Induced abortion frequency in Ankara, Turkey, before and after the legal regulation of induced abortion.

OBJECTIVE: To determine the effects of the 1983 law that legalized induced abortion on the number and place of abortions, and on the use of family planning (FP) methods before and after abortion, and to determine the demographic characteristics and reproductive health features according to the order of abortion. METHOD: This study included 2455 married, widowed or divorced women presenting at Mother and Child Health-Family Planning Centres in Ankara. A questionnaire was used for data collection. RESULT: Nearly three out of 10 (28.7%) of the women had undergone at least one induced abortion. In the age groups 45-54 and 55-64, 49 and 37.3%, respectively, had had one or more terminations of pregnancy (TOPs). The induced abortion rate increased following the enacting of the law. In the 15-24 and in the 55-64 age group, 55.6 and 89%, respectively, of the women had been aborted by a private physician. Before the index pregnancy, 63.1% were not using contraception compared with 37.3% thereafter. The rate of use of FP increased after the law was passed. CONCLUSION: Although the most common reason for having an abortion was unwanted pregnancy in all age groups and nearly 60.0% of the women aged less than 55 reported that they were not using any FP method at the time of the TOP, the proportion of women having undergone at least one of these procedures increased after the law was passed, indicating that abortion is used as a FP method.     

Targeted vessel reconstruction in non‐contrast‐enhanced steady‐state free precession angiography

Image quality in non‐contrast‐enhanced (NCE) angiograms is often limited by scan time constraints. An effective solution is to undersample angiographic acquisitions and to recover vessel images with penalized reconstructions. However, conventional methods leverage penalty terms with uniform spatial weighting, which typically yield insufficient suppression of aliasing interference and suboptimal blood/background contrast. Here we propose a two‐stage strategy where a tractographic segmentation is employed to auto‐extract vasculature maps from undersampled data. These maps are then used to incur spatially adaptive sparsity penalties on vascular and background regions. In vivo steady‐state free precession angiograms were acquired in the hand, lower leg and foot. Compared with regular non‐adaptive compressed sensing (CS) reconstructions (CS_low), the proposed strategy improves blood/background contrast by 71.3 ± 28.9% in the hand (mean ± s.d. across acceleration factors 1–8), 30.6 ± 11.3% in the lower leg and 28.1 ± 7.0% in the foot (signed‐rank test, P < 0.05 at each acceleration). The proposed targeted reconstruction can relax trade‐offs between image contrast, resolution and scan efficiency without compromising vessel depiction. Copyright © 2016 John Wiley & Sons, Ltd.     

A mixture of experts network structure for modelling Doppler ultrasound blood flow signals

Mixture of experts (ME) is a modular neural network architecture for supervised learning. This paper illustrates the use of ME network structure to guide modelling Doppler ultrasound blood flow signals. Expectation-Maximization (EM) algorithm was used for training the ME so that the learning process is decoupled in a manner that fits well with the modular structure. The ophthalmic and internal carotid arterial Doppler signals were decomposed into time-frequency representations using discrete wavelet transform and statistical features were calculated to depict their distribution. The ME network structures were implemented for diagnosis of ophthalmic and internal carotid arterial disorders using the statistical features as inputs. To improve diagnostic accuracy, the outputs of expert networks were combined by a gating network simultaneously trained in order to stochastically select the expert that is performing the best at solving the problem. The ME network structure achieved accuracy rates which were higher than that of the stand-alone neural network models.     

Primary antibody deficiencies in Turkey: molecular and clinical aspects

Primary antibody deficiencies (PAD) are the most common subtype of primary immunodeficiencies, characterized by increased susceptibility to infections and autoimmunity, allergy, or malignancy predisposition. PAD syndromes comprise of immune system genes highlighted the key role of B cell activation, proliferation, migration, somatic hypermutation, or isotype switching have a wide spectrum from agammaglobulinemia to selective Ig deficiency. In this study, we describe the molecular and the clinical aspects of fifty-two PAD patients. The most common symptoms of our cohort were upper and lower respiratory infections, bronchiectasis, diarrhea, and recurrent fever. Almost all patients (98%) had at least one of the symptoms like autoimmunity, lymphoproliferation, allergy, or gastrointestinal disease. A custom-made next-generation sequencing (NGS) panel, which contains 24 genes, was designed to identify well-known disease-causing variants in our cohort. We identified eight variants (15.4%) among 52 PAD patients. The variants mapped to BTK (n?=?4), CD40L (n?=?1), ICOS (n?=?1), IGHM (n?=?1), and TCF3 (n?=?1) genes. Three novel variants were described in the BTK (p.G414W), ICOS (p.G60*), and IGHM (p.S19*) genes. We performed Sanger sequencing to validate pathogenic variants and check for allelic segregation in the family. Targeted NGS panel sequencing can be beneficial as a suitable diagnostic modality for diagnosing well-known monogenic PAD diseases (only 2–10% of PADs); however, screening only the coding regions of the genome may not be adequately powered to solve the pathogenesis of PAD in all cases. Deciphering the regulatory regions of the genome and better understanding the epigenetic modifications will elucidate the molecular basis of complex PADs.

