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Which FEV1 Decline Index Best Predicts Mortality in COPD? A 15-year Cohort Study
Raúl Galera1, Raquel Casitas1, Adelaida Gavilán2
1Servicio de Neumología, Hospital Universitario La Paz-IdiPAZ, Madrid, Spain; Grupo de Enfermedades Respiratorias, IdiPAZ, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.
Objective:
Forced expiratory volume in one second (FEV1) remains the standard parameter for assessing airflow limitation, although the most appropriate expression of its decline for prognostic evaluation remains unclear. This study aims to assess the prognostic significance of different annual FEV1 decline indices for medium- and long-term mortality in COPD.
Methods:
One thousand two hundred forty-seven patients with clinically diagnosed COPD were included, each undergoing at least three annual spirometric evaluations. Six FEV1 indices were analysed: absolute value, percentage of predicted, z-score, FEV1 normalized by height squared (FEV1·Ht-2) and cubed (FEV1·Ht-3), and FEV1Q. Longitudinal changes were estimated using random-coefficient models. The primary outcome was all-cause mortality over a 15-year follow-up.
Results:
A total of 12,863 person-years were analysed. During the follow-up, 577 patients (46.3%) died. All FEV1 indices were significantly associated with mortality risk. However, in multivariate analysis, only the annual decline in FEV1z-score remained an independent predictor (adjusted hazard ratio 0.104, 95% confidence interval 0.080-0.135, p<0.001). ROC analyses demonstrated that FEV1z-score decline provided superior predictive accuracy compared to other indices. A z-score annual decline ≥-0.1969/year was associated with a 4.6-fold increased mortality risk. Additionally, the baseline value of FEV1·Ht-3 showed greater prognostic value than the other baseline FEV1 indices.
Conclusion:
The annual decline in FEV1z-score is the most robust FEV1 expression predictor of long-term mortality in COPD. These findings suggest that incorporating longitudinal z-score assessments into clinical practice may improve risk stratification and patient management.
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