Clinical correlates and short-term prognostic value of CT-detected subclinical pulmonary congestion in acute STEMI without overt heart failure.

Background: Subclinical pulmonary congestion may occur after ST-segment elevation myocardial infarction (STEMI) before overt heart failure (HF) develops. However, its clinical significance remains unclear. This study aimed to investigate the clinical correlates and in-hospital prognostic significance of computed tomography (CT)-detected subclinical pulmonary congestion in acute STEMI patients without overt HF. Methods: We retrospectively enrolled 276 consecutive patients with acute STEMI classified as Killip class I who underwent chest CT at admission. Quantitative CT-derived mean lung density was used to assess subclinical pulmonary congestion. Patients were stratified into subgroups using K-means clustering based on mean lung density. A logistic regression model was constructed to discriminate the two subgroups, and the importance of clinical features was ranked accordingly. For prognostic analysis, univariable and multivariable logistic regression analyses were performed to evaluate the independent association between mean lung density and in-hospital major adverse cardiovascular events (MACEs). Results: Two distinct subgroups were identified. The median (IQR) mean lung density was -806 [-826 to -785] HU in subgroup 1 and -727 [-747 to -704] HU in subgroup 2 ( Conclusion: The higher mean lung density phenotype on CT, suggestive of subclinical pulmonary congestion, is associated with greater myocardial injury, heightened inflammatory activation, and impaired left ventricular function in patients with acute STEMI without overt HF. Multivariable analysis showed an independent association between increased mean lung density and in-hospital MACEs, supporting its potential role in early risk stratification among Killip class I patients.