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Table 6 Multivariable logistic regression models (based on training data)

From: Towards improving the identification of anterior cruciate ligament tears in primary point-of-care settings

Variable

Condition

Model 1 (Patient-reported only)

Model 2 (Patient-reported and Clinician-generated)

Estimate (SE)

OR (95% CI)

p-value

Estimate (SE)

OR (95% CI)

p-value

Age

Year

0.047 (0.018)

1.05 (1.01.1.09)

0.007*

0.059 (0.028)

1.06 (1.00,1.12)

0.034*

Sport-related

Sport

1.261 (0.414)

3.53 (1.57,7.93)

0.002*

0.081 (0.701)

2.24 (0.57,8.85)

0.250

Non-sport

Reference

Reference

 

Family history

Yes

2.601 (0.616)

13.47 (4.03,45.06)

< 0.001*

1.021 (0.847)

2.78 (0.53,14.62)

0.228

No

Reference

  

Reference

  

Immediate swelling

Yes

2.532 (0.351)

12.58 (6.32,25.04)

< 0.001*

1.212 (0.543)

3.36 (1.16,9.74)

0.026*

No

Reference

Reference

Lachman test result

Positive

–

–

–

5.038 (0.498)

154.17 (58.04,409.49)

< 0.001*

Negative

–

–

–

Reference

  1. ACL Anterior Cruciate Ligament, SE standard error, OR odds ratio, CI confidence interval
  2. *p < 0.05
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BMC Musculoskeletal Disorders

ISSN: 1471-2474

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