Volume 2025, Issue 1 3328450
Research Article
Open Access

In-Hospital Outcomes of Hip Arthroplasty for Femoral Neck Fractures in Young Adult Patients: A Nationwide Study

Hembashima Gabriel Sambe

Corresponding Author

Hembashima Gabriel Sambe

Department of Pharmacy , University of Washington , Seattle , Washington, USA , washington.edu

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Urvish Patel

Urvish Patel

Department of Public Health , Icahn School of Medicine at Mount Sinai , New York , New York, USA , mountsinai.org

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First published: 23 February 2025
Academic Editor: Allen L. Carl

Abstract

Introduction: Femoral neck fractures (FNFs) in young adults are relatively uncommon but pose significant clinical and surgical challenges. Hip arthroplasty is rarely used as a treatment option in this population but has seen rising use over the previous decade. This study seeks to compare hip arthroplasty outcomes among young adult patients in the United States admitted with FNF by evaluating hip hemiarthroplasty (HHA) and total hip arthroplasty (THA).

Materials and Methods: Using the National Inpatient Sample (NIS) data, adult patients less than 50 years old who underwent HHA or THA from 2016 to 2020 were analyzed. Both groups’ postoperative length of stay (pLOS), total hospital charges, and prosthesis-related complications (PRCs), including mechanical loosening (ML), prosthesis dislocation (PD), and periprosthetic fracture (PPF), were analyzed and compared.

Results: Out of 174,776,205 hospitalizations between 2016 and 2020, 15,590 young adult patients had FNF, and 2970 patients (2.18%) underwent hip arthroplasty (1195 HHAs and 1775 THAs). After controlling for demographic, clinical and hospital characteristics, HHA was associated with a 22.4% longer pLOS compared to THA [rate ratio: 1.224, 95% CI: 1.183 to 1.266; p < 0.001]. Patients in the HHA group also had higher odds of PPF (aOR: 9.06, 95% CI: 4.21, 19.48; p < 0.001). Conversely, patients in the THA group had higher odds of PD (aOR: 6.00, 95% CI: 1.78, 20.24; p = 0.004). There was no statistically significant difference in total hospital charges between the groups [cost ratio: 1.03, 95% CI: 0.995 to 1.075; p = 0.092].

Conclusion: Among young adults with FNF undergoing hip arthroplasty, HHA is associated with a longer postoperative hospital stay and higher risk of PPF as a major early complication, while THA is associated with a higher risk of PD. Financial burden is comparable for both procedure groups. When hip arthroplasty is a preferred treatment for FNFs, individual patient factors are important considerations that should guide the choice of procedure.

1. Introduction

Femoral neck fractures (FNFs) in young adults < 50 years are relatively rare fractures that often result from high-velocity trauma and may be a part of poly-trauma, with multiple fractures, including the ipsilateral femur [1, 2]. FNF patterns in the elderly differ from FNF patterns in young adults. Due to poor bone quality and low-energy injury mechanisms in elderly patients, a subcapital or mid-cervical FNF pattern is more common. Young adults typically have a basi-cervical, vertically oriented FNF pattern because of better bone quality and a higher energy mechanism [3, 4].

Over 330,000 hip fractures, half of which are FNFs, occur annually in the United States (U.S.) and are projected to double by 2050 [1, 5, 6]. Only 2%-3% of all FNFs occur in young adults [3]. Of all young adults with FNFs, only about 4% are treated with hip arthroplasty [7]. However, recent study findings indicate a rising use of hip arthroplasty, especially total hip arthroplasty (THA), among young adult patients in their 40s [8].

Depending on injury type, operative options for FNF include in situ fixation, closed or open reduction and internal fixation (CRIF and ORIF), hip hemiarthroplasty (HHA), and THA [1]. Due to concerns with functional outcomes and implant longevity, HHA and THA are typically avoided as first-line operations in young patients, and the consensus favors internal fixation, which salvages the femoral head [9, 10]. However, femoral head-preserving surgeries come with complications (such as nonunion, malunion, avascular necrosis, surgical site infection, and implant failure) affecting 5%–20% of patients and necessitating revision or conversion to hip replacement [11].

For young adult patients with risk factors for poor bone quality or failed fixation, hip arthroplasty may be performed: (1) THA may be considered depending on pre-morbid mobility and cognitive status; (2) Bipolar HHA may be preferable to THA if such patients have alcohol abuse because HHA might minimize the risk of dislocation associated with alcohol withdrawal or postsurgical intoxication [12]. Recently, more literature has reported the use of hip arthroplasty as first-line operation in patients under the age of 50 [8].

Unlike most existing studies focusing on hip arthroplasty for FNF in older populations, substantial gaps exist in the current knowledge of clinical outcomes of the few young adult patients with FNF who undergo hip arthroplasty as initial surgical treatment. This dearth of information may hinder clinical decision-making and resource allocation [13]. Thus, based on the most current data available in the National Inpatient Sample (NIS), we aim to determine if there is a difference between HHA and THA for young patients FNFs with regard to postoperative LOS (pLOS), prosthesis-related complications (PRCs), and total charges incurred.

2. Methods

2.1. Study Design and Study Population

This is a Level of Evidence III retrospective observational study involving adult patients in the U.S. who underwent hip arthroplasty following a FNF between 2016 and 2020. Patients aged < 18 years or ≥ 50 years, as well as those who underwent other procedures for their FNF (e.g., internal fixation), were excluded. Patients with number of days from admission to primary procedure recorded as values < 0 were also excluded.

2.2. Study Outcomes and Endpoints

pLOS was defined as the number of days from the hip arthroplasty procedure to hospital discharge. pLOS was analyzed as a continuous variable and modeled to estimate the relative change in mean pLOS by procedure type.

PRCs, including mechanical loosening (ML), prosthesis dislocation (PD), periprosthetic fracture (PPF), and aggregate PRC, were defined as binary (yes/no) outcomes. The 10th Revision International Classification of Diseases, Clinical Modification (ICD-10-CM) codes were used to identify PRCs (Table A4) [14]. The aggregate PRC indicator signified the presence of at least one PRC in a patient. Adjusted odds ratios (aOR) of developing specific PRCs by procedure type were estimated.

Adjusted total charges was defined as the total financial cost (in U.S. dollars) billed for the index hospitalization. Consumer Price Indexes (CPIs) were used to adjust charges in prior years (2016–2019) for inflation and converted to 2020 U.S. dollars [15]. Adjusted total charges was analyzed as a continuous variable and modeled to estimate the relative difference in adjusted mean hospital costs by procedure type.

2.3. Comparison Groups and Comorbidities

ICD-10-CM codes were used to identify young adult patients admitted with FNF as a primary diagnosis (Table A1) [14]. The ICD-10, Procedure Coding System (ICD-10-PCS) codes were used to identify patients with FNFs undergoing HHA or THA as a primary procedure (Table A2) [16]. ICD-10-CM codes were also used to identify comorbidities or coexisting conditions of osteoporosis, obesity, diabetes mellitus (DM) with or without complications, hypertension (HTN), venous thromboembolism (VTE), tobacco use/nicotine dependence, alcohol abuse/dependence, and drug abuse/dependence (Table A3) [14].

2.4. Source and Details of Data

Data was obtained from the NIS, a deidentified administrative database in the Agency for Healthcare Research and Quality (AHRQ)-funded Healthcare Cost and Utilization Project (HCUP). The NIS is the largest openly accessible inpatient care database in the U.S., containing discharge-level data provided by 49 statewide data organizations [48 States plus the District of Columbia (D.C.)] participating in the HCUP [17].

