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Haematologica. 2023;108(1):257-260.

Clinical impact of clonal hematopoiesis on severe COVID- 19 patients without canonical risk factors.

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제1저자 강창경, 최백규 · 교신저자 이지연, 문준호, 송경호, 정인경

PMID 36106393 PMC9827170 DOI 10.3324/haematol.2022.280621 IF 8.2 감염내과
소속 (13)
  1. Department of Internal Medicine, Seoul National University College of Medicine, Seoul 03080.
  2. Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141.
  3. Genome Opinion Inc., Seoul 04799.
  4. Department of Radiology, Seoul National University College of Medicine, Seoul 03080.
  5. Department of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam 13620.
  6. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul 04564.
  7. Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu 41944.
  8. Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141.
  9. Department of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Genome Opinion Inc., Seoul 04799.
  10. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul 04564. fulgeo@nmc.or.kr.
  11. Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu 41944. jhmoon@knu.ac.kr.
  12. Department of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam 13620. khsongmd@gmail.com.
  13. Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141. ijung@kaist.ac.kr.

Figures

Figure 1.
Figure 1. Clustering analysis for clinical characteristics of severe COVID-19. (A) Overview of the study design. (B) Clustered patients on the t-SNE plane based on clinical characteristics. Total 243 patients were projected to the t-SNE plane with the converted clinical data. Eight distinct clusters were identified using a M3C algorithm named S1 (n=30), S2 (n=43), S3 (n=24), S4 (n=12), S5 (n=21), M1 (n=52), M2 (n=27) and M3 (n=34). Each dot indicates individual patients with different shapes. Triangle, with clonal hematopoiesis of indeterminate potential (CHIP). Circle, without CHIP. (C) Boxplots showing 9 representative clinical characteristics between Mild and Severe groups. For the boxplots, the box represents the interquartile range (IQR) and the whiskers correspond to the highest and lowest points within 1.5 × IQR. Statistical significance was examined using an unpaired t-test (*adjusted P<0.05, **adjusted P<0.01 and ***adjusted P<0.001). The color indicates the identity of clusters and groups. Sev: Severe group. Mild: Mild group. (D) Bar plots showing fractions of patients with diabetes mellitus, hypertension, or CHIP for clusters S1 to S5. Color indicates the identity of a cluster.

그림 출처: PubMed Central 공개 논문 (PMC9827170)

그 밖의 정보
출판 형태
Letter, Research Support, Non-U.S. Gov't
저널
Haematologica · eISSN 1592-8721
전자 출판
2023-01-01
MeSH
Humans · Clonal Hematopoiesis* · COVID-19* · Risk Factors · Hematopoiesis · Mutation
참고문헌
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