The specific impact of uremic toxins upon cognitive domains: a review

Franco, Álvaro de Oliveira; Starosta, Rodrigo Tzovenos; Roriz‐Cruz, Matheus

doi:10.1590/2175-8239-jbn-2018-0033

Cited by 17 publications

(15 citation statements)

References 71 publications

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“…Besides damaging neurons, different waste product accumulation in the blood may result in signaling disturbance in the brain regions, particularly in those involved in cognitive activities. [45][46][47] However, a cross-sectional study conducted in the United Kingdom reported a lower prevalence (20%) of cognitive impairment than the findings of this research. 17 This difference might be because of a large proportion of participants with a higher educational level were included in the United Kingdom study, which might be lower the prevalence of cognitive impairment.…”

Section: Discussioncontrasting

confidence: 82%

“…This could be due to the effect of neuronal toxic waste product accumulation in blood as glomerular filtration decreases. Specifically, increased [45][46][47] Anemia which is common in CKD patients was associated with tissue hypoxia and decreased oxygen delivery to the brain which might lead to cognitive impairment. Erythropoietin is a neuroprotective agent so, its decrement in CKD patents might lead to the exposure of neurons to a neurotoxic substance.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Cognitive Impairment and Associated Factors Among Chronic Kidney Disease Patients: A Comparative Cross-Sectional Study

Gela¹,

Getu²,

Adane³

et al. 2021

NDT

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Background: Cognitive impairment is one of the public health problems affecting 50 million people in the world. Chronic kidney disease (CKD) patients are at high risk to develop cognitive impairment which leads to poor quality of life, difficulty in adhering to medications, increased risk of mortality, and health resource utilization. However, there is no study done on the prevalence of cognitive impairment and associated factors among chronic kidney disease patients in Ethiopia. Objective: This study aimed to assess the prevalence of cognitive impairment and associated factors among chronic kidney disease patients at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals in 2020, Northwest Ethiopia, 2020. Methods: An institution-based comparative cross-sectional study was conducted at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals in 2020. A systematic random sampling technique was used to select the study participants. Data were collected using standard tools. Data were checked for its completeness and entered into Epi data version 3.0 then exported into STATA 14. Multi-variable logistic regression analysis was employed to identify associated factors of cognitive impairment among CKD patients, and variables having a p-value of ≤0.05 were declared as significant. Results: In this study, 116 CKD patients and 116 age, sex, and educational level matched controls were included with a response rate of 100%. The prevalence of cognitive impairment was 49.1% [95% CI (40%, 58.3%)] among CKD patients and 28.4% [95% CI (20.9%, 37.5%)] among controls. Independent predictors of cognitive impairment among CKD patients were estimated glomerular filtration (eGFR) <60mL/min/m 2 [AOR=3.9, 95% CI (1.1-14.74)], proteinuria [AOR=6.0, 95% 3)], age greater than 65 years [AOR=4.0, 95% CI (1.12-14.64)], and educational level of grade 8 and less [AOR= 4.7,]. Conclusion:The prevalence of cognitive impairment among CKD patients was higher than healthy controls. Cognitive impairment was higher among CKD patients with eGFR <60mL/ min/m 2 , proteinuria, educational level of grade 8 and less, and age greater than 65 years. Therefore, there is a need to have a regular evaluation and follow-up of CKD patients for cognitive impairment.

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Section: Discussioncontrasting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Cognitive Impairment and Associated Factors Among Chronic Kidney Disease Patients: A Comparative Cross-Sectional Study

Gela¹,

Getu²,

Adane³

et al. 2021

NDT

View full text Add to dashboard Cite

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“…The results of clinical and modeling demonstrate that Deep learning assisted signal processing [26] has significant positive effects on on-line data visualization as shown in the Figure. 9. The readability of all algorithms and the dialysis calculation are greatly improved.…”

Section: A Dialysis Estimation Resultsmentioning

confidence: 92%

Notice of Violation of IEEE Publication Principles: Computational Model of Protein-Bound Uremic Toxins Kinetics During Hemodialysis and Dose Evaluation of Accurate Dialysis Using Deep Learning Techniques

