Abstract
Aims
To examine the relationship between surgical treatment type (acute total hip arthroplasty (THA) vs open reduction and internal fixation (ORIF)) and in-hospital medical complications in older adult trauma patients with operatively managed acetabulum fractures.
Methods
We conducted a retrospective cohort study of patients aged ≥ 50 years who presented to institutions participating in the Trauma Quality Improvement Program between 1 January 2017 and 31 December 2022, and who underwent acetabulum fracture surgery within three weeks of admission. Our primary outcome was the development of in-hospital medical complications. Secondary outcomes included each medical complication alone, hospital length of stay, and discharge disposition. Acute THA patients were matched 1:1 without replacement to patients treated with ORIF on the logit of the propensity score using a greedy nearest-neighbour matching algorithm. Generalized estimating equations were used to calculate percent absolute risk differences with 95% CIs for categorical outcomes in the propensity score-matched sample. Wilcoxon signed-rank tests were used compare within pair differences in continuous outcomes.
Results
A total of 10,213 patients were included in our study, of which 1,226 (12%) were treated with an acute THA and 8,987 (88%) were treated with ORIF. A total of 1,223 acute THA patients were matched to 1,223 ORIF patients. After matching, there were no meaningful differences in any baseline characteristics between the two treatment groups. There was no difference in the risk of in-hospital complications between patients treated with acute THA (216/1,223 (17.7%) vs patients who were treated with ORIF (201/1,223 (16.4%)) (absolute risk difference 1.23%, 95% CI -1.71 to 4.17, p = 0.414). There were no significant differences in the risk of each complication, length of stay, or discharge disposition.
Conclusion
Our results suggest that acute THA and ORIF demonstrate similar risks of postoperative medical complications among older patients with acetabular fractures.
Cite this article: Bone Jt Open 2026;7(5):643–650.
Keywords: Acetabulum fracture, Total hip arthroplasty, Open reduction internal fixation, Complications, Trauma, acetabulum fractures, open reduction and internal fixation (ORIF), acute total hip arthroplasty, trauma, medical complications, propensity score matching, propensity score, postoperative medical complications, retrospective cohort study, Wilcoxon signed-rank tests
Introduction
Acetabulum fractures are complex intra-articular injuries involving the pelvic portion of the hip joint.1 For surgical candidates, the most common treatment approach involves open reduction and internal fixation (ORIF) to restore hip joint congruency and minimize the risk of developing post-traumatic hip arthritis.1-3 The onset of symptomatic post-traumatic arthritis requiring conversion to a total hip arthroplasty (THA) following ORIF has been estimated to occur in 18% of cases.4 Conversion THA procedures can be complicated by the presence of fixation hardware, heterotopic ossification, and fibrous tissue secondary to the index ORIF, and are associated with an elevated risk of infection and dislocation.5
Advancements in arthroplasty components have prompted increased interest in acetabulum fracture management with THA in the acute setting.2,6,7 A recent study of the Swedish Fracture Register found that 23% of operatively managed acetabulum fractures were treated with an acute THA between 2014 and 2020.8 Acute THA eliminates the risk of post-traumatic arthritis, as the injured hip is replaced with a prosthesis. Additionally, acute THA may accelerate postoperative mobilization, which is crucial in elderly patients.9 However, acute THA may be associated with greater surgical morbidity when compared with ORIF, as prolonged operating times, high rates of blood loss, and greater surgical complexity have been reported.10 It is uncertain whether this translates into differences in perioperative morbidity. To date, most studies have evaluated important implant-related outcomes such as the risk of dislocation,11,12 periprosthetic fractures,12 or reoperation,13-16 while the evidence regarding the perioperative safety of each treatment in elderly trauma patients has predominantly been limited to non-comparative case series or studies with relatively small acute THA samples.17,18
The aim of our study was to examine the relationship between treatment type (THA vs ORIF) and in-hospital medical complications in a sample of adult patients aged over 50 years with operatively managed acetabulum fractures presenting to trauma programmes in North America. We hypothesized that there would be no association between treatment type and the development of in-hospital complications.
Methods
Data source and setting
This investigation was a retrospective cohort study using administrative data from the American College of Surgeons Trauma Quality Improvement Program (TQIP) registry.19 TQIP collects data from patients with severe injuries (abbreviated injury score ≥ 3 in at least one body region) presenting to over 750 participating trauma centres across the USA and Canada.19 TQIP tracks outcomes that occur during trauma-related admissions such as mortality, in-hospital complications, length of stay, and discharge status.20 Data abstraction is completed by trained individuals and quality assurance checks are completed through external inter-rater reliability audits.19 This project was approved by the Unity Health research ethics board (Toronto, Canada). The need for patient-informed consent was waived due to the deidentified nature of the data. This study was reported according to the REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement (Supplementary Material).21
Patient characteristics
At baseline, patients treated with acute THA were older (mean age 67.7 years (SD 9.9) vs 62.1 years (SD 9), standardized difference = 0.6); more likely to be female (40.4% vs 27.1%, standardized difference = 0.28); less likely to be insured by Medicaid (5% vs 10.6%, standardized difference = 0.21); and more likely to identify as White race (85.3% vs 77.4%, standardized difference = 0.2) and non-Hispanic ethnicity (96.2% vs 91.2%, standardized difference = 0.2) (Table I).
