Advanced biomarker clustering analysis reveals mortality predictors ...

The study identified four patient clusters with unique lactate level trajectories. Significant findings include the identification of ...

Advanced biomarker clustering analysis reveals mortality predictors in burn patients with sepsis. Sci Rep. 2024 Oct 1;14(1):22784. doi: 10.1038/s41598-024- ...

(PDF) Advanced biomarker clustering analysis reveals mortality ...

Advanced biomarker clustering analysis reveals mortality predictors in burn patients with sepsis. October 2024; Scientific Reports 14(1). DOI ...

Advanced biomarker clustering analysis reveals mortality predictors ...

biomarkers for mortality prediction. The study is a ... Advanced biomarker clustering analysis reveals mortality predictors in burn patients with sepsis.

Advanced biomarker clustering analysis reveals mortality predictors ...

Advanced biomarker clustering analysis reveals mortality predictors in burn patients with sepsis. https://doi.org/10.1038/s41598-024-74313-8 ·. Journal ...

Longitudinal profile of routine biomarkers for mortality prediction ...

Burn injury has high clinical heterogeneity and worse prognosis in severely burned patients. Clustering algorithms using unsupervised methods to identify ...

Evaluating clinical heterogeneity and predicting mortality in severely ...

Advanced biomarker clustering analysis reveals mortality predictors in burn patients with sepsis. Article Open access 01 October 2024 ...

Biochemical clusters predict mortality and reported inability to work ...

Immune-endocrine profiles are predictive of mortality within the following decade over and above age and disease burden.

Forest Plot of AUC Values across Clusters (A in Blue, B in Red, Cin...

... Clusters (A in Blue, B in Red, Cin Green, Din Orange). from publication: Advanced biomarker clustering analysis reveals mortality predictors in burn ...

Cluster analysis of blood biomarkers to identify molecular patterns in ...

Biomarker associations with mortality and change in percentage of predicted forced vital capacity (FVC%) were assessed, adjusting for age, ...

Combinations of biomarkers predictive of later life mortality - PNAS

Biomarkers examined in analyses included markers of neuroendocrine functioning (epinephrine, norepinephrine, cortisol, and dehydroepiandrosterone), immune ...

[PDF] Blood urea nitrogen - independent marker of mortality in ...

Advanced biomarker clustering analysis reveals mortality predictors in burn patients with sepsis ... 2022. TLDR. The prognostic prediction models established in ...

Biomarker Analysis Provides Evidence for Host Response ...

Using de novo subphenotyping techniques, neither clustering nor LPA revealed significant evidence for heterogeneity in the ward (P = .11-.13) ...

Association of Biomarker Clusters With Cardiac Phenotypes and ...

Serum biomarker–derived phenotypes can help inform the diagnosis and staging of heart failure and can improve prediction of mortality in HIV- ...

Metabolic predictors of COVID-19 mortality and severity: a survival ...

A hierarchical cluster analysis of identified metabolites revealed that COVID-19 symptoms severity clearly differed in their metabolic signatures ...

Biomarker Analysis Provides Evidence for Host Response ...

Using de novo subphenotyping techniques, neither clustering nor LPA revealed significant evidence for heterogeneity in the ward (P = .11-.13), ICU (P = .23 ...

Unsupervised cluster analysis reveals different phenotypes in ...

Mortality data and hospitalization due to cardiovascular events, such as heart failure, arrhythmia, coronary artery disease, stroke, prosthetic valve-related ...

Data-driven clustering approach to identify novel phenotypes using ...

... study of clustering analysis based on biomarkers ... Second, our findings in this study advance the understanding of circulating biomarker ...

Mortality Risk Profiling of Staphylococcus aureus Bacteremia by ...

... Analysis Reveals Early Predictive and Pathogenic Signatures. Jacob M ... An important factor to consider when performing biomarker analyses is the ...

Mutation-based clustering and classification analysis reveals ...

Conclusions. We highlight mutated genes to be characteristic for certain age groups and suggest novel age-based biomarkers and targets.