Sameh Al-Zubiedi

Dr. Sameh Al-Zubiedi


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 February 2014 in Molecular Diagnosis & Therapy
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Journal Article
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MSMohammad I. Saleh
Mohammad I. Saleh
SASameh Al-Zubiedi
Sameh Al-Zubiedi

25 February 2012 in Molecular Biology Reports
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Journal Article
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NHNancy Hakooz
Nancy Hakooz
SASameh Al-Zubiedi
Sameh Al-Zubiedi
AYAl-Motassem Yousef
Al-Motassem Yousef
TATawfiq Arafat
Tawfiq Arafat
RDRana Dajani
Rana Dajani
SISaid Ismail
Said Ismail

18 August 2022 in Expert Opinion on Drug Safety
Verified
Journal Article
Closed access
SASameh Al-Zubiedi
Sameh Al-Zubiedi
MYManal Mohammed Younus
Manal Mohammed Younus
SASara Al-Khalidi
Sara Al-Khalidi
MEMagnus Ekilo
Magnus Ekilo
TAThamir M Alshammari
Thamir M Alshammari
Pharmacovigilance (PV) activities were affected by COVID-19. Therefore, several health authorities around the world have issued guidelines and practices to ensure that PV activities are maintained ...

1 November 2017 in American Journal of Therapeutics
Verified
Journal Article
Closed access
SASameh Al-Zubiedi
Sameh Al-Zubiedi
MSMohammad I. Saleh
Mohammad I. Saleh
In this study, we aim to identify patient characteristics that predict severe thrombocytopenia induced by peginterferon alfa-2a in hepatitis C virus–infected patients. Demographic, clinical, and genetic data collected from patients with chronic hepatitis C virus infection (n = 232; age ≥18 years) who received peginterferon alfa-2a following eltrombopag treatment. Predictors of severe thrombocytopenia (platelet count below 50 GI/L) were identified using a 2-step approach: First, univariate analysis, using χ2 test for categorical variables and t test for continuous variables, was performed to identify possible predictors of severe thrombocytopenia (P < 0.05). Second, a logistic regression with backward stepwise selection was then performed using predictors identified in univariate analysis step to produce final model containing independent predictors at P < 0.05. Logistic model identified several predictors of severe thrombocytopenia. Increased spleen length and increased alkaline phosphatase levels increases the likelihood of severe thrombocytopenia. However, being Central/South Asian, increased neutrophils count and increased platelet baseline count decreases the probability of developing severe thrombocytopenia. In summary, we identified several patient characteristics that predict severe thrombocytopenia induced by peginterferon alfa-2a. Early selection of individuals with high risk of developing interferon-associated severe thrombocytopenia allows early intervention (such as eltrombopag treatment). Early intervention in turn minimizes the odds of developing severe thrombocytopenia and allows the continual of antiviral therapy before patient progress into liver decompensation.

14 June 2018 in European Journal of Drug Metabolism and Pharmacokinetics
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Journal Article
Closed access
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MSMohammad I. Saleh
Mohammad I. Saleh
SMSuhad Bani Melhim
Suhad Bani Melhim
HAHanguin M. Al-Ramadhani
Hanguin M. Al-Ramadhani
SASameh Al-Zubiedi
Sameh Al-Zubiedi

12 January 2024 in Preprints.org
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Preprint
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TSTariq N Shatnawi
Tariq N Shatnawi
OAOsama Alkouri
Osama Alkouri
Husam A. ALSalamatHusam A. ALSalamat
Husam A. ALSalamat
SASameh Al-Zubiedi
Sameh Al-Zubiedi
OQOmar Qaladi
Omar Qaladi
AHAyman J. Hammoudeh
Ayman J. Hammoudeh
(1) Background: Most patients with atrial fibrillation, on warfarin therapy, are at higher risk of morbidity and mortality. However, data targeting patients with atrial fibrillation, who take warfarin therapy, are limited in Jordan. This study aimed to provide in-depth analysis of a cohort of patients with atrial fibrillation on warfarin regarding patients’ characteristics, atrial fibrillation related symptoms, interventions, comorbidities, and 12-months outcomes. (2) Methods: The study enrolled 645 patients with atrial fibrillation, on warfarin, from 28 health settings across Jordan. Standardized clinical data form was utilized to collect data upon enrollment, at one, six, and 12 months post initial assessment. Descriptive statistics were used for the description of variables. (3) Results: The most commonly reported symptoms were palpitation (41.4%) shortness of breath (39.1%) and fatigue (26.2%). The prevalent comorbidities associated with atrial fibrillation were congestive heart failure (22.5%), valvular heart diseases (16.6%), and cerebral vascular accident (16.3%). The embolic (32.4%) and thrombotic cerebral vascular accident (16.2%) were the most common type. Major bleeding associated with hospitalization was the most frequent type of bleeding (10 out of 24). (4) Conclusions: Jordanians, using anticoagulation, need to be constantly monitored in terms of their characteristics, symptoms, and any potential complications, to ensure its optimal therapeutic dose and prevent any potential health complications.