Obese First degree relatives of hemodialysis patients  are at Higher Risk for Developing Kidney Diseases: In a Cross-sectional Study

Elemam, Abozaid Mohammed

doi:10.18502/sjms.v14i3.5214

Cited by 2 publications

(2 citation statements)

References 43 publications

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“…Obesity was observed among 14% of FDRs compared with 6.7% of the controls. The prevalence of obesity observed in this study was similar to 14.6% reported in Cameroun by Temgoua et al 60 . This similarity may be explained by shared socio-economic factors and lifestyle changes.…”

Section: Risk Factors For Ckd In Fdrs Of Ckd Patientssupporting

confidence: 91%

“…The higher prevalence of obesity observed in the later studies may be related to the socio-demographic characteristics of the population studied, including the level of urbanization, lifestyle measures and diets. Obese family relatives of ESRD patients have been reported to have increased risk for developing CKD due to the presence of high ACR and lower eGFR in them 60 . Therefore, obese individuals should be screened for kidney disease because interventions targeted at obesity reduction have been shown to retard CKD progression.…”

Section: Risk Factors For Ckd In Fdrs Of Ckd Patientsmentioning

confidence: 99%

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Risk factors for Undiagnosed Kidney Disease among Stable First-Degree Relatives of Chronic Kidney Disease Patients at Nnamdi Azikiwe University Teaching Hospital, Nnewi, South Eastern Nigeria

Ozuemba,

Ezeude,

Odenigbo

et al. 2024

J. Drug Delivery Ther.

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Background: Chronic kidney disease (CKD) is a global public health problem and has a major impact on health and cost of health care. In Nigeria, renal replacement therapy (RRT) is funded out of pockets by patients and their relatives unlike in most developed countries. There is a high clustering of the risk factors for CKD in FDRs of CKD patients, making then an ideal population for the screening for and the reversal of the modifiable risk factors that predispose to CKD. Objective: This study determined the risk factors for CKD in the FDRs of patients Methodology: This study involving 300 subjects: 150 FDRs of CKD patients and 150 control subjects without personal or family history of CKD. The study and control subjects were screened for CKD using urine albumin creatinine ratio (uACR) and estimated glomerular filtration rate (eGFR). Prevalence rate of the risk factors for CKD such as hypertension, diabetes mellitus, obesity, dyslipidaemia, hyperuricaemia and life style practices like significant smoking and heavy alcohol consumption were determined for both the FDRs and the control subjects. Data was analyzed with SPSS version 21.0. Mann-Whitney U test was used for comparing the variables between the two study groups for continuous variables that were not normally distributed and Chi square tests for categorical variables. Results: The prevalence rate of dyslipidaemia and hyperuricaemia was significantly higher among the FDRs of CKD patients compared with the control subjects (26% versus 12%; P = 0.003) and (20.7% versus 7.3%; P = 0.001) respectively. The other risk factors for CKD that included hypertension, diabetes mellitus, obesity, significant cigarette smoking, heavy alcohol consumption and herbal medication use were equally more among the FDRs of CKD patients compared with the controls, although not statistically significant. Conclusion: The risk factors for CKD were common among FDRs of CKD patients. Screening for these risk factors at the earliest possible contact with the FDRs of CKD patients and taking appropriate actions to tackle the modifiable ones will prevent the development of CKD and retard the progression of the already existing disease, reduce the alarming global burden of CKD.

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Section: Risk Factors For Ckd In Fdrs Of Ckd Patientssupporting

confidence: 91%

Section: Risk Factors For Ckd In Fdrs Of Ckd Patientsmentioning

confidence: 99%

Risk factors for Undiagnosed Kidney Disease among Stable First-Degree Relatives of Chronic Kidney Disease Patients at Nnamdi Azikiwe University Teaching Hospital, Nnewi, South Eastern Nigeria

Ozuemba,

Ezeude,

Odenigbo

et al. 2024

J. Drug Delivery Ther.

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Time to Kidneys Failure Modeling in the Patients at Adama Hospital Medical College: Application of Copula Model

et al. 2022

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Background: Kidney failure is a common public health problem around the world. The vast majority of kidney failure cases in Sub-Saharan African nations, including Ethiopia, go undetected and untreated, resulting in practically certain mortality cases. This study was aimed primarily to model the time to (right and left) kidneys failure in the patients at Adama Hospital Medical College using the copula model. Study design: A retrospective cohort study. Methods: The copula model was used to examine join time to the right and left kidneys failure in the patients by specifying the dependence between the failure times. We employed Weibull, Gompertz, and Log-logistic marginal baseline distributions with Clayton, Gumbel, and Joe Archimedean copula families. Results: This research comprised a total of 431 patients, out of which, 170 (39.4%) of the total patients failed at least one kidney during the follow-up period. Factors such as sex, age, family history of kidney disease, diabetes mellitus, hypertension, and obesity were found to be the most predictive variables for kidney failure in the patients. There was a 41 percent correlation between the patients’ time to the right and left kidneys failure. Conclusion: The patients’ kidney failure risk factors included being a male, older adult, obese, hypertensive, diabetic and also having a family history of kidney disease. The dependence between the patient’s time to the right and left kidneys failure was strong. The best statistical model for describing the kidney failure datasets was the log-logistic-Clayton Archimedean copula model.

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Obese First degree relatives of hemodialysis patients are at Higher Risk for Developing Kidney Diseases: In a Cross-sectional Study

Cited by 2 publications

References 43 publications

Risk factors for Undiagnosed Kidney Disease among Stable First-Degree Relatives of Chronic Kidney Disease Patients at Nnamdi Azikiwe University Teaching Hospital, Nnewi, South Eastern Nigeria

Risk factors for Undiagnosed Kidney Disease among Stable First-Degree Relatives of Chronic Kidney Disease Patients at Nnamdi Azikiwe University Teaching Hospital, Nnewi, South Eastern Nigeria

Time to Kidneys Failure Modeling in the Patients at Adama Hospital Medical College: Application of Copula Model

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