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Showing 8 results for Salari
Sex Differences In Duration Of Pre-hospital Delay In Patients With Acute Myocardial Infarction
Maryam Momeni , Arsalan Salari, Atefeh Ghanbari, Maryam Shakiba ,
Volume 7, Issue 2 (7-2013)
Abstract

Background and Aim: Pre-hospital delay is an important cause of increasing mortality in acute myocardial Infarction. There are conflicting data regarding the relationship between sex and pre-hospital delay for patients with acute myocardial Infarction. The aim of the present study was to determine the relationship between pre-hospital delay and sex.

Materials and Methods: This cross-sectional survey was conducted on 162 consecutive patients with acute myocardial Infarction admitted to Cardiac Care Unit (CCU) in Dr. Heshmat hospital in Rasht between May 2010 and September 2011. A convenient sampling method was used. All patients were interviewed within 7 days after admission by using a data collection form.

Results: Mean of pre-hospital delay for women was more than men. Majority of men had chest pain. The women often experienced different and non specific symptoms compared to men. Regression analysis showed no significant relationship between patients' characteristics and pre-hospital delay in women whilst, pre-hospital delay was significantly related to perceiving symptoms to be serious and interpreting symptoms to a cardiac origin in men.

Conclusion: Results of the current study suggest that pre-hospital delay for women was longer than men with acute myocardial Infarction as women often experienced no specific symptoms compared to men. Therefore, it recommended that clinicians educate public, particularly women, on acute myocardial infarction to enable them to recognize the signs and symptoms of acute myocardial infarction correctly and realize the benefits of early treatment.


Study Status Of Self-Care Behaviors And Gender Differences In Patients With Heart Failure
Fatemeh Moadab, Atefeh Ghanbari, Arsalan Salari , Ehsan Kazemnejad, Mitra Sadaghi Sabet , Ezzat Pariad,
Volume 8, Issue 3 (9-2014)
Abstract

  Background and Aim: Gender in performing self-care behaviors is a non- modifiable factor. Despite the belief that women are better than men in self-care, there is little evidence to challenge this view. The purpose of this study was to determine the status of self-care behaviors in men and women with heart failure.

  Materials and Methods: In this analytical cross-sectional study, 239 patients with heart failure were assessed. Data were collected by Self-Care Heart Failure Index, Cardiac Depression scale, and Mini Mental status Examination questionnaires . Data were analyzed using SPSS version 19 , descriptive and inferential statistics (Chi-Square, Mann-Whitney, Kruskal-Wallis , t-test and Logistic regression ) .

  Results: Mean score of self-care behaviors in men and women was 44/60±12/05 and 39/71 ± 9/88 from 100 total score, respectively. In the regression model, gender was not a significant predictor of self-care in any dimensions but, there was a significant relationship between sex and self-care confidence (OR=0/52, CI=0/27-1/03), which indicated that women as compared to men have less chance of self-care behaviors due to their status of self-confidence.

  Conclusion : In attention to the point that women had worse self-care behaviors in all dimensions, it is suggested more attention be paid in identifying patients at risk of poor self-care behaviors while planning care and treatment for them, since they are more vulnerable and have more emotional effects of disease and gender should be regarded as a predictive factor.

 


Detecting Of Preeclampsia By Expert System: A Case Study In Tehran University Of Medical Sciences Hospitals
Raheleh Salari, Mostafa Langarizadeh, Kambiz Bahaaddin Beigi, Ali Akramizadeh, Maryam Kashanian,
Volume 9, Issue 6 (3-2016)
Abstract

Background and Aim: Diagnosis of preeclampsia has an essential role in applying appropriate treatment plan for the patients. The aim of this study was to design an expert system in order to diagnos preeclampsia in order to assist the clinicians.

Materials and Methods: This was a cross-sectional study which resulted in developing a new system. The study population consisted of all patients admitted to three Maternity hospitals affliated to Tehran University of Medical Sciences (TUMS). Sample size included 215 medical records which were randomly selected. The results obtained were compared with the diagnosis from experts by kappa test using SPSS software.

Results: First of all, input parameters fuzzificated and entered into inference engine. Outputs were categorized in two groups as patients and healthy, with the final diagnosis and clinical explanation. The results obtained from system evaluation showed that accuracy, specificity and sensitivity of the system were 98.2 percent, 100 percent and 96.4 percent respectively.

Conclusion: Based on evaluation results, it could be concluded that fuzzy logic is an efficient method for designing of expert systems in the field of obstetrics and gynecology. Also, due to the similarity of the logic used in the proposed system with workflow and medical decision making, it will be accepted by the physicians.


