ArticleNature communications2024
Identifying septic shock subgroups to tailor fluid strategies through multi-omics integration.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- The molecular ICU: a primer on omics, informatics and the future of precision critical care.Critical care (London, England) · 2026Review
- European Society of Intensive Care Medicine Clinical Practice Guideline on fluid therapy in adult critically ill patients: A path toward improved patient management.Journal of intensive medicine · 2026Article
- The Tip of the Iceberg: Pathway Biology Must Anchor the Next Generation of Critical Care Trials.Critical care explorations · 2026Article
- A generalist precision medication framework using temporal causal inference based on treatment-free physiological profiles.Nature communications · 2026Article
- Development and validation of clinical phenotypes in sepsis-associated liver injury using multi-algorithm consensus classification: a retrospective cohort study.BMC infectious diseases · 2026Article
- Dynamic gut responses to sepsis uncovered by multi-omics profiling in a rodent model.Communications biology · 2026Article
- Large-scale proteomic profiling identifies distinct inflammatory phenotypes in acute respiratory distress syndrome: a multicentre, prospective cohort study.The European respiratory journal · 2026Article
- Data-driven spatial-temporal framework for exploring the heterogeneity and temporality of sepsis.Chinese medical journal · 2026Review
- Clinical subphenotypes and molecular endotypes in sepsis: toward an integrated and dynamic framework.Annals of intensive care · 2026Review
- The physiologic power of fluid circulation and implications for fluid therapy.Frontiers in veterinary science · 2026Review
- Timing of lactated Ringer's administration relative to Sepsis-3 diagnosis and 28-day mortality: A retrospective propensity score-matched cohort study.SAGE open medicine · 2026Article
- Genetic associations in sepsis and ARDS.Frontiers in pharmacology · 2026Review
- Identification of Clinical Subtypes of Surgical Sepsis in Critically Ill Patients Based on K-Means Clustering and Development of Parsimonious Classifier Model for High-Risk Subtype.Journal of inflammation research · 2026Article
- The role of artificial intelligence in burn assessment, complication diagnosis, and outcome prediction: a narrative review.Burns & trauma · 2026Review
- Multi-omic and computational approaches for biomarker discovery and clinical translation in pediatric sepsis.Frontiers in pharmacology · 2026Review
- Prognostic impact of persistent versus transient sepsis-associated thrombocytopenia in multicohort data.iScience · 2025Article
- Impact of 30 mL/kg fluid resuscitation completed within one hour on elderly septic shock patient.Annals of medicine · 2025Observational
- Subphenotyping sepsis based on organ interaction trajectory using a deep temporal graph clustering model: a retrospective cohort study.EClinicalMedicine · 2025Article
- Deriving consensus sepsis clusters via goal-directed subgroup identification in multi-omics study.Nature communications · 2025Article
- Research Progress on Sepsis Diagnosis and Monitoring Based on Omics Technologies: A Review.Diagnostics (Basel, Switzerland) · 2025Review
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19 authors.
Funding
Abstract
Fluid management remains a critical challenge in the treatment of septic shock, with individualized approaches lacking. This study aims to develop a statistical model based on transcriptomics to identify subgroups of septic shock patients with varied responses to fluid strategy. The study encompasses 494 septic shock patients. A benefit score is derived from the transcriptome space, with higher values indicating greater benefits from restrictive fluid strategy. Adherence to the recommended strategy is associated with a hazard ratio of 0.82 (95% confidence interval: 0.64-0.92). When applied to the baseline hospital mortality rate of 16%, adherence to the recommended fluid strategy could potentially lower this rate to 13%. A proteomic signature comprising six proteins is developed to predict the benefit score, yielding an area under the curve of 0.802 (95% confidence interval: 0.752-0.846) in classifying patients who may benefit from a restrictive strategy. In this work, we develop a proteomic signature with potential utility in guiding fluid strategy for septic shock patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.