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Background: Researches have used intra-compartmental infusion and ballon tourniquest to create high intra-compartmental pressure in animal models of Acute Compartment Syndrome (ACS). However, due to the large differences in the modeling methods and the evaluation criteria of ACS, further researches of its pathophysiology and pathogenesis are hindered. Currently, there is no ideal animal model for ACS and this study aimed to establish a reproducible, clinically relevant animal model. Methods: Blunt trauma and fracture were caused by the free falling of weights (0.5 kg, 1 kg, 2 kg) from a height of 40 cm onto the lower legs of rats, and the application of pressures of 100 mmHg, 200 mmHg, 300 mmHg and 400 mmHg to the lower limbs of rats using a modified pressurizing device for 6 h. The intra-compartmental pressure (ICP) and the pressure change (ΔP) of rats with single and combined injury were continuously recorded, and the pathophysiology of the rats was assessed based on serum biochemistry, histological and hemodynamic changes. Results: The ΔP caused by single injury method of different weights falling onto the lower leg did not meet the diagnosis criteria for ACS (< 30 mmHg). On the other hand, a combined injury method of a falling weight of 1.0 kg and the use of a pressurizing device with pressure of 300 mmHg or 400 mmHg for 6 h resulted in the desired ACS diagnosis criteria with a ΔP value of less than 30 mmHg. The serum analytes, histological damage score, and fibrosis level of the combined injury group were significantly increased compared with control group, while the blood flow was significantly decreased compared with control group. Conclusion: We successfully established a new preclinical ACS-like rat model, by the compression of the lower leg of rats with 300 mmHg pressure for 6 h and blunt trauma by 1.0 kg weight falling. [ABSTRACT FROM AUTHOR]

Background: Surgical site infection (SSI) is one of the most common complications of orthopedic surgery, which can result in fever, pain, and even life-threatening sepsis. This study aimed to determine the predictors of SSI after fasciotomy in patients with acute leg compartment syndrome (ALCS). Methods: We collected information on 125 ALCS patients who underwent fasciotomy in two hospitals between November 2013 and January 2021. Patients with SSI were considered as the SSI group and those without SSI as the non-SSI group. Univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analyses were used to evaluate patient demographics, comorbidities, and admission laboratory examinations. Results: In our research, the rate of SSI (26 of 125) was 20.8%. Several predictors of SSI were found using univariate analysis, including body mass index (BMI) (p = 0.001), patients with open fractures (p = 0.003), and patients with a history of smoking (p = 0.004). Besides, the levels of neutrophil (p = 0.022), glucose (p = 0.041), globulin (p = 0.010), and total carbon dioxide were higher in the SSI group than in the non-SSI group. According to the results of the logistic regression analysis, patients with open fractures (p = 0.023, OR 3.714), patients with a history of smoking (p = 0.010, OR 4.185), and patients with a higher BMI (p = 0.014, OR 1.209) were related predictors of SSI. Furthermore, ROC curve analysis indicated 24.69 kg/m2 as the cut-off value of BMI to predict SSI. Conclusions: Our results revealed open fractures, BMI, and smoking history as independent risk factors for SSI following fasciotomy in patients with ALCS and determined the cut-off value of BMI, enabling us to individualize the evaluation of the risk for SSI to implement early targeted treatments. [ABSTRACT FROM AUTHOR]

We aimed to identify the risk factors associated with an extended length of hospital stay (eLOS) in older hip-fracture patients and to explore the relationships between eLOS and mortality and functional outcomes. In this retrospective analysis of surgically treated intertrochanteric fracture (IF) patients, all variables were obtained and compared between the eLOS group and the normal LOS group. All participants were followed-up for a minimum of two years and the relation between the eLOS and all-cause mortality and functional outcomes were compared. After adjustment for potential confounders, we identified that patients with high modified Elixhauser's Comorbidity Measure (mECM) had the highest likelihood of eLOS, followed by obesity, admission in winter, living in urban, pulmonary complications, admission in autumn, and time from injury to surgery. In addition, our results showed no significant difference in the mortality and functional outcomes between the two groups during follow-up. By identifying these risk factors in the Chinese geriatric population, it may be possible to risk-stratify IF patients and subsequently streamline inpatient resource utilization. However, the differences between health care systems must be taken into consideration. Future studies are needed to preemptively target the modifiable risk factors to demonstrate benefits in diminishing eLOS. [ABSTRACT FROM AUTHOR]

