1
|
Sullivan E, Melink K, Pettit K, Goldstein SL, Zang H, Ollberding NJ, SooHoo M, Alten JA, Stanski NL, Gist KM. Prediction of cardiac surgery associated acute kidney injury using response to loop diuretic and urine neutrophil gelatinase associated lipocalin. Pediatr Nephrol 2024:10.1007/s00467-024-06469-4. [PMID: 39120723 DOI: 10.1007/s00467-024-06469-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 07/05/2024] [Accepted: 07/16/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND Cardiac surgery associated acute kidney injury (CS-AKI) is common. Urine response to loop diuretic and urine neutrophil gelatinase associated lipocalin (uNGAL) are separately associated with CS-AKI. We aimed to determine whether urine response to loop diuretic and uNGAL together were associated with postoperative day 2-4 CS-AKI. METHODS Two-center prospective observational study (ages 0-18 years). uNGAL (8-12 h after admission) (ng/mL) and urine response to loop diuretic (6 h for bolus furosemide and 12 h for infusion bumetanide) (mL/kg/hr) were measured. All diuretic doses were converted to furosemide equivalents. The primary outcome was day 2-4 CS-AKI. Patients were sub-phenotyped using a priori cutoffs (uNGAL + ≥ 100 ng/mL and UOP + < 1.5 mL/kg/hr) and optimal cutoffs (uNGAL + ≥ 127 ng/mL and UOP + ≤ 0.79 mL/kg/hr): 1) uNGAL-/UOP-, 2) uNGAL-/UOP + , 3) uNGAL + /UOP-, and 4) uNGAL + /UOP + . Multivariable regression was used to assess the association of uNGAL, UOP and each sub-phenotype with outcomes. RESULTS 476 patients were included. CS-AKI occurred in 52 (10.9%). uNGAL was associated with 2.59-fold greater odds (95%CI: 1.52-4.41) of CS-AKI. UOP was not associated with CS-AKI. Compared with uNGAL + alone, uNGAL + /UOP + improved prediction of CS-AKI using a priori and optimal cutoffs respectively (AUC 0.70 vs. 0.75). Both uNGAL + /UOP + (IQR OR:4.63, 95%CI: 1.74-12.32) and uNGAL + /UOP- (IQR OR:5.94, 95%CI: 2.09-16.84) were associated with CS-AKI when compared with uNGAL-/UOP-. CONCLUSIONS uNGAL is associated with CS-AKI. The sub-phenotype association was largely driven by uNGAL. Future studies standardizing diuretic dose and timing may be needed to refine the combined performance for clinical decision making.
Collapse
Affiliation(s)
- Emily Sullivan
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, MLC 2003, Cincinnati, OH, 45226, USA
| | - Katherine Melink
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, MLC 2003, Cincinnati, OH, 45226, USA
| | - Kevin Pettit
- Department of Pediatrics, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Stuart L Goldstein
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, MLC 2003, Cincinnati, OH, 45226, USA
| | - Huiayu Zang
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, MLC 2003, Cincinnati, OH, 45226, USA
| | - Nicholas J Ollberding
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, MLC 2003, Cincinnati, OH, 45226, USA
| | - Megan SooHoo
- Department of Pediatrics, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jeffrey A Alten
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, MLC 2003, Cincinnati, OH, 45226, USA
| | - Natalja L Stanski
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, MLC 2003, Cincinnati, OH, 45226, USA
| | - Katja M Gist
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave, MLC 2003, Cincinnati, OH, 45226, USA.
| |
Collapse
|
2
|
Gorga SM, Selewski DT, Goldstein SL, Menon S. An update on the role of fluid overload in the prediction of outcome in acute kidney injury. Pediatr Nephrol 2024; 39:2033-2048. [PMID: 37861865 DOI: 10.1007/s00467-023-06161-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/29/2023] [Accepted: 08/29/2023] [Indexed: 10/21/2023]
Abstract
Over the past two decades, our understanding of the impact of acute kidney injury, disorders of fluid balance, and their interplay have increased significantly. In recent years, the epidemiology and impact of fluid balance, including the pathologic state of fluid overload on outcomes has been studied extensively across multiple pediatric and neonatal populations. A detailed understating of fluid balance has become increasingly important as it is recognized as a target for intervention to continue to work to improve outcomes in these populations. In this review, we provide an update on the epidemiology and outcomes associated with fluid balance disorders and the development of fluid overload in children with acute kidney injury (AKI). This will include a detailed review of consensus definitions of fluid balance, fluid overload, and the methodologies to define them, impact of fluid balance on the diagnosis of AKI and the concept of fluid corrected serum creatinine. This review will also provide detailed descriptions of future directions and the changing paradigms around fluid balance and AKI in critical care nephrology, including the incorporation of the sequential utilization of risk stratification, novel biomarkers, and functional kidney tests (furosemide stress test) into research and ultimately clinical care. Finally, the review will conclude with novel methods currently under study to assess fluid balance and distribution (point of care ultrasound and bioimpedance).