Assessment of Differential Diagnosis of Bacterial Meningitis from other Types of Meningitis Using Fuzzy Logic and Neural Networks
Mostafa Langarizadeh, Esmat Khajehpour, Rahele Salari, Hassan Khajehpour,
Volume 10, Issue 5 (1-2017)
Abstract

Background and Aim: Bacterial meningitis detection is a complicated problem because of having several components in order to be diagnosed and distinguished from other types of meningitis. Fuzzy logic and neural network, frequently used in expert systems, are able to distinguish such diseases. The purpose of this paper is to compare Fuzzy logic and artificial neural networks for distinguishing bacterial meningitis from other types of meningitis.
Materials and Methods: In this study to detect and distinguish bacterial meningitis from other types of meningitis, in the first step 6 attributes were selected by infectious disease specialists. In the second step, systems were designed by Matlab software. The systems were evaluated by 26 records of meningitis patients, and results were analyzed by SPSS software.
Results: The evaluation showed that the accuracy, specificity and sensitivity of fuzzy method were 88%, 92% and 100% respectively and those of neural network methods were 92%, 94% and 88% respectively. The Kappa test result in fuzzy and neural network methods were 0.83 (p<0.001) and 0.83 (p<0.001). The areas under the ROC curves were 0.94 and 0.91 respectively.
Conclusion: The sensitivity, the Kappa test results and the areas under the ROC curve of the fuzzy logic method were better than neural network method. However the fuzzy logic method is more reliable to distinguish bacterial meningitis from other type of Meningitis, the evaluation result were obtained from 26 records of meningitis patient which were hospitalized in the same center leads to the study be still open.


Determining the Information Requirements of Electronic Prescribing and Medication Administration System for Cardiovascular Patients
Reza Safdari, Farnoosh Larti, Kamyar Fathi Salari, Saman Mohammadpour,
Volume 14, Issue 3 (Aug & Sep 2020)
Abstract
Background and Aim: Cardiovascular diseases and medication errors are among the leading causes of morbidity and mortality around the world. Electronic prescribing and Medication Administration(ePMA) systems can prevent medication errors to some extent. This study aimed to determine the information requirements of ePMA systems.
Materials and Methods: This descriptive study was conducted in Imam Khomeini Hospital of Tehran and School of Allied Medical Sciences affiliated to Tehran University of Medical Sciences (TUMS) in the summer of 2019 in two phases: literature review and survey-based questionnaire. Information items obtained from reviewing the texts of 100 articles were organized in three questionnaires. In the survey phase, questionnaires were distributed among physicians, nurses, and the experts of health information management(HIM) and medical informatics, using census sampling method. The reliability of the questionnaires was measured using Cronbach's coefficient alpha. Statistical analysis was done using SPSS.
Results: The findings showed that based on specialists’ point of view, patients' demographic information items and unique identifiers gained the highest average, above 4.7. Physicians agreed most with clinical information, including medication history and generic names. From the nurses’ point of view, the information items of the patients’ problems and the procedures performed and the types of drug doses obtained a complete average of 5.
Conclusion: The need for information items varies among different users of ePMA systems, but there may be items that are common for them. Future studies should further investigate financial and pharmaceutical information requirements based on the perspectives of other hospital pharmacy and accounting staff.

Design and Validation of an Assessment Tool to Determine the Level of Self-Care of Patients Affected by Diabetes Type II
Samira Goharinejad, Sharareh Rostam Niakan Kalhori, Raheleh Salari, Mehdi Ebrahimi,
Volume 15, Issue 5 (Dec 2021 & Jan 2022)
Abstract
Background and Aim: Diabetes Type II is a chronic metabolic disorder rising its prevalence worldwide. Self-care is the most important management strategy to control the disorder and its adverse effects. The aim of this study was to design and validate an assessment tool to determine the level of self-care of patients affected by Diabetes type II.
Materials and Methods: This study was a cross-sectional study. To conduct this study, based on reviewing the texts and reviewing the existing questionnaires, the proposed items were prepared and by eliminating and integrating similar items into a questionnaire in 4 areas related to diet, blood sugar monitoring, Physical activity, drug use was designed with 15 questions. Thirty patients with type 2 diabetes referred to the endocrinology clinic completed a questionnaire. The reliability of the questionnaire was assessed using Cronbach’s alpha and the validity of the questionnaire was assessed by content validity (CVR). Data were analyzed using SPSS software.
Results: The results showed that the mean and standard deviation of the age of the studied units was 52.4±12.51 years, of which 50% were female and the other 50% were male. 56% of them had type 2 diabetes for less than 5 years. Also, people with higher education had relatively better metabolic control in diabetes management and patients ‘answer to question 6 had the highest mean, which shows patients’ attention to blood sugar control. To determine the reliability of the questionnaire, Cronbach’s alpha coefficient for all questions was 0.773, with the omission of question 9, it was increased to 0.796. Only two validity questions were 0.66 and 0.16 which were excluded from the test. Pearson correlation coefficient was calculated for each question.
Conclusion: The results of this study showed that the questionnaire has the necessary validity and reliability. With this tool, appropriate advice can be provided to patients with type 2 diabetes in the field of self-care, including diet, medication, physical activity and blood sugar control to prevent the progression of the disease and its complications.

