Ankle Osteoarthritis

Barg, Alexej; Pagenstert, Geert; Hügle, Thomas; Gloyer, Marcel; Wiewiorski, Martin; Henninger, Heath B.; Valderrábano, Víctor

doi:10.1016/j.fcl.2013.06.001

Cited by 168 publications

(52 citation statements)

References 66 publications

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“…Our results support the known relationship between injury and OA at the ankle,(4, 6) with a somewhat smaller magnitude. In our cohort, 11% reported any injury, increasing to about 20% among those with radiographic ankle OA, with an adjusted odds ratio of about 2.…”

Section: Discussionsupporting

confidence: 77%

“…(1) Although ankle OA is less commonly seen clinically than hip and knee OA,(2, 3) there are no community-based studies of the epidemiology of ankle OA to substantiate the widely quoted (4–6) 1% frequency of this condition. Most studies in ankle OA are of end-stage clinical populations, (5–7) which have also suggested that the etiology of ankle OA is almost always post-traumatic.…”

Section: Introductionmentioning

confidence: 99%

“…Most studies in ankle OA are of end-stage clinical populations, (5–7) which have also suggested that the etiology of ankle OA is almost always post-traumatic. (4, 8–10) This is in contrast to hip and knee OA, which are more often considered primary (although injury is an important risk factor); one study estimated that while 1.6% of hip and 9.8% of knee OA were post-traumatic, 79.5% of ankle OA was secondary to trauma. (11) The difference may be attributable at least in part to the unique anatomical and biomechanical characteristics of the ankle compared to hip and knee (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…smaller contact area, higher proteoglycan density, lower shear forces). (4, 12) Recently Kraus et al, identified radiographic ankle OA in 15% of individuals with symptomatic knee OA, yet less than 5% reported any prior injury or surgery,(13) suggesting that there may be a greater burden of ankle OA than currently appreciated, and that other risk factors typically associated with OA, such as obesity, may be contributing.…”

Section: Introductionmentioning

confidence: 99%

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A Cross-sectional Analysis of Radiographic Ankle Osteoarthritis Frequency and Associated Factors: The Johnston County Osteoarthritis Project

Lateef

Golightly²,

Renner³

et al. 2017

J Rheumatol

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Objective As there are no epidemiologic data regarding the frequency of ankle OA in a general population, we sought to explore this disabling condition in a large, well-characterized community-based cohort of older individuals. Methods Cross-sectional data, including ankle radiographs, were from the most recent data collection (2013–5) of the Johnston County OA Project. Radiographic ankle OA (rAOA) was defined as a Kellgren-Lawrence Grade (KLG) of ≥ 2 on weight-bearing lateral and mortise radiographs. The presence of pain, aching, or stiffness in the ankles as well as history of ankle injury (limiting ability to walk for at least 2 days) were assessed. Chi-square statistics (categorical variables) and t-tests (continuous variables) were used to compare all participant characteristics by rAOA status. Joint-based logistic regression models with generalized estimating equations were used to examine associations of rAOA and covariates of interest (age, BMI, sex, race, ankle symptoms, and injury history). Results Of 864 participants with available data, 68% were women, 34% were African American, with a mean age of 72 years and BMI of 31 kg/m2. Nearly 7% of this sample had rAOA. Increasing age, high BMI, history of ankle injury, and presence of ankle symptoms were all independently associated with greater odds of having rAOA; no significant differences were seen by sex or race. Conclusions The frequency of rAOA was higher than estimates generally quoted in the literature. While injury was an important contributor, other factors such as age, BMI, and symptoms, were also significantly associated with rAOA.

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Section: Discussionsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Cross-sectional Analysis of Radiographic Ankle Osteoarthritis Frequency and Associated Factors: The Johnston County Osteoarthritis Project

Lateef

Golightly²,

Renner³

et al. 2017

J Rheumatol

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“…Injuries likely accelerate progression to OA in weight bearing joints by altering joint alignment and biomechanics, thereby changing the magnitudes and locations of peak joint forces during movements, resulting in abnormal loading of the cartilage, subchondral bone, and ligamentous structures. Although OA of the ankle [ 2 ] is less common than OA of other lower body joints, the etiology is predominantly posttraumatic [ 2 ], in contrast to “primary” OA most often seen in the hip and knee. We recently reported an 80% higher odds of ankle OA among those with prior ankle injury [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Cross‐sectional associations between variations in ankle shape by statistical shape modeling, injury history, and race: the Johnston County Osteoarthritis Project

