University of Washington Reports Findings in Cystic Fibrosis (Symptom phenotypin g in people with cystic fibrosis during acute pulmonary exacerbations using mach ine-learning K-means clustering analysis)
University of Washington Reports Findings in Cystic Fibrosis (Symptom phenotypin g in people with cystic fibrosis during acute pulmonary exacerbations using mach ine-learning K-means clustering analysis)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Lung Diseases and Cond itions-Cystic Fibrosis is the subject of a report. According to news reporting originating in Seattle, Washington, by NewsRx journalists, research stated, "Pe ople with cystic fibrosis (PwCF) experience frequent symptoms associated with ch ronic lung disease. A complication of CF is a pulmonary exacerbation (PEx), whic h is often preceded by an increase in symptoms and a decline in lung function." The news reporters obtained a quote from the research from the University of Was hington, "A symptom cluster is when two or more symptoms co-occur and are relate d; symptom clusters have contributed meaningful knowledge in other diseases. The purpose of this study is to discover symptom clustering patterns in PwCF during a PEx to illuminate symptom phenotypes and assess differences in recovery from PExs. This study was a secondary, longitudinal analysis (N = 72). Participants a t least 10 years of age and being treated with intravenous antibiotics for a CF PEx were enrolled in the United States. Symptoms were collected on treatment day s 1-21 using the CF Respiratory Symptom Diary (CFRSD)- Chronic Respiratory Sympto m Score (CRISS). K-means clustering was computed on day 1 symptom data to detect clustering patterns. Linear regression and multi-level growth models were perfo rmed. Symptoms significantly clustered based on severity: low symptom (LS)-pheno type (n = 42), high symptom (HS)- phenotype (n = 30). HS-phenotype had worse symp toms and CRISS scores (p <0.01) than LS-phenotype. HS-phen otype was associated with spending 5 more nights in the hospital annually (p <0.01) than LSphenotype. HS-phenotype had worse symptoms over 21 days than LS-p henotype (p <0.0001). Symptoms significantly cluster on da y 1 of a CF-PEx."
Key words
Seattle/Washington/United States/Nort h and Central America/Cyborgs/Cystic Fibrosis/Digestive System Diseases and C onditions/Drugs and Therapies/Emerging Technologies/Genetics/Health and Medi cine/Hospitals/Lung Diseases and Conditions/Machine Learning/Pancreatic Dise ases and Conditions/Respiratory Tract Diseases and Conditions
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