Table I.
Baseline characteristics of cohort before and after propensity score matching.
| Characteristic | Before matching | After matching | ||||
|---|---|---|---|---|---|---|
| THA (n = 1,226) |
ORIF (n = 8,987) |
SMD | THA (n = 1,223) |
ORIF (n = 1,223) |
SMD | |
| Demographic characteristics, n (%) unless otherwise specified | ||||||
| Mean age, yrs (SD) | 67.7 (9.9) | 62.1 (9) | 0.6 | 66.8 (10.2) | 67.7 (9.9) | 0.01 |
| Female | 495 (40.4) | 2437 (27.1) | 0.28 | 493 (40.3) | 483 (39.5) | 0.02 |
| Non-White race | 180 (14.7) | 2029 (22.6) | 0.2 | 180 (14.7) | 163 (13.3) | 0.04 |
| Hispanic ethnicity | 47 (3.8) | 790 (8.8) | 0.2 | 47 (3.8) | 56 (4.6) | 0.04 |
| Insurance status | ||||||
| Private insurance | 533 (43.5) | 4496 (50) | 0.13 | 532 (43.5) | 522 (42.7) | 0.02 |
| Medicare | 508 (41.4) | 2282 (25.4) | 0.34 | 506 (41.4) | 510 (41.7) | 0.01 |
| Medicaid | 61 (5) | 948 (10.6) | 0.21 | 61 (5) | 66 (5.4) | 0.02 |
| Self-pay | 43 (3.5) | 646 (7.2) | 0.16 | 43 (3.5) | 39 (3.2) | 0.02 |
| Other | 81 (6.6) | 615 (6.8) | 0.01 | 81 (6.6) | 86 (7) | 0.02 |
| Comorbidities, n (%) unless otherwise specified | ||||||
| Alcohol use disorder | 66 (5.4) | 682 (7.6) | 0.09 | 66 (5.4) | 77 (6.3) | 0.04 |
| Angina | 2 (0.2) | 17 (0.2) | 0.01 | 2 (0.2) | 0 (0) | 0.01 |
| Anticoagulant use | 174 (14.2) | 668 (7.4) | 0.22 | 172 (14.1) | 174 (14.2) | < 0.01 |
| CHF | 64 (5.2) | 276 (3.1) | 0.11 | 63 (5.2) | 67 (5.5) | 0.01 |
| Cirrhosis | 10 (0.8) | 109 (1.2) | 0.04 | 10 (0.8) | 13 (1.1) | 0.03 |
| COPD | 155 (12.6) | 657 (7.3) | 0.18 | 153 (12.5) | 166 (13.6) | 0.03 |
| CVA | 34 (2.8) | 144 (1.6) | 0.08 | 34 (2.8) | 38 (3.1) | 0.02 |
| Dependent functional status | 116 (9.5) | 305 (3.4) | 0.25 | 115 (9.4) | 109 (8.9) | 0.02 |
| Dementia | 58 (4.7) | 130 (1.5) | 0.19 | 57 (4.7) | 55 (4.5) | 0.01 |
| Diabetes | 277 (22.6) | 1799 (20) | 0.06 | 276 (22.6) | 261 (21.3) | 0.03 |
| Disseminated cancer | 11 (0.9) | 36 (0.4) | 0.06 | 11 (0.9) | 13 (1.1) | 0.02 |
| Hypertension | 686 (56) | 3946 (43.9) | 0.24 | 684 (55.9) | 685 (56) | < 0.01 |
| Myocardial infarction | 10 (0.8) | 70 (0.8) | < 0.01 | 10 (0.8) | 16 (1.3) | 0.05 |
| Peripheral arterial disease | 19 (1.6) | 79 (0.9) | 0.06 | 19 (1.6) | 18 (1.5) | 0.01 |
| Mental health disorder | 133 (10.9) | 934 (10.4) | 0.01 | 133 (109) | 139 (11.4) | 0.01 |
| Renal failure | 29 (2.4) | 89 (1) | 0.11 | 28 (2.3) | 25 (2) | 0.02 |
| Smoking | 245 (20) | 2147 (23.9) | 0.09 | 245 (20) | 250 (20.4) | 0.01 |
| Substance misuse | 59 (4.8) | 679 (7.6) | 0.11 | 59 (4.8) | 62 (5.1) | 0.01 |
| Mean TCI (SD) | 0.11 (0.5) | -0.02 (0.5) | 0.27 | 0.11 (0.5) | 0.11 (0.5) | 0.01 |
| Injury characteristics, n (%) unless otherwise specified | ||||||
| GCS ≤ 8 | 43 (3.5) | 659 (7.3) | 0.17 | 43 (3.5) | 35 (2.9) | 0.02 |
| Mean SBP, mmHg (SD) | 134.3 (28.6) | 127.0 (28.7) | 0.25 | 134.2 (28.6) | 133.9 (27.3) | 0.01 |
| Mean heart rate, BMP (SD) | 88.2 (18.6) | 91.1 (20.2) | 0.15 | 88.2 (18.7) | 88 (18.3) | 0.01 |
| ISS 9 to 16 | 673 (54.9) | 3129 (34.8) | 0.41 | 670 (54.8) | 674 (55.1) | 0.01 |
| ISS 17 to 25 | 376 (30.7) | 3566 (39.7) | 0.19 | 376 (30.7) | 380 (31.1) | 0.01 |
| ISS ≥ 26 | 177 (14.4) | 2292 (25.5) | 0.28 | 177 (14.5) | 169 (13.8) | 0.02 |
