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. 2013 Mar 19;22(10):2184–2201. doi: 10.1007/s00586-013-2738-0

Table 4.

Latent class analysis and surgeons’ accuracy in classifying subtypes of A-type compression fractures (n = 86)

Likely injury subtype
A1 A3 A4
Cluster 1 Cluster 2 Cluster 3
Cluster size (%) 36.3 28.5 35.3
Surgeon 1
 1 Wedge/impaction (%) 92.0 6.9 3.8
 2 Split/pincer type (%) 7.3 5.1 3.5
 3 Incomplete burst (%) 0.3 77.2 0.2
 4 Complete burst (%) 0.5 10.8 92.5
Surgeon 2
 1 Wedge/impaction (%) 89.8 0.5 0.4
 2 Split/pincer type (%) 0.0 0.0 0.0
 3 Incomplete burst (%) 9.8 94.9 0.4
 4 Complete burst (%) 0.4 4.6 99.3
Surgeon 3
 1 Wedge/impaction (%) 90.4 4.4 0.4
 2 Split/pincer type (%) 0.0 0.0 0.0
 3 Incomplete burst (%) 9.2 91.0 0.5
 4 Complete burst (%) 0.4 4.6 99.2
Surgeon 4
 1 Wedge/impaction (%) 95.5 5.5 0.4
 2 Split/pincer type (%) 0.0 0.0 3.3
 3 Incomplete burst (%) 4.1 89.8 0.3
 4 Complete burst (%) 0.5 4.7 96.0
Surgeon 5
 1 Wedge/impaction (%) 84.7 17.2 0.4
 2 Split/pincer type (%) 3.6 0.0 0.0
 3 Incomplete burst (%) 0.2 57.7 0.2
 4 Complete burst (%) 11.5 25.0 99.4
Classification accuracies
 Median (%) 90.4 89.9 99.2
 Range 84.7–95.6 57.7–94.9 92.5–99.4

Only one case was clearly identified as an A2 (split/pincer type) fracture by the surgeons. Hence, this analysis was implemented after excluding this case. The model was consistent with three fracture classes including A1, A3 and A4 fractures. Incorrect classification into the A2 category was, however, possible