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Pan HC, Yang SY, Chiou TTY, Shiao CC, Wu CH, Huang CT, Wang TJ, Chen JY, Liao HW, Chen SY, Huang TM, Yang YF, Lin HYH, Chan MJ, Sun CY, Chen YT, Chen YC, Wu VC. Comparative accuracy of biomarkers for the prediction of hospital-acquired acute kidney injury: a systematic review and meta-analysis. Crit Care 2022; 26:349. [PMID: 36371256 PMCID: PMC9652605 DOI: 10.1186/s13054-022-04223-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 10/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background Several biomarkers have been proposed to predict the occurrence of acute kidney injury (AKI); however, their efficacy varies between different trials. The aim of this study was to compare the predictive performance of different candidate biomarkers for AKI. Methods In this systematic review, we searched PubMed, Medline, Embase, and the Cochrane Library for papers published up to August 15, 2022. We selected all studies of adults (> 18 years) that reported the predictive performance of damage biomarkers (neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), liver-type fatty acid-binding protein (L-FABP)), inflammatory biomarker (interleukin-18 (IL-18)), and stress biomarker (tissue inhibitor of metalloproteinases-2 × insulin-like growth factor-binding protein-7 (TIMP-2 × IGFBP-7)) for the occurrence of AKI. We performed pairwise meta-analyses to calculate odds ratios (ORs) and 95% confidence intervals (CIs) individually. Hierarchical summary receiver operating characteristic curves (HSROCs) were used to summarize the pooled test performance, and the Grading of Recommendations, Assessment, Development and Evaluations criteria were used to appraise the quality of evidence. Results We identified 242 published relevant studies from 1,803 screened abstracts, of which 110 studies with 38,725 patients were included in this meta-analysis. Urinary NGAL/creatinine (diagnostic odds ratio [DOR] 16.2, 95% CI 10.1–25.9), urinary NGAL (DOR 13.8, 95% CI 10.2–18.8), and serum NGAL (DOR 12.6, 95% CI 9.3–17.3) had the best diagnostic accuracy for the risk of AKI. In subgroup analyses, urinary NGAL, urinary NGAL/creatinine, and serum NGAL had better diagnostic accuracy for AKI than urinary IL-18 in non-critically ill patients. However, all of the biomarkers had similar diagnostic accuracy in critically ill patients. In the setting of medical and non-sepsis patients, urinary NGAL had better predictive performance than urinary IL-18, urinary L-FABP, and urinary TIMP-2 × IGFBP-7: 0.3. In the surgical patients, urinary NGAL/creatinine and urinary KIM-1 had the best diagnostic accuracy. The HSROC values of urinary NGAL/creatinine, urinary NGAL, and serum NGAL were 91.4%, 85.2%, and 84.7%, respectively. Conclusions Biomarkers containing NGAL had the best predictive accuracy for the occurrence of AKI, regardless of whether or not the values were adjusted by urinary creatinine, and especially in medically treated patients. However, the predictive performance of urinary NGAL was limited in surgical patients, and urinary NGAL/creatinine seemed to be the most accurate biomarkers in these patients. All of the biomarkers had similar predictive performance in critically ill patients. Trial registrationCRD42020207883, October 06, 2020. Supplementary Information The online version contains supplementary material available at 10.1186/s13054-022-04223-6.
