Literature DB >> 33708916

Increased portal vein diameter is predictive of portal vein thrombosis development in patients with liver cirrhosis.

Gang Dong1, Xiao-Quan Huang1, Yu-Li Zhu2, Hong Ding2, Feng Li1, Shi-Yao Chen1,3.   

Abstract

BACKGROUND: Cirrhotic patients with portal vein thrombosis (PVT) may have a high risk of hepatic decompensation and increased mortality. This study aimed to investigate if increased portal vein diameter is associated with PVT development.
METHODS: A total of 174 cirrhotic patients were enrolled between February 1 and August 31, 2017. All participants were divided into PVT (n=62) and non-PVT (n=112) groups based on the thrombus that was detected by ultrasonography and confirmed by computed tomography angiography (CTA).
RESULTS: The study participants, aged 54.7±10.5 years (PVT) and 55.8±11.6 years (non-PVT), were included in this analysis. The Child-Pugh score of PVT or non-PVT was 6.6±1.3 and 5.8±0.9, respectively. Hepatitis B virus (HBV) is the primary etiological agent of cirrhosis. Logistic regression, receiver operating characteristic (ROC), and nomograph analysis designated portal diameter as the strongest independent risk factor for predicting PVT development [odds ratio (OR): 3.96, area under the ROC curve (AUC): 0.88; P<0.01], and the cutoff with predictive value for PVT development was >12.5 mm. No differences were observed in the overall survival (OS) in cirrhosis with or without PVT or stratifying on portal diameter based on the cutoff value.
CONCLUSIONS: Increased portal diameter is associated with an increased risk of PVT development. Patients with cirrhosis and increased portal diameter are a high-risk subgroup that may need thromboprophylaxis. 2021 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Cirrhosis; portal vein diameter; thrombosis

Year:  2021        PMID: 33708916      PMCID: PMC7944309          DOI: 10.21037/atm-20-4912

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

Portal vein thrombosis (PVT) is a major complication in patients with liver cirrhosis and <1% in the general population. However, 0.6–15.8% of the cirrhosis patients suffered from PVT, varied prevalence PVT according to different studies (1). Several studies showed that PVT was associated with poor outcomes of cirrhosis patients, such as increasing hepatic decompensation, transplantation mortality, and hepatic artery thrombosis (2-4). The potential mechanism of the development of PVT in cirrhosis patients is not yet clarified, and the occurrence of PVT is a multifactorial process involving inherited and acquired thrombotic risk factors (5). Cirrhosis and portal hypertension induced hepatic structural derangement, slowed portal vein blood flow, damaged the vessel wall, and induced hypercoagulability, which served as vital roles in PVT development (6,7). As shown in Figure S1, PVT increased the thickness of spleen. PVT is primarily detected and diagnosed by imaging examination, especially computed tomography angiography (CTA) (8). However, due to the high cost and damage to the body, CTA is not suitable for high-risk population screening. Thus, ultrasonography is widely used for screening of high-risk populations with PVT with a diagnostic accuracy of 88–98% (9). This method is economical, practical, portable, and harmless, and some parameters of the portal vein, such as portal vein diameter, blood flow velocity, and filling defect, could be measured. The blood flow velocity in the portal vein has been reported to predict PVT development (7). However, the effect of portal vein diameter on the formation of PVT in cirrhotic patients is largely unknown. Studies have demonstrated that portal vein dilatation tends to be continuous in cirrhosis (10). Then, the dilated portal vein induces endothelial cell damage (11), which is one of the key factors for thrombosis. Nonetheless, only a few reports are available about the association between portal diameter and PVT development in liver cirrhosis. Therefore, the present study aimed to evaluate the effect of portal diameter on PVT development and prognosis in cirrhotic patients. We present the following article in accordance with the TRIPOD reporting checklist (available at http://dx.doi.org/10.21037/atm-20-4912).

Methods

This study complied with the guidelines of the Declaration of Helsinki (as was revised in 2013) and was approved by the Medical Ethics Committee of Zhongshan Hospital, Fudan University, China (No. B2015-133R). Because of the retrospective nature of the study, the requirement for informed consent was waived.

