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Long-Term Noninvasive Ventilation in Chronic Obstructive Pulmonary Disease: Association between Clinical Phenotypes and Survival

Authors :
Janssens, Jean-Paul
Cantero, Chloé
Pasquina, Patrick
Jaksic, Cyril
Adler, Dan
Uldry, Christophe
Egger, Bernard
Prella, Maura
Younossian, Alain Bigin
Rabec, Claudio
Soccal Gasche, Paola
Pépin, Jean-Louis
Geneva University Hospitals and Geneva University
Université de Genève = University of Geneva (UNIGE)
GHOL - Hôpital de Rolle [Rolle, Switzerland] (HR)
Groupement Hospitalier de l'Ouest Lémanique (GHOL)
Lausanne University Hospital
Centre Hospitalier Universitaire Vaudois [Lausanne] (CHUV)
Hôpital de la Tour [Meyrin, Switzerland] (HT)
CHU Dijon
Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)
Hypoxie et PhysioPathologie (HP2)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA)
Laboratoire d’EFCR [Grenoble]
Pôle Thorax et Vaisseaux [CHU Grenoble]
Centre Hospitalier Universitaire [Grenoble] (CHU)-Centre Hospitalier Universitaire [Grenoble] (CHU)
CHU Grenoble
All the investigators of the Geneva Lake Study.
SALAS, Danielle
Source :
Respiration, Respiration, 2022, pp.1-9. ⟨10.1159/000525865⟩
Publication Year :
2022

Abstract

International audience; Background: Long-term noninvasive ventilation (LTNIV) is widely used in patients with chronic hypercapnic respiratory failure (CHRF) related to COPD. Prognosis of these patients is however poor and heterogenous. Research Question: In COPD patients under LTNIV for CHRF, is it possible to identify specific phenotypes which are predictive of probability of pursuing NIV and survival? Study Design and Methods: A latent class analysis was performed in a COPD population under LTNIV included in a comprehensive database of patients in the Geneva Lake area, to determine clinically relevant phenotypes. The observation period of this subgroup of COPD was extended to allow assessment of survival and/or pursuit of NIV for at least 2 years after inclusion. A logistic regression was conducted to generate an equation accurately attributing an individual patient to a defined phenotype. The identified phenotypes were compared on a series of relevant variables, as well as for probability of pursuing NIV or survival. A competitive risk analysis allowed to distinguish death from other causes of cessation of NIV. Results: Two phenotypes were identified: a “respiratory COPD” profile with very severe airway obstruction, a low or normal body mass index, and a low prevalence of comorbidities and a “systemic COPD” profile of obese COPDs with moderate airway obstruction and a high rate of cardiovascular and metabolic comorbidities. The logistic regression correctly classified 95.7% of patients studied. Probability of pursuing NIV and survival were significantly related to these phenotypes, with a poorer prognosis for “respiratory COPD.” Probability of death 5 years after implementing NIV was 22.3% (95% CI: 15.4–32.2) for “systemic COPD” versus 47.2% (37.4–59.6) for “respiratory COPD” (p = 0.001). Conclusion: The two distinct phenotypes of COPD under LTNIV for CHRF identified appear to be strongly related to prognosis and require further validation in other cohort studies.

Details

ISSN :
14230356 and 00257931
Volume :
101
Issue :
10
Database :
OpenAIRE
Journal :
Respiration; international review of thoracic diseases
Accession number :
edsair.pmid.dedup....9d7821bfe002d9c4860b608a8d21a0be