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Albert C, Zapf A, Haase M, Röver C, Pickering JW, Albert A, Bellomo R, Breidthardt T, Camou F, Chen Z, Chocron S, Cruz D, de Geus HRH, Devarajan P, Di Somma S, Doi K, Endre ZH, Garcia-Alvarez M, Hjortrup PB, Hur M, Karaolanis G, Kavalci C, Kim H, Lentini P, Liebetrau C, Lipcsey M, Mårtensson J, Müller C, Nanas S, Nickolas TL, Pipili C, Ronco C, Rosa-Diez GJ, Ralib A, Soto K, Braun-Dullaeus RC, Heinz J, Haase-Fielitz A. Neutrophil Gelatinase-Associated Lipocalin Measured on Clinical Laboratory Platforms for the Prediction of Acute Kidney Injury and the Associated Need for Dialysis Therapy: A Systematic Review and Meta-analysis. Am J Kidney Dis 2020; 76:826-841.e1. [PMID: 32679151 PMCID: PMC8283708 DOI: 10.1053/j.ajkd.2020.05.015] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Accepted: 05/24/2020] [Indexed: 01/02/2023]
Abstract
RATIONALE & OBJECTIVE The usefulness of measures of neutrophil gelatinase-associated lipocalin (NGAL) in urine or plasma obtained on clinical laboratory platforms for predicting acute kidney injury (AKI) and AKI requiring dialysis (AKI-D) has not been fully evaluated. We sought to quantitatively summarize published data to evaluate the value of urinary and plasma NGAL for kidney risk prediction. STUDY DESIGN Literature-based meta-analysis and individual-study-data meta-analysis of diagnostic studies following PRISMA-IPD guidelines. SETTING & STUDY POPULATIONS Studies of adults investigating AKI, severe AKI, and AKI-D in the setting of cardiac surgery, intensive care, or emergency department care using either urinary or plasma NGAL measured on clinical laboratory platforms. SELECTION CRITERIA FOR STUDIES PubMed, Web of Science, Cochrane Library, Scopus, and congress abstracts ever published through February 2020 reporting diagnostic test studies of NGAL measured on clinical laboratory platforms to predict AKI. DATA EXTRACTION Individual-study-data meta-analysis was accomplished by giving authors data specifications tailored to their studies and requesting standardized patient-level data analysis. ANALYTICAL APPROACH Individual-study-data meta-analysis used a bivariate time-to-event model for interval-censored data from which discriminative ability (AUC) was characterized. NGAL cutoff concentrations at 95% sensitivity, 95% specificity, and optimal sensitivity and specificity were also estimated. Models incorporated as confounders the clinical setting and use versus nonuse of urine output as a criterion for AKI. A literature-based meta-analysis was also performed for all published studies including those for which the authors were unable to provide individual-study data analyses. RESULTS We included 52 observational studies involving 13,040 patients. We analyzed 30 data sets for the individual-study-data meta-analysis. For AKI, severe AKI, and AKI-D, numbers of events were 837, 304, and 103 for analyses of urinary NGAL, respectively; these values were 705, 271, and 178 for analyses of plasma NGAL. Discriminative performance was similar in both meta-analyses. Individual-study-data meta-analysis AUCs for urinary NGAL were 0.75 (95% CI, 0.73-0.76) and 0.80 (95% CI, 0.79-0.81) for severe AKI and AKI-D, respectively; for plasma NGAL, the corresponding AUCs were 0.80 (95% CI, 0.79-0.81) and 0.86 (95% CI, 0.84-0.86). Cutoff concentrations at 95% specificity for urinary NGAL were>580ng/mL with 27% sensitivity for severe AKI and>589ng/mL with 24% sensitivity for AKI-D. Corresponding cutoffs for plasma NGAL were>364ng/mL with 44% sensitivity and>546ng/mL with 26% sensitivity, respectively. LIMITATIONS Practice variability in initiation of dialysis. Imperfect harmonization of data across studies. CONCLUSIONS Urinary and plasma NGAL concentrations may identify patients at high risk for AKI in clinical research and practice. The cutoff concentrations reported in this study require prospective evaluation.
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Affiliation(s)
- Christian Albert
- University Clinic for Cardiology and Angiology, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany; Diaverum Renal Services Germany, Potsdam, Germany.
