Korean J Transplant.  2023 Mar;37(1):19-28. 10.4285/kjt.22.0047.

Pretransplant C-reactive protein-to-albumin ratio predicts mortality in kidney transplant recipients: a retrospective cohort study

Affiliations
  • 1Department of Internal Medicine, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
  • 2Department of Pathology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
  • 3Department of Surgery, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
  • 4Department of Urology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
  • 5Department of Clinical Pathology, Kyungpook National University Hospital, School of Medicine, Kyungpook National University, Daegu, Korea

Abstract

Background
The C-reactive protein (CRP)-to-albumin ratio (CAR) is a more effective prognostic indicator than CRP or albumin alone in various diseases. This study aimed to evaluate the predictive value of the CAR for mortality in kidney transplant recipients (KTRs).
Methods
A total of 924 patients who underwent their f irst kidney transplantation at Kyungpook National University Hospital during 2006–2020 were enrolled and classified into quartile (Q) groups according to their pretransplant CAR values. A Cox regression analysis was conducted to analyze the hazard ratios (HRs) of mortality.
Results
Fifty-nine patients died during the posttransplant period (mean, 85.2±44.2 months). All-cause mortality (Q1, 3.0%; Q2, 4.8%; Q3, 7.8%; Q4, 10.0%; P for trend <0.001) and infection-related mortality increased linearly with an increase in CAR (P for trend=0.004). The Q3 and Q4 had higher risks of all-cause mortality than Q1 after adjusting for confounding factors (Q3: adjusted HR [aHR] 2.49, 95% confidence interval [CI] 1.04–5.99, P=0.041; Q4: aHR 3.09, 95% CI 1.31–7.27, P=0.010). Q4 was also independently associated with infection-related mortality (aHR 5.83, 95% CI 1.27–26.8, P=0.023). The area under the curve of the CAR for all-cause and infection-related mortality was higher than that of CRP or albumin alone. There was no association between CAR and death-censored graft failure or acute rejection.
Conclusions
A higher pretransplant CAR increases the risk of posttransplant mortality, particularly infection-related, in KTRs. Pretransplant CAR can be an effective and easily accessible predictor of posttransplant mortality.

Keyword

Albumin; C-reactive protein; C-reactive protein-to-albumin ratio; Kidney transplantation; Mortality

Figure

  • Fig. 1 Kaplan-Meier curves for patient survival according to the cause of death. (A) All-cause death (log-rank P=0.011). (B) Infection-related death (log-rank P=0.006). (C) Cardiovascular death (log-rank P=0.816). CAR, C-reactive protein to albumin ratio; Q, quartile.

  • Fig. 2 Receiver operating characteristic curves of prognostic predictors for patient death. (A) All-cause mortality. The AUC values are as follows: CAR (0.610), CRP (0.589), albumin (0.573). The cutoff value of the CAR was over 2.78%. (B) Infection-related mortality. The AUC values are as follows: CAR (0.678), CRP (0.636), albumin (0.675). The cutoff value of the CAR was over 7.40%. CAR, C-reactive protein-to-albumin ratio; CRP, C-reactive protein; AUC, area under the curve.


