Showing 15 results for Ghaffari
A Amini, Sh Ghaffari, Y Mortazavi, N Eynolahi, K Alimoghadam, Sh Rostami, Y Gahani, A Ghavamzadeh,
Volume 2, Issue 1 (2 2008)
Abstract
Background and Aim: Chronic Myelogenous Leukemia (CML) is a clonal hematopoietic stem cell disorder characterized by a translocation between chromosome 9 and 22 called Philadelphia Chromosome. Telomerase- essential enzyme that adds telomeric repeats into the telomeres- maintains integrity of chromosomal ends. Most normal somatic cells do not express hTERT (catalytic subunit of telomerase) but most neoplasia and cancer cells express it. In this study we evaluated the hTERT expression in patients with CML at different phases of the disease.
Materials and Methods: In this cross sectional study, 73 samples of 45 patients with CML were studied. Twenty six of samples were taken from patients in chronic phase before therapy and 26 samples three month after therapy. Nine samples were taken in accelerated phase and 12 in blastic phase. hTERT expression was studied by RT-PCR and the results were analyzed using SPSS 15.
Results: Thirty three (73%) of patients were male and 12 (23%) were female. Patients were divided into three age groups 17-29, 30-40 and 41-75 years. Of 73 samples, 43 samples (58.9%) were positive for hTERT and 30 samples (41.1%) were negative for this gene. In chronic phase (before therapy) 69.2% of the samples were PCR positive, but after therapy only 38.5% of samples were PCR positive. In accelerated and blastic phases, 55.6% and 83.3% of samples were PCR positive respectively. The hTERT positivity was differently significant (p<0.05) among different phases of the disease.
Conclusion: Significant difference between hTERT expression in different phases of CML disease can be used as a useful molecular marker for fallowing up, prognosis and disease progression after treatment
Sh Mousavi, Y Mortazavi, H Dargahi, N Shayan, K Alimoghadam, A Ghavamzadeh, M Iravani, Sa Mousavi, Sh Ghaffari,
Volume 2, Issue 1 (2 2008)
Abstract
Background & Aim : Chronic myeloid leukemia (CML) is a disorder of pluripotential hematopoietic stem cell that is as a myeloproliferative disease and occurs in about 15 percent of all leukemia. Two cell cycle regulatory proteins that function as tumor suppressor are P16INK4A and P14ARF. The origin of these two proteins is a human INK4A-ARF gene locus that located on chromosome 9p21. P16INK4A control retinoblastoma (Rb) and P14ARF control with p53 thought negative feedback. The purposes of this study, this was that whether these genes are preferable use as a factor in prognosis and progression of disease.
Materials and Methods: This research was a Cross sectional study. The expression of p16INK4A and p14ARF mRNA in about 73 peripheral bloods (PB) Samples were collected from 45 CML patients at different phases of disease were assayed by reverse transcriptase polymerase chain reaction (RT-PCR). 26 samples were from patients at chronic phase before any treatment, 26 samples 3 month after treatment with imatinib, 9 samples in accelerated phase and 12 samples in Blastic phase.
Results. From 45 patients with CML, 33 patients (73%) were men and 12 patients (27%) were women. About 26 samples (35%) were p16INK4A positive and 55 samples (75%) were p14ARF RT-PCR positive. This expression of the two genes at different phases of disease were not statistically significant (p>0.05).
Conclusion: High percentage of the CML patients expressed P14ARF and P16INK4A genes. The expression of these gene at different phases of disease (diagnosis, accelerate, and Blastic phases) was not statistically significant even though, the expression of these genes was higher after the treatment. The increased expression of these genes was probably because of the Imatinib treatment.
