Showing 7 results for Ebrahimi
A Khosravi, H Ebrahimi,
Volume 4, Issue 2 (20 2008)
Abstract
Background & Objectives: Trauma database in the form of a registry can provide necessary information for monitoring and modifying trauma care. These databases can be collected based on trauma and injury severity score (TRISS) method. The injury severity score (ISS) is based on an anatomic severity classification of injury called abbreviated injury scale (AIS). TRISS determines the probability of survival of patient from the ISS and revised trauma score (RTS). RTS is a physiological scoring system that consists of GCS, systolic blood pressure and respiratory rate. Our aim was to report trauma outcome based on TRISS method and compare the outcome with the registry data from major trauma outcome study (MTOS).
Methods: All trauma patients admitted between 1 April 2004 to 30 September 2005 with ISS> 10 were evaluated by TRISS method according to medical records, CT scan, sonography and surgical records. We used W and Z statistic to evaluate match of injury severity between our patients and MTOS database.
Results: From the 220 patients studied, there were 174 (79.1%) males and 46 (20.9%) females and their mean age was 30.2 and 40.2, respectively. Blunt injury accounted for 9.1% patients, and 66.4% were admitted in ICU. Traffic accidents were the main cause of trauma (80%). There were 47 deaths, but the expected and predicted number of deaths should have been 35 and 38 according to MTOS norms. The average probability of survival (Ps) was 82.7%. W statistic was calculated as -4 with a Z score of 0.11.
Conclusion: In our hospital, 4 deaths more than the MTOS database per 100 injured patients had occurred, and there was no other significant difference between our findings with the MTOS. In addition, the use of this model would be suitable for patient care in of pre-hospital, in-hospital and between hospital settings.
N Esmailnasab, A Afkhamzadeh, A Ebrahimi ,
Volume 6, Issue 1 (20 2010)
Abstract
Background & Objectives: According on surveys in Iran more than two million persons have non insulin diabetes mellitus. There are evidences that good glycemic control reduces the risk of diabetic complications. This study was designed to evaluat the glycemic control by using fasting blood sugar and hemoglobin A1C estimation and their relation with some variables.
Methods: This cross sectional study carried out on 411 people with type 2 diabetes who referred to Tawhid diabetes center in Sanandaj. Demographic and other variables were gathered by a deigned questionnaire. Univariate analysis and multivariate analysis (logistic regression) were used.
Results: In Univariate analysis FBS showed a significant relationship with education, job and referral style and HgA1c was statistically significant with sex, age, education, and job. But logistic regression showed other
Results: in final model FBS and HgA1c were associated with body mass index and referral style and HgA1c had association with only body mass index and referral style. Correlation confidence between FBS and glycated hemoglobin was (r = 0.54).
Conclusions: It is concluded that BMI and referral style have association with diabetes control.
Hr Ebrahimi Fakhar, S Zand,
Volume 6, Issue 4 (16 2011)
Abstract
Background & objectives: Head injuries are the most sever kind of injuries in accidents. It is an important factor of disability in society. Having information about present situation and its determinant factors is the first step of programming for head injury reduction. This survey aimed to have an epidemiological aspect of head injury in Arak.
Methods: Relevant informations about severity of the impact, causes, demographic information and treatment results were extracted from medical files between 2005-2006 years.
Results: Of total 1105 patients with head injury 25.8% were in their first decade of life and 11.8% were reported as sever head injury. The most common injuries (18.4%) caused by downfall from low height. Men had more head injured 64.7% compared with women. In the period of hospitalization 12.8% of moderate head injuries and 43.1of sever head injury caused to death.
Conclusions: It is concluded that applying and administration of the safety rules in the society as a compulsory rules and educating by mass media, are necessary. It should also be taken into account more effective hospital care for sever head injuries to reach better outcomes.
M Teimouri , E Ebrahimi, Sm Alavinia,
Volume 11, Issue 4 (Vol 11, No.4, Winter 2016 2016)
Abstract
Background and Objectives: Diabetic patients are always at risk of hypertension. In this paper, the main goal was to design a native cost sensitive model for the diagnosis of hypertension among diabetics considering the prior probabilities.
Methods: In this paper, we tried to design a cost sensitive model for the diagnosis of hypertension in diabetic patients, considering the distribution of the disease in the general population. Among the data mining algorithms, Decision Tree, Artificial Neural Network, K-Nearest Neighbors, Support Vector Machine, and Logistic Regression were used. The data set belonged to Azarbayjan-e-Sharqi, Iran.
