Dataset Information

The COPD multi-dimensional phenotype: A new classification from the STORICO Italian observational study.

ABSTRACT: BACKGROUND:This paper is aimed to (i) develop an innovative classification of COPD, multi-dimensional phenotype, based on a multidimensional assessment; (ii) describe the identified multi-dimensional phenotypes. METHODS:An exploratory factor analysis to identify the main classificatory variables and, then, a cluster analysis based on these variables were run to classify the COPD-diagnosed 514 patients enrolled in the STORICO (trial registration number: NCT03105999) study into multi-dimensional phenotypes. RESULTS:The circadian rhythm of symptoms and health-related quality of life, but neither comorbidity nor respiratory function, qualified as primary classificatory variables. Five multidimensional phenotypes were identified: the MILD COPD characterized by no night-time symptoms and the best health status in terms of quality of life, quality of sleep, level of depression and anxiety, the MILD EMPHYSEMATOUS with prevalent dyspnea in the early-morning and day-time, the SEVERE BRONCHITIC with nocturnal and diurnal cough and phlegm, the SEVERE EMPHYSEMATOUS with nocturnal and diurnal dyspnea and the SEVERE MIXED COPD distinguished by higher frequency of symptoms during 24h and worst quality of life, of sleep and highest levels of depression and anxiety. CONCLUSIONS:Our results showed that properly collected respiratory symptoms play a primary classificatory role of COPD patients. The longitudinal observation will disclose the discriminative and prognostic potential of the proposed multidimensional phenotype. TRIAL REGISTRATION:Trial registration number: NCT03105999, date of registration: 10th April 2017.

SUBMITTER: Antonelli Incalzi R

PROVIDER: S-EPMC6743765 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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The COPD multi-dimensional phenotype: A new classification from the STORICO Italian observational study.

Antonelli Incalzi Raffaele R Canonica Giorgio Walter GW Scichilone Nicola N Rizzoli Sara S Simoni Lucia L Blasi Francesco F

PloS one 20190913 9

<h4>Background</h4>This paper is aimed to (i) develop an innovative classification of COPD, multi-dimensional phenotype, based on a multidimensional assessment; (ii) describe the identified multi-dimensional phenotypes.<h4>Methods</h4>An exploratory factor analysis to identify the main classificatory variables and, then, a cluster analysis based on these variables were run to classify the COPD-diagnosed 514 patients enrolled in the STORICO (trial registration number: NCT03105999) study into mult ...[more]

PMID: 31518364

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Dataset Information

The COPD multi-dimensional phenotype: A new classification from the STORICO Italian observational study.

Publications

The COPD multi-dimensional phenotype: A new classification from the STORICO Italian observational study.

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