| | - Antonia Zapf
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg-Eppendorf, Germany
| | - Michael Haase
- Faculty of Medicine, Otto-von-Guericke University, Magdeburg, Germany; Diaverum Renal Services Germany, Potsdam, Germany
| | - Christian Röver
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - John W Pickering
- Department of Medicine, University of Otago Christchurch; Emergency Department, Christchurch Hospital, Christchurch, New Zealand
| | - Annemarie Albert
- Diaverum Renal Services Germany, Potsdam, Germany; Department for Nephrology and Endocrinology, Klinikum Ernst von Bergmann, Potsdam, Germany
| | - Rinaldo Bellomo
- Department of Intensive Care, The Austin Hospital, Melbourne, Australia; Centre for Integrated Critical Care, The University of Melbourne, Melbourne, Australia
| | - Tobias Breidthardt
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland; Department of Nephrology, University Hospital Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, Basel, Switzerland
| | - Fabrice Camou
- Service de réanimation médicale, hôpital Saint-André, CHU de Bordeaux, France
| | - Zhongquing Chen
- Department of Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangdong, China
| | - Sidney Chocron
- Department of Thoracic and Cardio-Vascular Surgery, University Hospital Jean Minjoz, Besançon, France
| | - Dinna Cruz
- Division of Nephrology-Hypertension, University of California, San Diego, CA
| | - Hilde R H de Geus
- Department of Intensive Care, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Prasad Devarajan
- Division of Nephrology and Hypertension, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, OH
| | - Salvatore Di Somma
- Emergency Medicine, Department of Medical-Surgery Sciences and Translational Medicine, Sapienza' University of Rome S. Andrea Hospital, Rome, Italy
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan
| | - Zoltan H Endre
- Department of Nephrology, Prince of Wales Hospital and Clinical School, University of New South Wales, Sydney, Australia
| | | | - Peter B Hjortrup
- Department of Intensive Care, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mina Hur
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Georgios Karaolanis
- Vascular Unit, First Department of Surgery, "Laiko" General Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Cemil Kavalci
- Emergency Department, Baskent University Faculty of Medicine, Ankara, Turkey
| | - Hanah Kim
- Department of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Paolo Lentini
- Department of Nephrology and Dialysis, San Bassiano Hospital, Bassano del Grappa, Italy
| | | | - Miklós Lipcsey
- CIRRUS, Hedenstierna laboratory, Anaesthesiology and Intensive care, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Mårtensson
- Section of Anaesthesia and Intensive Care Medicine, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Christian Müller
- Department of Internal Medicine, University Hospital Basel, Basel, Switzerland; Department of Nephrology, University Hospital Basel, Basel, Switzerland; Department of Cardiology, University Hospital Basel, Basel, Switzerland
| | - Serafim Nanas
- First Critical Care Department, 'Evangelismos' General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Thomas L Nickolas
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY
| | - Chrysoula Pipili
- First Critical Care Department, 'Evangelismos' General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Claudio Ronco
- Department of Nephrology, Dialysis & Transplantation, University of Padova, Vicenza, Italy; International Renal Research Institute, San Bortolo Hospital, Vicenza, Italy
| | - Guillermo J Rosa-Diez
- Department of Nephrology, Dialysis and Transplantation, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina
| | - Azrina Ralib
- Department of Anaesthesiology and Intensive Care, International Islamic University Malaysia, Pahang, Malaysia
| | - Karina Soto
- Department of Nephrology, Hospital Fernando Fonseca, Lisbon, Portugal; CEAUL, Centro de Estatística e Aplicações da Universidade de Lisboa, Lisbon, Portugal
| | - Rüdiger C Braun-Dullaeus
- University Clinic for Cardiology and Angiology, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany
| | - Judith Heinz
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - Anja Haase-Fielitz
- Department of Cardiology, Immanuel Diakonie Bernau, Heart Center Brandenburg, Brandenburg Medical School Theodor Fontane, Faculty of Health Sciences, University of Potsdam, Potsdam, Germany
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Ortega-Loubon C, Fernández-Molina M, Pañeda-Delgado L, Jorge-Monjas P, Carrascal Y. Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery. Braz J Cardiovasc Surg 2019; 33:323-329. [PMID: 30184028 PMCID: PMC6122763 DOI: 10.21470/1678-9741-2017-0251] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 04/26/2018] [Indexed: 11/15/2022] Open
Abstract
Objective The aims of this study were to identify the risk factors associated with
acute kidney injury (AKI) after isolated surgical revascularization with
cardiopulmonary bypass and to develop a model to predict the appearance of
postoperative AKI. Methods A total of 435 adult patients who underwent primary isolated coronary artery
bypass graft (CABG) surgery, from 2012 to 2016, in the Clinic University
Hospital of Valladolid (Spain) were enrolled. AKI was defined according to
the risk, injury, failure, loss, and end-stage (RIFLE) criteria. Data were
collected from hospital electronic medical records. Multiple logistic
regression analysis was used to identify risk factors. Results The prevalence of AKI was 12.4%. Multivariate analysis identified age (odds
ratio [OR], 1.056; 95% confidence interval [CI],
1.016-1.098; P=0.005), hypertension (OR, 3.078; 95% CI,
1.151-8.230; P=0.018), low ejection fraction (EF) (OR,
6.785; 95% CI, 2.080-22.135; P=0.001), estimated glomerular
filtration rate (eGFR) (OR, 1.017; 95% CI, 1.005-1.028;
P=0.014), EuroSCORE II (OR, 1.049; 95% CI, 1.004-1.096;
P=0.033), and no intake of calcium-channel blockers
(CCB) (OR, 4.892; 95% CI, 1.496-16.025; P=0.022) as risk
factors for AKI. These risk factors were included in a model to predict
postoperative AKI with an area under a receiver operating characteristic
curve of 0.783±0.036 (95% CI, 0.713-0.854;
P<0.0001). Conclusion Age, hypertension, low EF, eGFR, EuroSCORE II, and no intake of CCB were
independent risk factors for postoperative AKI. These factors provide an
easy and accurate model to predict postoperative AKI in patients undergoing
cardiac surgery.
