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Precision medicine in peripartum cardiomyopathy: advancing diagnosis and management through genomic and phenotypic integration.
Singh, Ajeet; Irfan, Hamza; Ali, Tooba; Mughal, Sanila; Shaukat, Ayesha; Jawwad, Mohammad; Akilimali, Aymar.
Affiliation
  • Singh A; Department of Internal Medicine, Dow University of Health Sciences, Karachi.
  • Irfan H; Department of Medicine, Shaikh Khalifa Bin Zayed Al Nahyan Medical and Dental College, Lahore, Pakistan.
  • Ali T; Department of Internal Medicine, Dow University of Health Sciences, Karachi.
  • Mughal S; Department of Internal Medicine, Dow University of Health Sciences, Karachi.
  • Shaukat A; Department of Internal Medicine, Dow University of Health Sciences, Karachi.
  • Jawwad M; Department of Internal Medicine, Dow University of Health Sciences, Karachi.
  • Akilimali A; Department of research, Medical Research Circle (MedReC), Bukavu, Democratic Republic of Congo.
Ann Med Surg (Lond) ; 86(8): 4664-4667, 2024 Aug.
Article in En | MEDLINE | ID: mdl-39118717
ABSTRACT
Peripartum cardiomyopathy (PPCM) is a rare and life-threatening cardiac condition characterized by heart failure due to left ventricular systolic dysfunction, often developing in late pregnancy or the early postpartum period. Despite being a leading cause of maternal morbidity and mortality, clinical presentation of PPCM frequently overlaps with normal pregnancy-related physiological changes, causing diagnostic delays and increased complications. Current management strategies, primarily derived from general heart failure protocols, are evolving to address the unique aspects of PPCM. This includes the development of personalized medicine approaches that integrate genetic profiling, biomarker evaluation, and clinical phenotyping. Notable genes such as titin (TTN), Bcl2-associated athanogene 3 (BAG3), and lamin A/C (LMNA) are implicated in PPCM, revealing a complex genetic landscape similar to other cardiomyopathies. Biomarkers like N-terminal pro-brain-type natriuretic peptide (NT-proBNP) and cardiac troponin T (cTnT) are under investigation for their diagnostic and prognostic value, indicating that personalized treatments hold the promise of enhancing diagnostic precision and therapeutic outcomes by tailoring interventions to individual patient profiles. This review article aims to highlight how integrating genetic and phenotypic data can establish a novel framework for managing PPCM, potentially transforming treatment paradigms and improving long-term outcomes.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Ann Med Surg (Lond) Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Ann Med Surg (Lond) Year: 2024 Document type: Article