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<p class="MsoNormal" style="margin-bottom: 12.0pt; text-align: left; mso-line-height-alt: 14.0pt; layout-grid-mode: char; mso-layout-grid-align: none;" align="left">Physiological Phenotypes of Sepsis Reveal a Normotensive High-Risk “Cryptic Shock” State: An Unsupervised Machine Learning Analysis of a Multicentre ICU Cohort and External Validation in Mimic-IV

2026-01-20

Abstract excerpt

<h4>Background: </h4> Sepsis is a heterogeneous syndrome, yet current definitions and management guidelines emphasize standardized, blood pressure–driven interventions. This "one-size-fits-all" approach often obscures physiologically unstable patients who lack overt hypotension. We hypothesized that distinct, reproducible physiological phenotypes of sepsis exist and that some high-risk states remain under-recogniz...

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Literature Corpus work
9fe51520-57f2-52ea-ae95-b639e0d0316d
DOI
10.20944/preprints202601.1401.v1
Open publication

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<p class="MsoNormal" style="margin-bottom: 12.0pt; text-align: left; mso-line-height-alt: 14.0pt; layout-grid-mode: char; mso-layout-grid-align: none;" align="left">Physiological Phenotypes of Sepsis Reveal a Normotensive High-Risk “Cryptic Shock” State: An Unsupervised Machine Learning Analysis of a Multicentre ICU Cohort and External Validation in Mimic-IVDOI 10.20944/preprints202601.1401.v1
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