Skip to content
2000
image of The Systemic Immune Inflammation Index as a Novel Predictive Biomarker for Contrast-Induced Acute Kidney Injury Risk Following Percutaneous Coronary Intervention: A Meta-Analysis of Cohort Studies

Abstract

Background

Contrast-induced Acute Kidney Injury (CI-AKI) frequently occurs as a complication following PCI, making the identification of high-risk patients challenging. While the systemic immune inflammation index (SII) might aid in predicting CI-AKI, the current evidence remains insufficient.

Methods

We conducted a systematic literature search using PubMed, Web of Science, Embase, and the Cochrane Library, with a cut-off date of 3/20/2024. We included observational studies that examined the predictive value of SII for the risk of CI-AKI.

Results

This meta-analysis encompassed 8 studies with a combined total of 6301 participants. Results showed pooled sensitivity and specificity of 0.73 (95% CI 0.69-0.76) and 0.68 (95% CI 0.57-0.77), respectively. The sROC curve analysis indicated an AUC of 0.74 (95% CI 0.70-0.78). The risk of publication bias was low (p = 0.18).

Conclusion

The results of this study suggest that SII has a relatively high sensitivity and could function as a biomarker for the prediction of CI-AKI risk in people receiving PCI treatment.

Loading

Article metrics loading...

/content/journals/cvp/10.2174/0115701611328810241028112700
2024-11-05
2025-01-18
Loading full text...

Full text loading...

