Based on the analysis of data from nearly patients, a prediction model was developed to determine the evolution of each patient. The study, published in the Journal of Hepatology , was coordinated by Dr. PSVD is a group of rare liver diseases affecting the intrahepatic blood vessels.
Although many people with PSV have no symptoms at the time of diagnosis, some can develop serious complications, such as portal hypertension and sometimes bleeding from oesophageal varices. Due to its low prevalence, the clinical course of the disease and prognostic factors are not well characterised. Current knowledge of the history of the disease was based on multicentre studies that included few patients. This work represents the largest collection of data on PSVD to date and has provided insight into the long-term course of the disease.
It has collected data from patients with PSVD diagnosed and followed up in 26 centres in different cities in Europe and one in India, with an interest in vascular liver disorders. So, the team sought to identify these factors and develop a model to predict the progression of the disease.
However, factors such as the severity of underlying diseases such as for example immune or prothrombotic disorders, as well as certain bilirubin, albumin and creatinine levels in the blood are related to a less favourable prognosis.
Based on these findings, the team developed a nomogram or prediction tool that, by including the identified risk factors, helps to predict the evolution of PSVD in each patient. This tool could facilitate more tailored therapeutic decisions, improving the quality of life of people with the disease. This breakthrough not only increases knowledge of an understudied disease, it also provides clinicians with a valuable resource for the monitoring of treatment of PSVD worldwide.