The NIS dataset includes a stratified sample of 20% of discharges from all HCUP-participating hospitals, totaling seven million annual hospitalizations, approximating 35 million hospitalizations between 2016 and 2020, and 175 million when discharge weights are applied. This data estimates the coverage of 97% of discharges from nonfederal U.S. hospitals, encompassing 98% of the U.S. population [17].

The NIS was updated in 2015 to follow ICD-10-CM criteria. Each hospitalization is considered a distinct entry within the database, containing one principal diagnosis, a maximum of 39 secondary diagnoses, and 25 procedural diagnoses related to hospital admission. We employed discharge-level weights to aid in projecting national estimates alongside the requisite information for estimating variances [17].

2.5. Statistical Methods

We used IBM SPSS Statistics (Version 29) for all analyses, except for missing data imputation, which was performed using R statistical software (Version 4.3.2) [18].

The dataset met the missing completely at random (MCAR) assumptions for the variables age, race, median household income, pLOS, number of days from admission to the procedure, total charges, and primary expected Payer. However, to reduce the number of case-wise deletions during analysis and preserve statistical power, we utilized k-nearest neighbor imputation (k-NNI) to impute missing data. The k-value of 25 was determined by calculating the unweighted sample size square root and rounding to the nearest whole number [19, 20].

Frequencies and percentages for demographic, clinical, and hospital characteristics were calculated for each procedure group and tested for significant differences using independent t-tests, median tests and chi-square (χ2) tests. Trends of hip arthroplasty across procedure groups, as well as 5-year incidence of PRCs, were also assessed.

Weighted generalized linear models (GLM) were used to estimate the relative change in mean pLOS and adjusted mean total charges associated with each procedure type. The Poisson log-linear model was used for mean pLOS, and gamma with log link model was used for adjusted mean total charges [21]. Using multivariable logistic regression, the aOR were used to evaluate the association between procedure type and the respective PRCs. Demographic, clinical, and hospital characteristics that showed a significant association with procedure type were included in multivariable models as controlling variables.

Statistical significance for all tests utilized a two-sided approach, with values of p ≤ 0.05 deemed statistically significant.

2.6. Ethical Considerations

Neither Institutional Review Board (IRB) endorsement nor Informed consent was necessary. HCUP Data Use Agreements (DUAs) and relevant ethical oversight were in place for all researchers [17].

3. Results

Among 174,776,205 patient records in the NIS from 2016 to 2020, FNF was the primary diagnosis in 15,590 young adults, representing 2.18% of all FNFs. Of these, 2970 patients (19.05%) underwent hip arthroplasty. Within the hip arthroplasty cohort, 1195 (40.2%) underwent HHA, and 1175 (59.8%) underwent THA (Figure 1).

Details are in the caption following the image
Flowchart detailing cohort selection with inclusion and exclusion criteria. ICD-10-CM = indicates international classification of diseases, 10th edition, clinical modification, FNF = femoral neck fracture; HHA = hip hemiarthroplasty, THA = total hip arthroplasty.

3.1. Demographic, Clinical, and Hospital Characteristics

The age distributions were comparable between the HHA and THA groups, with median ages of 46 years and 45 years, respectively. Patients undergoing HHA were more likely to be covered by Medicare, while those in the THA group predominantly had private insurance. In both groups, majority of patients were White, and admissions were primarily nonelective (Table 1).