     

Correction to: Primary antibody deficiencies in Turkey: molecular and clinical aspects

Immunologic Research -     

Comparison of demographic and clinical characteristics of hospitalized COVID-19 patients with severe/critical illness in the first wave versus the second wave

Due to current advances and growing experience in the management of coronavirus Disease 2019 (COVID-19), the outcome of COVID-19 patients with severe/critical illness would be expected to be better in the second wave compared with the first wave. As our hospitalization criteria changed in the second wave, we aimed to investigate whether a favorable outcome occurred in hospitalized COVID-19 patients with only severe/critical illness. Among 642 laboratory-confirmed hospitalized COVID-19 patients in the first wave and 1121 in the second wave, those who met World Health Organization (WHO) definitions for severe or critical illness on admission or during follow-up were surveyed. Data on demographics, comorbidities, C-reactive protein (CRP) levels on admission, and outcomes were obtained from an electronic hospital database. Univariate analysis was performed to compare the characteristics of patients in the first and second waves. There were 228 (35.5%) patients with severe/critical illness in the first wave and 681 (60.7%) in the second wave. Both groups were similar in terms of age, gender, and comorbidities, other than chronic kidney disease. Median serum CRP levels were significantly higher in patients in the second wave compared with those in the first wave [109 mg/L (interquartile range [IQR]: 65–157) vs. 87 mg/L (IQR: 39–140); p < 0.001]. However, intensive care unit admission and mortality rates were similar among the waves. Even though a lower mortality rate in the second wave has been reported in previous studies, including all hospitalized COVID-19 patients, we found similar demographics and outcomes among hospitalized COVID-19 patients with severe/critical illness in the first and second wave.     

Analysis of spike-wave discharges in rats using discrete wavelet transform

A feature is a distinctive or characteristic measurement, transform, structural component extracted from a segment of a pattern. Features are used to represent patterns with the goal of minimizing the loss of important information. The discrete wavelet transform (DWT) as a feature extraction method was used in representing the spike-wave discharges (SWDs) records of Wistar Albino Glaxo/Rijswijk (WAG/Rij) rats. The SWD records of WAG/Rij rats were decomposed into time-frequency representations using the DWT and the statistical features were calculated to depict their distribution. The obtained wavelet coefficients were used to identify characteristics of the signal that were not apparent from the original time domain signal. The present study demonstrates that the wavelet coefficients are useful in determining the dynamics in the time-frequency domain of SWD records.     

Detecting variability of internal carotid arterial Doppler signals by Lyapunov exponents

The new method presented in this study was directly based on the consideration that internal carotid arterial Doppler signals are chaotic signals. This consideration was tested successfully using the nonlinear dynamics tools, like the computation of Lyapunov exponents. Multilayer perceptron neural network (MLPNN) architecture was formulated and used as a basis for detecting variabilities such as stenosis and occlusion in the physical state of internal carotid arterial Doppler signals. The computed Lyapunov exponents of the internal carotid arterial Doppler signals were used as inputs of the MLPNN. Receiver operating characteristic (ROC) curve was used to assess the performance of the detection process. The internal carotid arterial Doppler signals were classified with the accuracy varying from 94.87% to 97.44%. The results confirmed that the proposed MLPNN trained with Levenberg-Marquardt algorithm has potential in detecting stenosis and occlusion in internal carotid arteries.     

Immobilization of β-galactosidase on novel polymers having Schiff bases

We have developed a strategy to immobilize β-galactosidase as a model enzyme by using polymeric supports having Schiff bases, which were prepared from (aminomethyl)polystyrene and 2-phenlyindole-3-carboxaldehyde by condensation. β-galactosidase was immobilized onto the new polymer supports via covalent bonds. The influence of temperature, pH, reusability, and storage capacity on the free and immobilized β-galactosidase was investigated. Our results indicate that the (aminomethyl)polystyrene with Schiff bases is most suitable for the immobilization of β-galactosidase. These kinds of new supports can be used for the immobilization of β-galactosidase due to their strong storage capacity and reusability.     

Atorvastatin exerts anti-nociceptive activity and decreases serum levels of high-sensitivity C-reactive protein and tumor necrosis factor-α in a rat endometriosis model

Purpose

The purpose of this study was to examine the effects of atorvastatin in the treatment of experimental endometriosis.

Methods

Endometriosis was induced in 24 female rats. 4 weeks after the procedure dimensions of the foci were recorded. Rats were divided into three groups: in Group 1 (n = 8), a daily dose of 10 mg/kg atorvastatin was given for 14 days. In the second group (n = 8), a single dose of 1 mg/kg leuprolide acetate was injected intraperitoneally. The rats in Group 3 (n = 8) were received 1 mg/kg i.p. 0.9 % NaCl. At the end of the treatment, laparotomy was performed, and the dimensions of the endometriotic foci were recorded. Biochemical, histopathological and immunohistochemical studies were performed and nociception was compared in groups.

Results

Atorvastatin treatment exhibited significant analgesic activity in hot plate model (P = 0.022). The serum hs-CRP and tumor necrosis TNF-α levels were similar between the Group 2 and Group 3 (P > 0.05); however atorvastatin caused significant decrease in both serum markers. The histological and immunohistochemical scores were also found to be markedly lower in Group 1 and Group 2 (P < 0.05).

Conclusion

Atorvastatin treatment may have a therapeutic potential in the treatment of endometriosis through its anti-inflammatory and anti-nociceptive properties.