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Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients

Jasmine Ion Titapiccolo, Manuela Ferrario, Sergio Cerutti, Carlo Barbieri, Flavio Mari, Emanuele Gatti, Maria Gabriella Signorini
2013 Expert systems with applications  
The aim of this study is to develop forecast models that can predict the cardiovascular outcome of incident hemodialysis (HD) patients.  ...  A greater understanding of the mechanisms involved in the insurgence of cardiovascular events in dialysis patients can ensure physicians to intervene in the appropriate manner when a high-risk cardiovascular  ...  impairment in incident hemodialysis patients.  ... 
doi:10.1016/j.eswa.2013.02.005 fatcat:7uw6gnxsqjadfjxvjtfhkgnghq

Dialysis-induced cardiovascular and multiorgan morbidity

Bernard Canaud, Jeroen P. Kooman, Nicholas M. Selby, Maarten W. Taal, Susan Francis, Andreas Maierhofer, Pascal Kopperschmidt, Allan Collins, Peter Kotanko
2020 Kidney International Reports  
In this context, several factors resulting from patient-hemodialysis interaction and/or patient management have been identified.  ...  Although poor outcomes may reflect advanced age and comorbid conditions, hemodialysis per se may harm patients, contributing to morbidity and perhaps mortality.  ...  AA, amino acids; AI, artificial intelligence; CVD, cardiovascular disease; IWAK, implantable and wearable artificial kidney; RRT, renal replacement therapy; Vit, vitamins; WAK, wearable artificial kidney  ... 
doi:10.1016/j.ekir.2020.08.031 pmid:33163709 pmcid:PMC7609914 fatcat:6bt7g7weo5cptb3drt4jyz47he

Role of Artificial Intelligence in Kidney Disease

Qiongjing Yuan, Haixia Zhang, Tianci Deng, Shumei Tang, Xiangning Yuan, Wenbin Tang, Yanyun Xie, Huipeng Ge, Xiufen Wang, Qiaoling Zhou, Xiangcheng Xiao
2020 International Journal of Medical Sciences  
Artificial intelligence (AI), as an advanced science technology, has been widely used in medical fields to promote medical development, mainly applied to early detections, disease diagnoses, and management  ...  Owing to the huge number of patients, kidney disease remains a global health problem. Challenges remain in its diagnosis and treatment.  ...  It is critical to identify the risk factors to stratify DKD risk to improve patient management.  ... 
doi:10.7150/ijms.42078 pmid:32308551 pmcid:PMC7163364 fatcat:bh5zsn5sbjdgxnrejxb53p6wui

Bilirubin Links HO-1 and UGT1A1*28 Gene Polymorphisms to Predict Cardiovascular Outcome in Patients Receiving Maintenance Hemodialysis

Yang Ho, Tzen-Wen Chen, Tung-Po Huang, Ying-Hwa Chen, Der-Cherng Tarng
2021 Antioxidants  
disease (CVD) in hemodialysis patients.  ...  Compared with patients in Group 3, individuals among Groups 1 and 2 had significantly lower risks for CVD events (adjusted hazard ratios (aHRs) of 0.35 for Group 1 and 0.63 for Group 2), respectively.  ...  Conflicts of Interest: The authors have no conflicts of interest to declare. The results presented in this article have not been published previously in whole or part, except in abstract format.  ... 
doi:10.3390/antiox10091403 pmid:34573035 pmcid:PMC8470468 fatcat:5tivhmka7fhfzarv2d4576deoa

Using Artificial Intelligence Resources in Dialysis and Kidney Transplant Patients: A Literature Review

Alexandru Burlacu, Adrian Iftene, Daniel Jugrin, Iolanda Valentina Popa, Paula Madalina Lupu, Cristiana Vlad, Adrian Covic
2020 BioMed Research International  
The purpose of this review is to depict current research and impact of artificial intelligence/machine learning (AI/ML) algorithms on dialysis and kidney transplantation.  ...  We identified 43 trials in the first group, 8 in the second, and 18 in the third. Then, studies were classified according to the type of algorithm. Results.  ...  Supplemental Table 2 : short description and results of the studies involving AI in PD.  ... 
doi:10.1155/2020/9867872 pmid:32596403 pmcid:PMC7303737 fatcat:xtqwjydqnzaezicg56zrwekl4q

