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Gastroenterology & Hepatology

A practical nomogram based on systemic inflammatory markers for predicting portal vein thrombosis in patients with liver cirrhosis

, , , , , , & show all
Pages 302-309 | Received 17 Aug 2021, Accepted 08 Jan 2022, Published online: 21 Jan 2022

Figures & data

Figure 1. Flow chart of this study.

Figure 1. Flow chart of this study.

Table 1. Baseline demographics and clinical characteristics of the patients.

Figure 2. Receiver operating characteristic curve of a systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR). The cut-off values for SII, NLR, MLR, and PLR were 268.9 (area under the curve, 0.612; p < .001), 3.14 (area under the curve, 0.596; p < .001), 0.37 (area under the curve, 0.662; p < .001), and 103.4 (area under the curve, 0.628; p < .001), respectively.

Figure 2. Receiver operating characteristic curve of a systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR). The cut-off values for SII, NLR, MLR, and PLR were 268.9 (area under the curve, 0.612; p < .001), 3.14 (area under the curve, 0.596; p < .001), 0.37 (area under the curve, 0.662; p < .001), and 103.4 (area under the curve, 0.628; p < .001), respectively.

Table 2. Results of univariate analysis.

Table 3. Results of the multivariate logistic regression analysis.

Figure 3. Nomogram to predict the probability of portal vein thrombosis (PVT). To use this nomogram, the specific value for each patient should be located on each variable axis, and a line plotted upward to determine the points for each variable value. The sum of the points can be found on the “Total Points axis,” and a perpendicular line drawn downwards determines the risk of PVT.

Figure 3. Nomogram to predict the probability of portal vein thrombosis (PVT). To use this nomogram, the specific value for each patient should be located on each variable axis, and a line plotted upward to determine the points for each variable value. The sum of the points can be found on the “Total Points axis,” and a perpendicular line drawn downwards determines the risk of PVT.

Figure 4. Receiver operating characteristic (ROC) curve of the model. The area under the ROC curve was 0.891 (95% confidence intervals 0.862–0.919).

Figure 4. Receiver operating characteristic (ROC) curve of the model. The area under the ROC curve was 0.891 (95% confidence intervals 0.862–0.919).

Figure 5. Calibration plots of the nomogram.

Figure 5. Calibration plots of the nomogram.

Data availability statement

The data that support the findings of this study are available from the author, upon reasonable request.