Summary: Background: The Acute Chronic Obstructive Pulmonary Disease (COPD) Exacerbation Prediction Tool (ACCEPT) was developed for individualised prediction of COPD exacerbations. ACCEPT was well calibrated overall and had a high discriminatory power, but overestimated risk among individuals without recent exacerbations. The objectives of this study were to 1) fine-tune ACCEPT to make better predictions for individuals with a negative exacerbation history, 2) develop more parsimonious models, and 3) externally validate the models in a new dataset. Methods: We recalibrated ACCEPT using data from the Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points (ECLIPSE, a three-year observational study, 1,803 patients, 2,11...
Background: The study developed accurate explainable machine learning (ML) models for predicting fir...
Background: The National Early Warning Score (NEWS), proposed as a standardised track and trigger sy...
Background COPDPredict™ is a novel digital application dedicated to providing early warning of im...
Loes CM Bertens,1 Johannes B Reitsma,1 Karel GM Moons,1 Yvonne van Mourik,1 Jan Willem J Lammers,2 B...
Introduction: There is currently no accepted way to risk-stratify hospitalised exacerbations of chro...
Background:The National Early Warning Score (NEWS), proposed as a standardised track and trigger sys...
Marjan Kerkhof,1 Daryl Freeman,2 Rupert Jones,3 Alison Chisholm,4 David B Price1,5 On behalf of the...
Srinivas Annavarapu,1 Seth Goldfarb,1 Melissa Gelb,2 Chad Moretz,1 Andrew Renda,3 Shuchita Kaila2 1...
PURPOSE: Acute COPD exacerbations account for much of the rising disability and costs associated wit...
Martine Hoogendoorn,1 Talitha L Feenstra,2,3 Melinde Boland,1 Andrew H Briggs,4 Sixten Borg,5 Sven-A...
Exacerbations are important outcomes in COPD both from a clinical and an economic perspective. Most ...
BACKGROUND: The exacerbations of chronic obstructive pulmonary disease tool (EXACT) is a condition-s...
Background: Contemporary management guidelines for chronic obstructive pulmonary disease (COPD) rely...
BACKGROUND: Demographic and disease characteristics have been associated with the risk of chronic ob...
Introduction: Many patients with chronic obstructive pulmonary disease (COPD) do not report exacerba...
Background: The study developed accurate explainable machine learning (ML) models for predicting fir...
Background: The National Early Warning Score (NEWS), proposed as a standardised track and trigger sy...
Background COPDPredict™ is a novel digital application dedicated to providing early warning of im...
Loes CM Bertens,1 Johannes B Reitsma,1 Karel GM Moons,1 Yvonne van Mourik,1 Jan Willem J Lammers,2 B...
Introduction: There is currently no accepted way to risk-stratify hospitalised exacerbations of chro...
Background:The National Early Warning Score (NEWS), proposed as a standardised track and trigger sys...
Marjan Kerkhof,1 Daryl Freeman,2 Rupert Jones,3 Alison Chisholm,4 David B Price1,5 On behalf of the...
Srinivas Annavarapu,1 Seth Goldfarb,1 Melissa Gelb,2 Chad Moretz,1 Andrew Renda,3 Shuchita Kaila2 1...
PURPOSE: Acute COPD exacerbations account for much of the rising disability and costs associated wit...
Martine Hoogendoorn,1 Talitha L Feenstra,2,3 Melinde Boland,1 Andrew H Briggs,4 Sixten Borg,5 Sven-A...
Exacerbations are important outcomes in COPD both from a clinical and an economic perspective. Most ...
BACKGROUND: The exacerbations of chronic obstructive pulmonary disease tool (EXACT) is a condition-s...
Background: Contemporary management guidelines for chronic obstructive pulmonary disease (COPD) rely...
BACKGROUND: Demographic and disease characteristics have been associated with the risk of chronic ob...
Introduction: Many patients with chronic obstructive pulmonary disease (COPD) do not report exacerba...
Background: The study developed accurate explainable machine learning (ML) models for predicting fir...
Background: The National Early Warning Score (NEWS), proposed as a standardised track and trigger sy...
Background COPDPredict™ is a novel digital application dedicated to providing early warning of im...