Huang

2020

IEEE Access

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The protein-bound uremic toxins (PBUT), evolving to avoid conventional hemodialysis, decreases the toxin-free dissemination by a higher degree of binding of proteins, in turn increasing the dialyzer redirected membranes from it. Therefore, PBUT kinetics mechanical understanding can open ways of improving dialytic removal. A robust PBUT kinetic model has been developed, which consists of the various levels of compartment and dialyzer. This model represents a dynamic balance between protein, toxin and complex protein toxins. Further, this model has been calibrated and validated through literature, clinical evidence and studies is presented in this paper with numerical results. This anticipates key aspects of PBUT kinetic, which includes free and binding PBUT concentration profiles, where the dialytic variance PBUT has the elimination of dialysis rate effect. A popular Deep learning (DL) integrated PBUT kinetic model has been used in the elimination of non-dialysis dose evaluation conditions. The new DL-PBUT algorithm removes interruptions, helps to estimate the dialysis quality parameter (MR/Y), online with considerable precision with minimized delay and more efficiently than the known algorithms. The test results have been computed for various datasets which has been analyzed from the patients at lab scale shows promising outcomes. INDEX TERMS Deep learning, uremic toxins, kinetic, complex protein toxins, clinical evidence.

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“…Holanda60,61 , Alemanha62,63 , França64 e Grécia65 ). No Brasil temos 8% dos estudos[66][67][68][69][70] . Com menor frequência, 2% destes no Canadá71 , 2% em Israel 72 e 2% no México73 .…”

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“…Com menor frequência, 2% destes no Canadá71 , 2% em Israel 72 e 2% no México73 . 23%)29,30,36,48,49,52,54,60,68,69 comparado ao número de estudos originais. Os estudos transversais são maioria (40%)32-34,37,39,41,42,44,51,53,55,57- 59,63,65,66 , seguidos pelo de coorte, vale ressaltar que dentre estes, vários são aninhados, ou seja, há uma grande coorte "guarda-chuva" e nela são incluídas diversas perguntas (31%)17,27,38,40,43,46,47,50,56,61,62,64,[70][71][72][73] , experimentais com 4%31,35 e caso-controle 2%45 .…”

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Disfunção cognitiva em doença renal crônica pré-dialítica: uma revisão sistemática

Pires¹,

Paula²,

Ezequiel³

et al. 2021

Rev Neurocienc

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Introdução. No Brasil, a população com mais de 65 anos pode chegar a 25,5%, em 2060. Com o envelhecimento populacional ocorre um aumento da prevalência das doenças degenerativas, dentre as quais o comprometimento cognitivo (CC). Impacto semelhante é observado na doença renal crônica (DRC). Existem fatores fisiopatológicos comuns entre a DRC e o CC. Dentre pacientes com DRC, até 38% apresentam CC. Em relação à fisiopatologia das alterações cognitivas na DRC, os achados são controversos. Objetivo. Avaliar os estudos relacionados à disfunção cognitiva na população com DRC pré-dialítica. Método. Utilizamos as estratégias PRISMA. Selecionamos os unitermos “renal insufficiency, chronic” and “cognitive disfunction”, realizamos a revisão sistemática e não meta-análise dada a disparidade dos estudos. Utilizamos as bases de dados disponíveis de forma gratuita: PubMed, Scielo. A seleção dos artigos foi realizada por dois pesquisadores. Critérios de inclusão: apresentar resumo em língua portuguesa, inglesa, espanhola ou francesa; incluir pacientes em pré-diálise; utilizar avaliações clínicas e/ou laboratoriais e/ou de imagens. Resultados. Encontramos 116 artigos e avaliamos 51. Conclusão. O CC é frequente na DRC e a etiologia permanece em discussão. A maioria dos estudos é derivada de dados secundários de grandes coortes ou estudos transversais. Os instrumentos clínicos mais utilizados são o MEEM e o MoCA e de neuroimagem, a ressonância magnética. Poucos estudos avaliam a inflamação e as toxinas urêmicas. Os mecanismos do CC na DRC são diversos, nem sempre correlacionados, existindo uma grande lacuna no melhor entendimento da associação fisiopatológica destas duas importantes morbidades.

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The specific impact of uremic toxins upon cognitive domains: a review

Cited by 17 publications

References 71 publications

Cognitive Impairment and Associated Factors Among Chronic Kidney Disease Patients: A Comparative Cross-Sectional Study

Cognitive Impairment and Associated Factors Among Chronic Kidney Disease Patients: A Comparative Cross-Sectional Study

Notice of Violation of IEEE Publication Principles: Computational Model of Protein-Bound Uremic Toxins Kinetics During Hemodialysis and Dose Evaluation of Accurate Dialysis Using Deep Learning Techniques

Disfunção cognitiva em doença renal crônica pré-dialítica: uma revisão sistemática

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