Results: For people with diabetes, a systolic blood pressure more than 130 mm Hg increased the risk of hypertension. In the non-cost-sensitive scenario, Youden's index was around 68%. On the other hand, in the cost-sensitive scenario, the highest Youden's index (47.11%) was for Neural Network. However, in the cost-sensitive scenario, the value of the imposed cost was important, and Decision Tree and Logistic Regression show better performances.
Conclusion: When diagnosing a disease, the cost of miss-classifications and also prior probabilities are the most important factors rather than only minimizing the error of classification on the data set.
Am Mosadeghrad, A Pour Reza , N Abolhasan Beigi Galezan , Sh Shahebrahimi,
Volume 14, Issue 4 (Vol.14, No.4, 2019)
Abstract
Background and Objectives: Human Development Index (HDI) is an important indicator of a country’s development. On the other hand, mortality indicators are the most important indicators of the health of a society. This study aimed to examine the association between HDI and maternal, neonatal, infant, and under-five mortality rates in Iran between 2005 and 2016.
Methods: This longitudinal study was conducted using data collected from Iran Statistics Center, World Health Organization, and United Nations Development Program. SPSS software version 22 was used for data analysis. Pearson correlation test was applied to examine the correlation between HDI and mortality rates. Regression analysis was used to measure the effect of HDI on mortality rates.
Results: HDI increased from 0.690 in 2005 to 0.774 in 2016 (12% rise). Maternal, neonatal, infant, and under-five mortality rates decreased by 26, 41, 52, and 42% in 2016 compared to 2005, respectively. HDI had a significant indirect association with maternal (-0.973), neonatal (-0.983), infant (-0.739), and under-five mortality (-0.987). An increase of 0.01 in HDI reduced 1 maternal death per 100,000 births. An increase of 0.014, 0.009, and 0.008 in HDI decreased one neonatal, infant, and under-five death per 1000 births.
Conclusion: The results showed that increased HDI correlated with decreased mortality rates. Therefore, policy-makers should pay more attention to socio
S Ebrahimi Kebria , Ss Hashemi Nazari, Y Mdehrabi, B Nazparvar , A Shojaei, Sd Mirtorabi,
Volume 15, Issue 1 (Vol.15, No.1 2019)
Abstract
Background and Objectives: Suicide is one of the psychosocial problems in Lorestan Province due to its socio-cultural and economic structure. The aim of this study was to investigate the effect of age group, time period, and birth cohort on the suicide incidence in Lorestan Province during the 2006-2015.
Methods: In this study, to overcome the identifiability problem, the Carstensen approach and natural cubic smoothing character were used in age-period-cohort models (APC). Cohort effect was calculated as the relative rate from the 1984 reference cohort for men and 1987 cohort for women. The period effect in both sexes constrained to be relative to 1390 and to be 0 on average with 0 slope. The best APC model for both sexes was the models with "AC-P" parameter, 7 knots, and natural splines for men and B splines for women. All analyses were performed using the R software with Epi package.
Results: The age effect showed that the highest suicide incidence rate was seen in the elderly. Two strong birth cohort effects were observed, one increasing one in the 1980 cohort and one decreasing one in 1991 cohort. The most significant period effect was seen in men in 2011.
Conclusion: The effects of 1991 and 1980 birth cohorts could be due to the consequences of imposed war in Iran. The three economic phenomena, oil price change, increased divorce rate, and increased unemployment rate can be effective in the emergence of the period effect in year 2011.
H Gheibipour, K Etemad , S Khodakarim, A Sharhani, S Ebrahimi Kebria,
Volume 15, Issue 1 (Vol.15, No.1 2019)
Abstract
Background and Objectives: The prevalence of HBV infection among injection drug users (IDUs) is higher than the general population due to high-risk sexual behaviors and the needle sharing. The aim of this study was to determine the prevalence of HBV infection and its effective factors among IDUs of Kermanshah Province in 2016.
Methods: This ia descriptive-analytic study was performed in 606 male IDUs in Kermanshah Province in 2016. Data were collected through questionnaires and interviews. HBV was also evaluated through blood tests using the rapid test. Simple and multivariate logistic regression analyses were applied to investigate the factors affecting HBV infection. Data were analyzed using STATA-12 software.
Results: The prevalence of positivity HBV antibody was 3% (95% CI: 1.61- 4.32) among male IDUs. According to the results of unit-variable logistic regression analysis, the duration of drug injection (OR = 1.08, 95% CI: 1.02-1.15) and the number of daily injections (OR = 1.38, 95% CI: 1.05-1.81) were risk factors for HBsAg positivity but there were no significant associations in the multivariate regression model.
Conclusion: The prevalence of HBV is much higher among IDUs than in the general population. These populations are at risk for viral infections such as HBV; therefore, it is recommended to provide necessary education about the prevention methods as well as the necessary screening for them.
