Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of Trajectory-Based Acute Kidney Injury Phenotypes Among Cardiac Surgery Patients.

The Annals of thoracic surgery - 1 Dec 2022

Andrew Benjamin Y, Pieper Carl F, Cherry Anne D, Pendergast Jane F, Privratsky Jamie R, Mathew Joseph P, Stafford-Smith Mark

Abstract excerpt

BACKGROUND: Acute kidney injury (AKI) is a common and serious complication of cardiac surgical procedures for which unrecognized heterogeneity may underpin poor success in identifying effective therapies. We aimed to identify phenotypically similar groups of patients as defined by their postoperative creatinine trajectories. METHODS: This was a retrospective, single-center cohort study in an academic tertiary...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Acute Kidney Injury
Share to Cardiac Surgical Procedures

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cohort Studies

Share to Creatinine

Share to Phenotype

Share to Postoperative Complications

Share to Risk Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 34968444
DOI: 10.1016/j.athoracsur.2021.11.047
PMCID: PMC9237188

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Trajectory-Based Acute Kidney Injury Phenotypes Among Cardiac Surgery Patients.PMID 34968444Read ↗

Early Blood Urea Nitrogen-to-Creatinine Ratio Trajectories Identify a High-Risk Cardiorenal- Metabolic Phenotype in Critically Ill Patients With Heart Failure: A Multicenter Cohort StudySemantic proximity Read ↗

Fine-grained subphenotypes in acute kidney injury populations based on deep clustering: Derivation and interpretation.Semantic proximity Read ↗

Identification of Subclasses of Decompensated Cirrhotic Patients with Acute Kidney Injury with Different Responses to Fluid Input.Semantic proximity Read ↗

Early KDIGO trajectories after sepsis-associated acute kidney injury onset: an exploratory retrospective cohort study using MIMIC-IVSemantic proximity Read ↗

Data-driven phenotypes across the full AKI severity spectrum in patients admitted to the ICU.Semantic proximity Read ↗

Sub-Phenotypes of Acute Kidney Injury: Do We Have Progress for Personalizing Care?Semantic proximity Read ↗

Evaluating the kidney disease progression using a comprehensive patient profiling algorithm: A hybrid clustering approachSemantic proximity Read ↗

Acute kidney injury subphenotypes based on creatinine trajectory identifies patients at increased risk of death.Semantic proximity Read ↗

Latent Class Analysis Identifies Pulmonary Function Trajectory Phenotypes in Lung Transplant Recipients with Chronic Allograft DysfunctionSemantic proximity Read ↗

Phenotyping of Acute Kidney Injury: Beyond Serum Creatinine.Semantic proximity Read ↗

Acute kidney injury subphenotyping and personalized medicine.Semantic proximity Read ↗

Identifying Novel Phenotypes of Renal Recovery and Progression in Sepsis-Associated Acute Kidney Injury: A Dynamic Time Warping Clustering Study in MIMIC-IIISemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.