Thumb MCPJ Collateral Ligament Repair/Reconstruction

Author

Kingery MT

Published

February 2, 2024

Results

Demographics

A total of 18,230 collateral ligament injuries in 18,171 patients were identified during the study period based on the relevant diagnosis codes. 5,700 collateral ligaments in 5,641 patients (31.3% of all injuries) underwent operative treatment. The remaining 68.7% of injuries did not undergo operative treatment.

Demographics for all patients with MCP collateral ligament injury during the study period.
Characteristic Overall, N = 18,1711 Treatment p-value2
Operative, N = 5,6411 Nonoperative, N = 12,5301
Indication


<0.001
    Sprain 13,828 (76.1%) 5,380 (95.4%) 8,448 (67.4%)
    Subluxation 423 (2.3%) 66 (1.2%) 357 (2.8%)
    Dislocation 3,920 (21.6%) 195 (3.5%) 3,725 (29.7%)
Age (years) 35.5 +/- 18.5 41.5 +/- 15.7 32.8 +/- 19.1 <0.001
Sex


<0.001
    Female 7,576 (41.7%) 2,467 (43.7%) 5,109 (40.8%)
    Male 10,595 (58.3%) 3,174 (56.3%) 7,421 (59.2%)
Race


<0.001
    White 10,187 (56.2%) 3,662 (64.9%) 6,525 (52.3%)
    Black 3,033 (16.7%) 588 (10.4%) 2,445 (19.6%)
    Hispanic 2,056 (11.3%) 362 (6.4%) 1,694 (13.6%)
    Asian 397 (2.2%) 124 (2.2%) 273 (2.2%)
    Native American 71 (0.4%) 16 (0.3%) 55 (0.4%)
    Other or Unknown 2,378 (13.1%) 889 (15.8%) 1,489 (11.9%)
Elixhauser score 0.1 +/- 1.2 0.1 +/- 1.3 0.1 +/- 1.1 0.003
Insurance


<0.001
    Private 11,377 (62.6%) 4,106 (72.8%) 7,271 (58.1%)
    Medicare 1,292 (7.1%) 351 (6.2%) 941 (7.5%)
    Medicaid 2,195 (12.1%) 262 (4.6%) 1,933 (15.4%)
    Worker's Compensation 1,723 (9.5%) 722 (12.8%) 1,001 (8.0%)
    Other 1,579 (8.7%) 200 (3.5%) 1,379 (11.0%)
1 n (%); Mean +/- SD
2 Pearson’s Chi-squared test; Welch Two Sample t-test

Operative versus nonoperative treatment

Figure 1: Trends in the nonoperative versus operative treatment of MCP collateral ligament injuries.


Call:
lm(formula = perc ~ disch_yr, data = perc_operative)

Residuals:
      Min        1Q    Median        3Q       Max 
-0.025534 -0.016297 -0.005817  0.013044  0.040761 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)   
(Intercept) -17.534909   4.478339  -3.915  0.00354 **
disch_yr      0.008860   0.002222   3.987  0.00317 **
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 0.02331 on 9 degrees of freedom
Multiple R-squared:  0.6384,    Adjusted R-squared:  0.5983 
F-statistic: 15.89 on 1 and 9 DF,  p-value: 0.003174
Analysis of Variance Table

Model 1: perc ~ disch_yr
Model 2: perc ~ poly(disch_yr, 2)
Model 3: perc ~ poly(disch_yr, 3)
Model 4: perc ~ poly(disch_yr, 4)
Model 5: perc ~ poly(disch_yr, 5)
  Res.Df       RSS Df  Sum of Sq       F   Pr(>F)   
1      9 0.0048901                                  
2      8 0.0048852  1 0.00000488  0.0380 0.853191   
3      7 0.0021823  1 0.00270289 21.0046 0.005931 **
4      6 0.0006550  1 0.00152732 11.8690 0.018333 * 
5      5 0.0006434  1 0.00001160  0.0902 0.776051   
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Figure 2: Trend over time in percentage treated operatively.

The percentage of injuries treated operatively increased over the study period, with a minimum of 25.7% in 2011 and a maximum of 35.8% in 2017. The percentage of operative cases appears to increase steadily until 2016 before leveling off. Based on a linear approximation, there was a significant increase of 1.3% per year in the percentage of injuries treated operatively. In Figure 2, the blue curve represents the linear approximation, while the red curve represents a cubic polynomial fit to the percentage of injuries treated operatively over time, which more accurately describes the data.

Demographic factors affecting operative treatment

Table 1: Odds of operative treatment. A is uncontrolled effect of insurance. B is effect of insurance controlling for covariates.
Characteristic Univariable Multivariable
OR1 95% CI1 p-value OR1 95% CI1 p-value
Insurance





    Medicaid

    Private 4.15 3.64, 4.75 <0.001 3.23 2.82, 3.71 <0.001
    Worker's Compensation 5.28 4.50, 6.20 <0.001 3.55 3.01, 4.19 <0.001
    Medicare 2.73 2.28, 3.26 <0.001 0.75 0.61, 0.91 0.004
    Other 1.06 0.87, 1.29 0.565 0.93 0.76, 1.14 0.485
Age (Years)


1.03 1.03, 1.03 <0.001
Sex





    Female



    Male


1.09 1.02, 1.17 0.012
Race





    White



    Black


0.52 0.47, 0.58 <0.001
    Hispanic


0.45 0.40, 0.51 <0.001
    Asian


0.90 0.72, 1.13 0.366
    Native American


0.62 0.34, 1.08 0.104
    Other or Unknown


1.12 1.01, 1.23 0.027
1 OR = Odds Ratio, CI = Confidence Interval

Survival analysis

Among all patients treated operatively, 43 operatively treated injuries (0.8%) eventually failed primary operative treatment and required MCPJ arthrodesis. The mean time from primary surgery to arthrodesis was 1.1 +/- 0.9 years.

Figure 3: Surivival curve for patients who failed primary operative treatment and required MCPJ arthrodesis.