Cardiovascular phenotypes predict clinical outcomes in sickle cell disease: An echocardiography‐based cluster analysis-Reference-Cited by-同舟云学术

Cardiovascular phenotypes predict clinical outcomes in sickle cell disease: An echocardiography‐based cluster analysis

Published:2021-07-14 Issue:9 Volume:96 Page:1166-1175
ISSN:0361-8609
Container-title:American Journal of Hematology
language:en
Short-container-title:Am J Hematol

Author:

d'Humières Thomas¹²³^ORCID,Savale Laurent⁴⁵⁶,Inamo Jocelyn⁷^ORCID,Deux Jean‐François²⁸,Deswarte Simon¹²,Lionnet Francois⁹,Loko Gylna¹⁰,Chantalat Christelle¹¹,Damy Thibaud¹²¹³,Guillet Henri³¹⁴,Pham Hung d'Alexandry d'Orengiani Anne Laure³,Galactéros Frédéric³¹⁴,Audureau Etienne¹⁵¹⁶,Maitre Bernard¹⁷¹⁸,Humbert Marc³¹⁷¹⁸,Derumeaux Geneviève¹²,Bartolucci Pablo³¹⁴

Affiliation:

1. Physiology Department, FHU SENEC, Henri Mondor Hospital, Assistance Publique Hôpitaux de Paris Créteil France

2. INSERM IMRB U955, Team 8, Université Paris Est (UPEC) Créteil France

3. Sickle Cell Referral Center – UMGGR, Plateforme d'expertise Maladies Rares Grand Paris Est, UPEC, FHU SENEC, CHU Henri Mondor APHP Créteil France

4. Department of Respiratory and Intensive Care Medicine, Pulmonary Hypertension National Referral Center Hôpital Bicêtre, Assistance Publique Hôpitaux de Paris Le Kremlin‐Bicêtre France

5. Université Paris‐Saclay, School of Medicine Le Kremlin‐Bicêtre France

6. INSERM UMR_S 999 Pulmonary Hypertension: Pathophysiology and Novel Therapies Hôpital Marie Lannelongue Le Plessis‐Robinson France

7. Department of Cardiology University of the French West Indies and Guiana Fort‐de‐France Martinique France

8. Department of Radiology FHU SENEC, Henri Mondor Hospital, Assistance Publique Hôpitaux de Paris Créteil France

9. Department of Internal Medicine Tenon Hospital, Assistance Publique Hôpitaux de Paris Paris France

10. Sickle Cell Center University of the French West Indies and Guiana Martinique France

11. Department of Hematology Bicêtre University Hospital, Assistance Publique Hôpitaux de Paris Kremlin‐Bicêtre France

12. Department of Cardiovascular Medicine FHU SENEC, Henri Mondor Hospital, Assistance Publique Hôpitaux de Paris Créteil France

13. INSERM IMRB U955, Team 8, Université Paris Est Créteil Créteil France

14. Department of Internal Medicine Henri‐Mondor University Hospital‐UPEC/Assistance Publique‐Hôpitaux de Paris Créteil France

15. Biostatistics Department Henri Mondor Hospital, Assistance Publique Hôpitaux de Paris Créteil France

16. CEpiA IMRB U955, FHU SENEC, Université Paris Est (UPEC) Créteil France

17. Pulmonary Unit FHU SENEC, Henri Mondor Hospital, Assistance Publique Hôpitaux de Paris Créteil France

18. INSERM IMRB U955, Université Paris Est (UPEC) Créteil France

Publisher

Wiley

Subject

Hematology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajh.26271

Reference41 articles.

1. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

2. A Hemodynamic Study of Pulmonary Hypertension in Sickle Cell Disease

3. Pulmonary Hypertension as a Risk Factor for Death in Patients with Sickle Cell Disease

4. Diastolic Dysfunction Is an Independent Risk Factor for Death in Patients With Sickle Cell Disease

5. Clinical phenotypes and outcomes of precapillary pulmonary hypertension of sickle cell disease

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Pulmonary hypertension in sickle cell disease;La Presse Médicale;2023-12

2. Determinants of ventricular arrhythmias in sickle cell anemia: toward better prevention of sudden cardiac death;Blood;2023-08-03

3. Nutritional Heart Disease and Cardiomyopathies;Journal of the American College of Cardiology;2023-01

4. Phenotypes of sickle cell intensive care admissions: an unsupervised machine learning approach in a single-center retrospective cohort;Annals of Hematology;2022-07-15

5. Chronic Lymphocytic Leukemia Progression Diagnosis with Intrinsic Cellular Patterns via Unsupervised Clustering;Cancers;2022-05-13