Patients

From February–August in 2017, 174 patients diagnosed with liver cirrhosis, screened by CT or magnetic resonance (MR), and underwent ultrasonography of the portal venous system, were enrolled. Patients with esophagogastric varices detected by CT, MRI or ultrasonography will be further examined by upper endoscopy to evaluate its severity and decide the need for intervention. The exclusion criteria were as follows: (I) malignant tumor; (II) active hemorrhage; (III) acute infections; (IV) receiving antiplatelet or anticoagulant therapy; (V) a history of abdominal surgery including splenectomy. Subsequently, the patients were divided into the PVT and non-PVT groups based on CTA. All participants were followed up until April 2020.

Blood collection and analysis

Blood samples were withdrawn after 12 h of overnight fasting. Platelets count, D-dimer, total cholesterol, triglyceride, and LDL levels, and other biochemical parameters, such as hepatic function, were measured.

Ultrasound with hepatic portal doppler

After fasting for >8 h, participants lay supine, breathed normally, kept quiet, and underwent color Doppler ultrasonic diagnosis. The angle between the portal vein and ultrasonic beam was <60°, and all measurements were conducted using a 2.0–5.0 MHZ convex transducer (iU22 Ultrasound System; Philips Healthcare, Reedsville, PA, USA). The diameters and velocities of the portal vein were measured using B-type ultrasonography and Doppler examination, respectively.

Statistical analysis

Continuous variables are reported as a mean ± standard deviation, and categorical data are expressed as numbers and proportions. Statistical analysis was performed using Student’s unpaired t-test or Mann-Whitney test for comparisons of continuous variables between groups and corrected chi-square test or Fisher’s exact test was used for categorical data. Logistic regression models were constructed to assess risk factors for the development of PVT. Kruskal-Wallis test was used to identify the correlation between portal diameter and etiology or thrombus range, respectively. The sensitivity and specificity of risk factors in predicting PVT were evaluated by receiver operating characteristic (ROC) curves, and the risk was assessed by a nomograph. The Kaplan-Meier analysis was used to estimate the rate of overall survival (OS) in patients with and without PVT according to stratified portal diameter. P<0.05 was considered statistically significant. All analyses were performed using SPSS 24.0 (SPSS Inc., Chicago, IL, USA).

Results

Participant characteristics

The mean age of the study participants was 54.7±10.5 years (PVT) and 55.8±11.6 years (non-PVT). The cohort consisted of 59.7% males in PVT and 60.7% males in non-PVT. Among these patients, hepatitis B virus (HBV) is the major cause of cirrhosis (PVT 59.7% vs. non-PVT 57.1%). The Child-Pugh score of PVT and non-PVT was 6.6±1.3 and 5.8±0.9 (P=0.004). As shown in , platelet count and D-dimers examined in the laboratory were 128±94.3 (PVT), 79.5±52.8 (non-PVT) and 2.4±2.9 (PVT), 0.7±1.0 (non-PVT), respectively. Also, total cholesterol (PVT, 3.6±1.0; non-PVT, 3.5±0.9), triglyceride (PVT, 0.8±0.4; non-PVT, 0.9±0.4), and LDL levels (PVT, 1.9±0.8; non-PVT, 1.8±0.8) were detected. Portal diameter and portal flow detected by ultrasonography were 14.0±3.0 mm (PVT), 10.8±1.1 mm (non-PVT) and 16.7±6.9 cm/s (PVT), 19.0±2.9 cm/s (non-PVT), respectively, and PVT was distributed in the main portal vein (72.6%).
Table 1

Baseline characteristics

VariableSubtypePVT (n=62), n (%)Non-PVT (n=112), n (%P value
Age54.7±10.555.8±11.60.54
GenderMale37 (59.7)68 (60.7)0.89
Female25 (40.3)44 (39.3)
EtiologyHBV37 (59.7)64 (57.1)0.03
HCV05 (4.5)
Alcohol6 (9.7)9 (8.0)
Autoimmune disease3 (4.8)3 (2.7)
Cholestatic disease4 (6.5)9 (8.0)
Schistosomiasis4 (6.5)4 (3.6)
NASH03 (2.7)
Others8 (12.9)15 (13.4)
Child-Pugh score6.6±1.35.8±0.90.00
Child-Pugh classA35 (56.5)89 (79.5)0.00
B26 (41.9)23 (20.5)
C1 (1.6)0
Laboratory valuesPlatelet128±94.379.5±52.80.00
D-dimer2.4±2.90.7±1.00.00
Total cholesterol3.6±1.03.5±0.90.45
Triglyceride0.8±0.40.9±0.40.24
LDL1.9±0.81.8±0.80.51
Imaging findingsPortal diameter14.0±3.010.8±1.10.00
Portal flow16.7±6.919.0±2.90.01
Distribution of PVTMain PV45 (72.6)
Right PV26 (41.9)
Left PV25 (40.3)
Splenic vein10 (16.1)
Superior mesenteric vein12 (19.4)

PV, portal vein; PVT, portal vein thrombosis; LDL, low-density lipoprotein.

