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Nadim MK, Kellum JA, Forni L, Francoz C, Asrani SK, Ostermann M, Allegretti AS, Neyra JA, Olson JC, Piano S, VanWagner LB, Verna EC, Akcan-Arikan A, Angeli P, Belcher JM, Biggins SW, Deep A, Garcia-Tsao G, Genyk YS, Gines P, Kamath PS, Kane-Gill SL, Kaushik M, Lumlertgul N, Macedo E, Maiwall R, Marciano S, Pichler RH, Ronco C, Tandon P, Velez JCQ, Mehta RL, Durand F. Acute kidney injury in patients with cirrhosis: Acute Disease Quality Initiative (ADQI) and International Club of Ascites (ICA) joint multidisciplinary consensus meeting. J Hepatol 2024:S0168-8278(24)00214-9. [PMID: 38527522 DOI: 10.1016/j.jhep.2024.03.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/28/2024] [Accepted: 03/07/2024] [Indexed: 03/27/2024]
Abstract
Patients with cirrhosis are prone to developing acute kidney injury (AKI), a complication associated with a markedly increased in-hospital morbidity and mortality, along with a risk of progression to chronic kidney disease. Whereas patients with cirrhosis are at increased risk of developing any phenotype of AKI, hepatorenal syndrome (HRS), a specific form of AKI (HRS-AKI) in patients with advanced cirrhosis and ascites, carries an especially high mortality risk. Early recognition of HRS-AKI is crucial since administration of splanchnic vasoconstrictors may reverse the AKI and serve as a bridge to liver transplantation, the only curative option. In 2023, a joint meeting of the International Club of Ascites (ICA) and the Acute Disease Quality Initiative (ADQI) was convened to develop new diagnostic criteria for HRS-AKI, to provide graded recommendations for the work-up, management and post-discharge follow-up of patients with cirrhosis and AKI, and to highlight priorities for further research.
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Affiliation(s)
- Mitra K Nadim
- Division of Nephrology and Hypertension, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - John A Kellum
- Center for Critical Care Nephrology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lui Forni
- School of Medicine, University of Surrey and Critical Care Unit, Royal Surrey Hospital Guildford UK
| | - Claire Francoz
- Hepatology & Liver Intensive Care, Hospital Beaujon, Clichy, Paris, France
| | | | - Marlies Ostermann
- King's College London, Guy's & St Thomas' Hospital, Department of Critical Care, London, UK
| | - Andrew S Allegretti
- Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Javier A Neyra
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jody C Olson
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Salvatore Piano
- Unit of Internal Medicine and Hepatology, Department of Medicine - DIMED, University and Hospital of Padova, Padova, Italy
| | - Lisa B VanWagner
- Division of Digestive and Liver Diseases, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Elizabeth C Verna
- Division of Digestive and Liver Diseases, Columbia University, New York, NY, USA
| | - Ayse Akcan-Arikan
- Department of Pediatrics, Divisions of Critical Care Medicine and Nephrology, Baylor College of Medicine, Houston, TX, USA
| | - Paolo Angeli
- Unit of Internal Medicine and Hepatology, University and Teaching Hospital of Padua, Italy
| | - Justin M Belcher
- Section of Nephrology, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Scott W Biggins
- Division of Gastroenterology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Akash Deep
- Pediatric Intensive Care Unit, King's College Hospital, London, UK
| | - Guadalupe Garcia-Tsao
- Digestive Diseases Section, Yale University School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA
| | - Yuri S Genyk
- Division of Abdominal Organ Transplantation and Hepatobiliary Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Division of Abdominal Organ Transplantation at Children's Hospital of Los Angeles, Los Angeles, CA, USA
| | - Pere Gines
- Liver Unit, Hospital Clínic de Barcelona, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi-Sunyer and Ciber de Enfermedades Hepàticas y Digestivas, Barcelona, Catalonia, Spain
| | - Patrick S Kamath
- Division of Gastroenterology and Hepatology Mayo Clinic College of Medicine and Science, Rochester, MN, USA
| | - Sandra L Kane-Gill
- Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA
| | - Manish Kaushik
- Department of Renal Medicine, Singapore General Hospital, Singapore
| | - Nuttha Lumlertgul
- Excellence Centre in Critical Care Nephrology and Division of Nephrology, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Etienne Macedo
- Division of Nephrology, Department of Medicine, University of California San Diego, CA, USA
| | - Rakhi Maiwall
- Department of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India
| | | | - Raimund H Pichler
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Claudio Ronco
- International Renal Research Institute of Vicenza, Department of Nephrology, Dialysis and Transplantation, San Bortolo Hospital, Vicenza-Italy
| | - Puneeta Tandon
- Division of Gastroenterology (Liver Unit), University of Alberta, Edmonton, Alberta, Canada
| | - Juan-Carlos Q Velez
- Department of Nephrology, Ochsner Health, New Orleans, LA, USA; Ochsner Clinical School, The University of Queensland, Brisbane, QLD, Australia
| | - Ravindra L Mehta
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - François Durand
- Hepatology & Liver Intensive Care, Hospital Beaujon, Clichy, Paris, France; University Paris Cité, Paris, France.
