فهرست مطالب afsaneh fendereski

 One of the main limitations of using compost is the possibility of heavy metals with high concentrations. Unlike organic contaminants, these elements resist decomposition by microorganisms and, when present at elevated levels, pose a toxicity risk to soil, plants, aquatic ecosystems, and human health.

 This study was a descriptive cross-sectional study conducted in 2021-2022w. Samples were collected from three compost factories in Mazandaran (Babol, Behshahr, and Tonekabon) using random sampling methods and prepared according to the acid digestion method (National Standard Institute 5615). The concentration of heavy metals in the samples was measured using an ICP-OES.

 The average concentration of arsenic, zinc, lead, cadmium, cobalt, chromium, copper, and nickel in the analyzed samples were 1.38±3.47, 490±151.5, 74±12, 2.56±0.65, 4.5±1.46, 31.72±16.47, 186.11±49.9, 22.72±4.2 mg/kg dry weight of compost, respectively. The average concentration of heavy metals in different cities was compared using the Kruskal-Wallis test, based on which the concentration of heavy metals in none of the cities was significantly different from each other (p>0.05).

 The concentration of heavy metals in the investigated compost samples was lower than the limits specified in both domestic and international standards. Therefore, the final product of the examined compost factories meets the health standards for heavy metals and is safe for use in environmental applications.

Despite recent efforts to identify microplastics in the aquatic environment worldwide, identifying the various sources of its release remains a challenging task. Understanding and identifying the different sources of aquatic pollution and the processes affecting them is essential for a comprehensive description of the quality of water resources. The aim of this study is therefore to introduce statistical methods to determine the sources of microplastics in aquatic environments.

This review article first identifies the pathways of microplastic entry into the aquatic environment, followed by an examination of four commonly used multivariate statistical methods Principal Component Analysis (PCA), Cluster Analysis (CA), Hierarchical Cluster Analysis (HCA) and Positive Matrix Factorization (PMF).

Multivariate statistical analysis can be used to determine different variables such as size, shape, color, and density of microplastics. It can also determine the sources of microplastics (domestic wastewater, industrial effluents, agricultural activities, surface runoff, air currents, etc.). It also identifies which variables have the greatest impact on pollution and suggests the best solutions to reduce pollution.

the study of pollution based on multivariate statistical analysis can provide important information on the main sources of microplastic pollution and the relative contribution of different sources in the aquatic environment, which can help to improve environmental management and reduce pollution.

Acute Promyelocytic Leukemia (APL) is a medical emergency with potentially fatal complications. APL primarily results from a chromosomal translocation (t(15;17)(q22;q21)), leading to the formation of the PML-RARA fusion gene with three possible isoforms. This study aims to investigate the characteristics of Iranian APL patients, the distribution of PML-RARA isoforms, and survival analysis.

We included 145 consecutive eligible patients in this study. Data were collected through archived documents and phone inquiries, following consent. Subsequently, we analyzed the data using SPSS software version 26.0.

We examined 75 men and 70 women, with a mean age of 34 years (range: 2-78 years). Besides t(15;17) (q22;q21), 45.6% had other chromosomal abnormalities. The prevalence of bcr1 and bcr3 isoforms was 73% and 27%, respectively. bcr3 correlated with higher white blood cell (WBC) counts, additional chromosomal abnormalities, and faster Complete Hematologic Response (CHR). Early death occurred in approximately 36% of all patients. The mean overall survival time was 73.5 months, with 120-month survival rates of 53.8% for all patients and 83.9% for those who achieved CHR. Univariate analysis identified old age, relapse, lower platelet (PLT) counts, higher WBC counts, and leukocytosis as survival risk factors. However, in multivariate analysis, only old age and higher WBC counts were identified as adverse prognostic factors.

In Iranian APL patients, bcr1 predominates, while bcr3 correlates with higher WBC counts, high-risk categorization, additional chromosomal abnormalities, and faster CHR. Survival is negatively impacted by old age, relapse, lower PLT counts, higher WBC counts, and leukocytosis.

With reducing the immune function of the pulmonary, smoking is considered a risk factor for contracting other infections with more severe outcomes. The present study investigates a meta-analysis of the association between smoking and the progression of COVID-19 infection in Iran.

