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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).
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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
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2
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Jariyasakoolroj T, Chattipakorn SC, Chattipakorn N. Potential biomarkers used for risk estimation of pediatric sepsis-associated organ dysfunction and immune dysregulation. Pediatr Res 2024:10.1038/s41390-024-03289-y. [PMID: 38834784 DOI: 10.1038/s41390-024-03289-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 04/03/2024] [Accepted: 05/11/2024] [Indexed: 06/06/2024]
Abstract
Pediatric sepsis is a serious issue globally and is a significant cause of illness and death among infants and children. Refractory septic shock and multiple organ dysfunction syndrome are the primary causes of mortality in children with sepsis. However, there is incomplete understanding of mechanistic insight of sepsis associated organ dysfunction. Biomarkers present during the body's response to infection-related inflammation can be used for screening, diagnosis, risk stratification/prognostication, and/or guidance in treatment decision-making. Research on biomarkers in children with sepsis can provide information about the risk of poor outcomes and sepsis-related organ dysfunction. This review focuses on clinically used biomarkers associated with immune dysregulation and organ dysfunction in pediatric sepsis, which could be useful for developing precision medicine strategies in pediatric sepsis management in the future. IMPACT: Sepsis is a complex syndrome with diverse clinical presentations, where organ dysfunction is a key factor in morbidity and mortality. Early detection of organ complications is vital in sepsis management, and potential biomarkers offer promise for precision medicine in pediatric cases. Well-designed studies are needed to identify phase-specific biomarkers and improve outcomes through more precise management.
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Affiliation(s)
- Theerapon Jariyasakoolroj
- Division of Pediatric Critical Care Medicine, Department of Pediatrics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Siriporn C Chattipakorn
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand
- Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand
| | - Nipon Chattipakorn
- Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
- Center of Excellence in Cardiac Electrophysiology Research, Chiang Mai University, Chiang Mai, Thailand.
- Cardiac Electrophysiology Unit, Department of Physiology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
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3
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Atreya MR, Cvijanovich NZ, Fitzgerald JC, Weiss SL, Bigham MT, Jain PN, Abulebda K, Lutfi R, Nowak J, Thomas NJ, Baines T, Quasney M, Haileselassie B, Sahay R, Zhang B, Alder MN, Stanski NL, Goldstein SL. Revisiting Post-ICU Admission Fluid Balance Across Pediatric Sepsis Mortality Risk Strata: A Secondary Analysis of a Prospective Observational Cohort Study. Crit Care Explor 2024; 6:e1027. [PMID: 38234587 PMCID: PMC10793970 DOI: 10.1097/cce.0000000000001027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024] Open
Abstract
OBJECTIVES Post-ICU admission cumulative positive fluid balance (PFB) is associated with increased mortality among critically ill patients. We sought to test whether this risk varied across biomarker-based risk strata upon adjusting for illness severity, presence of severe acute kidney injury (acute kidney injury), and use of continuous renal replacement therapy (CRRT) in pediatric septic shock. DESIGN Ongoing multicenter prospective observational cohort. SETTING Thirteen PICUs in the United States (2003-2023). PATIENTS Six hundred and eighty-one children with septic shock. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Cumulative percent PFB between days 1 and 7 (days 1-7 %PFB) was determined. Primary outcome of interest was complicated course defined as death or persistence of greater than or equal to two organ dysfunctions by day 7. Pediatric Sepsis Biomarker Risk Model (PERSEVERE)-II biomarkers were used to assign mortality probability and categorize patients into high mortality (n = 91), intermediate mortality (n = 134), and low mortality (n = 456) risk strata. Cox proportional hazard regression models with adjustment for PERSEVERE-II mortality probability, presence of sepsis-associated acute kidney injury on day 3, and use of CRRT, demonstrated that time-dependent variable days 1-7%PFB was independently associated with an increased hazard of complicated course. Risk-stratified analyses revealed that each 10% increase in days 1-7 %PFB was associated with increased hazard of complicated course only among patients with high mortality risk strata (adjusted hazard ratio 1.24 (95% CI, 1.08-1.43), p = 0.003). However, this association was not causally mediated by PERSEVERE-II biomarkers. CONCLUSIONS Our data demonstrate the influence of cumulative %PFB on the risk of complicated course in pediatric septic shock. Contrary to our previous report, this risk was largely driven by patients categorized as having a high mortality risk based on PERSEVERE-II biomarkers. Incorporation of such prognostic enrichment tools in randomized trials of restrictive fluid management or early initiation of de-escalation strategies may inform targeted application of such interventions among at-risk patients.
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Affiliation(s)
- Mihir R Atreya
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center Cincinnati, Cincinnati, OH
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | | | - Julie C Fitzgerald
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Scott L Weiss
- Department of Pediatrics, Nemours Children's Hospital, Wilmington, DE
| | | | - Parag N Jain
- Department of Pediatrics, Texas Children's Hospital and Baylor College of Medicine, Houston, TX
| | - Kamal Abulebda
- Department of Pediatrics, Riley Hospital for Children, Indianapolis, IN
| | - Riad Lutfi
- Department of Pediatrics, Riley Hospital for Children, Indianapolis, IN
| | - Jeffrey Nowak
- Department of Pediatrics, Children's Hospital and Clinics of Minnesota, Minneapolis, MN
| | - Neal J Thomas
- Department of Pediatrics, Penn State Hershey Children's Hospital, Hershey, PA
| | - Torrey Baines
- Department of Pediatrics, University of Florida Health Shands Children's Hospital, Gainesville, FL
| | - Michael Quasney
- Department of Pediatrics, CS Mott Children's Hospital at the University of Michigan, Ann Arbor, MI
| | | | - Rashmi Sahay
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center Cincinnati, Cincinnati, OH
| | - Bin Zhang
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center Cincinnati, Cincinnati, OH
| | - Matthew N Alder
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center Cincinnati, Cincinnati, OH
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Natalja L Stanski
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center Cincinnati, Cincinnati, OH
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Stuart L Goldstein
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
- Division of Nephrology, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH
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4
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Sanchez-Pinto LN, Bhavani SV, Atreya MR, Sinha P. Leveraging Data Science and Novel Technologies to Develop and Implement Precision Medicine Strategies in Critical Care. Crit Care Clin 2023; 39:627-646. [PMID: 37704331 DOI: 10.1016/j.ccc.2023.03.002] [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] [Indexed: 09/15/2023]
Abstract
Precision medicine aims to identify treatments that are most likely to result in favorable outcomes for subgroups of patients with similar clinical and biological characteristics. The gaps for the development and implementation of precision medicine strategies in the critical care setting are many, but the advent of data science and multi-omics approaches, combined with the rich data ecosystem in the intensive care unit, offer unprecedented opportunities to realize the promise of precision critical care. In this article, the authors review the data-driven and technology-based approaches being leveraged to discover and implement precision medicine strategies in the critical care setting.
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Affiliation(s)
- Lazaro N Sanchez-Pinto
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.
| | | | - Mihir R Atreya
- Division of Critical Care Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Pratik Sinha
- Division of Clinical and Translational Research, Department of Anesthesia, Washington University School of Medicine, 1 Barnes Jewish Hospital Plaza, St. Louis, MO 63110, USA; Division of Critical Care, Department of Anesthesia, Washington University School of Medicine, 1 Barnes Jewish Hospital Plaza, St. Louis, MO 63110, USA
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Zulu C, Mwaba C, wa Somwe S. The renal angina index accurately predicts low risk of developing severe acute kidney injury among children admitted to a low-resource pediatric intensive care unit. Ren Fail 2023; 45:2252095. [PMID: 37724565 PMCID: PMC10512926 DOI: 10.1080/0886022x.2023.2252095] [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: 03/13/2023] [Accepted: 08/21/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND Acute kidney injury (AKI) increases the risk of adverse outcomes. The renal angina index (RAI) has previously been used to predict patients at risk of developing severe AKI (sAKI). METHOD This single-centre prospective observational study aimed to assess the prevalence of sAKI in PICU as the primary outcome and the duration of mechanical ventilation and PICU stay, RRT need, and mortality as secondary outcomes. The utility of the RAI in predicting day 3 sAKI was also assessed. We enrolled 122 patients aged 1 month to 16 years whose baseline characteristics were collected via questionnaire. RAI was calculated on day 0 with a score of ≥8 being considered positive. sAKI was defined as KDIGO stages 2 and 3. RESULTS sAKI prevalence was 14.8% and its development was associated with longer duration of mechanical ventilation (p = 0.001) and higher mortality (p = 0.011). A positive Day 0 RAI predicted day 3 sAKI with sensitivity 55.6%, specificity 85.6%, PPV 40.0%, NPV 91.8%, and AUC of 0.77. Exclusion of children older than 5 years improved RAI performance (sensitivity 72.7%, specificity 88.0%, PPV 57.1%, NPV 93.6%, AUC 0.80). A modified RAI based on local AKI risk factors had equivalent performance to RAI (Z - score 0.78 (CI -0.077-0.033), p = 0.435) with sensitivity 72.2%, specificity 80.8%, PPV 39.4%, NPV 94.4% and AUC 0.80. CONCLUSION The RAI can be an effective tool in ruling out sAKI in patients and a modification of RAI based on population-based risk factors improves the test's sensitivity and NPV.
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Affiliation(s)
- Christina Zulu
- Department of Paediatrics and Child Health, School of Medicine, University of Zambia, Lusaka, Zambia
- Department of Paediatrics, University Teaching Hospitals - Children’s Hospital, Lusaka, Zambia
| | - Chisambo Mwaba
- Department of Paediatrics and Child Health, School of Medicine, University of Zambia, Lusaka, Zambia
- Department of Paediatrics, University Teaching Hospitals - Children’s Hospital, Lusaka, Zambia
| | - Somwe wa Somwe
- Department of Paediatrics and Child Health, School of Medicine, University of Zambia, Lusaka, Zambia
- Beit-Cure Hospital, Lusaka, Zambia
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Stanski NL, Pode Shakked N, Zhang B, Cvijanovich NZ, Fitzgerald JC, Jain PN, Schwarz AJ, Nowak J, Weiss SL, Allen GL, Thomas NJ, Haileselassie B, Goldstein SL. Serum renin and prorenin concentrations predict severe persistent acute kidney injury and mortality in pediatric septic shock. Pediatr Nephrol 2023; 38:3099-3108. [PMID: 36939916 PMCID: PMC10588759 DOI: 10.1007/s00467-023-05930-0] [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: 01/17/2023] [Revised: 02/24/2023] [Accepted: 02/24/2023] [Indexed: 03/21/2023]
Abstract
BACKGROUND Studies in critically ill adults demonstrate associations between serum renin concentrations (a proposed surrogate for renin-angiotensin-aldosterone system dysregulation) and poor outcomes, but data in critically ill children are lacking. We assessed serum renin + prorenin concentrations in children with septic shock to determine their predictive ability for acute kidney injury (AKI) and mortality. METHODS We conducted a secondary analysis of a multicenter observational study of children aged 1 week to 18 years admitted to 14 pediatric intensive care units (PICUs) with septic shock and residual serum available for renin + prorenin measurement. Primary outcomes were development of severe persistent AKI (≥ KDIGO stage 2 for ≥ 48 h) in the first week and 28-day mortality. RESULTS Among 233 patients, day 1 median renin + prorenin concentration was 3436 pg/ml (IQR 1452-6567). Forty-two (18%) developed severe persistent AKI and 32 (14%) died. Day 1 serum renin + prorenin predicted severe persistent AKI with an AUROC of 0.75 (95% CI 0.66-0.84, p < 0.0001; optimal cutoff 6769 pg/ml) and mortality with an AUROC of 0.79 (95% CI 0.69-0.89, p < 0.0001; optimal cutoff 6521 pg/ml). Day 3/day 1 (D3:D1) renin + prorenin ratio had an AUROC of 0.73 (95% CI 0.63-0.84, p < 0.001) for mortality. On multivariable regression, day 1 renin + prorenin > optimal cutoff retained associations with severe persistent AKI (aOR 6.8, 95% CI 3.0-15.8, p < 0.001) and mortality (aOR 6.9, 95% CI 2.2-20.9, p < 0.001). Similarly, D3:D1 renin + prorenin > optimal cutoff was associated with mortality (aOR 7.6, 95% CI 2.5-23.4, p < 0.001). CONCLUSIONS Children with septic shock have very elevated serum renin + prorenin concentrations on PICU admission, and these concentrations, as well as their trend over the first 72 h, predict severe persistent AKI and mortality. A higher resolution version of the Graphical abstract is available as Supplementary information.
