Relationship between hepatic venous pressure gradient and parameters of Doppler ultrasound in 68 patients with pyrroidine alkaloid-related hepatic sinusoidal obstruction syndrome / 中华消化杂志

ABSTRACT

Objective:To investigate the relationship between hepatic venous pressure gradient (HVPG) and parameters of Doppler ultrasound in patients with pyrroidine alkaloid-related hepatic sinusoidal obstruction syndrome (PA-HSOS).Methods:From February 17, 2017 to April 22, 2020, the clinical data of 68 patients with PA-HSOS who underwent HVPG manometry and Doppler ultrasound examination at Drum Tower Hospital, the Affiliated Medical College of Nanjing University were retrospectively analyzed, which included HVPG, Drum Tower severity scoring (DTSS), time from PA-HSOS related symptoms appeared to diagnosis after taking pyrroidine alkaloid (hereinafter referred to as diagnosis time), and parameters of Doppler ultrasound induding portal vein trunk diameter (PD), peak portal vein velocity (PPV), splenic vein trunk diameter (SD) and peak splenic vein velocity (PSV). Receiver operating characteristic curve (ROC) was used to determine the optimal cut-off value of HVPG for predicting non-response to anticoagulation therapy. Binary logistic regression was used to analyze the independent risk factors for non-response to anticoagulation therapy, and Kaplan-Meier survival curve was used to analyze the prognostic survival rate of patients with different HVPG levels. Unitary linear regression was applied to analyze the correlation of HVPG with PD, PPV, SD and PSV in patients with different HVPG levels, patients with mild, moderate and severe DTSS, and patients with diagnosis time >1 month or ≤ 1 month. Chi-square test was used for statistical analysis.Results:The results of ROC analysis showed that the optimal cut-off value of HVPG for predicting non-response to anticoagulant therapy was 20.165 mmHg(1 mmHg=0.133 kPa). The result of multivariate analysis indicated that high HVPG (HVPG>20.165 mmHg) was an independent risk factor for predicting non-response to anticoagulant therapy ( OR (95% confidence interval)=6.039(1.466 to 24.869), P=0.013). Kaplan-Meier survival curve demonstrated that prognostic survival rate of patients with high HVPG was lower than that of patients with low HVPG (HVPG≤20.165 mmHg) (78.4% vs.96.8%), and the difference was statistically significant( χ2=4.74, P=0.030). The results of unitary linear regression analysis showed that there was a negative correlation between HVPG and PPV in 68 patients with PA-HSOS( r=-0.330, P=0.006); HVPG was positively correlated with PD and SD in patients with high HVPG ( r=0.540 and 0.341, P=0.001 and 0.039); there was a negative correlation between HVPG and PSV in patients with mild DTSS ( r=-0.519, P=0.019), HVPG was negatively correlated with PPV in patients with moderate DTSS ( r=-0.400, P=0.014). In patients with diagnosis time ≤1 month, there was a negative correlation between HVPG and PPV ( r=-0.391, P=0.010). Conclusions:HVPG can assist in judging the response to anticoagulation therapy and the prognosis of patients with PA-HSOS. Parameters of Doppler ultrasound can help to assess the degree of HVPG elevation in patients with PA-HSOS under certain conditions.