Fracture blister (FB) is a complication of fracture, which damages to the skin integrity and increases the risk of infection. Inflammation plays an important role in the formation and development of FBs, but its specific mechanism is still unclear. The aim of this study was to investigate the patterns and dynamic changes of inflammatory cytokines in fracture blister fluid (FBF) and plasma. FBF and plasma were collected simultaneously from patients with lower extremity fractures with FBs on the first and fifth day after blisters formation. 92 inflammation-related protein biomarkers were measured in plasma and FBF using Proximity Extension Assay (PEA). We analyzed the cytokine patterns and their dynamic changes in FBF and plasma. Cytokine patterns in plasma from FB patients, fracture without blister patients, and healthy subjects were also analyzed. The cytokine pattern in FBF and plasma of patients with FBs was different but 11 cytokines were significantly correlated in the two sample types. 23 cytokines were different in plasma across FB patients, fracture without blister patients and healthy subjects. In the analysis of plasma from FB patients and fracture without blister patients, 15 cytokines were significantly different and they may be potential risk factors for the occurrence of FBs. The FBF and plasma showed different cytokine patterns in the early and late stages, with 50 cytokines significantly changed in FBF and 20 cytokines in plasma. The different cytokine patterns in plasma between FB patients and fracture without blisters patients may be the potential factors for the occurrence of blisters. The cytokine patterns in FBF and plasma showed a dynamic change from the inflammatory stage to the proliferative and repair stage, which indicates that FBs may have new clinical importance in addition to being a soft tissue injury. [ABSTRACT FROM AUTHOR]

Study design : This is the first meta-analysis focusing on the risk factors related to ACS after tibial fractures. Background: Acute compartment syndrome (ACS) is a serious complication that affects 2–9% of tibial fracture patients. It is importance of identifying the predictors of ACS in patients with tibial fractures. Questions/purposes: We performed a meta-analysis to identify the risk factors of ACS after tibial fracture. Methods: We searched articles in the English databases, such as PubMed, Embase, and the Cochrane Library and the Chinese databases including CNKI and WAN FANG. We collected data related to ACS from included studies and analyzed data by RevMan 5.3 and STATA 12.0. Results: The rate of ACS was 2.7% (10,708 of 398,414 patients) from 16 included articles. Our data showed that younger age (p < 0.00001, OR = − 7.93, 95% CI [− 9.34, − 6.25]), male patients (p < 0.00001, OR = 2.17, 95% CI [2.07, 2.28]), patients without a history of hypertension (p < 0.00001, OR = 0.69, 95% CI [0.64, 0.74]), with a history of smoking (p < 0.00001, OR = 1.38, 95% CI [1.30, 1.46]), and patients with fibular fractures (p = 0.001, OR = 2.68, 95% CI [1.47, 4.87]), closed fracture (p = 0.02, OR = 0.86, 95% CI [0.75, 0.98]), high-energy injury (p = 0.003, OR = 0.37, 95% CI [0.19, 0.71]), motorized accident (p = 0.0009, OR = 0.41, 95% CI [0.24, 0.69]), proximal fracture, AO-C-type fracture, comminuted fracture, and Schatzker grade IV–VI fracture were associated with the development of ACS. Additionally, femoral displacement ratio and tibial widening ratio in the ACS groups were significantly higher than in the non-ACS group. Conclusion: Many factors were found to be associated with the development of ACS following tibial fractures. We provide references when we met the above characteristics of patients to rapidly identify and highly concern ACS. [ABSTRACT FROM AUTHOR]

Background: Complete fractures and dislocations of the lower cervical spine are usually associated with severe spinal cord injury. However, a very small number of patients do not have severe spinal cord injury symptoms, patients with normal muscle strength or only partial nerve root symptoms, known as "lucky fracture dislocation". The diagnosis and treatment of such patients is very difficult. Recently, we successfully treated one such patient. Case presentation: A 73-year-old male patient had multiple neck and body aches after trauma, but there was sensory movement in his limbs. However, preoperative cervical radiographs showed no significant abnormalities, and computed tomography (CT) and magnetic resonance imaging (MRI) confirmed complete fracture and dislocation of C7. Before operation, the halo frame was fixed traction, but the reduction was not successful. Finally, the fracture reduction and internal fixation were successfully performed by surgery. The postoperative pain of the patient was significantly relieved, and the sensory movement of the limbs was the same as before. Two years after surgery, the patient's left little finger and ulnar forearm shallow sensation recovered, and the right flexion muscle strength basically returned to normal. Conclusion: This case suggests that when patients with trauma are encountered in the clinic, they should be carefully examined, and the presence of cervical fracture and dislocation should not be ignored because of the absence of neurological symptoms or mild symptoms. In addition, positioning during handling and surgery should be particularly avoided to increase the risk of paralysis. [ABSTRACT FROM AUTHOR]