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Affiliation(s)
- Natalja L Stanski
- Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH, 45267, USA.
| | - Naomi Pode Shakked
- Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Bin Zhang
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA
| | | | - Julie C Fitzgerald
- The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, USA
| | - Parag N Jain
- Texas Children's Hospital and Baylor College of Medicine, 6621 Fannin Street, Houston, TX, 77030, USA
| | - Adam J Schwarz
- Children's Hospital of Orange County, 1201 W La Veta Ave, Orange, CA, 92868, USA
| | - Jeffrey Nowak
- Children's Minnesota, 2525 Chicago Ave, Minneapolis, MN, 55404, USA
| | - Scott L Weiss
- The Children's Hospital of Philadelphia, 3401 Civic Center Boulevard, Philadelphia, PA, 19104, USA
| | - Geoffrey L Allen
- Children's Mercy Hospital, 2401 Gillham Road, Kansas City, MO, 64108, USA
| | - Neal J Thomas
- Penn State Health Children's Hospital, 600 University Dr, Hershey, PA, 17033, USA
| | | | - Stuart L Goldstein
- Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Ave, Cincinnati, OH, 45267, USA
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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.
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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.
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Atreya MR, Cvijanovich NZ, Fitzgerald JC, Weiss SL, Bigham MT, Jain PN, Schwarz AJ, Lutfi R, Nowak J, Allen GL, Thomas NJ, Grunwell JR, Baines T, Quasney M, Haileselassie B, Alder MN, Goldstein SL, Stanski NL. Prognostic and predictive value of endothelial dysfunction biomarkers in sepsis-associated acute kidney injury: risk-stratified analysis from a prospective observational cohort of pediatric septic shock. Crit Care 2023; 27:260. [PMID: 37400882 PMCID: PMC10318688 DOI: 10.1186/s13054-023-04554-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 06/28/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Sepsis-associated acute kidney injury (SA-AKI) is associated with high morbidity, with no current therapies available beyond continuous renal replacement therapy (CRRT). Systemic inflammation and endothelial dysfunction are key drivers of SA-AKI. We sought to measure differences between endothelial dysfunction markers among children with and without SA-AKI, test whether this association varied across inflammatory biomarker-based risk strata, and develop prediction models to identify those at highest risk of SA-AKI. METHODS Secondary analyses of prospective observational cohort of pediatric septic shock. Primary outcome of interest was the presence of ≥ Stage II KDIGO SA-AKI on day 3 based on serum creatinine (D3 SA-AKI SCr). Biomarkers including those prospectively validated to predict pediatric sepsis mortality (PERSEVERE-II) were measured in Day 1 (D1) serum. Multivariable regression was used to test the independent association between endothelial markers and D3 SA-AKI SCr. We conducted risk-stratified analyses and developed prediction models using Classification and Regression Tree (CART), to estimate risk of D3 SA-AKI among prespecified subgroups based on PERSEVERE-II risk. RESULTS A total of 414 patients were included in the derivation cohort. Patients with D3 SA-AKI SCr had worse clinical outcomes including 28-day mortality and need for CRRT. Serum soluble thrombomodulin (sTM), Angiopoietin-2 (Angpt-2), and Tie-2 were independently associated with D3 SA-AKI SCr. Further, Tie-2 and Angpt-2/Tie-2 ratios were influenced by the interaction between D3 SA-AKI SCr and risk strata. Logistic regression demonstrated models predictive of D3 SA-AKI risk performed optimally among patients with high- or intermediate-PERSEVERE-II risk strata. A 6 terminal node CART model restricted to this subgroup of patients had an area under the receiver operating characteristic curve (AUROC) 0.90 and 0.77 upon tenfold cross-validation in the derivation cohort to distinguish those with and without D3 SA-AKI SCr and high specificity. The newly derived model performed modestly in a unique set of patients (n = 224), 84 of whom were deemed high- or intermediate-PERSEVERE-II risk, to distinguish those patients with high versus low risk of D3 SA-AKI SCr. CONCLUSIONS Endothelial dysfunction biomarkers are independently associated with risk of severe SA-AKI. Pending validation, incorporation of endothelial biomarkers may facilitate prognostic and predictive enrichment for selection of therapeutics in future clinical trials among critically ill children.
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Affiliation(s)
- Mihir R Atreya
- Division of Critical Care Medicine, MLC2005, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA.
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA.
| | | | | | - Scott L Weiss
- Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | | | - Parag N Jain
- Texas Children's Hospital, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Adam J Schwarz
- Children's Hospital of Orange County, Orange, CA, 92868, USA
| | - Riad Lutfi
- Riley Hospital for Children, Indianapolis, IN, 46202, USA
| | - Jeffrey Nowak
- Children's Hospital and Clinics of Minnesota, Minneapolis, MN, 55404, USA
| | | | - Neal J Thomas
- Penn State Hershey Children's Hospital, Hershey, PA, 17033, USA
| | | | - Torrey Baines
- University of Florida Health Shands Children's Hospital, Gainesville, FL, 32610, USA
| | - Michael Quasney
- CS Mott Children's Hospital at the University of Michigan, Ann Arbor, MI, 48109, USA
| | | | - Matthew N Alder
- Division of Critical Care Medicine, MLC2005, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Stuart L Goldstein
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
- Division of Nephrology, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH, 45229, USA
| | - Natalja L Stanski
- Division of Critical Care Medicine, MLC2005, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, 3333 Burnet Avenue, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
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9
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Atreya MR, Cvijanovich NZ, Fitzgerald JC, Weiss SL, Bigham MT, Jain PN, Abulebda K, Lutfi R, Nowak J, Thomas NJ, Baines T, Quasney M, Haileselassie B, Sahay R, Zhang B, Alder M, Stanski N, Goldstein S. Revisiting post-ICU admission fluid balance across pediatric sepsis mortality risk strata: A secondary analyses from a prospective observational cohort study. RESEARCH SQUARE 2023:rs.3.rs-3117188. [PMID: 37461591 PMCID: PMC10350118 DOI: 10.21203/rs.3.rs-3117188/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Introduction Post-ICU admission cumulative positive fluid balance (PFB) is associated with increased mortality among critically ill patients. We sought to test whether this risk varied across biomarker-based risk strata upon adjusting for illness severity, presence of severe acute kidney injury (AKI), and use of renal replacement therapy (CRRT) in pediatric septic shock. Design Ongoing multi-center prospective observational cohort. Setting Thirteen pediatric ICUs in the United States (2003-2023). Patients Six hundred and eighty-one children with septic shock. Interventions None. Measurements and Main Results Cumulative percent positive fluid balance between day 1-7 (Day 1-7%PFB) was determined. Primary outcome of interest was complicated course defined as death or persistence of ≥ 2 organ dysfunctions by day 7. PERSEVERE-II biomarkers were used to assign mortality probability and categorize patients into high (n = 91), intermediate (n = 134), and low (n = 456) mortality risk strata. Cox proportional hazard regression models with adjustment for PERSEVERE-II mortality probability, presence of sepsis associated acute kidney injury (SA-AKI) on Day 3, and any use of CRRT, demonstrated that time-dependent variable Day 1-7%PFB was independently associated with increased hazard of complicated course in the cohort. Risk stratified analyses revealed that each 10% increase in Day 1-7%PFB was independently associated with increased hazard of complicated course among patients with high mortality risk strata (adj HR of 1.24 (95%CI: 1.08-1.42), p = 0.002), but not among those categorized as intermediate- or low- mortality risk. Conclusions Our data demonstrate the independent influence of cumulative %PFB on the risk of complicated course. Contrary to our previous report, this risk was largely driven by patients categorized as having a high-mortality risk based on PERSEVERE-II biomarkers. Further research is necessary to determine whether this subset of patients may benefit from targeted deployment of restrictive fluid management or early initiation of de-escalation therapies upon resolution of shock.
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Affiliation(s)
| | | | | | - Scott L Weiss
- 5. Nemours Children's Hospital, Wilmington, DE, 19803, USA
| | | | - Parag N Jain
- Texas Children's Hospital and Baylor College of Medicine, Houston, TX 77030, USA
| | - Kamal Abulebda
- Riley Hospital for Children, Indianapolis, IN 46202, USA
| | - Riad Lutfi
- Riley Hospital for Children, Indianapolis, IN 46202, USA
| | - Jeffrey Nowak
- Children's Hospital and Clinics of Minnesota, Minneapolis, MN 55404, USA
| | - Neal J Thomas
- Penn State Hershey Children's Hospital, Hershey, PA 17033, USA
| | - Torrey Baines
- University of Florida Health Shands Children's Hospital, Gainesville, FL 32610, USA
| | - Michael Quasney
- CS Mott Children's Hospital at the University of Michigan, Ann Arbor, MI 48109, USA
| | | | | | - Bin Zhang
- Cincinnati Children's Hospital Medical Center
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Tsakiroglou M, Evans A, Pirmohamed M. Leveraging transcriptomics for precision diagnosis: Lessons learned from cancer and sepsis. Front Genet 2023; 14:1100352. [PMID: 36968610 PMCID: PMC10036914 DOI: 10.3389/fgene.2023.1100352] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 02/20/2023] [Indexed: 03/12/2023] Open
Abstract
Diagnostics require precision and predictive ability to be clinically useful. Integration of multi-omic with clinical data is crucial to our understanding of disease pathogenesis and diagnosis. However, interpretation of overwhelming amounts of information at the individual level requires sophisticated computational tools for extraction of clinically meaningful outputs. Moreover, evolution of technical and analytical methods often outpaces standardisation strategies. RNA is the most dynamic component of all -omics technologies carrying an abundance of regulatory information that is least harnessed for use in clinical diagnostics. Gene expression-based tests capture genetic and non-genetic heterogeneity and have been implemented in certain diseases. For example patients with early breast cancer are spared toxic unnecessary treatments with scores based on the expression of a set of genes (e.g., Oncotype DX). The ability of transcriptomics to portray the transcriptional status at a moment in time has also been used in diagnosis of dynamic diseases such as sepsis. Gene expression profiles identify endotypes in sepsis patients with prognostic value and a potential to discriminate between viral and bacterial infection. The application of transcriptomics for patient stratification in clinical environments and clinical trials thus holds promise. In this review, we discuss the current clinical application in the fields of cancer and infection. We use these paradigms to highlight the impediments in identifying useful diagnostic and prognostic biomarkers and propose approaches to overcome them and aid efforts towards clinical implementation.
