of THA ‘fixation’. Choice of ‘head material’ is not expected to affect ‘revision’ due to the short follow-up of the study.
2) Choice of ‘head size’ is dependent on ‘approach’, ‘year of surgery’, ‘sex’, and ‘patient age’ as surgeons operating on older patients through a posterior approach have presumably chosen a larger head in order to, hopefully, reduce the risk of dislocation. Male patients, operated more recently, have probably received a larger head due to their larger acetabulum and because the use of larger heads has become more popular with time.
3) ‘Fixation’ is dependent on ‘year of surgery’ and ‘age’ because patients operated more recently have probably received an uncemented THA, due to the popularization of this technique, and older patients have probably received a cemented THA due to their poorer bone quality.
4) ‘Head material’ is dependent on ‘head size’ and ‘patient age’ because surgeons have probably chosen ceramic over metal heads in younger patients and when choosing larger heads due to the presumed lower polyethylene wear.
Provided that our assumptions are correct, adjusting for ‘patient age’, ‘sex’, ‘year of surgery’, and ‘approach’ in the multivariable Cox regression model should block all backdoor pathways (for variables available in our database) confounding the effect of ‘head size’ on ‘revision’.
Figure 5.Kaplan–Meier survival function for THA with 32- and 36-mm heads with endpoint revision for any reason (left panel) and revision due to dislocation (right panel).
Kaplan–Meier survival estimates (%) at 1, 3, and 7 years for 32- and 36-mm heads with endpoint revision for any reason
| Follow-up | Patients at risk | Cumulative revisions | Cumulative survival rate (CI) |
|---|---|---|---|
| 32-mm heads | |||
| 1-year | 1,816 | 88 | 95.8 (95.1–96.7) |
| 3-year | 1,032 | 108 | 94.4 (93.4–95.5) |
| 7-year | 223 | 119 | 92.8 (91.2–94.4) |
| 36-mm heads | |||
| 1-year | 1,922 | 87 | 95.9 (95.1–96.7) |
| 3-year | 1,099 | 102 | 95.2 (94.3–96.1) |
| 7-year | 140 | 111 | 93.7 (92.2–95.2) |
CI = 95% confidence intervals.
Cox proportional hazards models with endpoint revision for any reason and due to dislocation
| Outcome Head size | Univariable model HR (CI) | Multivariable model HR (CI) |
|---|---|---|
| Revision for any reason | ||
| 32-mm | 1 | 1 |
| 36-mm | 0.9 (0.7–1.2) | 0.9 (0.7–1.2) |
| Revision due to dislocation | ||
| 32-mm | 1 | 1 |
| 36-mm | 0.8 (0.5–1.3) | 0.8 (0.5–1.3) |
The multivariable model was adjusted for patient age, sex, year of surgery, and type of surgical approach.
HR (CI) = Hazard ratio (95% confidence interval)
Kaplan–Meier survival estimates (%) at 1, 3, and 7 years for 32- and 36-mm heads with endpoint revision due to dislocation
| Follow-up | Patients at risk | Cumulative revisions | Cumulative survival rate (CI) |
|---|---|---|---|
| 32-mm heads | |||
| 1-year | 1,816 | 33 | 98.4 (97.9–98.9) |
| 3-year | 1,032 | 39 | 98.1 (97.6–98.7) |
| 7-year | 223 | 40 | 97.8 (97.0–98.7) |
| 36-mm heads | |||
| 1-year | 1,922 | 28 | 98.7 (98.2–99.2) |
| 3-year | 1,099 | 31 | 98.6 (98.2–99.1) |
| 7-year | 140 | 33 | 98.3 (97.6–99.0) |
CI = 95% confidence intervals.