Boutonnière Deformity After Correction of Childhood Swan-Neck Deformity: A Case Report

Hand Surgery ◽  
2003 ◽  
Vol 08 (01) ◽  
pp. 119-120
Author(s):  
Alastair J. Graham ◽  
Anthony C. Berger

After a successful Littler procedure (spiral oblique retinacular ligament reconstruction) for swan-neck deformity, a 14-year-old patient developed progressive boutonnière deformity. We propose that the problem arose from gradual tightening of the tendon transfer as the finger grew.

2014 ◽  
Vol 39 (10) ◽  
pp. 1978-1981 ◽  
Author(s):  
Jong-Pil Kim ◽  
Jai-Hyang Go ◽  
Chang-Hwan Hwang ◽  
Won-Jeong Shin

2021 ◽  
Author(s):  
Shogo Toyama ◽  
Daisaku Tokunaga ◽  
Shinji Tsuchida ◽  
Rie Kushida ◽  
Ryo Oda ◽  
...  

Abstract BackgroundAlthough drug therapy for rheumatoid arthritis (RA) has recently improved, treating patients with established disease, whose hands have three major deformities (thumb deformity, finger deformities, and ulnar drift), remains a challenge. The underlying complex pathophysiology makes understanding these deformities difficult, and comprehensive assessment methods require accumulated skill with long learning curves. We aimed to establish a simpler composite method to understand the pathophysiology of and alterations in the hand deformities of patients with RA.MethodsWe established a rheumatoid hand cohort in 2004 and clinically evaluated 134 hands (67 patients). We repeated the evaluations in 2009 (100 hands of 52 patients) and 2015 (63 hands of 37 patients) after case exclusion. Thumb deformities, finger deformities (swan-neck and boutonnière deformity), and ulnar drift were semi-quantitated and entered as parameters into a two-step cross-sectional cluster analysis for the data in 2004. The parameters in each cluster were plotted at each evaluation point. Two-way analysis of covariance was used to examine whether differences existed between evaluation points and clusters of deformity parameters.ResultsFive clusters most appropriately described hand deformity: (i) cluster 1, minimal deformity; (ii) cluster 2, type 1 thumb deformity; (iii) cluster 3, thumb deformity and severe boutonnière deformity; (iv) cluster 4, type 2 or 3 thumb deformity and severe ulnar drift; and (v) cluster 5, thumb deformity and severe swan-neck deformity. Clusters 1 and 2 had higher function than cluster 5, and cluster 3 had moderate function. Clusters 1–4 had similar disease duration but showed different paths of deformity progression from disease onset. Clusters 1 and 2 represented conservative deformity parameters and clusters 3, 4, and 5 represented progressive deformity parameters. Over time, thumb deformity evolved into other types of deformities and swan-neck deformity worsened significantly.ConclusionsOur comprehensive analysis identified five deformity patterns and a progressive course in the rheumatoid hand. Knowledge of the characteristics of progressive deformity parameters may allow rheumatologists to more easily implement practical interventions and determine functional prognosis.


2020 ◽  
Vol 76 ◽  
pp. 338-340
Author(s):  
Takema Nakashima ◽  
Motoki Sonohata ◽  
Hideyuki Senba ◽  
Akira Hashimoto ◽  
Sakumo Kii ◽  
...  

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Shogo Toyama ◽  
Daisaku Tokunaga ◽  
Shinji Tsuchida ◽  
Rie Kushida ◽  
Ryo Oda ◽  
...  