References

  1. Subramanian S. Tumlin J. Bapat B. Zyczynski T. Economic burden of contrast-induced nephropathy: Implications for prevention strategies. J. Med. Econ. 2007 10 2 119 134 10.3111/200710119134 19702434
    [Google Scholar]
  2. Mehran R. Nikolsky E. Contrast-induced nephropathy: Definition, epidemiology, and patients at risk. Kidney Int. 2006 69 100 S11 S15 10.1038/sj.ki.5000368 16612394
    [Google Scholar]
  3. Pucelikova T. Dangas G. Mehran R. Contrast‐induced nephropathy. Catheter. Cardiovasc. Interv. 2008 71 1 62 72 10.1002/ccd.21207 17975790
    [Google Scholar]
  4. James M.T. Ghali W.A. Tonelli M. Faris P. Knudtson M.L. Pannu N. Klarenbach S.W. Manns B.J. Hemmelgarn B.R. Acute kidney injury following coronary angiography is associated with a long-term decline in kidney function. Kidney Int. 2010 78 8 803 809 10.1038/ki.2010.258 20686453
    [Google Scholar]
  5. Ebert N. Schneider A. Huscher D. Mielke N. Balabanova Y. Brobert G. Lakenbrink C. Kuhlmann M. Fietz A.K. van der Giet M. Wenning V. Schaeffner E. Incidence of hospital-acquired acute kidney injury and trajectories of glomerular filtration rate in older adults. BMC Nephrol. 2023 24 1 226 10.1186/s12882‑023‑03272‑5 37528401
    [Google Scholar]
  6. Sun G. Chen P. Wang K. Li H. Chen S. Liu J. He Y. Song F. Liu Y. Chen J. Contrast-induced nephropathy and long-term mortality after percutaneous coronary intervention in patients with acute myocardial infarction. Angiology 2019 70 7 621 626 10.1177/0003319718803677 30317864
    [Google Scholar]
  7. Hayıroğlu M.İ. Bozbeyoglu E. Yıldırımtürk Ö. Tekkeşin A.İ. Pehlivanoğlu S. Effect of acute kidney injury on long-term mortality in patients with ST-segment elevation myocardial infarction complicated by cardiogenic shock who underwent primary percutaneous coronary intervention in a high-volume tertiary center. Turk Kardiyol. Dern. Ars. 2020 48 1 1 9 31974325
    [Google Scholar]
  8. Goldenberg I. Matetzky S. Nephropathy induced by contrast media: Pathogenesis, risk factors and preventive strategies. CMAJ 2005 172 11 1461 1471 10.1503/cmaj.1040847 15911862
    [Google Scholar]
  9. Rudnick MR Kesselheim A Goldfarb S Contrast-induced nephropathy: How it develops, how to prevent it. Cleve Clin J Med. 2006 73 1 75 80 10.3949/ccjm.73.1.75
    [Google Scholar]
  10. Heyman S.N. Rosen S. Khamaisi M. Idée J.M. Rosenberger C. Reactive oxygen species and the pathogenesis of radiocontrast-induced nephropathy. Invest. Radiol. 2010 45 4 188 195 10.1097/RLI.0b013e3181d2eed8 20195159
    [Google Scholar]
  11. Vachharajani T.J. Hossain M.A. Costanzo E. Cosentino J. Patel C. Qaisar H. Singh V. Khan T. Cheng J.S. Asif A. Contrast-Induced nephropathy: Pathophysiology, risk factors, and prevention. Saudi J. Kidney Dis. Transpl. 2018 29 1 1 9 10.4103/1319‑2442.225199 29456202
    [Google Scholar]
  12. McCullough P.A. Choi J.P. Feghali G.A. Schussler J.M. Stoler R.M. Vallabahn R.C. Mehta A. Contrast-induced acute kidney injury. J. Am. Coll. Cardiol. 2016 68 13 1465 1473 10.1016/j.jacc.2016.05.099 27659469
    [Google Scholar]
  13. Liu Y. Tan N. Zhou Y.L. Chen Y.Y. Chen J.Y. Chen J. Luo J.F. High-sensitivity C-reactive protein predicts contrast-induced nephropathy after primary percutaneous coronary intervention. J. Nephrol. 2012 25 3 332 340 10.5301/jn.5000007 21928234
    [Google Scholar]
  14. Gao F. Zhou Y.J. Zhu X. Wang Z.J. Yang S.W. Shen H. C-reactive protein and the risk of contrast-induced acute kidney injury in patients undergoing percutaneous coronary intervention. Am. J. Nephrol. 2011 34 3 203 210 10.1159/000329534 21791916
