Virtual Pharmacy: An Integrated Collaborative Redesign Targeting Medication-related Problems in Patients with Chronic Kidney Disease
CONCLUSIONS: The iVRx is an acceptable and feasible clinical strategy. Our pilot program was associated with improved kidney care by increasing medication access for patients and avoiding potential harms associated with ADEs.PMID:37939689 | DOI:10.1159/000535094 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - November 8, 2023 Category: Urology & Nephrology Authors: Stephanie W Ong Abhijat Kitchlu David Z I Cherney Karen Leung Christopher T M Chan Source Type: research
Virtual Pharmacy: An Integrated Collaborative Redesign Targeting Medication-related Problems in Patients with Chronic Kidney Disease
CONCLUSIONS: The iVRx is an acceptable and feasible clinical strategy. Our pilot program was associated with improved kidney care by increasing medication access for patients and avoiding potential harms associated with ADEs.PMID:37939689 | DOI:10.1159/000535094 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - November 8, 2023 Category: Urology & Nephrology Authors: Stephanie W Ong Abhijat Kitchlu David Z I Cherney Karen Leung Christopher T M Chan Source Type: research
Proton pump inhibitors and hyporesponsiveness to erythropoiesis stimulating agents in hemodialysis patients: results from the Japan Dialysis Outcomes and Practice Patterns Study
Conclusions This study showed the associations between PPI and ERI, ESA dose, and TSAT in hemodialysis patients; physicians should consider anemia's associations with PPIs in hemodialysis patients.PMID:37935135 | DOI:10.1159/000534701 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - November 7, 2023 Category: Urology & Nephrology Authors: Akio Nakashima Yoshia Miyawaki Hirotaka Komaba Noriaki Kurita Yoshihiro Onishi Takashi Yokoo Masafumi Fukagawa Source Type: research
Proton pump inhibitors and hyporesponsiveness to erythropoiesis stimulating agents in hemodialysis patients: results from the Japan Dialysis Outcomes and Practice Patterns Study
Conclusions This study showed the associations between PPI and ERI, ESA dose, and TSAT in hemodialysis patients; physicians should consider anemia's associations with PPIs in hemodialysis patients.PMID:37935135 | DOI:10.1159/000534701 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - November 7, 2023 Category: Urology & Nephrology Authors: Akio Nakashima Yoshia Miyawaki Hirotaka Komaba Noriaki Kurita Yoshihiro Onishi Takashi Yokoo Masafumi Fukagawa Source Type: research
Urinary Post-Translationally Modified Fetuin-A Protein is Associated with Increased Risk of Graft Failure in Kidney Transplant Recipients
CONCLUSIONS: Our findings suggest that uPTM-FetA can be used as a marker for early detection of graft failure in KTR. Further studies are needed to confirm our findings.PMID:37931608 | DOI:10.1159/000534829 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - November 6, 2023 Category: Urology & Nephrology Authors: Firas F Alkaff Daan Kremer Charlotte A Te Velde-Keyzer Jacob van den Born Stefan P Berger Gozewijn D Laverman Lee-Ming Chuang Tzu-Ling Tseng Stephan J L Bakker Source Type: research
Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease
CONCLUSION: XGBoost accurately predicted AKI as early as 12 hours before onset in hospitalized SCD patients and may enable the development of innovative prevention strategies.PMID:37906980 | DOI:10.1159/000534864 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - October 31, 2023 Category: Urology & Nephrology Authors: Rima S Zahr Akram Mohammed Surabhi Naik Daniel Faradji Kenneth I Ataga Jeffrey Lebensburger Robert L Davis Source Type: research
Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease
CONCLUSION: XGBoost accurately predicted AKI as early as 12 hours before onset in hospitalized SCD patients and may enable the development of innovative prevention strategies.PMID:37906980 | DOI:10.1159/000534864 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - October 31, 2023 Category: Urology & Nephrology Authors: Rima S Zahr Akram Mohammed Surabhi Naik Daniel Faradji Kenneth I Ataga Jeffrey Lebensburger Robert L Davis Source Type: research
Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease
CONCLUSION: XGBoost accurately predicted AKI as early as 12 hours before onset in hospitalized SCD patients and may enable the development of innovative prevention strategies.PMID:37906980 | DOI:10.1159/000534864 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - October 31, 2023 Category: Urology & Nephrology Authors: Rima S Zahr Akram Mohammed Surabhi Naik Daniel Faradji Kenneth I Ataga Jeffrey Lebensburger Robert L Davis Source Type: research
Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease
CONCLUSION: XGBoost accurately predicted AKI as early as 12 hours before onset in hospitalized SCD patients and may enable the development of innovative prevention strategies.PMID:37906980 | DOI:10.1159/000534864 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - October 31, 2023 Category: Urology & Nephrology Authors: Rima S Zahr Akram Mohammed Surabhi Naik Daniel Faradji Kenneth I Ataga Jeffrey Lebensburger Robert L Davis Source Type: research
Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease
CONCLUSION: XGBoost accurately predicted AKI as early as 12 hours before onset in hospitalized SCD patients and may enable the development of innovative prevention strategies.PMID:37906980 | DOI:10.1159/000534864 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - October 31, 2023 Category: Urology & Nephrology Authors: Rima S Zahr Akram Mohammed Surabhi Naik Daniel Faradji Kenneth I Ataga Jeffrey Lebensburger Robert L Davis Source Type: research
Machine Learning Predicts Acute Kidney Injury in Hospitalized Patients with Sickle Cell Disease
CONCLUSION: XGBoost accurately predicted AKI as early as 12 hours before onset in hospitalized SCD patients and may enable the development of innovative prevention strategies.PMID:37906980 | DOI:10.1159/000534864 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - October 31, 2023 Category: Urology & Nephrology Authors: Rima S Zahr Akram Mohammed Surabhi Naik Daniel Faradji Kenneth I Ataga Jeffrey Lebensburger Robert L Davis Source Type: research
Study Design and Baseline Characteristics for Aldosterone Synthase Inhibition in CKD
CONCLUSION: This study will inform dose selection for further clinical development and determine whether BI 690517, with or without background empagliflozin, has a favorable safety profile and potential for additive kidney protection in participants with CKD already treated with a renin-angiotensin system inhibitor.PMID:37903483 | DOI:10.1159/000534808 (Source: American Journal of Nephrology)
Source: American Journal of Nephrology - October 30, 2023 Category: Urology & Nephrology Authors: Katherine R Tuttle Peter Rossing Sibylle J Hauske Lisa Cronin Joanna Hussain Dick de Zeeuw Hiddo J L Heerspink Source Type: research
Sickle Cell Disease and CKD: An Update
Am J Nephrol. 2023 Oct 27. doi: 10.1159/000534865. Online ahead of print.ABSTRACTBACKGROUND: Sickle cell disease is an inherited red blood cell disorder that affects approximately 100,000 people in the U.S. and 25 million people worldwide. Vaso-occlusion and chronic hemolysis lead to dysfunction to vital organ systems, with the kidneys being among the most commonly affected organs.SUMMARY: Early renal manifestations include medullary ischemia with loss of urine concentrating ability and hyperfiltration. This can be followed by progressive damage characterized by persistent albuminuria and a decline in the estimated glomeru...
Source: American Journal of Nephrology - October 29, 2023 Category: Urology & Nephrology Authors: Rima S Zahr Santosh Saraf Source Type: research
Sickle Cell Disease and CKD: An Update
Am J Nephrol. 2023 Oct 27. doi: 10.1159/000534865. Online ahead of print.ABSTRACTBACKGROUND: Sickle cell disease is an inherited red blood cell disorder that affects approximately 100,000 people in the U.S. and 25 million people worldwide. Vaso-occlusion and chronic hemolysis lead to dysfunction to vital organ systems, with the kidneys being among the most commonly affected organs.SUMMARY: Early renal manifestations include medullary ischemia with loss of urine concentrating ability and hyperfiltration. This can be followed by progressive damage characterized by persistent albuminuria and a decline in the estimated glomeru...
Source: American Journal of Nephrology - October 29, 2023 Category: Urology & Nephrology Authors: Rima S Zahr Santosh Saraf Source Type: research
Biomarker Enrichment in Sepsis Associated Acute Kidney Injury: Finding High-Risk Patients in the ICU
Am J Nephrol. 2023 Oct 16. doi: 10.1159/000534608. Online ahead of print.ABSTRACT Abstract: Background: Sepsis associated Acute kidney injury (AKI) is a leading comorbidity in admissions to the intensive care unit. While a gold standard definition exists, it remains imperfect and does not allow for the timely identification of patients in the setting of critical illness. This review will discuss the use of biochemical and electronic biomarkers to allow for prognostic and predictive enrichment of patients with sepsis associated AKI over and above the use of serum creatinine and urine output. Summary: Current data suggest th...
Source: American Journal of Nephrology - October 16, 2023 Category: Urology & Nephrology Authors: Louis Baeseman Samantha Gunning Jay L Koyner Source Type: research
