Showing 2 results for Masoodzadeh
S Peivandi, A Masoodzadeh, P Moaodi, S Babaei,
Volume 21, Issue 84 (Sep 2011)
Abstract
Background and purpose: Both the condition of infertility and its treatment cause stress in couples. ÏN-Vitro Fertilization (ÏVF) is a stressful procedure for patients. Ëvidence has shown that, in addition to biomedical factors (such as age and history of pregnancy), psychological factors are related to the outcome of ÏVF treatment.
Materials and methods: This cohort study was performed in 2008 on 70 (35 patients in case group and 35 patients in control group) candidates for ÏVF in two infertility clinics in Sari. Psychiatric assessment of patients was done before Gonadotropine injection for ÏVF by a psychiatrist with standard questionnaires. Ânxiety and depression questionnaires were completed by the patients. Based on the results drawn from the questionnaires, the control group was formed from individuals with no anxiety or depression or individuals suffering from mild anxiety and depression or either of them. Ïndividuals of the case group were suffering from moderate to severe anxiety and depression or either of them.
Results: Mean age of patients was 30.25 ± 4.63 year in case group and 30.37 ±4.67 year in control group. Pregnancy rate was 31.42% in case and 54.54% in control group. Relative risk for not becoming pregnant in individuals suffering from moderate to severe anxiety and depression was1.5 and attributable risk was 33%.
Çonclusion: Pregnancy rate in normal individuals or individuals suffering mild anxiety and depression or either of them, was higher. Than those suffering from moderate to severe depression.
Sanaz Salehpour, Abbas Masoodzadeh, Ali Reza Khalilian, Javad Setareh,
Volume 23, Issue 105 (10-2013)
Abstract
Background and purpose: EEG is used as a diagnostic tool in the diagnosis and prognosis of
disease spread. Among the psychiatric illnesses that can utilize EEG to measure response to treatment,
schizophrenia can be noted. Many investigations on the application of data EEG as a predictor of
treatment response in patients with schizophrenia refractory to clozapine has been done in order to resolve
contradictions and the limitations of previous studies. We studied the response to treatment with
clozapine, with the PANSS greater number of samples making them prior studies have examined.
Material & methods: In a cross-sectional study, 70 patients with schizophrenia resistant to
treatment with candidates receiving clozapine were selected from those EEG and PANSS baseline was
patient during twelve weeks of treatment with clozapine were again patients PANSS was used and EEG
raw patients with a good response to treatment and disease with poor response to treatment were
compared with each other. After data collection, descriptive statistics software SPSS17 square test was
used for the analysis of EEG data from a linear regression to examine the relationship between the
indicators of response to clozapine treatment.
Results: The results showed that there is coherence of EEG and the treatment response to
clozapine significant correlation was (P= 0.00). The results showed that there is presence of asymmetry in
EEG and the treatment response to clozapine significant correlation was (P= 0.8).
Conclusion: The EEG abnormalities include coherence of EEG in predicting response to
treatment in patients with treatment-resistant schizophrenia to clozapine which is effective.
