Serum creatinine concentrations in male and female elite swimmers. Correlation with body mass index and evaluation of estimated glomerular filtration rate

Introduction: Rheumatic heart disease (RHD), the leading causes of acquired heart disease worldwide, is a major health problem in developing countries. Rheumatic Heart Disease (RHD), affecting the heart valve system, leading to congestive heart failure and arrhythmias. The effects of body mass index (BMI) on kidney function have been reported and become a subject of increased concern. BMI is strongly associated with decreased eGFR in healthy persons. But the association between BMI and eGFR is not well characterized in chronic disease like RHD. Objective: The aim of this study was to investigate the association between body mass index (BMI) and estimated glomerular filtration rate (eGFR) among RHD patients as studies have evaluated the significance BMI as a risk factor for the development of kidney diseases. Methodology: It was an analytical cross-sectional study, which was conducted in a tertiary care hospital. A questionnaire was used to record the demographic characteristics of the patients. Height in meter and weight in kg of the study patients were recorded to calculate body mass index. Serum creatinine level of the patients was estimated in the clinical laboratory and estimated glomerular filtration rate was calculated by cockroft-Gault formula. The data was analyzed into SPSS 20.0 V Results: The total number of rheumatic heart disease patients enrolled in this study was 120. The Mean ± Standard deviation values of body mass index, serum creatinine and estimated glomerular filtration rate of all the patients were 21.39 ± 3.91 kg/m2, 0.93 ± 0.41 mg/dl and 69.53±19.4 ml/min respectively. Increased body mass index was associated with reduced estimated glomerular filtration rate (r = -0.04) of the patients. Similarly, body mass index showed negative correlation with that of serum creatinine (r = -0.03) and also with that of age (r = -0.05) of the patients. Age (r = -0.043) and serum creatinine (r = -0.056) of the patients were negatively correlated with estimated glomerular filtration rate. Conclusion: The study reveals that in rheumatic heart disease, body mass index is negatively but non-significantly associated with estimated glomerular filtration rate.

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Relationship between Body Mass Index (BMI) and Glomerulus Filtration Rate Estimation in Overweight Students at the Health Analyst Department of Pontianak Health Polytechnic

JURNAL TEKNOLOGI KESEHATAN BORNEO ◽

10.30602/jtkb.v2i1.32 ◽

2021 ◽

Vol 2 (1) ◽

pp. 27-33

Author(s):

Slamet

Keyword(s):

Body Mass Index ◽

Glomerular Filtration Rate ◽

Glomerular Filtration ◽

Body Mass ◽

Filtration Rate ◽

Estimated Glomerular Filtration Rate ◽

The Body ◽

P Value ◽

Fat Deposits ◽

The Relationship

Obesity occurs due to excessive fat deposits in the body, one of which is a poor diet. The relationship between overweight and chronic kidney disease (CKD) is mediated through several mechanisms of adiponectin, leptin, and resistin, the development of inflammation, oxidative stress, abnormal lipid metabolism, and activation of the renin-angiotensin-aldosterone system. The purpose of this study was to determine the relationship between body mass index and estimated glomerular filtration rate in overweight students at the Health Analyst Department of Pontianak Health Polytechnic. The research design used was cross-sectional. This research was conducted on May 14-18, 2018. The population is a student health analyst. With the criteria for students from the 2015 and 2016 batches who are still active, BMI 23-29.9 Kg/m² and aged 18 to 22 years, totaling 37 respondents. The sampling technique used is total sampling. Performed include measurements of BMI, serum creatinine Jaffe method, fixed time and ELFG Cokroft-Gault formula. The results obtained using the Kendall's tau test showed that the p value (0.906) was greater than (0.05) meaning that there was no relationship between body mass index and estimated glomerular filtration rate in overweight students at the Health Analyst Department of Pontianak Health Polytechnic.

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