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Affiliation(s)
| | | | - Lucía Pañeda-Delgado
- Department of Cardiac Surgery, Clinic University Hospital of Valladolid, Valladolid, Spain
| | - Pablo Jorge-Monjas
- Department of Anesthesia, Clinic University Hospital of Valladolid, Valladolid, Spain
| | - Yolanda Carrascal
- Department of Cardiac Surgery, Clinic University Hospital of Valladolid, Valladolid, Spain
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Biernawska J, Bober J, Kotfis K, Bogacka A, Barnik E, Żukowski M. Cardiac surgery related cardio-renal syndrome assessed by conventional and novel biomarkers - under or overestimated diagnosis? Arch Med Sci 2017; 13:1111-1120. [PMID: 28883853 PMCID: PMC5575232 DOI: 10.5114/aoms.2017.69328] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2016] [Accepted: 12/18/2016] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION Serum creatinine is a 'gold standard' criterion of recognizing and staging of acute kidney injury (AKI) despite it being a suboptimal, delayed indicator. The interpretation of increased values of biomarkers imposes great difficulty regarding cardiac surgery procedures performed with cardiopulmonary bypass and may lead to under- or overestimated diagnosis. The aim of this study was to evaluate the clinical utility of the sole serum creatinine or urine neutrophil gelatinase-associated lipocalin (NGAL) concentration used for identification of patients with AKI after cardiac surgery. MATERIAL AND METHODS A prospective observational study was conducted on a group of 88 adult patients undergoing a coronary artery bypass grafting procedure. Serum creatinine was evaluated on the day of the operation, and 24 and 48 h post-operatively. Urinary NGAL concentration was measured: immediately after and one hour after cardiopulmonary bypass, and 24 h from the beginning of the operation. We assessed features of kidney injury and 30-day and 5-year mortality. RESULTS Patients in the AKI group diagnosed with creatinine level and urine output criteria presented more advanced age (p = 0.01), higher body mass index (p = 0.01) and preoperative myocardial infarction (p = 0.02). Elevation of NGAL level was observed in 5 of 13 cases with AKI, based on creatinine criteria and 4 of 75 cases without AKI. Within 5 years after the surgical procedure the recurrence of renal failure was 36% in the AKI group (with perioperative NGAL elevation in 2 cases only). CONCLUSIONS In the cardiac surgery patients the diagnosis of AKI based on sole serum creatinine or urine NGAL concentration confirmed transient kidney injury. However, the clinical implications of these findings are insufficient for prediction of clinical outcome.
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Affiliation(s)
- Jowita Biernawska
- Department of Anesthesia, Intensive Care and Acute Poisoning, Pomeranian Medical University, Szczecin, Poland
| | - Joanna Bober
- Department of Medical Chemistry, Pomeranian Medical University, Szczecin, Poland
| | - Katarzyna Kotfis
- Department of Anesthesia, Intensive Care and Acute Poisoning, Pomeranian Medical University, Szczecin, Poland
| | - Anna Bogacka
- Department of Human Nutrition, West Pomeranian University of Technology, Szczecin, Poland
| | - Edyta Barnik
- Department of Anesthesia, Intensive Care and Acute Poisoning, Pomeranian Medical University, Szczecin, Poland
| | - Maciej Żukowski
- Department of Anesthesia, Intensive Care and Acute Poisoning, Pomeranian Medical University, Szczecin, Poland
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