Influence of patients’ clinical features at intensive care unit admission on performance of cell cycle arrest biomarkers in predicting acute kidney injury
-
Bo Yang
, Yun Xie
, Francesco Garzotto , Ghada Ankawi , Alberto Passannante , Alessandra Brendolan , Raffaele Bonato , Mariarosa Carta , Davide Giavarina , Enrico Vidal , Dario Gregoriand Claudio Ronco
Abstract
Objectives
Identification of acute kidney injury (AKI) can be challenging in patients with a variety of clinical features at intensive care unit (ICU) admission, and the capacity of biomarkers in this subpopulation has been poorly studied. In our study we examined the influence that patients’ clinical features at ICU admission have over the predicting ability of the combination of urinary tissue inhibitor of metalloproteinase-2 (TIMP2) and insulin-like growth factor binding protein 7 (IGFBP7).
Methods
Urinary [TIMP2]•[IGFBP7] were measured for all patients upon admission to ICU. We calculated the receiver operating characteristics (ROC) curves for AKI prediction in the overall cohort and for subgroups of patients according to etiology of ICU admission, which included: sepsis, trauma, neurological conditions, cardiovascular diseases, respiratory diseases, and non-classifiable causes.
Results
In the overall cohort of 719 patients, 239 (33.2%) developed AKI in the first seven days. [TIMP2]•[IGFBP7] at ICU admission were significantly higher in AKI patients than in non-AKI patients. This is true not only for the overall cohort but also in the other subgroups. The area under the ROC curve (AUC) for [TIMP2]•[IGFBP7] in predicting AKI in the first seven days was 0.633 (95% CI 0.588–0.678), for the overall cohort, with sensitivity and specificity of 66.1 and 51.9% respectively. When we considered patients with combined sepsis, trauma, and respiratory disease we found a higher AUC than patients without these conditions (0.711 vs. 0.575; p=0.002).
Conclusions
The accuracy of [TIMP2]•[IGFBP7] in predicting the risk of AKI in the first seven days after ICU admission has significant variability when the reason for ICU admission is considered.
Acknowledgments
The authors are grateful to Gregorio Aramid Romero González, Alejandra Molano Trivino, Ana De Castro, and all the fellows of the International Renal Research Institute of Vicenza who helped in the study.
Research funding: None declared.
Author contributions: CR, BY, YX, FG and RB contributed to study design. BY, YX, GA and AP contributed to data collection. AB and FF contributed to patient enrollment. DG and MC contributed to laboratory work. FG, EV and GD contributed to statistical analysis. BY, GA, AP and CR contributed to manuscript writing and editing. All authors read and approved the final manuscript. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
Competing interests: CR is a consultant for Astute Medical, Ortho, and Biomerieux. All the other authors declared no competing interests.
Informed consent: Informed consent was obtained from all individuals included in this study.
Ethical approval: The study was approved by the Institutional Ethics Committee of San Bortolo Hospital, Vicenza, Italy (Comitato Etico provinciale aULSS 8 Vicenza) (Exp. number: 03/17). The clinical investigation was conducted according to the principles expressed in the Declaration of Helsinki.
