Cluster analysis categorizes five phenotypes of pulmonary tuberculosis
Abstract Tuberculosis (TB) has a heterogeneous phenotype, which makes it challenging to diagnose. Our study aimed to identify TB phenotypes through cluster analysis and compare their initial symptomatic, microbiological and radiographic characteristics. We systemically collected data of notified TB...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2022-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-13526-1 |
| _version_ | 1811343489702559744 |
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| author | Hyeon-Kyoung Koo Jinsoo Min Hyung Woo Kim Yousang Ko Jee Youn Oh Yun-Jeong Jeong Hyeon Hui Kang Ji Young Kang Sung-Soon Lee Minseok Seo Edwin K. Silverman Ju Sang Kim Jae Seuk Park |
| author_facet | Hyeon-Kyoung Koo Jinsoo Min Hyung Woo Kim Yousang Ko Jee Youn Oh Yun-Jeong Jeong Hyeon Hui Kang Ji Young Kang Sung-Soon Lee Minseok Seo Edwin K. Silverman Ju Sang Kim Jae Seuk Park |
| author_sort | Hyeon-Kyoung Koo |
| collection | DOAJ |
| description | Abstract Tuberculosis (TB) has a heterogeneous phenotype, which makes it challenging to diagnose. Our study aimed to identify TB phenotypes through cluster analysis and compare their initial symptomatic, microbiological and radiographic characteristics. We systemically collected data of notified TB patients notified in Korea and constructed a prospective, observational cohort database. Cluster analysis was performed using K-means clustering, and the variables to be included were determined by correlation network. A total of 4,370 subjects with pulmonary TB were enrolled in the study. Based on the correlation network, age and body mass index (BMI) were selected for the cluster analysis. Five clusters were identified and characterised as follows: (1) middle-aged overweight male dominance, (2) young-aged relatively female dominance without comorbidities, (3) middle-aged underweight male dominance, (4) overweight elderly with comorbidities and (5) underweight elderly with comorbidities. All clusters had distinct demographic and symptomatic characteristics. Initial microbiologic burdens and radiographic features also varied, including the presence of cavities and bilateral infiltration, which reflect TB-related severity. Cluster analysis of age and BMI identified five phenotypes of pulmonary TB with significant differences at initial clinical presentations. Further studies are necessary to validate our results and to assess their clinical implications. |
| first_indexed | 2024-04-13T19:30:04Z |
| format | Article |
| id | doaj.art-7bbd9bf68d624d4dbe13ab913da6e948 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-13T19:30:04Z |
| publishDate | 2022-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-7bbd9bf68d624d4dbe13ab913da6e9482022-12-22T02:33:13ZengNature PortfolioScientific Reports2045-23222022-06-0112111010.1038/s41598-022-13526-1Cluster analysis categorizes five phenotypes of pulmonary tuberculosisHyeon-Kyoung Koo0Jinsoo Min1Hyung Woo Kim2Yousang Ko3Jee Youn Oh4Yun-Jeong Jeong5Hyeon Hui Kang6Ji Young Kang7Sung-Soon Lee8Minseok Seo9Edwin K. Silverman10Ju Sang Kim11Jae Seuk Park12Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of MedicineDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Daejeon St. Mary’s Hospital, College of Medicine, The Catholic University of KoreaDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of KoreaDivision of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of MedicineDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of MedicineDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of MedicineDivision of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of MedicineDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Seoul St. Mary’s Hospital, The Catholic University of KoreaDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of MedicineDepartment of Computer Convergence Software, Korea UniversityChanning Division of Network Medicine, Brigham and Women’s HospitalDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of KoreaDivision of Pulmonary Medicine, Department of Internal Medicine, Dankook University College of MedicineAbstract Tuberculosis (TB) has a heterogeneous phenotype, which makes it challenging to diagnose. Our study aimed to identify TB phenotypes through cluster analysis and compare their initial symptomatic, microbiological and radiographic characteristics. We systemically collected data of notified TB patients notified in Korea and constructed a prospective, observational cohort database. Cluster analysis was performed using K-means clustering, and the variables to be included were determined by correlation network. A total of 4,370 subjects with pulmonary TB were enrolled in the study. Based on the correlation network, age and body mass index (BMI) were selected for the cluster analysis. Five clusters were identified and characterised as follows: (1) middle-aged overweight male dominance, (2) young-aged relatively female dominance without comorbidities, (3) middle-aged underweight male dominance, (4) overweight elderly with comorbidities and (5) underweight elderly with comorbidities. All clusters had distinct demographic and symptomatic characteristics. Initial microbiologic burdens and radiographic features also varied, including the presence of cavities and bilateral infiltration, which reflect TB-related severity. Cluster analysis of age and BMI identified five phenotypes of pulmonary TB with significant differences at initial clinical presentations. Further studies are necessary to validate our results and to assess their clinical implications.https://doi.org/10.1038/s41598-022-13526-1 |
| spellingShingle | Hyeon-Kyoung Koo Jinsoo Min Hyung Woo Kim Yousang Ko Jee Youn Oh Yun-Jeong Jeong Hyeon Hui Kang Ji Young Kang Sung-Soon Lee Minseok Seo Edwin K. Silverman Ju Sang Kim Jae Seuk Park Cluster analysis categorizes five phenotypes of pulmonary tuberculosis Scientific Reports |
| title | Cluster analysis categorizes five phenotypes of pulmonary tuberculosis |
| title_full | Cluster analysis categorizes five phenotypes of pulmonary tuberculosis |
| title_fullStr | Cluster analysis categorizes five phenotypes of pulmonary tuberculosis |
| title_full_unstemmed | Cluster analysis categorizes five phenotypes of pulmonary tuberculosis |
| title_short | Cluster analysis categorizes five phenotypes of pulmonary tuberculosis |
| title_sort | cluster analysis categorizes five phenotypes of pulmonary tuberculosis |
| url | https://doi.org/10.1038/s41598-022-13526-1 |
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