    [Google Scholar]
  15. Kaya A. Kaya Y. Topçu S. Günaydın Z.Y. Kurt M. Tanboğa I.H. Kalkan K. Aksakal E. Neutrophil-to-lymphocyte ratio predicts contrast-induced nephropathy in patients undergoing primary percutaneous coronary intervention. Angiology 2014 65 1 51 56 10.1177/0003319713484789 23620308
    [Google Scholar]
  16. Demircelik M.B. Kurtul A. Ocek H. Cakmak M. Ureyen C. Eryonucu B. Association between platelet-to-lymphocyte ratio and contrast-induced nephropathy in patients undergoing percutaneous coronary intervention for acute coronary syndrome. Cardiorenal Med. 2015 5 2 96 104 10.1159/000371496 25999958
    [Google Scholar]
  17. Hu B. Yang X.R. Xu Y. Sun Y.F. Sun C. Guo W. Zhang X. Wang W.M. Qiu S.J. Zhou J. Fan J. Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma. Clin. Cancer Res. 2014 20 23 6212 6222 10.1158/1078‑0432.CCR‑14‑0442 25271081
    [Google Scholar]
  18. Yang R. Chang Q. Meng X. Gao N. Wang W. Prognostic value of Systemic immune-inflammation index in cancer: A meta-analysis. J. Cancer 2018 9 18 3295 3302 10.7150/jca.25691 30271489
    [Google Scholar]
  19. Zhong J.H. Huang D.H. Chen Z.Y. Prognostic role of systemic immune-inflammation index in solid tumors: A systematic review and meta-analysis. Oncotarget 2017 8 43 75381 75388 10.18632/oncotarget.18856 29088873
    [Google Scholar]
  20. Zhang C. Li M. Liu L. Deng L. Yulei X. Zhong Y. Liao B. Yu L. Feng J. Systemic immune-inflammation index as a novel predictor of major adverse cardiovascular events in patients undergoing percutaneous coronary intervention: A meta-analysis of cohort studies. BMC Cardiovasc. Disord. 2024 24 1 189 10.1186/s12872‑024‑03849‑4 38561664
    [Google Scholar]
  21. Hayıroğlu M.İ. Çınar T. Çinier G. Pay L. Yumurtaş A.Ç. Tezen O. Eren S. Kolak Z. Çetin T. Çiçek V. Tekkeşin A.İ. Evaluating systemic immune‐inflammation index in patients with implantable cardioverter defibrillator for heart failure with reduced ejection fraction. Pacing Clin. Electrophysiol. 2022 45 2 188 195 10.1111/pace.14436 34978742
    [Google Scholar]
  22. Bağcı A. Aksoy F. Baş H.A. Systemic immune-inflammation index may predict the development of contrast-induced nephropathy in patients with ST-segment elevation myocardial infarction. Angiology 2022 73 3 218 224 10.1177/00033197211030053 34247536
    [Google Scholar]
  23. Yang Y.L. Wu C.H. Hsu P.F. Chen S.C. Huang S.S. Chan W.L. Lin S.J. Chou C.Y. Chen J.W. Pan J.P. Charng M.J. Chen Y.H. Wu T.C. Lu T.M. Huang P.H. Cheng H.M. Huang C.C. Sung S.H. Lin Y.J. Leu H.B. Systemic immune‐inflammation index (SII) predicted clinical outcome in patients with coronary artery disease. Eur. J. Clin. Invest. 2020 50 5 e13230 10.1111/eci.13230 32291748
    [Google Scholar]
  24. Moher D. Liberati A. Tetzlaff J. Altman D.G. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ 2009 339 jul21 1 b2535 10.1136/bmj.b2535 19622551
    [Google Scholar]
  25. Whiting P.F. Rutjes A.W. Westwood M.E. Mallett S. Deeks J.J. Reitsma J.B. Leeflang M.M. Sterne J.A. Bossuyt P.M. QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Ann. Intern. Med. 2011 155 8 529 536 10.7326/0003‑4819‑155‑8‑201110180‑00009 22007046
    [Google Scholar]
  26. Higgins J.P.T. Thompson S.G. Quantifying heterogeneity in a meta‐analysis. Stat. Med. 2002 21 11 1539 1558 10.1002/sim.1186 12111919
    [Google Scholar]
  27. Cumpston M. Li T. Page M.J. Chandler J. Welch V.A. Higgins J.P.T. Thomas J. Updated guidance for trusted systematic reviews: A new edition of the Cochrane Handbook for Systematic Reviews of Interventions. Cochrane Libr. 2019 10 10 ED000142 10.1002/14651858.ED000142 31643080