| Blood transfusion within 4 hrs | 145 (11.8) | 2172 (24.2) | 0.33 | 145 (11.9) | 154 (12.6) | 0.02 |
| Embolization procedure | 31 (2.5) | 591 (6.6) | 0.2 | 31 (2.5) | 32 (2.6) | 0.01 |
| Post-ED destination, n (%) | ||||||
| Regular ward | 504 (41.1) | 2272 (25.3) | 0.34 | 501 (41) | 488 (39.9) | 0.02 |
| Step-down/observation unit | 123 (10) | 860 (9.6) | 0.02 | 123 (10.1) | 118 (9.7) | 0.01 |
| Intensive care unit | 428 (34.9) | 4233 (47.1) | 0.25 | 428 (35) | 436 (35.7) | 0.01 |
| Operating theatre | 171 (14) | 1620 (18) | 0.11 | 171 (14) | 181 (14.8) | 0.02 |
| Facility characteristics, n (%) | ||||||
| Wait time > 72 hrs | 468 (38.2) | 3510 (39.1) | 0.02 | 466 (38.1) | 470 (38.4) | 0.01 |
| Teaching status | 688 (56.1) | 5248 (58.4) | 0.05 | 688 (56.3) | 699 (57.2) | 0.02 |
| Level I trauma centre | 808 (65.9) | 6118 (68.1) | 0.05 | 808 (66.1) | 824 (67.4) | 0.03 |
| Number of hospital beds (%) | ||||||
| < 200 | 260 (21.2) | 1842 (20.5) | 0.02 | 259 (21.2) | 272 (22.2) | 0.03 |
| 201 to 400 | 206 (16.8) | 1486 (16.5) | 0.01 | 206 (16.8) | 205 (16.8) | 0.02 |
| 401 to 600 | 297 (24.2) | 2402 (26.7) | 0.06 | 297 (24.3) | 294 (24) | 0.01 |
| > 600 | 463 (37.8) | 3257 (36.2) | 0.03 | 461 (37.7) | 452 (37) | 0.02 |
BMP, beats per minute; CHF, congestive heart failure; COPD, chronic obstructive pulmonary disorder; CVA, cerebrovascular accident; GCS, Glasgow Coma Scale; ISS, Injury Severity Score; ORIF, open reduction and internal fixation; SBP, systolic blood pressure; SMD, standardized mean difference; TCI, Trauma Comorbidity Index; THA, total hip arthroplasty.
Inclusion and exclusion criteria
We included patients aged ≥ 50 years who presented to institutions participating in TQIP between 1 January 2017 and 31 December 2022, with acetabulum fractures which were treated surgically with either acute THA or ORIF. Acetabulum fracture diagnosis was confirmed using International Classification of Diseases of the World Health Organization, tenth revision (ICD-10) diagnostic codes. Operative treatment with either ORIF or an acute THA procedure (THA alone or combined hip procedure, whereby a THA and ORIF are performed concurrently) was classified using ICD-10 procedure codes (Supplementary Material).17 Patients with a definitive treatment date occurring beyond three weeks of hospital admission were excluded in keeping with previous time-based definitions of acute THA.22 Patients with missing data for variables of interest were also excluded. Missingness was less than 3.3% for all included variables.
Exposure and outcomes
The primary exposure was the type of surgical management: acute THA compared with ORIF as a control.
Our primary outcome was the development of any in-hospital medical complication. A binary outcome (complication or no complication) was defined as the presence of any of: acute respiratory distress syndrome, ventilator-associated pneumonia, acute kidney injury, pressure injury, unplanned intensive care unit (ICU) admission, deep vein thrombosis, pulmonary embolism, myocardial infarction, sepsis, stroke, cardiac arrest, and/or death. Secondarily, we investigated whether there was any difference in the development of each medical complication alone, discharge disposition, or total hospital length of stay in days.
