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ANKLE INJURIES Dan O’Connell, MD Department of Family Practice.

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Presentation on theme: "ANKLE INJURIES Dan O’Connell, MD Department of Family Practice."— Presentation transcript:

1 ANKLE INJURIES Dan O’Connell, MD Department of Family Practice

2 Photo foot

3

4 ANKLE SPRAINS- Grade 1,2,3 Grade I sprain - mild stretching of a ligament with microscopic tears. Mild swelling/tenderness. Jt stable, can bear wt. Grade II sprain -incomplete tear of a ligament; mod pain, swelling, ecchymosis. Mild-mod jt instability, decreased ROM. Weight bearing and ambulation are painful. Grade III sprain - complete tear of a ligament. Severe pain, swelling, ecchymosis. Significant mechanical instability on exam and significant loss of function and motion. Patients are unable to bear weight or ambulate

5 Diagnosis ankle injury
Hx- mechanism of injury, walking afterward and PREVIOUS INJURY PE/Inspection/Palpation/Rotation Wt bearing

6 PE Start in non-tender area- forefoot, prox fibula
Distal 6 cm (2 ½ inches) post lat malleolus Distal 6 cm (2 ½ inches) post med malleolus Have pt take 4 steps – limping is OK if wt is transferred

7 Normal anatomy of ankle
                                                                                      

8                                                                                            Tib/fib/ATFL

9 Lat/Medial view

10 Black and white

11 OTTAWA ANKLE RULES Meta-analysis- 27 studies, 15000+ pts
To assess Sensitivity/Specificity, pooled likelihood ratio

12 Pooled sens/spec

13 Table 3.  Pooled sensitivity (bootstrapped) and distribution of specificity in 27 studies (39 2×2 tables) of Ottawa ankle rules in diagnosis of ankle fractures. Values are percentages All studies (n=39) Sens 97.6 (96.4 to 98.9) Spec ( ) Type of assessment:   Ankle (n=15) (96.3 to 99.3) 39.8 ( )   Foot (n=10) (97.3 to 100) 37.8 ( )   Combined (n=14) (93.8 to 98.6) 26.3 ( )

14 Sensitivity/specificity
Number of tests Chance of a fracture in test Scenario Sensitivity Specificity Positive Negative Ideal specificity 0.98 0.9 198 802 1 in 2 1 in 400 Best specificity 0.7 348 652 1 in 4 1 in 326 Average specificity 0.4 648 352 1 in 7 1 in 176 Worst specificity 0.1 898 102 1 in 9 1 in 51 Outcomes predicted from a cohort of 1000 people presenting with possible fractured ankle, in which 100 (10%) actually have a broken ankle

15 Likelihood ratio – Negitive and positive
The likelihood ratio for a positive result (LR+) tells you how much the odds of the disease increase when a test is positive. The likelihood ratio for a negative result (LR-) tells you how much the odds of the disease decrease when a test is negative.

16 Likelihood ratio – Negitive and positive
The likelihood ratio of a positive test result (LR+) = sensitivity / ( 1- specificity). The likelihood ratio of a negative test result (LR-) = (1- sensitivity) / specificity.

17 Positive Likelihood ratio
Sensitivity/ (1-specificity) 97.6 / (1-31.5) = 97.6/68.5 =

18 Negative Likelihood ratio
(1-Sensitivity)/ Specificity (1-97.6) / 31.5 = 0.08 97.6/68.5 =

19 Ottawa rules – ankle injury
                                                                                   Pain in the malleolar zone and any of these findings: 1.bone tenderness at A, - post. Lat. malleolus 2. bone tenderness at B - post.med. malleolus 3.inability to bear weight immediately and in ED

20 Ottawa rules – foot injury
Foot radiographic series is indicated if pain in the midfoot zone and any of these findings: 1.bone tenderness at C – Base 5th metatarsal 2.bone tenderness at D - navicular bone 3.inability to bear weight immediately and in ED

21 Ankle injuries in basketball: injury rate and risk factors
Ankle injuries in basketball: injury rate and risk factors. AU - McKay GD; Goldie PA; Payne WR; Oakes BW SO - Br J Sports Med 2001 RESULTS: A total of basketball participations were observed and 40 ankle injuries documented. The rate of ankle injury was 3.85 per 1000 participations, with almost half (45.9%) missing one week or more of competition and the most common mechanism being landing (45%). Over half (56.8%) of the ankle injured basketball players did not seek professional treatment. Three risk factors for ankle injury were identified: (1) players with a history of ankle injury were almost five times more likely to sustain an ankle injury (odds ratio (OR) 4.94, 95% confidence interval (CI) 1.95 to 12.48); (2) players wearing shoes with air cells in the heel were 4.3 times more likely to injure an ankle than those wearing shoes without air cells (OR 4.34, 95% CI 1.51 to 12.40); (3) players who did not stretch before the game were 2.6 times more likely to injure an ankle than players who did (OR 2.62, 95% CI 1.01 to 6.34). There was also a trend toward ankle tape decreasing the risk of ankle injury in players with a history of ankle injury (p = 0.06). CONCLUSIONS: Ankle injuries occurred at a rate of 3.85 per 1000 participations. The three identified risk factors, and landing, should all be considered when preventive strategies for ankle injuries in basketball are being formulated.

22 Ankle injuries in basketball: injury rate and risk factors
Ankle injuries in basketball: injury rate and risk factors. AU - McKay GD; Goldie PA; Payne WR; Oakes BW SO - Br J Sports Med 2001 Three risk factors for ankle injury were identified: (1) players with a history of ankle injury were almost five times more likely to sustain an ankle injury (odds ratio (OR) 4.94, 95% (CI) 1.95 to 12.48); (2) players wearing shoes with air cells in the heel were 4.3 times more likely to injure an ankle than those wearing shoes without air cells (OR 4.34, 95% CI 1.51 to 12.40); (3) players who did not stretch before the game were 2.6 times more likely to injure an ankle than players who did (OR 2.62, 95% CI 1.01 to 6.34). There was also a trend toward ankle tape decreasing the risk of ankle injury in players with a history of ankle injury (p = 0.06).

23 Ankle injuries in basketball: injury rate and risk factors
Ankle injuries in basketball: injury rate and risk factors. AU - McKay GD; Goldie PA; Payne WR; Oakes BW SO - Br J Sports Med 2001 CONCLUSIONS: Ankle injuries occurred at a rate of 3.85 per 1000 participations. The three identified risk factors, and landing, should all be considered when preventive strategies for ankle injuries in basketball are being formulated.

24 RICE vs PRICES Rest Ice Compression Elevation Protect Rest Ice
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