    [Google Scholar]
  28. Swets J.A. Measuring the accuracy of diagnostic systems. Science 1988 240 4857 1285 1293 10.1126/science.3287615 3287615
    [Google Scholar]
  29. Ma K. Qiu H. Zhu Y. Lu Y. Li W. Preprocedural SII combined with high-sensitivity C-reactive protein predicts the risk of contrast-induced acute kidney injury in stemi patients undergoing percutaneous coronary intervention. J. Inflamm. Res. 2022 15 3677 3687 10.2147/JIR.S370085 35783247
    [Google Scholar]
  30. Zhu Y. Qiu H. Wang Z. Shen G. Li W. Predictive value of systemic immune–inflammatory index combined with CHA2DS2-VASC score for contrast-induced acute kidney injury in patients with acute coronary syndrome undergoing percutaneous coronary intervention. Int. Urol. Nephrol. 2023 55 11 2897 2903 10.1007/s11255‑023‑03571‑8 37000380
    [Google Scholar]
  31. Shen G. He H. Zhang X. Wang L. Wang Z. Li F. Lu Y. Li W. Predictive value of systemic immune-inflammation index combined with N-terminal pro-brain natriuretic peptide for contrast-induced acute kidney injury in patients with STEMI after primary PCI. Int. Urol. Nephrol. 2023 56 3 1147 1156 10.1007/s11255‑023‑03762‑3 37658947
    [Google Scholar]
  32. Ma X. Mo C. Li Y. Gui C. Systemic immune-inflammation index associated with contrast-induced nephropathy after elective percutaneous coronary intervention in a case-control study. Coron. Artery Dis. 2023 34 6 432 440 10.1097/MCA.0000000000001253 37222216
    [Google Scholar]
  33. Karauzum I. Karauzum K. Hanci K. Gokcek D. Kalas B. Ural E. The utility of systemic immune-inflammation index for predicting contrast-induced nephropathy in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention. Cardiorenal Med. 2022 12 2 71 80 10.1159/000524945 35580559
    [Google Scholar]
  34. Öztürk R. İnan D. Güngör B. Systemic immune-inflammation index is a predictor of contrast-induced nephropathy in patients with ST-segment elevation myocardial infarction. Angiology 2022 73 2 125 131 10.1177/00033197211029094 34231412
    [Google Scholar]
  35. Kelesoglu S. Yilmaz Y. Elcık D. Çetınkaya Z. Inanc M.T. Dogan A. Oguzhan A. Kalay N. Systemic immune inflammation index: A novel predictor of contrast-induced nephropathy in patients with non-ST segment elevation myocardial infarction. Angiology 2021 72 9 889 895 10.1177/00033197211007738 33827291
    [Google Scholar]
  36. Denic A. Lieske J.C. Chakkera H.A. Poggio E.D. Alexander M.P. Singh P. Kremers W.K. Lerman L.O. Rule A.D. The substantial loss of nephrons in healthy human kidneys with aging. J. Am. Soc. Nephrol. 2017 28 1 313 320 10.1681/ASN.2016020154 27401688
    [Google Scholar]
  37. Gansevoort R.T. Matsushita K. van der Velde M. Astor B.C. Woodward M. Levey A.S. de Jong P.E. Coresh J. Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts. Kidney Int. 2011 80 1 93 104 10.1038/ki.2010.531 21289597
    [Google Scholar]
  38. Wong P.C.Y. Li Z. Guo J. Zhang A. Pathophysiology of contrast-induced nephropathy. Int. J. Cardiol. 2012 158 2 186 192 10.1016/j.ijcard.2011.06.115 21784541
    [Google Scholar]
  39. Eng J. Wilson R.F. Subramaniam R.M. Zhang A. Suarez-Cuervo C. Turban S. Choi M.J. Sherrod C. Hutfless S. Iyoha E.E. Bass E.B. Comparative effect of contrast media type on the incidence of contrast-induced nephropathy. Ann. Intern. Med. 2016 164 6 417 424 10.7326/M15‑1402 26830055
    [Google Scholar]
