Shabankhani B, Kazemnezhad A, Zaeri F
PhD Candidate in Biostatistics, Faculty of Medical Sciences, Tarbiat Moodares University, Tehran, Iran.
Department of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
J Med Life. 2015;8(Spec Iss 2):83-87.
Out of 10 apparently healthy humans, one was somewhat suffering from one of the types of renal disease. Hemodialysis is known as the most applicable method of taking care of this group of patients. In addition, serum creatinine is an important mark in the performance of kidneys. The aim of the present study was to investigate the effective factors in creatinine and its effect on the performance of kidneys. The present study is a longitudinal experiment in which 500 participants were randomly selected from the hemodialysis patients in Mazandaran Province. Creatinine variable was considered as the longitudinal responding variable, which was measured 3 times per year over a period of 6 years. The random effects model was also considered the most appropriate model for the collected data. The total mean value of creatinine was 1.62 ± 0.49, among men 1.69 ± 0.46 and among women 35.1 ± 0.49. Variables of weight (p<0.001), age of disease diagnosis (p<0.001), time (p<0.001), gender (p<0.005), and cardiovascular diseases were significant and had effects on the trend of creatinine changes among the hemodialysis patients. Creatinine mean value had an increasing trend. Blood creatinine had a significant effect on the performance of kidneys, and the identification of variables that affected the creatinine level was highly helpful in controlling the performance of the kidneys. The results of most studies conducted on hemodialysis patients indicated that by measuring and controlling variables like weight, tobacco consumption, and control of related diseases like blood pressure could predict and control creatinine changes precisely.
在10名看似健康的人中，有1人患有某种类型的肾脏疾病。血液透析是照顾这类患者最适用的方法。此外，血清肌酐是肾脏功能的一个重要指标。本研究的目的是调查影响肌酐的因素及其对肾脏功能的影响。本研究是一项纵向实验，从马赞德兰省的血液透析患者中随机选取了500名参与者。肌酐变量被视为纵向响应变量，在6年的时间里每年测量3次。随机效应模型也被认为是收集数据最合适的模型。肌酐的总平均值为1.62±0.49，男性为1.69±0.46，女性为35.1±0.49。体重（p<0.001）、疾病诊断年龄（p<0.001）、时间（p<0.001）、性别（p<0.005）和心血管疾病等变量具有显著性，对血液透析患者肌酐变化趋势有影响。肌酐平均值呈上升趋势。血肌酐对肾脏功能有显著影响，识别影响肌酐水平的变量对控制肾脏功能非常有帮助。大多数针对血液透析患者的研究结果表明，通过测量和控制体重、烟草消费等变量以及控制血压等相关疾病，可以精确预测和控制肌酐变化。