The online databases of PubMed/MEDLINE and Web of Science were searched on August 23, 2022, with the following terms: (‘‘COVID-19’’ OR ‘‘SARS-CoV-2’’ OR ‘‘Coronavirus’’), AND (‘‘smoking’’ OR ‘‘smoker*’’), AND (“Iran”). In this review, we included the studies with molecular-confirmed cases of COVID-19 and the outcome of death. The Mantel-Hensel meta-analysis method with random effects was used to investigate the relationship in the data.

We identified 8 papers with a total of 9199 COVID-19 patients, of whom 1861(20.2%) had the outcome of death, and 1105(12%) had a history of smoking. A total of 274 patients with a history of smoking (24.7%) were dead. The meta-analysis showed a significant association between smoking and death related to COVID-19 (odds ratio=1.22, 95% confidence interval [1.03-1.44], P=0.001). Therefore, the probability of death in COVID-19 patients with a history of smoking is about 22% higher than other people.

Smoking is a risk factor for the progression of COVID-19, with smokers having higher odds of COVID-19 progression than non-smokers.

Leukemia is one of the most common and deadly diseases which is an important health problem. The aim of this study was to evaluate the survival of patients with acute lymphoblastic leukemia (ALL) and acute myeloblastic leukemia (AML) using the penalized splines model and comparing that with the Cox proportional hazards model.

This is a longitudinal survival research that used data from patients referred to Tehran Imam Khomeini Hospital between 2011 and 2014 and followed until 2016. Patients' information was collected through census, using a researcher-made checklist based on their files. Furthermore, the patients' latest status was obtained via phone calls. All medical records of the patients referred to Amir Al-Momenin hospital in Maragheh and diagnosed with prostate hyperplasia and underwent prostatectomy between 2014 and 2019 were examined taking a census. Kaplan-Meier nonparametric method was used to assess the 5-year survival rate, and Cox's semiparametric model was used to determine the risk factors in subgroups. Then, the penalized spline regression model was fitted using the R software version 4.2.2.

The average age of patients was 36.29±16.01 and 36.7% of the patients were men. Half of the patients died, and 12.7% experienced recurrence. Acute lymphoblastic leukemia affected 34.7% of the patients, whereas acute myeloblastic leukemia affected 63.3%. The 5-year-survival rates for patients with ALL and AML were 18% and 29%, respectively. Age, white blood cell count, platelet count, and hemoglobin levels were found to be significantly associated with patients' survival (P<0.05).

Leukemia is seen at young ages in Iran, so, early detection and treatment of the disease can play a critical role in improving the survival of patients.

Pregnancy is a critical period. A healthy lifestyle during pregnancy has profound direct and indirect effects on the long-term health of the mother, the fetus and the newborn. According to studies, healthy lifestyle education for pregnant mothers in Iran, including at the level of primary health care, is not in a favorable condition. Lack of training program updates for midwives and lack of documented comprehensive educational content are among the reasons. The present policy brief aimed at dealing with this health problem by implementing the best evidence in practice. We propose "delivering healthy lifestyle education to pregnant women by midwives according to the best evidence-based criteria" to the health policymakers in Iran Ministry of Health and medical sciences universities. In this regard, it is recommended to systematically train midwives in healthcare settings, integration of healthy lifestyle education to mothers and primary health care programs, including that in the electronic health records of pregnant women, and continuous monitoring of these activities could be of great benefit.

Breast cancer is the most common cancer among women. Today, with advancements in medical sciences, increasing the cure probability of patients as well as increasing survival time is an important goal of cancer treatment. Therefore, in this study, in addition to examining patients’ survival, we investigated the cure probability of breast cancer patients and its prognostic factors using the semiparametric mixture cure model.

 This is a retrospective cohort study of 1310 breast cancer patients admitted to Motamed Cancer Institute from 1995 to 2013 and followed up until 2018. The Kaplan-Meier curve and a semiparametric mixture cure model were fitted to data. In this model, patients were divided into two categories of cured and uncured, then the cure rate and the survival rate of uncured patients were calculated, and related factors were identified.