F Nadali, Sh Ferdowsi, B Chardouli, Gr Togheh, N Einollahi, Sa Mousavi, K Alimoghaddam, A Ghavamzadeh, Sh Ghaffari,
Volume 2, Issue 3 (20 2008)
Abstract
Background and Aim : Myeloproliferative neoplasms are clonal and heterogeneous disorders of hematopoietic stem cells lead to increase of one or more cell lines in the blood. Recently, the acquired mutation JAK2 V617F has been described in the majority of patients with myeloproliferative neoplasms (MPNs).This mutation is characterized by a G to T transverse at nucleotide 1849 in exon 12 of the JAK2 gene, located on the chromosome 9p, leading to a substitution of valine to phenylalanine at amino acid position 617 in the JAK2 protein. The aim of this study was to assess the prevalence of JAK2 mutation in MPN patients.
Materials and Methods: In this experimental study we evaluated JAK2 mutation in 58 patients with MPNs by simple randomized sampling. The mutation was detected by ARMS-PCR in patients.
Results: The JAK2 V617F mutation was detected in 86.6% (26/30) of patients with polycythemia Vera, 46.6% (7/15) of patients with essential thrombocythemia and 61.5% (8/13) of patients with idiopathic myelofibrosis. Polycythemia Vera patients carrying the mutation displayed a higher levels of WBC (p=0.03) and 61.5% (16/26) of these patients were females. The differences in other groups were not significant. The mutation was confirmed by sequencing.
Conclusions: Our Results show similarity with other studies. Thus, ARMS-PCR can be applied as differential diagnosis test for detection of JAK2 mutation in suspected patients with MPNs.
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.
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.
Negar Khazan, Ardeshir Ghavamzadeh, Ana Boyajyan, Ghohar Mkrtchyan, Kamran Alimoghaddam, Seyed Hamidollah Ghaffari,
Volume 6, Issue 2 (14 2012)
Abstract
Background and Aim: Tumor dissemination via blood to distant organs is the main cause of death. Therefore, there is a critical need to set up sensitive methods for the early detection of circulating tumor cells(CTCs) and disseminated tumor cells(DTCs) in peripheral blood (PB) and bone marrow(BM) specimens of breast cancer patients. The aim of this research is to study the detection of micrometastasis using MUC2 in such patients.
Materials and Methods: In this study, PB and BM samples were collected from 50 breast cancer patients after operation and before adjuvant therapy. Mucin 2 (MUC2) was used as a tumor marker and its transcript level in the sample patients was analyzed using gene specific, quantitative real-time PCR reaction with SYBR Green technology. Samples from 20 healthy individuals were used as negative controls. HPRT was used as a reference gene.
Results: MUC2 mRNA was detected in 8 (16%) of PB and BM samples. MUC2 mRNA was not detected in PB samples of healthy individuals. The relapse rate among MUC2-positive patients was higher than MUC2-negative patients and it was statistically significant in BM (P<0.05).
Conclusion: This study shows that MUC2 can be a suitable marker for the detection of micrometastasis in breast cancer patients at early stages of cancer and that it may provide the basis for identifying women at risk of relapse.
Samad Ghanizadeh Vesali , Farhad Zaker, Ali Zekri , Ardeshir Ghavamzadeh, Kamran Alimoghaddam , Seyed Hamidollah Ghaffari,
Volume 7, Issue 3 (9-2013)
Abstract
Background and Aim: A goal of modern cancer research is to reach targeted therapies with drugs having fewer side effects. AZD1152 is a highly specific inhibitor of Aurora Kinase B, which leads to the programmed cell death by different mechanisms. The aim of this study was to evaluate the effects of AZD1152 on viability and metabolic activity of NB4 cells (APL derived cell line).
Materials and Methods: The cells were treated with various concentrations of AZD1152. After 24, 48 and 72h treatments, the metabolic activity and viability of inhibitor-treated NB4 cells were assessed using MTT and trypan blue dye exclusion assays, respectively. Data were analyzed by applying student’s t-test (Microsoft Excel).