Covariates
Patient, injury, and facility characteristics thought to potentially influence the relationship between the type of surgical treatment and medical complications were recorded. Specifically, we evaluated age, sex, race, ethnicity, insurance status, medical comorbidity burden, and substance use as patient-level covariates. Measured medical comorbidities included a history of congestive heart failure, myocardial infarction, angina, hypertension, cirrhosis, chronic obstructive pulmonary disease, cerebrovascular accident, peripheral arterial disease, renal failure, diabetes, disseminated cancer, dementia, psychiatric illness, dependent baseline functional status, and the pre-injury use of anticoagulation medications. Substance use was quantified by a history of alcohol misuse, illicit drug use, or a history of smoking.
Multiple markers of injury severity were identified. We measured Injury Severity Score,23 Glasgow Coma Scale score on arrival, vital signs (systolic blood pressure and heart rate) on arrival, post-emergency department destination (regular floor, high observation, ICU, or operating theatre), requirement of a blood transfusion within four hours of hospital presentation, and need for an embolization procedure.
Facility characteristics included hospital bed size, teaching status, trauma level designation, and wait time to definitive fracture surgery.
Statistical analysis
Descriptive statistics were calculated with means (SD) or median (IQR) as appropriate. Counts and proportions were calculated for categorical variables. The propensity score, for a patient to receive treatment with acute THA, was calculated using a multivariable logistic regression model. Covariates included in the model were selected based on the consensus expert opinion of three trauma fellowship-trained orthopaedic surgeons (AK, AN, HJK), two of whom are trauma/arthroplasty dual fellowship-trained, all with substantial experience in acetabular fixation and/or THA in a trauma setting. Included variables were either thought to be true confounding variables or prognostically associated with the outcome.24,25 Instrumental variables were not included in the model.24 Acute THA and ORIF patients were matched 1:1 without replacement on the logit of the propensity score using a greedy nearest-neighbour matching algorithm and a caliper width equal to 0.2 of the SD of the logit of the propensity score.26 Covariate balance was assessed in the unmatched and matched samples using standardized differences. A threshold standardized difference of 0.1 was used to signify the presence of meaningful covariate imbalance between treatment groups.27,28 Differences in our primary and secondary outcomes were compared between the two groups after matching. We used generalized estimating equations to calculate the percent absolute risk difference with 95% CIs between treatment groups for categorical outcomes while accounting for propensity score-matched pairs.29 We used the Wilcoxon signed-rank test to compare within pair differences in length of stay in days. All statistical tests were two-sided, assuming a type I error of 0.05. Analyses were conducted using SAS v. 9.4 (SAS Institute, USA). We conducted a complete case analysis assuming data was missing completely at random.
Results
Of the 36,182 patients who underwent operative management of an acetabulum fracture in the TQIP database, 10,213 were eligible for our propensity score model (Figure 1). Among eligible patients, 1,226 (12%) were treated with an acute THA and 8,987 (88%) were treated with ORIF (Table I). Of the patients treated with acute THA, 617 (50.3%) were treated with acute THA alone and 609 (49.7%) were treated with a combined hip procedure. Acute THA patients demonstrated greater comorbidity burden, as shown by more frequent histories of congestive heart failure, chronic obstructive pulmonary disease, dependent functional status, dementia, hypertension, renal failure, and baseline anticoagulation medication usage. Patients treated with ORIF were more likely to present with higher Injury Severity Scores and Glasgow Coma Scale scores ≤ 8. Overall, patients treated with ORIF demonstrated evidence of higher acuity trauma as shown by higher rates of intensive care unit admission, immediate operating theatre disposition, blood transfusions within four hours, and embolization procedures for haemorrhage control.
Fig. 1.

Summary of cohort creation. THA, total hip arthroplasty; TQIP, Trauma Quality Improvement Program.
A total of 1,223 acute THA patients (99.8%) were each matched to a patient who was treated with ORIF. After propensity score matching, there were no meaningful differences in any of the measured baseline characteristics between the two treatment groups (Table I). Of the 1,223 matched patients treated with acute THA, 216 (17.7%) experienced a medical complication compared with 201 patients (16.4%) of the 1,223 who were treated with ORIF (absolute risk difference 1.23%, 95% CI -1.71 to 4.17, p = 0.414). There were no significant differences in the occurrence of each specific medical complication or discharge disposition between the two groups (Table II). There was no significant difference in hospital length of stay (within-pair median difference 0 days (IQR -6 to 5), p = 0.224).
Table II.
