Related Experiment Video
Updated: Aug 9, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Are Predictors for Overall Mortality in COPD Patients Robust over Time?
Noriane A Sievi1, Jerome Sepin2, Maurice Roeder1
1Department of Pulmonology, University Hospital Zurich, 8091 Zurich, Switzerland.
Longitudinal assessment of mortality predictors in chronic obstructive pulmonary disease (COPD) did not offer additional prognostic information compared to cross-sectional analysis. COPD mortality predictors appear time-independent, supporting the use of single-time-point measurements.
Area of Science:
- Pulmonary Medicine
- Epidemiology
- Clinical Research
Background:
- Mortality is a key outcome in chronic obstructive pulmonary disease (COPD) research.
- Predictors of COPD mortality are well-documented, but their temporal dynamics are often overlooked.
- This study investigates whether tracking predictors over time adds value to mortality risk prediction in COPD.
Purpose of the Study:
- To determine if longitudinal assessment of mortality predictors in COPD provides additional prognostic information compared to cross-sectional analysis.
- To evaluate the time-dependency of COPD mortality predictors.
- To assess the robustness of predictor effect estimates over time.
Main Methods:
- A longitudinal, prospective, non-interventional cohort study design was employed.
- Mild to very severe COPD patients were followed for up to seven years.
- Mortality and potential predictors were assessed annually.
Main Results:
- The study included 297 COPD patients (66% male, mean age 62.5 years, mean FEV1 48.8%).
- A total of 105 mortality events (35.4%) occurred, with a median survival of 8.2 years.
- No significant difference was found between raw and historical predictor values regarding predictive value for mortality. Effect estimates remained stable across study visits.
Conclusions:
- Longitudinal assessment of mortality predictors in COPD does not appear to provide additional prognostic information beyond cross-sectional measurements.
- The findings suggest that COPD mortality predictors are time-independent.
- Cross-sectional measurements of COPD mortality predictors offer robust effect estimates and are sufficient for risk assessment.
Related Concept Videos
Chronic Obstructive Pulmonary Disease
Smoking is a primary risk factor for COPD, with over 80% of patients having a history of it. Patients typically experience progressive dyspnea or labored breathing, frequent coughing, and recurrent pulmonary infections. Many eventually succumb to respiratory failure, characterized by...
Assumptions of Survival Analysis
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
COPD: Pathogenesis and Clinical Features
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
COPD: Management Using Bronchodilators and Corticosteroids
Chronic Obstructive Pulmonary Disease-I: Introduction

