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Massachusetts Institute of Technology

Mitigation of sickle cell crises using chaos-based analysis

Abstract

dc:description.abstract

Sickle-cell diseased persons suffer finite pain episodes (luring their lifetime, which are termed sickle cell crises. Using a sickle cell blood flow model, we mathematically demonstrate that the onset of a sickle cell crisis is chaotic. We further show that sickle cell crises may be mitigated by manipulating certain physiological parameters, namely the partial pressure of oxygen at 50% hemoglobin ([mathematical formula]%) and the kinetic dissociation rate of hemoglobin (kub) These physiological parameters control the chaotic nature of sickle cell crises and have the ability to transfer a person from a crisis state to a non-crisis state. We determine that sickle cell crises may only be mitigated within a critical time period (0 </- t </- 2.5hrs) after the onset of a sickle cell crisis. Based on our analysis, we classify three stages of a sickle cell crisis as weak chaos, strong chaos, and hyperchaos; which range from light to intense pain. Drugs may be developed, based on our analysis, to target these physiological parameters and mitigate sickle cell crises at its onset.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Atsaves, Louis
Advisor dc:contributor.advisor
  • Wesley Harris.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/115646
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/115646

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Atsaves, Louis. Mitigation of sickle cell crises using chaos-based analysis. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115646