Affiliation:
1. Grodno State Medical University
2. City Clinical Hospital No. 4
Abstract
Ascites occurs in about 60 % of patients with cirrhosis within 10 years of diagnosis. Laparocentesis is the preferred first-line therapy in patients with cirrhosis and massive tense ascites, allowing more than 5–6 liters of ascitic fluid to be removed at one time. The search for informative prognostic factors and the development of a method for predicting unfavorable outcomes of repeated laparocenteses in patients with ascites are relevant to timely refer this contingent of patients to perform TIPS.The purpose of the study was to develop and evaluate the diagnostic significance of a model for determining the probability of unfavorable outcomes of laparocentesis in patients with ascites on the background of liver cirrhosis.The results of treatment of 99 patients with the ascitic syndrome associated with intrahepatic portal hypertension were studied. The multiple regression analysis using the binary response logit model was carried out to calculate the prediction models. The analysis of the treatment results of patients with liver cirrhosis and ascites by the laparocentesis method revealed a number of factors that influence the onset of an unfavorable outcome. 2 models with the inclusion of initial variables are the most promising for forecasting. Model A includes: patient weight, serum-ascites total protein gradient, hyponatremia; model B: MELD-Na score, serum-ascitic total protein gradient, patient weight. The developed prediction method is highly informative, effective, easily applicable, and can be widely used in clinical practice.The ability to predict an unfavorable outcome in patients with portal hypertension and ascites after laparocentesis allows for a personalized approach in the process of timely selection of more effective, but also more expensive treatment methods, such as TIPS, which will help us to increase the therapy effectiveness and the survival of this cohort of patients.
Publisher
Publishing House Belorusskaya Nauka