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Affiliation(s)
- Maria Tsakiroglou
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
- *Correspondence: Maria Tsakiroglou,
| | - Anthony Evans
- Computational Biology Facility, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
| | - Munir Pirmohamed
- Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
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11
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Sepsis-associated acute kidney injury: consensus report of the 28th Acute Disease Quality Initiative workgroup. Nat Rev Nephrol 2023; 19:401-417. [PMID: 36823168 DOI: 10.1038/s41581-023-00683-3] [Citation(s) in RCA: 78] [Impact Index Per Article: 78.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2023] [Indexed: 02/25/2023]
Abstract
Sepsis-associated acute kidney injury (SA-AKI) is common in critically ill patients and is strongly associated with adverse outcomes, including an increased risk of chronic kidney disease, cardiovascular events and death. The pathophysiology of SA-AKI remains elusive, although microcirculatory dysfunction, cellular metabolic reprogramming and dysregulated inflammatory responses have been implicated in preclinical studies. SA-AKI is best defined as the occurrence of AKI within 7 days of sepsis onset (diagnosed according to Kidney Disease Improving Global Outcome criteria and Sepsis 3 criteria, respectively). Improving outcomes in SA-AKI is challenging, as patients can present with either clinical or subclinical AKI. Early identification of patients at risk of AKI, or at risk of progressing to severe and/or persistent AKI, is crucial to the timely initiation of adequate supportive measures, including limiting further insults to the kidney. Accordingly, the discovery of biomarkers associated with AKI that can aid in early diagnosis is an area of intensive investigation. Additionally, high-quality evidence on best-practice care of patients with AKI, sepsis and SA-AKI has continued to accrue. Although specific therapeutic options are limited, several clinical trials have evaluated the use of care bundles and extracorporeal techniques as potential therapeutic approaches. Here we provide graded recommendations for managing SA-AKI and highlight priorities for future research.
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Ozkaya PY, Taner S, Ersayoğlu I, Turan B, Yildirim Arslan S, Karapinar B, Kaplan Bulut I. Sepsis associated acute kidney injury in pediatric intensive care unit. Ther Apher Dial 2023; 27:73-82. [PMID: 36101487 DOI: 10.1111/1744-9987.13928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/28/2022] [Accepted: 09/08/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND We aimed to compare the acute kidney injury (AKI) incidence in pediatric septic shock patients according to the three different classifications. METHODS We analyzed retrospectively 52 patients with severe sepsis between January 2019 and December 2019. RESULTS While 21 patients have been diagnosed with SA-AKI according to the pRIFLE criteria, 20 children have been diagnosed according to the AKIN criteria, and 21 children have been diagnosed according to the KDIGO criteria. Older age, lower platelet count were determined as independently risk factor for SA-AKI. Older age and higher PRISM score were associated with mortality. According to Canonical correlation coefficients, pRIFLE is the most successful classification to distinguish AKI state. The canonical correlation coefficients for pRIFLE, KDIGO, and AKIN were 0.817, 0.648, and 0.615, respectively. CONCLUSION Although AKI incidence was similar between the three classifications, pRIFLE was the most successful classification to distinguish AKI state.
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Affiliation(s)
- Pinar Yazici Ozkaya
- Department of Pediatrics, Division of Pediatric Intensive Care, Ege University, School of Medicine, Izmir, Turkey
| | - Sevgin Taner
- Department of Pediatrics, Division of Pediatric Nephrology, Ege University, School of Medicine, Izmir, Turkey
| | - Irem Ersayoğlu
- Department of Pediatrics, Division of Pediatric Intensive Care, Ege University, School of Medicine, Izmir, Turkey
| | - Benay Turan
- Department of Pediatrics, Ege University, School of Medicine, Izmir, Turkey
| | - Sema Yildirim Arslan
- Department of Pediatrics, Division of Pediatric Nephrology, Ege University, School of Medicine, Izmir, Turkey
| | - Bülent Karapinar
- Department of Pediatrics, Division of Pediatric Intensive Care, Ege University, School of Medicine, Izmir, Turkey
| | - Ipek Kaplan Bulut
- Department of Pediatrics, Division of Pediatric Nephrology, Ege University, School of Medicine, Izmir, Turkey
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Hu J, Ananth D, Sethi SK, Taliwal N, Govindan S, Raina R. Neonatal AKI: An update. J Neonatal Perinatal Med 2023; 16:361-373. [PMID: 37718869 DOI: 10.3233/npm-230120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
Neonatal acute kidney injury (AKI) is a common complication, especially in the neonatal intensive care unit, that is associated with long term consequences and poor outcomes. Early detection and treatment is critical. Currently, neonatal AKI is defined with urinary markers and serum creatinine, with limitations on early detection and individual treatment. There have been numerous biomarkers and risk factor scores that have been studied for their ability to predict neonatal AKI. To move towards personalized medicine, neonatal AKI must be categorized into phenotypes and subphenotypes that fully encapsulate the diverse causes and specific treatments. This review aims to advance our understanding of neonatal AKI detection through the use of biomarkers, subphenotypes, and phenotypes to move towards personalized treatment strategies.
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Affiliation(s)
- J Hu
- Department of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA
| | - D Ananth
- Department of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA
| | - S K Sethi
- Pediatric Nephrology & Pediatric Kidney Transplantation, Kidney and Urology Institute, Medanta, The Medicity Hospital, Gurgaon, India
| | - N Taliwal
- Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA
| | - S Govindan
- Department of Pediatric Nephrology, Dr. Mehta's Hospitals, Chetpet and Vellapanchavadi, Chennai, India
| | - R Raina
- Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA
- Department of Nephrology, Akron Children's Hospital, Akron, OH, USA
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Abstract
PURPOSE OF REVIEW The purpose of this review is to describe acute kidney injury (AKI) phenotypes in children. RECENT FINDINGS AKI is a heterogenous disease that imposes significant morbidity and mortality on critically ill and noncritically ill patients across the age spectrum. As our understanding of AKI and its association with outcomes has improved, it is becoming increasingly apparent that there are distinct AKI subphenotypes that vary by cause or associated conditions. We have also learned that severity, duration, and repeated episodes of AKI impact outcomes, and that integration of novel urinary biomarkers of tubular injury can also reveal unique subphenotypes of AKI that may not be otherwise readily apparent. SUMMARY Studies that further delineate these unique AKI subphenotypes are needed to better understand the impact of AKI in children. Further delineation of these phenotypes has both prognostic and therapeutic implications.
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Atreya MR, Cvijanovich NZ, Fitzgerald JC, Weiss SL, Bigham MT, Jain PN, Schwarz AJ, Lutfi R, Nowak J, Allen GL, Thomas NJ, Grunwell JR, Baines T, Quasney M, Haileselassie B, Lindsell CJ, Alder MN, Wong HR. Integrated PERSEVERE and endothelial biomarker risk model predicts death and persistent MODS in pediatric septic shock: a secondary analysis of a prospective observational study. Crit Care 2022; 26:210. [PMID: 35818064 PMCID: PMC9275255 DOI: 10.1186/s13054-022-04070-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 06/21/2022] [Indexed: 11/12/2022] Open
Abstract
Background Multiple organ dysfunction syndrome (MODS) is a critical driver of sepsis morbidity and mortality in children. Early identification of those at risk of death and persistent organ dysfunctions is necessary to enrich patients for future trials of sepsis therapeutics. Here, we sought to integrate endothelial and PERSEVERE biomarkers to estimate the composite risk of death or organ dysfunctions on day 7 of septic shock. Methods We measured endothelial dysfunction markers from day 1 serum among those with existing PERSEVERE data. TreeNet® classification model was derived incorporating 22 clinical and biological variables to estimate risk. Based on relative variable importance, a simplified 6-biomarker model was developed thereafter. Results Among 502 patients, 49 patients died before day 7 and 124 patients had persistence of MODS on day 7 of septic shock. Area under the receiver operator characteristic curve (AUROC) for the newly derived PERSEVEREnce model to predict death or day 7 MODS was 0.93 (0.91–0.95) with a summary AUROC of 0.80 (0.76–0.84) upon tenfold cross-validation. The simplified model, based on IL-8, HSP70, ICAM-1, Angpt2/Tie2, Angpt2/Angpt1, and Thrombomodulin, performed similarly. Interaction between variables—ICAM-1 with IL-8 and Thrombomodulin with Angpt2/Angpt1—contributed to the models’ predictive capabilities. Model performance varied when estimating risk of individual organ dysfunctions with AUROCS ranging from 0.91 to 0.97 and 0.68 to 0.89 in training and test sets, respectively. Conclusions The newly derived PERSEVEREnce biomarker model reliably estimates risk of death or persistent organ dysfunctions on day 7 of septic shock. If validated, this tool can be used for prognostic enrichment in future pediatric trials of sepsis therapeutics. Graphical abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s13054-022-04070-5.
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Horvat CM, Fabio A, Nagin DS, Banks RK, Qin Y, Park HJ, Kernan KF, Canna SW, Berg RA, Wessel D, Pollack MM, Meert K, Hall M, Newth C, Lin JC, Doctor A, Shanley T, Cornell T, Harrison RE, Zuppa AF, Reeder RW, Sward K, Holubkov R, Notterman DA, Dean JM, Carcillo JA. Mortality Risk in Pediatric Sepsis Based on C-reactive Protein and Ferritin Levels. Pediatr Crit Care Med 2022; 23:968-979. [PMID: 36178701 PMCID: PMC9722561 DOI: 10.1097/pcc.0000000000003074] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Interest in using bedside C-reactive protein (CRP) and ferritin levels to identify patients with hyperinflammatory sepsis who might benefit from anti-inflammatory therapies has piqued with the COVID-19 pandemic experience. Our first objective was to identify patterns in CRP and ferritin trajectory among critically ill pediatric sepsis patients. We then examined the association between these different groups of patients in their inflammatory cytokine responses, systemic inflammation, and mortality risks. DATA SOURCES A prospective, observational cohort study. STUDY SELECTION Children with sepsis and organ failure in nine pediatric intensive care units in the United States. DATA EXTRACTION Two hundred and fifty-five children were enrolled. Five distinct clinical multi-trajectory groups were identified. Plasma CRP (mg/dL), ferritin (ng/mL), and 31 cytokine levels were measured at two timepoints during sepsis (median Day 2 and Day 5). Group-based multi-trajectory models (GBMTM) identified groups of children with distinct patterns of CRP and ferritin. DATA SYNTHESIS Group 1 had normal CRP and ferritin levels ( n = 8; 0% mortality); Group 2 had high CRP levels that became normal, with normal ferritin levels throughout ( n = 80; 5% mortality); Group 3 had high ferritin levels alone ( n = 16; 6% mortality); Group 4 had very high CRP levels, and high ferritin levels ( n = 121; 11% mortality); and Group 5 had very high CRP and very high ferritin levels ( n = 30; 40% mortality). Cytokine responses differed across the five groups, with ferritin levels correlated with macrophage inflammatory protein 1α levels and CRP levels reflective of many cytokines. CONCLUSIONS Bedside CRP and ferritin levels can be used together to distinguish groups of children with sepsis who have different systemic inflammation cytokine responses and mortality risks. These data suggest future potential value in personalized clinical trials with specific targets for anti-inflammatory therapies.
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Affiliation(s)
- Christopher M. Horvat
- Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
| | - Anthony Fabio
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA
| | - Daniel S. Nagin
- Department of Statistics, Carnegie Mellon University, Pittsburgh, PA
| | | | - Yidi Qin
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Hyun-Jung Park
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Kate F. Kernan
- Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
| | - Scott W. Canna
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA
| | - Robert A. Berg
- Department of Anesthesiology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - David Wessel
- Division of Critical Care Medicine, Department of Pediatrics, Children’s National Hospital, Washington, DC
| | - Murray M. Pollack
- Division of Critical Care Medicine, Department of Pediatrics, Children’s National Hospital, Washington, DC
| | - Kathleen Meert
- Division of Critical Care Medicine, Department of Pediatrics, Children’s Hospital of Michigan, Detroit, MI., Central Michigan University, Mt Pleasant MI
| | - Mark Hall
- Division of Critical Care Medicine, Department of Pediatrics, The Research Institute at Nationwide Children’s Hospital Immune Surveillance Laboratory, and Nationwide Children’s Hospital, Columbus, OH
| | - Christopher Newth
- Division of Pediatric Critical Care Medicine, Department of Anesthesiology and Pediatrics, Children’s Hospital Los Angeles, Los Angeles, CA
| | - John C. Lin
- Division of Critical Care Medicine, Department of Pediatrics, St. Louis Children’s Hospital, St. Louis, MO
| | - Allan Doctor
- Division of Critical Care Medicine, Department of Pediatrics, St. Louis Children’s Hospital, St. Louis, MO
| | - Tom Shanley
- Division of Critical Care Medicine, Department of Pediatrics, C. S. Mott Children’s Hospital, Ann Arbor, MI
| | - Tim Cornell
- Division of Critical Care Medicine, Department of Pediatrics, C. S. Mott Children’s Hospital, Ann Arbor, MI
| | - Rick E. Harrison
- Division of Critical Care Medicine, Department of Pediatrics, Mattel Children’s Hospital at University of California Los Angeles, Los Angeles, CA
| | - Athena F. Zuppa
- Department of Anesthesiology, Children’s Hospital of Philadelphia, Philadelphia, PA
| | | | | | | | | | | | - Joseph A. Carcillo
- Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA
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Vaara ST, Bhatraju PK, Stanski NL, McMahon BA, Liu K, Joannidis M, Bagshaw SM. Subphenotypes in acute kidney injury: a narrative review. Crit Care 2022; 26:251. [PMID: 35986336 PMCID: PMC9389711 DOI: 10.1186/s13054-022-04121-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 07/20/2022] [Indexed: 11/26/2022] Open
Abstract
Acute kidney injury (AKI) is a frequently encountered syndrome especially among the critically ill. Current diagnosis of AKI is based on acute deterioration of kidney function, indicated by an increase in creatinine and/or reduced urine output. However, this syndromic definition encompasses a wide variety of distinct clinical features, varying pathophysiology, etiology and risk factors, and finally very different short- and long-term outcomes. Lumping all AKI together may conceal unique pathophysiologic processes specific to certain AKI populations, and discovering these AKI subphenotypes might help to develop targeted therapies tackling unique pathophysiological processes. In this review, we discuss the concept of AKI subphenotypes, current knowledge regarding both clinical and biomarker-driven subphenotypes, interplay with AKI subphenotypes and other ICU syndromes, and potential future and clinical implications.
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Affiliation(s)
- Suvi T Vaara
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, Meilahti Hospital, University of Helsinki and Helsinki University Hospital, PO Box 340, 00290, Helsinki, Finland.
| | - Pavan K Bhatraju
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, USA
- Sepsis Center of Research Excellence (SCORE), University of Washington, Seattle, USA
| | - Natalja L Stanski
- Division of Critical Care Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, USA
| | - Blaithin A McMahon
- Division of Nephrology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA
| | - Kathleen Liu
- Divisions of Nephrology and Critical Care, Departments of Medicine and Anesthesia, University of California, San Francisco, USA
| | - Michael Joannidis
- Division of Intensive Care and Emergency Medicine, Department of Internal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada
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Peng J, Tang R, Yu Q, Wang D, Qi D. No sex differences in the incidence, risk factors and clinical impact of acute kidney injury in critically ill patients with sepsis. Front Immunol 2022; 13:895018. [PMID: 35911764 PMCID: PMC9329949 DOI: 10.3389/fimmu.2022.895018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 06/27/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundSex-stratified medicine is an important aspect of precision medicine. We aimed to compare the incidence and risk factors of acute kidney injury (AKI) for critically ill men and women with sepsis. Furthermore, the short-term mortality was compared between men and women with sepsis associated acute kidney injury (SA-AKI).MethodThis was a retrospective study based on the Medical Information Mart for Intensive Care IV database. We used the multivariable logistic regression analysis to evaluate the independent effect of sex on the incidence of SA-AKI. We further applied three machine learning methods (decision tree, random forest and extreme gradient boosting) to screen for the risk factors associated with SA-AKI in the total, men and women groups. We finally compared the intensive care unit (ICU) and hospital mortality between men and women with SA-AKI using propensity score matching.ResultsA total of 6463 patients were included in our study, including 3673 men and 2790 women. The incidence of SA-AKI was 83.8% for men and 82.1% for women. After adjustment for confounders, no significant association was observed between sex and the incidence of SA-AKI (odds ratio (OR), 1.137; 95% confidence interval (CI), 0.949-1.361; p=0.163). The machine learning results revealed that body mass index, Oxford Acute Severity of Illness Score, diuretic, Acute Physiology Score III and age were the most important risk factors of SA-AKI, irrespective of sex. After propensity score matching, men had similar ICU and hospital mortality to women.ConclusionsThe incidence and associated risk factors of SA-AKI are similar between men and women, and men and women with SA-AKI experience comparable rates of ICU and hospital mortality. Therefore, sex-related effects may play a minor role in developing SA-AKI. Our study helps to contribute to the knowledge gap between sex and SA-AKI.
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Affiliation(s)
| | | | | | | | - Di Qi
- *Correspondence: Daoxin Wang, ; Di Qi,
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19
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Diagnostic accuracy of renal angina index alone or in combination with biomarkers for predicting acute kidney injury in children. Pediatr Nephrol 2022; 37:1263-1275. [PMID: 34977984 DOI: 10.1007/s00467-021-05368-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/11/2021] [Accepted: 11/11/2021] [Indexed: 10/19/2022]
Abstract
Early recognition of patients at risk for severe acute kidney injury (AKI) by renal angina index (RAI) may help in the early institution of preventive measures. Objective was to evaluate performance of RAI alone or in combination with biomarkers in predicting severe AKI (KDIGO stage 2 and 3 or equivalent) and receipt of kidney replacement therapy (KRT) in critically ill children. We searched PubMed, EMBASE, Web of Sciences, and CENTRAL for studies published till May 2021. Search terms included acute kidney injury, pediatrics, adolescent, renal angina index, and biomarker. Proceedings of relevant conferences and references of included studies were also scrutinized. Two reviewers independently assessed the study eligibility. Cohort and cross-sectional studies evaluating the diagnostic performance of RAI in predicting AKI or receipt of KRT in children were included. Eligible participants were the children less than 18 years with RAI assessment on day 0 ofadmission. We followed PRISMA-DTA guidelines and used the QUADAS-2 tool for quality assessment. A bivariate model for meta-analysis was used to calculate the summary estimates of diagnostic parameters. Major outcomes were the diagnostic accuracy of RAI (≥ 8) alone or with biomarkers in predicting severe AKI and KRT receipt. Diagnostic accuracy was reported using summary sensitivity, specificity, and area under the curve (AUC). Overall, 22 studies (24 reports, 14,001 participants) were included. RAI ≥ 8 on day 0 has summary sensitivity, specificity, and AUC of 0.86 (95% CI, 0.77-0.92), 0.77 (0.68-0.83), and 0.88 (0.85-0.91) respectively for prediction of severe AKI on day 3. In comparison, a combination of RAI and urinary neutrophil gelatinase-associated lipocalin (NGAL) showed summary sensitivity, specificity, and AUC of 0.76 (0.62-0.85), 0.89 (0.74-0.96), and 0.87 (0.84-0.90) respectively for predicting severe AKI. The sensitivity, specificity, and AUC of RAI for predicting receipt of KRT were 0.82 (0.71-0.90), 0.74 (0.66-0.81), and 0.85 (0.81-0.88) respectively. In meta-regression, only the study setting (sepsis vs. heterogenous) was associated with heterogeneity. We observed substantial heterogeneity among eligible studies. Five studies had concerns in patient selection, and seven studies also had applicability concerns in patient selection for this review. Moderate certainty evidence showed that RAI ≥ 8 has good predicting ability in recognizing children at risk of severe AKI and receipt of KRT. The combination of urinary NGAL and RAI further improves the predicting ability (low-certainty evidence). Further studies are required on the context-driven assessment of novel biomarkers in the early prediction of AKI in RAI-positive children. Systematic review registration number: CRD4202122268. A higher resolution version of the Graphical abstract is available as Supplementary information.
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In Memoriam: Hector R. Wong, MD (1963-2022). Pediatr Crit Care Med 2022; 23:341-343. [PMID: 35583615 DOI: 10.1097/pcc.0000000000002939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Abstract
Acute kidney injury (AKI) is a complex syndrome with a paucity of therapeutic development. One aspect that could explain the lack of implementation science in the AKI field is the vast heterogeneity of the AKI syndrome, which hinders precise therapeutic applications for specific AKI subpopulations. In this context, there is a consensual focus of the scientific community toward the development and validation of tools to better subphenotype AKI and therefore facilitate precision medicine approaches. The subphenotyping of AKI requires the use of specific methodologies suitable for interrogation of multimodal data inputs from different sources such as electronic health records, organ support devices, and/or biospecimens and tissues. Over the past years, the surge of artificial intelligence applied to health care has yielded novel machine learning methodologies for data acquisition, harmonization, and interrogation that can assist with subphenotyping of AKI. However, one should recognize that although risk classification and subphenotyping of AKI is critically important, testing their potential applications is even more important to promote implementation science. For example, risk-classification should support actionable interventions that could ameliorate or prevent the occurrence of the outcome being predicted. Furthermore, subphenotyping could be applied to predict therapeutic responses to support enrichment and adaptive platforms for pragmatic clinical trials.
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22
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Odum JD, Standage S, Alder M, Zingarelli B, Devarajan P, Wong HR. Candidate Biomarkers for Sepsis-Associated Acute Kidney Injury Mechanistic Studies. Shock 2022; 57:687-693. [PMID: 35234208 PMCID: PMC9117431 DOI: 10.1097/shk.0000000000001916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Sepsis-associated acute kidney injury (SA-AKI) is a frequent complication of sepsis, yet the pathophysiologic mechanisms of SA-AKI are incompletely understood. PERSEVERE is a clinically validated serum biomarker panel with high sensitivity in predicting mortality from sepsis, and recent evidence suggests it can also predict severe, persistent SA-AKI at day 3 of hospitalization among septic children. We developed a murine model of PERSEVERE (mPERSEVERE) to further interrogate the sepsis-related biological underpinnings of SA-AKI using candidate biomarkers within mPERSEVERE. METHODS Eight-week-old C57BL/6 male mice underwent induction of sepsis by cecal ligation and puncture (CLP). mPERSEVERE biomarkers were collected at 8-hours and kidneys were harvested at 24-hours post-CLP Classification and regression tree analysis (CART) was used to generate a SA-AKI predictive model. Kidney gene expression levels of candidate biomarkers were quantified using real time polymerase chain reaction. RESULTS Thirty- five mice underwent CLP Among mice identified by mPERSEVERE as high-risk for mortality, 70% developed SA-AKI at 24-hours compared to 22% of low-risk mice. CART analysis identified two mPERSEVERE biomarkers-C-C motif chemokine ligand 3 (CCL3) and keratinocyte-derived chemokine (KC)-as most predictive for SA-AKI with an area under the receiver operating curve of 0.90. In mice that developed SA-AKI, renal expression of KC was significantly increased compared to mice without SA-AKI (p = 0.013), whereas no difference was seen in renal expression of CCL3 in mice with SA-AKI vs. no SA-AKI. KC and CCL3 localized to renal tubule epithelial cells as opposed to infiltrating immune cells by immunohistochemistry. CONCLUSIONS The combination of plasma CCL3+KC can predict SA-AKI development in mice at 24-hours following CLP Of these two biomarkers, only renal expression of KC is increased in mice with SA-AKI. Further studies are required to determine if KC directly contributes to the underlying pathobiology of SA-AKI.
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Affiliation(s)
- James D Odum
- Division of Critical Care, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Steve Standage
- Division of Critical Care, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Matthew Alder
- Division of Critical Care, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Basilia Zingarelli
- Division of Critical Care, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Prasad Devarajan
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Hector R Wong
- Division of Critical Care, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
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Fan H, Su BJ, Le JW, Zhu JH. Salidroside Protects Acute Kidney Injury in Septic Rats by Inhibiting Inflammation and Apoptosis. Drug Des Devel Ther 2022; 16:899-907. [PMID: 35386851 PMCID: PMC8978577 DOI: 10.2147/dddt.s361972] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/17/2022] [Indexed: 12/27/2022] Open
Abstract
Purpose To clarify the protective effect and mechanism of salidroside (SLDS) on acute kidney injury (AKI) in septic rats. Methods We pretreated rats with different doses of SLDS and analyzed the impact of SLDS on the survival of septic rats. We evaluated the levels of inflammatory factors in rats, the expression of NF-ƙB p65 in the kidney, and the apoptosis of kidney tubular epithelial cells (KTECs). Results SLDS significantly decreased the mortality of septic rats, and it reduced the levels of TNF-α, IL-1β, and IL-17A in plasma and kidneys and decreased the levels of serum creatinine, plasma renal injury molecule-1 and plasma neutrophil gelatin-associated lipocalin. Moreover, SLDS could significantly decrease the expression of NF-ƙB p65 in kidney tissues and the apoptotic number of KETCs, while reducing the mRNA levels of Caspase-3 and Bax mRNA, and increasing the level of Bcl-2 mRNA. Conclusion SLDS pretreatment protects against AKI in septic rats by inhibiting the inflammation of kidney and the apoptosis of KTECs.
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Affiliation(s)
- Heng Fan
- Department of Intensive Care Unit, Ningbo First Hospital, Ningbo, Zhejiang Province, People's Republic of China
| | - Bin-Jie Su
- Department of Intensive Care Unit, Ningbo First Hospital Haishu Branch, Ningbo, Zhejiang Province, People's Republic of China
| | - Jian-Wei Le
- Department of Intensive Care Unit, Ningbo First Hospital, Ningbo, Zhejiang Province, People's Republic of China
| | - Jian-Hua Zhu
- Department of Intensive Care Unit, Ningbo First Hospital, Ningbo, Zhejiang Province, People's Republic of China
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Rumpel J, Spray BJ, Chock VY, Kirkley MJ, Slagle CL, Frymoyer A, Cho SH, Gist KM, Blaszak R, Poindexter B, Courtney SE. Urine Biomarkers for the Assessment of Acute Kidney Injury in Neonates with Hypoxic Ischemic Encephalopathy Receiving Therapeutic Hypothermia. J Pediatr 2022; 241:133-140.e3. [PMID: 34547334 DOI: 10.1016/j.jpeds.2021.08.090] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 08/29/2021] [Accepted: 09/14/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To evaluate the predictive performance of urine biomarkers for acute kidney injury (AKI) in neonates with hypoxic ischemic encephalopathy (HIE) receiving therapeutic hypothermia. STUDY DESIGN We performed a multicenter prospective observational study of 64 neonates. Urine specimens were obtained at 12, 24, 48, and 72 hours of life and evaluated for neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), cystatin C, interleukin-18 (IL-18), tissue inhibitor of metalloproteinases 2 (TIMP2), and insulin-like growth factor-binding protein 7 (IGFBP7). Logistic regression models with receiver operating characteristics for area under the curve (AUC) were used to assess associations with neonatal modified KDIGO (Kidney Disease: Improving Global Outcomes) AKI criteria. RESULTS AKI occurred in 16 of 64 infants (25%). Neonates with AKI had more days of vasopressor drug use compared with those without AKI (median [IQR], 2 [0-5] days vs 0 [0-2] days; P = .026). Mortality was greater in neonates with AKI (25% vs 2%; P = .012). Although NGAL, KIM-1, and IL-18 were significantly associated with AKI, the AUCs yielded only a fair prediction. KIM-1 had the best predictive performance across time points, with an AUC (SE) of 0.79 (0.11) at 48 hours of life. NGAL and IL-18 had AUCs (SE) of 0.78 (0.09) and 0.73 (0.10), respectively, at 48 hours of life. CONCLUSIONS Urine NGAL, KIM-1, and IL-18 levels were elevated in neonates with HIE receiving therapeutic hypothermia who developed AKI. However, wide variability and unclear cutoff levels make their clinical utility unclear.
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Affiliation(s)
- Jennifer Rumpel
- Section of Neonatology, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, AR.
| | | | - Valerie Y Chock
- Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, CA
| | - Megan J Kirkley
- Section of Neonatology, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO; Department of Pediatrics, Denver Health Medical Center, Denver, CO
| | - Cara L Slagle
- Division of Neonatal and Pulmonary Biology, Cincinnati Children's Hospital, Cincinnati, OH
| | - Adam Frymoyer
- Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, CA
| | - Seo-Ho Cho
- Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Palo Alto, CA
| | - Katja M Gist
- Division of Cardiology, Department of Pediatrics, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH
| | - Richard Blaszak
- Section of Nephrology, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Brenda Poindexter
- Division of Neonatal and Pulmonary Biology, Cincinnati Children's Hospital, Cincinnati, OH; Division of Neonatology, Emory University and Children's Healthcare of Atlanta, Atlanta, GA
| | - Sherry E Courtney
- Section of Neonatology, University of Arkansas for Medical Sciences and Arkansas Children's Hospital, Little Rock, AR
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25
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Lautz AJ, Wong HR, Ryan TD, Statile CJ. Pediatric Sepsis Biomarker Risk Model Biomarkers and Estimation of Myocardial Dysfunction in Pediatric Septic Shock. Pediatr Crit Care Med 2022; 23:e20-e28. [PMID: 34560770 PMCID: PMC8738125 DOI: 10.1097/pcc.0000000000002830] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVES Sepsis-associated myocardial dysfunction is common in pediatric septic shock and negatively impacts outcomes. Early estimation of sepsis-associated myocardial dysfunction risk has the potential to inform clinical care and improve clinical trial design. The Pediatric Sepsis Biomarker Risk Model II is validated as a biomarker-based enrichment algorithm to discriminate children with septic shock with high baseline mortality probability. The objectives were to determine if Pediatric Sepsis Biomarker Risk Model biomarkers are associated with risk for sepsis-associated myocardial dysfunction in pediatric septic shock and to develop a biomarker-based model to reliably estimate sepsis-associated myocardial dysfunction risk. DESIGN Secondary analysis of prospective cohort study. SETTING Single-center, quaternary-care PICU. PATIENTS Children less than 18 years old admitted to the PICU from 2003 to 2018 who had Pediatric Sepsis Biomarker Risk Model biomarkers measured for determination of Pediatric Sepsis Biomarker Risk Model II mortality probability and an echocardiogram performed within 48 hours of septic shock identification. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Pediatric Sepsis Biomarker Risk Model II mortality probability was calculated from serum biomarker concentrations and admission platelet count. Echocardiograms were reread by a single cardiologist blinded to Pediatric Sepsis Biomarker Risk Model II data, and sepsis-associated myocardial dysfunction was defined as left ventricular ejection fraction less than 45% for primary analyses. Multivariable logistic regression analyzed the association of Pediatric Sepsis Biomarker Risk Model II mortality probability with sepsis-associated myocardial dysfunction. Classification and regression tree methodology was employed to derive a Pediatric Sepsis Biomarker Risk Model biomarker-based model for sepsis-associated myocardial dysfunction. Thirty-two of 181 children with septic shock demonstrated sepsis-associated myocardial dysfunction. Pediatric Sepsis Biomarker Risk Model II mortality probability was independently associated with sepsis-associated myocardial dysfunction (odds ratio, 1.45; 95% CI, 1.17-1.81; p = 0.001). Modeling with Pediatric Sepsis Biomarker Risk Model biomarkers estimated sepsis-associated myocardial dysfunction risk with an area under the receiver operating characteristic curve of 0.90 (95% CI, 0.85-0.95). Upon 10-fold cross-validation, the derived model had a summary area under the receiver operating characteristic curve of 0.74. Model characteristics were similar when sepsis-associated myocardial dysfunction was defined by both low left ventricular ejection fraction and abnormal global longitudinal strain. CONCLUSIONS A newly derived Pediatric Sepsis Biomarker Risk Model biomarker-based model reliably estimates risk of sepsis-associated myocardial dysfunction in pediatric septic shock, but independent prospective validation is needed.
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Affiliation(s)
- Andrew J. Lautz
- University of Cincinnati College of Medicine, Department of Pediatrics
- Cincinnati Children’s Hospital Medical Center, Division of Critical Care Medicine
| | - Hector R. Wong
- University of Cincinnati College of Medicine, Department of Pediatrics
- Cincinnati Children’s Hospital Medical Center, Division of Critical Care Medicine
| | - Thomas D. Ryan
- University of Cincinnati College of Medicine, Department of Pediatrics
- Cincinnati Children’s Hospital Medical Center, Division of Cardiology
| | - Christopher J. Statile
- University of Cincinnati College of Medicine, Department of Pediatrics
- Cincinnati Children’s Hospital Medical Center, Division of Cardiology
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26
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Pediatric sepsis biomarkers for prognostic and predictive enrichment. Pediatr Res 2022; 91:283-288. [PMID: 34127800 PMCID: PMC8202042 DOI: 10.1038/s41390-021-01620-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/27/2021] [Accepted: 05/31/2021] [Indexed: 12/29/2022]
Abstract
Sepsis is a major public health problem in children throughout the world. Given that the treatment guidelines emphasize early recognition, there is interest in developing biomarkers of sepsis, and most attention is focused on diagnostic biomarkers. While there is a need for ongoing discovery and development of diagnostic biomarkers for sepsis, this review will focus on less well-known applications of sepsis biomarkers. Among patients with sepsis, the biomarkers can give information regarding the risk of poor outcome from sepsis, risk of sepsis-related organ dysfunction, and subgroups of patients with sepsis who share underlying biological features potentially amenable to targeted therapeutics. These types of biomarkers, beyond the traditional concept of diagnosis, address the important concepts of prognostic and predictive enrichment, which are key components of bringing the promise of precision medicine to the bedside of children with sepsis.
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27
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Slagle CL, Goldstein SL, Gavigan HW, Rowe JA, Krallman KA, Kaplan HC, Liu C, Ehrlich SR, Kotagal M, Bondoc AJ, Poindexter BB. Association between Elevated Urine Neutrophil Gelatinase-Associated Lipocalin and Postoperative Acute Kidney Injury in Neonates. J Pediatr 2021; 238:193-201.e2. [PMID: 34371091 PMCID: PMC8551040 DOI: 10.1016/j.jpeds.2021.07.041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 07/13/2021] [Accepted: 07/15/2021] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To examine the incidence of postoperative neonatal acute kidney injury (AKI) following general surgical procedures and to test the hypothesis that postoperative urine neutrophil gelatinase-associated lipocalin (uNGAL) concentrations predict AKI. The secondary objective was to evaluate for an association between AKI and hospital mortality. STUDY DESIGN Prospective observational study of infants undergoing abdominal and thoracic surgical procedures in the neonatal intensive care unit from October 2018 to March 2020. The primary outcome was incidence of neonatal AKI (defined by the neonatal modified Kidney Diseases Improving Global Outcomes criteria) following each procedure to postoperative day 5. Severe AKI was defined as stage 2 or 3 AKI. Urine samples were obtained pre- and postoperatively at 6 time points to evaluate for levels of uNGAL. Secondary outcomes were in-hospital mortality and length of stay. RESULTS Subjects (n = 141) underwent a total of 192 general surgical procedures during the study period. Neonatal AKI and severe AKI occurred following 36 (18%) and 15 (8%) procedures (n = 33 subjects). Percent change of uNGAL from 24 hours preoperatively to 24 hours postoperatively was greater in subjects with neonatal AKI (190.2% [IQR 0.0, 1666.7%] vs 0.7% [IQR -31.2%,140.2%], P = .0374). The strongest association of uNGAL and AKI occurred at 24 hours postoperatively (area under the receiver operator curves of 0.81, 95% CI 0.72, 0.89). Increased mortality risk was observed in subjects with any postoperative AKI (aOR 11.1 95% CI 2.0, 62.8, P = .0063) and severe AKI (aOR 13.8; 95% CI 3.0, 63.1, P = .0007). CONCLUSION Elevation in uNGAL 24 hours postoperative was associated with AKI. Neonates with postoperative AKI had increased mortality.
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Affiliation(s)
- Cara L Slagle
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Center for Acute Care Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
| | - Stuart L Goldstein
- Center for Acute Care Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Hailey W Gavigan
- Division of Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - James A Rowe
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Kelli A Krallman
- Center for Acute Care Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Heather C Kaplan
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Chunyan Liu
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Shelley R Ehrlich
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Meera Kotagal
- Division of Pediatric General and Thoracic Surgery, Cincinnati Children's Hospital Medical Center and Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Alexander J Bondoc
- Division of Pediatric General and Thoracic Surgery, Cincinnati Children's Hospital Medical Center and Department of Surgery, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Brenda B Poindexter
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Neonatology, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, GA
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Fuhrman D. The use of diagnostic tools for pediatric AKI: applying the current evidence to the bedside. Pediatr Nephrol 2021; 36:3529-3537. [PMID: 33492454 PMCID: PMC8813176 DOI: 10.1007/s00467-021-04940-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/08/2020] [Accepted: 01/08/2021] [Indexed: 12/17/2022]
Abstract
Given the known deleterious consequences of acute kidney injury (AKI), exciting recent research efforts have focused on developing strategies for the earlier recognition of AKI in the pediatric population. Recognizing the limitations of serum creatinine, investigators have focused on the study of novel biomarkers and practical bedside tools for identifying patients at risk for AKI prior to a rise in serum creatinine. In PubMed, there are presently over 30 original research papers exploring the use of pediatric AKI risk prediction tools in just the last 2 years. The following review highlights the most recent advances in the literature regarding opportunities to refine our ability to detect AKI early. Importantly, this review discusses how prediction tools including novel urine and serum biomarkers, practical risk stratification tests, renal functional reserve, and electronic medical record alerts may ultimately be applied to routine clinical practice.
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Affiliation(s)
- Dana Fuhrman
- Department of Critical Care Medicine, Department of Pediatrics, Division of Nephrology, The Center for Critical Care Nephrology, University of Pittsburgh Medical Center Children's Hospital of Pittsburgh, 4401 Penn Avenue, Pittsburgh, PA, 15224, USA.
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29
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Stenson EK, You Z, Reeder R, Norris J, Scott HF, Dixon BP, Thurman JM, Frazer-Abel A, Mourani P, Kendrick J. Complement Activation Fragments Are Increased in Critically Ill Pediatric Patients with Severe AKI. KIDNEY360 2021; 2:1884-1891. [PMID: 35419539 PMCID: PMC8986038 DOI: 10.34067/kid.0004542021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 10/06/2021] [Indexed: 02/04/2023]
Abstract
Background Children who are critically ill with AKI suffer from high morbidity and mortality rates, and lack treatment options. Emerging evidence implicates the role of complement activation in AKI pathogenesis, which could potentially be treated with complement inhibitors. The purpose of this study is to evaluate the association between complement activation fragments and severity of AKI in children who are critically ill. Methods A biorepository of samples from children who are critically ill from a prior multisite study was leveraged to identify children with stage 3 AKI and matched to patients without AKI on the basis of PELOD-2 (illness severity) scores. Specimens were analyzed for plasma and urine complement activation fragments of factor B, C3a, C4a, and sC5b-9. The primary outcomes were MAKE30 and severe AKI rates. Results In total, 14 patients with stage 3 AKI (five requiring RRT) were matched to 14 patients without AKI. Urine factor Ba and plasma C4a levels increased stepwise as severity of AKI increased, from no AKI to stage 3 AKI, to stage 3 AKI with RRT need. Plasma C4a levels were independently associated with increased risk of MAKE30 outcomes (OR, 3.2; IQR, 1.1-8.9), and urine Ba (OR, 1.9; IQR, 1.1-3.1), plasma Bb (OR, 2.7; IQR, 1.1-6.8), C4a (OR, 13.0; IQR, 1.6-106.6), and C3a (OR, 3.3; IQR, 1.3-8.4) were independently associated with risk of severe stage 2-3 AKI on day 3 of admission. Conclusions Multiple complement fragments increase as magnitude of AKI severity increases. Very high levels of urine Ba or plasma C4a may identify patients at risk for severe AKI, hemodialysis, and MAKE30 outcomes. The fragments may be useful as a functional biomarker of complement activation and may identify those patients to study complement inhibition to treat or prevent AKI in children who are critically ill. These findings suggest the need for further specific investigations of the role of complement activation in children who are critically ill and at risk of AKI.
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Affiliation(s)
- Erin K. Stenson
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado,Department of Pediatrics, Section of Pediatric Critical Care, University of Colorado School of Medicine, Aurora, Colorado
| | - Zhiying You
- Division of Renal Disease and Hypertension, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Ron Reeder
- Department of Pediatrics, University of Utah, Salt Lake City, Utah
| | - Jesse Norris
- Department of Pediatrics, University of Utah, Salt Lake City, Utah
| | - Halden F. Scott
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado,Department of Pediatrics, Section of Pediatric Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - Bradley P. Dixon
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado,Department of Pediatrics, Section of Pediatric Nephrology, University of Colorado School of Medicine, Aurora, Colorado
| | - Joshua M. Thurman
- Division of Renal Disease and Hypertension, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Ashley Frazer-Abel
- Department of Pediatrics, Exsera BioLabs, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Peter Mourani
- Division of Critical Care Medicine, Arkansas Children’s Hospital, Little Rock, Arkansas
| | - Jessica Kendrick
- Division of Renal Disease and Hypertension, University of Colorado Anschutz Medical Campus, Aurora, Colorado
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Khemani RG, Lee JT, Wu D, Schenck EJ, Hayes MM, Kritek PA, Mutlu GM, Gershengorn HB, Coudroy R. Update in Critical Care 2020. Am J Respir Crit Care Med 2021; 203:1088-1098. [PMID: 33734938 DOI: 10.1164/rccm.202102-0336up] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Robinder G Khemani
- Pediatric ICU, Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, California.,Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jessica T Lee
- Division of Pulmonary, Allergy and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David Wu
- Section of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Edward J Schenck
- Division of Pulmonary and Critical Care Medicine, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, New York, New York.,NewYork-Presbyterian Hospital, Weill Cornell Medical Center, New York, New York
| | - Margaret M Hayes
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Patricia A Kritek
- Division of Pulmonary, Critical Care and Sleep Medicine, School of Medicine, University of Washington Seattle, Washington
| | - Gökhan M Mutlu
- Section of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Hayley B Gershengorn
- Division of Pulmonary, Critical Care, and Sleep Medicine, Miller School of Medicine, University of Miami, Miami, Florida.,Division of Critical Care Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Rémi Coudroy
- Institut National de la Santé et de la Recherche Médicale, Poitiers, France; and.,Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Poitiers, Poitiers, France
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Puskarich MA, Jennaro TS, Gillies CE, Evans CR, Karnovsky A, McHugh CE, Flott TL, Jones AE, Stringer KA. Pharmacometabolomics identifies candidate predictor metabolites of an L-carnitine treatment mortality benefit in septic shock. Clin Transl Sci 2021; 14:2288-2299. [PMID: 34216108 PMCID: PMC8604225 DOI: 10.1111/cts.13088] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 04/22/2021] [Accepted: 05/12/2021] [Indexed: 01/08/2023] Open
Abstract
Sepsis‐induced metabolic dysfunction contributes to organ failure and death. L‐carnitine has shown promise for septic shock, but a recent phase II study of patients with vasopressor‐dependent septic shock demonstrated a non‐significant reduction in mortality. We undertook a pharmacometabolomics study of these patients (n = 250) to identify metabolic profiles predictive of a 90‐day mortality benefit from L‐carnitine. The independent predictive value of each pretreatment metabolite concentration, adjusted for L‐carnitine dose, on 90‐day mortality was determined by logistic regression. A grid‐search analysis maximizing the Z‐statistic from a binomial proportion test identified specific metabolite threshold levels that discriminated L‐carnitine responsive patients. Threshold concentrations were further assessed by hazard ratio and Kaplan‐Meier estimate. Accounting for L‐carnitine treatment and dose, 11 1H‐NMR metabolites and 12 acylcarnitines were independent predictors of 90‐day mortality. Based on the grid‐search analysis numerous acylcarnitines and valine were identified as candidate metabolites of drug response. Acetylcarnitine emerged as highly viable for the prediction of an L‐carnitine mortality benefit due to its abundance and biological relevance. Using its most statistically significant threshold concentration, patients with pretreatment acetylcarnitine greater than or equal to 35 µM were less likely to die at 90 days if treated with L‐carnitine (18 g) versus placebo (p = 0.01 by log rank test). Metabolomics also identified independent predictors of 90‐day sepsis mortality. Our proof‐of‐concept approach shows how pharmacometabolomics could be useful for tackling the heterogeneity of sepsis and informing clinical trial design. In addition, metabolomics can help understand mechanisms of sepsis heterogeneity and variable drug response, because sepsis induces alterations in numerous metabolite concentrations.