PV, portal vein; PVT, portal vein thrombosis; LDL, low-density lipoprotein.

Role of portal diameter on PVT development

Logistic regression analysis revealed that portal diameter, portal flow, platelet, and D-dimer were identified as independent risk factors for PVT (P<0.05), and the effect of the Child-Pugh score was rendered insignificant (). The area under the ROC (AUC) of the portal diameter for PVT development was 0.88 (), which was significant among risk factors, and the sensitivity and specificity for portal diameter in predicting PVT development were 63% and 89%, respectively (). On the other hand, the AUC of the combination of the above factors for PVT development was 0.91 (), and the sensitivity and specificity for portal diameter in predicting PVT development were 87% and 95%, respectively (), which was consistent with the assessment by nomograph (). Cirrhosis could result from a variety of etiologies, which has no influence on the portal diameter and was unaffected by the range of thrombus (). Based on the cutoff of portal diameter (), the PVT participants were divided into two groups: ≤12.5 and >12.5 mm. No differences were detected in the OS while classifying according to the portal diameter during follow-up; also, the OS was similar in patients with and without PVT ().
Table 2

Risk factors in patients with and without portal vein thrombosis

Risk factorsOdds ratioP valueStd. Err.95% Conf. interval
Portal diameter3.960.001.062.34–6.70
Portal flow0.850.010.050.76–0.96
Platelet1.020.000.001.01–1.03
D-dimer2.380.000.571.49–3.81
Child-Pugh score1.550.140.450.87–2.75
Figure 1

ROC analysis of portal diameter, portal flow, platelet count, D-dimer, and Child-Pugh score (A) or their combination (B) predicting the presence of PVT in cirrhotic patients. Portal diameter was the strongest independent risk factor predicting PVT development. ROC, receiver operating characteristic; PVT, portal vein thrombosis.

Table 3

Performance of risk factors in the diagnosis of PVT

Risk factorsAUCSensitivity, %Specificity, %Cut-off
Portal diameter0.88638912.50
Portal flow0.62636618.50
Platelet0.655282111.50
D-dimer0.8171850.94
Above factors combination0.9187950.47

PVT, portal vein thrombosis; AUC, area under curve.

Figure 2

A nomograph for estimating the risk of portal diameter, portal flow, platelet count, and D-dimer in predicting PVT development. Portal diameter was the strongest independent risk factor predicting PVT development. PVT, portal vein thrombosis.

Figure 3

The effect of etiology (A) and the range of thrombus (B) on portal diameter. The range of thrombus included five sites: main portal vein (main PV), left portal vein (left PV), right portal vein (right PV), superior mesenteric vein, and splenic vein. Number of involved sites were divided into three groups: 1 (one site), 2 (two sites), ≥3 (three sites). PV, portal vein.

Figure 4

Kaplan-Meier OS curve was analyzed in patients with the stratified portal diameter with and without PVT. (A) No differences were observed in the OS when stratifying by portal diameter. (B) OS was similar in cirrhosis patients with and without PVT. OS, overall survival; PVT, portal vein thrombosis.

ROC analysis of portal diameter, portal flow, platelet count, D-dimer, and Child-Pugh score (A) or their combination (B) predicting the presence of PVT in cirrhotic patients. Portal diameter was the strongest independent risk factor predicting PVT development. ROC, receiver operating characteristic; PVT, portal vein thrombosis. PVT, portal vein thrombosis; AUC, area under curve. A nomograph for estimating the risk of portal diameter, portal flow, platelet count, and D-dimer in predicting PVT development. Portal diameter was the strongest independent risk factor predicting PVT development. PVT, portal vein thrombosis. The effect of etiology (A) and the range of thrombus (B) on portal diameter. The range of thrombus included five sites: main portal vein (main PV), left portal vein (left PV), right portal vein (right PV), superior mesenteric vein, and splenic vein. Number of involved sites were divided into three groups: 1 (one site), 2 (two sites), ≥3 (three sites). PV, portal vein. Kaplan-Meier OS curve was analyzed in patients with the stratified portal diameter with and without PVT. (A) No differences were observed in the OS when stratifying by portal diameter. (B) OS was similar in cirrhosis patients with and without PVT. OS, overall survival; PVT, portal vein thrombosis.