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2
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Brar S, Ye F, James MT, Harrison TG, Pannu N. Processes of Care After Hospital Discharge for Survivors of Acute Kidney Injury: A Population-Based Cohort Study. Am J Kidney Dis 2024; 83:216-228. [PMID: 37734688 DOI: 10.1053/j.ajkd.2023.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 06/26/2023] [Accepted: 07/09/2023] [Indexed: 09/23/2023]
Abstract
RATIONALE & OBJECTIVE Survivors of acute kidney injury (AKI) are at high risk of adverse outcomes. Monitoring of kidney function, screening for proteinuria, use of statins and renin-angiotensin-aldosterone system (RAAS) inhibitors, and nephrology follow-up among survivors have not been fully characterized. We examined these processes of care after discharge in survivors of hospitalized AKI. STUDY DESIGN Population-based retrospective cohort study. SETTING & PARTICIPANTS Adults in Alberta, Canada, admitted to the hospital between 2009 and 2017, then followed from their discharge date until 2019 for a median follow-up of 2.7 years. EXPOSURE Hospital-acquired AKI diagnostically conforming to Kidney Disease: Improving Global Outcomes (KDIGO) serum creatinine criteria for stage 2 or stage 3 disease, or the need for acute dialysis. OUTCOME Outcomes after hospital discharge included the proportion of participants who had evaluation of kidney function, were seen by a specialist or general practitioner, and received postdischarge prescriptions for recommended medications for chronic kidney disease (CKD). ANALYTICAL APPROACH Cumulative incidence curves to characterize the proportion of participants who received each process of care outcome within the first 90 days and subsequent 1-year follow-up period after hospital discharge. To avoid risks associated with multiple hypothesis testing, differences were not statistically compared across groups. RESULTS The cohort (n=23,921) included 50.2% men (n=12,015) with a median age of 68.1 [IQR, 56.9-78.8] years. Within 90 days after discharge, 21.2% and 8.6% of patients with and without pre-existing CKD, respectively, were seen by a nephrologist; 60.1% of AKI survivors had at least 1 serum creatinine measured, but only 25.5% had an assessment for albuminuria within 90 days after discharge; 52.7% of AKI survivors with pre-existing CKD, and 51.6% with de novo CKD were prescribed a RAAS inhibitor within 4-15 months after discharge. LIMITATIONS Retrospective data were collected as part of routine clinical care. CONCLUSIONS The proportion of patients receiving optimal care after an episode of AKI in Alberta was low and may represent a target for improving long-term outcomes for this population. PLAIN-LANGUAGE SUMMARY A study in Alberta, Canada, examined the care received by patients with acute kidney disease (AKI) during hospitalization and after discharge between 2007 and 2019. The results showed that a low proportion of patients with moderate to severe AKI were seen by a kidney specialist during hospitalization or within 90 days after discharge. Fewer than 25% of AKI patients had their kidney function monitored with both blood and urine tests within 90 days of discharge. Additionally, about half of AKI survivors with chronic kidney disease (CKD) were prescribed guideline recommended medications for CKD within 15 months after discharge. There is potential to improve health care delivery to these patients both in hospital and after hospital discharge.
