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RESEARCH PRODUCT

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

Raffaele Antonelli-incalziGiorgio Walter CanonicaNicola ScichiloneSara RizzoliLucia SimoniFrancesco BlasiStorico Study Group

subject

MalePulmonologyPhysiologyComorbidityAnxietyPathology and Laboratory MedicineCohort StudiesPulmonary Disease Chronic ObstructiveMathematical and Statistical TechniquesQuality of lifeMedicine and Health SciencesCoughingCluster AnalysisRespiratory functionPublic and Occupational HealthAged 80 and overCOPDMultidisciplinaryDepressionApplied MathematicsSimulation and ModelingQStatisticsRMiddle AgedExploratory factor analysisCircadian RhythmBody FluidsCircadian RhythmsPhenotypeItalyPhysical SciencesAnxietyMedicineFemalemedicine.symptomAnatomyFactor AnalysisAlgorithmsCohort studyResearch Articlemedicine.medical_specialtyScienceMemory EpisodicChronic Obstructive Pulmonary DiseaseSettore MED/10 - Malattie Dell'Apparato RespiratorioResearch and Analysis MethodsClustering AlgorithmsSigns and SymptomsDiagnostic MedicineInternal medicinemedicineCOPDHumansStatistical MethodsAgedbusiness.industryBiology and Life SciencesPhysical Activitymedicine.diseaseComorbidityrespiratory tract diseasesMucusDyspneaCoughQuality of LifeObservational studybusinessFactor Analysis StatisticalSleepPhysiological ProcessesChronobiologymultiple phenotypesMathematics

description

BackgroundThis 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.MethodsAn 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.ResultsThe 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.ConclusionsOur 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 registrationTrial registration number: NCT03105999, date of registration: 10th April 2017.

10.1371/journal.pone.0221889https://pubmed.ncbi.nlm.nih.gov/31518364