دورية أكاديمية

Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study.

التفاصيل البيبلوغرافية
العنوان: Cell cycle arrest biomarkers for predicting renal recovery from acute kidney injury: a prospective validation study.
المؤلفون: Jia HM; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Cheng L; Department of Emergent Intensive Critical Unit, Beijing Lu-He Hospital, Capital Medical University, Beijing, 101100, China., Weng YB; Department of Emergent Intensive Critical Unit, Beijing Lu-He Hospital, Capital Medical University, Beijing, 101100, China., Wang JY; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Zheng X; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Jiang YJ; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Xin X; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Guo SY; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Chen CD; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Guo FX; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Han YZ; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China., Zhang TE; Gettysburg, PA, 17325, USA., Li WX; Department of Surgical Intensive Critical Unit, Beijing Chao-yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 100020, China. liwx1126@163.com.
المصدر: Annals of intensive care [Ann Intensive Care] 2022 Feb 12; Vol. 12 (1), pp. 14. Date of Electronic Publication: 2022 Feb 12.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101562873 Publication Model: Electronic Cited Medium: Print ISSN: 2110-5820 (Print) Linking ISSN: 21105820 NLM ISO Abbreviation: Ann Intensive Care Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Heidelberg : Springer-Verlag, 2011-
مستخلص: Background: Acute kidney injury (AKI) is a common disease in the intensive care unit (ICU). AKI patients with nonrecovery of renal function have a markedly increased risk of death compared with patients with recovery. The current study aimed to explore and validate the utility of urinary cell cycle arrest biomarkers for predicting nonrecovery in patients who developed AKI after ICU admission.
Methods: We prospectively and consecutively enrolled 379 critically ill patients who developed AKI after admission to the ICU, which were divided into a derivation cohort (194 AKI patients) and a validation cohort (185 AKI patients). The biomarkers of urinary tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) were detected at inclusion immediately after AKI diagnosis (day 0) and 24 h later (day 1). The optimal cut-off values of these biomarkers for predicting nonrecovery were estimated in the derivation cohort, and their predictive accuracy was assessed in the validation cohort. The primary endpoint was nonrecovery from AKI (within 7 days).
Results: Of 379 patients, 159 (41.9%) patients failed to recover from AKI onset, with 79 in the derivation cohort and 80 in the validation cohort. Urinary [TIMP-2]*[IGFBP7] on day 0 showed a better prediction ability for nonrecovery than TIMP-2 and IGFBP7 alone, with an area under the reciever operating characteristic curve (AUC) of 0.751 [95% confidence interval (CI) 0.701-0.852, p < 0.001] and an optimal cut-off value of 1.05 ((ng/mL) 2 /1000). When [TIMP-2]*[IGFBP7] was combined with the clinical factors of AKI diagnosed by the urine output (UO) criteria, AKI stage 2-3 and nonrenal SOFA score for predicting nonrecovery, the AUC was significantly improved to 0.852 (95% CI 0.750-0.891, p < 0.001), which achieved a sensitivity and specificity of 88.8% (72.9, 98.7) and 92.6% (80.8, 100.0), respectively. However, urine [TIMP-2]*[IGFBP7], TIMP-2 alone, and IGFBP7 alone on day 1 performed poorly for predicting AKI recovery.
Conclusion: Urinary [TIMP-2]*[IGFBP7] on day 0 showed a fair performance for predicting nonrecovery from AKI. The predictive accuracy can be improved when urinary [TIMP-2]*[IGFBP7] is combined with the clinical factors of AKI diagnosed by the UO criteria, AKI stage 2-3 and nonrenal SOFA score.
(© 2022. The Author(s).)
References: Bellomo R, Kellum JA, Ronco C. Acute kidney injury. Lancet. 2012;380:756–66. (PMID: 10.1016/S0140-6736(11)61454-2)
Kaddourah A, Basu RK, Bagshaw SM, Goldstein SL, AWARE Investigators. Epidemiology of acute kidney injury in critically ill children and young adults. N Engl J Med. 2017;376:11–20. (PMID: 10.1056/NEJMoa1611391)
Coca SG, Singanamala S, Parikh CR. Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney Int. 2012;81:442–8. (PMID: 10.1038/ki.2011.379)
Kellum JA, Sileanu FE, Bihorac A, Hoste EA, Chawla LS. Recovery after acute kidney injury. Am J Respir Crit Care Med. 2017;195:784–91. (PMID: 10.1164/rccm.201604-0799OC)
Forni LG, Darmon M, Ostermann M, Oudemans-van Straaten HM, Pettilä V, Prowle JR, et al. Renal recovery after acute kidney injury. Intensive Care Med. 2017;43:855–66. (PMID: 10.1007/s00134-017-4809-x)