Study Design: A meta-analysis.Background: Hip fracture (HF), as common geriatric fracture, is related to increased disability and mortality. Preoperative deep vein thrombosis (DVT) is one of the most common complications in patients with hip fractures, affecting 8-34.9% of hip fracture patients. The study aimed to assess the risk factors of preoperative DVT after hip fractures by meta-analysis.Methods: An extensive search of the literature was performed in the English databases of PubMed, Embase, and the Cochrane Library; and the Chinese databases of CNKI and WAN FANG. We collected possible predictors of preoperative DVT from included studies, and data analysis was conducted with RevMan 5.3 and STATA 12.0.Results: A total of 26 English articles were included, and the rate of DVT was 16.6% (1627 of 9823 patients) in our study. Our findings showed that advanced age [p = 0.0003, OR = 0.13 95% CI (0.06, 0.21)], female patients [p = 0.0009, OR = 0.82 95% CI (0.72, 0.92)], high-energy injury [p = 0.009, OR = 0.58 95% CI (0.38, 0.87)], prolonged time from injury to admission [p < 0.00001, OR = 0.54 95% CI (0.44, 0.65)], prolonged time from injury to surgery [p < 0.00001, OR = 2.06, 95% CI (1.40, 2.72)], hemoglobin [p < 0.00001, OR = - 0.32 95% CI (- 0.43, - 0.21)], coronary heart disease [p = 0.006, OR = 1.25 95% CI (1.07, 1.47)], dementia [p = 0.02, OR = 1.72 95% CI (1.1, 2.67)], liver and kidney diseases [p = 0.02, OR = 1.91 95% CI (1.12, 3.25)], pulmonary disease [p = 0.02, OR = 1.55 95% CI (1.07, 2.23)], smoking [p = 0.007, OR = 1.45 95% CI (1.11, 1.89)], fibrinogen [p = 0.0005, OR = 0.20 95% CI (0.09, 0.32)], anti-platelet drug [p = 0.01, OR = 0.51 95% CI (0.30, 0.85)], C-reactive protein [p = 0.02, OR = 5.95 95% CI (1.04, 10.85)], < 35 g/l albumin [p = 0.006, OR = 1.42 95% CI (1.1, 1.82)], and thrombosis history [p < 0.00001, OR = 5.28 95% CI (2.85, 9.78)] were risk factors for preoperative DVT.Conclusions: Many factors, including advanced age, female patients, high-energy injury, prolonged time from injury to admission, prolonged time from injury to surgery, patients with a history of coronary heart disease, dementia, liver and kidney diseases, pulmonary disease, smoking, and thrombosis, fibrinogen, C-reactive protein, and < 35 g/l albumin, were found to be associated with preoperative DVT. Our findings suggested that the patient with above characteristics might have preoperative DVT.Level Of Evidence: Level III. [ABSTRACT FROM AUTHOR]

Acute compartment syndrome (ACS) is a severe orthopedic issue that, if left untreated, can result in lasting nerve and muscle damage or even necessitate amputation. The association between admission laboratory blood test indicators and the occurrence of ACS in patients with tibial diaphysis fractures is currently a subject of debate. The objective of this research was to identify the contributing factors for ACS in individuals suffering from tibial diaphysis fractures. In this retrospective study, we collected data on a total of 705 individuals from our hospital, comprising 86 ACS patients and 619 non-ACS patients with tibial diaphysis fractures. These participants were categorized into two distinct groups: the ACS group and the non-ACS group. Despite the inherent limitations associated with retrospective analyses, such as potential biases in data collection and interpretation, we conducted a comprehensive analysis of demographics, comorbidities, and admission lab results. Our analytical approach included univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis techniques, aiming to mitigate these limitations and provide robust findings. The statistical analysis revealed several predictors of ACS, including gender (p = 0.011, OR = 3.200), crush injuries (p = 0.004, OR = 4.622), lactic dehydrogenase (LDH) levels (p < 0.001, OR = 1.003), and white blood cell (WBC) count (p < 0.001, OR = 1.246). Interestingly, the study also found that certain factors, such as falls on the same level (p = 0.007, OR = 0.334) and cholinesterase (CHE) levels (p < 0.001, OR = 0.721), seem to provide a degree of protection against ACS. In order to better predict ACS, the ROC curve analysis was employed, which determined threshold values for LDH and WBC. The established cut-off points were set at 266.26 U/L for LDH and 11.7 × 109 cells per liter for WBC, respectively. Our research has successfully pinpointed gender, crush injuries, LDH levels, and white blood cell (WBC) count as crucial risk factors for the development of ACS in patients experiencing tibial diaphysis fractures. Furthermore, by establishing the cut-off values for LDH and WBC, we have facilitated a more personalized assessment of ACS risk, enabling clinical doctors to implement targeted early interventions and optimize patient outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Electrical injuries rarely result in fractures, such as long bone fractures and spinal fractures. A few articles have reported osteoporosis vertebral compression fractures (OVCFs) caused by electrical injuries. Here, we present a rare case of 37-year-old male suffering from the 9th thoracic (T9) and 5th lumbar (L5) OVCFs after receiving a electric shock. Case presentation: A 37-year-old Han male experienced an electric shock (480 V direct current) at the working time and felt immediately serious back pain. He did not fall and lose consciousness. X-ray and magnetic resonance imaging showed acute OVCFs, as well as dual-energy X-ray absorptiometry indicated osteoporosis. Normal laboratory tests can avoid secondary osteoporosis resulting from metabolic diseases and tumors. Finally, he was diagnosed with acute discontinuous OVCFs (T9 and L5). The patient denied having a history of back pain, whereas, he had a history of smoking, alcohol abuse, and congenital heart disease (tetralogy of Fallot) were associated with osteoporosis. Considering no local kyphosis and < 50% anterior body compression, we selected conservative treatment for this patient. At a 1-year and 3-year follow-up, the lateral thoracic and lumbar radiography demonstrated no instability of the spine, and the back pain has been relieved. Conclusions: This rare case reminds us the importance of consulting a detailed medical history when we encounter young patients receiving electrical injuries. Discontinuously OVCFs must not be overlooked, even though we encounter a young man. [ABSTRACT FROM AUTHOR]

