CT-measurement predicts shortening of stable intertrochanteric hip fractures
Introduction
Intertrochanteric (IT) hip fractures can be classified as stable or unstable based on the fracture pattern which affects implant selection.1,2 Sliding hip screws (SHS) have been shown to have equivalent outcomes at lower cost compared to cephalomedullary nails (CMN) when used for stable fracture patterns.1,3 Stable fracture patterns have a fracture line obliquity that allows compression at the fracture site under physiologic loading. For this to occur a buttress for the proximal fragment to settle against must be present on the distal fragment.4,5 This buttress has been described as consisting of the posteromedial calcar and the lateral wall of distal fracture segment.2,6
More recently, patterns that affect the stability of the buttress – including coronal plane fractures of the proximal segment and fractures with thin but intact lateral walls on the distal fragment – have been identified as markers of unstable patterns that have higher all-cause failure rates when treated with a SHS.7,8 These variants may occur as part of what has been thought of as stable AO/OTA 31A1 and 31A2 pattern fractures.9 They can be difficult to detect on injury plain film x-rays taken in the emergency department, and therefore CT scans may be useful to better asses the fracture pattern.10
The ability to detect patterns predictive of fracture settling that causes substantial limb shortening after fixation of otherwise-stable fracture patterns remain poorly elucidated. SHS and CMN devices were designed to allow fracture sliding to improve union rates, and even substantial settling of the fracture may not be considered a mal-union.11 However, too much settling may cause a diminished abductor level arm and a limb length discrepancy (LLD) which are associated with worse functional outcomes, albeit no decrease in survival.12,13 A symptomatic threshold of shortening has not been defined for the ambulatory hip fracture population, but LLDs have been extensively studied for the similarly-aged hip arthroplasty population. A post-operative LLD of greater than 10 mm has been shown to lead to lower Oxford Hip Scores and physical function three years after total hip arthroplasty.14 Although controversial, an LLD of 1 cm or less is commonly used as an acceptable threshold that is well-tolerated after arthroplasty.14,15
One characteristic of a stable IT fractures that might predict substantial settling of a fracture is the impaction of the fracture present on the initial imaging. Fractures that have impaction of the lateral edge of the proximal segment against the lateral wall of the shaft will have a large void present after reduction. These impacted fracture patterns may be at risk for sliding back to the injury position if there is no implant, such as a CMN, to fill that void.16 This impaction of the fracture site at injury cannot be reliably seen on plain film x-rays but is easily seen and measurable on CT scans. The purpose of this study was to determine if measuring impaction could be predictive of an IT fracture that is at risk of substantial shortening. Specifically, we hypothesized that: 1) impaction is easily and reliably measured on CT scans, and 2) the amount of impaction measured on the coronal reformats of the pre-operative CT scan will predict the risk of post-operative shortening for stable fracture patterns when a SHS is used but not when a CMN is used.
Section snippets
Methods
A retrospective chart review was performed of all patients with an IT fracture treated at an academic level-one trauma center from 1/2005 to 10/2016.825 patients were identified, and 141 (50 males, 91 females; age 77 ± 11 years) met our inclusion criteria: an AO/OTA 31A1 or 31A2 fracture pattern, pre-operative x-rays and CT scan that were available to review, operative treatment with a CMN (n = 105) or a SHS (n = 36), and at least 6 weeks of radiographic and clinical follow-up (Table 1).
All
Results
There were no differences in age or gender between the CMN and SHS groups. There was a difference in the distribution of AO/OTA fracture types between the two groups (p = 0.0005) (Table 1). 11/141 (8%) fractures shortened ≥ 15 mm: a higher proportion of SHS patients shortened ≥ 15 mm compared to the CMN group [6/36 (17%) for the SHS group vs. 5/105 (5%)] (p = 0.0268).
All measurements had a good or excellent inter-observer reliability based on the ICC. The LWT (Fig. 1) had the worst ICC (0.63);
Discussion
Our study is the first, to our knowledge, to find a radiographic measurement that is predictive of ≥15 mm of fracture site shortening or ≥1 cm of limb shortening for stable AO/OTA 31A1 and 31A2 type IT fractures treated with a SHS. The CTP measures impaction of the proximal femur into the lateral wall of the shaft and has an excellent inter-observer reliability (ICC = 0.83). Stable impacted IT fractures with a CTP of <9 mm have a high risk of shortening ≥15 mm when treated with a SHS. The same
Conclusion
This study introduces a novel CT-based measurement named the Coronal Thin Point. The CTP is a simple and reliable measure that quantifies impaction at the time of injury of IT fractures. Using a threshold of 9 mm, the CTP can identify which fractures are at risk of shortening ≥1.5 cm while healing. It remains unclear which patients will be symptomatically affected by this degree of shortening, but this study demonstrates that IT fractures otherwise considered stable with substantial impaction
Acknowledgements
None.
Compliance with ethical standards
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or the comparable ethical standards.
For this type of study formal consent is not required.
The study was approved by our ethical committee.
Conflicts of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
Funding
No funding sources to be declared.
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2022, Computational and Mathematical Methods in Medicine
- 1
Contributions: study concept, study design, literature review, data collection, data analysis, interpretation of results, direct writing contribution, editing and review