Skip to main content

Advertisement

Log in

Prognostic value of pretreatment prognostic nutritional index in intravenous immunoglobulin-resistant Kawasaki disease

  • Original Article
  • Published:
Heart and Vessels Aims and scope Submit manuscript

Abstract

The aim of the present study was to investigate the potential predictive significance of pretreatment prognostic nutritional index (PNI) in intravenous immunoglobulin (IVIG) resistant Kawasaki disease (KD). The PNI, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were analyzed in 1257 eligible patients with KD. Receiver operating curve analysis was used to explore the prediction accuracy for IVIG-resistant KD. The optimal cut-off values were identified as 49.5 for PNI, 3.58 for NLR and 164.00 for PLR, respectively. Lower pretreatment PNI (< 49.5) was demonstrated to be associated with lower age, serum sodium levels and platelet counts, and with a higher incidence of IVIG resistance and higher C-reactive protein levels. There was a significantly negative association between the PNI and NLR, and PLR. Univariate and multivariate analyses revealed that PNI, NLR and PLR were independent predictive factors for IVIG resistance. The discriminatory ability of PNI was not inferior to NLR, PLR and their combination (NLR > 3.58 and PLR > 164) for predicting IVIG resistance, respectively. Pretreatment PNI may serve as a novel surrogate independent predictor for IVIG-resistant KD.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Burns JC, Capparelli EV, Brown JA, Newburger JW, Glode MP (1998) Intravenous gamma-globulin treatment and retreatment in Kawasaki disease. US/Canadian Kawasaki Syndrome Study Group. Pediatr Infect Dis J 17(12):1144–1148

    Article  CAS  PubMed  Google Scholar 

  2. Wallace CA, French JW, Kahn SJ, Sherry DD (2000) Initial intravenous gammaglobulin treatment failure in Kawasaki disease. Pediatrics 105(6):E78

    Article  CAS  PubMed  Google Scholar 

  3. Wu S, Liao Y, Sun Y, Zhang CY, Zhang QY, Yan H, Qi JG, Liu XQ, Chen YH, Wang YL, Li XY, Jin HF, Du JB (2020) Prediction of intravenous immunoglobulin resistance in Kawasaki disease in children. World J Pediatr 16(6):607–613

    Article  CAS  PubMed  Google Scholar 

  4. Ha KS, Lee J, Jang GY, Lee J, Lee KC, Son CS, Lee JW (2015) Value of neutrophil-lymphocyte ratio in predicting outcomes in Kawasaki disease. Am J Cardiol 116(2):301–306

    Article  PubMed  Google Scholar 

  5. Chen Y, Hua Y, Zhang C, Chen S, Zhang Q, Liao Y, Yan H, Wang Y, Liu P, Qi J, Liu X, Chen Y, Tang C, Jin H, Du J (2019) Neutrophil-to-lymphocyte ratio predicts intravenous immunoglobulin-resistance in infants under 12-months old with Kawasaki disease. Front Pediatr 7:81

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Wu G, Yue P, Ma F, Zhang Y, Zheng X, Li Y (2020) Neutrophil-to-lymphocyte ratio as a biomarker for predicting the intravenous immunoglobulin-resistant Kawasaki disease. Medicine (Baltimore) 99(6):e18535

    Article  CAS  Google Scholar 

  7. Takeshita S, Kanai T, Kawamura Y, Yoshida Y, Nonoyama S (2017) A comparison of the predictive validity of the combination of the neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio and other risk scoring systems for intravenous immunoglobulin (ivig)-resistance in Kawasaki disease. PLoS ONE 12(5):e0176957

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Kawamura Y, Takeshita S, Kanai T, Yoshida Y, Nonoyama S (2016) The combined usefulness of the neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios in predicting intravenous immunoglobulin resistance with Kawasaki disease. J Pediatr 178:281-284.e1

    Article  PubMed  Google Scholar 

  9. Tan XH, Zhang XW, Wang XY, He XQ, Fan C, Lyu TW, Tian J (2019) A new model for predicting intravenous immunoglobin-resistant Kawasaki disease in Chongqing: a retrospective study on 5277 patients. Sci Rep 9(1):1722