Acute compartment syndrome (ACS) is a severe medical condition that, if left untreated, can cause permanent nerve and muscle damage, and may even require amputation. The objective of this study was to identify the risk factors associated with the development of ACS in patients with both-bone fractures of the forearm. Between November 2013 and January 2021, a retrospective data collection was conducted on 611 individuals who experienced both-bone forearm fractures at a level 1 trauma center. Among these patients, 78 patients were diagnosed with ACS, while the remaining 533 patients did not have ACS. Based on this division, the patients were categorized into two groups: the ACS group and the non-ACS group. Demographics (including factors such as age, gender, body mass index, crush injury, etc.), comorbidities (including conditions such as diabetes, hypertension, heart disease, anemia, etc.), and admission lab results (including complete blood count, comprehensive metabolic panel, and coagulation profiles, etc.) were analyzed using univariate analysis, logistic regression, and ROC curve analysis. Predictors of ACS were identified through the final multivariable logistic regression analysis, which revealed that crush injury (p < 0.001, OR = 10.930), the levels of neutrophils (NEU) (p < 0.001, OR = 1.338) and the levels of creatine kinase (CK) (p < 0.001, OR = 1.001) were significant risk factors. Additionally, age (p = 0.045, OR = 0.978) and albumin (ALB) level (p < 0.001, OR = 0.798) were found to provide protective effects against ACS. Furthermore, the receiver operating characteristic (ROC) curve analysis determined cut-off values for NEU and CK to predict ACS: 7.01/L and 669.1 U/L respectively. Our study identified crush injury, NEU, and CK as significant risk factors for ACS in patients with both-bone forearm fractures. We also determined the cut-off values of NEU and CK, allowing for the individualized evaluation of ACS risk and the implementation of early targeted treatments. [ABSTRACT FROM AUTHOR]

Purpose: The predictors of muscle necrosis after acute compartment syndrome (ACS) remain debated. This study aimed to investigate the predictors for muscle necrosis in ACS patients. Methods: We collected data on ACS patients following fractures from January 2010 to November 2022. Patients were divided into the muscle necrosis group (MG) and the non-muscle necrosis group (NG). The demographics, comorbidities, and admission laboratory indicators were computed by univariate analysis, logistic regression analysis, and receiver-operating characteristic (ROC) curve analysis. Results: In our study, the rate of MN was 37.6% (83 of 221). Univariate analysis showed that numerous factors were associated with muscle necrosis following ACS. Logistic regression analysis indicated that crush injury (p = 0.007), neutrophil (NEU, p = 0.001), creatine kinase myocardial band (CKMB, p = 0.047), and prothrombin time (PT, p = 0.031) were risk factors. Additionally, ROC curve analysis identified 11.415 109/L, 116.825 U/L, and 12.51 s as the cut-off values for NEU, CKMB, and PT to predict muscle necrosis, respectively. Furthermore, the combination of NEU, CKMB, and PT had the highest diagnostic accuracy. Conclusions: Our findings showed that crush injury and the level of NEU, CKMB, and PT were risk factors for muscle necrosis after ACS. Additionally, we also identified the cut-off values of NEU, CKMB, and PT and found the combination of crush injury, PT, and NEU with the highest diagnostic accuracy, helping us individualize the assessment risk of muscle necrosis to manage early targeted interventions. [ABSTRACT FROM AUTHOR]