  40. Çöteli C. Aruğaslan E. Erdöl M.A. Karanfil M. Demirtaş K. Akdi A. Ünal S. Çakmak Karaaslan Ö. Özilhan M.O. Yayla Ç. Ertem A.G. Which comes first in contrast-induced nephropathy? Inflammation or thrombus formation? Angiology 2020 71 2 195 10.1177/0003319719871794 31450950
    [Google Scholar]
  41. Akcay A. Nguyen Q. Edelstein C.L. Mediators of inflammation in acute kidney injury. Mediators Inflamm. 2009 2009 1 12 10.1155/2009/137072 20182538
    [Google Scholar]
  42. Zhang F. Lu Z. Wang F. Advances in the pathogenesis and prevention of contrast-induced nephropathy. Life Sci. 2020 259 118379 10.1016/j.lfs.2020.118379 32890604
    [Google Scholar]
  43. Kinsey G.R. Li L. Okusa M.D. Inflammation in acute kidney injury. Nephron, Exp. Nephrol. 2008 109 4 e102 e107 10.1159/000142934 18802372
    [Google Scholar]
  44. Kelly K.J. Williams W.W. Jr Colvin R.B. Meehan S.M. Springer T.A. Gutierrez-Ramos J.C. Bonventre J.V. Intercellular adhesion molecule-1-deficient mice are protected against ischemic renal injury. J. Clin. Invest. 1996 97 4 1056 1063 10.1172/JCI118498 8613529
    [Google Scholar]
  45. Malis CD Leaf A Varadarajan G Newell JB Weber PC Force T Effects of dietary omega 3 fatty acids on vascular contractility in preanoxic and postanoxic aortic rings. Circulation 1991 84 3 1393 1401 10.1161/01.CIR.84.3.1393
    [Google Scholar]
  46. Fathabad S.G. Kurzhagen J.T. Sadasivam M. Noel S. Bush E. Hamad A.R. T lymphocytes in acute kidney injury and repair. Semin Nephrol. 2020 40 2 114 125
    [Google Scholar]
  47. Shvartz V. Sokolskaya M. Ispiryan A. Basieva M. Kazanova P. Shvartz E. Talibova S. Petrosyan A. Kanametov T. Donakanyan S. Bockeria L. Golukhova E. The role of «Novel» biomarkers of systemic inflammation in the development of early hospital events after aortic valve replacement in patients with aortic stenosis. Life (Basel) 2023 13 6 1395 10.3390/life13061395 37374176
    [Google Scholar]
  48. Jiang H. Li D. Xu T. Chen Z. Shan Y. Zhao L. Fu G. Luan Y. Xia S. Zhang W. Systemic immune-inflammation index predicts contrast-induced acute kidney injury in patients undergoing coronary angiography: A cross-sectional study. Front. Med. (Lausanne) 2022 9 841601 10.3389/fmed.2022.841601 35372392
    [Google Scholar]
  49. Lu L. Feng Y. Liu Y. Tan H. Dai G. Liu S. Li B. Feng H. The systemic immune-inflammation index may be a novel and strong marker for the accurate early prediction of acute kidney injury in severe acute pancreatitis patients. J. Invest. Surg. 2022 35 5 962 966 10.1080/08941939.2021.1970864 34468253
    [Google Scholar]
  50. Xu J. Hu S. Li S. Wang W. Wu Y. Su Z. Zhou X. Gao Y. Cheng X. Zheng Q. Systemic immune-inflammation index predicts postoperative acute kidney injury in hepatocellular carcinoma patients after hepatectomy. Medicine (Baltimore) 2021 100 14 e25335 10.1097/MD.0000000000025335 33832108
    [Google Scholar]
  51. Silver S.A. Shah P.M. Chertow G.M. Harel S. Wald R. Harel Z. Risk prediction models for contrast induced nephropathy: Systematic review. BMJ 2015 351 h4395 10.1136/bmj.h4395 26316642
    [Google Scholar]
  52. Allen D.W. Ma B. Leung K.C. Graham M.M. Pannu N. Traboulsi M. Goodhart D. Knudtson M.L. James M.T. Risk prediction models for contrast-induced acute kidney injury accompanying cardiac catheterization: Systematic review and meta-analysis. Can. J. Cardiol. 2017 33 6 724 736 10.1016/j.cjca.2017.01.018 28545621
    [Google Scholar]