References
1. Susantitaphong, P, Cruz, DN, Cerda, J, Abulfaraj, M, Alqahtani, F, Koulouridis, I, et al. World incidence of AKI: a meta-analysis. Clin J Am Soc Nephrol 2013;8:1482–93. https://doi.org/10.2215/cjn.00710113.Search in Google Scholar
2. Ronco, C, Ricci, Z. The concept of risk and the value of novel markers of acute kidney injury. Crit Care 2013;17:117. https://doi.org/10.1186/cc12488.Search in Google Scholar PubMed PubMed Central
3. Balasubramanian, G, Al-Aly, Z, Moiz, A, Rauchman, M, Zhang, Z, Gopalakrishnan, R, et al. Early nephrologist involvement in hospital-acquired acute kidney injury: a pilot study. Am J Kidney Dis 2011;57:228–34. https://doi.org/10.1053/j.ajkd.2010.08.026.Search in Google Scholar PubMed
4. Colpaert, K, Hoste, EA, Steurbaut, K, Benoit, D, Van Hoecke, S, De Turck, F, et al. Impact of real-time electronic alerting of acute kidney injury on therapeutic intervention and progression of RIFLE class. Crit Care Med 2012;40:1164–70. https://doi.org/10.1097/ccm.0b013e3182387a6b.Search in Google Scholar
5. Kidney Disease Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl 2012;2:1–138. https://doi.org/10.1038/kisup.2012.2.Search in Google Scholar PubMed PubMed Central
6. Bellomo, R, Ronco, C, Kellum, JA, Mehta, RL, Palevsky, P. Acute Dialysis Quality Initiative Workgroup. Acute renal failure – definition, outcome measures, animal models, fluid therapy and information technology needs: the second international consensus conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care 2004;8:R204–12. https://doi.org/10.1186/cc2872.Search in Google Scholar PubMed PubMed Central
7. Waikar, SS, Bonventre, JV. Creatinine kinetics and the definition of acute kidney injury. J Am Soc Nephrol 2009;20:672–9. https://doi.org/10.1681/asn.2008070669.Search in Google Scholar PubMed PubMed Central
8. Endre, ZH, Kellum, JA, Di Somma, S, Doi, K, Goldstein, SL, Koyner, JL, et al. Differential diagnosis of AKI in clinical practice by functional and damage biomarkers: workgroup statements from the tenth acute dialysis quality initiative consensus conference. Contrib Nephrol 2013;182:30–44. https://doi.org/10.1159/000349964.Search in Google Scholar PubMed
9. US Food and Drug Administration. Letter to Astute Medical September 5, 2014. Available from: http://www.accessdata.fda.gov/cdrh_docs/pdf13/den130031.pdf [Accessed 19 July 2016].Search in Google Scholar
10. Kashani, K, Al-Khafaji, A, Ardiles, T, Artigas, A, Bagshaw, SM, Bell, M, et al. Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury. Crit Care 2013;17:R25. https://doi.org/10.1186/cc12503.Search in Google Scholar PubMed PubMed Central
11. Hoste, EA, McCullough, PA, Kashani, K, Chawla, LS, Joannidis, M, Shaw, AD, et al. Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers. Nephrol Dial Transplant 2014;29:2054–61. https://doi.org/10.1093/ndt/gfu292.Search in Google Scholar PubMed PubMed Central
12. Bihorac, A, Chawla, LS, Shaw, AD, Al-Khafaji, A, Davison, DL, Demuth, GE, et al. Validation of cell-cycle arrest biomarkers for acute kidney injury using clinical adjudication. Am J Respir Crit Care Med 2014;189:932–9. https://doi.org/10.1164/rccm.201401-0077oc.Search in Google Scholar PubMed
13. Di Leo, L, Nalesso, F, Garzotto, F, Xie, Y, Yang, B, Virzì, GM, et al. Predicting acute kidney injury in intensive care unit patients: the role of tissue inhibitor of metalloproteinases-2 and insulin-like growth factor-binding protein-7 biomarkers. Blood Purif 2018;45:270–7. https://doi.org/10.1159/000485591.Search in Google Scholar PubMed
14. Zhang, D, Yuan, Y, Guo, L, Wang, Q. Comparison of urinary TIMP-2 and IGFBP7 cut-offs to predict acute kidney injury in critically ill patients: a PRISMA-compliant systematic review and meta-analysis. Medicine 2019;98:e16232. https://doi.org/10.1097/md.0000000000016232.Search in Google Scholar PubMed PubMed Central
15. National Institute for Health and Care Excellence. NICE guidance. Available from: https://www.nice.org.uk/guidance/dg39/chapter/3-Evidence [Accessed 17 June 2020].Search in Google Scholar
16. Lameire, NH, Vanholder, RC, Van Biesen, WA. How to use biomarkers efficiently in acute kidney injury. Kidney Int 2011;79:1047–50. https://doi.org/10.1038/ki.2011.21.Search in Google Scholar PubMed
17. Bagshaw, SM, Uchino, S, Bellomo, R, Morimatsu, H, Morgera, S, Schetz, M, et al. Septic acute kidney injury in critically ill patients: clinical characteristics and outcomes. Clin J Am Soc Nephrol 2007;2:431–9. https://doi.org/10.2215/cjn.03681106.Search in Google Scholar PubMed
