4.4 Article

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

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RESPIRATION
卷 101, 期 10, 页码 939-947

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KARGER
DOI: 10.1159/000525865

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Chronic obstructive pulmonary disease; Long-term mechanical ventilation; Home mechanical ventilation; Chronic hypercapnic respiratory failure; Phenotypes; Overlap syndrome; Latent class analysis; Survival; Prognosis

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This study investigated the prognosis-related phenotypes of COPD patients under LTNIV. Two phenotypes, respiratory COPD and systemic COPD, were identified through latent class analysis. The results showed a significant association between these phenotypes and the duration of NIV and survival.
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.

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