Stop chronic kidney disease progression: Time is approaching

Din, Usama A.A. Sharaf El; Salem, Mona M; Abdulazim, Dina O.

doi:10.5527/wjn.v5.i3.258

Cited by 38 publications

(19 citation statements)

References 199 publications

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“…There have been several studies on the prediction of CKD using statistical approach-es, artificial neural networks, image processing, machine learning algorithms and Data mining algorithms. Therefore, we discovered couple of concentrates identified with restorative analysis and repeat utilizing information mining approaches [1][2][3][4][5][6][7][8][9][10]. In [4,9,10] authors have discussed about the significance of the attribute selection process for predicting CKD.…”

Section: Related Workmentioning

confidence: 99%

“…Chronic Kidney Disease (CKD) is one of the overall general medical issues because of the exorbitant treatment of its end stage and high probability of death [1,2]. As from bulletin of the World Health Organization (WHO) 2018, Kidney diseases are associated with an estimated 188 million cases of horrifying health expenditure in lower and middle-income countries [3].…”

Section: Introductionmentioning

confidence: 99%

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Predicting and Staging Chronic Kidney Disease of Diabetes (Type-2) Patient using Machine Learning Algorithms

Basak¹,

Alam²,

Rakshit³

et al. 2019

IJITEE

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Mortality because of unending kidney disease increments essentially in recent years. Nowadays, about 422 million patients are suffering from diabetes among them around 30 percent of patients with Type 1 (adolescent beginning) diabetes and around 10 to 40 percent of those with Type 2 (grown-up beginning) diabetes in the end will experience the negative impacts of kidney damage. It is evident, that early detection of Chronic Kidney Disease (CKD) can mitigate the level of damage in the adulthood. In this paper, we have presented a comparative analysis based on the performance of five different algorithms-Naive Bayes (NB), In-stance Based Learning (IBK), Random Forest (RF), Decision Stump (DS) and Decision Tree (J48) for predicting CKD of diabetes patients only by urine test. Among all the algorithms the IBK gives the best result. Our comparison of different algorithms will help people with diabetes to find out if they are having CKD or not.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting and Staging Chronic Kidney Disease of Diabetes (Type-2) Patient using Machine Learning Algorithms

Basak¹,

Alam²,

Rakshit³

et al. 2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…Chronic kidney disease (CKD) and acute kidney injury (AKI) have a high global prevalence and economic burden [1]. CKD is defined as a decreased estimated glomerular filtration rate (GFR, <60 mL/min/1.73 m 2 ) for at least 3 months and a gradual and permanent loss of kidney function over the course of months or years [2,3]. AKI is characterized by an abrupt decline in renal function [4].…”

Section: Introductionmentioning

confidence: 99%

Klotho alleviates indoxyl sulfate-induced heart failure and kidney damage by promoting M2 macrophage polarization

Jin

Wang

et al. 2020

Aging

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Indoxyl sulfate (IS) is a protein-bound uremic toxin that can accumulate in patients with chronic kidney disease (CKD) or acute kidney injury (AKI) and cause kidney and cardiac dysfunction. Klotho is an anti-aging protein that has reno-and cardio-protective effects. We investigated whether Klotho could alleviate IS-induced heart failure and kidney damage by regulating macrophages, which play a key role in the inflammatory response in CKD and AKI. Treatment of THP-1-derived macrophages with IS induced the production of the pro-inflammatory cytokines TNFα, IL-6, and IL-1β, and stimulated M1 polarization. Additionally, IS induced downregulation of Klotho expression in macrophages. Overexpression of Klotho suppressed the IS-induced inflammatory response in macrophages by stimulating M2 polarization. It also alleviated IS-induced cardiac hypertrophy and renal fibrosis in mice. A reduction in IS-induced phosphorylation of NF-kB p65 was observed in response to Klotho overexpression, suggesting that Klotho alleviates kidney and cardiac injury by inactivating NF-kB signaling and promoting macrophage M2 polarization.

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“…The rise of hypertension and diabetes in recent years, along with other less prevalent causes, has increased the occurrence of chronic kidney disease (CKD), a progressive loss of renal function, classified in five stages, according to the glomerular filtration rate. 1 The prevalence of CKD in Brazil is of 1.5% and, currently, 3 to 6 million people live with this disease in the country, the majority of them untreated. In addition, there are $ 120 thousand patients on dialysis, 2 and > 92 thousand people already underwent renal transplantation in the country.…”

Section: Introductionmentioning

confidence: 99%

Pregnancy Among Women with Kidney Transplantation: A 20-Years Single-Center Registry

Mariano

Guida

Sousa

et al. 2019

Rev Bras Ginecol Obstet

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Objective To assess maternal and perinatal outcomes in pregnancies after kidney transplantation in a tertiary center in Brazil. Methods Retrospective cohort of pregnancies in women with kidney transplantation at the Universidade Estadual de Campinas, from January 1995 until December 2017. Medical charts were reviewed, and maternal and perinatal outcomes were described as means and frequencies. Renal function and blood pressure were evaluated during pregnancy and postpartum. Results A total of 22 women had at least 1 pregnancy during the considered time interval, and 3 of them had > 1 pregnancy, totalizing 25 pregnancies. The mean age at transplantation was of 24.6 ± 4.2 years old, and the mean time interval until pregnancy was of 67.8 ± 46.3 months. The most frequent complication during pregnancy was hypertension, which affected 11 (64.7%) women. The gestational age at delivery was 34.7 ± 4 weeks, and 47% of these pregnancies were preterm (< 37 weeks). A total of 88.2% of the women delivered by cesarean section. Renal function, measured by serum creatinine, remained stable during pregnancy, and the systolic blood pressure increased significantly, while the diastolic blood pressure did not differ during pregnancy. Conclusion Pregnancy after kidney transplantation is a rare event. Pre-eclampsia and prematurity were frequent complications, and cesarean section rates were very high. A specialized antenatal and postpartum care with a multiprofessional approach and continuous monitoring of graft function are essential for the early diagnosis of complications and improved outcomes.

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Stop chronic kidney disease progression: Time is approaching

Cited by 38 publications

References 199 publications

Predicting and Staging Chronic Kidney Disease of Diabetes (Type-2) Patient using Machine Learning Algorithms

Predicting and Staging Chronic Kidney Disease of Diabetes (Type-2) Patient using Machine Learning Algorithms

Klotho alleviates indoxyl sulfate-induced heart failure and kidney damage by promoting M2 macrophage polarization

Pregnancy Among Women with Kidney Transplantation: A 20-Years Single-Center Registry

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