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Showing 5 results for Haghighat
Relationship of serum magnesium level and supplemental magnesium dosage with post coronary artery bypass graft surgery arrhythmias
Najafi M, Haghighat B, Ahmadi H,
Volume 65, Issue 1 (5 2008)
Abstract
Background: Atrial and ventricular arrhythmias are among the most common complications after coronary artery bypass graft (CABG) surgery. Previous studies demonstrated that cardiopulmonary bypass itself results in reduced serum magnesium levels. In this study, we evaluated the effect of total blood magnesium level (TMG) on the prevention of perioperative arrhythmias with routine regimens of 2-4 grams supplemental magnesium (SMG). Methods: TMG was measured in patients who were scheduled for CABG on three occasions: just before anesthesia, just after entering the intensive care unit (ICU) after completion of the sugery, and on the first morning after the operation. Patients were evaluated for primary cardiac rhythm and other variables that could have an influence on the magnesium level, including serum creatinine, urine output in the operating room and diuretic therapy. The SMG dosage was also recorded in the operating room and ICU. Patients were then evaluated for the rate and type of arrhythmia for the next three days. Results: The mean TMG levels in 174 cases were 2.2 (0.5), 2.6 (0.6) and 2.4 (0.6) mg/dl for the three occasions, respectively. The mean SMG was 2.5 (1.2) grams. Of 164 patients, 51 (31%) developed the following post-operative arrhythmias: AF (7.3%), non-AF SVA (15.2%) and ventricular (16.5%). The mean serum creatinine level and urine output were 1.2 mg/dl and 1800 ml, respectively. Although there was a significant difference between the TMG levels on the three different occasions (P<0.001), all values were within normal range. When we stratified the TMG levels of the patients based on administered SMG, the Mentel-Haenszel test revealed no significant difference between the first and third TMG (P=0.6). Although the TMG levels were higher in arrhythmic patients compared to those without arrhythmia (2.25 vs. 2.14 mg/dl), both values were within the normal range and there was no significant difference between the two groups. Serum creatinine levels and urine volume were not related to TMG levels. Conclusion: This study indicates that routine magnesium administration has no significant effect on SMG levels. Also, serum creatinine and urine output are not determinant factors for SMG administration. There was no correlation between TMG levels and perioperative arrhythmia. We conclude that the routine regimen of magnesium administration has no effect on the incidence of perioperative arrhythmia, though it is necessary for maintaining normal magnesium levels.
A comparative immunohistochemical study of aplastic thymuses for lymphocytic, epithelial, proliferative and apoptotic indices
Mahjoub F, Haghighatnejad M, Movaheddi M,
Volume 65, Issue 10 (2 2008)
Abstract
Background: Immune deficiency is one of the major causes of morbidity and mortality in the modern world. Primary immunodeficiency comprises a wide range of disorders that mainly manifest in early childhood as devastating infections with opportunistic organisms. Thymic aplasia is found on autopsy of some patients afflicted with immune deficiency disorders, such as DiGeorge syndrome and severe combined immunodeficiency (SCID). After a thorough search of the literature, we found little information on the cellular characteristics of these thymuses. Our study aims to elucidate role of apoptosis in the pathogenesis of thymic aplasia and compare various lymphocytic and epithelial markers in normal and aplastic thymuses.

Methods: We selected 12 subjects who died of severe infections with aplastic thymus found on autopsy, and 11 control subjects who died of unrelated causes, such as congenital heart disease. The presence of several markers, including Bcl2, P53, lymphocytic markers, and CD68, was examined using immunohistochemical methods on paraffin-embedded thymus sections. Positively-stained cells were counted per 1000 cells and the results stated as percentage of positive cells.                       

Results: The mean age of the control group was between 7 days to 18 months (mean: 4.5 months). Parental consanguinity was present in 45.5% and 9.1% of the control and case groups, respectively however, this was not statistically significant. We found significantly lower expression of Bcl2 in the case group (p value: 0.038). Furthermore, expression of CD68 was significantly higher in the case group. Epithelial markers were significantly higher in case subjects, although CD8 expression was higher in the control group. The presence of other markers was not significantly different between the two groups.

