Unsupervised Clustering of Routine Inflammatory Markers in Cardiogenic Shock Reveals Phenotypic Heterogeneity Without Prognostic Utility
Song Peng Ang, Jackson Rajendran, Yashika Gupta, Jia Ee Chia, Shana John, Madison Laezzo, Chukwudi Ikeano, Eunseuk Lee, Jose Iglesias

TL;DR
This study found that cardiogenic shock has different inflammatory patterns, but these patterns don't help predict short-term outcomes.
Contribution
The study identifies distinct inflammatory phenotypes in cardiogenic shock using unsupervised clustering of routine markers, but finds no prognostic benefit.
Findings
Two distinct inflammatory phenotypes were identified in cardiogenic shock patients using clustering of admission inflammatory markers.
Despite biological differences between clusters, short-term clinical outcomes were similar across groups.
Phenotypes showed differences in age, chronic kidney disease prevalence, and inflammatory profiles but not in mortality or hospital stay.
Abstract
Background: Cardiogenic shock is a heterogeneous syndrome in which systemic inflammation may contribute to cardiovascular risk and adverse outcomes beyond hemodynamic compromise alone. Methods: We conducted a retrospective multicenter cohort study using the eICU Collaborative Research Database (2014–2015) to identify inflammatory phenotypes among adults admitted to intensive care units with cardiogenic shock. Inflammatory indices derived from admission hematologic parameters (including NLR, PLR, MLR, NPAR, SII, SIRI, and AISI) were analyzed using principal component analysis, followed by hierarchical and k-means clustering to identify biologically distinct inflammatory phenotypes. Clinical characteristics and short-term outcomes were compared across clusters. Results: Among 419 patients, two phenotypes were identified. Cluster 1 (n = 52) was characterized by older age, a higher…
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Taxonomy
TopicsSepsis Diagnosis and Treatment · Acute Kidney Injury Research · Immune Response and Inflammation
