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BACKGROUND Kidney transplantation is considered an optimal treatment option for patients with end-stage kidney disease in terms of survival rate, quality of life and cost-effectiveness. However, posttransplant life involves many medical, psychological and social challenges for transplant recipients. Understanding individuals' challenges and needs after transplantation is a prerequisite for developing effective patient education and self-management programmes. OBJECTIVE To explore how individuals experience life with a transplanted kidney from a deceased donor. METHODS The purposive sample included eight kidney transplant recipients. In-depth semi-structured interviews were conducted and analysed using interpretative phenomenological analysis. FINDING Three main themes emerged from the data and each one presents a certain aspect of the posttransplant experience: an inner struggle to find a new normality (personal level), me and the others (relational level) and only between me, my donor and god (spiritual level). CONCLUSION The experience of receiving a kidney from a deceased donor represents a complex psychological challenge for recipients. The study is unique as it shows the spiritual dimension of the transplantation experience and how the recipients' views on transplantation and organ donation are shaped by their religious and cultural background, indicating the importance of a holistic nursing approach.

The prevalence of diabetes is increasing among all ages in the European Region. Treatment should be supported by a healthy diet, regular physical activity, maintaining healthy body weight, and avoiding tobacco use. If not managed correctly, sufferers are likely to become progressively more ill. In this paper, a causal Bayesian network model is used for a diabetes case study analysis. The construction and evaluation of it have been done using Netica software. With the help of different probabilities allocated to the nodes, the results assigned to the graph reveals which nodes play a vital role in the onset of diabetes and even further in reaching other serious complications. Moreover, our study validates both the diabetes international criteria and the theory related to the transmission of information in cases of pieces of evidence.

Diabetes is a top priority in the public health system, being a chronic disease which has been steadily increasing over the past few decades. According to the World Health Organization, by the year 2045, 9.9% of the adult population will be diagnosed with diabetes. This paper proposes a new fuzzy inference for diabetes classification. It works as a system that generates case-specific diabetes prediction based on patient data. Starting from a real data acquisition, Decision Tree and Fuzzy Unordered Rule Induction Algorithm were chosen to generate rules. Starting from these rules, the proposed approach gives a more accurate understanding of the main factors that lead to diabetes. Furthermore, the architecture of our method is designed based on the American Diabetes Association criteria and can be used as an effective diabetes classification tool before reaching a doctor.

Cornelia de Lange syndrome (CdLS) is a very rare genetic disorder that is apparent at birth (congenital). Since children with CdLS are often compared to a typical child’s grow rate, many are incorrectly diagnosed.In the absence of the genotyping, the diagnosis would be clinical: a range of criteria would be required, such as the facial features and criteria related to at least one of the following : development, behaviour or growth. Short-stature associated with CdLS is usually due to GH deficiency or GH resistance. However the response to GH administration in patients with CdLS was reported in a limited number of cases.We present the case of a female child 4,11 years old reffered for endocrinological evaluation of short stature. From her medical history we mention: language delay and a pulmonary valve regurgitation. At the time of evaluation, she presented short stature (-2,32 SDS) with a -3 SDS growth velocity during the past year, bone age was more than 2 years delayed compared to the chronological age (2,5 years), weight and head circumference below 5th percentile for age, synophrys, oral dystrophy, micrognathism and thin upper lip, down-turned corners of mouth, hypertrichosis, pulmonary systolic murmur, partial elbow extension.Facial findings and criteria met for two major categories confirm the CdLS. The endocrinological evaluation revealed short-stature with GH deficiency based on two GH values below 10 ng/mL during two stimulation tests . The patient began treatment with somatropin 0,04 mg/kg/day and the patient grew 3,5 cm in 6 months (-2,7 SDS for height).This case suggests that adequate evaluation of patients with CdLS and short stature could identify patients that are good candidate for GH treatment in order to improve final height.