  53. Efe S.C. Keskin M. Toprak E. Arslan K. Öz A. Güven S. Altıntaş M.S. Yüksel Y. Deger S. Onal C. Karagöz A. Doğan C. Bayram Z. Karabağ T. Ayca B. Kaymaz C. Ozdemir N. A novel risk assessment model using urinary system contrast blush grading to predict contrast-induced acute kidney injury in low-risk profile patients. Angiology 2021 72 6 524 532 10.1177/00033197211005206 33769078
    [Google Scholar]
  54. Mehran R. Aymong E.D. Nikolsky E. Lasic Z. Iakovou I. Fahy M. Mintz G.S. Lansky A.J. Moses J.W. Stone G.W. Leon M.B. Dangas G. A simple risk score for prediction of contrast-induced nephropathy after percutaneous coronary intervention. J. Am. Coll. Cardiol. 2004 44 7 1393 1399 10.1016/j.jacc.2004.06.068 15464318
    [Google Scholar]
  55. Mehran R. Owen R. Chiarito M. Baber U. Sartori S. Cao D. Nicolas J. Pivato C.A. Nardin M. Krishnan P. Kini A. Sharma S. Pocock S. Dangas G. A contemporary simple risk score for prediction of contrast-associated acute kidney injury after percutaneous coronary intervention: Derivation and validation from an observational registry. Lancet 2021 398 10315 1974 1983 10.1016/S0140‑6736(21)02326‑6 34793743
    [Google Scholar]
  56. Yuan Y. Qiu H. Hu X. Luo T. Gao X. Zhao X. Zhang J. Wu Y. Qiao S. Yang Y. Gao R. Predictive value of inflammatory factors on contrast‐induced acute kidney injury in patients who underwent an emergency percutaneous coronary intervention. Clin. Cardiol. 2017 40 9 719 725 10.1002/clc.22722 28543803
    [Google Scholar]
  57. Wu X. Ma C. Sun D. Zhang G. Wang J. Zhang E. Inflammatory indicators and hematological indices in contrast-induced nephropathy among patients receiving coronary intervention: A systematic review and meta-analysis. Angiology 2021 72 9 867 877 10.1177/00033197211000492 33719591
    [Google Scholar]
  58. Velibey Y. Oz A. Tanik O. Guvenc T.S. Kalenderoglu K. Gumusdag A. Akdeniz E. Bozbay M. Tekkesin A.I. Guzelburc O. Hayiroglu M.I. Alper A.T. Ugur M. Eren M. Platelet-to-lymphocyte ratio predicts contrast-induced acute kidney injury in patients with st-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention. Angiology 2017 68 5 419 427 10.1177/0003319716660244 27473864
    [Google Scholar]
  59. Kurtul A. Yarlioglues M. Duran M. Murat S.N. Association of neutrophil-to-lymphocyte ratio with contrast-induced nephropathy in patients with non-ST-elevation acute coronary syndrome treated with percutaneous coronary intervention. Heart Lung Circ. 2016 25 7 683 690 10.1016/j.hlc.2016.01.007 26935164
    [Google Scholar]
  60. Erdoğan M. Erdöl M.A. Öztürk S. Durmaz T. Systemic immune-inflammation index is a novel marker to predict functionally significant coronary artery stenosis. Biomarkers Med. 2020 14 16 1553 1561 10.2217/bmm‑2020‑0274 33179524
    [Google Scholar]
  61. Lee S.W. Jang J. Seo W.Y. Lee D. Kim S.H. Internal and external validation of machine learning models for predicting acute kidney injury following non-cardiac surgery using open datasets. J. Pers. Med. 2024 14 6 587 10.3390/jpm14060587 38929808
    [Google Scholar]
  62. Jiang J. Liu X. Cheng Z. Liu Q. Xing W. Interpretable machine learning models for early prediction of acute kidney injury after cardiac surgery. BMC Nephrol. 2023 24 1 326 10.1186/s12882‑023‑03324‑w 37936067
    [Google Scholar]
  63. Hayıroğlu M.İ. Altay S. The role of artificial intelligence in coronary artery disease and atrial fibrillation. Balkan Med. J. 2023 40 3 151 152 10.4274/balkanmedj.galenos.2023.06042023 37025078
    [Google Scholar]
/content/journals/cvp/10.2174/0115701611328810241028112700
Loading
/content/journals/cvp/10.2174/0115701611328810241028112700
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test