Cargando…

Tracking longitudinal biomarkers in burn patients with sepsis and acute kidney injury: an unsupervised clustering approach

BACKGROUND: Sepsis is a grave medical disorder characterized by a systemic inflammatory response to infection. Furthermore, it is a leading cause of morbidity and mortality, especially in hospitalized patients. Acute kidney injury (AKI) is a common complication of sepsis and is associated with incre...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Myongjin, Kym, Dohern, Hur, Jun, Park, Jongsoo, Yoon, Jaechul, Cho, Yong Suk, Chun, Wook, Yoon, Dogeon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464319/ https://www.ncbi.nlm.nih.gov/pubmed/37626427 http://dx.doi.org/10.1186/s40001-023-01268-3

Ejemplares similares

Evaluating clinical heterogeneity and predicting mortality in severely burned patients through unsupervised clustering and latent class analysis
por: Kim, Sungmin, et al.
Publicado: (2023)

Longitudinal profile of routine biomarkers for mortality prediction using unsupervised clustering algorithm in severely burned patients: a retrospective cohort study with prospectively collected data
por: Yoon, Jaechul, et al.
Publicado: (2023)

Validation of Sepsis-3 using survival analysis and clinical evaluation of quick SOFA, SIRS, and burn-specific SIRS for sepsis in burn patients with suspected infection
por: Yoon, Jaechul, et al.
Publicado: (2023)

Trajectories of longitudinal biomarkers for mortality in severely burned patients
por: Yoon, Jaechul, et al.
Publicado: (2020)

Time-varying discrimination accuracy of longitudinal biomarkers for the prediction of mortality compared to assessment at fixed time point in severe burns patients
por: Yoon, Jaechul, et al.
Publicado: (2021)

Diagnostic performance of plasma and urine neutrophil gelatinase-associated lipocalin, cystatin C, and creatinine for acute kidney injury in burn patients: A prospective cohort study
por: Kim, Youngmin, et al.
Publicado: (2018)

Evaluation of diagnostic biomarkers for acute kidney injury in major burn patients
por: Kym, Dohern, et al.
Publicado: (2015)

Subgroup analysis of continuous renal replacement therapy in severely burned patients
por: Yoon, Jaechul, et al.
Publicado: (2017)

Does inhalation injury predict mortality in burns patients or require redefinition?
por: Kim, Youngmin, et al.
Publicado: (2017)

Use of Fibrin Sealant for Split-Thickness Skin Grafts in Patients with Hand Burns: A Prospective Cohort Study
por: Kim, Youngmin, et al.
Publicado: (2018)

Development of a risk prediction model (Hangang) and comparison with clinical severity scores in burn patients
por: Kim, Youngmin, et al.
Publicado: (2019)

Frontal lobe hemodynamics detected by functional near-infrared spectroscopy during head-up tilt table tests in patients with electrical burns
por: Kim, Yoo Hwan, et al.
Publicado: (2022)

Clinical application of functional near-infrared spectroscopy for burn assessment
por: Kim, Yoo Hwan, et al.
Publicado: (2023)

Assessment of biochemical markers in the early post-burn period for predicting acute kidney injury and mortality in patients with major burn injury: comparison of serum creatinine, serum cystatin-C, plasma and urine neutrophil gelatinase-associated lipocalin
por: Yang, Hyeong Tae, et al.
Publicado: (2014)

Management of neck contractures by single-stage dermal substitutes and skin grafting in extensive burn patients
por: Seo, Dong-Kook, et al.
Publicado: (2014)

Serial Changes of Heat Shock Protein 70 and Interleukin-8 in Burn Blister Fluid
por: Yoo, Kicheol, et al.
Publicado: (2017)

Investigation of relationship between inhalation injury assessment and prognosis in burn patients
por: Yang, Hyeong Tae, et al.
Publicado: (2011)

The Factors Associated with Contact Burns from Therapeutic Modalities
por: Mun, Jeong-Hyeon, et al.
Publicado: (2012)

Retrospective study of prognosis and relating factors of cardiac complications associated with electrical injuries at a single centre in Korea
por: Choi, Jae Hyuk, et al.
Publicado: (2019)

Unsupervised clustering identifies sub-phenotypes and reveals novel outcome predictors in patients with dialysis-requiring sepsis-associated acute kidney injury
por: Lai, Chun-Fu, et al.
Publicado: (2023)

An unsupervised neuromorphic clustering algorithm
por: Diamond, Alan, et al.
Publicado: (2019)

In sepsis, 88% of bacteraemia patients are discriminated by unsupervised hierarchical cluster analysis of 5 inflammatory mediators
por: Mosevoll, KA, et al.
Publicado: (2015)

Accelerated Wound Healing by Fibroblasts Differentiated from Human Embryonic Stem Cell-Derived Mesenchymal Stem Cells in a Pressure Ulcer Animal Model
por: Yoon, Dajeong, et al.
Publicado: (2018)

The association between vitamin D levels and burn factors in different burn types
por: Cho, Yoon Soo, et al.
Publicado: (2020)

GibbsCluster: unsupervised clustering and alignment of peptide sequences
por: Andreatta, Massimo, et al.
Publicado: (2017)

Unsupervised ranking of clustering algorithms by INFOMAX
por: Sikdar, Sandipan, et al.
Publicado: (2020)

Changes in the Levels of Interleukins 6, 8, and 10, Tumor Necrosis Factor Alpha, and Granulocyte-colony Stimulating Factor in Korean Burn Patients: Relation to Burn Size and Postburn Time
por: Kim, Hyun Soo, et al.
Publicado: (2012)

Human myeloid‐derived suppressor cell expansion during sepsis is revealed by unsupervised clustering of flow cytometric data
por: De Zuani, Marco, et al.
Publicado: (2021)

Robust Arm and Hand Tracking by Unsupervised Context Learning
por: Spruyt, Vincent, et al.
Publicado: (2014)

An unsupervised learning approach for tracking mice in an enclosed area
por: Unger, Jakob, et al.
Publicado: (2017)

Unsupervised statistical clustering of environmental shotgun sequences
por: Kislyuk, Andrey, et al.
Publicado: (2009)

Unsupervised Two-Way Clustering of Metagenomic Sequences
por: Prabhakara, Shruthi, et al.
Publicado: (2012)

Unsupervised clustering and epigenetic classification of single cells
por: Zamanighomi, Mahdi, et al.
Publicado: (2018)

The Application of Unsupervised Clustering Methods to Alzheimer’s Disease
por: Alashwal, Hany, et al.
Publicado: (2019)

Stability estimation for unsupervised clustering: A review
por: Liu, Tianmou, et al.
Publicado: (2022)

Identification of High Likelihood of Dementia in Population-Based Surveys using Unsupervised Clustering: a Longitudinal Analysis
por: Gharbi-Meliani, Amin, et al.
Publicado: (2023)

Identification of high likelihood of dementia in population-based surveys using unsupervised clustering: a longitudinal analysis
por: Gharbi-Meliani, Amin, et al.
Publicado: (2023)

Biomarkers of sepsis in burn patients
por: Oueslati, H, et al.
Publicado: (2010)

A systematic review of translation and experimental studies on internal anal sphincter for fecal incontinence
por: Kim, Minsung, et al.
Publicado: (2022)

Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos
por: Shahid, Kazi Tanzeem, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_hqm2svhuq0o52ni3q0tvrecv8l