| Literature DB >> 31281835 |
Tahsin Gürpınar1, Barış Polat2, Ayşe Esin Polat3, Engin Çarkçı1, Yusuf Öztürkmen1.
Abstract
BACKGROUND: The aim of this study is to determine the diagnostic accuracy of lever sign test in acute, chronic, and postreconstructive ACL injuries.Entities:
Mesh:
Year: 2019 PMID: 31281835 PMCID: PMC6590604 DOI: 10.1155/2019/3639693
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
Figure 1The view of the intact ACL (a) and ACL injury (b) side.
Patients demographics and the condition of the ACL, meniscus structures of patients on MRI.
| Min-Max | Median | Mean±sd/n-% | ||||||
|---|---|---|---|---|---|---|---|---|
| Age | 17 - 44 | 25.00 | 26.17 ± 6.445 | |||||
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| Sex | Female | 9 | 11.5% | |||||
| Male | 69 | 88.5% | ||||||
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| Injury Time to Examination | 0 - 14 | 5.00 | 5.88 ± 4.026 | |||||
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| Side | Left | 36 | 46.2% | |||||
| Right | 42 | 53.8% | ||||||
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| MRI-ACL | Intact | 16 | 20.5% | |||||
| P.Rupture | 12 | 15.4% | ||||||
| Rupture | 50 | 64.1% | ||||||
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| MRI-Meniscus Tear | (-) | 52 | 66.7% | |||||
| (+) | 26 | 33.3% | ||||||
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| Surgery ACL | Not Operated | 29 | 37.2% | |||||
| Reconstruction | 49 | 62.8% | ||||||
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| Hemarthrosis | (-) | 59 | 75.6% | |||||
| (+) | 19 | 24.4% | ||||||
The effectiveness of 4 physical examination tests in acute and chronic (preanaesthesia) period.
| MR Rupture | Sensitivity | PPV | Specificity | NPV | Accuracy | Kappa | p | |||
|---|---|---|---|---|---|---|---|---|---|---|
| (-) | (+) | |||||||||
| Lachman Acute | (-) | 10 | 12 | 80.6% | 89.3% | 62.5% | 45.5% | 76.9% | 0.379 | 0.001 K |
| (+) | 6 | 50 | ||||||||
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| Anterior-Drawer Acute | (-) | 11 | 14 | 77.4% | 90.6% | 68.8% | 44.0% | 75.6% | 0.382 | 0.001 K |
| (+) | 5 | 48 | ||||||||
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| Pivot-Shift Acute | (-) | 15 | 30 | 51.6% | 97.0% | 93.8% | 33.3% | 60.3% | 0.271 | 0.001 K |
| (+) | 1 | 32 | ||||||||
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| Lever Acute | (-) | 15 | 5 | 91.9% | 98.3% | 93.8% | 75.0% | 92.3% | 0.784 | <0.001 K |
| (+) | 1 | 57 | ||||||||
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| Lachman Preanesthesia | (-) | 11 | 10 | 83.9% | 91.2% | 68.8% | 52.4% | 80.8% | 0.472 | <0.001 K |
| (+) | 5 | 52 | ||||||||
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| Anterior-Drawer Preanesthesia | (-) | 12 | 13 | 79.0% | 92.5% | 75.0% | 48.0% | 78.2% | 0.447 | <0.001 K |
| (+) | 4 | 49 | ||||||||
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| Pivot-Shift Preanesthesia | (-) | 15 | 27 | 56.5% | 97.2% | 93.8% | 35.7% | 64.1% | 0.313 | 0.001 K |
| (+) | 1 | 35 | ||||||||
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| Lever Preanesthesia | (-) | 15 | 5 | 91.9% | 98.3% | 93.8% | 75.0% | 92.3% | 0.784 | <0.001 K |
| (+) | 1 | 57 | ||||||||
K Kappa Test
PPV: Positive predictive value, NPV: Negative predictive value, MR: Magnetic resonance
The effectiveness of 4 physical examination tests in acute and chronic (preanaesthesia) period.
| AUC | % 95 CI | p | |
|---|---|---|---|
| Lachman Acute | 0.716 | 0.564 - 0.868 | 0.008 |
| Anterior-Drawer Acute | 0.731 | 0.585 - 0.877 | 0.005 |
| Pivot-Shift Acute | 0.727 | 0.606 - 0.848 | 0.005 |
| Lever Acute | 0.928 | 0.849 - 1.000 | <0.001 |
| Lachman preanaesthesia | 0.701 | 0.544 - 0.858 | 0.014 |
| Anterior-Drawer preanaesthesia | 0.739 | 0.594 - 0.884 | 0.003 |
| Pivot-Shift preanaesthesia | 0.751 | 0.635 - 0.867 | 0.002 |
| Lever preanaesthesia | 0.928 | 0.849 - 1.000 | <0.001 |
ROC Curve
Figure 2A graphical presentation of the relationship between both sensitivity and specificity of 4 examination tests in acute and chronic (preanaesthesia) period.
Effect of the meniscus tear on the results of the lever test in acute period.
| MR Rupture | Sensitivity | PPV | Specificity | NPV | Accuracy | Kappa | p | |||
|---|---|---|---|---|---|---|---|---|---|---|
| (-) | (+) | |||||||||
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| Lever Acute | (-) | 5 | 3 | 85.0% | 94.4% | 83.3% | 62.5% | 84.6% | 0.612 | 0.001 K |
| (+) | 1 | 17 | ||||||||
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| Lever Acute | (-) | 10 | 2 | 95.2% | 100% | 100% | 83.3% | 96.2% | 0.885 | <0.001 K |
| (+) | 0 | 40 | ||||||||
K Kappa Test
The sensitivity of 4 physical examination tests in postanaesthesia period and the specificity of 4 physical examination tests in postoperative last follow-up period.
| N (49) | sensitivity (%) | ||
|---|---|---|---|
| Postanaesthesia-Positive | Lachman | 44 | 89.7 |
| Anterior-drawer | 39 | 79.5 | |
| Pivot-shift | 38 | 77.5 | |
| Lever | 45 | 91.9 | |
| N (49) | specificity (%) | ||
| Postop-Negative | Lachman | 47 | 96.0 |
| Anterior-drawer | 45 | 91.9 | |
| Pivot-shift | 47 | 96.0 | |
| Lever | 47 | 96.0 |