Primary and secondary outcomes after propensity score matching.
| Outcome | Number of patients (%) | Absolute risk difference, % (95% CI) | p-value | |
|---|---|---|---|---|
| THA (n = 1,223) |
ORIF (n = 1,223) |
|||
| Primary outcome | ||||
| Any medical complication | 216 (17.7) | 201 (16.4) | 1.23 (-1.71 to 4.17) | 0.414 |
| Secondary outcomes, n (%) | ||||
| Death | 38 (3.1) | 50 (4.1) | -0.98 (-2.47 to 0.5) | 0.195 |
| Cardiac arrest | 13 (1.1) | 19 (1.6) | -0.49 (-1.40 to 0.42) | 0.289 |
| Myocardial infarction | 6 (0.5) | 4 (0.3) | 0.16 (-0.34 to 0.67) | 0.527 |
| Stroke | 14 (1.1) | 9 (0.7) | 0.41 (-0.36 to 1.18) | 0.297 |
| Deep vein thrombosis | 50 (4.1) | 35 (2.9) | 1.23 (-0.23 to 2.68) | 0.099 |
| Pulmonary embolism | 19 (1.6) | 23 (1.9) | -0.33 (-1.34 to 0.69) | 0.527 |
| Acute respiratory distress syndrome | 11 (0.9) | 11 (0.9) | 0 (-0.75 to 0.75) | 1.00 |
| Ventilator associated pneumonia | 14 (1.1) | 13 (1.1) | 0.08 (-0.75 to 0.91) | 0.847 |
| Sepsis | 13 (1.1) | 16 (1.3) | -0.25 (-1.11 to 0.62) | 0.577 |
| Acute kidney injury | 35 (2.9) | 31 (2.5) | 0.33 (-0.89 to 1.55) | 0.599 |
| Unplanned ICU admission | 81 (6.6) | 62 (5.1) | 1.55 (-0.29 to 3.4) | 0.099 |
| Pressure injury | 33 (2.7) | 23 (1.9) | 0.82 (-0.38 to 2.02) | 0.181 |
| Discharge disposition | ||||
| Home | 263 (21.5) | 265 (21.7) | -0.16 (-3.36 to 3.03) | 0.920 |
| Rehabilitation facility | 132 (10.8) | 115 (9.4) | 1.39 (-0.97 to 3.75) | 0.248 |
| Secondary care hospital* | 355 (29) | 380 (31.1) | -2.04 (-5.64 to 1.56) | 0.266 |
| Skilled nursing facility | 435 (35.6) | 413 (33.8) | 1.8 (-1.92 to 5.51) | 0.343 |
| Deceased | 38 (3.1) | 50 (4.1) | -0.98 (-2.47 to 0.5) | 0.195 |
| Continuous outcomes | Within-pair difference | |||
| Median hospital length of stay, days (IQR) | 11 (7 to 16) | 11 (8 to 16) | 0 (-6 to 5) | 0.224 |
Secondary care hospital refers to discharge/transfer to a short-term general hospital, long-term care hospital, or psychiatric hospital/unit.
ICU, intensive care unit; ORIF, open reduction internal fixation; THA, total hip arthroplasty.
Discussion
In this multicentred retrospective cohort study, we found no difference in our primary outcome – the occurrence of in-hospital medical complications – in older patients with acetabulum fractures who were managed with either acute THA or ORIF. We also found no difference in secondary outcomes, including hospital length of stay or discharge disposition, between the two groups. These findings suggest that treatment with acute THA is as safe as ORIF alone in the older adult trauma patient population during the index hospital admission.
Previous literature evaluating the perioperative safety of acute acetabulum fracture management with THA is sparse. In a retrospective case series, Kelly et al17 reported that 129 of 956 patients (13.2%) who were treated with acute THA developed a perioperative medical complication. The most common medical complications in their investigation were renal failure (9.1%), respiratory failure (4.4%), and sepsis (4.1%).17 In comparison, medical complications following acute THA were more common in our study, occurring in 17.7% of the matched sample, which may be attributable to the higher injury severity captured by the TQIP database. Denyer et al18 evaluated the safety of treatment with combined acute THA with ORIF versus ORIF alone in a sample of 1,187 patients with acetabulum fractures. In unadjusted analyses of patients with associated fracture patterns, the authors found significantly higher rates of pneumonia and postoperative transfusions in the acute THA group as well as non-significantly higher rates of death (10% vs 3.2%). In a multivariable logistic regression stratified by fracture type, the authors found no difference in complications between the two groups.18 In contrast to our findings, the authors demonstrated that treatment with an acute THA significantly reduced total hospital length of stay. The study only captured 184 acute THA procedures, which limited their ability to control for potentially important confounding variables.18
Our study has notable strengths. There is substantial practice variation in the management of acetabular fractures in older patients, with no clear guidelines or consensus statements available to date.30 Nevertheless, the treatment of acetabulum fractures with acute THA has grown substantially in recent years.8,31 We used administrative data from the TQIP database, which draws from a large volume of trauma centres in North America. This included patients who presented with fractures from 2017 to 2022, which captures the evolving practice patterns in this patient population. Moreover, restricting our analysis to patients aged > 50 years created a study sample that was reflective of the typical age group for whom providers may begin to consider treatment with acute THA, as the trade-off between future revision arthroplasty and the development of post-traumatic hip arthritis becomes clinically relevant.32 Lastly, our variable selection was based on the consensus expert opinion of one trauma fellowship-trained and two trauma/arthroplasty dual-trained orthopaedic surgeons, to assist with proper specification of our propensity score model. We included several patient-, injury-, and facility-level covariates that may influence the development of postoperative medical complications in patients with acetabulum fractures. Before propensity score matching, we observed several meaningful differences in baseline covariates between treatment groups. After matching, no between-group differences remained among measured variables.
