Clinical phenotyping in sarcoidosis using cluster analysis

被引:9
|
作者
Lin, Nancy W. [1 ,2 ]
Arbet, Jaron [3 ]
Mroz, Margaret M. [2 ]
Liao, Shu-Yi [1 ,2 ,3 ]
Restrepo, Clara, I [1 ,2 ]
Mayer, Annyce S. [2 ,3 ]
Li, Li [1 ,2 ]
Barkes, Briana Q. [2 ]
Schrock, Sarah [3 ]
Hamzeh, Nabeel [4 ]
Fingerlin, Tasha E. [3 ,5 ,6 ]
Carlson, Nichole E. [3 ]
Maier, Lisa A. [1 ,2 ,3 ,7 ]
机构
[1] Univ Colorado, Dept Med, Div Pulm Sci & Crit Care Med, Aurora, CO 80045 USA
[2] Natl Jewish Hlth, Div Environm & Occupat Hlth Sci, Dept Med, Denver, CO 80206 USA
[3] Colorado Sch Publ Hlth, Aurora, CO 80045 USA
[4] Univ Iowa, Dept Med, Iowa City, IA 52242 USA
[5] Natl Jewish Hlth, Ctr Genes Environm & Hlth, Denver, CO USA
[6] Natl Jewish Hlth, Dept Immunol & Genom Med, Denver, CO USA
[7] Natl Jewish Hlth, Div Environm & Occupat Hlth Sci, G211,1400 Jackson St, Denver, CO 80206 USA
基金
美国国家卫生研究院;
关键词
Cluster analysis; Disease severity; Phenotypes; Pulmonary; Sarcoidosis; PULMONARY-FUNCTION; PROGNOSIS; POPULATION; PREVALENCE; MORTALITY; SMOKING; OBESITY; MODEL; RISK;
D O I
10.1186/s12931-022-01993-z
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background Most phenotyping paradigms in sarcoidosis are based on expert opinion; however, no paradigm has been widely adopted because of the subjectivity in classification. We hypothesized that cluster analysis could be performed on common clinical variables to define more objective sarcoidosis phenotypes. Methods We performed a retrospective cohort study of 554 sarcoidosis cases to identify distinct phenotypes of sarcoidosis based on 29 clinical features. Model-based clustering was performed using the VarSelLCM R package and the Integrated Completed Likelihood (ICL) criteria were used to estimate number of clusters. To identify features associated with cluster membership, features were ranked based on variable importance scores from the VarSelLCM model, and additional univariate tests (Fisher's exact test and one-way ANOVA) were performed using q-values correcting for multiple testing. The Wasfi severity score was also compared between clusters. Results Cluster analysis resulted in 6 sarcoidosis phenotypes. Salient characteristics for each cluster are as follows: Phenotype (1) supranormal lung function and majority Scadding stage 2/3; phenotype (2) supranormal lung function and majority Scadding stage 0/1; phenotype (3) normal lung function and split Scadding stages between 0/1 and 2/3; phenotype (4) obstructive lung function and majority Scadding stage 2/3; phenotype (5) restrictive lung function and majority Scadding stage 2/3; phenotype (6) mixed obstructive and restrictive lung function and mostly Scadding stage 4. Although there were differences in the percentages, all Scadding stages were encompassed by all of the phenotypes, except for phenotype 1, in which none were Scadding stage 4. Clusters 4, 5, 6 were significantly more likely to have ever been on immunosuppressive treatment and had higher Wasfi disease severity scores. Conclusions Cluster analysis produced 6 sarcoidosis phenotypes that demonstrated less severe and severe phenotypes. Phenotypes 1, 2, 3 have less lung function abnormalities, a lower percentage on immunosuppressive treatment and lower Wasfi severity scores. Phenotypes 4, 5, 6 were characterized by lung function abnormalities, more parenchymal abnormalities, an increased percentage on immunosuppressive treatment and higher Wasfi severity scores. These data support using cluster analysis as an objective and clinically useful way to phenotype sarcoidosis subjects and to empower clinicians to identify those with more severe disease versus those who have less severe disease, independent of Scadding stage.
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页数:11
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