| Literature DB >> 32577318 |
Kendra Kibble1, Sarah C Peck1, Harsh R Parikh1,2, Ilexa Flagstad1, Tiffany Gorman1, A Bandele Okelana1, Brian P Cunningham3.
Abstract
INTRODUCTION: Hemiarthroplasty is increasingly used for the treatment of geriatric femoral neck fractures in an effort to optimize value-based care. The current American Association of Orthopaedic Surgeons (AAOS) guidelines released in 2014 for the treatment of geriatric hip fractures recommend the utilization of monopolar cemented constructs. The purpose of this study was to evaluate hip hemiarthroplasty implant cost variability and implant selection trends from 2006 to 2018.Entities:
Keywords: femoral neck fracture; geriatric trauma; hemiarthroplasty; hip fracture; value-based care
Year: 2020 PMID: 32577318 PMCID: PMC7288846 DOI: 10.1177/2151459320927378
Source DB: PubMed Journal: Geriatr Orthop Surg Rehabil ISSN: 2151-4585
Figure 1.Anteroposterior pelvic radiograph displaying a monopolar cemented hemiarthroplasty construct (L) and a bipolar press-fit construct (R).
Figure 2.Distributional flow chart of the patient study population.
Demographic Characteristics for the Study Population, Between 2006 and 2018.a,b
| Parameter | Summary |
|---|---|
| Age | 85.0 ± 7.9 |
| Body mass index (kg/m2) | 24.0 ± 5.5 |
| Gender | Male: 277 (29.5%) |
| Female: 663 (70.5%) | |
| American Society of Anesthesiologists score | 1: 7 (0.8%) |
| 2: 128 (14.3%) | |
| 3: 674 (75.4%) | |
| 4: 84 (9.4%) | |
| 5: 1 (0.1%) | |
| Operative time | 88.1 ± 33.4 |
| Hospital length of stay | 5.6 ± 2.7 |
| Implant cost | US$2898.16 ± US$2073.56 |
| Total hip arthroplasty conversion | 11 (1.2%) |
| 90-Day mortality | 33 (3.5%) |
| 1-Year mortality | 45 (4.7%) |
a N = 940.
b A summary of the study population (N = 940) characteristic. For continues parameters, reporting involves the mean ± standard deviation. For descriptive parameters, variables are reported as the count and the percentage of the population in parentheses.
Study Population Characteristics, Stratified by the Implant Used in Hemiarthroplasty Procedures, Between 2006 and 2018.a,b
| Monopolar press-fit | Monopolar cemented | Bipolar press-fit | Bipolar cemented |
| |
|---|---|---|---|---|---|
| Age | 82.0 ± 9.9 | 85.7 ± 7.1 | 81.7 ± 11.3 | 85.5 ± 6.9 | <.01c |
| Body mass index (kg/m2) | 24.6 ± 5.7 | 24.3 ± 6.3 | 23.6 ± 4.6 | 23.6 ± 4.0 | .41c |
| Female(s) | 26 (66.7%) | 370 (70.6%) | 64 (59.8%) | 203 (75.2%) | .03d |
| American Society of Anesthesiologists score | 1: 1 (2.6%) | 1: 3 (0.6%) | 1: 0 (0.0%) | 1: 3 (1.2%) | .25d |
| Total hip arthroplasty conversion | 1 (2.6%) | 4 (0.8%) | 4 (3.7%) | 2 (0.7%) | .05d |
| 90-Day mortality | 1 (2.6%) | 16 (3.1%) | 3 (2.8%) | 13 (4.8%) | .56d |
| 1-Year mortality | 1 (2.6%) | 24 (4.6%) | 6 (5.6%) | 14 (7.8%) | .24d |
| Operative time | 91.3 ± 40.5 | 79.0 ± 29.8 | 94.5 ± 28.4 | 102.8 ± 35.1 | <.01c |
| Implant cost | US$2721.03 ± US$1830.97 | US$2618.68 ± US$1834.16 | US$3900.61 ± US$2607.54 | US$3072.59 ± US$2177.45 | <.01c |
a N = 940.
b A summary of study population characteristics relating to samples’ demographics and injury patterns.
c Resulting P value from a one-way analysis of variance F test.
d Resulting P value from a χ2 test between the three treatment arms.
Figure 3.A review of the implant construct utilization for hemiarthroplasty procedures, years 2006 to 2018 inclusive.
Linear Beta Coefficients (β) and 95% Confidence Intervals for Association of Implant Makeup to Overall Implant Cost, 2006 to 2018.a,b
| Model | Parameter | Beta (β) |
|
|---|---|---|---|
| Implant cost | Intercept | US$3178.35 |
|
| Polarityc | US$554.00 |
| |
| Cementd | −US$593.71 |
| |
| Implant cost ± demographicse | Intercept | US$2801.35 |
|
| Polarityc | US$565.50 |
| |
| Cementd | −US$559.57 |
|
a N = 940.
b Linear model results for association between implant makeup to overall implant cost.
c Parameter of polarity is evaluated with monopolar constructs as the set reference.
d Parameter of cement is evaluated with non-cemented constructs as the set reference.
e Adjusting for demographic variables of: age, BMI, and gender.