 Of the 1310 women with breast cancer in the study, 235 (18.1%) cases died and others were censored. Based on the Kaplan-Meier curve, the cure rate was 68%, and the last death case was observed about 12 years after diagnosis. Obesity, lymph node involvement, and mastectomy were identified as risk factors for patients' long-term survival, while larger tumor size, more advanced stage of the disease, and lack of chemotherapy were risk factors for short-term survival.

 These findings indicate that many prognostic factors for breast cancer are not only important when choosing a treatment strategy in the short term, but they also play an important role in the long-term to identifying high-risk patients and those who still need further follow-up.

Anxiety disorders are the most common groups of mental disorders. Based on the world health organization reports 7.4% of global DALYs are caused by disorders, which are in the mental and behavioral category. One of the problems of these patients is the length of stay in the hospital, which can be studied in various aspects.
The objective of this study was to determine the effects of related factors on the duration of hospitalization in patients with anxiety disorders.
A historical cohort of patients placed in the psychiatric center in Sari, northern Iran, were studied from April 2007 to March 2012. Statistical analysis using Weibull regression and stata.12 was performed at the significant level of 0.05.
A total of 427 persons were studied. The median length of hospital stay was 17 (inter quartile range 10 - 29 day). The results showed age was associated with the length of stay (P = 0.036). Also, patients with previous hospitalization and patients who received electro convulsive therapy and occupational therapy had a longer stay in the hospital (P The overall results showed that the type of treatment is effective in reducing the duration of hospitalization. Aging has a subtractive effect on the length of hospital stay. It seems that additional research concerning mental health care services may be required to identify more factors affecting the length of stay.

Aim: This study aims to predict survival rate of gastric cancer patients and identify the effective factors related to it, using artificial neural network model.
Gastric cancer is the most deadly disease in north and northeast provinces of Iran. A total of 430 patients with gastric cancer who referred to Baghban clinic in Sari, from early November 2006 to late October 2013 were followed.
A historical cohort of patients who referred to Baghban Clinic, the cancer research center of Mazandaran University of Medical Sciences in Sari, from early November 2006 to late October 2013 was studied. Three groups of variables (demographic, biological and socio-economic) were studied. Survival rate and effective factors on survival time were calculated using Kaplan-Meier methods and artificial neural networks and the best network structure were chosen using the mean square error and ROC curve. All analyses were performed using SPSS v.18.0 and the level of significance was selected ? 0.05.
In this research, the median survival time was 19±2.04 months. The 1 to 5-year survival rates for patients were 0.64, 0.44, 0.34, 0.24 and 0.19, respectively. The percentage of right predictions of the selected network and the area under the ROC curve were 92% and 94%, respectively. According to the results, the type of treatment, metastasis, stage of disease, histology grade, histology type and the age of diagnosis were effective factors on survival period.
the 5 years survival rate of gastric cancer patients in Mazandaran is lower than other provinces which could be due to the delay in diagnosis or patient’s referral. Therefore, the use of screening methods and early diagnosis could be influential for improving survival rate of these patients.

Background and Disasters and traffic accidents as the leading causes of disability and death throughout the world are the most significant health problems which have usually been predictable and, therefore, possible to prevent. The present study, as the first attempt, was conducted to calculate the burden of life years lost due to early death caused by traffic accidents in Mazandaran Province.
The current study was cross-sectional, and the data was collected from the center of Mazandaran Legal Medicine. The number of years of life lost due to premature death was calculated by using the instructions GBD2010 age and gender composition of the province was taken in the last census in 2012 from the Statistical Center. Then the SPSS Software was used to key in all the collected information in order to perform the analysis.
Of the total population in 2015, 729 deaths were recorded due to car accidents with 77.9 percent of them being male. Mean age was 43.07±21.18 and 44.67±23.34 in women. The number of years of life lost due to premature death was 24972.7 years in men, 6965.3 years in women, and the total of two genders was 31938 years (10.6 years per thousand people) which were calculated, and it was the highest in the age group ranging from 20 to 24 years old.
According to the high rate of deaths from traffic accidents and damages resulted from it, and in order to reduce these losses, it is necessary to take appropriate preventive measures.