Possibilities of Predicting the Manifestation of HELLP Syndrome

Author:

Shifman E. M.1ORCID,Pylaeva N. Yu.2ORCID,Gulyaev V. V.2ORCID,Kulikov A. V.3ORCID,Pylaev A. V.2ORCID,Kazinina E. N.2ORCID,Prochan E. N.2ORCID

Affiliation:

1. Moscow Regional Research Clinical Institute

2. V. I. Vernadsky Crimean Federal University

3. Ural State Medical University

Abstract

Introduction. Despite the use of modern principles of treatment of severe preeclampsia, mortality rates for mother and newborn in the development of life-threatening complication of preeclampsia, such as HELLP syndrome, remains high. The introduction of accurate models of early diagnosis and prediction of the probability of manifestation and severity of the HELLP syndrome into everyday medical practice will improve the safety of delivery of pregnant women with severe preeclampsia.The aim of the study is to determine the current state of the issue and systematize current data on methods of predicting the probability of HELLP syndrome manifestation.Materials and methods. An analytical review of the literature. A qualitative analysis of clinical trials and reviews on prediction of HELLP syndrome was conducted using the following data sources: PubMed and Google Scholar. The search was carried out in Russian and English, using the keywords “predictors”, or “prediction”, and “HELLP syndrome”. The date of the last search query is 22 March 2024.Results. Anamnestic data and initial characteristics of patients with HELLP syndrome were analyzed.Discussion. The analytical review included publications devoted to the study of the influence of predictive capabilities of potential biochemical markers, clinical and anamnestic signs and instrumental examination data on the probability of HELLP syndrome development.Conclusion. Adequate prediction of the manifestation of HELLP syndrome is possible on the basis of a comprehensive analysis of all identified factors, allowing the identification of effective prognostic models to improve maternal and fetal outcomes in pregnant women with severe preeclampsia.

Publisher

Ural State Medical University

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