18. Kellum, JA, Chawla, LS, Keener, C, Singbartl, K, Palevsky, PM, Pike, FL, et al. The effects of alternative resuscitation strategies on acute kidney injury in patients with septic shock. Am J Resp Crit Care Med 2015;193:281–7. https://doi.org/10.1164/rccm.201505-0995oc.Search in Google Scholar
19. Honore, PM, Nguyen, HB, Gong, M, Chawla, LS, Bagshaw, SM, Artigas, A, et al. Urinary tissue inhibitor of metalloproteinase-2 and insulin-like growth factor-binding protein 7 for risk stratification of acute kidney injury in patients with sepsis. Crit Care Med 2016;44:1851–60. https://doi.org/10.1097/ccm.0000000000001827.Search in Google Scholar
20. Martensson, J, Bell, M, Oldner, A, Xu, S, Venge, P, Martling, CR. Neutrophil gelatinase-associated lipocalin in adult septic patients with and without acute kidney injury. Intensive Care Med 2010;36:1333–40. https://doi.org/10.1007/s00134-010-1887-4.Search in Google Scholar PubMed
21. Parikh, CR, Abraham, E, Ancukiewicz, M, Edelstein, CL. Urine IL-18 is an early diagnostic marker for acute kidney injury and predicts mortality in the intensive care unit. J Am Soc Nephrol 2005;16:3046–52. https://doi.org/10.1681/asn.2005030236.Search in Google Scholar PubMed
22. Brandt, MM, Falvo, AJ, Rubinfeld, IS, Blyden, D, Durrani, NK, Horst, HM. Renal dysfunction in trauma: even a little costs a lot. J Trauma Inj Infect Crit Care 2007;62:1362–4. https://doi.org/10.1097/ta.0b013e318047983d.Search in Google Scholar
23. Bagshaw, SM, George, C, Gibney, RT, Bellomo, R. A multi-center evaluation of early acute kidney injury in critically ill trauma patients. Ren Fail 2008;30:581–9. https://doi.org/10.1080/08860220802134649.Search in Google Scholar PubMed
24. Harrois, A, Libert, N, Duranteau, J. Acute kidney injury in trauma patients. Curr Opin Crit Care 2017;23:447–56. https://doi.org/10.1097/mcc.0000000000000463.Search in Google Scholar PubMed
25. Eriksson, M, Brattström, O, Mårtensson, J, Larsson, E, Oldner, A. Acute kidney injury following severe trauma: risk factors and long-term outcome. J Trauma Acute Care Surg 2015;79:407–12. https://doi.org/10.1097/ta.0000000000000727.Search in Google Scholar
26. Podoll, AS, Kozar, R, Holcomb, JB, Finkel, KW. Incidence and outcome of early acute kidney injury in critically-ill trauma patients. PLoS One 2013;8:e77376. https://doi.org/10.1371/journal.pone.0077376.Search in Google Scholar PubMed PubMed Central
27. Makris, K, Markou, N, Evodia, E, Dimopoulou, E, Drakopoulos, I, Ntetsika, K, et al. Urinary neutrophil gelatinase-associated lipocalin (NGAL) as an early marker of acute kidney injury in critically ill multiple trauma patients. Clin Chem Lab Med 2009;47:79–82. https://doi.org/10.1515/cclm.2009.004.Search in Google Scholar PubMed
28. Robert, R, Reignier, J, Tournoux-Facon, C, Boulain, T, Lesieur, O, Gissot, V, et al. Refusal of intensive care unit admission due to a full unit: impact on mortality. Am J Respir Crit Care Med 2012;185:1081–7. https://doi.org/10.1164/rccm.201104-0729oc.Search in Google Scholar PubMed
29. Heung, M, Ortega, LM, Chawla, LS, Wunderink, RG, Self, WH, Koyner, JL, et al. Common chronic conditions do not affect performance of cell cycle arrest biomarkers for risk stratification of acute kidney injury. Nephrol Dial Transplant 2016;31:1633–40. https://doi.org/10.1093/ndt/gfw241.Search in Google Scholar PubMed PubMed Central
30. Breidthardt, T, Christ-Crain, M, Stolz, D, Bingisser, R, Drexler, B, Klima, T, et al. A combined cardiorenal assessment for the prediction of acute kidney injury in lower respiratory tract infections. Am J Med 2012;125:168–75. https://doi.org/10.1016/j.amjmed.2011.07.010.Search in Google Scholar PubMed
31. Ostermann, M, McCullough, PA, Forni, LG, Bagshaw, SM, Joannidis, M, Shi, J, et al. Kinetics of urinary cell cycle arrest markers for acute kidney injury following exposure to potential renal insults. Crit Care Med 2018;46:375–83. https://doi.org/10.1097/ccm.0000000000002847.Search in Google Scholar
© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Assuring the quality of examinations using faecal immunochemical tests for haemoglobin (FIT)
- Review
- Capillary electrophoresis based on nucleic acid analysis for diagnosing inherited diseases
- Mini Reviews
- Negative hair test result after long-term drug use. About a case involving morphine and literature review