Results: A t 25, 50 and 100 nM, AZD1152 reduced the metabolic activity by 9.2, 15.5 and 56.2% (after 24h), 10.3, 19.5 and 59.9% (after 48h), and 17.1, 28.4 and 64.8% (after 72h), respectively. Meanwhile, the percentage of viability was decreased to about 51, 45 and 40% (after 24h), 39, 36 and 30% (after 48h), and 34, 32 and 28% (after 72h), respectively.
Conclusion : According to the results, AZD1152 has substantial efficacy on APL cell line and may be applied in some cases, e. g., for patients who have relapse or who become refractory to the conventional chemotherapy. Further studies are needed to show the molecular mechanisms regulating effects of this anti-cancer agent.
Amir Ashkan Nasiripour, Pouran Raeissi, Farhad Ghaffari, Mohhamadreza Maleki, Mehrnush Jafari,
Volume 8, Issue 1 (5-2014)
Abstract
Background and Aim: Healthcare processes have caused many dangers to patients, and the
increase of medical errors is one of the most important consequences of such
processes. The present research is conducted to reduce medical errors through
presenting a model to control them.
Materials and Methods: In this mixed
(quantitative-qualitative) research, a conceptual model was assembled. Then
using the model and an interview, a questionnaire was made. The
interview and the researcher-made questionnaire were used to collect data.
The statistical population included the related people and the practitioners
involved in medical errors in Tehran University
of medical Sciences (TUMS)
hospitals. The sample consisted of 252 employees who were non-randomly selected
from those hospitals. Once the affecting factors were determined, the data were analyzed through factor analysis technique. The
gathered data were analyzed using descriptive and inferential statistics. Finally, the research model was
presented.
Results: The selected
individuals pointed out 9 factors controlling the medical
errors: culture, factors associated with patients, factors
related to providers, factors associated with errors,
structural factors, role of disclosure, error registration, individual factors
related to reporting, and organizational factors related to reporting. The 9
factors are the subdivisions of three main factors which account for 57/46% of the total variance of data. The
most decisive power is related to disclosure 0.737
and the least (0.053) pertains to structure.
Conclusion: Discloser of medical errors and their registration are factors which are
effective and essential in controlling medical errors in TUMS hospitals.
Mohammad Sabbaghi , Ahmad Kazemi , Saeed Hassani, Kamran Alimoghaddam, Ardeshir Ghavamzadeh, Seyed Hamidollah Ghaffari ,
Volume 8, Issue 4 (11-2014)
Abstract
Background and Aim: Acute promyelocytic leukemia (APL) is a distinct type of leukemia which is caused due to a blockage in myeloid cells normal maturation. The most important therapeutic strategies include the use of ATRA and Arsenic trioxide. Although ATRA is generally well tolerated, some patients develop Retinoic acid syndrome. Some of the symptoms of this syndrome are directly or indirectly related to elevated WBC counts. This study aims to determine the effect of ATRA and BIBR1532 combination on WBC count as a factor leading to the formation of ATRA syndrome.
Materials and Methods: To investigate the effect of BIBR1532 and ATRA combination, NB4 cells were cultured in the presence of 30μ M and 1 μM densities of the drugs. To study the effect of drugs on living cells count, proliferation activity, and metabolic activity of the cells, Trypan blue, Brdu and MTT tests were used, respectively.
Results: The results of Trypan blue, MTT and Brdu suggest that the combination of ATRA and BIBR1532 is more effective than ATRA alone on the reduction of viable cell count, metabolic activity and proliferation of leukemic cells in the first five days of treatment.
Conclusion: The results suggest that the combination of ATRA and BIBR1532 is probably more effective in the treatment of APL patients. It seems that such improvement in results is more obvious especially among the patients who are at a higher risk of ATRA syndrome.
Somayeh Shahri, Seyed Jamalledin Tabibi, Amir Ashkan Nasiripour , Farhad Ghaffari ,
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: An assessment framework is necessary in order to achieve the goals of health system in any country. The current study was done with the aim of measuring the effects of the aspects of performances on realization of health system goals.