A Joint Evaluation of Impaired Cardiac Sympathetic Responses and Malnutrition-Inflammation Cachexia for Mortality Risks in Hemodialysis Patients

Jia-Feng Chang, Chang-Chin Wu, Chih-Yu Hsieh, Yen-Yao Li, Ting-Ming Wang, Jian-Chiun Liou
2020 Frontiers in Medicine  
We aim to evaluate the joint effect of CSR and MIS on all-cause and cardiovascular (CV) mortality in patients with hemodialysis (HD).  ...  calculator should be developed in the artificial intelligence-based prediction of clinical events.  ...  INTRODUCTION Interest is increasing rapidly in the application of non-invasive monitoring systems and artificial intelligence (AI)-based decision support technologies to predict clinical events in patients  ... 
doi:10.3389/fmed.2020.00099 pmid:32292788 pmcid:PMC7135880 fatcat:con5xum6und6diw6fcbnveqgdy

Low 25-Hydroxyvitamin D Levels and Cognitive Impairment in Hemodialysis Patients

K. Shaffi, H. Tighiouart, T. Scott, K. Lou, D. Drew, D. Weiner, M. Sarnak
2013 American Society of Nephrology. Clinical Journal  
In linear regression models, 25(OH)D was the exposure variable; it was used first as a continuous variable and then stratified as deficient (,12 ng/ml), insufficient (12 to ,20 ng/ml), and sufficient (  ...  and objectives 25-hydroxyvitamin D (25[OH]D) deficiency and cognitive impairment are both prevalent in hemodialysis patients in the United States.  ...  Acknowledgments We would like to acknowledge the tremendous assistance of Dialysis Clinic, Inc. and, in particular, the staff and patients at the five DCI units in the Boston area and St.  ... 
doi:10.2215/cjn.10651012 pmid:23449769 pmcid:PMC3675858 fatcat:juwpksl6gfh2hg7redwak36qnm

Innovation strategies in CKD prevention and treatment – challenges, opportunities and sharing best practice

M. Kolesnyk
2019 Український Журнал Нефрології та Діалізу  
Chronic kidney disease (CKD) is a global public health problem, with cardiovascular disease being the major cause of mortality in these patients.  ...  The challenge that clinicians now face is to search for CKD, to manage it aggressively, to evaluate novel means of detecting CKD and to expand the therapeutic strategies for patients with CKD.  ...  improved understanding of pathobiology and stratifying patients based on risk; treatment options for CKD and comorbidities, and how best to address physical and emotional symptoms; and optimal models of  ... 
doi:10.31450/ukrjnd.1(61).2019.01 fatcat:42xo4ki6r5dwfa7567wjpajpl4

Outcome of acute kidney injury: how to make a difference?

Matthieu Jamme, Matthieu Legrand, Guillaume Geri
2021 Annals of Intensive Care  
Due to its short- and long-term impact, measures to prevent AKI and limit the consequences of AKI are expected to improve global outcomes of patients suffering from critical illnesses.  ...  In addition to the well-known immediate complications (hydroelectrolytic disorders, hypervolemia, drug overdose), the occurrence of long-term complications and/or chronic comorbidities related to AKI has  ...  Perspectives on AKI research: an incredible playground in terms of epidemiology, basic science, and translational research In recent years, due to the generalization of big databases, artificial intelligence  ... 
doi:10.1186/s13613-021-00849-x pmid:33856581 pmcid:PMC8050180 fatcat:su3inwlncfbipnwvdcjkxjmngy

Measuring Heart Rate Variability in Patients Admitted with ST-Elevation Myocardial Infarction for the Prediction of Subsequent Cardiovascular Events: A Systematic Review

Crischentian Brinza, Mariana Floria, Adrian Covic, Alexandru Burlacu
2021 Medicina  
Thus, we systematically reviewed the literature to investigate the association of HRV parameters with mortality and adverse cardiovascular events in patients presenting with ST-elevation myocardial infarction  ...  More and larger clinical trials are required to validate these findings in contemporary patients with STEMI in the context of the new generation of drug-eluting stents and current antithrombotic and risk-modifying  ...  Furthermore, HRV could be incorporated in future risk stratification computational models based on artificial intelligence to increase accuracy.  ... 
doi:10.3390/medicina57101021 pmid:34684058 fatcat:bxbwujamuzdmlnu3ole2e5suki

