Key result
Precision phenomapping and multi-omic datasets are urgently needed to refine ACS diagnosis and treatment.
Why the study?
ACS exhibit heterogeneity in presentation, mechanisms, outcomes, and treatment responses, necessitating phenotypically stratified analyses of multi-omic datasets to refine diagnosis and treatment.
Highlights the need for phenotypically stratified analyses of multi-omic datasets to advance precision medicine in acute coronary syndromes.
Current ACS strategies lack precision stratification; leaves open whether multi-omic phenomapping will enable personalized therapies.
Acute coronary syndromes (ACS) are a global leading cause of death. These syndromes show heterogeneity in presentation, mechanisms, outcomes and responses to treatment. Precision medicine aims to identify and synthesize unique features in individuals, translating the acquired data into improved personalised interventions. Current precision treatments of ACS include immediate coronary revascularisation driven by ECG ST-segment elevation, early coronary angiography based on elevated blood cardiac troponins in patients without ST-segment elevation, and duration of intensified antithrombotic therapy according to bleeding risk scores. Phenotypically stratified analyses of multi-omic datasets are urgently needed to further refine and couple the diagnosis and treatment of these potentially life-threatening conditions. We provide definitions, examples and possible ways to advance precision treatments of ACS.
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Andreotti et al. (2021) conducted a review in Acute coronary syndromes. Precision phenomapping was evaluated. Precision phenomapping and multi-omic datasets are urgently needed to further refine and couple the diagnosis and treatment of acute coronary syndromes.
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