Nocturnal peripheral vasoconstriction predicts the frequency of severe acute pain episodes in children with sickle cell disease-Reference-Cited by-同舟云学术

Nocturnal peripheral vasoconstriction predicts the frequency of severe acute pain episodes in children with sickle cell disease

Published:2020-10-23 Issue:1 Volume:96 Page:60-68
ISSN:0361-8609
Container-title:American Journal of Hematology
language:en
Short-container-title:Am J Hematol

Author:

Chalacheva Patjanaporn¹^ORCID,Ji Yunhua²,Rosen Carol L.³,DeBaun Michael R.⁴^ORCID,Khoo Michael C. K.²,Coates Thomas D.⁵^ORCID

Affiliation:

1. Department of Biomedical Engineering Carnegie Mellon University Pittsburgh Pennsylvania

2. Department of Biomedical Engineering University of Southern California Los Angeles California

3. Department of Pediatrics, Division of Pediatric Pulmonary Allergy/Immunology and Sleep, University Hospitals‐Cleveland Medical Center, Rainbow Babies and Children's Hospitals Cleveland Ohio

4. Division of Hematology‐Oncology, Department of Pediatrics Vanderbilt University School of Medicine Nashville Tennessee

5. Cancer and Blood Disease Institute, Children's Hospital Los Angeles, Department of Pediatrics University of Southern California Keck School of Medicine Los Angeles California

Funder

National Heart, Lung, and Blood Institute

National Institute of Biomedical Imaging and Bioengineering

Publisher

Wiley

Subject

Hematology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajh.26014

Reference32 articles.

1. Sickle cell anemia, a molecular disease;Pauling L;Science,1949

2. Kinetics and Mechanism of Deoxyhemoglobin S Gelation: A New Approach to Understanding Sickle Cell Disease

3. Autonomic nervous system involvement in sickle cell disease

4. Individuals with sickle cell disease have a significantly greater vasoconstriction response to thermal pain than controls and have significant vasoconstriction in response to anticipation of pain

5. Mental stress causes vasoconstriction in subjects with sickle cell disease and in normal controls

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3. Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach;Frontiers in Digital Health;2021-07-26