Collapse
Affiliation(s)
- Stephen M Gorga
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - David T Selewski
- Department of Pediatrics, Medical University of South Carolina, 125 Doughty St., MSC 608 Ste 690, Charleston, SC, 29425, USA.
| | - Stuart L Goldstein
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Shina Menon
- Department of Pediatrics, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| |
Collapse
|
3
|
Lin KM, Su CC, Chen JY, Pan SY, Chuang MH, Lin CJ, Wu CJ, Pan HC, Wu VC. Biomarkers in pursuit of precision medicine for acute kidney injury: hard to get rid of customs. Kidney Res Clin Pract 2024; 43:393-405. [PMID: 38934040 PMCID: PMC11237332 DOI: 10.23876/j.krcp.23.284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/08/2024] [Accepted: 02/13/2024] [Indexed: 06/28/2024] Open
Abstract
Traditional acute kidney injury (AKI) classifications, which are centered around semi-anatomical lines, can no longer capture the complexity of AKI. By employing strategies to identify predictive and prognostic enrichment targets, experts could gain a deeper comprehension of AKI's pathophysiology, allowing for the development of treatment-specific targets and enhancing individualized care. Subphenotyping, which is enriched with AKI biomarkers, holds insights into distinct risk profiles and tailored treatment strategies that redefine AKI and contribute to improved clinical management. The utilization of biomarkers such as N-acetyl-β-D-glucosaminidase, tissue inhibitor of metalloprotease-2·insulin-like growth factor-binding protein 7, kidney injury molecule-1, and liver fatty acid-binding protein garnered significant attention as a means to predict subclinical AKI. Novel biomarkers offer promise in predicting persistent AKI, with urinary motif chemokine ligand 14 displaying significant sensitivity and specificity. Furthermore, they serve as predictive markers for weaning patients from acute dialysis and offer valuable insights into distinct AKI subgroups. The proposed management of AKI, which is encapsulated in a structured flowchart, bridges the gap between research and clinical practice. It streamlines the utilization of biomarkers and subphenotyping, promising a future in which AKI is swiftly identified and managed with unprecedented precision. Incorporating kidney biomarkers into strategies for early AKI detection and the initiation of AKI care bundles has proven to be more effective than using care bundles without these novel biomarkers. This comprehensive approach represents a significant stride toward precision medicine, enabling the identification of high-risk subphenotypes in patients with AKI.
Collapse
Grants
- MOST 107-2314-B-002-026-MY3, 108-2314B-002-058, 110-2314-B-002-241, 110-2314-B-002-239 Ministry of Science and Technology (MOST) of the Republic of China (Taiwan)
- NSTC 109-2314-B-002-174-MY3, 110-2314-B-002124-MY3, 111-2314-B-002-046, 111-2314-B-002-058 National Science and Technology Council
- PH-102-SP-09 National Health Research Institutes
- 109-S4634, PC-1246, PC-1309, VN109-09, UN109-041, UN110-030, 111-FTN0011 National Taiwan University Hospital
Collapse
Affiliation(s)
- Kun-Mo Lin
- Division of Nephrology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan
| | - Ching-Chun Su
- Division of Nephrology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan, Taiwan
| | - Jui-Yi Chen
- Division of Nephrology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan, Taiwan
| | - Szu-Yu Pan
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, Taipei, Taiwan
| | - Min-Hsiang Chuang
- Division of Nephrology, Department of Internal Medicine, Chi-Mei Medical Center, Tainan, Taiwan
| | - Cheng-Jui Lin
- Division of Nephrology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan
| | - Chih-Jen Wu
- Division of Nephrology, Department of Internal Medicine, Mackay Memorial Hospital, Taipei, Taiwan
| | - Heng-Chih Pan
- Division of Nephrology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, Taiwan
| | - Vin-Cent Wu
- Division of Nephrology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Primary Aldosteronism Center of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- NSARF (National Taiwan University Hospital Study Group of ARF), Taipei, Taiwan
| |
Collapse
|
4
|
