Results 261 to 270 of about 299,030 (338)

Machine Learning‐Based Prediction of Life‐Threatening Complications During Hemodialysis in Hospitalized Patients With Poor General Conditions

Artificial Organs, EarlyView.
A machine learning model using predialysis data predicted sudden events during or after hemodialysis with high accuracy (auROC: 0.889). The key predictors included emergency hospitalization, recent surgery, high heart rate, low albumin levels, and high CRP.
Naotaka Kato, Takeshi Goto, Tomoyuki Ohira, Hirotaka Kinoshita, Kugo Kurokawa, Kouhei Naganuma, Chikako Ohminato, Junko Ogasawara, Shingo Hatakeyama, Yoshihiro Sasaki, Kazuyoshi Hirota, Chikara Ohyama   +11 more
wiley   +1 more source

Acute renal cortical necrosis following postpartum hemorrhage - successful discontinuation of peritoneal dialysis: A case report. [PDF]

Clin Nephrol Case Stud
Fukushima C, Koga K, Hasebe M, Omiya C, Nishioka K, Yahata K.   +5 more
europepmc   +1 more source

Integrating Dialysis in Ex Situ Machine Perfusion: A Systematic Review and Meta‐Analysis of Outcomes

Artificial Organs, EarlyView.
Dialysis‐enhanced EVMP effectively maintains biochemical homeostasis, potentially mitigating metabolic stress and extending perfusion duration. Functional outcomes varied depending on the organ type, with the most pronounced benefits observed in cardiac perfusion.
Yomna E. Dean, Sean Frisbie, James Gaston, Diwakar Phuyal, Bahareh Tabatabaei, Florian Huwyler, Matthias Pfister, Jonas Binz, Antonio Rampazzo, Gábor Szabó, Mark W. Tibbit, Pierre‐Alain Clavien, Bahar Bassiri Gharb   +12 more
wiley   +1 more source

Indications and complications of peritoneal dialysis in children with acute renal failure, a single center experience

, 2016
Nariman Fahmi Ahmed Azat
openalex   +2 more sources

Quantitative computed tomography in interstitial lung disease related to ANCA‐associated vasculitis: First insights from a mono‐centric retrospective cohort

Rheumatology &Autoimmunity, EarlyView.
Alarico Ariani, Mario Silva, Giovanni M. Rossi, Marco Delsante, Andrea Becciolini, Enrico Fiaccadori, Augusto Vaglio, Nicola Sverzellati   +7 more
wiley   +1 more source

Optimizing Donor Kidneys During Normothermic Machine Perfusion With Sevoflurane: Design of a Research Model

Artificial Organs, EarlyView.
A stable kidney normothermic machine perfusion model with sevoflurane delivery via a vaporizer was established, enabling mechanistic and therapeutic studies of ischemia–reperfusion injury. ABSTRACT Normothermic machine perfusion (NMP) of donor kidneys provides an opportunity not only for organ preservation but also for therapeutic intervention to ...
Philip N. Günkel, Shuqi Yang, Rozemarijn S. Tuinhout, Sebastiaan J. Luttik, Roland F. Hoffmann, Petra J. Ottens, Damien Richard, Matthieu Jabaudon, Michel M. R. F. Struys, Henri G. D. Leuvenink, Gertrude J. Nieuwenhuijs‐Moeke   +10 more
wiley   +1 more source

Assessment of Appropriate Prescribing in Maintenance Haemodialysis and Comparison of Prescribing Patterns Between State- and Privately-Funded Patients: A Retrospective Review. [PDF]

Hosp Pharm
Kampanza M, Verbeeck RK, Jonkman L, Mubita M.   +3 more
europepmc   +1 more source

Non catheter-related bacteremia caused by Pseudomonas oryzihabitans in an adolescent with chronic renal failure undergoing peritoneal dialysis.

, 2012
Theodoros Karampatakis, A Sevastidou, Eleni Argyropoulou, Nikoleta Printza, Maria Tsivitanidou, E Siaka   +5 more
openalex   +1 more source

Trace elements in children with pre-dialysis and end-stage renal disease [PDF]

Asmaa Alsalam, Ruaa H. Ali, Haider Hussain, Montadher Ali Mahdi   +3 more
openalex   +1 more source

Optimizing Prolonged (6 h) Normothermic Machine Perfusion of Donor Kidneys (PROPER Study)

Artificial Organs, EarlyView.
Prolonged ex situ normothermic machine perfusion of donor kidneys up to 6 h is feasible, maintaining viability and histological integrity. Key protocol optimizations include fresh red blood cells, albumin supplementation, and urine recirculation—laying the groundwork for assessment and potential pretransplant interventions in future clinical trials ...
Asel S. Arykbaeva, Veerle A. Lantinga, L. Leonie van Leeuwen, Marten Engelse, Ton J. Rabelink, Jesper Kers, Jason B. Doppenberg, Volkert A. L. Huurman, Robert A. Pol, Robert C. Minnee, Henri G. D. Leuvenink, Rutger J. Ploeg, Cyril Moers, Dorottya K. de Vries, Ian P. J. Alwayn   +14 more
wiley   +1 more source