- Prorenin and active renin levels in paediatrics: a bioanalytical review
- Opinion Paper
- From therapeutic drug monitoring to total drug monitoring and drug-omics
- Perspectives
- The internal quality control in the traceability era
- Genetics and Molecular Diagnostics
- External quality assessment (EQA) and alternative assessment procedures (AAPs) in molecular diagnostics: findings of an international survey
- General Clinical Chemistry and Laboratory Medicine
- An evaluation of ten external quality assurance scheme (EQAS) materials for the faecal immunochemical test (FIT) for haemoglobin
- Optimizing hepcidin measurement with a proficiency test framework and standardization improvement
- Development of a certified reference material for anti-β2-glycoprotein I IgG – commutability studies
- Influence of patients’ clinical features at intensive care unit admission on performance of cell cycle arrest biomarkers in predicting acute kidney injury
- Efficacy of weekly administration of cholecalciferol on parathyroid hormone in stable kidney-transplanted patients with CKD stage 1–3
- Plasma metanephrines and prospective prediction of tumor location, size and mutation type in patients with pheochromocytoma and paraganglioma
- Emicizumab, the factor VIII mimetic bi-specific monoclonal antibody and its measurement in plasma
- Reference Values and Biological Variations
- Age appropriate reference intervals for eight kidney function and injury markers in infants, children and adolescents
- Cardiovascular Diseases
- Comparison of acetylsalicylic acid and clopidogrel non-responsiveness assessed by light transmittance aggregometry and PFA-100® in patients undergoing neuroendovascular procedures
- Trimethylamine-N-oxide (TMAO) predicts short- and long-term mortality and poor neurological outcome in out-of-hospital cardiac arrest patients
- Non-lactate strong ion difference and cardiovascular, cancer and all-cause mortality
- Infectious Diseases
- Performance of three automated SARS-CoV-2 antibody assays and relevance of orthogonal testing algorithms
- Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
- Searching for a role of procalcitonin determination in COVID-19: a study on a selected cohort of hospitalized patients
- Association of kidney function with effectiveness of procalcitonin-guided antibiotic treatment: a patient-level meta-analysis from randomized controlled trials
- Erratum
- Corrigendum to: The role of hyperhomocysteinemia as well as folate, vitamin B6 and B12 deficiencies in osteoporosis – a systematic review
- Letter to the Editors
- Harmonization of antineutrophil cytoplasmic antibodies (ANCA) testing by reporting test result-specific likelihood ratios: position paper
- Independent internal quality control (IQC) for faecal immunochemical tests (FIT) for haemoglobin: use of FIT manufacturers’ IQC for other FIT systems
- Parallel testing of 241 clinical nasopharyngeal swabs for the detection of SARS-CoV-2 virus on the Cepheid Xpert Xpress SARS-CoV-2 and the Roche cobas SARS-CoV-2 assays
- Sustained SARS-CoV-2 nucleocapsid antibody levels in nonsevere COVID-19: a population-based study
- Evidence for increased circulating procoagulant phospholipids in patients with COVID-19 pneumonia and their prognostic role
- Complete blood counts and cell population data from Sysmex XN analyser in the detection of SARS-CoV-2 infection
- Macro creatine kinase in an asymptomatic patient: a case report
- Implementation of pre-labelled barcode tubes and the GeT-System in a general hospital for the exact documentation of the time of venous blood sample and improvement of sample quality
- Determination of free light chains: assay-dependent differences in interpretation
- Association between SOX17, Wif-1 and RASSF1A promoter methylation status and response to chemotherapy in patients with metastatic gastric cancer
- Effect of two organizational interventions on the frequency of haemoglobin A1c and erythrocyte sedimentation rate testing
- Haemoglobin A1c determination from dried blood spots prepared with HemaSpot™ blood collection devices: comparison with fresh capillary blood
- Stability of catecholamines in whole blood: influence of time between collection and centrifugation
Articles in the same Issue
- Frontmatter
- Editorial
- Assuring the quality of examinations using faecal immunochemical tests for haemoglobin (FIT)
- Review
