Derivation and external validation of mass spectrometry-based proteomic model using machine learning algorithms to predict plaque rupture in patients with acute coronary syndrome.
Jianing WuKe MaJie MaYulin LiYongkui RenPublished in: Clinica chimica acta; international journal of clinical chemistry (2024)
The proteins (APOC3, RAB39A, and KNG1) serve as a potential novel diagnostic tool to identify PR in ACS patients.
Keyphrases
- mass spectrometry
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- ejection fraction
- machine learning
- acute coronary syndrome
- peritoneal dialysis
- coronary artery disease
- prognostic factors
- liquid chromatography
- gas chromatography
- high performance liquid chromatography
- climate change
- patient reported outcomes
- label free