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  10. Qi F, Zhou X, Wang Y, Wang Y, Wang Y, Zhang Q, Cong R, Yang J, Song N (2018) Pre-treatment prognostic nutritional index may serve as a potential biomarker in urinary cancers: a systematic review and meta-analysis. Cancer Cell Int 18:207

    Article  PubMed  PubMed Central  Google Scholar 

  11. Lu Z, Yan W, Liang J, Yu M, Liu J, Hao J, Wan Q, Liu J, Luo C, Chen Y (2020) Nomogram based on systemic immune-inflammation index to predict survival of tongue cancer patients who underwent cervical dissection. Front Oncol 10:341

    Article  PubMed  PubMed Central  Google Scholar 

  12. Huang X, Hu H, Zhang W, Shao Z (2019) Prognostic value of prognostic nutritional index and systemic immune-inflammation index in patients with osteosarcoma. J Cell Physiol 234(10):18408–18414

    Article  CAS  PubMed  Google Scholar 

  13. Wang X, Wang Y (2019) The prognostic nutritional index is prognostic factor of gynecological cancer: a systematic review and meta-analysis. Int J Surg 67:79–86

    Article  PubMed  Google Scholar 

  14. Hu Y, Shen J, Liu R, Feng Z, Zhang C, Ling L, Chen L (2018) Prognostic value of pretreatment prognostic nutritional index in non-small cell lung cancer: a systematic review and meta-analysis. Int J Biol Markers 33(4):372–378

    Article  CAS  PubMed  Google Scholar 

  15. Hayıroğlu Mİ, Keskin M, Keskin T, Uzun AO, Altay S, Kaya A, Öz A, Çinier G, Güvenç TS, Kozan Ö (2018) A novel independent survival predictor in pulmonary embolism: prognostic nutritional index. Clin Appl Thromb Hemost 24(4):633–639

    Article  PubMed  Google Scholar 

  16. Chen QJ, Qu HJ, Li DZ, Li XM, Zhu JJ, Xiang Y, Li L, Ma YT, Yang YN (2017) Prognostic nutritional index predicts clinical outcome in patients with acute ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention. Sci Rep 7(1):3285

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Keskin M, Hayıroğlu MI, Keskin T, Kaya A, Tatlısu MA, Altay S, Uzun AO, Börklü EB, Güvenç TS, Avcı II, Kozan Ö (2017) A novel and useful predictive indicator of prognosis in ST-segment elevation myocardial infarction, the prognostic nutritional index. Nutr Metab Cardiovasc Dis 27(5):438–446

    Article  CAS  PubMed  Google Scholar 

  18. Chen XL, Wei XB, Huang JL, Ke ZH, Tan N, Chen JY, Liu YH, Yu DQ (2020) The prognostic nutritional index might predict clinical outcomes in patients with idiopathic dilated cardiomyopathy. Nutr Metab Cardiovasc Dis 30(3):393–399

    Article  PubMed  Google Scholar 

  19. Shirakabe A, Hata N, Kobayashi N, Okazaki H, Matsushita M, Shibata Y, Nishigoori S, Uchiyama S, Asai K, Shimizu W (2018) The prognostic impact of malnutrition in patients with severely decompensated acute heart failure, as assessed using the Prognostic Nutritional Index (PNI) and Controlling Nutritional Status (CONUT) score. Heart Vessels 33(2):134–144

    Article  PubMed  Google Scholar 

  20. Tai IH, Wu PL, Guo MM, Lee J, Chu CH, Hsieh KS, Kuo HC (2020) Prognostic nutrition index as a predictor of coronary artery aneurysm in Kawasaki Disease. BMC Pediatr 20(1):203

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Newburger JW, Takahashi M, Gerber MA, Gewitz MH, Tani LY, Burns JC, Shulman ST, Bolger AF, Ferrieri P, Baltimore RS, Wilson WR, Baddour LM, Levison ME, Pallasch TJ, Falace DA, Taubert KA, Committee on Rheumatic Fever, Endocarditis, and Kawasaki Disease CoCDitY, Association AH (2004) Diagnosis, treatment, and long-term management of Kawasaki disease: a statement for health professionals from the Committee on Rheumatic Fever, Endocarditis, and Kawasaki Disease, Council on Cardiovascular Disease in the Young American Heart Association. Pediatrics 114(6):1708–1733