Nelson

Golightly

Lateef

et al. 2017

Journal of Foot and Ankle Research

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BackgroundInjury is an important risk factor for osteoarthritis (OA), a highly prevalent and disabling joint disease. Joint shape is linked to OA, but the interplay of injury and joint shape and their combined role in OA, particularly at the ankle, is not well known. Therefore, we explored cross-sectional associations between ankle shape and injury in a large community-based cohort.MethodsAnkles without radiographic OA were selected from the current data collection of the Johnston County OA Project. Ankles with self-reported prior injury were included as injury cases (n = 108) along with 1:1 randomly selected non-injured ankles. To define ankle shape, a 68 point model on weight-bearing lateral ankle radiographs was entered into a statistical shape model, producing a mean shape and a set of continuous variables (modes) representing variation in that shape. Nineteen modes, explaining 80% of shape variance, were simultaneously included in a logistic regression model with injury status as the dependent variable, adjusted for intra-person correlation, sex, race, body mass index (BMI), baseline OA radiographic grade, and baseline symptoms.ResultsA total of 194 participants (213 ankles) were included; mean age 71 years, BMI 30 kg/m2, 67% white and 71% women. Injured ankles were more often symptomatic and from whites. In a model adjusted only for intra-person correlation, associations were seen between injury status and modes 1, 6, 13, and 19. In a fully adjusted model, race strongly affected the estimate for mode 1 (which was no longer statistically significant).ConclusionsThis study showed variations in ankle shape and history of injury as well as with race. These novel findings may indicate a change in ankle morphology following injury, or that ankle morphology predisposes to injury, and suggest that ankle shape is a potentially important factor in the development of ankle OA.

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Accuracy of patient‐specific instrumentation for implant positioning in custom‐made total ankle arthroplasty

Mazzotti,

Zielli,

Arceri

et al. 2024

J. exp. orthop.

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PurposeThis retrospective radiological analysis aimed to assess the accuracy of implant positioning in patients with ankle arthritis undergoing custom‐made total ankle arthroplasty (TAA) with patient‐specific instrumentation (PSI) compared with preoperative planning.MethodsPatients who underwent custom‐made TAA with PSI from January 2018 to March 2023 were retrospectively evaluated, focusing on the tibial anterior surface (TAS) angle, tibial lateral surface (TLS) angle and tibiotalar ratio (TTR). Additionally, data regarding the time from the preoperative computed tomography (CT) scan to surgery, associated procedures and complications were recorded.ResultsNo associated procedures were performed, and only one intraoperative complication, an iatrogenic lateral malleolar fracture, was recorded. In the coronal plane, custom‐made TAA with PSI consistently achieved precise positioning of prosthetic components, even in cases with significant preoperative deformities or bone deficits. However, a statistically significant deviation from the planned values was observed in the sagittal plane (p = 0.007). A notable correlation was identified between the time elapsed from the preoperative CT scan to surgery and the deviation from the planned to the actual postoperative TAS angle (p < 0.001).ConclusionThis study underscores the efficacy of PSI systems in achieving precise positioning in the coronal plane, in accordance with preoperative planning. In contrast, sagittal plane positioning did not demonstrate the same level of accuracy, as evidenced by a statistically significant difference between the planned and postoperative TLS values. Nevertheless, all measurements remained within the recommended range according to the existing literature.Level of EvidenceLevel IV.

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Ankle Osteoarthritis

Cited by 168 publications

References 66 publications

A Cross-sectional Analysis of Radiographic Ankle Osteoarthritis Frequency and Associated Factors: The Johnston County Osteoarthritis Project

A Cross-sectional Analysis of Radiographic Ankle Osteoarthritis Frequency and Associated Factors: The Johnston County Osteoarthritis Project

Cross‐sectional associations between variations in ankle shape by statistical shape modeling, injury history, and race: the Johnston County Osteoarthritis Project

Accuracy of patient‐specific instrumentation for implant positioning in custom‐made total ankle arthroplasty

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