Observational Study
Copyright ©The Author(s) 2023.
World J Orthop. Jul 18, 2023; 14(7): 554-561
Published online Jul 18, 2023. doi: 10.5312/wjo.v14.i7.554
Table 1 Description of clinical features of open ankle fractures in patients > 70 years old
Clinical feature
Number of patients, n (%)
1 Mechanism of injury
    Road traffic accident4 (11)
    Falls33 (89)
2 Classification of ankle injuries[23]
    Unimalleolar4 (11)
    Bimalleolar29 (78)
    Trimalleolar4 (11)
3 Site of open wound
    Medial33 (89)
    Lateral1 (3)
    Anterior1 (5)
    Medial + lateral + anterior1 (3)
4 Gustilo-Anderson classification[24]
    Type I8 (22)
    Type II24 (65)
    Type III5 (13)
5 Joint dislocation at initial assessment
    Yes32 (86)
    No5 (13)
Table 2 Male vs female characteristics, n (%)
Gender
Number of patients (n = 37)
Open fracture classification
Number of operations
Complications
Male7 (19) Type I = 3; Type II = 3; Type III = 1Range - 1 to 7; Median - 2 Superficial SSI - 2; Deep SSI - 3
Female30 (81) Type I = 21; Type II = 5; Type III = 4 Range - 1 to 9; Median - 2 Superficial SSI - 5; Deep SSI - 6
Table 3 Type of wounds and joint congruency vs type of closure at initial surgical intervention
Type of wound
Total No. of patients (%)
Primary closure (%)
Secondary (%)
Closure
Gustilo-Anderson classification Type I8 (22)7 (87)1 (13)
Gustilo-Anderson classification Type II24 (65)13 (54)11 (46)
Gustilo-Anderson classification Type III5 (13)1 (20)4 (80)
Dislocated joint32 (86)20 (62)12 (37)
Congruent joint5 (13)1 (20)4 (80)
Medial wound33 (89)19 (57)14 (42)
Lateral wound1 (3)1 (100)0
Anterior wound2 (5)02 (100)
Medial + lateral + anterior wound1 (3)1 (100)0
Table 4 Predictors of poor outcome in patients with open ankle fractures > 70 years old
No.
Predictors
Number of patients (%)
P value
1Diabetes mellitus 9 (24)0.041
2Anticoagulants/Antiplatelets intake: Warfarin/Apixaban; Aspirin/Clopidogrel; Dual antiplatelet therapy 20 (54); 9 (45); 9 (45); 2 (10)
3Cardiac history (IHD, AF) 21 (57) 0.045
4Chronic kidney disease 12 (32)
5Cancer history 8 (22) 0.008
6History of thromboembolic disease 3 (8) 0.001
7Steroids intake 9 (24) 0.75
Table 5 Male vs Female predictors of poor outcome (%)
Gender
Diabetes mellitus
Anticoagulants/Antiplatelets intake
Cardiac history
Chronic kidney disease
Cancer history
History of thromboembolic disease
Steroids intake
Male2 (28) 3 (43) 3 (43) 1 (14) 4 (57) 0 0
Female7 (23) 17 (57) 18 (60) 11 (37) 4 (13) 3 (10) 9 (30)