- Capillary electrophoresis based on nucleic acid analysis for diagnosing inherited diseases
- Mini Reviews
- Negative hair test result after long-term drug use. About a case involving morphine and literature review
- Prorenin and active renin levels in paediatrics: a bioanalytical review
- Opinion Paper
- From therapeutic drug monitoring to total drug monitoring and drug-omics
- Perspectives
- The internal quality control in the traceability era
- Genetics and Molecular Diagnostics
- External quality assessment (EQA) and alternative assessment procedures (AAPs) in molecular diagnostics: findings of an international survey
- General Clinical Chemistry and Laboratory Medicine
- An evaluation of ten external quality assurance scheme (EQAS) materials for the faecal immunochemical test (FIT) for haemoglobin
- Optimizing hepcidin measurement with a proficiency test framework and standardization improvement
- Development of a certified reference material for anti-β2-glycoprotein I IgG – commutability studies
- Influence of patients’ clinical features at intensive care unit admission on performance of cell cycle arrest biomarkers in predicting acute kidney injury
- Efficacy of weekly administration of cholecalciferol on parathyroid hormone in stable kidney-transplanted patients with CKD stage 1–3
- Plasma metanephrines and prospective prediction of tumor location, size and mutation type in patients with pheochromocytoma and paraganglioma
- Emicizumab, the factor VIII mimetic bi-specific monoclonal antibody and its measurement in plasma
- Reference Values and Biological Variations
- Age appropriate reference intervals for eight kidney function and injury markers in infants, children and adolescents
- Cardiovascular Diseases
- Comparison of acetylsalicylic acid and clopidogrel non-responsiveness assessed by light transmittance aggregometry and PFA-100® in patients undergoing neuroendovascular procedures
- Trimethylamine-N-oxide (TMAO) predicts short- and long-term mortality and poor neurological outcome in out-of-hospital cardiac arrest patients
- Non-lactate strong ion difference and cardiovascular, cancer and all-cause mortality
- Infectious Diseases
- Performance of three automated SARS-CoV-2 antibody assays and relevance of orthogonal testing algorithms
- Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests
- Searching for a role of procalcitonin determination in COVID-19: a study on a selected cohort of hospitalized patients
- Association of kidney function with effectiveness of procalcitonin-guided antibiotic treatment: a patient-level meta-analysis from randomized controlled trials
- Erratum
- Corrigendum to: The role of hyperhomocysteinemia as well as folate, vitamin B6 and B12 deficiencies in osteoporosis – a systematic review
- Letter to the Editors
- Harmonization of antineutrophil cytoplasmic antibodies (ANCA) testing by reporting test result-specific likelihood ratios: position paper
- Independent internal quality control (IQC) for faecal immunochemical tests (FIT) for haemoglobin: use of FIT manufacturers’ IQC for other FIT systems
- Parallel testing of 241 clinical nasopharyngeal swabs for the detection of SARS-CoV-2 virus on the Cepheid Xpert Xpress SARS-CoV-2 and the Roche cobas SARS-CoV-2 assays
- Sustained SARS-CoV-2 nucleocapsid antibody levels in nonsevere COVID-19: a population-based study
- Evidence for increased circulating procoagulant phospholipids in patients with COVID-19 pneumonia and their prognostic role
- Complete blood counts and cell population data from Sysmex XN analyser in the detection of SARS-CoV-2 infection
- Macro creatine kinase in an asymptomatic patient: a case report
- Implementation of pre-labelled barcode tubes and the GeT-System in a general hospital for the exact documentation of the time of venous blood sample and improvement of sample quality
- Determination of free light chains: assay-dependent differences in interpretation
- Association between SOX17, Wif-1 and RASSF1A promoter methylation status and response to chemotherapy in patients with metastatic gastric cancer
- Effect of two organizational interventions on the frequency of haemoglobin A1c and erythrocyte sedimentation rate testing
- Haemoglobin A1c determination from dried blood spots prepared with HemaSpot™ blood collection devices: comparison with fresh capillary blood
- Stability of catecholamines in whole blood: influence of time between collection and centrifugation