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Affiliation(s)
- Sandeep Brar
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California
| | - Feng Ye
- Department of Medicine, Division of Nephrology, University of Alberta, Edmonton, Alberta, Canada
| | - Matthew T James
- Department of Medicine, Division of Nephrology, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Tyrone G Harrison
- Department of Medicine, Division of Nephrology, University of Calgary, Calgary, Alberta, Canada; O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Neesh Pannu
- Department of Medicine, Division of Nephrology, University of Alberta, Edmonton, Alberta, Canada.
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Kashani KB, Awdishu L, Bagshaw SM, Barreto EF, Claure-Del Granado R, Evans BJ, Forni LG, Ghosh E, Goldstein SL, Kane-Gill SL, Koola J, Koyner JL, Liu M, Murugan R, Nadkarni GN, Neyra JA, Ninan J, Ostermann M, Pannu N, Rashidi P, Ronco C, Rosner MH, Selby NM, Shickel B, Singh K, Soranno DE, Sutherland SM, Bihorac A, Mehta RL. Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup. Nat Rev Nephrol 2023; 19:807-818. [PMID: 37580570 DOI: 10.1038/s41581-023-00744-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2023] [Indexed: 08/16/2023]
Abstract
Acute kidney injury (AKI), which is a common complication of acute illnesses, affects the health of individuals in community, acute care and post-acute care settings. Although the recognition, prevention and management of AKI has advanced over the past decades, its incidence and related morbidity, mortality and health care burden remain overwhelming. The rapid growth of digital technologies has provided a new platform to improve patient care, and reports show demonstrable benefits in care processes and, in some instances, in patient outcomes. However, despite great progress, the potential benefits of using digital technology to manage AKI has not yet been fully explored or implemented in clinical practice. Digital health studies in AKI have shown variable evidence of benefits, and the digital divide means that access to digital technologies is not equitable. Upstream research and development costs, limited stakeholder participation and acceptance, and poor scalability of digital health solutions have hindered their widespread implementation and use. Here, we provide recommendations from the Acute Disease Quality Initiative consensus meeting, which involved experts in adult and paediatric nephrology, critical care, pharmacy and data science, at which the use of digital health for risk prediction, prevention, identification and management of AKI and its consequences was discussed.
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Affiliation(s)
- Kianoush B Kashani
- Division of Nephrology and Hypertension, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Linda Awdishu
- Clinical Pharmacy, San Diego Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada
| | | | - Rolando Claure-Del Granado
- Division of Nephrology, Hospital Obrero No 2 - CNS, Cochabamba, Bolivia
- Universidad Mayor de San Simon, School of Medicine, Cochabamba, Bolivia
| | - Barbara J Evans
- Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Lui G Forni
- Department of Critical Care, Royal Surrey Hospital NHS Foundation Trust & Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK
| | - Erina Ghosh
- Philips Research North America, Cambridge, MA, USA
| | - Stuart L Goldstein
- Center for Acute Care Nephrology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Sandra L Kane-Gill
- Biomedical Informatics and Clinical Translational Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jejo Koola
- UC San Diego Health Department of Biomedical Informatics, Department of Medicine, La Jolla, CA, USA
| | - Jay L Koyner
- Section of Nephrology, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Mei Liu
- Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Raghavan Murugan
- The Program for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- The Clinical Research, Investigation, and Systems Modelling of Acute Illness Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Girish N Nadkarni
- Division of Data-Driven and Digital Medicine (D3M), Department of Medicine, Icahn School of Medicine at Mount Sinai; Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Javier A Neyra
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jacob Ninan
- Division of Pulmonary, Critical Care and Sleep Medicine, Mayo Clinic, Rochester, MN, USA
| | - Marlies Ostermann
- Department of Critical Care, King's College London, Guy's & St Thomas' Hospital, London, UK
| | - Neesh Pannu
- Division of Nephrology, University of Alberta, Edmonton, Canada
| | - Parisa Rashidi
- Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Claudio Ronco
- Università di Padova; Scientific Director Foundation IRRIV; International Renal Research Institute; San Bortolo Hospital, Vicenza, Italy
| | - Mitchell H Rosner
- Department of Medicine, University of Virginia Health, Charlottesville, VA, USA
| | - Nicholas M Selby
- Centre for Kidney Research and Innovation, Academic Unit of Translational Medical Sciences, University of Nottingham, Nottingham, UK
- Department of Renal Medicine, Royal Derby Hospital, Derby, UK
| | - Benjamin Shickel
- Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA
| | - Karandeep Singh
- Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Danielle E Soranno
- Section of Nephrology, Department of Pediatrics, Indiana University, Riley Hospital for Children, Indianapolis, IN, USA
| | - Scott M Sutherland
- Division of Nephrology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Azra Bihorac
- Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA.