Conclusions: Increase in apoptosis has a role in aplastic thymuses and prevention of apoptosis may halt this process. Also high CD68 expression denotes increased phagocytic activity in aplastic thymuses.
Evaluation of changes in blood sugar levels in a 14-years cohort study of pre-diabetic patients and its relation with diabetes
Parisa Zakeri, Masoud Amini, Ashraf Aminorroaya, Fahimeh Haghighatdoost, Awat Feizi,
Volume 79, Issue 9 (December 2021)
Abstract
Background: Examining the course of changes in predictive indicators of future diabetes, such as blood sugar in high-risk individuals including pre-diabetic patients, can provide valuable information about the incidence of diabetes in these individuals. This study aimed to classify people at risk (pre-diabetes) based on the course of changes in their blood sugar and blood lipid and to investigate the incidence of diabetes in these classes on a sample of patients who were referred to the Endocrine and Metabolism Research Center of Isfahan.
Methods: This cohort study was performed based on the information of the Isfahan Diabetes Prevention Plan (IDPs). This project was implemented from April 2004 to March 2018 in the clinics of the Endocrine and Metabolism Research Center of Isfahan. The subjects in this study include 1228 pre-diabetic patients who participated in this project. Demographic and clinical variables of patients including blood sugar and lipid-blood variables were obtained using a questionnaire and laboratory measurements. Also in this study, the number of clinical variables was recorded 3 times. Data analysis was performed using the latent class growth trees model in R software version v4. (R v4.1.0)
Results: The mean (standard deviation) age of participants was 44 (6.86) years. Subjects were classified into two classes of low-risk impaired blood sugar (n=1165) and high-risk impaired blood sugar (n=63) based on the trend of changes in blood sugar levels. Blood sugar levels were reported in the first class (104.28) and the second class (132.41).
Conclusion: In the present study, it was concluded that there is a significant relationship between the incidence of diabetes and the different classes formed based on the course of changes in blood sugar of at-risk individuals. Therefore, by classifying people at risk, the incidence of this disease can be predicted and thus prevented. Also,measures such as managing the blood sugar and lifestyle variables of pre-diabetic patients through nutrition counseling classes and regular periodic tests can be used to reduce the incidence of diabetes in the future is used in people with pre-diabetes who are at high risk for the disease.
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The prediction of lymphedema via the combination of the selected data mining algorithms
Anaram Yaghoobi Notash , Peiman Bayat, Shahpar Haghighat, Ali Yaghoobi Notash ,
Volume 79, Issue 11 (February 2022)
Abstract
Background: Breast cancer is the second leading cause of cancer death in women, after lung cancer. Due to the importance of predicting this disease, the use of data mining methods in medical research is more significant than before. Data mining algorithms can be a great help in preventing the development of lymphedema in patients. The aim Of this study was to create a diagnosis system that can predict the probability of lymphedema in breast cancer patients.
Methods: In the present study, the factors of lymphedema in 1117 patients with breast cancer have been collected. The likelihood of developing lymphedema is predicted using ensemble learning via 5 heterogeneous classification algorithms, feature selection and the genetic algorithm (The Two-layer Ensemble Feature Selection method). After collecting the data of patients with breast cancer from 2009 to 2018, and data preprocessing using the optimized ensemble learning algorithm and feature selection, we will examine the likelihood of developing lymphedema for the new patient. Finally, the factors affecting the disease have been extracted. Excluding the time of collecting statistical data, the period of the study was from September 2019 to February 2021. This study is performed at Seyed Khandan Rehabilitation Center, Tehran, Iran.
Results: The results of algorithms showed that the accuracy of the ensemble learning method with selected classification algorithms (SVM with RBF kernel) is 87% and the accuracy of the ensemble learning with feature selection method is 90%. According to the final evaluation of the proposed method, the most effective risk factors for lymphedema have been extracted.
Conclusion: Unfortunately, treatment and diagnosis are not without complications, and one of the most important of these complications in breast cancer is lymphedema in the upper extremities, which can affect the quality of life in patients. It is essential to have a method that can accurately suggest to a specialist whether a new patient will develop lymphedema in the future or how likely it is to develop it, using patient’s own clinical and demographic characteristics.
 

Frequency of cytomegalovirus in patients with chronic lymphocytic leukemia: a brief report
Farkhondeh Ajdari, Abolfazl Gheshlaghi , Aida Shakiba, Shirin Haghighat, Marzieh Jamalidoust, Jamal Sarvari ,
Volume 82, Issue 11 (February 2025)
Abstract
Background: The exact cause chronic lymphocytic leukemia (CLL) is still unknown. Cytomegalovirus (CMV) may play a role in the development of CLL, Therefore, the aim of this study is to investigate the frequency of CMV in patients with CLL and its relationship with blood and genetic factors.
Methods: This cross-sectional study was conducted between April 2020 and October 2022 on 40 CLL patients that referred to Dr. Daneshbod Pathobiology Laboratory (Shiraz, Iran). After taking blood and separating the buffy coat, viral DNA was extracted using a commercial DNA extraction kit and the CMV burden was measured using Real-time PCR assay. Moreover, a blood cell count test was performed. The amount of lactate dehydrogenase of the serum was measured using the kit. Also, common chromosomal disorders and CD38 marker related data were extracted from the file patients. SPSS software and Student's t-test were used to result analysis.
Results: The mean age of the patients was 62.25 ± 10.49 years. Of the 40 patients, 28 were men (70%). The average number of white blood cells was 46.06±1.49* 109, which was significantly higher in women than in men (p=0.031). Real-time PCR results showed that two patients (5%) have detectable amounts of CMV virus genome. The level of lactate dehydrogenase, CD38 marker, and the number of malignant cells in male and female patients did not differ significantly (p=0.362). Moreover, chromosomal abnormalities include deletions in 11q (ATM) and 17P (TP53), were observed in 3 (7.5%) and 4 (10%) patients, respectively.
Conclusion: Our finding indicated the CMV might not involve in the pathogenesis of CLL disease. More studies are recommended for clarify this finding.

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