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Hekmat R, Mojahedi Mj, Ahmadnia H,
Volume 66, Issue 7 (10-2008)
Abstract

Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Background: The preferred modality of dialysis is a controversial issue in nephrology. In this study we compare some demographic and epidemiological characteristics of hemodialysis and peritoneal dialysis patients in an attempt to analyze this issue.
Methods: The results of the research protocol "A survey of the epidemiological characteristics of chronic dialyzed patients in Khorassan province", was used to compare some demographic and epidemiological aspects of chronic hemodialysis and peritoneal dialysis patients in search of any statistically significant difference.
Results: A total of 836 chronic dialysis patients entered this study, 802 (95.9%) of which were under chronic hemodialysis, and 34 (4.1%) patients were undergoing peritoneal dialysis, with 339 (42.3%) and 12 (35.3%) being female, respectively. The mean age for each group was 47.57 and 46.75 years, respectively. The causes of end-stage renal disease in hemodialzed patients were most commonly hypertension (32.2%), followed by diabetes mellitus (22.3%), unknown causes (19.6%) and chronic glomeru-lonephritis (10.2%). In the peritoneal dialysis group, chronic glomerulonephritis (32.4%) was the most common reason for dialysis, followed by diabetes mellitus (26.5%) and unknown causes (11.8%). The mean serum hemoglobin creatinine, calcium, and phosphorus levels for hemodialysis patients were 10.42, 8.5, 8.93, and 6.03 mg/dL, respectively, and those for peritoneal dialysis patients were 11.28, 8.52, 9.41 and 5.40 mg/dL. There were no statistical differences between the median age, sexual distribution and mean levels of Hgb, Ca, phosphorus, creatinine, HCV antibody and HbsAg of the hemodialysis patients and those of the peritoneal dialysis patients.
Conclusions: The results of our study show that hemodialysis and peritoneal dialysis are similarly effective treatments.


Mina Khanhoseini, Hossein Sheybani, Salman Daliri, Zahra Hadadi, Hengameh Khosravani,
Volume 79, Issue 3 (6-2021)
Abstract

Background: Acute coronary syndrome (ACS) is one of the causes of disability and death. Levels of Uric acid, blood glucose, and dyslipidemia are the risk factors for the disease, but their role in electrocardiographic changes has not been studied. Based on this, this study aimed to investigate the relationship between some demographic and clinical characteristics with electrocardiographic changes.
Methods: This cross-sectional study was performed on 484 patients with Acute Coronary Syndrome admitted to Shahroud Imam Hossein Hospital from the beginning of January to the end of June 2018. In this study, the relationship between demographic, clinical and laboratory variables in patients with the acute coronary syndrome with STE, STD, Dynamic changes and inverted T waves were investigated. The required information was extracted from the Patients' records using the researcher-made checklist. Statistical analysis of data was conducted by using descriptive tests for estimating mean and frequency and statistical-analytical tests including chi-square and ANOVA were performed by SPSS software version 22.
Results: The results show that the proportion of STD deviations in women with ACS was 12.6% higher than in men, but the proportion of STE and Dynamic changes in men was 10.4% and 12.2% higher than women, respectively. The proportion of STD, STE, inverted T and Dynamic changes in people with hyperlipidemia was 67.8%, 77.6%, 64.7% and 75.8%, respectively. The proportion of STD, STE, inverted T and Dynamic changes in patients with hypertension were 0.12%, 5.1%, 11.2%, and 19.1%, respectively that there was a difference with patients without high blood pressure. Between addiction, fasting blood sugar and LDL with STD; Between History of heart disease, history of angiography, hypertension, creatinine and WBC with STE; and between creatinine and fasting blood sugar statistically significant differences were observed.
Conclusion: There were significant correlations between electrocardiogram changes, gender, addiction, hypertension, creatinine, LDL level, fasting glucose and white blood cell count.


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