ABSTRACT Background: Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders affecting women in their reproductive age.It is characterized by anovulation or oligo-ovulation and hyperandrogensim.Androgen excess is the central defect in polycystic ovary syndrome. It is a complex disorder affects general health in addition to oral health.This study aimed to assess the gingival health status among a group of women with polycystic ovary syndrome as well as to estimate the levels of salivaryfree testosterone in unstimulated saliva in relation to gingival health condition. Materials and methods: Sixty two women with an age range 20-25 years old and with a body mass index range18.5-24.9 (normal weight) were included in this study. They were divided into two groups; the study group which included thirty one women with polycystic ovary syndrome, those women. nattended Babylon Teaching Hospital/ Infertility Center and the control group which included thirty one women with regular menstrual cycles,without clinical or biochemical features of hyperandrogenism and ultrasound exclusion of polycystic ovary (without polycystic ovary syndrome). Collection of unstimulated salivary samples was carried out under standardrizedconditions, salivary free testosterone levels were estimated. Plaque index of Silness and Lӧe (1964) was used to assess dental plaque. While gingival index of Lӧe and Silness (1963) was used to assess gingival inflammation. Data analysis was conducted through the application of the (SPSS version 18). The analysis of data included: Mean, Standard deviation, t-test, Pearson Correlation (r), Receiver Operative Characteristics Curve (ROC curve). Results:Results showed that the mean value of plaque index was found to be higher in the control group (1.18±0.03) than that in the study group (1.00±0.08) with statistically highly significant difference (p<0.01).While the mean value of gingival indexwas higher among the study group (1.52±0.06)than that in the control group (1.31±0.05)with statistically highly significant difference (p<0.01).Salivary levels of free testosterone among women with polycystic ovary syndrome (44.12±1.37 pg/ml) were found to be higher than that of control (18.50±0.87) with statistically highly significant difference (p<0.01).The results in this study showed that the correlations between salivary free testosterone with the oral variables (plaque index, gingival index) were statistically not significant (P>0.05). In order to assess the specificity and sensitivity of the use of salivary free testosterone as a diagnostic tool, statistical analysis of Receiver Operative Characteristics Curve (ROC) was used and predictive Value Measurmentswere done in this study. The results showed that the area under the curve for salivary free testosterone test was (1.000) with highly significant p-value (p<0.01). The best optimal cut off point for salivary free testosterone was (30.86) with (100%) sensitivity and specificity, indicating a very good predictive capacity for using salivary free testosterone as a marker for the diagnosis of polycystic ovary syndrome. Conclusions : It was concluded that gingival inflammation was high among women with polycystic ovary syndrome. Furthermore, salivary levels of free testosterone were found to be high among women with polycystic ovary syndrome.
The research aims to identify the effect of teaching according to the augmented reality on the technique of the visual thinking skills among scientific fifth-grade students in a biology course. In order to achieve the goal of the research, the researcher adopted the experimental approach with the partial set of the two equal groups with the dimensional test of visual thinking skills, The research population represented all the scientific students of the fifth grade for morning government schools affiliated to the General Directorate of Education of Baghdad / Karkh II, alshakerin preparatory for boys was chosen intentionally, in which two groups were chosen for this study, one group is chosen randomly as the control group via lottery, whe
... Show MoreA large number of natural or synthetic dyes have been removed from both national and international lists of permitted food colors because of their mutagenic or carcinogenic activity. Therefore, this study aimed to use the Random Amplified Polymorphic DNA-Based Polymerase Chain Reaction (RAPD-PCR) assay as a feasible method to evaluate the ability of some food colors as genotoxin-induced DNA damage and mutations. Lactiplantibacillus plantarum was used as a bioindicator to determine the genotoxic effects by RAPD-PCR using M13 primer after treatment with some synthetic dyes currently used as food color additives, including Sunset Yellow, Carmoisine, and Tartrazine. Besides qualitative analysis, the bioinformatic GelJ software was used for clus
... Show MoreResin-modified glass ionomer cement tends to shrink due to polymerization of the resin component. Additionally, they are more prone to syneresis and imbibition during the setting process. This
In wide range of chemical, petrochemical and energy processes, it is not possible to manage without slurry bubble column reactors. In this investigation, time average local gas holdup was recorded for three different height to diameter (H/D) ratios 3, 4 and 5 in 18" diameter slurry bubble column. Air-water-glass beads system was used with superficial velocity up to 0.24 m/s. the gas holdup was measured using 4-tips optical fiber probe technique. The results show that the axial gas holdup increases almost linearly with the superficial gas velocity in 0.08 m/s and levels off with a further increase of velocity. A comparison of the present data with those reported for other slurry bubble column having diameters larger than
... Show MoreMost companies use social media data for business. Sentiment analysis automatically gathers analyses and summarizes this type of data. Managing unstructured social media data is difficult. Noisy data is a challenge to sentiment analysis. Since over 50% of the sentiment analysis process is data pre-processing, processing big social media data is challenging too. If pre-processing is carried out correctly, data accuracy may improve. Also, sentiment analysis workflow is highly dependent. Because no pre-processing technique works well in all situations or with all data sources, choosing the most important ones is crucial. Prioritization is an excellent technique for choosing the most important ones. As one of many Multi-Criteria Decision Mak
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