Table 1. Demographic and clinical characteristics by hip arthroplasty procedure.
Variables HHA N = 1195 (40.2%) THA N = 1775 (59.8%) Total N = 2970 (100%) p value
Demographic characteristics
 Age
  Mean age 42.96 (6.34) 43.18 (5.98) 43.09 (6.129) 0.026
  Median age  46.0 (40.0–48.0) 45.0 (41.0–48.0) 45.0 (40.0–48.0) 0.586
 Age groups (%) 0.015
  Age group 18–29 years 75 (6.3) 70 (3.9) 145 (4.9)
  Age group 30–39 years 200 (16.7) 305 (17.2) 505 (17.0)
  Age group 40–49 years 920 (77.0) 1400 (78.9) 2320 (78.1)
 Sex (%) 0.102
  Male 620 (51.9) 975 (54.9) 1595 (53.7)
  Female 575 (48.1) 800 (45.1) 1375 (46.3)
 Race (%) < 0.001
  White 895 (74.9) 1430 (80.6) 2325 (78.3)
  Black 140 (11.7) 135 (7.6) 275 (9.3)
  Hispanic 100 (8.4) 110 (6.2) 210 (7.1)
  Asian or pacific islander 15 (1.3) 40 (2.3) 55 (1.9)
  Native american 20 (1.7) 10 (0.6) 30 (1.0)
  Other 25 (2.1) 50 (2.8) 75 (2.5)
 Median household income for patient’s ZIP code (%) 0.138
  0–25th percentile 375 (31.4) 525 (29.6) 900 (30.3)
  26th to 50th percentile (median) 340 (28.5) 470 (26.5) 810 (27.3)
  51st to 75th percentile 305 (25.5) 470 (26.5) 775 (26.1)
  76th to 100th percentile 175 (14.6) 310 (17.5) 485 (16.3)
Patient level and admission (clinical) characteristics
 Primary payer (%) < 0.001
  Medicare 465 (38.9) 330 (18.6) 795 (26.8)
  Medicaid 355 (29.7) 390 (22.0) 745 (25.1)
  Private insurance 240 (20.1) 725 (40.8) 965 (32.5)
  Self-pay 230 (6.3) 370 (8.2) 600 (7.4)
  No charge 80 (6.7) 165 (9.3) 245 (8.2)
  Other 45 (3.8) 145 (8.2) 190 (6.4)
 Admission type (%) < 0.001
  Nonelective 1125 (94.1) 1555 (87.6) 2680 (90.2)
  Elective 70 (5.9) 220 (12.4) 290 (9.8)
 Admission day (%) 0.486
  Weekday 875 (73.2) 1320 (74.4) 2195 (73.9)
  Weekend 320 (26.8) 455 (25.6) 775 (26.1)
 Comorbidities/coexisting conditions (%)
  Osteoporosis 95 (7.9) 110 (6.2) 205 (6.9) 0.065
  Obesity 90 (7.5) 210 (11.8) 300 (10.1) < 0.001
  DM 255 (21.3) 235 (13.2) 490 (16.5) < 0.001
  HTN 550 (46.0) 545 (30.7) 1095 (36.9) < 0.001
  VTE 40 (3.3) 20 (1.1) 60 (2.0) < 0.001
  Abuse/dependence of alcohol 200 (16.7) 200 (11.3) 400 (13.5) < 0.001
  Abuse/dependence of drug 510 (42.7) 625 (35.2) 1135 (38.2) < 0.001
  Tobacco use/nicotine dependence 470 (39.3) 625 (35.2) 1095 (36.9) 0.023
 Days from admission to procedure
  Mean days from admission to procedure 1.51 (1.69) 1.15 (1.20) 1.30 (1.43) < 0.001
  Median days from admission to procedure 1.0 (1.0–2.0) 1.0 (0.0–2.0) 1.0 (1.0–2.0) < 0.001
  • Note: Percentages in brackets are column percentages. Percentages indicates direct comparison between HHA and THA amongst patients with FNF from year 2016–2020.
  • Abbreviations: DM = diabetes mellitus, HHA = hip hemiarthroplasty, HTN = hypertension, THA = total hip arthroplasty, VTE = venous thromboembolism.
  • Expressed in mean ± SD years. Distribution is left-skewed (skewness value: −1.354).
  • Expressed in median years with the interquartile range (IQR) in parentheses.
  • Expressed in mean ± SD days. Distribution is right-skewed (skewness value = 3.102).
  • Expressed in median days with the IQR in parentheses.