Although we accounted for several patient, injury, and facility level covariates, it is possible that our findings could be influenced by residual unmeasured confounding or modelling deficiencies. We were unable to account for different acetabulum fracture types in our analyses. Certain fracture types, such as associated both column and transverse posterior wall patterns, may require greater surgical exposure and instrumentation, which may lead to different risks of perioperative medical complications. Secondly, our outcome of interest was the occurrence of in-hospital perioperative medical complications. Certain fracture-related characteristics such as posterior wall comminution, marginal impaction, femoral head impaction, and associated fracture types have demonstrated associations with failed ORIF leading to salvage THA.4,33,34 In our study, any complications developed following discharge from hospital were not captured. Therefore, we cannot comment on the occurrence of important surgical outcomes such as dislocation, periprosthetic fracture, implant-related infection, and revision surgery. Previous studies have suggested a reduction in the risk of reoperation for elderly patients treated with acute THA when compared with those treated with ORIF.35,36 This represents an area of ongoing investigation. Finally, while the TQIP database uses rigorous data quality checks, our investigation may be limited by potential biases or errors inherent to the use of administrative health data such as misclassification of covariates and outcomes.
In conclusion, our study demonstrated that acetabulum fracture management with acute THA was associated with similar rates of in-hospital medical complications when compared with ORIF in a sample of adult trauma patients aged 50 years and older. Future research should evaluate the relative treatment efficacy of acute THA and ORIF, specifically comparing patient-reported outcomes, reoperation rates, and the occurrence of implant-related complications over extended periods of follow-up.
Take home message
- Acute management with total hip arthroplasty for acetabular fracture in adults aged ≥ 50 years is associated with similar risks of perioperative medical complications when compared to propensity score matched patients treated with open reduction and internal fixation.
- There was also no difference in discharge disposition or length of stay between treatment groups.
Author contributions
G. W. Schemitsch: Conceptualization, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft, Writing – review & editing
G. Hoit: Conceptualization, Data curation, Methodology, Writing – review & editing
M. Raleigh: Conceptualization, Methodology, Writing – review & editing
H. J. Kreder: Conceptualization, Methodology, Writing – review & editing
A. Nauth: Conceptualization, Methodology, Supervision, Writing – review & editing
R. Fowler: Conceptualization, Methodology, Supervision, Writing – review & editing
A. Khoshbin: Conceptualization, Methodology, Project administration, Supervision
Funding statement
The author(s) received no financial or material support for the research, authorship, and/or publication of this article.
ICMJE COI statement
A. Nauth reports grants or contracts from the Orthopaedic Trauma Association and the Canadian Institute for Health Research, consulting fees from Stryker, and support for attending meetings and/or travel from Arthrex and Stryker, all of which are unrelated to this study.
Data sharing
The datasets generated and analyzed in the current study are not publicly available due to data protection regulations. Access to data is limited to the researchers who have obtained permission for data processing. Further inquiries can be made to the corresponding author.
Acknowledgements
The authors would like to acknowledge Dr. Allan Detsky and Dr. Aaron Drucker for their contributions to this project.
Ethical review statement
This project was approved by the Unity Health research ethics board #21-205 (Toronto, Ontario, Canada).
Open access funding
Open access funding was supported by the Agnico Eagle Professorship in Arthroplasty Chair (A. Khoshbin).
Supplementary material
A summary of diagnostic codes, variable missingness, propensity score model variables, and RECORD checklist.
Social media
Follow the authors on Instagram @uoftorthopaedics
© 2026 Schemitsch et al. This article is distributed under the terms of the Creative Commons Attributions (CC BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original author and source are credited.
Data Availability
The datasets generated and analyzed in the current study are not publicly available due to data protection regulations. Access to data is limited to the researchers who have obtained permission for data processing. Further inquiries can be made to the corresponding author.
