A follow-up and treatment model for pediatric eating disorders: examination of the clinical variables of a child and adolescent psychiatry eating disorder outpatient clinic

IntroductionAnorexia nervosa and other eating disorders are common in children and adolescents and are characterized by symptoms such as food restriction, efforts to lose weight, fear of gaining weight and impaired body image. Anorexia nervosa is a life-threatening psychiatric disorder and its management in the outpatient setting can be challenging for clinicians. The aim of this study was to introduce the subunit service model developed for the multidisciplinary diagnosis and management of eating disorders in the outpatient setting and to evaluate the clinical follow-up of patients.MethodsThe medical records of 37 patients who were followed up by the eating disorders team at our clinic between 2018 and 2022 were reviewed. The study was designed as retrospective case study.ResultsA diagnosis was made according to DSM-5 and a treatment plan was developed for each case. Body mass index (BMI), Clinic Global Impression (CGI) scale scores, duration of follow-up, number of interviews and other scale scores (The Turgay Attention Deficit Hyperactivity Disorder Scale and the Autism Spectrum Screening Questionnaire Scale) of 37 patients aged 12-17 years diagnosed with an eating disorder and followed up in our clinic were statistically compared.DiscussionThe Eating Disorder Follow-up Model developed and applied in our clinic had a positive effect on patients BMI scores, a significant improvement in CGI scores was observed. Conclusion: We believe that this multidisciplinary system will serve as a model for other mental health centers by raising awareness and guiding mental health professionals in the follow-up and treatment of eating disorders

Ovarian damage from chemotherapy and current approaches to its protection

BACKGROUND: Anti-cancer therapy is often a cause of premature ovarian insufficiency and infertility since the ovarian follicle reserve is extremely sensitive to the effects of chemotherapy and radiotherapy. While oocyte, embryo and ovarian cortex cryopreservation can help some women with cancer-induced infertility achieve pregnancy, the development of effective methods to protect ovarian function during chemotherapy would be a significant advantage.OBJECTIVE AND RATIONALE: This paper critically discusses the different damaging effects of the most common chemotherapeutic compounds on the ovary, in particular, the ovarian follicles and the molecular pathways that lead to that damage. The mechanisms through which fertility-protective agents might prevent chemotherapy drug-induced follicle loss are then reviewed.SEARCH METHODS: Articles published in English were searched on PubMed up to March 2019 using the following terms: ovary, fertility preservation, chemotherapy, follicle death, adjuvant therapy, cyclophosphamide, cisplatin, doxorubicin. Inclusion and exclusion criteria were applied to the analysis of the protective agents.OUTCOMES: Recent studies reveal how chemotherapeutic drugs can affect the different cellular components of the ovary, causing rapid depletion of the ovarian follicular reserve. The three most commonly used drugs, cyclophosphamide, cisplatin and doxorubicin, cause premature ovarian insufficiency by inducing death and/or accelerated activation of primordial follicles and increased atresia of growing follicles. They also cause an increase in damage to blood vessels and the stromal compartment and increment inflammation. In the past 20 years, many compounds have been investigated as potential protective agents to counteract these adverse effects. The interactions of recently described fertility-protective agents with these damage pathways are discussed.WIDER IMPLICATIONS: Understanding the mechanisms underlying the action of chemotherapy compounds on the various components of the ovary is essential for the development of efficient and targeted pharmacological therapies that could protect and prolong female fertility. While there are increasing preclinical investigations of potential fertility preserving adjuvants, there remains a lack of approaches that are being developed and tested clinically

COMPUTERS & MATHEMATICS WITH APPLICATIONS

In this study it is shown that the numerical solutions of linear Fredholm integro-differential equations obtained by using Legendre polynomials can also be found by using the variational iteration method. Furthermore the numerical solutions of the given problems which are solved by the variational iteration method obviously converge rapidly to exact solutions better than the Legendre polynomial technique. Additionally, although the powerful effect of the applied processes in Legendre polynomial approach arises in the situations where the initial approximation value is unknown, it is shown by the examples that the variational iteration method produces more certain solutions where the first initial function approximation value is estimated. In this paper, the Legendre polynomial approximation (LPA) and the variational iteration method (VIM) are implemented to obtain the solutions of the linear Fredholm integro-differential equations and the numerical solutions with respect to these methods are compared. (C) 2009 Elsevier Ltd. All rights reserved

NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS

In this study, an efficient framework provided to handle nonlinear partial differential equations by implementing perturbation iteration method. This method is recovered and amended to solve the Burgers' and regularized long wave equations. Comparing our new solutions with the exact solutions reveals that this technique is extremely accurate and effective in solving nonlinear models. Convergence analysis and error estimate are also supplied using some critical theorems

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS

The implementation of the two-dimensional differential transform method (DTM), Adomian's decomposition method (ADM), and the variational iteration method (VIM) in the mathematical applications of partial differential equations is examined in this paper. The VIM has been found to be particularly valuable as a tool for the solution of differential equations in engineering, science, and applied mathematics. The three methods are compared and it is shown that the VIM is more efficient and effective than the ADM and the DTM, and also converges to its exact solution more rapidly. Numerical solutions of two examples are calculated and the results are presented in tables and figures

2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL MATHEMATICS AND ENGINEERING SCIENCES (CMES2017)

In this article, a framework is developed to get more approximate solutions to nonlinear partial differential equations by applying perturbation iteration technique. This technique is modified and improved to solve nonlinear diffusion equations of the Fisher type. Some problems are investigated to illustrate the efficiency of the method. Comparisons between the new results and the solutions obtained by other techniques prove that this technique is highly effective and accurate in solving nonlinear problems. Convergence analysis and error estimate are also provided by using some related theorems. The basic ideas indicated in this work are anticipated to be further developed to handle nonlinear models

CHAOS SOLITONS & FRACTALS

In this paper, we examine a cubic isothermal auto-catalytic chemical system (CIACS) with the help of the newly developed technique. Classical model of this system is transformed into a new fractional forms by using three different and special fractional operators. The new model is therefore called as fractional cubic isothermal auto-catalytic chemical system (FCIACS). Then, the new systems are solved by optimal perturbation iteration method. Obtained results are compared to get an idea about the new derivative operators and optimal perturbation iteration method. (C) 2019 Elsevier Ltd. All rights reserved