| Literature DB >> 33986212 |
Konstantin Brnjoš1, David K Lyons, Max J Hyman, Neeraj M Patel.
Abstract
BACKGROUND: Spica casting and elastic stable intramedullary nailing (ESIN) are treatment options for femur fractures in preschool-age children. Clinical practice guidelines are only of moderate or limited strength, which may lead to variation in practice. The purpose of this study was to compare the revision surgery rate in young children undergoing these procedures.Entities:
Mesh:
Year: 2020 PMID: 33986212 PMCID: PMC7537822 DOI: 10.5435/JAAOSGlobal-D-20-00169
Source DB: PubMed Journal: J Am Acad Orthop Surg Glob Res Rev ISSN: 2474-7661
Comparison of Spica Casting and Elastic Stable Intramedullary Nailing (ESIN)[a]
| Variable | Spica Cast | ESIN | |
| n | 2,878 (70.9) | 1,181 (29.1) | NA |
| Age (yrs) | 3.5 ± 0.8 | 4.9 ± 1.0 | |
| Age 3 and 4 | 2,526 (87.8) | 374 (31.7) | <0.001 |
| Age 5 and 6 | 352 (12.2) | 807 (68.3) | <0.001 |
| Sex | |||
| Male | 2,191 (76.1) | 820 (69.4) | <0.001 |
| Female | 655 (22.8) | 351 (29.7) | |
| Unknown | 32 (1.1) | 10 (0.8) | |
| Race/ethnicity | |||
| White | 1,952 (67.8) | 777 (65.8) | 0.43 |
| Black | 467 (16.2) | 215 (18.2) | |
| Asian | 58 (2.0) | 25 (2.1) | |
| Native American | 18 (0.6) | 7 (0.6) | |
| Pacific Islander | 7 (0.2) | 2 (0.2) | |
| Other | 303 (10.5) | 102 (8.6) | |
| Unknown | 73 (2.5) | 53 (4.5) | |
| Insurance | |||
| Government | 1,482 (51.5) | 622 (52.7) | 0.50 |
| Private | 1,185 (41.2) | 484 (41.0) | |
| Other | 211 (7.3) | 75 (6.4) | |
| Median hospitalization (d) (interquartile range) | 1 (1) | 2 (1) | <0.001 |
| Emergency department visit | 52 (1.8) | 13 (1.1) | 0.10 |
| Readmission | 73 (2.5) | 24 (2.0) | 0.34 |
| Observation unit stay | 40 (1.4) | 22 (1.9) | 0.26 |
| Refracture | 20 (0.7) | 5 (0.4) | 0.32 |
| Unplanned revision surgery | 227 (7.9) | 35 (3.0) | <0.001 |
NA = not applicable
Values reported as n (%) or mean ± SD unless otherwise noted.
Characteristics of Subjects Undergoing Unplanned Revision Surgery[a]
| Variable | Unplanned Revision Surgery | No Revision Surgery | |
| n (% of entire cohort) | 262 (6.5) | 3,797 (93.5) | NA |
| Age (yrs) | 3.9 ± 1.0 | 3.9 ± 1.1 | 0.30 |
| Sex | |||
| Male | 197 (75.2) | 2,814 (74.1) | 0.86 |
| Female | 63 (24.0) | 943 (24.8) | |
| Unknown | 2 (0.8) | 40 (1.1) | |
| Race/ethnicity | |||
| White | 181 (69.1) | 2,548 (67.1) | 1.00 |
| Black | 44 (16.8) | 638 (16.8) | |
| Asian | 6 (2.3) | 77 (2.0) | |
| Native American | 1 (0.4) | 24 (0.6) | |
| Pacific Islander | 0 (0.0) | 9 (0.2) | |
| Other | 27 (10.3) | 378 (10) | |
| Unknown | 3 (1.1) | 123 (3.2) | |
| Insurance | |||
| Government | 146 (55.7) | 1,958 (51.6) | 0.31 |
| Private | 96 (36.6) | 1,573 (41.4) | |
| Other | 20 (7.6) | 266 (7.0) | |
| Index procedure | |||
| Spica cast | 227 (86.6) | 2,651 (69.8) | <0.001 |
| ESIN | 35 (13.4) | 1,146 (30.2) | |
| Median hospitalization (d) (interquartile range) | 1 (1) | 1 (1) | 0.30 |
NA = not applicable
Does not include patients that underwent implant removal after ESIN.
Values reported as n (%) or mean ± SD unless otherwise noted.
Comparison of Unplanned Revision Surgery Procedures Done[a]
| Variable | Spica Cast | ESIN |
| n | 227 | 35 |
| Closed reduction | 149 (65.6) | 8 (22.9) |
| ESIN | 50 (22.0) | 19 (54.3) |
| Open reduction, internal fixation | 18 (7.9) | 3 (8.6) |
| Epiphysiodesis/hemiepiphysiodesis | 6 (2.6) | 3 (8.6) |
| Limb lengthening | 2 (0.9) | 0 (0.0) |
| Unknown | 2 (0.9) | 2 (5.7) |
ESIN = elastic stable intramedullary nailing
P < 0.001.
Values reported as n (%).
Predictors of Unplanned Revision Surgery in Multivariate Regression
| Variable | Odds Ratio | 95% CI | |
| Spica cast | 4.4 | 2.9-6.7 | <0.001 |
| Sex | 0.8 | 0.2-3.5 | 0.74 |
| Geographic region | 1.3 | 0.8-2.2 | 0.23 |
CI = confidence interval
Predictors of Unplanned Revision Surgery After Initial Spica Casting
| Variable | Odds Ratio | 95% CI | |
| Age (continuous) | 1.3 | 1.1-1.6 | <0.001 |
| Age 5 or 6 yrs[ | 1.9 | 1.3-2.7 | 0.001 |
| Sex | 1.1 | 0.3-4.8 | 0.90 |
| Geographic region | 0.6 | 0.3-1.1 | 0.09 |
CI = confidence interval
Age was first added to the model as a continuous variable, then separately as a categorical variable in another model.