| Literature DB >> 31799329 |
William J Uffmann1, Garrett V Christensen2, Minkyoung Yoo3, Richard E Nelson3, Patrick E Greis4, Robert T Burks4, Robert Z Tashjian4, Peter N Chalmers4.
Abstract
BACKGROUND: The optimal surgical treatment of anterior shoulder instability remains controversial. HYPOTHESIS: (1) Implants and facility-related costs are the primary drivers of variation in direct costs between arthroscopic Bankart and Latarjet procedures, and (2) distal tibial allograft (DTA) is more costly than Latarjet as a function of the graft expense. STUDYEntities:
Keywords: Latarjet; arthroscopic Bankart; cost; distal tibial allograft; shoulder instability
Year: 2019 PMID: 31799329 PMCID: PMC6873280 DOI: 10.1177/2325967119882001
Source DB: PubMed Journal: Orthop J Sports Med ISSN: 2325-9671
Figure 1.Patient exclusion process: 4 patients were excluded from the Latarjet group (2 had concomitant open reduction internal fixation, 2 had incomplete medical records); 3 patients were excluded from the arthroscopic Bankart group (2 had no cost data, 1 was treated at an outside facility); and 2 patients were excluded from the distal tibial allograft (DTA) group (2 posterior bone blocks).
Descriptive Statistics for Patient Demographics and Clinical Characteristics
| Arthroscopic Repair (n = 87) | Latarjet (n = 44) | DTA (n = 5) | |
|---|---|---|---|
| Age | 23.8 ± 8.1 | 26.3 ± 6.6 | 37.2 ± 8.7 |
| BMI | 26.0 ± 4.7 | 26 ± 5.5 | 28.6 ± 4.5 |
| Male sex | 65 (74.7) | 35 (79.6) | 5 (100) |
| Tobacco use | 14 (16.1) | 13 (29.5) | 2 (40) |
| Contact/collision | 44 (52.3) | 10 (22.7) | 0 (0) |
| ASA score | |||
| 1 | 75 (86.2) | 28 (63.6) | 2 (40) |
| 2 | 11 (12.6) | 14 (31.8) | 2 (40) |
| 3 | 15 (1.2) | 2 (4.6) | 1 (20) |
| 4 | 0 (0) | 0 (0) | 0 (0) |
Data are reported as mean ± SD or n (%). ASA, American Society of Anesthesiologists; BMI, body mass index; DTA, distal tibial allograft.
Rates of Prior Open and Arthroscopic Procedures
| Arthroscopic Repair (n = 87) | Latarjet (n = 44) | DTA (n = 5) | |
|---|---|---|---|
| Prior arthroscopic Bankart | 5 (5.8) | 25 (56.8) | 2 (40) |
| ≥2 procedures | 0 (0) | 13 (29.6) | 1 (20) |
| Prior open procedure | 2 (2.3) | 4 (9.1) | 2 (40) |
| ≥2 procedures | 0 (0) | 2 (4.5) | 0 (0) |
| Prior bone block procedure | 0 (0) | 0 (0) | 2 (40) |
Data are reported as n (%). DTA, distal tibial allograft.
Surgeon and Perioperative Factors
| Arthroscopic Repair (n = 87) | Latarjet (n = 44) | DTA (n = 5) | |
|---|---|---|---|
| Surgeon | |||
| 1 | 22 (25.3) | 14 (31.8) | 1 (20) |
| 2 | 29 (33.3) | 14 (31.8) | 1 (20) |
| 3 | 17 (19.5) | 15 (34.1) | 3 (60) |
| 4 | 2 (2.3) | 1 (2.3) | 0 (0) |
| 5 | 16 (18.4) | 0 (0) | 0 (0) |
| 6 | 1 (1.2) | 0 (0) | 0 (0) |
| Setting | |||
| Outpatient | 86 (98.9) | 34 (77.3) | 2 (40) |
| Inpatient | 1 (1.2) | 10 (22.7) | 3 (60) |
| Admitted | 0 (0) | 1 (2.3) | 2 (40) |
| Block | 8 (9.2) | 2 (4.6) | 2 (40) |
| Catheter | 60 (69.0) | 31 (70.5) | 3 (60) |
| Neuromonitoring | 0 (0) | 8 (18.2) | 2 (40) |
Data are reported as n (%). DTA, distal tibial allograft.
