Back to search

Article

Development and Validation of a Predictive Model for Survival Outcomes in Patients with Paroxysmal versus Persistent Atrial Fibrillation: A Retrospective Cohort Study Based on the MIMIC-IV Database

2025-08-21

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Atrial fibrillation (AF) has been implicated in increasing all-cause mortality among patients in intensive care unit (ICU), with paroxysmal atrial fibrillation (PAF) often progressing over time to persistent atrial fibrillation (PersAF), which carries an even higher risk of death compared to PAF. Our study aims to analyze the survival disparities between pati...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
056ebe2d-b004-55b1-a174-733e3db976bb
DOI
10.21203/rs.3.rs-6891214/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development and Validation of a Predictive Model for Survival Outcomes in Patients with Paroxysmal versus Persistent Atrial Fibrillation: A Retrospective Cohort Study Based on the MIMIC-IV DatabaseDOI 10.21203/rs.3.rs-6891214/v1
Mortality Prediction in the elderly patients with Coronary Artery Disease and Atrial Fibrillation: A Retrospective Machine Learning ApproachSemantic proximity
Leading organ-failure phenotype and subsequent new-onset atrial fibrillation in prolonged ICU stays: derivation in MIMIC-IV and external validation in eICU-CRDSemantic proximity
Development and validation of postoperative predictive recurrence nomograms in patients with persistent atrial fibrillation: a retrospective cohort studySemantic proximity
Clinical phenotype classification to predict risk and optimize the management of patients with atrial fibrillation using the Atrial Fibrillation Better Care (ABC) pathway: a report from the COOL-AF registry.Semantic proximity
Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis.Semantic proximity
Outcomes in Atrial Fibrillation Patients with Different Clinical Phenotypes: Insights from the French PopulationSemantic proximity
Nomogram Model for Screening the Risk of Frailty in Elderly Atrial Fibrillation Patients: A cross-sectional studySemantic proximity
Development and validation of a new nomogram model for predicting acute ischemic stroke in elderly patients with non-valvular atrial fibrillation:A single-center cross-sectional studySemantic proximity
Outcome and life expectancy associated with novel subgroups of atrial fibrillation: a data-driven cluster analysisSemantic proximity
Machine Learning-Driven Identification of Distinct Persistent Atrial Fibrillation Phenotypes: A Cluster Analysis of DECAAF II.Semantic proximity
Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) General Long-Term Registry.Semantic proximity
Association of of Atrial Fibrillation Clinical Phenotypes With Treatment Patterns and Outcomes: A Multicenter Registry Study.Semantic proximity
Select a neighboring publication to make it the new centre.