Patients undergoing THA were more likely to be obese, whereas those in the HHA group had higher rates of DM, HTN, VTE, and substance abuse or dependence (of alcohol, drugs, and tobacco). HTN and drug abuse/dependence were the most prevalent comorbidities in the HHA cohort, whereas tobacco abuse/dependence and drug abuse/dependence were the most common comorbidities in the THA group. The median number of days from hospital admission to procedure was one day in both groups but mean time to procedure was shorter for THA patients than HHA patients (Table 1).

The choice of hip arthroplasty was not affected by sex, median household income, day of admission, or osteoporosis status (Table 1).

For both procedure groups, surgery was more likely to be performed in private nonprofit, urban teaching hospitals (Table 2).

Table 2. Hospital-level characteristics by hip arthroplasty procedure.
Variables HHA N = 1195 (40.2%) THA N = 1775 (59.8%) Total N = 2970 (100%) p value
Hospital level characteristics
 Bed size of hospital (%) 0.467
  Small 205 (17.2) 335 (18.9) 540 (18.2)
  Medium 350 (29.3) 500 (28.2) 850 (28.6)
  Large 640 (53.6) 940 (53.0) 1580 (53.2)
 Hospital location/teaching status (%) < 0.001
  Rural 160 (13.4) 145 (8.2) 305 (10.3)
  Urban nonteaching 310 (25.9) 375 (21.1) 685 (23.1)
  Urban teaching 725 (60.7) 1255 (70.7) 1980 (66.7)
 Hospital region 0.122
  Northeast 135 (11.3) 245 (13.8) 380 (12.8)
  Midwest 250 (20.9) 395 (22.3) 645 (21.7)
  South 555 (46.4) 770 (43.4) 1325 (44.6)
  West 255 (21.3) 365 (20.6) 620 (20.9)
 Control/ownership of hospital (%) 0.015
  Government, nonfederal 180 (15.1) 205 (11.5) 385 (13.0)
  Private, nonprofit 840 (70.3) 1280 (72.1) 2120 (71.4)
  Private, invest-own 175 (14.6) 290 (16.3) 465 (15.7)
  • Note: Percentages in brackets are column percentages. Percentages indicates direct comparison between HHA and THA amongst patients with FNF from year 2016–2020.
  • Abbreviations: HHA = hip hemiarthroplasty, THA = total hip arthroplasty.

The choice of hip arthroplasty was not affected by the bed size or geographic region of the hospital (Table 2).

3.2. Hip Arthroplasty Trends

There was no significant linear trend in the number of HHA or THA procedures performed between 2016 and 2020 (Figure 2).

Details are in the caption following the image
Hip arthroplasty trends for young adults from 2016 to 2020. HHA = hemiarthroplasty, pTrend = p value for trend in hip arthroplasty procedure over time, THA = total hip arthroplasty.

3.3. In-Hospital Outcomes by Procedure Groups

3.3.1. Unadjusted Comparisons

The mean pLOS for patients undergoing HHA was 5.26 days, and the median pLOS was 4 days. Patients who underwent THA had a mean pLOS of 3.66 days and a median pLOS of 2 days (Table 3).