Bellomo R, Ronco C, Mehta RL, Asfar P, Boisramé-Helms J, Darmon M, et al. Acute kidney injury in the ICU: from injury to recovery: reports from the 5th Paris international conference. Ann Intensive Care. 2017;7:49. (PMID: 10.1186/s13613-017-0260-y)
Cho WY, Lim SY, Yang JH, Oh SW, Kim MG, Jo SK. Urinary tissue inhibitor of metalloproteinase-2 and insulin-like growth factor-binding protein 7 as biomarkers of patients with established acute kidney injury. Korean J Intern Med. 2020;35:662–71. (PMID: 10.3904/kjim.2018.266)
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. (PMID: 10.1186/cc12503)
Pickkers P, Ostermann M, Joannidis M, Zarbock A, Hoste E, Bellomo R, et al. The intensive care medicine agenda on acute kidney injury. Intensive Care Med. 2017;43:1198–209. (PMID: 10.1007/s00134-017-4687-2)
Ronco C. Acute kidney injury: from clinical to molecular diagnosis. Crit Care. 2016;20:201. (PMID: 10.1186/s13054-016-1373-7)
Meersch M, Schmidt C, Hoffmeier A, Van Aken H, Wempe C, Gerss J, et al. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: the PrevAKI randomized controlled trial. Intensive Care Med. 2017;43:1551–61. (PMID: 10.1007/s00134-016-4670-3)
Cohen JF, Korevaar DA, Altman DG, Bruns DE, Gatsonis CA, Hooft L, et al. STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration. BMJ Open. 2016;6:e012799. (PMID: 10.1136/bmjopen-2016-012799)
Ostermann M, Joannidis M. Acute kidney injury 2016: diagnosis and diagnostic workup. Crit Care. 2016;20:299. (PMID: 10.1186/s13054-016-1478-z)
Chawla LS, Bellomo R, Bihorac A, Goldstein SL, Siew ED, Bagshaw SM, et al. Acute kidney disease and renal recovery: consensus report of the acute disease quality initiative (ADQI) 16 workgroup. Nat Rev Nephrol. 2017. https://doi.org/10.1038/nrneph.2017.2 . (PMID: 10.1038/nrneph.2017.228239173)
Helou R. Should we continue to use the Cockcroft-Gault formula? Nephron Clin Pract. 2010;116:c172–85. (PMID: 10.1159/000317197)
Pilarczyk K, Edayadiyil-Dudasova M, Wendt D, Demircioglu E, Benedik J, Dohle DS, et al. Urinary [TIMP-2]*[IGFBP7] for early prediction of acute kidney injury after coronary artery bypass surgery. Ann Intensive Care. 2015;5:50. (PMID: 10.1186/s13613-015-0076-6)
O’Sullivan ED, Doyle A. The clinical utility of kinetic glomerular filtration rate. Clin Kidney J. 2017;10:202–8. (PMID: 28396736)
Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA. 2016;315:801–10. (PMID: 10.1001/jama.2016.0287)
Wang Z, Holthoff JH, Seely KA, Pathak E, Spencer HJ, Gokden N, et al. Development of oxidative stress in the peritubular capillary microenvironment mediates sepsis-induced renal microcirculatory failure and acute kidney injury. Am J Pathol. 2012;180:505–16. (PMID: 10.1016/j.ajpath.2011.10.011)
Husi H, Human C. Molecular determinants of acute kidney injury. J Inj Violence Res. 2015;7:75–86. (PMID: 261043204522318)
Yang QH, Liu DW, Long Y, Liu HZ, Chai WZ, Wang XT. Acute renal failure during sepsis: potential role of cell cycle regulation. J Infect. 2009;58:459–64. (PMID: 10.1016/j.jinf.2009.04.003)
Gocze I, Koch M, Renner P, Zeman F, Graf BM, Dahlke MH, et al. Urinary biomarkers TIMP-2 and IGFBP7 early predict acute kidney injury after major surgery. PLoS ONE. 2015;10:e0120863. (PMID: 10.1371/journal.pone.0120863)
Dewitte A, Joannès-Boyau O, Sidobre C, Fleureau C, Bats ML, Derache P, et al. Kinetic eGFR and novel AKI biomarkers to predict renal recovery. Clin J Am Soc Nephrol. 2015;10:1900–10. (PMID: 10.2215/CJN.12651214)
Küllmar M, Meersch M. Intraoperative oliguria: physiological or beginning acute kidney injury? Anesth Analg. 2018;127:1109–10. (PMID: 10.1213/ANE.0000000000003786)
Klein SJ, Lehner GF, Forni LG, Joannidis M. Oliguria in critically ill patients: a narrative review. J Nephrol. 2018;31:855–62. (PMID: 10.1007/s40620-018-0539-6)
Fani F, Regolisti G, Delsante M, Cantaluppi V, Castellano G, Gesualdo L, et al. Recent advances in the pathogenetic mechanisms of sepsis-associated acute kidney injury. J Nephrol. 2018;31:351–9. (PMID: 10.1007/s40620-017-0452-4)
Federspiel CK, Itenov TS, Mehta K, Hsu RK, Bestle MH, Liu KD. Duration of acute kidney injury in critically ill patients. Ann Intensive Care. 2018;8:30. (PMID: 10.1186/s13613-018-0374-x)
Joannidis M, Forni LG, Haase M, Koyner J, Shi J, Kashani K, et al. Use of cell cycle arrest biomarkers in conjunction with classical markers of acute kidney injury. Crit Care Med. 2019. https://doi.org/10.1097/CCM.0000000000003907 . (PMID: 10.1097/CCM.000000000000390731343478)
معلومات مُعتمدة: Z191100006619032 Beijing Municipal Science & Technology Commission; Z181100001718204 Beijing Municipal Science & Technology Commission
فهرسة مساهمة: Keywords: Acute kidney injury; IGFBP7; Prognosis; Renal recovery; TIMP-2
تواريخ الأحداث: Date Created: 20220212 Latest Revision: 20220830
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC8840946
DOI: 10.1186/s13613-022-00989-8
PMID: 35150348
قاعدة البيانات: MEDLINE
الوصف
تدمد:2110-5820
DOI:10.1186/s13613-022-00989-8