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Showing 5 results for Mirzaee
Detection of viability and metabolic activity of NB4 cell line treated with AZT
H Mardani Valandani , R Mirzaee Khalilabadi , D Bashshash , N Einollahi , K Moghaddam , A Ghavamzade , Sh Ghaffari ,
Volume 4, Issue 2 (19 2010)
Abstract

Background and Aim: APL is a Prevalent leukemia that Approximately included 5-10% of patients with acute myeloblastic leukemia. ATRA and recently arsenic is used for treatment. ATRA leadsto resistance to treatment and arsenic is toxic in high doses.AZT induce cell death in different ways. The purpose of this study was Assessment of effect of AZT, a telomerase inhibitor, on NB4 cell line (APL cell line) to reduce toxic effect of high dose arsenic.

Materials and Methods: In this study, viability and metabolic activityof NB4 cells, treated by different concentrations of AZT(50,100,200 µM), was assessed by trypan blue dye method and MTT assay respectively.

Results: Treated cells with AZT=50,100,200µM showed decreased viability, both in dose-dependent and time-dependent through trypan blue dye method and decreased cell metabolic activity by MTT assay.

Discussion and Conclusion: Considering that AZT is able to induce apoptosis and decrease cell activity, it seems AZT is a suitable drug for inhibiting the growth of tumor cells.


Combination Effect Of Low Dose of Arsenic Trioxide And AZT On Viability And Metabolic Activity Of NB4 Cell Line
R Mirzaee Khalilabadi, H Mardani Valandani, D Bashshash, N Einollahi, K Ali Moghaddam, A Ghavamzadeh, Sh Ghaffari,
Volume 4, Issue 3 (20 2011)
Abstract

Background and Aim: Acute promyelocytic leukemia (APL) is a distinct subtype of acute myeloid leukemia. APL is characterized by a balanced reciprocal translocation between chromosomes 15 and 17, t(517)). Important therapeutic strategies for this disease are ATRA and Arsenic trioxide. To eliminate tumor cells with arsenic, high dose of arsenic is needed. But high dose is toxic for normal tissue. The purpose of this study is Assessment of effect of low dose of arsenic trioxide in combination with AZT on NB4 cell line (APL cell line) to reduce toxic effect of high dose arsenic.

Materials and Methods: In this study after NB4 cell line culture and proliferation, the cells treated with low dose of arsenic trioxide(0.5µM) in combination with different doses of AZT(50, 100, 200 µM) and then viability and metabolic activity was assessed by try pan blue and MTT assay respectively.

Results: Low dose of arsenic (0.5µm) alone and in combination with dose of 50µm of AZT has little effect on viability and metabolic activity but in combination with higher dose of AZT has significant effect on viability and metabolic activity and both viability and metabolic activity significantly reduced.

Conclusion: Different apoptosis- induced mechanisms cause apoptosis by arsenic and AZT. Since some of these mechanisms between AZT and arsenic are similar, so maybe these similar mechanisms cause synergic effect and significant reduction of viability and metabolic activity in combination of these two drugs.


A Systematic Review Of Decision Support Systems: Effects On Health Care
Reza Safdari, Mahtab Karami, Mahboobeh Mirzaee, Azin Rahimi ,
Volume 7, Issue 1 (5-2013)
Abstract

Background and Aim: Decision support systems(DSSs) refer to one of the types of information technology applications that can help clinicians to make right and timely decisions about patients. The aim of this study is to learn more about DSSs and their applications and effects on health care.

Materials and Methods: In this systematic review, articles which were published between 2000 and 2012, which were available as full texts through databases and search engines -- such as PubMED, EBSCO host research, Google scholar and Yahoo -- and which were also of clinical-trial type were examined besides, certain books in this area were used as primary sources.

Conclusion : The findings show that DSSs were applied in five areas in health care, which had a significant effect on improving the process of care and the performance of providers. These areas are as follows: disease progress management(15.15%), care and treatment(27.27%), medication(27.27%), evaluation(27.27%), and preventation(12.12%). In general, improvement can be seen in three areas: quality of care and patient safety, cost effectiveness, and provider’s level of knowledge.


Compilation of Patient Safety Dashboard Indicators
Reza Safdari, Mahboubeh Mirzaee, Mahni Mehdibagli,
Volume 12, Issue 2 (Jun & Jul 2018)
Abstract
Background and Aim: Since safety, performance and outcome indicators can improve the quality of care, patient safety indicators are required to monitor and provide safety in care. The aim of this study was to compile a set of patient safety indicators for monitoring in patient safety dashboard.
Materials and Methods: A set of patient safety indicators was collected by reviewing such indicators presented in Australia, England and OECD, ESQH, and AHRQ organizations. Then, the indicators were validated during Delphi process in two stages by the staff of patient safety and quality improvement unit of governmental hospitals and patient safety experts at Tehran University of Medical Sciences treatment deputy office. Data analysis was performed by SPSS version 13 and descriptive statistics.
Results: The present study was conducted on 62 patient safety indicators and eight main categories were classified as follows: safe hospital indicators, childbirth indicators, surgery-related indicators, mortality indicators, infection-control indicators, drug and prescription error indicators, falling indicator, and other special indicators.
Conclusion: Considering the identification of patient safety indicators in different dimensions, measuring the importance of these indicators and using them in the form of dashboard software in health centers will have a significant role in improving patient safety and the quality of health care.

Investigating the Association between Resilience and Demographic Information in Nurses Working in COVID-19 Special Wards
Afzal Shamsi, Musab Ghaderi, Sajjad Mirzaee,
Volume 19, Issue 3 (9-2025)
Abstract
Background and Aim: One of the risks of the nursing profession is psychosocial risks that affect their adaptation and, consequently, their resilience. This risk can have a deeper impact in certain situations such as the COVID-19 pandemic; Accordingly, the present study was conducted with the aim of “determining the relationship between resilience and demographic information in nurses working in COVID-19 special wards”.
Materials and Methods: The present study was a cross-sectional descriptive-analytical study and was conducted among 128 nurses working in the COVID-19 special wards of Ziaian Hospital in 2021. Participants were selected using convenience sampling based on inclusion criteria. Data were collected using demographic questionnaires and the Connor-Davidson Resilience Scale (CD-RISC). The scale’s score ranges from 0 to 100 (cutoff point 50), with scores above 50 indicating resilience. This questionnaire has been translated and validated by Iranian researchers. Its content validity was 0.82, and its reliability, based on Cronbach’s alpha, ranged from 0.74 to 0.9 for all subscales. The data were then analyzed using SPSS software with descriptive and inferential statistical tests. A P-value of less than 0.05 was considered statistically significant.
Results: The mean age of the participants was 35.59±7.22 years. The majority of nurses were male (61.7%) and married (89.8%). The mean resilience score among nurses was 37.25±5.68, which is considered very low given the cutoff point of 50. Results from linear regression showed that work experience (β=0.485, P=0.000), shift work (β=0.233, P=0.084), and employment type (β=0.189, P=0.021) had significant predictive power for overall resilience. This indicates that nurses with fixed shifts, more work experience, and permanent or contractual employment tend to have greater resilience. This analysis revealed that these variables, in total, predict 26% of the variance in the overall resilience variable.
Conclusion: Finally, the results of this study showed that the resilience of nurses working in COVID-19 special wards was low. Factors such as service history, work shift, and employment status were effective on their resilience. Accordingly, planning to improve the level of nurses’ resilience is necessary, especially in critical situations.

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