Krishnasamy S, Sinha A, Lodha R, Sankar J, Tarik M, Ramakrishnan L, Bagga A, Hari P. Furosemide stress test to predict acute kidney injury progression in critically ill children. Pediatr Nephrol 2024:10.1007/s00467-024-06387-5. [PMID: 38691152 DOI: 10.1007/s00467-024-06387-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/10/2024] [Accepted: 04/10/2024] [Indexed: 05/03/2024]
Abstract
BACKGROUND Furosemide stress test (FST) is a novel functional biomarker for predicting severe acute kidney injury (AKI); however, pediatric studies are limited. METHODS Children 3 months to 18 years of age admitted to the intensive care unit (ICU) of a tertiary care hospital from Nov 2019 to July 2021 were screened and those who developed AKI stage 1 or 2 within 7 days of admission underwent FST (intravenous furosemide 1 mg/kg). Urine output was measured hourly for the next 6 h; a value > 2 ml/kg within the first 2 h was deemed furosemide responsive. Other biomarkers like plasma neutrophil gelatinase-associated lipocalin (NGAL) and proenkephalin (PENK) were also evaluated. RESULTS Of the 480 admitted patients, 51 developed AKI stage 1 or 2 within 7 days of admission and underwent FST. Nine of these patients were furosemide non-responsive. Thirteen (25.5%) patients (eight of nine from FST non-responsive group) developed stage 3 AKI within 7 days of FST, nine (17.6%) of whom (seven from non-responsive group) required kidney support therapy (KST). FST emerged as a good biomarker for predicting stage 3 AKI and need for KST with area-under-the-curve (AUC) being 0.93 ± 0.05 (95% CI 0.84-1.0) and 0.96 ± 0.03 (95% CI 0.9-1.0), respectively. FST outperformed NGAL and PENK in predicting AKI stage 3 and KST; however, the combination did not improve the diagnostic accuracy. CONCLUSIONS Furosemide stress test is a simple, inexpensive, and robust biomarker for predicting stage 3 AKI and KST need in critically ill children. Further research is required to identify the best FST cut-off in children.
Collapse
Affiliation(s)
- Sudarsan Krishnasamy
- Pediatric Nephrology Services, Department of Paediatrics, Jawaharlal Institute of Post Graduate Medical Education and Research (JIPMER), Pondicherry, India
| | - Aditi Sinha
- Division of Nephrology, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Rakesh Lodha
- Division of Pediatric Pulmonology and Intensive Care, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Jhuma Sankar
- Division of Pediatric Pulmonology and Intensive Care, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Mohamad Tarik
- Department of Cardiac Biochemistry, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Lakshmy Ramakrishnan
- Department of Cardiac Biochemistry, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Arvind Bagga
- Director Paediatrics and Senior Consultant Pediatric Nephrology, Indraprastha Apollo Hospitals, New Delhi, India
| | - Pankaj Hari
- Division of Nephrology, Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
| |
Collapse
|
5
|
Fuhrman DY, Stanski NL, Krawczeski CD, Greenberg JH, Arikan AAA, Basu RK, Goldstein SL, Gist KM. A proposed framework for advancing acute kidney injury risk stratification and diagnosis in children: a report from the 26th Acute Disease Quality Initiative (ADQI) conference. Pediatr Nephrol 2024; 39:929-939. [PMID: 37670082 PMCID: PMC10817991 DOI: 10.1007/s00467-023-06133-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 07/24/2023] [Accepted: 08/09/2023] [Indexed: 09/07/2023]
Abstract
Acute kidney injury (AKI) in children is associated with increased morbidity, reduced health-related quality of life, greater resource utilization, and higher mortality. Improvements in the timeliness and precision of AKI diagnosis in children are needed. In this report, we highlight existing, novel, and on-the-horizon diagnostic and risk-stratification tools for pediatric AKI, and outline opportunities for integration into clinical practice. We also summarize pediatric-specific high-risk diagnoses and exposures for AKI, as well as the potential role of real-time risk stratification and clinical decision support to improve outcomes. Lastly, the key characteristics of important pediatric AKI phenotypes will be outlined. Throughout, we identify key knowledge gaps, which represent prioritized areas of focus for future research that will facilitate a comprehensive, timely and personalized approach to pediatric AKI diagnosis and management.
Collapse
Affiliation(s)
- Dana Y Fuhrman
- Department of Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, 4401 Penn Avenue, Suite 2000, Pittsburgh, PA, 15224, USA.
