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Showing 3 results for Nikfarjam
Prevalence of truncal acne in high school students: a community based study
S.z.ghodsi, Z.n. Hatmi, A. Nikfarjam, F. Safar, P.noormohammadpoor, M. Asheghan,
Volume 64, Issue 3 (1 2006)
Abstract

Background: Acne is one of the most common skin diseases especially in adolescence. Different studies have reported unequal rates of facial acne prevalence in different countries and populations. Only a few cases of acne in the trunk area (back and chest) have been reported in literature. Although our clinical experience shows lower prevalence of truncal acne in comparison with facial acne, a community based study is needed to support this experience.

Methods: A total number of 1001 high school students, selected randomly from 5 out of 20 education-ministry subdivisions of Tehran, were included. In each area two high schools (one for boys and one for girls) with almost 100 students per high school were selected. Demographic data, family history and clinical findings were recorded in the questionnaires. Consensus Conference on Acne Classification was used for acne grading.

Results: One thousand one high school students, 503 girls and 498 boys ,were included. Prevalence of acne was 91.1% for face (95%CI: 83-99%), 93.4% in boys and 88.6% in girls. It was 53.4% for back (95%CI: 46-62.2%), 58.5% in boys and 36.9% in girls. Whereas for chest the prevalence was 36% (95%CI: 27-45%), 34.9% in boys and 36.9% in girls. Mean age of the students with truncal acne was 16.1 years where as 15.9 in others. This difference was significant (P<0.05). Positive family history was higher in students with truncal acne (P<0.001).

Conclusion: Truncal acne is less prevalent than facial acne. Acne on the back is significantly higher in boys than girls (P=0.002). Severe forms of acne in back may be more prevalent in boys. Positive family history can increase the risk of truncal acne.


Modeling trend of the immune system in HIV positive people treated with antiretroviral drugs, using Markov model
Sara Jambarsang , Alireza Akbarzadeh Baghban , Seyed Saeed Hashemi Nazari, Farid Zayeri , Ali Nikfarjam ,
Volume 73, Issue 9 (December 2015)
Abstract

Background: After primary infection, the number of CD4 T-cells decreases with disease progress. The patient’s immunological status could inform by The CD4 T-cell counts over the time. The main purpose of this study is to assess the trend of CD4 cell count in HIV+ patient that received Antiretroviral Therapy (ART) by using a multistate Markov model to estimate transition intensities and transition probabilities among various states.

Methods: A total of 122 HIV+ patients were included in this cohort study who are undergoing Antiretroviral Therapy treatment in the Iran AIDS center in Imam Khomeini Hospital in Tehran that inter during March 1995 to January 2005 and then fallow up to October 2014. All adults with at least two follow-up visits in addition to their pre-ART treatment were considered to be eligible for inclusion in the study. Continuous-time Markov processes are used to describe the evolution of a disease over different states. The mean sojourn time for each state was estimated by multi state Markov model.

Results: Sample included 22 (18%) female with a mean age of 43.32 (standard deviation 8.33) years and 100 (82%) male with a mean age of 45.28 (standard deviation 8.34) year. Age was divided in to two categories, 40 years old and lower than that 66 (54.1) patents and persons older than 40 years old 56 (45.9) patents. A total of 122 patients were included. 29 patients died during follow-up. One year transition probability for staying in state 1 of CD4 cell count was 51%. This probability for six year was 33%. The mean sojourn time for sate 4 was 21 month. The hazard ratio of transition from state 3 to state 4 was 4.4 in men related to women.

Conclusion: The use of antiretroviral therapy in the treatment of HIV infected persons reduce viral replication and increase in CD4 T lymphocyte count, and delay the progression of disease. This paper is shown the progression of this trend.


Comparative study of predictive ability of AIDS incidence in HIV positive people using Markov model according to two criteria, WHO and CDC in CD4 cell categorization
Mahsa Nazari, Farid Zayeri , Seyed Saeed Hashemi Nazari , Sara Jambarsang, Ali Nikfarjam , Alireza Akbarzadeh Baghban ,
Volume 77, Issue 2 (May 2019)
Abstract
Background: The Multi state Markov models have extensively application with categorization of laboratory marker of CD4 cells for evaluation of HIV disease progression. These models with different states result in different effects of covariates and prediction of HIV disease trend. The main purpose of this study was comparison of four and five states models with the three- state in order to select the model with better prediction ability of occurrence of HIV and finally death in HIV positive people.
Methods: A total of 305 HIV positive people were included in this cohort study in the Iran AIDS center in Imam Khomeini Hospital in Tehran that entered during March 1995 to January 2005 and then fallowed up to October 2014. The three continuous- time Markov models of three-, four- and five- state models were fitted to data to describe the evolution of a HIV disease Trend over different states.
For comparison of models, two criteria of modification of Akaike’s criterion (DRAIC) and likelihood cross-validation criterion (DRLCV) along with their 95% tracking interval was used. For fitting of these models and estimation of transition matrix and the hazard ratio of gender and treatment independent variables, the msm package of R project for statistical computing, version R 3.2.4 (www.r-project.org) was used.
Results: The results showed that the four- state model has more prediction ability than five-state model for evaluation of HIV disease Trend. In the four-state model, the progression hazard ratio to death for people who received highly active antiretroviral therapy (HAART) was 0.64 lower than who didn’t get this therapy. Moreover, the progression hazard ratio for men was 2.33 fold in comparison to women. The disease progression hazard ratio to death was 4.9 fold for men in comparison to women.
Conclusion: The (DRAIC) and (DRLCV) criterions showed that the four-state model has more predictive ability of the progression trend of HIV disease in comparison of five-state model.

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