2023
DOI: 10.1016/j.jchf.2023.05.007
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Clinical Course of Patients in Cardiogenic Shock Stratified by Phenotype

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Cited by 16 publications
(14 citation statements)
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“…14,17 Zweck et al used consensus k-means clustering to identify three clinical phenotypes on admission in CS patients with different early outcomes. 11,15 The same three CS phenotypes were replicated by Jentzer et al, with differences in 1 year of mortality observed between phenotypes. 16 In contrast to previous studies, our analysis examined host-response biomarkers that provide novel insights into the underlying pathophysiological processes.…”
Section: Discussionmentioning
confidence: 81%
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“…14,17 Zweck et al used consensus k-means clustering to identify three clinical phenotypes on admission in CS patients with different early outcomes. 11,15 The same three CS phenotypes were replicated by Jentzer et al, with differences in 1 year of mortality observed between phenotypes. 16 In contrast to previous studies, our analysis examined host-response biomarkers that provide novel insights into the underlying pathophysiological processes.…”
Section: Discussionmentioning
confidence: 81%
“…14 Previous studies have used a phenotyping approach including variables measured on admission to identify CS clinical phenotypes. 11,15,16 While most of these studies have focused on short-term survival after CS, long-term survival and quality of life are important patient-centred outcomes. 14,17 Zweck et al used consensus k-means clustering to identify three clinical phenotypes on admission in CS patients with different early outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Aggregate assessments via serial SCAI classification is an independent predictor of mortality [ 10 ] and patients who reach SCAI stage E at any stage during their hospital stay have at least a 2-fold increase in mortality compared to those who reached a maximum SCAI Stage of C or D [ 27 ]. Extending this further, phenotyping patients based on clinical variables on admission classified by a machine learning approach, enriched the prognostic accuracy of SCAI classification, identified a cohort likely to progress towards SCAI stage E and highlighted an association between phenotype and tMCS device [ 28 ]. The use of alternative composite prognostic risk scores, such as the IHVI shock [ 14 ] and CardShock [ 15 ] scores, was deemed uncertain.…”
Section: Discussionmentioning
confidence: 99%
“…The role of IABP as the initial tMCS modality in SCAI C HF-CS as a bridge to recovery or HRT was uncertain. Registry data demonstrate continued use of the IABP across all SCAI stages of HF-CS [ 10 , 11 , 28 ]. Conceptually, the differing physiology of HF-CS with volume and pressure overload as opposed to acute contractile dysfunction may result in comparatively greater afterload reduction and improved organ perfusion [ 34 ], a hypothesis supported by clinical data [ 27 , 28 ].…”
Section: Discussionmentioning
confidence: 99%
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