The clinical value of spleen stiffness in the diagnosis of esophageal varices in patients with hepatitis B-related cirrhosis
YANG Xue-ping, WANG Xue-mei, HE Nan, PAN Guo-dong, ZHANG Yao, YU Jing
2026, 31(2):
182-186.
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Objective To explore the non-invasive parameters that can be used to evaluate esophageal varices (EV) from ultrasound, liver and spleen stiffness measurement and laboratory data of patients with hepatitis B-related cirrhosis. Methods A total of 202 patients with hepatitis B-related cirrhosis admitted to Beijing Ditan Hospital Affiliated to Capital Medical University from March 2019 to March 2022 were enrolled in this study. The patients′ endoscopies, abdominal ultrasounds, liver stiffness measurements, spleen stiffness measurements (SSM), and laboratory data were collected. According to the endoscopic results, they were divided into an EV group and a non- EV group. The values of platelet count to spleen diameter ratio (PC/SD) and liver stiffness measurement-spleen diameter to platelet ratio (LSPS) were calculated. Univariate and multivariate logistic regression analyses were conducted to identify the independent influencing factors of EV. The effectiveness of these factors in diagnosing EV was evaluated with receiver operating characteristic (ROC) curve analysis. The accuracy of them in diagnosing EV was compared with those of PC/SD and LSPS. Results Among the 202 patients, there were 136 in the EV group and 66 in the non-EV group. LSM, SSM, portal vein diameter, splenic vein diameter, splenic index, INR and Child Pugh score in patients with EV were 19.69 (13.86, 27.01) kPa, 48.78 (40.89, 54.67) kPa, 13.20 (12.00, 14.50) mm, 10.95 (8.63, 13.00) mm, 47.01 (36.81, 58.28) cm2, 1.30 (1.18, 1.45) and 6 (5,8) respectively, which were significantly higher than those of 13.37 (8.08, 22.30) kPa, 24.51 (20.90, 33.34) kPa, 11.60 (1.80, 12.50) mm, 6.60 (5.58, 8.00) mm, 24.69 (18.96, 32.92) cm2, 1.17 (1.06,1.31), and 5 (5,7) in patients without EV (P<0.05). The PLT of the EV group was 57.85 (44.18,82.75)×109/L, which was lower than that of 112.50 (72.50,150.50)×109/L in the non-EV group. Multivariate analysis showed that SSM was an independent influencing factor of EV (HR=1.234, 95%CI:1.137~1.339, P<0.001). The area under the curve (AUC) for diagnosing EV with SSM was 0.947 (95%CI: 0.906-0.973, P<0.001) with the optimal cutoff value of 35.2 kPa. The diagnostic accuracy of SSM was better than that of PC/SD (Z=4.162, P<0.001) and LSPS (Z=4.356, P<0.001). Conclusion SSM can be used as a primary screening method to evaluate EV in patients with hepatitis B-related cirrhosis. SSM can be used as a reference for diagnosing EV.