- Department of Pediatrics, Division of Nephrology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA.
| | - Natalja L Stanski
- Department of Pediatrics, Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Catherine D Krawczeski
- Department of Pediatrics, Division of Cardiology, Nationwide Children's Hospital, Ohio State University, Columbus, OH, USA
| | - Jason H Greenberg
- Department of Pediatrics, Division of Nephrology, Yale University Medical Center, New Haven, CT, USA
| | - A Ayse Akcan Arikan
- Department of Pediatrics, Division of Critical Care Medicine, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
- Department of Pediatrics, Division of Nephrology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Raj K Basu
- Department of Pediatrics, Division of Critical Care Medicine, Northwestern University Feinberg School of Medicine, Ann & Robert Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Stuart L Goldstein
- Department of Pediatrics, Division of Nephrology & Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Katja M Gist
- Department of Pediatrics, Division of Cardiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| |
Collapse
|
6
|
Stanski NL, Rodrigues CE, Strader M, Murray PT, Endre ZH, Bagshaw SM. Precision management of acute kidney injury in the intensive care unit: current state of the art. Intensive Care Med 2023; 49:1049-1061. [PMID: 37552332 DOI: 10.1007/s00134-023-07171-z] [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: 04/19/2023] [Accepted: 07/12/2023] [Indexed: 08/09/2023]
Abstract
Acute kidney injury (AKI) is a prototypical example of a common syndrome in critical illness defined by consensus. The consensus definition for AKI, traditionally defined using only serum creatinine and urine output, was needed to standardize the description for epidemiology and to harmonize eligibility for clinical trials. However, AKI is not a simple disease, but rather a complex and multi-factorial syndrome characterized by a wide spectrum of pathobiology. AKI is now recognized to be comprised of numerous sub-phenotypes that can be discriminated through shared features such as etiology, prognosis, or common pathobiological mechanisms of injury and damage. The characterization of sub-phenotypes can serve to enable prognostic enrichment (i.e., identify subsets of patients more likely to share an outcome of interest) and predictive enrichment (identify subsets of patients more likely to respond favorably to a given therapy). Existing and emerging biomarkers will aid in discriminating sub-phenotypes of AKI, facilitate expansion of diagnostic criteria, and be leveraged to realize personalized approaches to management, particularly for recognizing treatment-responsive mechanisms (i.e., endotypes) and targets for intervention (i.e., treatable traits). Specific biomarkers (e.g., serum renin; olfactomedin 4 (OLFM4); interleukin (IL)-9) may further enable identification of pathobiological mechanisms to serve as treatment targets. However, even non-specific biomarkers of kidney injury (e.g., neutrophil gelatinase-associated lipocalin, NGAL; [tissue inhibitor of metalloproteinases 2, TIMP2]·[insulin like growth factor binding protein 7, IGFBP7]; kidney injury molecule 1, KIM-1) can direct greater precision management for specific sub-phenotypes of AKI. This review will summarize these evolving concepts and recent innovations in precision medicine approaches to the syndrome of AKI in critical illness, along with providing examples of how they can be leveraged to guide patient care.
Collapse
Affiliation(s)
- Natalja L Stanski
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Camila E Rodrigues
- Department of Nephrology, Prince of Wales Clinical School, UNSW Medicine, Sydney, NSW, Australia
- Nephrology Department, Hospital das Clínicas, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Michael Strader
- Department of Medicine, School of Medicine, University College Dublin, Dublin, Ireland
| | - Patrick T Murray
- Department of Medicine, School of Medicine, University College Dublin, Dublin, Ireland
| | - Zoltan H Endre
- Department of Nephrology, Prince of Wales Clinical School, UNSW Medicine, Sydney, NSW, Australia
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, 2-124 Clinical Sciences Building, 8440-112 ST NW, Edmonton, AB, T6G 2B7, Canada.
| |
Collapse
|
7
|
Menon S, Gist KM. Subphenotypes of Pediatric Acute Kidney Injury. Nephron Clin Pract 2023; 147:743-746. [PMID: 37598663 DOI: 10.1159/000531914] [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: 05/12/2023] [Accepted: 06/30/2023] [Indexed: 08/22/2023] Open
Abstract
Acute kidney injury (AKI) is seen frequently in hospitalized patients and is associated with increased risk of mortality and adverse short- and long-term renal and systemic complications. Emerging data suggest that AKI is a heterogenous syndrome with a variety of underlying causes, predisposing illnesses, and range of clinical trajectories and outcomes. This mini-review aims to discuss emerging AKI subphenotype classifications as our understanding of the heterogeneity and underlying pathophysiology has improved.
Collapse
Affiliation(s)
- Shina Menon
- Department of Pediatrics, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, Washington, USA
| | - Katja M Gist
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| |
Collapse
|