The eye, the kidney & cardiovascular disease: old concepts, better tools & new horizons

Tariq E. Farrah, Baljean Dhillon, Pearse A. Keane, David J. Webb, Neeraj Dhaun
2020 Kidney International  
There is an urgent need for more precise methods to identify patients at risk of CKD and cardiovascular disease.  ...  Retinal vessel-derived metrics predict incident hypertension, diabetes, CKD, and cardiovascular disease and add to the current renal and cardiovascular risk stratification tools.  ...  of artificial intelligence in health care, is an exciting field in itself.  ... 
doi:10.1016/j.kint.2020.01.039 pmid:32471642 pmcid:PMC7397518 fatcat:ogno2qf7pvhqdkfkogc7punlki

Artificial Intelligence for Risk Prediction of End-Stage Renal Disease in Sepsis Survivors with Chronic Kidney Disease

Kuo-Hua Lee, Yuan-Chia Chu, Ming-Tsun Tsai, Wei-Cheng Tseng, Yao-Ping Lin, Shuo-Ming Ou, Der-Cherng Tarng
2022 Biomedicines  
Sepsis may lead to kidney function decline in patients with chronic kidney disease (CKD), and the deleterious effect may persist in patients who survive sepsis.  ...  We used a machine learning approach to predict the risk of end-stage renal disease (ESRD) in sepsis survivors.  ...  The application of artificial intelligence (AI) in the early prediction and risk stratification of AKI has attracted considerable research attention.  ... 
doi:10.3390/biomedicines10030546 pmid:35327348 pmcid:PMC8945427 fatcat:i2fzrne7tjb7hddxxsbvkhjnru

Cycles, Arrows and Turbulence: Time Patterns in Renal Disease, a Path from Epidemiology to Personalized Medicine?

Jeroen P. Kooman, Len A. Usvyat, Marijke J.E. Dekker, Dugan W. Maddux, Jochen G. Raimann, Frank M. van der Sande, Xiaoling Ye, Yuedong Wang, Peter Kotanko
2018 Blood Purification  
Seasonal variations in BP and interdialytic-weight gain have been observed in ESRD patients in addition to a profound relative increase in mortality during the winter period.  ...  hemodialysis (HD).  ...  The authors however fully agree with the statement of Chen and Asch [83] that future models based on artificial intelligence should always be used as an aid to, but not as a replacement of the clinical  ... 
doi:10.1159/000494827 fatcat:ye373x6razbrjh7f7mmjc5adlq

U10: Dialysis: miscellaneous

2000 Nephrology, Dialysis and Transplantation  
The incidence of seroconversion to HCV was 12.was probably due to the nosocomial infection being in the incubation period at the time of isolation.  ...  Hepatitis C virus (HCV) infection in hemodialysis patients can be transmitted by transfusions and nosocomially.  ...  The aim of this study was to analyze the influence of several parameters on the mortality risk (MR) in a population on CHD with the use of an artificial intelligence technique called Self-Organized Maps  ... 
doi:10.1093/ndt/15.9.a201 fatcat:qnxnfzocyve6tmnqgjmuetgeva

Clinical Applications of Artificial Intelligence—An Updated Overview

Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, George E. D. Petrescu, Dan Nicolae Păduraru, Iulian Năstasă, Mircea Lupușoru, Marius Geantă, Octavian Andronic, Alexandru Mihai Grumezescu, Henrique Martins
2022 Journal of Clinical Medicine  
Artificial intelligence has the potential to revolutionize modern society in all its aspects.  ...  Moreover, a diverse repertoire of methods can be chosen towards creating performant models for use in medical applications, ranging from disease prediction, diagnosis, and prognosis to opting for the most  ...  The use of a DCNN led to encouraging results, paving the way for further advances in understanding the disease heterogeneity in NASH, risk stratifying the affected patients, and facilitating the development  ... 
doi:10.3390/jcm11082265 pmid:35456357 pmcid:PMC9031863 fatcat:mtzdrc7nyzgbjeyou3h4cuso7a
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