Controlling Nutritional Status Score as a Predictor for Chronic Obstructive Pulmonary Disease Exacerbation Risk in Elderly Patients

Author:

Lo Buglio Aurelio1ORCID,Scioscia Giulia2ORCID,Bellanti Francesco1ORCID,Tondo Pasquale2ORCID,Soccio Piera2,Natale Matteo Pio2,Lacedonia Donato2,Vendemiale Gianluigi1

Affiliation:

1. Department of Medical and Surgical Sciences, Institute of Internal Medicine, University of Foggia, Policlinico of Foggia, 71122 Foggia, Italy

2. Department of Medical and Surgical Sciences, Institute of Respiratoy Diseases, University of Foggia, Policlinico of Foggia, 71122 Foggia, Italy

Abstract

The Controlling Nutritional Status (CONUT) score is a simple screening tool able to assess poor nutritional status as well as to predict clinical adverse outcomes in different clinical settings. No data are available in older patients with chronic obstructive pulmonary disease (COPD). This study aimed to investigate the CONUT score as a predictor of frequent exacerbations. We retrospectively enrolled 222 patients aged 65 years or older, classified in two groups according to the number of exacerbations (or hospitalizations because AECOPD) during the previous year. The two groups were further divided according to low (<5) or high (≥5) CONUT scores. A total of 67.2% of frequent exacerbators had a high CONUT score. These patients exhibited a significantly higher CAT score, lower FEV1 percentage value, and higher prevalence of severe GOLD stages compared to those with low CONUT. Multivariate analysis showed that a CONUT score ≥ 5 was the best independent predictor (OR 20.740, p < 0.001) of the occurrence of ≥2 exacerbations (or 1 hospitalization) during the previous year. The CONUT score seemed to have a high prognostic value for frequent exacerbations for COPD in older patients. The predictive role of different CONUT score cut-off values needs to be validated in larger COPD populations in future multi-center, prospective clinical studies.

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry,Endocrinology, Diabetes and Metabolism

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