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February 8, 20260 citationsOpen Access

Unsupervised Clustering of Routine Inflammatory Markers in Cardiogenic Shock Reveals Phenotypic Heterogeneity Without Prognostic Utility

SASONG PENG ANGJRJackson RajendranYGYashika Gupta

Key Points

  • This research aims to identify inflammatory phenotypes in cardiogenic shock through clustering of routine laboratory indices.
  • Retrospective multicenter cohort study using eICU database (2014-2015)
  • Analyzed inflammatory indices derived from admission hematologic parameters
  • Employed principal component analysis, hierarchical clustering, and k-means clustering
  • Compared clinical characteristics and outcomes across identified clusters
  • Identified two distinct inflammatory phenotypes in 419 patients
  • Cluster 1 had older patients with higher prevalence of chronic kidney disease and severe inflammation
  • Cluster 2 showed lower inflammatory indices and biochemical derangement
  • No significant difference in short-term clinical outcomes across clusters despite biological differences

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 prevalence of chronic kidney disease (CKD), more advanced renal and hepatic dysfunction, along with a hyperinflammatory, lymphopenic profile. Cluster 2 (n = 367) exhibited comparatively lower inflammatory indices and less biochemical derangement. There was a significant difference in the prevalence of CKD, the need for mechanical ventilation, and history of malignancy between clusters. Despite clear biological separation, short-term clinical outcomes, including rates of acute kidney injury requiring renal replacement therapy, vasopressor use, hospital length of stay, and in-hospital mortality, were similar across clusters. Conclusions: These findings suggest that cardiogenic shock encompasses distinct inflammatory phenotypes, but inflammatory clustering based on routine admission laboratory data alone may have limited utility for short-term risk stratification.

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Cite This Study

ANG et al. (2026) studied this question.

synapsesocial.com/papers/698828770fc35cd7a8848007https://doi.org/10.3390/jpm16020096
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