Materials and Methods: This study was a cross-sectional, descriptive-analytic which was carried out during the years 2014-2015. Four hundred and nineteen experts among all experts in the area of health by snowball and cluster sampling participated in the study. Collecting data was performed through the questionnaire of Health System Perfomance Assessment. The questionnaire’s validity was confirmed using content validity method and its reliability was confirmed using Cronbach's alpha coefficient. Data was analyzed by means of Pearson correlation coefficient test and Regression using SPSS 22 software.
Results: The results of Pearson correlation coefficient test showed that the two component functions on equitable access to health services, the functions of protection against financial risks and actions on targets were equal to 0/827, 0/655 and 0/870. Respectively the results of the test showed 87% of the variance explained the aims of the functional components. Thus, we conclude that the functions of the financial risk for changes in standard deviation units and functions on equitable access to health services was as much as 0/655, and 0/827 predictable.
Conclusion: Since the aspects of performances influence the realization of health system goals, investigating the effects of performances on the health system goals can help policymakers and managers to improve the performance through identifying weaknesses and strengths, review of interventions and healthcare reform, and the management of the health system.
Shahram Sedghi, Somayeh Ghaffari Heshajin ,
Volume 11, Issue 4 (12-2017)
Abstract
Background and Aim: Indexing a country's scientific journals in international citation databases can lead to the promotion of its academic status and its participation in global knowledge production. This study aimed to assess the conformity of Iranian English-language medical journals’ citations with the objective criteria of journals in the selected databases.
Materials and Methods: This was a descriptive, evaluative research. The study population included 52 Iranian English-language medical journals that are not indexed in Web of Science, PubMed and Scopus databases and 465 articles in these issues, and about 11235 citations to the articles. The data have been collected by a checklist. For data analysis, Excel software was used.
Results: Some 88.5 percent of journals had a style for writing references; a style that has been observed by most of them. The rate of self-citation was low. Only 2.9 percent of citations were done in the year this study was performed. Journals with 87.2 percent had received the highest number of citations. The old citation time and the imbalance in the types of cited resources were the most important reasons of the weakness of the studied journals and of their not being indexed in the mentioned databases.
Conclusion: Providing valid styles for writing references and controlling the citations accurately should be put on the agenda of journals. The time of references must be newer, and there should be a relative balance in the types of referenced sources.
Neda Fazel Asl , Farhad Ghaffari, Amir Ashkan Nasiripour ,
Volume 11, Issue 5 (1-2018)
Abstract
Background and Aim: Over the recent years, patient discharge process time has been an important issue focused by so many officials. Therefore, the present study is aimed to identify the main factors with regard to the discharge process and selecting the best data-mining algorithm.
Materials and Methods: The population in question is all the patients discharged from Modarres Hospital during the first three months in the year 2014. Sampling wasn’t carried out but the number of observations has reached over 1060. Data was gathered via the researcher’s checklist while the relation between dependent and independent variants was examined and identified through T-test, Pearson Correlation Test and one-way analysis of variance. Data Mining Algorithms, in this study, were as follows: Neural Network, Support Vector Machine, Decision Tree, Simple Linear Regression.
Results: The average discharging process in the present study was 246.96 ± 3.25, which shows that among main factors concerned with discharging process, bedridden ward is considered as the most crucial. Also, according to the algorithms employed in this study, Decision Tree, with Correlation Value=0.30 and Root-Mean Square Error=103.29, was the best algorithm.
Conclusion: Results show that Data-Mining Algorithms can be employed to identify crucial factors regarding the whole discharging process and the most important factor during discharge process variable is hospitalization.
Saied Ghaffari , Sholeh Zakiani , Zohreh Rezaie ,
Volume 11, Issue 6 (3-2018)
Abstract
Background and Aim: In each organization, there is a debate about the use of IT. Human development is one of the factors influencing the efficiency and success of any organization. The present study aimed to investigate the effects of information technology on empowerment of staff working in Tehran University of Medical Sciences.
