Phenotypes of Rapid Cystic Fibrosis Lung Disease Progression during Adolescence and Young Adulthood

被引:38
作者
Szczesniak, Rhonda D. [1 ,2 ,5 ]
Li, Dan [6 ]
Su, Weiji [7 ]
Brokamp, Cole [1 ]
Pestian, John [3 ,5 ]
Seid, Michael [2 ,4 ,5 ]
Clancy, John P. [2 ,5 ]
机构
[1] Cincinnati Childrens Hosp Med Ctr, Div Biostat & Epidemiol, Cincinnati, OH 45229 USA
[2] Cincinnati Childrens Hosp Med Ctr, Div Pulm Med, Cincinnati, OH 45229 USA
[3] Cincinnati Childrens Hosp Med Ctr, Div Biomed Informat, Cincinnati, OH 45229 USA
[4] Cincinnati Childrens Hosp Med Ctr, James M Anderson Ctr Hlth Syst Excellence, Cincinnati, OH 45229 USA
[5] Univ Cincinnati, Coll Med, Dept Pediat, Cincinnati, OH USA
[6] Univ Southern Calif, Keck Sch Med, Alzheimers Therapeut Res Inst, Los Angeles, CA 90033 USA
[7] Univ Cincinnati, Dept Math Sci, Cincinnati, OH USA
基金
美国国家卫生研究院;
关键词
cluster analysis; epidemiology; functional data analysis; nonlinear trajectories; pulmonary function; FUNCTION DECLINE; ASTHMA PHENOTYPES; CLUSTER-ANALYSIS; FUNCTIONAL DATA; RISK-FACTORS; MORTALITY; IDENTIFICATION; INHALATION; CHILDREN; MODELS;
D O I
10.1164/rccm.201612-2574OC
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Rationale: Individuals with cystic fibrosis are at risk for prolonged drops in lung function, clinically termed rapid decline, during discreet periods of the disease. Objectives: To identify phenotypes of rapid pulmonary decline and determine how these phenotypes are related to patient characteristics. Methods: A longitudinal cohort study of patients with cystic fibrosis aged 6-21 years was conducted using the Cystic Fibrosis Foundation Patient Registry. A statistical approach for clustering longitudinal profiles, sparse functional principal components analysis, was used to classify patients into distinct phenotypes by evaluating trajectories of FEY1 decline. Phenotypes were compared with respect to baseline and mortality characteristics. Measurements and Main Results: Three distinct phenotypes of rapid decline were identified, corresponding to early, middle, and late timing of maximal FEAT]. loss, in the overall cohort (n = 18,387). The majority of variation (first functional principal component, 94%) among patient profiles was characterized by differences in mean longitudinal FEV1 trajectories. Average degree of rapid decline was similar among phenotypes (roughly -3% predicted/yr); however, average timing differed, with early, middle, and late phenotypes experiencing rapid decline at 12.9,16.3, and 18.5 years of age, respectively. Individuals with the late phenotype had the highest initial FEV1 but experienced the greatest loss of lung function. The early phenotype was more likely to have respiratory infections and acute exacerbations at baseline or to develop them subsequently, compared with other phenotypes. Conclusions: By identifying phenotypes and associated risk factors, timing of interventions may be more precisely targeted for subgroups at highest risk of lung function loss.
引用
收藏
页码:471 / 478
页数:8
相关论文
共 31 条
[1]   Acute Exacerbations of Chronic Obstructive Pulmonary Disease Identification of Biologic Clusters and Their Biomarkers [J].
Bafadhel, Mona ;
McKenna, Susan ;
Terry, Sarah ;
Mistry, Vijay ;
Reid, Carlene ;
Haldar, Pranabashis ;
McCormick, Margaret ;
Haldar, Koirobi ;
Kebadze, Tatiana ;
Duvoix, Annelyse ;
Lindblad, Kerstin ;
Patel, Hemu ;
Rugman, Paul ;
Dodson, Paul ;
Jenkins, Martin ;
Saunders, Michael ;
Newbold, Paul ;
Green, Ruth H. ;
Venge, Per ;
Lomas, David A. ;
Barer, Michael R. ;
Johnston, Sebastian L. ;
Pavord, Ian D. ;
Brightling, Christopher E. .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2011, 184 (06) :662-671
[2]   Assessing Differences in Mortality Rates and Risk Factors Between Hispanic and Non-Hispanic Patients With Cystic Fibrosis in California [J].
Buu, MyMy C. ;
Sanders, Lee M. ;
Mayo, Jonathan A. ;
Milla, Carlos E. ;
Wise, Paul H. .
CHEST, 2016, 149 (02) :380-389
[3]   Nonparametric Signal Extraction and Measurement Error in the Analysis of Electroencephalographic Activity During Sleep [J].
Crainiceanu, Ciprian M. ;
Caffo, Brian S. ;
Di, Chong-Zhi ;
Punjabi, Naresh M. .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2009, 104 (486) :541-555
[4]  
Cystic Fibrosis Foundation, 2014, Cystic Fibrosis Foundation Patient Registry 2014 Annual Data Report
[5]  
Fitzmaurice G, 2009, CH CRC HANDB MOD STA, P1
[6]   Aortopulmonary collateral flow in cystic fibrosis assessed with phase-contrast MRI [J].
Fleck, Robert ;
McPhail, Gary ;
Szczesniak, Rhonda ;
Knowlton, Joshua ;
Radhakrishnan, Rupa ;
Clancy, John ;
Amin, Raouf .
PEDIATRIC RADIOLOGY, 2013, 43 (10) :1279-1286
[7]   Shape information from glucose curves: Functional data analysis compared with traditional summary measures [J].
Froslie, Kathrine Frey ;
Roislien, Jo ;
Qvigstad, Elisabeth ;
Godang, Kristin ;
Bollerslev, Jens ;
Voldner, Nanna ;
Henriksen, Tore ;
Veierod, Marit B. .
BMC MEDICAL RESEARCH METHODOLOGY, 2013, 13
[8]   Cluster analysis and clinical asthma phenotypes [J].
Haldar, Pranab ;
Pavord, Ian D. ;
Shaw, Dominic E. ;
Berry, Michael A. ;
Thomas, Michael ;
Brightling, Christopher E. ;
Wardlaw, Andrew I. ;
Green, Ruth H. .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2008, 178 (03) :218-224
[9]   Spirometric reference values from a sample of the general US population [J].
Hankinson, JL ;
Odencrantz, JR ;
Fedan, KB .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 1999, 159 (01) :179-187
[10]   A systematic review of studies examining the rate of lung function decline in patients with cystic fibrosis [J].
Harun, Sabariah Noor ;
Wainwright, Claire ;
Klein, Kerenaftali ;
Hennig, Stefanie .
PAEDIATRIC RESPIRATORY REVIEWS, 2016, 20 :55-66