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Investigating the effective factors in creatinine changes among hemodialysis patients using the linear random effects
B Shabankhani1, A Kazemnezhad2, F Zaeri3
1PhD Candidate in Biostatistics, Faculty of Medical Sciences, Tarbiat Moodares University, Tehran, Iran.
Insights
Serum creatinine significantly impacts kidney function in hemodialysis patients. Factors like weight, age at diagnosis, time, gender, and cardiovascular disease influence these changes, aiding in kidney performance control.
Area of Science:
- Nephrology
- Clinical Chemistry
- Public Health
Background:
- Renal disease affects approximately 10% of the general population.
- Hemodialysis is a primary treatment for end-stage renal disease.
- Serum creatinine is a key biomarker for assessing kidney function.
Purpose of the Study:
- To identify factors influencing serum creatinine levels.
- To evaluate the impact of these factors on kidney function in hemodialysis patients.
Main Methods:
- A 6-year longitudinal study involving 500 hemodialysis patients.
- Serum creatinine measured three times annually.
- Random effects model used for data analysis.
Main Results:
- Mean serum creatinine was 1.62 ± 0.49.
- Significant factors affecting creatinine trends included weight, age at diagnosis, time, gender, and cardiovascular disease (p<0.001).
- An increasing trend in mean creatinine values was observed.
Conclusions:
- Serum creatinine levels significantly correlate with kidney performance.
- Identifying influencing variables aids in managing kidney function.
- Controlling factors like weight, tobacco use, and comorbidities (e.g., hypertension) can help predict and manage creatinine changes.
Abstract:
Background and objectives: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. Materials and methods: 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. Results: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. Conclusion: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.
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