References
- 1. Carroll EA, Huber FG, Goldman AT, et al. Treatment of acetabular fractures in an older population. J Orthop Trauma. 2010;24(10):637–644. doi: 10.1097/BOT.0b013e3181ceb685. [DOI] [PubMed] [Google Scholar]
- 2. Mears DC, Velyvis JH. Acute total hip arthroplasty for selected displaced acetabular fractures: two to twelve-year results. J Bone Joint Surg Am. 2002;84-A(1):1–9. doi: 10.2106/00004623-200201000-00001. [DOI] [PubMed] [Google Scholar]
- 3. Mauffrey C, Bellas N, David G, Le Baron M. Understanding Acetabular Fractures: A Comprehensive Review. J Am Acad Orthop Surg. 2026;34(8):e1078–e1089. doi: 10.5435/JAAOS-D-25-00741. [DOI] [PubMed] [Google Scholar]
- 4. Schemitsch GW, Lameire DL, Hoit G, et al. Predictors of conversion total hip arthroplasty after surgically managed acetabulum fractures: a prognostic factor systematic review and meta-analysis. JBJS Rev. 2025;13(8):e25.00086. doi: 10.2106/JBJS.RVW.25.00086. [DOI] [PubMed] [Google Scholar]
- 5. Shaker F, Esmaeili S, Nakhjiri MT, Azarboo A, Shafiei SH. The outcome of conversion total hip arthroplasty following acetabular fractures: a systematic review and meta-analysis of comparative studies. J Orthop Surg Res. 2024;19(1):83. doi: 10.1186/s13018-024-04561-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Ranawat A, Zelken J, Helfet D, Buly R. Total hip arthroplasty for posttraumatic arthritis after acetabular fracture. J Arthroplasty. 2009;24(5):759–767. doi: 10.1016/j.arth.2008.04.004. [DOI] [PubMed] [Google Scholar]
- 7. Yuan BJ, Lewallen DG, Hanssen AD. Porous metal acetabular components have a low rate of mechanical failure in THA after operatively treated acetabular fracture. Clin Orthop Relat Res. 2015;473(2):536–542. doi: 10.1007/s11999-014-3852-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Albrektsson M, Möller M, Wolf O, Wennergren D, Sundfeldt M. Acetabular fractures: epidemiology and mortality based on 2,132 fractures from the Swedish Fracture Register. Bone Jt Open. 2023;4(9):652–658. doi: 10.1302/2633-1462.49.BJO-2023-0085.R1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Rickman M, Young J, Trompeter A, Pearce R, Hamilton M. Managing acetabular fractures in the elderly with fixation and primary arthroplasty: aiming for early weightbearing. Clin Orthop Relat Res. 2014;472(11):3375–3382. doi: 10.1007/s11999-014-3467-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Jauregui JJ, Weir TB, Chen JF, et al. Acute total hip arthroplasty for older patients with acetabular fractures: a meta-analysis. J Clin Orthop Trauma. 2020;11(6):976–982. doi: 10.1016/j.jcot.2020.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Enocson A, Chang D. Acetabular fractures in the elderly treated with acute fixation and primary total hip arthroplasty: a 3-year follow-up of 70 patients. Arch Orthop Trauma Surg. 2025;145(1):323. doi: 10.1007/s00402-025-05941-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Alqazzaz A, Bush AN, Zhuang T, Dehghani B, Gibon E, Nelson CL. Acute total hip arthroplasty following acetabular fracture is associated with a high risk of revision, dislocation, and periprosthetic fracture. J Arthroplasty. 2024;39(9S2):S270–S274. doi: 10.1016/j.arth.2024.04.046. [DOI] [PubMed] [Google Scholar]
- 13. Borg T, Hernefalk B, Hailer NP. Acute total hip arthroplasty combined with internal fixation for displaced acetabular fractures in the elderly: a short-term comparison with internal fixation alone after a minimum of two years. Bone Joint J. 2019;101-B(4):478–483. doi: 10.1302/0301-620X.101B4.BJJ-2018-1027.R2. [DOI] [PubMed] [Google Scholar]
- 14. Kirkeboe RL, Madsen JE, Nordsletten L, Clarke-Jenssen J. Acute treatment of elderly patients with acetabular fractures by open reduction, internal fixation, and total hip arthroplasty: a 1-10-year follow-up of 48 patients. Acta Orthop. 2024;95:661–666. doi: 10.2340/17453674.2024.42113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Rashed M, Hildebrand F, Hofmann U, et al. Acute total hip replacement of acetabular fractures with cementless modular revision cups in patients older than 55 years: a retrospective cohort study. Eur J Trauma Emerg Surg. 2025;51(1):362. doi: 10.1007/s00068-025-03045-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Weaver MJ, Smith RM, Lhowe DW, Vrahas MS. Does total hip arthroplasty reduce the risk of secondary surgery following the treatment of displaced acetabular fractures in the elderly compared to open reduction internal fixation? A pilot study. J Orthop Trauma. 2018;32(Supplement 1):S40–S45. doi: 10.1097/BOT.0000000000001088. [DOI] [PubMed] [Google Scholar]
- 17. Kelly M, Peterson DF, Yoo J, Working ZM, Friess D, Kagan R. Risk of revision and complications after total hip arthroplasty for acute treatment of acetabular fracture. J Arthroplasty. 2023;38(7 Suppl 2):S270–S275. doi: 10.1016/j.arth.2023.05.038. [DOI] [PubMed] [Google Scholar]