Table 3. In-hospital outcomes by hip arthroplasty procedure.
In-hospital outcome HHA N = 1195 (40.2%) THA N = 1775 (59.8%) Total N = 2970 (100%) p value
Mean pLOS (days) 5.26 (5.99) 3.66 (4.55) 4.30 (5.24) < 0.001
Median pLOS (days)  4.0 (3.0–6.0) 2.0 (2.0–4.0) 3.0 (2.0–5.0) < 0.001
PRC
 -ML 10 (0.8%) 10 (0.6%) 20 (0.7%) 0.372
 -PD 5 (0.4%) 20 (1.1%) 25 (0.8%) 0.038
 -PPF 35 (2.9%) 20 (1.1%) 55 (1.9%) < 0.001
 -Aggregate PRC 35 (2.9%) 50 (2.8%) 85 (2.9%) 0.858
Mean adj. total charges ($) 100,110.64 (72,873.48) 100,285.81 (69,404.55) 100,215.33 (70,808.63) 0.007
Median adj. total charges ($) 86,225.84 (58,904.00–114,145.27) 75,617.84 (57,296.06–116,572.98) 80,494.95 (58,374.00–114,791.00) < 0.001
  • Note: Percentages in brackets are column percentages. Percentages indicates direct comparison between HHA and THA amongst patients with FNF from year 2016–2020.
  • Abbreviations: HHA = hip hemiarthroplasty, ML = mechanical loosening, PD = prosthesis dislocation, PPF = periprosthetic fracture, PRC = prosthesis-related complication, THA = total hip arthroplasty.
  • Expressed in mean ± SD days. Distribution is right-skewed (skewness value = 6.551).
  • Expressed in median days with the IQR in parentheses.
  • Expressed in mean ± SD U.S. Dollars. Distribution is right-skewed (skewness value = 2.810).
  • Expressed in median U.S. Dollars with the IQR in parentheses.

PPF was the most common PRC following HHA, while PPF and PD were equally prevalent after THA. ML was the second most common PRC in patients who underwent HHA. More patients in the THA group developed PD than patients who had HHA, while patients who underwent HHA developed PPF at a higher rate than patients who had THA. There was no statistically significant difference in the 5-year incidence of ML among both groups (Table 3) (Figure 3).

Details are in the caption following the image
Five-year incidence of PRCs following hip arthroplasty. Statistical significance in differences indicated. HHA = hemiarthroplasty, ML = mechanical loosening, PD = prosthesis dislocation, PPF = periprosthetic fracture, PRC = prosthesis-related complication, THA = total hip arthroplasty.

Mean adjusted total charges incurred for HHA patients were lower than THA by $175.17. However, the median adjusted total charges incurred for HHA patients was higher than THA by $10,608 (Table 3).

3.3.2. Adjusted Comparisons

Controlling for demographic, clinical, and hospital characteristics, multivariable GLM Poisson log-linear analysis revealed a significant relationship between procedure type and pLOS, with patients in the HHA group experiencing a 22.4% longer pLOS compared to those in the THA group (Table 4).

Table 4. Multivariable estimates for in-hospital outcomes by hip arthroplasty procedure.
In-hospital outcome HHA N = 1195 (40.2%) THA N = 1775 (59.8%) p-value
Mean pLOS [exp(B)] 1.224 (1.183, 1.266) 1.0 (REF) < 0.001
PRC (aOR)
 - PD 1.0 (REF) 6.00 (1.78, 20.24) 0.004
 - PPF 9.06 (4.21, 19.48) 1.0 (REF) < 0.001
Mean adj. total charges [exp(B)] 1.0 (REF) 1.033 (0.995, 1.075) 0.092
  • Abbreviations: HHA = hip hemiarthroplasty, PD = prosthesis dislocation, PPF = periprosthetic fracture, PRC (aOR) = prosthesis-related complication, THA = total hip arthroplasty.

Multivariable logistic regression analysis adjusted for demographic, clinical and hospital characteristics, showed a significant association between procedure type and PRC for both PD and PPF. THA was associated with six times higher odds of PD than HHA while, HHA was associated with nine times higher odds of PPF compared to THA (Table 4).

No significant change in adjusted total charges between both procedure groups was observed after GLM with gamma and log link analysis, adjusted for demographic, clinical, and hospital characteristics (Table 4).

4. Discussion

The age range defining a young patient often spans from skeletal maturity to 50 years, though the upper limit varies among surgeons [9]. FNFs pose a significant treatment challenge in this population and while internal fixation has traditionally been the standard treatment for young patients with FNF, emerging data suggests a potential shift in these conventions [8, 13]. To our knowledge, this study is the first to utilize a national administrative database to compare in-hospital outcomes of HHA and THA among young adult patients in the U.S.