Demographic Comparison Between Latarjet and Arthroscopic Bankart Cohort
| Overall (N = 131) | Latarjet (n = 44) | Arthroscopic Repair (n = 87) |
| |
|---|---|---|---|---|
| Provider (surgeon) | .041 | |||
| 1 | 36 (27.5) | 14 (31.8) | 22 (25.3) | |
| 2 | 43 (32.8) | 14 (31.8) | 29 (33.3) | |
| 3 | 32 (24.4) | 15 (34.1) | 17 (19.5) | |
| 4 | 16 (12.2) | 0 (0) | 16 (18.4) | |
| 5 | 3 (2.3) | 1 (2.3) | 2 (2.3) | |
| 6 | 1 (0.8) | 0 (0) | 1 (1.2) | |
| Year of procedure | <.0001 | |||
| 2012 | 12 (9.2) | 12 (27.3) | 0 (0) | |
| 2013 | 26 (19.9) | 9 (20.5) | 17 (19.5) | |
| 2014 | 33 (25.2) | 5 (11.4) | 28 (32.2) | |
| 2015 | 26 (19.9) | 6 (13.6) | 20 (22.9) | |
| 2016 | 24 (18.3) | 8 (18.2) | 16 (18.34) | |
| 2017 | 10 (7.6) | 4 (9.1) | 6 (6.9) | |
| Approach | <.0001 | |||
| Arthroscopic | 86 (65.7) | 0 (0) | 86 (98.9) | |
| Open | 28 (21.4) | 28 (63.6) | 0 (0) | |
| Both | 17 (12.9) | 16 (36.4) | 1 (1.1) | |
| ASA score | .011 | |||
| 1 | 103 (78.6) | 28 (63.6) | 75 (86.2) | |
| 2 | 25 (19.1) | 14 (31.8) | 11 (12.6) | |
| 3 | 3 (2.3) | 2 (4.6) | 1 (1.2) | |
| Neuromonitoring | <.0001 | |||
| No | 123 (93.9) | 36 (81.8) | 87 (100) | |
| Yes | 8 (6.1) | 8 (18.2) | 0 (0) | |
| Location | <.0001 | |||
| Outpatient | 120 (91.6) | 34 (77.3) | 86 (98.9) | |
| Inpatient | 11 (8.4) | 10 (22.7) | 1 (1.2) | |
| No. of prior surgical procedures | <.0001 | |||
| 0 | 88 (67.2) | 6 (13.6) | 82 (94.3) | |
| 1 | 30 (22.9) | 25 (56.8) | 5 (5.7) | |
| ≥2 | 13 (9.9) | 13 (29.6) | 0 (0) | |
| No. of anchors | <.0001 | |||
| 0-2 | 45 (34.4) | 40 (90.9) | 5 (5.8) | |
| 3-4 | 75 (57.3) | 4 (9.1) | 71 (81.6) | |
| 5-8 | 11 (8.4) | 0 (0) | 11 (12.6) | |
| No. of screws | <.0001 | |||
| 0 | 87 (66.4) | 0 (0) | 87 (100) | |
| 2 | 44 (33.6) | 44 (100) | 0 (0) |
Data are reported as n (%). Age, sex, body mass index, tobacco use, rates of postoperative admission, and rates of perioperative regional anesthesia did not differ significantly among groups. ASA, American Society of Anesthesiologists.
Each P value demonstrates a statistically significant difference between the Latarjet and arthroscopic repair groups (P ≤ .05).
Figure 2.Normalized costs by procedure. Values are presented as mean ± SD. *Latarjet vs arthroscopic Bankart, P ≤ .05. **Latarjet vs DTA, P ≤ .05. DTA, distal tibial allograft; OR, operating room.
Multivariate Cost Analysis: Factors Associated With Direct Cost
| Relative Change (95% CI) | GLM Coefficient (95% CI) |
| |
|---|---|---|---|
| Procedure | |||
| Arthroscopic repair | Reference | ||
| Latarjet | –16.7 (–29.0 to –2.3) | –0.18 (–0.34 to –0.02) | .025 |
| Location | |||
| Outpatient | Reference | ||
| Inpatient | 46.8 (25.6 to 71.5) | 0.38 (0.23 to 0.54) | <.0001 |
| Prior arthroscopic instability procedures | |||
| 0 | Reference | ||
| 1 | 15.9 (0.0 to 34.4) | 0.15 (0.00 to 0.30) | .050 |
| ≥2 | 25.1 (6.2 to 47.4) | 0.22 (0.06 to 0.39) | .007 |
Relative change in estimated costs reflects the difference in cost as compared with the reference group. For instance, Latarjet was 16.7% less expensive than an arthroscopic Bankart. Negative values thus signify lower costs than the reference group. GLM, generalized linear model.
Each P value demonstrates a statistically significant different predictor of cost (P ≤ .05).