- 18. Denyer S, Hoyt AK, Eikani C, Cohen J, Brown NM. Thirty-day outcomes after acute total hip arthroplasty combined with internal fixation of acetabular fractures: a multi-institutional database analysis. J Am Acad Orthop Surg Glob Res Rev. 2023;7(12):e23.00071. doi: 10.5435/JAAOSGlobal-D-23-00071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Hornor MA, Hoeft C, Nathens AB. Quality benchmarking in trauma: from the NTDB to TQIP. Curr Trauma Rep. 2018;4(2):160–169. doi: 10.1007/s40719-018-0127-1. [DOI] [Google Scholar]
- 20. Lingampalli N, Schemitsch GW, Obremskey W, Schemitsch EH, Levack AE. A review of North American orthopaedic trauma and fracture registries. OTA Int. 2025;8(4 Suppl):e390. doi: 10.1097/OI9.0000000000000390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Benchimol EI, Smeeth L, Guttmann A, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med. 2015;12(10):e1001885. doi: 10.1371/journal.pmed.1001885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Mears DC, Velyvis JH. Primary total hip arthroplasty after acetabular fracture. Instr Course Lect. 2001;50:335–354. [PubMed] [Google Scholar]
- 23. Stevenson M, Segui-Gomez M, Lescohier I, Di Scala C, McDonald-Smith G. An overview of the injury severity score and the new injury severity score. Inj Prev. 2001;7(1):10–13. doi: 10.1136/ip.7.1.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med. 2007;26(4):734–753. doi: 10.1002/sim.2580. [DOI] [PubMed] [Google Scholar]
- 25. Brookhart MA, Schneeweiss S, Rothman KJ, Glynn RJ, Avorn J, Stürmer T. Variable selection for propensity score models. Am J Epidemiol. 2006;163(12):1149–1156. doi: 10.1093/aje/kwj149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat. 2011;10(2):150–161. doi: 10.1002/pst.433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Austin PC. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Stat Med. 2009;28(25):3083–3107. doi: 10.1002/sim.3697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Gu XS, Rosenbaum PR. Comparison of multivariate matching methods: structures, distances, and algorithms. J Comput Graph Stat. 1993;2(4):405–420. doi: 10.1080/10618600.1993.10474623. [DOI] [Google Scholar]
- 29. Austin PC. Comparing paired vs non-paired statistical methods of analyses when making inferences about absolute risk reductions in propensity-score matched samples. Stat Med. 2011;30(11):1292–1301. doi: 10.1002/sim.4200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Manson TT, Reider L, OʼToole RV, et al. Variation in treatment of displaced geriatric acetabular fractures among 15 level-i trauma centers. J Orthop Trauma. 2016;30(9):457–462. doi: 10.1097/BOT.0000000000000632. [DOI] [PubMed] [Google Scholar]
- 31. Patterson JT, Wier J, Kumaran P, Adamczyk A. Rising incidence of acute total hip arthroplasty for primary and adjunctive treatment of acetabular fracture in older and middle-aged adults. Eur J Orthop Surg Traumatol. 2024;34(7):3509–3521. doi: 10.1007/s00590-023-03653-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Mears DC, Velyvis JH, Chang CP. Displaced acetabular fractures managed operatively: indicators of outcome. Clin Orthop Relat Res. 2003;2003(407):173–186. doi: 10.1097/00003086-200302000-00026. [DOI] [PubMed] [Google Scholar]
- 33. Cichos KH, Spitler CA, Quade JH, McGwin G, Ghanem ES. Fracture and patient characteristics associated with early conversion total hip arthroplasty after acetabular fracture fixation. J Orthop Trauma. 2021;35(11):599–605. doi: 10.1097/BOT.0000000000002083. [DOI] [PubMed] [Google Scholar]
- 34. Tannast M, Najibi S, Matta JM. Two to twenty-year survivorship of the hip in 810 patients with operatively treated acetabular fractures. J Bone Joint Surg Am. 2012;94-A(17):1559–1567. doi: 10.2106/JBJS.K.00444. [DOI] [PubMed] [Google Scholar]
- 35. Manson TT, Slobogean GP, Nascone JW, et al. Open reduction and internal fixation alone versus open reduction and internal fixation plus total hip arthroplasty for displaced acetabular fractures in patients older than 60 years: a prospective clinical trial. Injury. 2022;53(2):523–528. doi: 10.1016/j.injury.2021.09.048. [DOI] [PubMed] [Google Scholar]
- 36. Lundin N, Berg HE, Enocson A. Complications after surgical treatment of acetabular fractures: a 5-year follow-up of 229 patients. Eur J Orthop Surg Traumatol. 2023;33(4):1245–1253. doi: 10.1007/s00590-022-03284-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and analyzed in the current study are not publicly available due to data protection regulations. Access to data is limited to the researchers who have obtained permission for data processing. Further inquiries can be made to the corresponding author.
