P-35 NONINVASIVE PREDICTORS OF ESOPHAGEAL VARICES IN PATIENTS WITH HEPATOSPLENIC SCHISTOSOMIASIS MANSONI: MULTICENTER STUDY

oleh: Mateus Jorge Nardelli, Zulane da Silva Tavares Veiga, Luciana Costa Faria, Gustavo Henrique Santos Pereira, Catherine Ferreira da Silva, Fernanda Aziz Barbosa, Flávia Ferreira Fernandes, Renata de Mello Perez, Cristiane Alves Villela-Nogueira, Claudia Alves Couto

Format: Article
Diterbitkan: Elsevier 2021-09-01

Deskripsi

Background: No previous study have evaluated transient elastography (TE) for predicting esophageal varices (EV) in hepatosplenic schistosomiasis (HSS). Aim: To investigate noninvasive methods of predicting EV in patients with HSS mansoni. Methods: Cross-sectional multicentric study included 51 patients with HSS. Patients underwent ultrasonography-dopplerfluxometry, upper endoscopy, complete blood cell count and TE (Fibroscan®) for liver and spleen stiffness measurement (LSM and SSM). Noninvasive scores previously established for cirrhotic population were studied: platelet count to spleen diameter ratio (PSR), LSM-spleen diameter to platelet ratio score (LSPS) and varices risk score (VRS). We proposed a version of LSPS and VRS by replacing LSM with SSM and named them SSPS and modified-VRS, respectively. Results: EV was detected in 42 (82.4%) subjects. Individuals with EV presented higher SSM (73.5 vs 36.3 Kpa, p=0.001), splenic vein diameter (10.8 vs 8.0 mm, p=0.017), SSPS (18.7 vs 6.7, p=0.003) and modified-VRS (4.0 vs 1.4, p=0.013), besides lower PSR (332 vs 542, p=0.038), than those without EV. SSPS was independently associated with EV presence (OR=1.19, 95%CI 1.03-1.37, p=0.020) after multivariate analysis. In a model excluding noninvasive scores, SSM was independently associated with EV diagnosis (OR=1.09, 95%CI 1.03-1.16, p=0.004). AUROC was 0.856 (95%CI 0.752-0.961, p=0.001) for SSM and 0.816 (95%CI 0.699-0.932, p=0.003) for SSPS (p=0.551). Conclusions: Spleen-related variables were predictors of EV: SSM, splenic vein diameter, SSPS, modified-VRS and PSR. Multivariate models indicated that SSM and SSPS are useful tools for predicting EV in non-cirrhotic portal hypertension by HSS and may be used in clinical practice.