Discussion

In the present study, 174 cirrhosis patients with or without PVT were investigated. The results established a positive association between portal diameter and PVT occurrence in cirrhosis patients, and compared it to portal flow, platelet count, and D-dimer; patients with increased portal diameter may be at a high risk to PVT development. This study also confirmed the cutoff of portal diameter as >12.5 mm, which was sensitive for discerning the cirrhosis patients at risk for PVT development. Based on the cutoff, B-ultrasonography determining the portal diameter should be considered a potential screening tool for identifying patients at the highest risk of thrombosis. HBV has been identified as the most frequent cause of cirrhosis and considered as a risk factor for PVT (12,13). In this study, the etiology was HBV in cirrhosis patients with or without PVT. In addition, several other risk factors have been reported to play a role in the development of PVT in cirrhosis (14-16). Since the majority of PVT has no obvious early symptoms, it could be missed diagnosed or be misdiagnosed; subsequently, PVT severely affects the prognosis of cirrhosis patients, including increasing the bleeding risk of varices and liver transplantation mortality (2-4). Therefore, it is crucial to screen out the most valuable risk factors to predict the early development of PVT. Reportedly, the development of PVT in cirrhosis is multifactorial, such as unbalanced coagulation and anti-coagulation activity contributing towards the hypercoagulable state, blood flow stasis from portal hypertension, synergistic interaction of vessel wall, and endothelial injury (6). Elevated blood lipid levels are related to venous thrombosis (17); however, in this study, the correlation between blood lipid levels and PVT was not significant (data not shown), and portal flow, platelet count, Child-Pugh score, D-dimer, and portal diameter were further screened to evaluate their roles in predicting PVT development. As shown in , an inverse correlation was established between portal flow and PVT occurrence and slow blood flow increased the contact between platelet and vessel wall, which was beneficial to thrombosis, and flow rates <15 cm/s were associated with increased PVT development (7); nevertheless, the cutoff in this study was 18.5 cm/s. The other risk factor was platelet count, the association between platelet count and PVT was statistically significant, and the cutoff value was 111.5. Increased platelet indices also contribute to the prethrombotic state in liver cirrhosis and that large platelet may play a specific role in thrombosis (18). Contrary to the previous report (19), we did not find a significant association between child score and PVT development in the present study. The Child-Pugh score is commonly used in clinical practice for quantitative assessment of liver reserve function in patients with liver cirrhosis; the higher the score, the worse the liver reserve function, and the reported incidence of PVT in advanced liver disease increased up to 40% (20). However, this could be ascribed to the Child-Pugh score A or B in the current study population with adequate liver reserve function; hence, our experimental results were inconsistent with previous studies. D-dimer is a major indicator of thrombosis, and detection of D-dimer is primarily used in the prediction and diagnosis of venous thrombosis (21,22). in this study, D-dimer was compared to the portal diameter to predict the PVT development. Cirrhosis has been reported to induce continuous portal vein dilation, which would further damage endothelial cells and then promote the formation of thrombus (10,11). To date, few relevant clinical studies are available about the association between portal diameter and PVT development in cirrhosis. Herein, we found a significant association between portal diameter and PVT, and AUC was higher than other risk factors, screening high-risk patients with PVT by ultrasonography, and intervening early will improve the prognosis of cirrhosis. HBV is one of the risk factors of PVT (6). However, the portal diameter was not related to the etiology, and the range of PVT involvement had little effect on the portal diameter. A previous study demonstrated that the mortality in PVT patients was increased (23); however, in the current study, no differences were detected in the survival time in cirrhosis patients with or without PVT. This phenomenon could be explained by the fact that the majority of the enrolled patients were Child-Pugh A or B, and the liver function was compensatory. Additionally, endoscopic treatment to prevent rebleeding and other complications, anticoagulant therapy, and antiviral therapy are critical factors that improve the prognosis of PVT patients. Nevertheless, the limitations of the current study include the small sample size, short follow-up period, and data from a single center. These factors might affect the survival time in cirrhosis patients with or without PVT. Thus, a long-term follow-up of a large sample is essential for an objective evaluation of PVT in the role of the survival of patients with cirrhosis. Moreover, no difference was detected in the survival rates when stratifying portal diameter to those with ≤12.5 vs. >12.5 mm at follow-up.