Materials and Methods: This study was descriptive-survey research and applied in terms of purpose. A total of 274 staff members from the Tehran University of Medical Sciences were surveyed by sampling according to the Krejcie-Morgan table from among 950 employees. The tools used in the Ardalan questionnaire were divided into two parts of IT, including 10 questions and a staff empowerment questionnaire containing 23 questions. Data were analyzed by SPSS 13 software, Kolmogorov-Smirnov test and one-sample T-test.
Results: The research findings showed that the use of information technology on five dimensions of job empowerment including competency, improvement of quality of work, increased decision-making power, increasing self-control, and reducing job stress have a significant effect.
Conclusion: The most important task of managers of universities is to improve the ability and job satisfaction of employees, holding in-service training courses in the field of computers and the Internet and encouraging employees to use more computers in their related activities.
Saied Ghaffari , Sholeh Zakiani ,
Volume 13, Issue 1 (Apr & May 2019)
Abstract
Background and Aim: The purpose of this study was to investigate the relationship between meta-cognitive beliefs with individual-social adaptability among Iran University of Medical Sciences librarians.
Materials and Methods: The research method was descriptive correlational. The statistical population of this study was 51 librarians of Iran University of Medical Sciences. The research tool was the California Individual and Social Adjustment Questionnaire and meta-cognitive beliefs of Wells and Cartwheel-Hatton. Data were analyzed by inferential and descriptive statistics(Pearson correlation coefficient).Data were analyzed by SPSS.
Results: The results showed that there was a negative correlation between individual adaptability with positive beliefs about worries, uncontrollability and risk, cognitive self-awareness.But with the variable of thought control, the relationship was positive and there was no relation to the cognitive reliability variable.The relationship between social adjustment with irregularity and risk variables, cognitive reliability, positive thoughts control.There was no relationship between social adaptability and positive beliefs about worries. Social adaptability was negatively related to cognitive self-awareness.
Conclusion: Increasing the variable of positive beliefs about worries reduces individual adaptability and undermines social adaptability. Increasing the uncontrollability and risk variable leads to a reduction in individual adaptability and increased social adaptability. Cognitive enhancement of librarians is ineffective in individual adaptation but has a positive impact on social adaptability. Increasing control of thoughts among librarians will increase their individual and social adaptability. Increasing cognitive self-awareness leads to a reduction in the individual and social adaptation of librarians.
Mohsen Rezaei, Nazanin Zahra Jafari, Hossein Ghaffarian, Masoud Khosravi Farmad3, Iman Zabbah, Parvaneh Dehghan,
Volume 13, Issue 5 (Dec & Jan 2020)
Abstract
Background and Aim: Timely diagnosis and treatment of abnormal thyroid function can reduce the mortality associated with this disease. However, lack of timely diagnosis will have irreversible complications for the patient. Using data mining techniques, the aim of this study is to determine the status of the thyroid gland in terms of normality, hyperthyroidism or hypothyroidism.
Materials and Methods: Using supervised and unsupervised methods after data preprocessing, predictive modeling was performed to classify thyroid disease. This is an analytical study and its dataset contains 215 independent records based on 5 continuous features retrieved from the UCI machine learning data reference.
Results: In supervised method, multilayer perception(MLP), learning vector quantization(LVQ), and fuzzy neural network(FNN) were used; and in unsupervised method, fuzzy clustering was employed. Besides, these precision figures(0.055, 0.274, 0.012 and 1.031) were obtained by root mean square error(RMSE) method, respectively.
Conclusion: Reducing the diagnosis error of thyroid disease was one of the goals of researchers. Using data mining techniques can help reduce this error. In this study, thyroid disease was diagnosed by different pattern recognition methods. The results show that the fuzzy neural network(FNN) has the least error rate and the highest accuracy.