Our observation of a one-in-five rate of hip arthroplasty in young adults with FNFs represents a fivefold increase compared to prior estimates by Johnson et al., who surveyed orthopedic surgeons primarily in North America and Europe [8]. Similarly, Johnson et al. reported a fourfold increase (from 5.3% to 22.3%) in the use of THA between 2002 and 2014 [8], and Maman et al. documented a 19% THA rate among patients aged 35–44.9, a subset of our study population [13]. This rising use of THA likely reflects the durability of total hip implants as well as risks of avascular necrosis and hardware failures with internal fixation [8]. Our study uniquely identifies a higher-than-expected use of HHA, likely driven by the higher prevalence of comorbidities as well as alcohol abuse or dependence, which affected one out of every six patients in this cohort [12].

Our adjusted models demonstrated significantly higher pLOS among patients who underwent HHA compared to THA. Prior studies on pLOS for FNFs, largely focused on older populations, have shown mixed results [2224]. Voskuji et al. observed a higher pLOS risk among hip arthroplasty patients with medical comorbidities, despite comparable pLOS between HHA and THA [24]. In our study, HHA patients had more comorbidities than THA patients, which may explain their longer pLOS.

PPF was the most common PRC overall, with patients in the HHA group having a significantly higher adjusted risk of PPF than patients in the THA group. This mirrors findings in previous literature where osteoporosis and wide femoral canals were identified as significant contributors to PPFs in patients who underwent HHA [25]. The relatively low incidence of PD in our study compared to previous studies was unexpected [26]; however, the higher adjusted odds of developing PD after undergoing THA than HHA was consistent with previous studies [26]. Surgical approach is known to influence hip stability, and the anterolateral approach is often recommended given the higher dislocation rates of the posterior approach [27].

Total charges recorded in the NIS vary from patient to patient but typically include charges for hospital rooms, supplies, medications, laboratory fees, and care staff (such as nurses). Total charges may include emergency charges prior to hospital admission but typically exclude professional fees (such as those for doctors) and noncovered expenses [17]. After adjusting for patient and hospital factors, we found no significant change in the adjusted total hospital charges between the procedure groups. In contrast, Slover et al. revealed that HHA patients, on average, had significantly lower costs than THA patients ($57,034 vs. $72,840) [28]. Other studies suggest that beyond the immediate post-op period, HHA may incur higher long-term costs than THA due to treatments for failed HHA or conversion surgeries [29, 30].

This study has several limitations. First, as a retrospective analysis of hospital admission data, it is restricted to inpatient events, making it difficult to assess the duration of FNF symptoms before presentation or long-term postsurgical outcomes. Second, the dataset lacks operative details such as anesthesia type, surgical duration, or blood loss, which are important considerations in surgical research [31]. Third, the small sample size of some PRCs resulted in a quasi-complete separation between PRCs and certain independent variables. To address this, we collapsed problematic variable levels for improved model stability [32].

5. Conclusion

In young adults with FNFs undergoing hip arthroplasty, HHA is associated with a longer pLOS and a higher risk of PPF, while THA is linked to a higher risk of PD. The costs between the two procedures are comparable. When hip arthroplasty is indicated, whether as a primary intervention or a revision after failed internal fixation, patient-specific factors should guide the choice of procedure to optimize outcomes. Further research is needed to clarify the benefits and risks of hip arthroplasty as its use continues to grow in this population.

Conflicts of Interest

The authors declare no conflicts of interest.

Author Contributions

Hembashima Gabriel Sambe contributed to the study concept, design, data acquisition, analysis, and manuscript drafting, revision, and submission. Urvish Patel refined the study design and data analysis and provided careful revisions to the final manuscript. All authors read and approved the final submitted manuscript.

Funding

The authors received no financial support from any third party, institution, organization, or company for the research, authorship, or publication of this article.

