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Immunothrombosis has recently been used to describe the responses/mechanisms in thrombosis. Systemic inflammatory markers are prognostic markers for a variety of thrombotic conditions; however, their potential value in predicting portal vein thrombosis (PVT) is unknown. This study aimed to establish an easy-to-use nomogram based on systemic inflammatory markers to predict portal vein thrombosis (PVT) in patients with liver cirrhosis.
Full description
This retrospective study included 478 patients with cirrhosis between January 2013 and January 2021. Reputed systemic inflammatory markers (systemic immune-inflammation index [SII], neutrophil-to-lymphocyte ratio [NLR], monocyte-to-lymphocyte ratio [MLR], and platelet-to-lymphocyte ratio (PLR)) were measured, and the clinical data were recorded. The independent risk factors for PVT were determined using univariate analyses and multivariate logistic regression analyses, and a nomogram to predict the occurrence of PVT was established. The concordance index, receiver operating characteristic curves, and calibration plots were used to evaluate the performance of the model.
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Inclusion Criteria:The diagnosis of LC was based on clinical, laboratory, and radiological analyses, and/or liver biopsies. PVT was diagnosed according to the consensus for management of PVT in LC (2020, Shanghai) [1]. The inclusion criteria were as follows: (I) age ≥18 years, (II) Doppler ultrasound was the first-choice imaging modality; however, enhanced computed tomography or magnetic resonance imaging could also be used for confirmation at the time of admission to our hospital, and (III) patients with PVT on imaging examination but with insufficient evidence for the diagnosis of cirrhosis, hepatic vein pressure gradient measurement, and liver biopsy. -
Exclusion Criteria:Patients with primary or secondary hepatic malignant tumors, other malignant tumors, hematologic diseases, Budd-Chiari syndrome, non-cirrhotic PVT, inflammatory diseases, and other severe diseases were excluded.
478 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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