| | - Ravindra L Mehta
- Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, La Jolla, CA, USA.
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El-Maadawy WH, Hassan M, Badawy MH, AbuSeada A, Hafiz E. Probenecid induces the recovery of renal ischemia/reperfusion injury via the blockade of Pannexin 1/P2X7 receptor axis. Life Sci 2022; 308:120933. [PMID: 36075473 DOI: 10.1016/j.lfs.2022.120933] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/24/2022] [Accepted: 09/01/2022] [Indexed: 11/18/2022]
Abstract
Renal ischemia/reperfusion injury (RI/RI) is one of the main driving causes of acute kidney injury. However, effective treatment to limit injury and promote recovery and/or survival is still unavailable. Probenecid (PBN), a drug indicated for refractory gout, exhibits protective activities against several preclinical diseases including cerebral and myocardial I/RI via Pannexin 1 (Panx1) and P2X7 receptors' (P2X7R) inhibition. However, its protective role against RI/RI has not been previously addressed. Accordingly, we subjected rats to bilateral RI/RI with/or without PBN treatment. Twenty-four hours post-reperfusion, PBN showed mild tubular injury and reduced serum nephrotoxicity indices, gene and protein expression levels of Panx 1 and P2X7R, and ATP and pro-inflammatory cytokines' levels. The nucleotide-binding domain-like receptor protein 3 (NLRP3) inflammasome signaling was also downregulated, as demonstrated by reduced gene and protein expression of NLRP3 and caspase-1, along with suppressed IL-1β maturation. Furthermore, PBN enhanced Tregs activity as indicated by elevated FoxP3 gene expression, IL-10, and TGF-β renal levels. On day 5 post-reperfusion, PBN noticeably enhanced renal recovery, as demonstrated by intact tubular epithelium and restored nephrotoxicity indices, Panx 1 and P2X7R gene and protein expression levels, ATP and pro-inflammatory cytokine levels, and NLRP3 inflammasome signaling. Besides, renal Tregs activity was also significantly increased. Our study elaborates for the first time the effectiveness of PBN in recovering post-ischemic renal injury through synergistic inhibition in Panx1/P2X7R axis leading to inactivation of NLRP3 inflammasome signaling and activation of Tregs in ischemic renal tissues. Therefore, PBN can be considered a promising drug for RI/RI treatment.