The Effects of Implementing Clinical Decision Support Systems on the Diagnosis, Treatment and Management of Cancers: A Systematic Review
Saman Mohammadpour, Reza Rabiei, Elham Shabahrami, Kamyar Fathisalari, Maryam Khakzad, Mostafa Langarizadeh,
Volume 16, Issue 2 (Jun 2022)
Abstract
Background and Aim: Cancer is the second leading cause of death in the world, which leads to the death of more than 10 million people in the world every year. Its early diagnosis, management and proper treatment play an important role in reducing complications and mortality. One of the support tools in early diagnosis, treatment and management of this disease are Clinical Decision Support System (CDSS), which are divided into two groups, rule-based and non-rule-based. Rule-based decision support systems are created based on clinical guidelines, while non-rule-based decision support systems use machine learning. In this research, the effects of decision support systems, rule-based and non-rule-based, on cancer diagnosis, treatment and management were measured.
Materials and Methods: The present study was conducted using a systematic review method, which was conducted by searching the Web of Science, Scopus, IEEE and PubMED databases until 12/31/2021. After removing duplicates and evaluating the characteristics of the inclusion and exclusion criteria, studies related to the goal were selected. The selection of articles was based on the title, abstract and full text The data collection tool was the data extraction form, which included year of study, type of study, system of body, organ of body, the service provided by the decision support system, type of decision support system, effect, effect index and the score of effect index. Narrative synthesis were used for data analysis.
Results: Out of 768 articles, 16 articles related to the objectives of the study were identified. Studies were presented in two categories of clinical decision-support systems: Rule-based and non-Rule based. The effects evaluated in the clinical decision support systems were Rule-based, dose adjustment, symptoms, adherence to treatment guidelines, care time, smoking, need for chemotherapy and pain management, all of which except pain management were significant and positive. The effects evaluated were in the category of non-Rule based clinical decision support systems, diagnostic and therapeutic decisions, controlling neutropenia, all of which were significant and positive except controlling neutropenia.
Conclusion: The results obtained for the effectiveness of both Rule-based and non-Rule-based decision support systems indicated different benefits of these two categories. Therefore, using their combination in the field of cancer can bring very useful results.

Oncolytics, Cancer-Fighting Viruses from Past to Future: A Literature Review
Seyedeh Nasim Mirbahari, Sina Salari, Shabnam Shahrokh, Mohammadreza Zali, Mehdi Totonchi,
Volume 18, Issue 1 (3-2024)
Abstract
Background and Aim: Oncolytic viruses, as novel and advanced tools in the field of treating various types of cancer, have played a very important role in medical developments. The term “oncolytic” refers to the ability of these viruses to destroy and damage cancer cells while preserving the surrounding healthy cells.
Materials and Methods: To conduct this study, a total of 270 initial results were collected through searching in the PubMed, Scopus, and Google Scholar databases from 2012 to 2024. The primary researcher reviewed 68 relevant articles, extracted and summarized the contents, and finally compiled the findings.
Results: The findings from this review study demonstrate that cancer cells possess distinct characteristics that differentiate them from normal cells, including continuous growth signaling, resistance to anti-growth signaling, evasion of apoptosis, increased angiogenesis, and invasion into other body parts. Oncolytic viruses utilize these distinctive features to selectively target and infect cancer cells. Most oncolytic viruses directly eliminate host tumor cells, resulting in viral replication and induction of host antiviral responses. Moreover, these viruses can destroy cancer cells through the production of specific proteins. The cytotoxic potential of oncolytic viruses depends on viral type, genetic manipulation, optimal virus dosage for injection, natural and induced viral tropism, and cancer cell sensitivity to various forms of cell death. The mechanism driving the selective replication of oncolytic viruses in cancer cells likely relates to defects in signaling pathways specific to tumor cells. Phase III clinical trials have demonstrated significant improvements in the treatment outcomes of various cancers, including head and neck cancer, melanoma, glioblastoma, and bladder cancer, through the use of H101 (Oncorine), T-Vec, ECHO-7, and Teserpaturev (Delytact) viruses.
Conclusion: Oncolytic viruses are constructed from various types of viruses and are currently being evaluated in laboratory, preclinical, and clinical stages. The use of these viruses for the treatment of cancer as a new and targeted approach has been proposed, which requires further investigation and achievement of more precise mechanisms for their better performance.

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