Trajectories of Circulating Monocyte Subsets After ST-Elevation Myocardial Infarction During Hospitalization: Latent Class Growth Modeling for High-Risk Patient Identification.
J Cardiovasc Transl Res
; 11(1): 22-32, 2018 02.
Article
em En
| MEDLINE
| ID: mdl-29313268
ABSTRACT
It remains unclear if the developmental trajectories of a specific inflammatory biomarker during the acute phase of ST-elevation myocardial infarction (STEMI) provide outcome prediction. By applying latent class growth modeling (LCGM), we identified three distinctive trajectories of CD14++CD16+ monocytes using serial flow cytometry assays from day 1 to day 7 of symptom onset in 96 de novo STEMI patients underwent primary percutaneous coronary intervention. Membership in the high-hump-shaped trajectory (16.8%) independently predicted adverse cardiovascular outcomes during a median follow-up of 2.5 years. Moreover, inclusion of CD14++CD16+ monocyte trajectories significantly improved area under the curve (AUC) when added to left ventricular ejection fraction-based prediction model (ΔAUC = 0.093, P = 0.013). Therefore, CD14++CD16+ monocyte trajectories during STEMI hospitalization are a novel risk factor for post-STEMI adverse outcomes. These results provide the first proof-of-principle evidence in support of the risk stratification role of LCGM-based longitudinal modeling of specific inflammatory markers during acute STEMI.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Monócitos
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Mediadores da Inflamação
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Infarto do Miocárdio com Supradesnível do Segmento ST
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Hospitalização
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article