Abstract Background Although drug therapy for rheumatoid arthritis (RA) has recently improved, treating patients with established disease, whose hands have three major deformities (thumb deformity, finger deformities, and ulnar drift), remains a challenge. The underlying complex pathophysiology makes understanding these deformities difficult, and comprehensive assessment methods require accumulated skill with long learning curves. We aimed to establish a simpler composite method to understand the pathophysiology of and alterations in the hand deformities of patients with RA. Methods We established a rheumatoid hand cohort in 2004 and clinically evaluated 134 hands (67 patients). We repeated the evaluations in 2009 (100 hands of 52 patients) and 2015 (63 hands of 37 patients) after case exclusion. Thumb deformities, finger deformities (swan-neck and boutonnière deformity), and ulnar drift were semi-quantitated and entered as parameters into a two-step cross-sectional cluster analysis for the data in 2004. The parameters in each cluster were plotted at each evaluation point. Two-way analysis of covariance was used to examine whether differences existed between evaluation points and clusters of deformity parameters. Results Five clusters most appropriately described hand deformity: (i) cluster 1, minimal deformity; (ii) cluster 2, type 1 thumb deformity; (iii) cluster 3, thumb deformity and severe boutonnière deformity; (iv) cluster 4, type 2 or 3 thumb deformity and severe ulnar drift; and (v) cluster 5, thumb deformity and severe swan-neck deformity. Clusters 1 and 2 had higher function than cluster 5, and cluster 3 had moderate function. Clusters 1–4 had similar disease duration but showed different paths of deformity progression from disease onset. Clusters 1 and 2 represented conservative deformity parameters and clusters 3, 4, and 5 represented progressive deformity parameters. Over time, thumb deformity evolved into other types of deformities and swan-neck deformity worsened significantly. Conclusions Our comprehensive analysis identified five deformity patterns and a progressive course in the rheumatoid hand. Knowledge of the characteristics of progressive deformity parameters may allow rheumatologists to more easily implement practical interventions and determine functional prognosis.


PM&R ◽  
2011 ◽  
Vol 3 ◽  
pp. S170-S170
Author(s):  
George W. Deimel ◽  
David Froehling ◽  
Richard Hurst ◽  
Sonia Jain

2020 ◽  
Author(s):  
Shogo Toyama ◽  
Ryo Oda ◽  
Daisaku Tokunaga ◽  
Shinji Tsuchida ◽  
Rie Kushida ◽  
...  

Abstract Background Although drug therapy in rheumatoid arthritis has recently improved, treating established rheumatoid hand consisting of three major deformities—thumb deformity, finger deformities, and ulnar drift—remains a challenge. Underlying complex pathophysiology makes it difficult to comprehensively understand these deformities, and comprehensive assessment methods require accumulated skill and long learning curves. We aimed to establish an easier composite method of understanding the pathophysiology using data from our cohort and cluster analysis. Methods We established a rheumatoid hand cohort in 2004, and clinically evaluated 134 hands (67 patients). We repeated the evaluations in 2009 and 2015, which provided data for 297 hands and 43 hands for cross-sectional and longitudinal analyses, respectively. Thumb deformities, finger deformities (swan-neck and boutonnière deformity), and ulnar drift were semi-quantified and entered as parameters into a two-step cluster (cross-sectional) analysis. Parameter distributions were considered to clarify each cluster’s characteristics. Next, hands with cluster change over the study period were reviewed to clarify deformity progression (longitudinal analysis). We also performed a stratified analysis between the clusters and the affected period to clarify whether long affected period plays an important role in deformity progression. Results We identified seven clusters: cluster 1: mild finger deformities; cluster 2: type 1 thumb deformity; cluster 3: type 2 thumb deformity and severe ulnar drift; cluster 4: type 3 or 4 thumb deformity and low or moderate swan-neck deformity; cluster 5: various thumb deformities and severe boutonnière deformity; cluster 6: type 1 thumb deformity and severe swan-neck deformity; and cluster 7: type 6 thumb deformity. The ulnar drift parameters were equally distributed among the clusters except for cluster 3. Larger cluster numbers generally indicated lower function. At the study endpoint, cluster 1 had changed mainly to cluster 2 or 4, cluster 2 changed to cluster 3, and cluster 7 was considered the final morphology with the lowest hand function. Patients affected for > 30 years had increased risk of rapid disability progression. Conclusions Our comprehensive assessment indicated seven deformity patterns and a progressive course in rheumatoid hand. Using patterns may provide rheumatologists with easier information for practical interventions and to determine functional prognosis.


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