    Article  PubMed  Google Scholar 

  22. McCrindle BW, Rowley AH, Newburger JW, Burns JC, Bolger AF, Gewitz M, Baker AL, Jackson MA, Takahashi M, Shah PB, Kobayashi T, Wu MH, Saji TT, Pahl E, American Heart Association Rheumatic Fever, Endocarditis, Young aKDCotCoCDit, Nursing CoCaS, Anesthesia CoCSa, Prevention aCoEa (2017) Diagnosis, treatment, and long-term management of Kawasaki disease: a scientific statement for health professionals from the American heart association. Circulation 135(17):e927-927e999

    Article  PubMed  Google Scholar 

  23. Wang Y, Wang W, Gong F, Fu S, Zhang Q, Hu J, Qi Y, Xie C, Zhang Y (2013) Evaluation of intravenous immunoglobulin resistance and coronary artery lesions in relation to Th1/Th2 cytokine profiles in patients with Kawasaki disease. Arthritis Rheum 65(3):805–814

    Article  CAS  PubMed  Google Scholar 

  24. Hanley JA, McNeil BJ (1983) A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 148(3):839–843

    Article  CAS  PubMed  Google Scholar 

  25. Kobayashi T, Inoue Y, Takeuchi K, Okada Y, Tamura K, Tomomasa T, Kobayashi T, Morikawa A (2006) Prediction of intravenous immunoglobulin unresponsiveness in patients with Kawasaki disease. Circulation 113(22):2606–2612

    Article  PubMed  Google Scholar 

  26. Kuo HC, Liang CD, Wang CL, Yu HR, Hwang KP, Yang KD (2010) Serum albumin level predicts initial intravenous immunoglobulin treatment failure in Kawasaki disease. Acta Paediatr 99(10):1578–1583

    Article  PubMed  Google Scholar 

  27. Colotta F, Allavena P, Sica A, Garlanda C, Mantovani A (2009) Cancer-related inflammation, the seventh hallmark of cancer: links to genetic instability. Carcinogenesis 30(7):1073–1081

    Article  CAS  PubMed  Google Scholar 

  28. Grivennikov SI, Greten FR, Karin M (2010) Immunity, inflammation, and cancer. Cell 140(6):883–899

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Zahorec R (2001) Ratio of neutrophil to lymphocyte counts–rapid and simple parameter of systemic inflammation and stress in critically ill. Bratisl Lek Listy 102(1):5–14

    CAS  PubMed  Google Scholar 

  30. Ray-Coquard I, Cropet C, Van Glabbeke M, Sebban C, Le Cesne A, Judson I, Tredan O, Verweij J, Biron P, Labidi I, Guastalla JP, Bachelot T, Perol D, Chabaud S, Hogendoorn PC, Cassier P, Dufresne A, Blay JY, European Organization for Research and Treatment of Cancer Soft Tissue and Bone Sarcoma Group (2009) Lymphopenia as a prognostic factor for overall survival in advanced carcinomas, sarcomas, and lymphomas. Cancer Res 69(13):5383–539191

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Liu X, Zhou K, Hua Y, Wu M, Liu L, Shao S, Wang C (2020) Prospective evaluation of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio for intravenous immunoglobulin resistance in a large cohort of Kawasaki disease patients. Pediatr Infect Dis J 39(3):229–231

    Article  PubMed  Google Scholar 

  32. Do YS, Kim KW, Chun JK, Cha BH, Namgoong MK, Lee HY (2010) Predicting factors for refractory Kawasaki disease. Korean Circ J 40(5):239–242

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Yang S, Song R, Zhang J, Li X, Li C (2019) Predictive tool for intravenous immunoglobulin resistance of Kawasaki disease in Beijing. Arch Dis Child 104(3):262–267

