Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract
Background:The most severe clinical stage of pulmonary arterial hypertension (PAH) linked to congenital heart disease (CHD) is Eisenmenger Syndrome (ES). Even though pregnancy is generally discouraged (mWHO Class IV), cases often show up in tertiary facilities, especially in South Asia. Goal: To compile the most recent research (2020–2025) on the interdisciplinary treatment of ES during pregnancy, with an emphasis on pharmaceutical developments and peripartum care practices. Methods: Recent case series and clinical statements from indexed sources (Google Scholar, PubMed, and Scopus) were reviewed. Results: Although maternal mortality is still high (20–50%), recent data show that a "Cardio-Obstetrics" multidisciplinary team (MDT) approach, aggressive targeted PAH therapy Phosphodiesterase- 5 (PDE-5) inhibitors and prostacyclins), and careful peripartum haemodynamic monitoring significantly improve survival. Conclusion: Although uncommon, successful results with ES pregnancies are becoming more attainable. Preventing the "Eisenmenger Crisis" through Systemic Vascular Resistance (SVR) maintenance and air embolism prevention must be management's top priority.
"Management of Eisenmenger Syndrome in Pregnancy: A Contemporary Review", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b101-b103, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601112.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator