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Qiu J, Zimmet AN, Bell TD, Gadrey S, Brandberg J, Maldonado S, Zimmet AM, Ratcliffe S, Chernyavskiy P, Moorman JR, Clermont G, Henry TR, Nguyen NR, Moore CC. Pathophysiological Responses to Bloodstream Infection in Critically Ill Transplant Recipients Compared With Non-Transplant Recipients. Clin Infect Dis 2024; 78:1011-1021. [PMID: 37889515 DOI: 10.1093/cid/ciad662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/12/2023] [Accepted: 10/25/2023] [Indexed: 10/28/2023] Open
Abstract
BACKGROUND Identification of bloodstream infection (BSI) in transplant recipients may be difficult due to immunosuppression. Accordingly, we aimed to compare responses to BSI in critically ill transplant and non-transplant recipients and to modify systemic inflammatory response syndrome (SIRS) criteria for transplant recipients. METHODS We analyzed univariate risks and developed multivariable models of BSI with 27 clinical variables from adult intensive care unit (ICU) patients at the University of Virginia (UVA) and at the University of Pittsburgh (Pitt). We used Bayesian inference to adjust SIRS criteria for transplant recipients. RESULTS We analyzed 38.7 million hourly measurements from 41 725 patients at UVA, including 1897 transplant recipients with 193 episodes of BSI and 53 608 patients at Pitt, including 1614 transplant recipients with 768 episodes of BSI. The univariate responses to BSI were comparable in transplant and non-transplant recipients. The area under the receiver operating characteristic curve (AUC) was 0.82 (95% confidence interval [CI], .80-.83) for the model using all UVA patient data and 0.80 (95% CI, .76-.83) when using only transplant recipient data. The UVA all-patient model had an AUC of 0.77 (95% CI, .76-.79) in non-transplant recipients and 0.75 (95% CI, .71-.79) in transplant recipients at Pitt. The relative importance of the 27 predictors was similar in transplant and non-transplant models. An upper temperature of 37.5°C in SIRS criteria improved reclassification performance in transplant recipients. CONCLUSIONS Critically ill transplant and non-transplant recipients had similar responses to BSI. An upper temperature of 37.5°C in SIRS criteria improved BSI screening in transplant recipients.
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Affiliation(s)
- Jiaxing Qiu
- Department of Medicine, Division of Cardiovascular Diseases, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Alex N Zimmet
- Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Taison D Bell
- Department of Medicine, Division of Pulmonary and Critical Care Medicine and Division of Infectious Diseases and International Health, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Shrirang Gadrey
- Department of Medicine, Division of Hospital Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Jackson Brandberg
- Department of Medicine, Division of Cardiovascular Diseases, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Samuel Maldonado
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Harvard University School of Medicine, Boston, Massachusetts, USA
| | - Amanda M Zimmet
- Department of Medicine, Division of Cardiovascular Diseases, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Sarah Ratcliffe
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Pavel Chernyavskiy
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - J Randall Moorman
- Department of Medicine, Division of Cardiovascular Diseases, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Gilles Clermont
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Teague R Henry
- Department of Psychology and School of Data Science, University of Virginia, Charlottesville, Virginia, USA
| | - N Rich Nguyen
- Department of Computer Science, University of Virginia School of Engineering, Charlottesville, Virginia, USA
| | - Christopher C Moore
- Department of Medicine, Division of Infectious Diseases and International Health, Center for Advanced Medical Analytics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
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Fuhrman DY, Stenson EK, Alhamoud I, Alobaidi R, Bottari G, Fernandez S, Guzzi F, Haga T, Kaddourah A, Marinari E, Mohamed TH, Morgan CJ, Mottes T, Neumayr TM, Ollberding NJ, Raggi V, Ricci Z, See E, Stanski NL, Zang H, Zangla E, Gist KM. Major Adverse Kidney Events in Pediatric Continuous Kidney Replacement Therapy. JAMA Netw Open 2024; 7:e240243. [PMID: 38393726 PMCID: PMC10891477 DOI: 10.1001/jamanetworkopen.2024.0243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/26/2023] [Indexed: 02/25/2024] Open
Abstract
Importance Continuous kidney replacement therapy (CKRT) is increasingly used in youths with critical illness, but little is known about longer-term outcomes, such as persistent kidney dysfunction, continued need for dialysis, or death. Objective To characterize the incidence and risk factors, including liberation patterns, associated with major adverse kidney events 90 days after CKRT initiation (MAKE-90) in children, adolescents, and young adults. Design, Setting, and Participants This international, multicenter cohort study was conducted among patients aged 0 to 25 years from The Worldwide Exploration of Renal Replacement Outcomes Collaborative in Kidney Disease (WE-ROCK) registry treated with CKRT for acute kidney injury or fluid overload from 2015 to 2021. Exclusion criteria were dialysis dependence, concurrent extracorporeal membrane oxygenation use, or receipt of CKRT for a different indication. Data were analyzed from May 2 to December 14, 2023. Exposure Patient clinical characteristics and CKRT parameters were assessed. CKRT liberation was classified as successful, reinstituted, or not attempted. Successful liberation was defined as the first attempt at CKRT liberation resulting in 72 hours or more without return to dialysis within 28 days of CKRT initiation. Main Outcomes and Measures MAKE-90, including death or persistent kidney dysfunction (dialysis dependence or ≥25% decline in estimated glomerular filtration rate from baseline), were assessed. Results Among 969 patients treated with CKRT (529 males [54.6%]; median [IQR] age, 8.8 [1.7-15.0] years), 630 patients (65.0%) developed MAKE-90. On multivariable analysis, cardiac comorbidity (adjusted odds ratio [aOR], 1.60; 95% CI, 1.08-2.37), longer duration of intensive care unit admission before CKRT initiation (aOR for 6 days vs 1 day, 1.07; 95% CI, 1.02-1.13), and liberation pattern were associated with MAKE-90. In this analysis, patients who successfully liberated from CKRT within 28 days had lower odds of MAKE-90 compared with patients in whom liberation was attempted and failed (aOR, 0.32; 95% CI, 0.22-0.48) and patients without a liberation attempt (aOR, 0.02; 95% CI, 0.01-0.04). Conclusions and Relevance In this study, MAKE-90 occurred in almost two-thirds of the population and patient-level risk factors associated with MAKE-90 included cardiac comorbidity, time to CKRT initiation, and liberation patterns. These findings highlight the high incidence of adverse outcomes in this population and suggest that future prospective studies are needed to better understand liberation patterns and practices.
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Affiliation(s)
- Dana Y. Fuhrman
- University of Pittsburgh Medical Center Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Erin K. Stenson
- Children’s Hospital Colorado, University of Colorado School of Medicine, Aurora
| | - Issa Alhamoud
- University of Iowa Stead Family Children’s Hospital, Carver College of Medicine, Iowa City
| | | | | | - Sarah Fernandez
- Gregorio Marañón University Hospital, School of Medicine, Madrid, Spain
| | | | - Taiki Haga
- Osaka City General Hospital, Osaka, Japan
| | - Ahmad Kaddourah
- Sidra Medicine, Doha, Qatar
- Weill Cornell Medical College, Ar-Rayyan, Qatar
| | | | - Tahagod H. Mohamed
- Nationwide Children’s Hospital, The Heart Center, The Ohio State University College of Medicine, Columbus
| | | | - Theresa Mottes
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
| | - Tara M. Neumayr
- Washington University School of Medicine, St Louis Children’s Hospital, St Louis, Missouri
| | - Nicholas J. Ollberding
- Cincinnati Children’s Hospital Medical Center; University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Valeria Raggi
- Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | | | - Emily See
- Royal Children’s Hospital, University of Melbourne, Murdoch Children’s Research Institute, Melbourne, Victoria, Australia
| | - Natalja L. Stanski
- Cincinnati Children’s Hospital Medical Center; University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Huaiyu Zang
- Cincinnati Children’s Hospital Medical Center; University of Cincinnati College of Medicine, Cincinnati, Ohio
| | | | - Katja M. Gist
- Cincinnati Children’s Hospital Medical Center; University of Cincinnati College of Medicine, Cincinnati, Ohio
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3
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Fuhrman DY, Thadani S, Hanson C, Carcillo JA, Kellum JA, Park HJ, Lu L, Kim-Campbell N, Horvat CM, Arikan AA. Therapeutic Plasma Exchange Is Associated With Improved Major Adverse Kidney Events in Children and Young Adults With Thrombocytopenia at the Time of Continuous Kidney Replacement Therapy Initiation. Crit Care Explor 2023; 5:e0891. [PMID: 37066071 PMCID: PMC10097539 DOI: 10.1097/cce.0000000000000891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023] Open
Abstract
Therapeutic plasma exchange (TPE) has been shown to improve organ dysfunction and survival in patients with thrombotic microangiopathy and thrombocytopenia associated with multiple organ failure. There are no known therapies for the prevention of major adverse kidney events after continuous kidney replacement therapy (CKRT). The primary objective of this study was to evaluate the effect of TPE on the rate of adverse kidney events in children and young adults with thrombocytopenia at the time of CKRT initiation. DESIGN Retrospective cohort. SETTING Two large quaternary care pediatric hospitals. PATIENTS All patients less than or equal to 26 years old who received CKRT between 2014 and 2020. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS We defined thrombocytopenia as a platelet count less than or equal to 100,000 (cell/mm3) at the time of CKRT initiation. We ascertained major adverse kidney events at 90 days (MAKE90) after CKRT initiation as the composite of death, need for kidney replacement therapy, or a greater than or equal to 25% decline in estimated glomerular filtration rate from baseline. We performed multivariable logistic regression and propensity score weighting to analyze the relationship between the use of TPE and MAKE90. After excluding patients with a diagnosis of thrombotic thrombocytopenia purpura and atypical hemolytic uremic syndrome (n = 6) and with thrombocytopenia due to a chronic illness (n = 2), 284 of 413 total patients (68.8%) had thrombocytopenia at CKRT initiation (51% female). Of the patients with thrombocytopenia, the median (interquartile range) age was 69 months (13-128 mo). MAKE90 occurred in 69.0% and 41.5% received TPE. The use of TPE was independently associated with reduced MAKE90 by multivariable analysis (odds ratio [OR], 0.35; 95% CI, 0.20-0.60) and by propensity score weighting (adjusted OR, 0.31; 95% CI, 0.16-0.59). CONCLUSIONS Thrombocytopenia is common in children and young adults at CKRT initiation and is associated with increased MAKE90. In this subset of patients, our data show benefit of TPE in reducing the rate of MAKE90.
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Affiliation(s)
- Dana Y Fuhrman
- Department of Critical Care Medicine, Division of Pediatric Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
- Department of Pediatrics, Division of Nephrology, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
- The Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Sameer Thadani
- Department of Pediatrics, Division of Nephrology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX
| | - Claire Hanson
- Department of Critical Care Medicine, Division of Pediatric Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
| | - Joseph A Carcillo
- Department of Critical Care Medicine, Division of Pediatric Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
- The Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
| | - John A Kellum
- The Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Hyun Jung Park
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Liling Lu
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA
| | - Nahmah Kim-Campbell
- Department of Critical Care Medicine, Division of Pediatric Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
| | - Christopher M Horvat
- Department of Critical Care Medicine, Division of Pediatric Critical Care Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
- Department of Pediatrics, Division of Health Informatics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA
| | - Ayse Akcan Arikan
- Department of Pediatrics, Division of Nephrology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX
- Department of Pediatrics, Division of Critical Care Medicine, Baylor College of Medicine, Texas Children's Hospital, Houston, TX
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4
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Formeck CL, Feldman R, Althouse AD, Kellum JA. Risk and Timing of De Novo Sepsis in Critically Ill Children after Acute Kidney Injury. Kidney360 2023; 4:308-315. [PMID: 36996298 PMCID: PMC10103342 DOI: 10.34067/kid.0005082022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 12/18/2022] [Indexed: 12/23/2022]
Abstract
Key Points Critically ill children who developed AKI have a 42% increase in the probability of developing subsequent hospital-acquired sepsis when compared with children without AKI. When evaluating risk of sepsis over time, children with stage 3 AKI remain at increased risk for sepsis for at least 2 weeks after AKI onset. Medical providers should monitor for signs of sepsis after AKI and limit exposures that may increase the risk for infection. Background AKI is common among critically ill children and is associated with an increased risk for de novo infection; however, little is known about the epidemiology and temporal relationship between AKI and AKI-associated infection in this cohort. Methods We conducted a single-center retrospective cohort study of children admitted to the pediatric and cardiac intensive care units (ICUs) at a tertiary pediatric care center. The relationship between nonseptic AKI and the development of hospital-acquired sepsis was assessed using Cox proportional hazards models using AKI as a time-varying covariate. Results Among the 5695 children included in this study, AKI occurred in 20.2% from ICU admission through 30 days. Hospital-acquired sepsis occurred twice as often among children with AKI compared with those without AKI (10.1% versus 4.6%) with an adjusted hazard ratio of 1.42 (95% confidence interval, 1.12 to 1.81). Among the 117 children who developed sepsis after AKI, 80.3% developed sepsis within 7 days and 96.6% within 14 days of AKI onset, with a median time from AKI onset to sepsis of 2.6 days (interquartile range, 1.5–4.7). When assessing change in risk over time, the hazard rate for sepsis remained elevated for children with stage 3 AKI compared with children without AKI at 13.5 days after AKI onset, after which the estimation of hazard rates was limited by the number of children remaining in the hospital. Conclusions AKI is an independent risk factor for de novo sepsis. Critically ill children with stage 3 AKI remain at increased risk for sepsis at 13.5 days after AKI onset.
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Affiliation(s)
- Cassandra L. Formeck
- Division of Nephrology, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania
- Program for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Robert Feldman
- Center for Research on Health Care Data Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Andrew D. Althouse
- Center for Research on Health Care Data Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - John A. Kellum
- Program for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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5
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Marchiset A, Serazin V, Ben Hadj Salem O, Pichereau C, Lima Da Silva L, Au SM, Barbier C, Loubieres Y, Hayon J, Gross J, Outin H, Jamme M. Risk Factors of AKI in Acute Respiratory Distress Syndrome: A Time-Dependent Competing Risk Analysis on Severe COVID-19 Patients. Can J Kidney Health Dis 2023; 10:20543581221145073. [PMID: 36643941 PMCID: PMC9834615 DOI: 10.1177/20543581221145073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 11/08/2022] [Indexed: 01/11/2023] Open
Abstract
Introduction Acute kidney injury (AKI) is frequently observed in patients with COVID-19 admitted to intensive care units (ICUs). Observational studies suggest that cardiovascular comorbidities and mechanical ventilation (MV) are the most important risk factors for AKI. However, no studies have investigated the renal impact of longitudinal covariates such as drug treatments, biological variations, and/or MV parameters. Methods We performed a monocentric, prospective, longitudinal analysis to identify the dynamic risk factors for AKI in ICU patients with severe COVID-19. Results Seventy-seven patients were included in our study (median age: 63 [interquartile range, IQR: 53-73] years; 58 (75%) men). Acute kidney injury was detected in 28 (36.3%) patients and occurred at a median time of 3 [IQR: 2-6] days after ICU admission. Multivariate Cox cause-specific time-dependent analysis identified a history of hypertension (cause-specific hazard (CSH) = 2.46 [95% confidence interval, CI: 1.04-5.84]; P = .04), a high hemodynamic Sequential Organ Failure Assessment score (CSH = 1.63 [95% CI: 1.23-2.16]; P < .001), and elevated Paco2 (CSH = 1.2 [95%CI: 1.04-1.39] per 5 mm Hg increase in Pco2; P = .02) as independent risk factors for AKI. Concerning the MV parameters, positive end-expiratory pressure (CSH = 1.11 [95% CI: 1.01-1.23] per 1 cm H2O increase; P = .04) and the use of neuromuscular blockade (CSH = 2.96 [95% CI: 1.22-7.18]; P = .02) were associated with renal outcome only in univariate analysis but not after adjustment. Conclusion Acute kidney injury is frequent in patients with severe COVID-19 and is associated with a history of hypertension, the presence of hemodynamic failure, and increased Pco2. Further studies are necessary to evaluate the impact of hypercapnia on increasing the effects of ischemia, particularly in the most at-risk vascular situations.
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Affiliation(s)
- Antoine Marchiset
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Valerie Serazin
- Laboratoire de biologie, Centre
hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Omar Ben Hadj Salem
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Claire Pichereau
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Lionel Lima Da Silva
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Siu-Ming Au
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Christophe Barbier
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Yann Loubieres
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Jan Hayon
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Julia Gross
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Herve Outin
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France
| | - Matthieu Jamme
- Médecine intensive - Réanimation,
Centre hospitalier de Poissy - Saint Germain en Laye, Poissy, France,INSERM U1018, Centre de recherche en
épidémiologie et santé des populations, Equipe “Epidémiologie clinique”, Université
Paris Saclay, Villejuif, France,Réanimation et Unité de Soins Continus,
Hôpital privé de l’Ouest Parisien, Ramsay Générale de santé, Trappes, France,Matthieu Jamme, Réanimation et Unité de
Soins Continus, Hôpital privé de l’Ouest Parisien, Ramsay Générale de santé, 14
rue Castiglione del lago, Trappes 78190, France.
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6
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Murad O, Orjuela Cruz DF, Goldman A, Stern T, van Heerden PV. Improving awareness of kidney function through electronic urine output monitoring: a comparative study. BMC Nephrol 2022; 23:412. [PMID: 36572867 PMCID: PMC9792308 DOI: 10.1186/s12882-022-03046-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 12/19/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The current classification for acute kidney injury (AKI) according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria integrates both serum creatinine (SCr) and urine output (UO). Most reports on AKI claim to use KDIGO guidelines but fail to include the UO criterion. It has been shown that patients who had intensive UO monitoring, with or without AKI, had significantly less cumulative fluid volume and fluid overload, reduced vasopressor use, and improved 30-day mortality. We examined whether real-time monitoring of this simple, sensitive, and easy-to-use biomarker in the ICU led to more appropriate intervention by healthcare providers and better outcomes. METHODS: RenalSense Clarity RMS Consoles were installed in the General ICU at the Hadassah Medical Center, Israel, from December 2019 to November 2020. The Clarity RMS system continuously and electronically monitors UO in real-time. 100 patients were randomly selected from this period as the study group (UOelec) and compared to a matched control group (UOmanual) from the same period two years earlier. To test whether there was an association between oliguric hours and fluid treatment in each group, the correlation was calculated and analyzed for each of the different UO monitoring methods. RESULTS Therapeutic intervention: The correlation of the sum of all oliguric hours on Day 1 and 2 with the sum of any therapeutic intervention (fluid bolus or furosemide) showed a significant correlation for the study group UOelec (P = 0.017). The matched control group UOmanual showed no such correlation (P = 0.932). Length of Stay (LOS): Median LOS [IQR] in the ICU of UOelec versus UOmanual was 69.46 [44.7, 125.9] hours and 116.5 [62.46, 281.3] hours, respectively (P = 0.0002). CONCLUSIONS The results of our study strongly suggest that ICU patients had more meaningful and better medical intervention, and improved outcomes, with electronic UO monitoring than with manual monitoring.
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Affiliation(s)
- Omar Murad
- grid.17788.310000 0001 2221 2926The Hadassah Medical Center, Jerusalem, Israel
| | | | - Aliza Goldman
- Clinical Research Department, RenalSense Ltd, 3 Hamarpe St, Har Hotzvim, Jerusalem, Israel
| | - Tal Stern
- Clinical Research Department, RenalSense Ltd, 3 Hamarpe St, Har Hotzvim, Jerusalem, Israel
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7
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Formeck CL, Siripong N, Joyce EL, Ayus JC, Kellum JA, Moritz ML. Association of early hyponatremia and the development of acute kidney injury in critically ill children. Pediatr Nephrol 2022; 37:2755-2763. [PMID: 35211792 PMCID: PMC9399308 DOI: 10.1007/s00467-022-05478-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 01/21/2022] [Accepted: 01/24/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Hyponatremia is an independent prognostic factor for mortality; however, the reason for this remains unclear. An observed relationship between hyponatremia and the development of acute kidney injury (AKI) has been reported in certain disease states, but hyponatremia has not been evaluated as a predictor of AKI in critically ill patients or children. METHODS This is a single-center retrospective cohort study of critically ill children admitted to a tertiary care center. We performed regression analysis to assess the association between hyponatremia at ICU admission and the development of new or worsening stage 2 or 3 (severe) AKI on days 2-3 following ICU admission. RESULTS Among the 5057 children included in the study, early hyponatremia was present in 13.3% of children. Severe AKI occurred in 9.2% of children with hyponatremia compared to 4.5% of children with normonatremia. Following covariate adjustment, hyponatremia at ICU admission was associated with a 75% increase in the odds of developing severe AKI when compared to critically ill children with normonatremia (aOR 1.75, 95% CI 1.28-2.39). Evaluating sodium levels continuously, for every 1 mEq/L decrease in serum sodium level, there was a 0.05% increase in the odds of developing severe AKI (aOR 1.05, 95% CI 1.02-1.08). Hyponatremic children who developed severe AKI had a higher frequency of kidney replacement therapy, AKI or acute kidney disease at hospital discharge, and hospital mortality when compared to those without. CONCLUSIONS Hyponatremia at ICU admission is associated with the development of new or worsening AKI in critically ill children. A higher resolution version of the Graphical abstract is available as Supplementary information.
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Affiliation(s)
- Cassandra L Formeck
- Division of Nephrology, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA.
- Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA.
| | - Nalyn Siripong
- Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, PA, USA
| | - Emily L Joyce
- Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA
- Division of Nephrology, Department of Pediatrics, University Hospitals Rainbow Babies & Children's Hospital, Cleveland, OH, USA
| | - Juan C Ayus
- School of Medicine, University of California, Irvine, CA, USA
| | - John A Kellum
- Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, USA
- Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA
| | - Michael L Moritz
- Division of Nephrology, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
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8
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Ethgen O, Zarbock A, Koyner JL, Echeverri J, Harenski K, Priyanka P, Kellum JA. Early versus delayed initiation of renal replacement therapy in cardiac-surgery associated acute kidney injury: an economic perspective. J Crit Care 2022; 69:153977. [DOI: 10.1016/j.jcrc.2021.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 10/07/2021] [Accepted: 12/15/2021] [Indexed: 11/27/2022]
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9
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Laing C. Database Research in Acute Kidney Injury: Time to Take Stock? Am J Kidney Dis 2022; 79:483-485. [PMID: 35181156 DOI: 10.1053/j.ajkd.2021.09.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 09/29/2021] [Indexed: 11/11/2022]
Affiliation(s)
- Chris Laing
- UCL Centre for Nephrology, University College London Hospitals, and Royal Free Hospital, London, United Kingdom.
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10
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Abstract
OBJECTIVES Acute kidney injury is a major cause of morbidity and mortality in critically ill children. A growing body of evidence has shown that acute kidney injury affects immune function, yet little is known about the association between acute kidney injury and subsequent infection in pediatric patients. Our objective was to examine the association of non-septic acute kidney injury with the development of subsequent sepsis in critically ill children. DESIGN A single-center retrospective cohort study. SETTING The pediatric and cardiac ICUs at a tertiary pediatric care center. PATIENTS All patients 0-18 years old without a history of chronic kidney disease, who did not have sepsis prior to or within the initial 48 hours of ICU admission. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS We analyzed data for 5,538 children (median age, 5.3 yr; 58.2% male), and identified 255 (4.6%) with stage 2 or 3 acute kidney injury. Suspected sepsis occurred in 46 children (18%) with stage 2 or 3 acute kidney injury compared to 286 children (5.4%) with stage 1 or no acute kidney injury. On adjusted analysis, children with stage 2 or 3 acute kidney injury had 2.05 times greater odds of developing sepsis compared to those with stage 1 or no acute kidney injury (95% CI, 1.39-3.03; p < 0.001). Looking at acute kidney injury severity, children with stage 2 and 3 acute kidney injury had a 1.79-fold (95% CI, 1.15-2.79; p = 0.01) and 3.24-fold (95% CI, 1.55-6.80; p = 0.002) increased odds of developing suspected sepsis, respectively. CONCLUSIONS Acute kidney injury is associated with an increased risk for subsequent infection in critically ill children. These results further support the concept of acute kidney injury as a clinically relevant immunocompromised state.
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Affiliation(s)
- Cassandra L. Formeck
- Division of Nephrology, Department of Pediatrics, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine
- CRISMA Center (Clinical Research, Investigation, and Systems Modeling of Acute Illness), Department of Critical Care Medicine, University of Pittsburgh School of Medicine
| | - Emily L. Joyce
- Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine
- Division of Nephrology, Department of Pediatrics, University Hospitals Rainbow Babies & Children’s, Cleveland, Ohio, USA
| | - Dana Y. Fuhrman
- Division of Nephrology, Department of Pediatrics, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine
- CRISMA Center (Clinical Research, Investigation, and Systems Modeling of Acute Illness), Department of Critical Care Medicine, University of Pittsburgh School of Medicine
- Department of Critical Care Medicine, UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA
| | - John A. Kellum
- Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine
- CRISMA Center (Clinical Research, Investigation, and Systems Modeling of Acute Illness), Department of Critical Care Medicine, University of Pittsburgh School of Medicine
- Department of Critical Care Medicine, UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15261, USA
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11
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Gomez H, Priyanka P, Bataineh A, Keener CM, Clermont G, Kellum JA. Effects of 5% Albumin Plus Saline Versus Saline Alone on Outcomes From Large-Volume Resuscitation in Critically Ill Patients. Crit Care Med 2021; 49:79-90. [PMID: 33165027 PMCID: PMC7746571 DOI: 10.1097/ccm.0000000000004706] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To compare 5% albumin with 0.9% saline for large-volume resuscitation (> 60 mL/Kg within 24 hr), on mortality and development of acute kidney injury. DESIGN Retrospective cohort study. SETTING Patients admitted to ICUs in 13 hospitals across Western Pennsylvania. We analyzed two independent cohorts, the High-Density Intensive Care databases: High-Density Intensive Care-08 (July 2000 to October 2008, H08) and High-Density Intensive Care-15 (October 2008 to December 2014, H15). PATIENTS Total of 18,629 critically ill patients requiring large-volume resuscitation. INTERVENTIONS Five percent of albumin in addition to saline versus 0.9% saline. MEASUREMENTS AND MAIN RESULTS After excluding patients with acute kidney injury prior to large-volume resuscitation, 673 of 2,428 patients (27.7%) and 1,814 of 16,201 patients (11.2%) received 5% albumin in H08 and H15, respectively. Use of 5% albumin was associated with decreased 30-day mortality by multivariate regression in H08 (odds ratio 0.65; 95% CI 0.49-0.85; p = 0.002) and in H15 (0.52; 95% CI 0.44-0.62; p < 0.0001) but was associated with increased acute kidney injury in H08 (odds ratio 1.98; 95% CI 1.56-2.51; p < 0.001) and in H15 (odds ratio 1.75; 95% CI 1.58-1.95; p < 0.001). However, 5% albumin was not associated with persistent acute kidney injury and resulted in decreased major adverse kidney event at 30, 90, and 365 days. Propensity matched analysis confirmed similar associations with mortality and acute kidney injury. CONCLUSIONS During large-volume resuscitation, 5% albumin was associated with reduced mortality and major adverse kidney event at 30, 90, and 365 days. However, a higher rate of acute kidney injury of any stage was observed that did not translate into persistent renal dysfunction.
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Affiliation(s)
- Hernando Gomez
- The Center for Critical Care Nephrology, University of Pittsburgh, Pittsburgh, PA
- CRISMA (Clinical Research Investigation and Systems Modeling of Acute illness) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Priyanka Priyanka
- The Center for Critical Care Nephrology, University of Pittsburgh, Pittsburgh, PA
| | - Ayham Bataineh
- The Center for Critical Care Nephrology, University of Pittsburgh, Pittsburgh, PA
- Division of Nephrology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | | | - Gilles Clermont
- CRISMA (Clinical Research Investigation and Systems Modeling of Acute illness) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
| | - John A. Kellum
- The Center for Critical Care Nephrology, University of Pittsburgh, Pittsburgh, PA
- CRISMA (Clinical Research Investigation and Systems Modeling of Acute illness) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA
- Division of Nephrology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
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12
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Abstract
OBJECTIVE To assess the validity of an electronic version of the Pediatric Index of Mortality 2 score. DESIGN Retrospective observational study. SETTING Pediatric and cardiac ICUs at a quaternary medical center. PATIENTS Patients more than 60 days old admitted to the PICU or cardiac ICU between January 1, 2010, and December 31, 2014. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS After adapting the Pediatric Index of Mortality 2 score into a version applicable to retrospective electronic health record data, it was validated in a mixed-ICU cohort. A manually ascertained Pediatric Index of Mortality 2 score was directly compared with the electronically derived electronic version of the Pediatric Index of Mortality 2 score in 100 randomly selected patients with good agreement between score components with nine out of 11 components having an intraclass correlation coefficient or Cohen κ greater than or equal to 0.6. In assessing the electronic version of the Pediatric Index of Mortality 2 score in the entire cohort of 12,582 patient encounters, it had good discrimination with area under the receiver operating curve of 0.89, appropriate calibration with no significant difference between observed and expected deaths, and excellent predictive ability with a Brier score of 0.0135. CONCLUSIONS The Pediatric Index of Mortality 2 score can be adapted to utilize retrospective electronic health record data with acceptable discrimination, calibration and accuracy a large mixed-ICU cohort.
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13
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Joyce EL, Kane-Gill SL, Priyanka P, Fuhrman DY, Kellum JA. Piperacillin/Tazobactam and Antibiotic-Associated Acute Kidney Injury in Critically Ill Children. J Am Soc Nephrol 2019; 30:2243-2251. [PMID: 31501354 DOI: 10.1681/asn.2018121223] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 08/07/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND There continues to be uncertainty about whether piperacillin/tazobactam (TZP) increases the risk of AKI in critically ill pediatric patients. We sought to compare rates of AKI among critically ill children treated with TZP or cefepime, an alternative frequently used in intensive care units, with and without vancomycin. METHODS We conducted a retrospective cohort study assessing the risk of AKI in pediatric intensive care unit patients after exposure to vancomycin, TZP, and cefepime, alone or in combination, within 48 hours of admission. The primary outcome was development of stage 2 or 3 AKI or an increase in AKI stage from 2 to 3 within the 6 days after the 48-hour exposure window. Secondary outcomes included lengths of stay, need for RRT, and mortality. RESULTS Of 5686 patients included, 494 (8.7%) developed stage 2 or 3 AKI. The adjusted odds of developing AKI after medication exposure were 1.56 for TZP (95% confidence interval [95% CI], 1.23 to 1.99), 1.13 for cefepime (95% CI, 0.79 to 1.64), and 0.86 for vancomycin (95% CI, 0.69 to 1.07). The adjusted odds of developing AKI for vancomycin plus TZP versus vancomycin plus cefepime was 1.38 (95% CI, 0.85 to 2.24). CONCLUSIONS Observational data in critically ill children show that TZP use is associated with increased odds of AKI. A weaker, nonsignificant association between vancomycin plus TZP and AKI compared with vancomycin plus cefepime, creates some uncertainty about the nature of the association between TZP and AKI. However, cefepime is an alternative not associated with AKI.
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Affiliation(s)
- Emily L Joyce
- Division of Nephrology, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania; .,Department of Critical Care Medicine, Center for Critical Care Nephrology.,Department of Critical Care Medicine, CRISMA Center (Clinical Research, Investigation, and Systems Modeling of Acute Illness), and
| | - Sandra L Kane-Gill
- Department of Critical Care Medicine, Center for Critical Care Nephrology.,Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania; and.,Department of Pharmacy, UPMC, Pittsburgh, Pennsylvania.,Department of Critical Care Medicine, UPMC University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Priyanka Priyanka
- Department of Critical Care Medicine, Center for Critical Care Nephrology.,Department of Critical Care Medicine, CRISMA Center (Clinical Research, Investigation, and Systems Modeling of Acute Illness), and
| | - Dana Y Fuhrman
- Division of Nephrology, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.,Department of Critical Care Medicine, Center for Critical Care Nephrology.,Department of Critical Care Medicine, CRISMA Center (Clinical Research, Investigation, and Systems Modeling of Acute Illness), and.,Department of Critical Care Medicine, UPMC University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - John A Kellum
- Department of Critical Care Medicine, Center for Critical Care Nephrology.,Department of Critical Care Medicine, CRISMA Center (Clinical Research, Investigation, and Systems Modeling of Acute Illness), and.,Department of Critical Care Medicine, UPMC University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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