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Therapy: Dialysis
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Total 20786 results found since Jan 2013.
Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair
CONCLUSIONS: In this data set, machine learning was able to predict 1-year mortality following EVAR using preoperative data and outperformed standard logistic regression models.PMID:37710397 | DOI:10.1093/bjs/znad287
Source: The British Journal of Surgery - September 15, 2023 Category: Surgery Authors: Ben Li Badr Aljabri Raj Verma Derek Beaton Naomi Eisenberg Douglas S Lee Duminda N Wijeysundera Thomas L Forbes Ori D Rotstein Charles de Mestral Muhammad Mamdani Graham Roche-Nagle Mohammed Al-Omran Source Type: research
Renal outcomes in older adults with antineutrophil cytoplasmic autoantibody-associated vasculitis: a new prediction model
CONCLUSION: We established a risk-scoring system based on baseline clinical characteristics to predict composite renal outcomes in patients with AAV. Our results suggest that more attention should be paid to older patients with severe renal impairment and active inflammation.PMID:37708862 | DOI:10.1159/000533512
Source: American Journal of Nephrology - September 14, 2023 Category: Urology & Nephrology Authors: Shuo Zhang Xin Chen Zuoxian Hou Peng Xia Xiaoxiao Shi Haiting Wu Yubing Wen Yan Qin Xinping Tian Limeng Chen Source Type: research
Development and validation of AI-based triage support algorithms for prevention of intradialytic hypotension
CONCLUSIONS: Recurrent symptomatic intradialytic hypotension could be reliably and accurately predicted using routinely collected data during dialysis treatment and standard clinical care. Clinical application of these prediction models would allow for personalized risk-based interventions for preventing and managing intradialytic hypotension.PMID:37707692 | DOI:10.1007/s40620-023-01741-6
Source: Journal of Nephrology - September 14, 2023 Category: Urology & Nephrology Authors: Federica Gervasoni Francesco Bellocchio Jaroslav Rosenberger Otto Arkossy Jasmine Ion Titapiccolo Vratislava Kovarova John Larkin Milind Nikam Stefano Stuard Giovanni Luigi Tripepi Len A Usvyat Anke Winter Luca Neri Carmine Zoccali Source Type: research
Biobased chitosan-derived self-nitrogen-doped porous carbon nanofibers containing nitrogen-doped zeolites for efficient removal of uremic toxins during hemodialysis
This study provides a novel strategy for transforming chitosan-based materials into state-of-the-art porous carbon nanofiber/zeolite self-N-doped composites, affording an efficient bioderived adsorbent for the removal of uremic toxins in patients with chronic kidney disease.PMID:37709226 | DOI:10.1016/j.ijbiomac.2023.126880
Source: International Journal of Biological Macromolecules - September 14, 2023 Category: Biochemistry Authors: I-Hsuan Yang L ászló Szabó Makoto Sasaki Koichiro Uto Joel Henzie Feng-Huei Lin Sadaki Samitsu Mitsuhiro Ebara Source Type: research
Activated carbon derived from wood biochar for Amperometric sensing of Ammonia for early screening of chronic kidney disease
In this study, we have elucidated the functionality and usefulness of a wearable microelectronic research prototype integrated with an HTC-activated carbon @RTIL-based electrochemical sensing platform for detecting ammonia levels released from the skin as a marker for chronic kidney disease screening. By enabling early detection and monitoring, these platforms can facilitate timely interventions, such as lifestyle modifications, medication adjustments, or referral to nephrology specialists. This proactive approach can potentially slow down disease progression, minimize the need for dialysis or transplantation, and ultimate...
