Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach

Hyperglycemia (HG) during acute stroke has been associated with worse outcomes, including unfavourable functional outcomes. A better understanding and awareness of HG patterns and the potential risk factors associated with HG, predictors of poor outcomes among patients with HG during an acute ischem...

Full description

Saved in:

Bibliographic Details
Main Author:	Abdelhamid, Elhefnawy Marwa Elsaeed
Format:	Thesis
Language:	English
Published:	2023
Subjects:	RS1-441 Pharmacy and materia medica
Online Access:	http://eprints.usm.my/60095/1/ELHEFNAWY%20MARWA%20ELSAEED%20ABDELHAMID%20-%20TESIS%20cut.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-usm-ep.60095
record_format	uketd_dc
spelling	my-usm-ep.600952024-03-11T02:26:13Z Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach 2023-08 Abdelhamid, Elhefnawy Marwa Elsaeed RS1-441 Pharmacy and materia medica Hyperglycemia (HG) during acute stroke has been associated with worse outcomes, including unfavourable functional outcomes. A better understanding and awareness of HG patterns and the potential risk factors associated with HG, predictors of poor outcomes among patients with HG during an acute ischemic stroke (AIS), would help to guide acute stroke management and prevention of poor outcomes. Phase I in this thesis aimed to assess the predictors of HG during AIS, and predictors of unfavourable functional outcomes according to HG pattern among patients with HG during AIS. While phase II in this thesis aimed to quantify the rate of blood glucose (BG) changes over the first 72 hours of AIS among patients with HG by developing disease progression models using a pharmacometrics approach. From the acute state of ischemic stroke (IS), we are directing the study to the chronic phase of the IS. Recurrent stroke is another vital outcome parameter included in the goal of stroke management. Three time-to-event (TTE) models of recurrent IS after the index IS were developed in phase III to estimate the baseline hazard of recurrent IS during different time intervals. The data for phase I and phase II was extracted retrospectively from patients’ medical records. Data of patients with AIS admitted to Hospital Sultanah Nur Zahirah (HSNZ), Kuala Terengganu, Malaysia, from January 2017 to December 2020 were included in these phases. 2023-08 Thesis http://eprints.usm.my/60095/ http://eprints.usm.my/60095/1/ELHEFNAWY%20MARWA%20ELSAEED%20ABDELHAMID%20-%20TESIS%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Farmasi
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	RS1-441 Pharmacy and materia medica
spellingShingle	RS1-441 Pharmacy and materia medica Abdelhamid, Elhefnawy Marwa Elsaeed Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach
description	Hyperglycemia (HG) during acute stroke has been associated with worse outcomes, including unfavourable functional outcomes. A better understanding and awareness of HG patterns and the potential risk factors associated with HG, predictors of poor outcomes among patients with HG during an acute ischemic stroke (AIS), would help to guide acute stroke management and prevention of poor outcomes. Phase I in this thesis aimed to assess the predictors of HG during AIS, and predictors of unfavourable functional outcomes according to HG pattern among patients with HG during AIS. While phase II in this thesis aimed to quantify the rate of blood glucose (BG) changes over the first 72 hours of AIS among patients with HG by developing disease progression models using a pharmacometrics approach. From the acute state of ischemic stroke (IS), we are directing the study to the chronic phase of the IS. Recurrent stroke is another vital outcome parameter included in the goal of stroke management. Three time-to-event (TTE) models of recurrent IS after the index IS were developed in phase III to estimate the baseline hazard of recurrent IS during different time intervals. The data for phase I and phase II was extracted retrospectively from patients’ medical records. Data of patients with AIS admitted to Hospital Sultanah Nur Zahirah (HSNZ), Kuala Terengganu, Malaysia, from January 2017 to December 2020 were included in these phases.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Abdelhamid, Elhefnawy Marwa Elsaeed
author_facet	Abdelhamid, Elhefnawy Marwa Elsaeed
author_sort	Abdelhamid, Elhefnawy Marwa Elsaeed
title	Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach
title_short	Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach
title_full	Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach
title_fullStr	Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach
title_full_unstemmed	Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach
title_sort	time to event and disease progression modelling in ischemic stroke using pharmacometrics approach
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Farmasi
publishDate	2023
url	http://eprints.usm.my/60095/1/ELHEFNAWY%20MARWA%20ELSAEED%20ABDELHAMID%20-%20TESIS%20cut.pdf
_version_	1794024089342443520

Time To Event And Disease Progression Modelling In Ischemic Stroke Using Pharmacometrics Approach

Similar Items