Conclusions

In conclusion, the increased portal diameter is associated with significantly increased risk for the development of PVT, and detection of portal diameter >12.5 mm is highly sensitive for predicting PVT development. Additional studies are required to confirm the above results, identify additional risk factors in large sample size, and investigate the potential role of thromboprophylaxis for the suppression of PVT development in the high-risk population. The article’s supplementary files as
  23 in total

1.  Portal vein thrombosis and survival in patients with cirrhosis.

Authors:  Michael J Englesbe; James Kubus; Wajee Muhammad; Christopher J Sonnenday; Theodore Welling; Jeffrey D Punch; Raymond J Lynch; Jorge A Marrero; Shawn J Pelletier
Journal:  Liver Transpl       Date:  2010-01       Impact factor: 5.799

2.  Platelet indices in patients with de novo portal vein thrombosis and liver cirrhosis.

Authors:  Irina Gîrleanu; Anca Trifan; Camelia Cojocariu; Mihaela Dimache; Ana-Maria Sîngeap; Oana Stoica; C Sfarti; C Stanciu
Journal:  Rev Med Chir Soc Med Nat Iasi       Date:  2013 Jul-Sep

Review 3.  Imaging in clinical decision-making for portal vein thrombosis.

Authors:  Annalisa Berzigotti; Angeles García-Criado; Anna Darnell; Juan-Carlos García-Pagán
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2014-01-14       Impact factor: 46.802

Review 4.  Diagnosis, Development, and Treatment of Portal Vein Thrombosis in Patients With and Without Cirrhosis.

Authors:  Nicolas M Intagliata; Stephen H Caldwell; Armando Tripodi
Journal:  Gastroenterology       Date:  2019-02-13       Impact factor: 22.682

5.  Pre-transplant portal vein thrombosis is an independent risk factor for graft loss due to hepatic artery thrombosis in liver transplant recipients.

Authors:  Jonathan G Stine; Shawn J Pelletier; Timothy M Schmitt; Robert J Porte; Patrick G Northup
Journal:  HPB (Oxford)       Date:  2015-12-10       Impact factor: 3.647

6.  Serum lipid levels and the risk of venous thrombosis.

Authors:  Carine J M Doggen; Nicholas L Smith; Rozenn N Lemaitre; Susan R Heckbert; Frits R Rosendaal; Bruce M Psaty
Journal:  Arterioscler Thromb Vasc Biol       Date:  2004-08-26       Impact factor: 8.311

7.  CT features of non-malignant portal vein thrombosis: a pictorial review.

Authors:  Xingshun Qi; Guohong Han; Chuangye He; Zhanxin Yin; Wengang Guo; Jing Niu; Daiming Fan
Journal:  Clin Res Hepatol Gastroenterol       Date:  2012-08-09       Impact factor: 2.947

8.  Risk factors and clinical presentation of portal vein thrombosis in patients with liver cirrhosis.

Authors:  Lucio Amitrano; Maria Anna Guardascione; Vincenzo Brancaccio; Maurizio Margaglione; Francesco Manguso; Luigi Iannaccone; Elvira Grandone; Antonio Balzano
Journal:  J Hepatol       Date:  2004-05       Impact factor: 25.083

9.  Serum ADAMTS-13 Levels as an Indicator of Portal Vein Thrombosis.

Authors:  Tomasz Mikuła; Joanna Kozłowska; Wojciech Stańczak; Mariusz Sapuła; Aleksandra Różyk; Alicja Wiercińska-Drapało
Journal:  Gastroenterol Res Pract       Date:  2018-04-18       Impact factor: 2.260

10.  Simvastatin Mitigates Apoptosis and Transforming Growth Factor-Beta Upregulation in Stretch-Induced Endothelial Cells.

Authors:  Gang Dong; Xiaoquan Huang; Siyu Jiang; Liyuan Ni; Shiyao Chen
Journal:  Oxid Med Cell Longev       Date:  2019-12-17       Impact factor: 6.543

View more
  1 in total

Review 1.  The Pathophysiology of Portal Vein Thrombosis in Cirrhosis: Getting Deeper into Virchow's Triad.

Authors:  Aina Anton; Genís Campreciós; Valeria Pérez-Campuzano; Lara Orts; Joan Carles García-Pagán; Virginia Hernández-Gea
Journal:  J Clin Med       Date:  2022-02-02       Impact factor: 4.241

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.