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Background & Aim: Since observance of ethical standards is an effective factor for improving the performance of nurses in providing quality care. This study was conducted with the aim of evaluating the ethical sensitivity of nurses working at Shahid Madani Hospital in Khorramabad in the spring of 2017. Materials & Methods: This cross-sectional study was performed on 200 nurses working in Khorramabad city at Shahid Madani Hospital. Samples were selected through simple random sampling. Data were collected using a demographic questionnaire and a nurses' ethical sensitivity questionnaire for decision making. Collected Data was analyzed by SPSS software version 16 and descriptive and inferential statistics. Results: According to the reported results, 19.5% of nurses had a low moral sensitivity, 77% had moderate moral sensitivity and 3.5% had high moral sensitivity. The highest scores were related to knowledge about the relationship with the patient 63.33±15.45 and the lowest score was for professional knowledge of nurses 52.69±13.6. Conclusion: According to the findings of this study, it was found that nurses had moderate moral sensitivity. It is suggested to nursing managers to develop appropriate programs to increase nurses' moral sensitivity in the system of health care in the country.

Background: The prevalence of skin manifestations in hemodialysis patients is increasing. Objectives: The aim of this study was to evaluate skin manifestations in patients with end-stage renal disease (ESRD) undergoing hemodialysis. Methods: In this descriptive-analytical study, 100 patients undergoing hemodialysis from among 120 patients referring to Shahid Beheshti Hospital of Abadan and Vali-e-Asr Hospital of Khorramshahr were assessed. A demographic questionnaire and a checklist about skin disorders were used for data collection. The data were analyzed by SPSS version 16 software using descriptive and analytical statistics. Results: The most common skin findings were pale skin (87%), dry skin (71%), hyperpigmentation (46%), and purpura (35%). Among nail manifestations, the most common finding was a half-and-half nail (50%) and the rarest symptom was dystrophy (1%). Conclusions: The results of this study indicated that ESRD was associated with multiple skin symptoms, the most prevalent of which were pale skin and dry skin symptoms. Therefore, early diagnosis of these problems is a major step in improving the quality of life of these patients.

Objectives. Although the risk factors for diabetic neuropathy and diabetic foot ulcer have been detected, there was no practical modeling for their prediction. We aimed to design a logistic regression model on an Iranian dataset to predict the probability of experiencing diabetic foot ulcers up to a considered age in diabetic patients. Methods. The present study was a statistical modeling on a previously published dataset. The covariates were sex, age, body mass index (BMI), fasting blood sugar (FBS), hemoglobin A1C (HbA1C), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), insulin dependency, and statin use. The final model of logistic regression was designed through a manual stepwise method. To study the performance of the model, an area under receiver operating characteristic (AUC) curve was reported. A scoring system was defined according to the beta coefficients to be used in logistic function for calculation of the probability. Results. The pretest probability for the outcome was 30.83%. The final model consisted of age ( β 1 = 0.133 ), BMI ( β 2 = 0.194 ), FBS ( β 3 = 0.011 ), HDL ( β 4 = − 0.118 ), and insulin dependency ( β 5 = 0.986 ) ( P < 0.1 ). The performance of the model was definitely acceptable ( AUC = 0.914 ). Conclusion. This model can be used clinically for consulting the patients. The only negative predictor of the risk is HDL cholesterol. Keeping the HDL level more than 50 (mg/dl) is strongly suggested. Logistic regression modeling is a simple and practical method to be used in the clinic.