Background Sleep disorder in haemodialysis patients can lead to disturbance in their psychosocial function and interpersonal relations, and reduced quality of life. The aim of the present study was to investigate the effect of acupressure on the quality of sleep of haemodialysis patients. Methods In a randomised controlled trial, 108 haemodialysis patients were randomly divided into three groups: true acupressure, placebo acupressure, and no treatment. The two acupressure groups received treatment three times a week for 4 weeks during dialysis. Routine care only was provided for the no treatment group. The main study outcome was sleep quality. Results The total Pittsburgh Sleep Quality Index score decreased significantly from 11.9±3.13 to 6.2±1.93 in the true acupressure group, from 11.3±3.69 to 10.6±3.82 in the sham acupressure group, and from 10.9±4.10 to 10.7±3.94 in the no treatment group. There was a significant difference between groups (p<0.001). Conclusions Acupressure seems to have a positive effect on the sleep quality in haemodialysis patients. Clinical trial registration IRCT201106145864N2.

Introduction: Reflection is formed through deep reflection on the event or a certain clinical position. The aim of this study was to determine the effect of reflection on nurse-patient communication skills of nurses working in emergency departments. Methods: This interventional study was conducted on intervention and control groups and with a pretest-posttest design. 142 nurses working in the emergency departments of hospitals affiliated to Golestan University of Medical Sciences were enrolled in the study in 2015, and randomly divided into two groups. During eight weeks of the study, the intervention group was asked to write their clinical experiences with regard to communication issues with their patients. Before the intervention, the communication skills of both groups were compared using a questionnaire. Data analysis was performed, using independent t-test, paired t-test, Mann-Whitney and Wilcoxon tests. Results: Of the 142 nurses, 122 nurses had full participation. In the intervention group the mean scores of verbal communication skills, non-verbal communication skills, general communication skills and communication skills based on patient safety were statistically significant, but there was no significant difference in the control group. Conclusion: The results showed that eight weeks of reflection by nurses is an effective intervention in dimensions of communication skills. We therefore suggest that a reflective writing be encouraged as a vital tool for improving communication competency among emergency department nurses.

Purpose: Coronary artery disease (CAD) is one of the most significant cardiovascular diseases that requires accurate angiography to diagnose. Angiography is an invasive approach involving risks like death, heart attack, and stroke. An appropriate alternative for diagnosis of the disease is to use statistical or data mining methods. The purpose of the study was to predict CAD by using discriminant analysis and compared with the logistic regression.Materials and methods: This cross-sectional study included 758 cases admitted to Fatemeh Zahra Teaching Hospital (Sari, Iran) for examination and coronary angiography for evaluation of CAD in 2019. A logistics discriminant, Quadratic Discriminant Analysis (QDA) and Linear Discriminant Analysis (LDA) model and K-Nearest Neighbor (KNN) were fitted for prognosis of CAD with the help of clinical and laboratory information of patients.Results: Out of the 758 examined cases, 250 (32.98%) cases were non-CAD and 508 (67.22%) were diagnosed with CAD disease. The results indicated that the indices of accuracy, sensitivity, specificity and area under the ROC curve (AUC) in the linear discriminant analysis (LDA) were 78.6, 81.3, 71.3, and 81.9%, respectively. The results obtained by the quadratic discriminant analysis were respectively 64.6, 88.2, 47.9, and 81%. The values of the metrics in K-nearest neighbor method were 74, 77.5, 63.7, and 82%, respectively. Finally, the logistic regression reached 77, 87.6, 55.6, and 82%, respectively for the evaluation metrics.Conclusions: The LDA method is superior to the Quadratic Discriminant Analysis (QDA), K-Nearest Neighbor (KNN) and Logistic Regression (LR) methods in differentiating CAD patients. Therefore, in addition to common non-invasive diagnostic methods, LDA technique is recommended as a predictive model with acceptable accuracy, sensitivity, and specificity for the diagnosis of CAD. However, given that the differences between the models are small, it is recommended to use each model to predict CAD disease.

Background: Frequency of mood disorders in patients with chronic diseases, especially diabetes and its effects on life quality are dramatically increasing. Objectives: This study aimed to investigate the relation between depression and quality of life in patients with diabetes. Patients and Methods: This is a cross sectional survey. Subjects were selected from 330 eligible people referred to the only diabetes clinic in Gorgan City during 6 months, using systematic random sampling. Beak Depression questionnaire and the brief questioner with 26 questions recommended by the World Health Organization (WHOQOL-BREF) were used to measure depression and quality of life, respectively. Data were analyzed through descriptive methods, Chi-square, Independent t test and linear regression model using SPSS16; moreover, P value < 0.05 was considered as significant. Results: In total, 330 patients with diabetes (35.5 % male and 64.5% women) were studied. The mean and standard deviation of their age and years involved with diabetes were 50.6 ± 9.0 and 5.4 ± 4.5 years, respectively. Range of age was 25 - 75 years, as well. The prevalence of depression in all patients with diabetes was 58.2% (124 mild, 56 medium, and 12 with severe depression). Hypertension was 13.9% more in diabetic patients with depression (P value < 0.001) and physical activity in 24.7% of the cases was less with a meaningful difference (P value = 0.01). The mean and standard deviation of quality of life in diabetic patients with and without depression was 50.7 ± 14 and 60.5 ± 13.3, respectively that was significant in two groups (P < 0.0001). Conclusions: The prevalence of depression is high in patients with diabetes and has a considerable impact on the consequences of diabetes and quality of life too. Keywords: Type 2 Diabetes Mellitus; Quality of Life; Depression

Journal of Clinical and Diagnostic Research aims to publish findings of doctors at grass root level and post graduate students, so that all unique medical experiences are recorded in literature.