Appendix A: ICD-10-CM and ICD-10-PCS Codes Utilized in the Study

Table A1. Femoral neck fracture (FNF); ICD-10 CM codes.
Right Left Unspecified
S72001A S72002A S72009A
S72001B S72002B S72009B
S72001C S72002C S72009C
S72011A S72012A S72019A
S72011B S72012B S72019B
S72011C S72012C S72019C
S72031A S72032A S72033A
S72031B S72032B S72033B
S72031C S72032C S72033C
S72034A S72035A S72036A
S72034B S72035B S72036B
S72034C S72035C S72036C
S72041A S72042A S72043A
S72041B S72042B S72043B
S72041C S72042C S72043C
S72044A S72045A S72046A
S72044B S72045B S72046B
S72044C S72045C S72046C
  • Note: ICD-10-CM = 10th revision of the international classification of diseases, clinical modification.
Table A2. Hip hemiarthroplasty (HHA) and total hip arthroplasty (THA); ICD-10 PCS codes.
HHA THA
Right Left Right Left
0SRR019 0SRS019 0SR9019 0SRB019
  
0SRR01A 0SRS01A 0SR901A 0SRB01A
  
0SRR01Z 0SRS01Z 0SR901Z 0SRB01Z
  
0SRR039 0SRS039 0SR9029 0SRB029
  
0SRR03A 0SRS03A 0SR902A 0SRB02A
  
0SRR03Z 0SRS03Z 0SR902Z 0SRB02Z
  
0SRR07Z 0SRS07Z 0SR9039 0SRB039
0SR903A 0SRB03A
0SR903Z 0SRB03Z
  
0SRR0J9 0SRS0J9 0SR9049 0SRB049
  
0SRR0JA 0SRS0JA 0SR904A 0SRB04A
  
0SRR0JZ 0SRS0JZ 0SR904Z 0SRB04Z
  
0SRR0KZ 0SRS0KZ 0SR9069 0SRB069
0SR906A 0SRB06A
0SR906Z 0SRB06Z
  
0SR907Z 0SRB07Z
  
0SR90EZ 0SRB0EZ
  
0SR90J9 0SRB0J9
  
0SR90JA 0SRB0JA
  
0SR90JZ 0SRB0JZ
  
0SR90KZ 0SRB0KZ
  • Note: ICD-10-PCS = 10th revision of the international classification of diseases, procedure coding system.
  • Abbreviations: HHA = hip hemiarthroplasty, THA = total hip arthroplasty.
Table A3. Comorbidities, ICD-10 CM codes.
Comorbidity ICD-10 CM code
Osteoporosis M80, M81
Obesity E660, E661, E662, E663, E668, E669
DM with/without complications E08, E09, E10, E11, E13
HTN I10, I11, I12, I13, I15, I16, I1A
VTE I82, I26
Abuse/dependence of alcohol F101, F102
Abuse/dependence of drug F11, F12, F13, F14, F15, F16, F17, F18, F19
Tobacco use/nicotine dependence Z720, F172, O9933
  • Note: ICD-10-CM = 10th revision of the international classification of diseases, clinical modification.
  • Abbreviations: DM = diabetes mellitus, HTN = hypertension, VTE = venous thromboembolism.
Table A4. Prosthesis-related complications (PRCs): ICD-10 CM codes.
Right Left
Mechanical loosening (ML) T84030A T84031A
T84030D T84031D
T84030S T84031S
  
Dislocation of prosthesis (PD) T84020A T84021A
T84020D T84021D
T84020S T84021S
  
Periprosthetic fracture (PPF) M9701XA M9702XA
M9701XD M9702XD
M9701XS M9702XS
  • Note: ICD-10-CM: 10th revision of the international classification of diseases, clinical modification.

Data Availability Statement

The data supporting the findings of this study are available on Zenodo, a publicly available database, at https://doi.org/10.5281/zenodo.14523498.

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