Clinical Study on the Screening of Lower Extremity Deep Venous Thrombosis by D-Dimer Combined with RAPT Score Among Orthopedic Trauma Patients

Diagnostic value of fibrinogen in lower extremity deep vein thrombosis caused by rib fracture: A retrospective study

Objectives: To investigate the diagnostic value of fibrinogen (FIB) in patients with rib fractures complicated by lower extremity deep venous thrombosis (DVT).Methods: Analyzing data from 493 patients at Shijiazhuang Third Hospital, FIB levels at 24, 48, and 72 h post-injury were compared between DVT and non-DVT groups.Results: DVT group had elevated FIB levels at all times (p < .001). FIB at 24 h showed highest AUC, particularly in patients with BMI <28.Conclusion: In conclusion, measuring FIB at 24 h post-injury enhances DVT detection in rib fracture patients, with potential BMI-related variations.

Development and validation of a predictive nomogram for preoperative deep vein thrombosis (DVT) in isolated calcaneal fracture

The fact that most of the patients with preoperative DVTs after calcaneal fractures are asymptomatic brought challenges to the early intervention, and periodic imaging examinations aggravated the financial burden of the patients in preoperative detumescence period. This study aimed to use routine clinical data, obtained from the database of Surgical Site Infection in Orthopaedic Surgery (SSIOS), to construct and validate a nomogram for predicting preoperative DVT risk in patients with isolated calcaneal fracture. The nomogram was established base on 7 predictors independently related to preoperative DVT. The performance of the model was tested by concordance index (C-index), receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), and the results were furtherly verified internally and externally. 952 patients were enrolled in this study, of which 711 were used as the training set. The AUC of the nomogram was 0.870 in the training set and 0.905 in the validation set. After internal verification, the modified C-index was 0.846. Calibration curve and decision curve analysis both performed well in the training set and validation set. In short, we constructed a nomogram for predicting preoperative DVT risk in patients with isolated calcaneal fracture and verified its accuracy and clinical practicability.

Incidence and risk factors associated with preoperative deep venous thrombosis in the young and middle-aged patients after hip fracture

Objective

This study aims to investigate the incidence, occurrence timing and locations of preoperative DVT and identify the associated factors in this group.

Methods

A retrospective analysis of collected data in young and middle-aged (18–59 years) patients who presented with hip fracture between October 2015 and December 2018 was conducted. Before operation, patients were routinely examined for DVT by Duplex ultrasonography (DUS). Electronic medical records were retrieved to collect the data, involving demographics, comorbidities, injury and laboratory biomarkers after admission. Multivariate logistic regression analysis was performed to identify factors that were independently associated with DVT.

Results

Eight hundred and fifty-seven patients were included, and 51 (6.0%) were diagnosed with preoperative DVT, with 2.5% for proximal DVT. The average age of patients with DVT is 48.7 ± 9.4 year, while that of patients without DVT is 45.0 ± 10.9 year. The mean time from injury to diagnosis of DVT was 6.8 ± 5.5 days, 43.1% cases occurring at day 2–4 after injury. Among 51 patients with DVT, 97 thrombi were found. Most patients had thrombi at injured extremity (72.5%), 19.6% at uninjured and 7.8% at bilateral extremities. There are significantly difference between patients with DVT and patients without DVT in term of prevalence of total protein (41.2% vs 24.4%, P = 0.008), albumin (54.9% vs 25.6%, P = 0.001), low lactate dehydrogenase (51.0% vs 30.3%, P = 0.002), lower serum sodium concentration (60.8% vs 29.9%, P = 0.001), lower RBC count (68.6% vs 37.0%, P = 0.001), lower HGB (51.0% vs 35.1%, P = 0.022), higher HCT (86.3% vs 35.1%, P = 0.022) and higher platelet count (37.3% vs 11.3%, P = 0.001). The multivariate analyses showed increasing age in year (OR 1.04, 95% CI; P = 0.020), delay to DUS (OR, 1.26; P = 0.001), abnormal LDH (OR, 1.45; P = 0.026), lower serum sodium concentration (OR, 2.56; P = 0.007), and higher HCT level (OR, 4.11; P = 0.003) were independently associated with DVT.

Conclusion

These findings could be beneficial in informed preventive of DVT and optimized management of hip fracture in specific group of young and mid-aged patients.

Homocysteine is potential serological marker for predicting the risk of deep venous thrombosis of the lower extremities in patients received operation of lower limb fracture

Objective

The aim of the study is to investigate the correlations among serum homocysteine (Hcy), D-dimer, and the risk of developing deep venous thrombosis (DVT) of the lower extremities in patients who underwent operation for lower limb fracture.

Methods

Seventy-five cases who underwent operation for lower limb fracture were included and further divided into DVT group (n = 26) and control group (n = 49) based on post-DVT diagnostic criteria. The serum Hcy and D-dimer were examined 48 h after operation. The serum Hcy and D-dimer levels were compared between the two groups. The correlation between serum Hcy and D-dimer was investigated by the Pearson correlation test. The receiver-operating characteristic (ROC) curve was applied to evaluate the diagnostic performance of serum Hcy and D-dimer as serological markers for DVT.

Results

The serum Hcy concentrations were 11.96 ± 3.98 μmol/L and 7.92 ± 3.27 μmol/L for DVT and control groups, respectively, with statistical difference (t = 4.72, P < 0.01). The serum D-dimer in the DVT group was significantly higher than that of the control group (8.99 ± 4.50 vs 1.70 ± 2.11) μg/mL with statistical difference (t = 9.56, P < 0.01). Line regression analysis indicated that serum Hcy was positively correlated with serum D-dimer concentration and can be demonstrated by the equation of Y = 0.6651*X + 1.036 for the DVT group. Using serum Hcy as the biomarker for predicting DVT, the prediction sensitivity and specificity were 76.92 and 71.44%, respectively, with the AUC of 0.7804 under the cut-point of 9.54 μmol/L. For serum D-dimer, the prediction sensitivity and specificity were 96.15 and 73.47%, respectively, with the area under the ROC (AUC) of 0.9455 under the cut-point of 1.66 μg/mL.

Conclusion

Serum Hcy was significantly elevated in DTV patients, and hence, it can be applied as a serological marker for DVT prediction in patients who underwent operation for lower limb fracture. However, the DVT prediction performance of serum Hcy was inferior to D-dimer especially for diagnostic sensitivity.