| Literature DB >> 33959802 |
Shengjie Tian1,2, Shimin Chang3, Yaogang Lu2, Jianhua Zhu2, Xuqiang Kong4.
Abstract
BACKGROUND: Due to the special anatomy of the lower leg, tibial diaphyseal fracture causes increased intracompartmental pressure (ICP). Not only is this increased ICP the manifestation of skeletal muscle injury, but it induces further deterioration of the injury. The aim of this study was to assess the association between short-term ICP elevation and long-term skeletal muscle recovery after severe limb trauma.Entities:
Keywords: Intracompartmental pressure; Magnetic resonance; Skeletal muscle; Tibial diaphyseal fracture; Trauma
Mesh:
Year: 2021 PMID: 33959802 PMCID: PMC8102659 DOI: 10.1186/s10195-021-00579-7
Source DB: PubMed Journal: J Orthop Traumatol ISSN: 1590-9921
Fig. 1Flow diagram for patients throughout the study
Fig. 2A 22-gauge intravenous catheter filled with normal saline was inserted into the anterior compartment of the affected limb and connected to an invasive arterial blood pressure monitor system (IABPMS) to measure and monitor the ICP continuously
Fig. 3a Accumulated ICP: the sum of the hourly ICP values exceeding 30 mmHg. b Accumulated ΔP: the sum of the hourly ΔP values below 50 mmHg
Fig. 4a The traced outlines of anterior compartments of the affected and normal limbs in the axial plane, which were used to measure anterior compartment cross-sectional areas (CSAs). The cross-sectional area ratio (CSAR) of the affected limb to the normal limb was calculated to evaluate the recovery of skeletal muscle volume. b T2-weighted image obtained in the coronal plane. Two regions of interest (ROIs), each with an area of 1 cm2, were chosen at identical locations in the affected and normal limbs . Vascular and fascial structures were kept outside the ROIs. The average T2-weighted signal intensity (T2SI) of the ROI was calculated for the affected limb and for the normal limb; the ratio of these T2SIs—the average T2-weighted signal intensity ratio (T2SIR)—was used to assess the recovery of skeletal muscle internal structures. Note the high-signal lesion in the medullary cavity of the affected tibia after the removal of the intramedullary nail
Demographics of the patients who were recruited and completed the study (n = 46)
| Characteristic | Value |
|---|---|
| Age at injury (years) | 22–72 (48.76 ± 15.46) |
| Female sex (#, %) | 20 (43.5%) |
| Length of follow-up (months) | 11–30 (19.23 ± 5.01) |
| Fracture union time (weeks) | 15–46 (23.17 ± 5.82) |
| Time from initial surgery to nail removal (months) | 9–29 (17.11 ± 4.93) |
| Time from nail removal to MR imaging (weeks) | 6–11 (8.48 ± 1.53) |
| ICP data | |
| Maximum ICP (mmHg) | 35–71 (48.33 ± 8.22) |
| Minimum Δ | 20–46 (36.33 ± 5.47) |
| Accumulated ICP (mmHg h) | 21–298 (102.67 ± 60.11) |
| Accumulated Δ | 13–203 (73.35 ± 40.99) |
| MR imaging data | |
| Cross-sectional area ratio (CSAR) | 0.59–1.02 (0.85 ± 0.10) |
| T2-weighted signal intensity ratio (T2SIR) | 0.98–1.63 (1.17 ± 0.15) |
Pearson product-moment correlation coefficients (PPCCs) between the ICP data and MR imaging data
| Maximum ICP | Minimum Δ | Accumulated ICP | Accumulated Δ | |
|---|---|---|---|---|
| Cross-sectional area ratio (CSAR) | − 0.588 | 0.623 | − 0.622 | − 0.793 |
| T2-weighted signal intensity ratio (T2SIR) | 0.566 | − 0.604 | 0.642 | 0.775 |
Results of simple linear regression analyses of the associations between the ICP data and the MR imaging data
| Cross-sectional area ratio (CSAR) | T2-weighted signal intensity ratio (T2SIR) | |||||||
|---|---|---|---|---|---|---|---|---|
| Regression coefficient | Constant | SEE | Regression coefficient | Constant | SEE | |||
| Maximum ICP | − 0.007 | 1.187 | 0.331 | 0.080 | 0.010 | 0.674 | 0.304 | 0.125 |
| Minimum Δ | 0.011 | 0.448 | 0.375 | 0.076 | − 0.017 | 1.771 | 0.350 | 0.121 |
| Accumulated ICP | − 0.001 | 0.954 | 0.373 | 0.077 | 0.002 | 1.007 | 0.399 | 0.116 |
| Accumulated Δ | − 0.002 | 0.989 | 0.621 | 0.060 | 0.003 | 0.964 | 0.591 | 0.096 |
Fig. 5a–d Simple linear regression analyses of CSAR with the maximum ICP, minimum ΔP, accumulated ICP, and accumulated ΔP. e–h Simple linear regression analyses of T2SIR with the maximum ICP, minimum ΔP, accumulated ICP, and accumulated ΔP