    Article  PubMed  Google Scholar 

  34. Kanai T, Takeshita S, Kawamura Y, Kinoshita K, Nakatani K, Iwashima S, Takizawa Y, Hirono K, Mori K, Yoshida Y, Nonoyama S (2020) The combination of the neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as a novel predictor of intravenous immunoglobulin resistance in patients with Kawasaki disease: a multicenter study. Heart Vessels 35(10):1463–1472

    Article  PubMed  Google Scholar 

  35. Ahn SS, Jung SM, Song JJ, Park YB, Lee SW (2018) Prognostic nutritional index is correlated with disease activity in patients with systemic lupus erythematosus. Lupus 27(10):1697–1705

    Article  CAS  PubMed  Google Scholar 

  36. Correa-Rodríguez M, Pocovi-Gerardino G, Callejas-Rubio JL, Fernández RR, Martín-Amada M, Cruz-Caparros MG, Ortego-Centeno N, Rueda-Medina B (2019) The prognostic nutritional index and nutritional risk index are associated with disease activity in patients with systemic lupus erythematosus. Nutrients 11(3):638

    Article  PubMed Central  CAS  Google Scholar 

  37. Cheng YL, Sung SH, Cheng HM, Hsu PF, Guo CY, Yu WC, Chen CH (2017) Prognostic nutritional index and the risk of mortality in patients with acute heart failure. J Am Heart Assoc 6(6):e004876

    Article  PubMed  PubMed Central  Google Scholar 

  38. Min JY, Woo A, Chae MS, Hong SH, Park CS, Choi JH, Chung HS (2020) Predictive impact of modified-prognostic nutritional index for acute kidney injury within 1-week after living donor liver transplantation. Int J Med Sci 17(1):82–88

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Wu S, Long Y, Chen S, Huang Y, Liao Y, Sun Y, Zhang Q, Zhang C, Yan H, Qi J, Liu X, Chen Y, Zhang Y, Du J (2019) A New scoring system for prediction of intravenous immunoglobulin resistance of Kawasaki disease in infants under 1-year old. Front Pediatr 7:514

    Article  PubMed  PubMed Central  Google Scholar 

  40. Mirili C, Yılmaz A, Demirkan S, Bilici M, Basol Tekin S (2019) Clinical significance of prognostic nutritional index (PNI) in malignant melanoma. Int J Clin Oncol 24(10):1301–1310

    Article  CAS  PubMed  Google Scholar 

  41. Sun Y, Huang Z, Chi P (2020) An inflammation index-based prediction of treatment response to neoadjuvant chemoradiotherapy for rectal mucinous adenocarcinoma. Int J Clin Oncol 25(7):1299–1307

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We acknowledge for their contribution Ju Zeng (The First People's Hospital of Yibin, SiChuan, China), Zhengxia Han (The Second People's Hospital of Yibin, SiChuan, China), Guoguang Jian (Luzhou people's Hospital, SiChuan, China) and Zhiling Ran (Southwest Medical University Affiliated Hospital of traditional Chinese Medicine, SiChuan, China).

Funding

This work was supported by Foundation of Southwest Medical University (NO. 2017-ZRQN-061 and NO. 2017-ZRQN-120).

Author information

Authors and Affiliations

Authors

Contributions

GL and XX conceived of and designed this study, designed the data collection instrument, joined the consensus conference, drafted the initial manuscript, and reviewed and revised the manuscript, approved the final manuscript as submitted and agree to be accountable for all aspects of the work. PC participated in the data collection. RZ participated in the consensus conference, critically reviewed the manuscript for important intellectual content, approved the final manuscript as submitted and agreed to be accountable for all aspects of the work. BL analyzed the data and drafted the initial manuscript. All authors reviewed the manuscript.

Corresponding author

Correspondence to Gang Li.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, G., Xu, X., Chen, P. et al. Prognostic value of pretreatment prognostic nutritional index in intravenous immunoglobulin-resistant Kawasaki disease. Heart Vessels 36, 1366–1373 (2021). https://doi.org/10.1007/s00380-021-01819-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00380-021-01819-w

Keywords

Navigation