Source: International Journal of Biological Macromolecules - September 14, 2023 Category: Biochemistry Authors: Ivneet Banga Anirban Paul Vikram Narayanan Dhamu Annapoorna Hochihally Ramasubramanya Sriram Muthukumar Shalini Prasad Source Type: research
Renal outcomes in older adults with antineutrophil cytoplasmic autoantibody-associated vasculitis: a new prediction model
CONCLUSION: We established a risk-scoring system based on baseline clinical characteristics to predict composite renal outcomes in patients with AAV. Our results suggest that more attention should be paid to older patients with severe renal impairment and active inflammation.PMID:37708862 | DOI:10.1159/000533512
Source: American Journal of Nephrology - September 14, 2023 Category: Urology & Nephrology Authors: Shuo Zhang Xin Chen Zuoxian Hou Peng Xia Xiaoxiao Shi Haiting Wu Yubing Wen Yan Qin Xinping Tian Limeng Chen Source Type: research
Development and validation of AI-based triage support algorithms for prevention of intradialytic hypotension
CONCLUSIONS: Recurrent symptomatic intradialytic hypotension could be reliably and accurately predicted using routinely collected data during dialysis treatment and standard clinical care. Clinical application of these prediction models would allow for personalized risk-based interventions for preventing and managing intradialytic hypotension.PMID:37707692 | DOI:10.1007/s40620-023-01741-6
Source: Journal of Nephrology - September 14, 2023 Category: Urology & Nephrology Authors: Federica Gervasoni Francesco Bellocchio Jaroslav Rosenberger Otto Arkossy Jasmine Ion Titapiccolo Vratislava Kovarova John Larkin Milind Nikam Stefano Stuard Giovanni Luigi Tripepi Len A Usvyat Anke Winter Luca Neri Carmine Zoccali Source Type: research
Renal outcomes in older adults with antineutrophil cytoplasmic autoantibody-associated vasculitis: a new prediction model
CONCLUSION: We established a risk-scoring system based on baseline clinical characteristics to predict composite renal outcomes in patients with AAV. Our results suggest that more attention should be paid to older patients with severe renal impairment and active inflammation.PMID:37708862 | DOI:10.1159/000533512
Source: American Journal of Nephrology - September 14, 2023 Category: Urology & Nephrology Authors: Shuo Zhang Xin Chen Zuoxian Hou Peng Xia Xiaoxiao Shi Haiting Wu Yubing Wen Yan Qin Xinping Tian Limeng Chen Source Type: research
Biobased chitosan-derived self-nitrogen-doped porous carbon nanofibers containing nitrogen-doped zeolites for efficient removal of uremic toxins during hemodialysis
This study provides a novel strategy for transforming chitosan-based materials into state-of-the-art porous carbon nanofiber/zeolite self-N-doped composites, affording an efficient bioderived adsorbent for the removal of uremic toxins in patients with chronic kidney disease.PMID:37709226 | DOI:10.1016/j.ijbiomac.2023.126880
Source: International Journal of Biological Macromolecules - September 14, 2023 Category: Biochemistry Authors: I-Hsuan Yang L ászló Szabó Makoto Sasaki Koichiro Uto Joel Henzie Feng-Huei Lin Sadaki Samitsu Mitsuhiro Ebara Source Type: research
Activated carbon derived from wood biochar for Amperometric sensing of Ammonia for early screening of chronic kidney disease
In this study, we have elucidated the functionality and usefulness of a wearable microelectronic research prototype integrated with an HTC-activated carbon @RTIL-based electrochemical sensing platform for detecting ammonia levels released from the skin as a marker for chronic kidney disease screening. By enabling early detection and monitoring, these platforms can facilitate timely interventions, such as lifestyle modifications, medication adjustments, or referral to nephrology specialists. This proactive approach can potentially slow down disease progression, minimize the need for dialysis or transplantation, and ultimate...
Source: International Journal of Biological Macromolecules - September 14, 2023 Category: Biochemistry Authors: Ivneet Banga Anirban Paul Vikram Narayanan Dhamu Annapoorna Hochihally Ramasubramanya Sriram Muthukumar Shalini Prasad Source Type: research
Prevalence of SARS-CoV-2 infection and impact of vaccination in dialysis patients over two years of the pandemic
J Nephrol. 2023 Sep 13. doi: 10.1007/s40620-023-01754-1. Online ahead of print.NO ABSTRACTPMID:37702913 | DOI:10.1007/s40620-023-01754-1
Source: Journal of Nephrology - September 13, 2023 Category: Urology & Nephrology Authors: Paolo Hitz Alberto Pagnamenta Laura Pertusini Tatiana Terrot Yves Franzosi Jessica Bassi Chiara Silacci-Fregni Valeria Gaia Gladys Martinetti Franco Keller Lorenzo Berwert Valentina Forni Ogna Soraya Lavorato-Hadjeres Davide Giunzioni Andrea D'Ermo Alan V Source Type: research
Water and dialysis fluid purity for contemporary hemodialysis
CONCLUSION: In conclusion, the contemporary landscape of hemodialysis conditions has engendered an urgent necessity for advanced water treatment systems and optimized delivery of dialysis fluids. This review serves as a comprehensive update on the latest technological advancements aimed at meeting these critical demands. Dialysis water and fluids must adhere to increasingly stringent purity constraints, encompassing both biochemical and microbiological perspectives.PMID:37697455 | DOI:10.1111/sdi.13174
Source: Seminars in Dialysis - September 12, 2023 Category: Urology & Nephrology Authors: Bernard Canaud Rui Lucena Richard Ward Source Type: research