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Affiliation(s)
- Michael A Puskarich
- Department of Emergency Medicine, University of Minnesota, Minneapolis, Minnesota, USA.,Department of Emergency Medicine, Hennepin County Medical Center, Minneapolis, Minnesota, USA
| | - Theodore S Jennaro
- The NMR Metabolomics Laboratory and the Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA
| | - Christopher E Gillies
- Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.,Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, Michigan, USA.,Michigan Institute for Data Science, Office of Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Charles R Evans
- Michigan Regional Comprehensive Metabolomics Resource Core (MRC2, ), University of Michigan, Ann Arbor, Michigan, USA.,Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Alla Karnovsky
- Michigan Regional Comprehensive Metabolomics Resource Core (MRC2, ), University of Michigan, Ann Arbor, Michigan, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Cora E McHugh
- The NMR Metabolomics Laboratory and the Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA
| | - Thomas L Flott
- The NMR Metabolomics Laboratory and the Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA
| | - Alan E Jones
- Department of Emergency Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Kathleen A Stringer
- The NMR Metabolomics Laboratory and the Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.,Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, Michigan, USA.,Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, School of Medicine, University of Michigan, Ann Arbor, Michigan, USA
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Stanski NL, Wong HR, Basu RK, Cvijanovich NZ, Fitzgerald JC, Weiss SL, Bigham MT, Jain PN, Schwarz A, Lutfi R, Nowak J, Allen GL, Thomas NJ, Grunwell JR, Quasney M, Haileselassie B, Chawla LS, Goldstein SL. Recalibration of the Renal Angina Index for Pediatric Septic Shock. Kidney Int Rep 2021; 6:1858-1867. [PMID: 34307980 PMCID: PMC8258591 DOI: 10.1016/j.ekir.2021.04.022] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 04/16/2021] [Indexed: 01/15/2023] Open
Abstract
Introduction Sepsis-associated acute kidney injury (AKI) is a common diagnosis in children that is associated with poor outcomes. The lack of therapeutic options once present makes early identification of at-risk patients essential. The renal angina index (RAI) has been previously validated to predict severe AKI in heterogeneous populations of critically ill children. The performance of this score specifically in children with septic shock is unknown. Methods A secondary analysis of a multicenter, prospective, observational study of 379 children with septic shock to determine the ability of the RAI to predict severe AKI at day 3, and to assess for the potential need for recalibration of the RAI in this unique subset of patients. Results At the original cutoff of ≥8, the RAI predicted day 3 severe AKI with an area under the receiving operating characteristic (AUROC) curve 0.90 (95% confidence interval [CI]: 0.86 to 93), 95% sensitivity, and 54% specificity. A Youden's index identified a higher optimal cutoff of ≥20 (sensitivity 83%, specificity 80%), and day 1 platelet count <150 × 103/μl was an independent predictor of severe AKI (adjusted odds ratio: 3.2; 95% CI: 1.7 to 6.3; P < 0.001). Recalibration of the RAI to include platelet count and this new threshold restored the sensitivity of the original ≥8 threshold (95%), while improving its specificity (69%). Conclusions The RAI appears to be a sensitive and reliable tool for prediction of severe AKI in children with septic shock, although the use of a recalibrated sepsis-specific RAI using a higher cutoff and platelet count may be beneficial.
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Affiliation(s)
- Natalja L Stanski
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Hector R Wong
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Rajit K Basu
- Children's Healthcare of Atlanta at Egleston, Atlanta, Georgia, USA
| | | | - Julie C Fitzgerald
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Scott L Weiss
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | | | - Parag N Jain
- Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA
| | - Adam Schwarz
- Children's Hospital of Orange County, Orange, California, USA
| | - Riad Lutfi
- Riley Hospital for Children, Indianapolis, Indiana, USA
| | - Jeffrey Nowak
- Children's Hospital and Clinics of Minnesota, Minneapolis, Minnesota, USA
| | | | - Neal J Thomas
- Penn State Hershey Children's Hospital, Hershey, Pennsylvania, USA
| | | | - Michael Quasney
- CS Mott Children's Hospital at the University of Michigan, Ann Arbor, Michigan, USA
| | | | | | - Stuart L Goldstein
- Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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The application of omic technologies to research in sepsis-associated acute kidney injury. Pediatr Nephrol 2021; 36:1075-1086. [PMID: 32356189 PMCID: PMC7606209 DOI: 10.1007/s00467-020-04557-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 03/26/2020] [Accepted: 03/27/2020] [Indexed: 12/25/2022]
Abstract
Acute kidney injury (AKI) is common in critically ill children and adults, and sepsis-associated AKI (SA-AKI) is the most frequent cause of AKI in the ICU. To date, no mechanistically targeted therapeutic interventions have been identified. High-throughput "omic" technologies (e.g., genomics, proteomics, metabolomics, etc.) offer a new angle of approach to achieve this end. In this review, we provide an update on the current understanding of SA-AKI pathophysiology. Omic technologies themselves are briefly discussed to facilitate interpretation of studies using them. We next summarize the body of SA-AKI research to date that has employed omic technologies. Importantly, omic studies are helping to elucidate a pathophysiology of SA-AKI centered around cellular stress responses, metabolic changes, and dysregulation of energy production that underlie its clinical features. Finally, we propose opportunities for future research using clinically relevant animal models, integrating multiple omic technologies and ultimately progressing to translational human studies focusing therapeutic strategies on targeted disease mechanisms.
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Hessey E, Melhem N, Alobaidi R, Ulrich E, Morgan C, Bagshaw SM, Sinha MD. Acute Kidney Injury in Critically Ill Children Is Not all Acute: Lessons Over the Last 5 Years. Front Pediatr 2021; 9:648587. [PMID: 33791260 PMCID: PMC8005629 DOI: 10.3389/fped.2021.648587] [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: 12/31/2020] [Accepted: 02/22/2021] [Indexed: 12/29/2022] Open
Abstract
Acute kidney injury (AKI) in the pediatric intensive care unit (PICU) is an important risk factor for increased morbidity and mortality during hospitalization. Over the past decade, accumulated data on children and young people indicates that acute episodes of kidney dysfunction can have lasting consequences on multiple organ systems and health outcomes. To date, there are no guidelines for follow-up of surviving children that may be at risk of long-term sequelae following AKI in the PICU. This narrative review aims to describe literature from the last 5 years on the risk of medium and long-term kidney and non-kidney outcomes after AKI in the PICU. More specifically, we will focus on outcomes in children and young people following AKI in the general PICU population and children undergoing cardiac surgery. These outcomes include mortality, hypertension, proteinuria, chronic kidney disease, and healthcare utilization. We also aim to highlight current gaps in knowledge in medium and long-term outcomes in this pediatric population. We suggest a framework for future research to develop evidence-based guidelines for follow-up of children surviving an episode of critical illness and AKI.
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Affiliation(s)
- Erin Hessey
- Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Nabil Melhem
- Department of Pediatric Nephrology, Evelina London Children's Hospital, London, United Kingdom
| | - Rashid Alobaidi
- Division of Pediatric Critical Care, Department of Pediatrics, University of Alberta and Stollery Children's Hospital, Edmonton, AB, Canada
| | - Emma Ulrich
- Department of Pediatric Nephrology, Stollery Children's Hospital, Edmonton, AB, Canada
| | - Catherine Morgan
- Department of Pediatric Nephrology, Stollery Children's Hospital, Edmonton, AB, Canada
| | - Sean M. Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry and Alberta Health Services—Edmonton Zone, University of Alberta, Edmonton, AB, Canada
- Alberta Critical Care Strategic Clinical Network, Alberta Health Services, Edmonton, AB, Canada
| | - Manish D. Sinha
- Department of Pediatric Nephrology, Evelina London Children's Hospital, London, United Kingdom
- King's College London, London, United Kingdom
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Raina R, Sethi SK, Mawby I, Datla N, Kumar N, Agarwal N, Tibrewal A, Chakraborty R. Re-evaluating Renal Angina Index: An Authentic, Evidence-Based Instrument for Acute Kidney Injury Assessment: Critical Appraisal. Front Pediatr 2021; 9:682672. [PMID: 34395339 PMCID: PMC8358434 DOI: 10.3389/fped.2021.682672] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/17/2021] [Indexed: 01/22/2023] Open
Abstract
Background/Introduction: Renal angina index (RAI) used to calculate and accurately predict risk for the development of acute kidney injury (AKI) has been heavily explored. AKI is traditionally diagnosed by an increase in serum creatinine (SCr) concentration or oliguria, both of which are neither specific nor sensitive, especially among children. An RAI score may be calculated by combining objective signs of kidney dysfunction (such as SCr) and patient context, such as AKI risk factors, thus potentially serving as a more accurate indicator for AKI. Objective: Due to the propitious and novel nature of RAI, this editorial commentary aims to analyze the current literature on RAI and determine how well RAI serves as a predictor of AKI outcomes. Method: A comprehensive literature search was conducted in PubMed/Medline and Google Scholar between January 2012 and July 2020. Literature included the prognostic aspect of early prediction of AKI in the pediatric and adult population via RAI. Results: The initial literature search included 149 studies, and a total of 10 studies reporting the outcomes of interest were included. The overall sample size across these studies was 11,026. The predictive ability of RAI had a pooled (95% CI) sensitivity of 79.21%, specificity of 73.22%, and negative predictive value of 94.83%. Conclusion: RAI shows benefit in the prediction of AKI among adult and pediatric populations. However, there is a lack of sufficient data, and further prospective studies are needed in pediatric populations to use RAI as a principal AKI indicator among clinicians.
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Affiliation(s)
- Rupesh Raina
- Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, United States.,Department of Nephrology, Akron Children's Hospital, Akron, OH, United States
| | - Sidharth Kumar Sethi
- Pediatric Nephrology, Kidney Institute, Medanta, The Medicity Hospital, Gurgaon, India
| | - Isabelle Mawby
- Department of Medicine, Northeast Ohio Medical School, Rootstown, OH, United States
| | - Nikhil Datla
- Department of Medicine, Northeast Ohio Medical School, Rootstown, OH, United States
| | - Nikhita Kumar
- Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, United States
| | - Nirav Agarwal
- Department of Nephrology, Akron Children's Hospital, Akron, OH, United States.,Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Abhishek Tibrewal
- Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, United States
| | - Ronith Chakraborty
- Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, United States.,Department of Nephrology, Akron Children's Hospital, Akron, OH, United States
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36
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Pediatric Sepsis Biomarker Risk Model With Outcome After PICU Discharge: A Strong Research Tool, but Let Us Not Forget Composite Prognostic Factors! Pediatr Crit Care Med 2021; 22:125-127. [PMID: 33410645 DOI: 10.1097/pcc.0000000000002621] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Odum JD, Wong HR, Stanski NL. A Precision Medicine Approach to Biomarker Utilization in Pediatric Sepsis-Associated Acute Kidney Injury. Front Pediatr 2021; 9:632248. [PMID: 33937146 PMCID: PMC8079650 DOI: 10.3389/fped.2021.632248] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 03/22/2021] [Indexed: 12/29/2022] Open
Abstract
Sepsis is a leading cause of morbidity and mortality in critically ill children, and acute kidney injury (AKI) is a frequent complication that confers an increased risk for poor outcomes. Despite the documented consequences of sepsis-associated AKI (SA-AKI), no effective disease-modifying therapies have been identified to date. As such, the only treatment options for these patients remain prevention and supportive care, both of which rely on the ability to promptly and accurately identify at risk and affected individuals. To achieve these goals, a variety of biomarkers have been investigated to help augment our currently limited predictive and diagnostic strategies for SA-AKI, however, these have had variable success in pediatric sepsis. In this mini-review, we will briefly outline the current use of biomarkers for SA-AKI, and propose a new framework for biomarker discovery and utilization that considers the individual patient's sepsis inflammatory response. Now recognized to be a key driver in the complex pathophysiology of SA-AKI, understanding the dysregulated host immune response to sepsis is a growing area of research that can and should be leveraged to improve the prediction and diagnosis of SA-AKI, while also potentially identifying novel therapeutic targets. Reframing SA-AKI in this manner - as a direct consequence of the individual patient's sepsis inflammatory response - will facilitate a precision medicine approach to its management, something that is required to move the care of this consequential disorder forward.
