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Showing 3 results for Moazen

H Pourgheysari , M Moazeni, A Ebrahimi, A Khodabakhshi,
Volume 14, Issue 4 (11-2015)
Abstract

Introduction: Heavy metals like Cadmium, Arsenic, Lead and Mercury are regarded as the most common heavy metals in the environment which can enter the food chain via various routs and may cause a great number of disorders within humans. Besides these heavy metals, such metals as Zinc and Copper can be dangerous in excess amounts. Edible salt, as one of the main additives, can contain these heavy metals. Hence, this study aimed to determine the contamination of heavy metals in edible salts of Isfahan market in 2011.

Method: In this descriptive cross-sectional study, 15 packets of refined table salt and 5 packets of unrefined ones were analyzed. Accuracy of the analysis was assured through repeated analysis of five samples. The heavy metal contents of salts were measured via a flameless Atomic Absorption Spectrophotometer (FAAS) and Inductively Coupled Plasma (ICP). Moreover, SPSS software was applied to analyze the data utilizing t-test.

Results: The mean concentrations of Cd, Pb, As, Hg, Cu and Zn in the refined table salt were 0.15, 0.57, 0.69, 0.061, and 0.87µg/g, whereas their mean concentrations were reported 6.34, 0.16, 0.61, 0.63, 0.058, 0.86 and 7.53 µg/g, respectively in the unrefined salt.

Conclusions: The study findings demonstrated that Arsenic and Mercury concentrations mean were reported higher than the standard in the available salt samples, whereas the concentrations of other heavy metals were observed lower than this extent in the refined and unrefined salts. Furthermore, no significant difference was observed between mean concentrations of heavy metals in refined and unrefined edible salts. The estimated amount of provisional tolerable weekly intake (PTWI) of these heavy metals was observed below the amount indicated by the guideline values. However, utilizing suitable methods is necessitated in order to  remove the mentioned pollutants of edible salt.


Mohsen Askarishahi, Homa Moazen, Ali Akhavan, Fariba Binesh, Hossein Falahzadeh,
Volume 16, Issue 1 (5-2017)
Abstract

Abstract Background : The aim of this study is to determine of risk factors in patients with brain metastases, and prognostic factors affecting survival of patients by using the Cox proportional hazards model. Methods : This descriptive - analytic retrospective study was performed on 197 patients with brain metastases who Referred to Shahid Ramezanzadeh Radiation Center, Yazd, Iran. Several risk factors in This patients were analyzed by the Cox model. Survival times were estimated by Kaplan - Meier and significant difference between the survival distributions of sub groups were compared with the log-rank test. The data were analyzed by R and SPSS softwares. Results : The Kaplan-Meier estimate of patients overall survival were 27% at 12 months and 12% at 24 months. by the log - rank test we founded that there was significant difference between the patients survival in subgroups of variables, such as: age at diagnosis, outside brain diseases (primary tumor), type of treatment, response to radiotherapy and re-radiation therapy (P<0.05). Cox model analysis indicated that the survival of patients with brain metastases influenced by the outside brain diseases (primary tumor) and response to radiotherapy variables. Conclusion : According to this result, control of the primary tumor and appropriate by radiation therapy seems to be effective to increase patients Lifetime. Also, it is more appropriate to use the Cox model in medical studies because of its easy for interpretation and not limited to use the type of covariates.


Seyed Yaser Ghelmani, Hossein Soleymani Salehabadi, Homa Moazen, Hossein Nazmiah, Tahere Fallah Tafti, Azam Kabirzadeh, Somayeh Gholami,
Volume 21, Issue 2 (8-2022)
Abstract

Introduction: Following the epidemic crisis and the outbreak of Coronavirus 2019 (Covid-19) in Iran and other provinces, the statistics of the patients showed that Yazd is among the top few provinces in the country in terms of the prevalence and incidence of this deadly disease. Therefore, this study aims to investigate the risk factors related to the life status of patients with coronavirus.
Methods: In this cross-sectional analytical study, demographic, clinical, and biochemical information of 932 patients who were infected with COVID-19 from May 2018 to March  2019 and were hospitalized in Shahid Sadoughi Hospital in Yazd were examined. Information was recorded through patients’ records or telephone calls. Data analysis was performed by independent t-test, Mann-Whitney, Chi-square, and logistic regression using SPSS-22 software.
Results: Based on the results 57.9% (N=540) of patients were male and the mean age of all patients was 53.33 (19 ± 0.15) years, and also 9.6% (N=82) of patients died. The risk of death for patients hospitalized in the intensive care unit (ICU) was 75 times higher than that of patients who were hospitalized in general wards. Also, the risk of death for patients with a history of cancer was 12 times higher than other patients. The risk factors associated with mortality were identified by multivariate logistic regression model, which included increasing age, having shortness of breath, history of cancer, hospitalization in the ICU, increased white blood cell count, and sodium deficiency.
Conclusion: In order to reduce the mortality of patients with COVID-19, it is necessary for physicians to prioritize the treatment of elderly patients with underlying diseases, such as cancer and shortness of breath in order to improve their clinical condition.





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