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Chinese Journal of Postgraduates of Medicine ; (36): 633-638, 2023.
Article in Chinese | WPRIM | ID: wpr-991070

ABSTRACT

Objective:To investigate the predictive value of anticardiolipin antibody (ACA) and D-dimer (D-D) combined with risk assessment profile for thromboembolism (RAPT) for deep vein thrombosis (DVT) in elderly postoperative patients with intertrochanteric fracture of femur (IFF).Methods:The clinical data of 123 elderly patients with IFF in Suzhou Hospital Affiliated to Anhui Medical University from January 2019 to March 2022 were retrospectively analyzed. All patients underwent closed reduction intramedullary nail fixation. The patients were divided into DVT group (27 cases) and non-DVT group (96 cases) according to the presence or absence of DVT 7 d after surgery. Before surgery and 3, 5 d after operation, the ACA was detected by enzyme-linked immunosorbent assay, the D-D was detected by automatic coagulation analyzer, and RAPT was performed. The correlation among ACA, D-D and RAPT was analyzed by Spearman method. Multivariate Logistic regression was used to analyze the independent risk factors of DVT in elderly postoperative patients with IFF. Receiver operating characteristic (ROC) curve was used to analyze the efficacy of ACA, D-D and RAPT in predicting DVT in elderly postoperative patients with IFF. The incidences of postoperative DVT in patients with different ACA, D-D and RAPT patients were compared.Results:There were no statistical difference in ACA, D-D and RAPT before operation between the two groups ( P>0.05); the ACA, D-D and RAPT 3 and 5 d after operation in DVT group were significantly higher than those in the non-DVT group, 3 d after operation: (12.44 ± 3.25) × 10 3 RU/L vs. (8.67 ± 2.81) × 10 3 RU/L, (7.29 ± 1.49) mg/L vs. (4.70 ± 1.23) mg/L and (9.79 ± 1.15) scores vs. (9.21 ± 1.32) scores; 5 d after operation: (10.28 ± 2.16) × 10 3 RU/L vs. (6.45 ± 2.04) × 10 3 RU/L, (5.49 ± 1.26) mg/L vs. (3.63 ± 1.05) mg/L and (9.57 ± 1.08) scores vs. (9.12 ± 0.70) scores, and there were statistical differences ( P<0.01 or <0.05). Since ACA, D-D and RAPT in the two groups all reached their peak 3 d after operation, this time point was selected for analysis. Three days after operation, Pearson correlation analysis result showed that ACA and D-D were positively correlated with RAPT ( r = 0.635 and 0.630, P<0.01), and ACA was positively correlated with D-D ( r = 0.657, P<0.01). ROC curve analysis result showed that the area under the curve (AUC) of ACA and D-D combined RAPT 3 d after operation in predicting DVT in elderly postoperative patients with IFF was greater than that predicted by the 3 indexes alone (0.982 vs. 0.894, 0.870 and 0.868), the optimal cut-off values were 11.48 × 10 3 RU/L, 6.75 mg/L and 9 scores. According to the optimal cut-off value of ROC curve analysis at 3 d after operation, the patients were divided into ACA low expression (≤11.48 × 10 3 RU/L, 92 cases) and ACA high expression (>11.48 × 10 3 RU/L, 31 cases), D-D low expression (≤6.75 mg/L, 99 cases) and D-D high expression (>6.75 mg/L, 24 cases), low RAPT (≤9 scores, 93 cases) and high RAPT (>9 scores, 30 cases). The incidences of postoperative DVT in patients with ACA high expression, D-D high expression and high RAPT were significantly higher than those in patients with ACA low expression, D-D low expression and low RAPT: 43.39% (15/31) vs. 13.04% (12/92), 54.17% (13/24) vs. 14.14% (14/99) and 53.33% (16/30) vs. 11.83% (11/93), and there were statistical differences ( χ2 = 16.91, 18.06 and 22.81; P<0.01). After controlling for diabetes and other factors, multivariate Logistic regression analysis result showed that ACA, D-D and RAPT 3 d after operation were independent risk factors for DVT in elderly postoperative patients with IFF ( OR = 2.156, 2.276 and 6.106; 95% CI 1.356 to 3.429, 1.240 to 4.177 and 1.564 to 23.840; P<0.01). Conclusions:The ACA, D-D combined with RAPT can improve the predictive value of DVT in elderly postoperative patients with IFF, which has important reference significance for taking timely and effective intervention measures in early clinical stage.

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