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Showing 2 results for Bakhtiyari

M Bakhtiyari, M Salehi, F Zayeri, F Mobasheri, P Yavari, A Delpishe, M Karimlou,
Volume 8, Issue 2 (20 2012)
Abstract

Background & Objectives: The aim of this study was to identify the quality of life (QOL) measures commonly used to assess disabled people compared to healthy individuals.
Methods: A cross-sectional study was conducted in 1000 disabled and healthy individuals aged between 15 to 75 years old during 2009 year. These groups were selected by random sampling method multistage cluster sampling from Crescent Comprehensive Rehabilitation Center located in Tehran. WHO's Quality of Life (WHOQOL-100) questionnaire was used to measure quality of life.
Results: The Mean age were 35.9±12.9 and 35.1±12.7 years amongst disabled and non disabled groups, respectively. There was a significant difference between two groups in terms of somatic health and independence of quality of life (P<0.001), in which the mean score in both domains were high in healthy individuals. No significant difference was observed between two groups in other scopes.
Conclusion: Findings of this study highlighted the lower quality of life in disabled people in Tehran, Therefore this group should be targeted for any relevant intervention in order to improve their care.


P Kimyaiee, M Bakhtiyari, M Mirzamoradi, S Ashrafivand, Ma Mansournia,
Volume 11, Issue 3 (Vol 11, No 3 2015)
Abstract

Background and Objectives: GTN is a general term for an extensive range of malignant trophoblastic diseases including invasive mole, choriocarcinoma, epithelioid trophoblastic tumors and placental site trophoblastic tumors. The aim of this study was to predict the risk of GTN in patients with molar pregnancy in Tehran.

Methods: All cases with partial and complete mole with a record of at least 4 titers of β-hCG were included in this study. Before and after fitting the appropriate model for calculating the area under the curve of each predictor variable, the type of the relationship (linear or non-linear) was first determined using locally weighted scatter plot smoothing (Lowess Smoother) and fractional polynomial regression‏ (Fracpoly); then, a model tailored to data processing was used for drawing the ROC diagram.

Results: Nonparametric chi-square analysis indicated no significant difference between the components of high-risk molar pregnancy and GTN (P=0.39). Generally, among 201 cases of molar pregnancy, 61 (30%) had one of the components of high-risk molar pregnancy. The ROC curve with an AUC of 0.86 showed that the regression slope of β-hCG with 73% sensitivity and 88% specificity could be used as a predictor.

Conclusion: The serum β-hCG measurement after 21 days of molar pregnancy evacuation and the slope of the linear regression line of β-hCG were found be good tests to distinguish between patients who will benefit from spontaneous disease remission and patients developing GTN.



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