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Affiliation(s)
- Walaa H El-Maadawy
- Pharmacology Department, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba (P.O. 30), Giza 12411, Egypt.
| | - Marwa Hassan
- Immunology Department, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba (P.O. 30), Giza 12411, Egypt
| | - Mohamed H Badawy
- Urology Department, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba (P.O. 30), Giza 12411, Egypt
| | - AbdulRahman AbuSeada
- Anesthesia Department, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba (P.O. 30), Giza 12411, Egypt
| | - Ehab Hafiz
- Electron Microscopy Department, Theodor Bilharz Research Institute, Warrak El-Hadar, Imbaba (P.O. 30), Giza 12411, Egypt
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5
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Health system perspectives in acute kidney injury: commitment to kidney health and planning implementation interventions. Curr Opin Crit Care 2021; 27:593-603. [PMID: 34757995 DOI: 10.1097/mcc.0000000000000878] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW To discuss a deliberate commitment by health systems to optimize kidney health and outcomes of patients who are at risk for or develop acute kidney injury (AKI) during hospitalization. RECENT FINDINGS In 2019, the US Department of Health and Human Services set national goals targeted at improving the care and outcomes of patients with kidney disease including prevention by reducing the number of Americans who develop end-stage kidney disease (ESKD) by 25% by 2030. In response to this call to action, there is a need to focus on education to identify patients at high-risk for kidney disease development and progression, active surveillance methods to ensure timely identification, offering better follow-up care after an episode of AKI. A strategic approach to determining the health systems level of commitment and developing a plan for organizational change is discussed in this commentary. Items for consideration are structuring sound implementation projects and selecting implementation interventions. Clinical interventions to consider for implementation include the use of clinical decision support for detecting patients with AKI, novel biomarkers to determine patients at high-risk for AKI and nephrotoxin stewardship to prevent medication safety complications and drug-associated AKI. SUMMARY There is a national call to action to improve the care and outcomes of patients with kidney disease. Health systems have an opportunity to respond by providing a high level of commitment towards ensuring the best kidney health for all patients equally. Deliberate change that is sustainable and scalable should be considered by all health systems.
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Nguyen ED, Menon S. For Whom the Bell Tolls: Acute Kidney Injury and Electronic Alerts for the Pediatric Nephrologist. Front Pediatr 2021; 9:628096. [PMID: 33912520 PMCID: PMC8072003 DOI: 10.3389/fped.2021.628096] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 03/16/2021] [Indexed: 12/29/2022] Open
Abstract
With the advent of the electronic medical record, automated alerts have allowed for improved recognition of patients with acute kidney injury (AKI). Pediatric patients have the opportunity to benefit from such alerts, as those with a diagnosis of AKI are at risk of developing long-term consequences including reduced renal function and hypertension. Despite extensive studies on the implementation of electronic alerts, their overall impact on clinical outcomes have been unclear. Understanding the results of these studies have helped define best practices in developing electronic alerts with the aim of improving their impact on patient care. As electronic alerts for AKI are applied to pediatric patients, identifying their strengths and limitations will allow for continued improvement in its use and efficacy.
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Affiliation(s)
- Elizabeth D Nguyen
- Division of Pediatric Nephrology, Department of Pediatrics, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, WA, United States
| | - Shina Menon
- Division of Pediatric Nephrology, Department of Pediatrics, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, WA, United States
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7
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Mistry NS, Koyner JL. Artificial Intelligence in Acute Kidney Injury: From Static to Dynamic Models. Adv Chronic Kidney Dis 2021; 28:74-82. [PMID: 34389139 DOI: 10.1053/j.ackd.2021.03.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 02/22/2021] [Accepted: 03/04/2021] [Indexed: 12/21/2022]
Abstract
Artificial intelligence (AI) is the development of computer systems that normally require human intelligence. In the field of acute kidney injury (AKI) AI has led to an evolution of risk prediction models. In the past, static prediction models were developed using baseline (eg, preoperative) data to evaluate AKI risk. Newer models which incorporated baseline as well as evolving data collected during a hospital admission have shown improved predicative abilities. In this review, we will summarize the advances made in AKI risk prediction over the last several years, including a shift toward more dynamic, real-time, electronic medical record-based models. In addition, we will be discussing the role of electronic AKI alerts and decision support tools. Recent studies have demonstrated improved patient outcomes through the use of these tools which monitor for nephrotoxin medication exposures as well as provide kidney focused care bundles for patients at high risk for severe AKI. Finally, we will briefly discuss the pitfalls and implications of implementing these scores, alerts, and support tools.
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