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Affiliation(s)
- James D Odum
- Division of Critical Care, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Hector R Wong
- Division of Critical Care, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Natalja L Stanski
- Division of Critical Care, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
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Basu RK, Hackbarth R, Gillespie S, Akcan-Arikan A, Brophy P, Bagshaw S, Alobaidi R, Goldstein SL. Clinical phenotypes of acute kidney injury are associated with unique outcomes in critically ill septic children. Pediatr Res 2021; 90:1031-1038. [PMID: 33531676 PMCID: PMC7852056 DOI: 10.1038/s41390-021-01363-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 11/04/2020] [Accepted: 12/25/2020] [Indexed: 01/31/2023]
Abstract
BACKGROUND Assessment of acute kidney injury (AKI) in septic patients remains imprecise. In adults, the classification of septic patients by clinical AKI phenotypes (severity and timing) demonstrates unique associations with patient outcome vs. broadly defined AKI. METHODS In a multinational prospective observational study, AKI diagnosis in critically ill septic children was stratified by duration (transient vs. persistent) and severity (mild vs. severe by creatinine change and urine output). The outcomes of interest were mortality and intensive care unit resource complexity at 28 days. RESULTS Seven hundred and fifty-seven septic children were studied (male 52.7%, age 4.6 years (1.5-11.9)). Mortality (overall 12.1%) was different between severe AKI and mild AKI (18.3 vs. 4.4%, p < 0.001) as well as intensive care unit (ICU) complexity (overall 34.5%, 45 vs. 21.7%, p < 0.001). Patients with Persistent AKI had fewer ICU-free days (17 (7, 21) vs. 24 (17, 26), p < 0.001) and higher ICU complexity (52.8 vs. 22.9%, p = 0.002) than transient AKI, even after exclusion of patients with early mortality. AKI phenotypes incorporating temporal and severity data correlate with unique survival (range 4.4-21.6%) and ICU-free days (range of 15-25 days) CONCLUSIONS: The outcome of septic children with AKI changes by clinical phenotype. Our findings underscore the importance of prognostic enrichment in sepsis and AKI for the purpose of trial design and patient management. IMPACT Although AKI occurs commonly in patients with sepsis (S-AKI), outcomes for children with S-AKI varies based on the severity and timing of the AKI. Existing S-AKI pediatric data utilize a broad singular definition of kidney injury. Increasing the precision of AKI classification results in a new understanding of how S-AKI associates with patient outcome. A refined classification of S-AKI identifies subgroups of children, making possible a targeted and a personalized medicine approach to S-AKI study and management.
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Affiliation(s)
- Rajit K. Basu
- grid.189967.80000 0001 0941 6502Division of Pediatric Critical Care, Children’s Healthcare of Atlanta, Emory University, Atlanta, GA USA
| | - Richard Hackbarth
- grid.416230.20000 0004 0406 3236Division of Pediatric Critical Care, Helen DeVos Children’s Hospital, Spectrum Health, Grand Rapids, MI USA
| | - Scott Gillespie
- grid.189967.80000 0001 0941 6502Department of Pediatrics, Division of Biostatistics, Emory University, Atlanta, GA USA
| | - Ayse Akcan-Arikan
- grid.416975.80000 0001 2200 2638Department of Pediatrics, Sections of Critical Care and Nephrology, Baylor College of Medicine, Texas Children’s Hospital, Houston, TX USA
| | - Patrick Brophy
- grid.438870.00000 0004 0451 2572Department of Pediatrics, Golisano Children’s Hospital, Fort Myers, FL USA
| | - Sean Bagshaw
- grid.17089.37Stollery Children’s Hospital, University of Alberta, Edmonton, AB Canada
| | - Rashid Alobaidi
- grid.17089.37Department of Pediatrics, University of Alberta, Edmonton, AB Canada
| | - Stuart L. Goldstein
- grid.239573.90000 0000 9025 8099Center for Acute Care Nephrology, Cincinnati Children’s Hospital, Cincinnati, OH USA
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Severe Kidney Injury and Sepsis: A Long Road to an Incomplete Recovery. Pediatr Crit Care Med 2020; 21:849-850. [PMID: 32890091 DOI: 10.1097/pcc.0000000000002515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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40
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Xie K, Kong S, Li F, Zhang Y, Wang J, Zhao W. Bioinformatics-Based Study to Investigate Potential Differentially Expressed Genes and miRNAs in Pediatric Sepsis. Med Sci Monit 2020; 26:e923881. [PMID: 32575108 PMCID: PMC7331480 DOI: 10.12659/msm.923881] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Sepsis is an extremely common health issue with a considerable mortality rate in children. Our understanding about the pathogenic mechanisms of sepsis is limited. The aim of this study was to identify the differential expression genes (DEGs) in pediatric sepsis through comprehensive analysis, and to provide specific insights for the clinical sepsis therapies in children. MATERIAL AND METHODS Three pediatric gene expression profiles (GSE25504, GSE26378, GSE26440) were downloaded from the Gene Expression Omnibus (GEO) database. The difference expression genes (DEGs) between pediatric sepsis and normal control group were screened with the GEO2R online tool. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the DEGs were performed. Cytoscape with CytoHubba were used to identify the hub genes. Finally, NetworkAnalyst was used to construct the targeted microRNAs (miRNAs) of the hub genes. RESULTS Totally, 160 overlapping upward genes and 61 downward genes were identified. In addition, 5 KEGG pathways, including hematopoietic cell lineage, Staphylococcus aureus infection, starch and sucrose metabolism, osteoclast differentiation, and tumor necrosis factor (TNF) signaling pathway, were significantly enriched using a database for labeling, visualization, and synthetic discovery. In combination with the results of the protein-protein interaction (PPI) network and CytoHubba, 9 hub genes including ITGAM, TLR8, IL1ß, MMP9, MPO, FPR2, ELANE, SPI1, and C3AR1 were selected. Combined with DEG-miRNAs visualization, 5 miRNAs, including has-miR-204-5p, has-miR-211-5p, has-miR-590-5p, and has-miR-21-5p, were predicted as possibly the key miRNAs. CONCLUSIONS Our findings will contribute to identification of potential biomarkers and novel strategies for pediatric sepsis treatment.
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Affiliation(s)
- Kexin Xie
- Laboratory Department, Dali University, Dali, Yunnan, China (mainland)
| | - Shan Kong
- Laboratory Department, Dali University, Dali, Yunnan, China (mainland)
| | - Fuxing Li
- Laboratory Department, Dali University, Dali, Yunnan, China (mainland)
| | - Yulin Zhang
- Laboratory Department, Dali University, Dali, Yunnan, China (mainland)
| | - Jing Wang
- School of Clinical Medicine, Dali University, Dali, Yunnan, China (mainland)
| | - Weidong Zhao
- Laboratory Department, Dali University, Dali, Yunnan, China (mainland)
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41
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Gien J, Soranno D. Identifying the Patient at Risk for Acute Kidney Injury: Pediatric Sepsis Biomarker Risk Model Study. Am J Respir Crit Care Med 2020; 201:764-766. [PMID: 32032496 PMCID: PMC7124719 DOI: 10.1164/rccm.202001-0216ed] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Jason Gien
- Department of PediatricsUniversity of ColoradoAurora, Colorado
| | - Danielle Soranno
- Department of PediatricsDepartment of Bioengineeringand.,Department of MedicineUniversity of ColoradoAurora, Colorado
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Liu KD, Goldstein SL, Vijayan A, Parikh CR, Kashani K, Okusa MD, Agarwal A, Cerdá J. AKI!Now Initiative: Recommendations for Awareness, Recognition, and Management of AKI. Clin J Am Soc Nephrol 2020; 15:1838-1847. [PMID: 32317329 PMCID: PMC7769012 DOI: 10.2215/cjn.15611219] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The American Society of Nephrology has established a new initiative, AKI!Now, with the goal of promoting excellence in the prevention and treatment of AKI by building a foundational program that transforms education and delivery of AKI care, aiming to reduce morbidity and associated mortality and to improve long-term outcomes. In this article, we describe our current efforts to improve early recognition and management involving inclusive interdisciplinary collaboration between providers, patients, and their families; discuss the ongoing need to change some of our current AKI paradigms and diagnostic methods; and provide specific recommendations to improve AKI recognition and care. In the hospital and the community, AKI is a common and increasingly frequent condition that generates risks of adverse events and high costs. Unfortunately, patients with AKI may frequently have received less than optimal quality of care. New classifications have facilitated understanding of AKI incidence and its impact on outcomes, but they are not always well aligned with AKI pathophysiology. Despite ongoing research efforts, treatments to promote or hasten kidney recovery remain ineffective. To avoid progression, the current approach to AKI emphasizes the promotion of early recognition and timely response. However, a lack of awareness of the importance of early recognition and treatment among health care team members and the heterogeneity of approaches within the health care teams assessing the patient remains a major challenge. Early identification is further complicated by differences in settings where AKI occurs (the community or the hospital), and by differences in patient populations and cultures between the intensive care unit and ward environments. To address these obstacles, we discuss the need to improve education at all levels of care and to generate specific guidance on AKI evaluation and management, including the development of a widely applicable education and an AKI management toolkit, engaging hospital administrators to incorporate AKI as a quality initiative, and raising awareness of AKI as a complication of other disease processes.
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Affiliation(s)
- Kathleen D Liu
- University of California at San Francisco School of Medicine, University of California San Francisco, San Francisco, California
| | - Stuart L Goldstein
- Center for Acute Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Anitha Vijayan
- Division of Nephrology, Washington University in St. Louis, St. Louis, Missouri
| | - Chirag R Parikh
- Division of Nephrology, Johns Hopkins University, Baltimore, Maryland
| | - Kianoush Kashani
- Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota
| | - Mark D Okusa
- Division of Nephrology, University of Virginia, Charlottesville, Virginia
| | - Anupam Agarwal
- Division of Nephrology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Jorge Cerdá
- St. Peter's Health Partners, Albany, New York
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Wei W, Yao YY, Bi HY, Zhai Z, Gao Y. miR-21 protects against lipopolysaccharide-stimulated acute kidney injury and apoptosis by targeting CDK6. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:303. [PMID: 32355747 PMCID: PMC7186673 DOI: 10.21037/atm.2020.03.01] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Septic acute kidney injury (AKI) causes a sharp deterioration of renal function, and it is a major reason for mortality in intensive care units. Although miR-21 has been proven to be dysregulated in patients with sepsis, the evidence is scarce concerning its role in mediating cellular apoptosis in AKI. Methods Mice were injected intraperitoneally with 10 mg/kg of lipopolysaccharide (LPS) to establish septic AKI model, miR-21 mimic and inhibitor were used to manipulate the expression of miR-21, the creatinine levels were detected by a creatinine assay kit, the renal cell proliferation and apoptosis were detected by MTT assay, flow cytometry assay and acridine orange/ethidium bromide (AO/EB) fluorescence staining, the renal function was evaluated by renal histology and tubular injury score, western blot analysis was used to detect the target protein levels. Several bioinformatics tools were performed to show the downstream target of miR-21, and further confirmed by luciferase reporter assay and caspase-3 activity assay. Results miR-21 silencing was able to promote renal function and decrease LPS-stimulated renal cell apoptosis in vitro and in vivo, and it could decrease the Bax/Bcl-2 ratio and caspase-3 activity. On the contrary, miR-21 overexpression had the opposite effects. Cyclin-dependent kinase 6 (CDK6) was confirmed as a target gene of miR-21 and was associated with renal cell apoptosis. Moreover, miR-21 was also found to be up-regulated in septic AKI. Conclusions Current evidences suggest that miR-21 has a potential application in treating septic AKI.
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Affiliation(s)
- Wei Wei
- Department of Intensive Care Unit, The Fourth Affiliated Hospital of Harbin, Medical University, Harbin 150080, China
| | - Yuan-Yuan Yao
- Department of General Internal Medicine, Harbin Red Cross Center Hospital, Harbin 150080, China
| | - Hong-Yuan Bi
- Department of Intensive Care Unit, The Fourth Affiliated Hospital of Harbin, Medical University, Harbin 150080, China
| | - Zhe Zhai
- Department of Intensive Care Unit, The Fourth Affiliated Hospital of Harbin, Medical University, Harbin 150080, China
| | - Yan Gao
- Department of Intensive Care Unit, The Fourth Affiliated Hospital of Harbin, Medical University, Harbin 150080, China
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