Reference

1. Park S, Kim M, Kim JE, Kim K, Park M, Kim YC, et al. 2020; Characteristics of kidney transplantation recipients over time in South Korea. Korean J Intern Med. 35:1457–67. DOI: 10.3904/kjim.2019.292. PMID: 32218102. PMCID: PMC7652657.
2. Song JY, Lee KW, Kim K, Kim KD, Yang J, Kwon JE, et al. 2021; Recipient efficacy and safety of kidney transplantation from older living donor: consideration for using older kidney as a solution to the shortage of organs. Korean J Transplant. 35:238–46. DOI: 10.4285/kjt.21.0020. PMID: 35769855. PMCID: PMC9235463.
3. Arend SM, Mallat MJ, Westendorp RJ, van der Woude FJ, van Es LA. 1997; Patient survival after renal transplantation; more than 25 years follow-up. Nephrol Dial Transplant. 12:1672–9. DOI: 10.1093/ndt/12.8.1672. PMID: 9269647.
4. Kaballo MA, Canney M, O'Kelly P, Williams Y, O'Seaghdha CM, Conlon PJ. 2018; A comparative analysis of survival of patients on dialysis and after kidney transplantation. Clin Kidney J. 11:389–93. DOI: 10.1093/ckj/sfx117. PMID: 29942504. PMCID: PMC6007575.
5. Carminatti M, Tedesco-Silva H, Silva Fernandes NM, Sanders-Pinheiro H. 2019; Chronic kidney disease progression in kidney transplant recipients: a focus on traditional risk factors. Nephrology (Carlton). 24:141–7. DOI: 10.1111/nep.13483. PMID: 30159972.
6. Cheng CY, Feng YT, Wang HY. 2020; Incidence and relative risk factors in posttransplant diabetes mellitus patients: a retrospective cohort study. Korean J Transplant. 34:213–37. DOI: 10.4285/kjt.20.0026. PMID: 35770107. PMCID: PMC9186811.
7. Soveri I, Holme I, Holdaas H, Budde K, Jardine AG, Fellström B. 2012; A cardiovascular risk calculator for renal transplant recipients. Transplantation. 94:57–62. DOI: 10.1097/TP.0b013e3182516cdc. PMID: 22683851.
8. Clayton PA, McDonald SP, Snyder JJ, Salkowski N, Chadban SJ. 2014; External validation of the estimated posttransplant survival score for allocation of deceased donor kidneys in the United States. Am J Transplant. 14:1922–6. DOI: 10.1111/ajt.12761. PMID: 24903739.
9. Lim JH, Lee CH, Kim KY, Jung HY, Choi JY, Cho JH, et al. 2018; Novel urinary exosomal biomarkers of acute T cell-mediated rejection in kidney transplant recipients: a cross-sectional study. PLoS One. 13:e0204204. DOI: 10.1371/journal.pone.0204204. PMID: 30226858. PMCID: PMC6143249.
10. Singh N, Samant H, Hawxby A, Samaniego MD. 2019; Biomarkers of rejection in kidney transplantation. Curr Opin Organ Transplant. 24:103–10. DOI: 10.1097/MOT.0000000000000606. PMID: 30540576.
11. Basile-Filho A, Lago AF, Menegueti MG, Nicolini EA, Rodrigues LA, Nunes RS, et al. 2019; The use of APACHE II, SOFA, SAPS 3, C-reactive protein/albumin ratio, and lactate to predict mortality of surgical critically ill patients: a retrospective cohort study. Medicine (Baltimore). 98:e16204. DOI: 10.1097/MD.0000000000016204. PMID: 31261567. PMCID: PMC6617482.
12. Jung J, Lee H, Heo JY, Chang MH, Lee E, Park WS, et al. 2021; High level of pre-treatment C-reactive protein to albumin ratio predicts inferior prognosis in diffuse large B-cell lymphoma. Sci Rep. 11:2674. DOI: 10.1038/s41598-021-82087-6. PMID: 33514832. PMCID: PMC7846592.
13. State N. 2021; CRP and the prognosis of patients with cirrhosis. Maedica (Bucur). 16:353–61. DOI: 10.26574/maedica.2021.16.3.353. PMID: 34925587. PMCID: PMC8643557.
14. Eckart A, Struja T, Kutz A, Baumgartner A, Baumgartner T, Zurfluh S, et al. 2020; Relationship of nutritional status, inflammation, and serum albumin levels during acute illness: a prospective study. Am J Med. 133:713–22. DOI: 10.1016/j.amjmed.2019.10.031. PMID: 31751531.
15. Gupta A, Gupta E, Hilsden R, Hawel JD, Elnahas AI, Schlachta CM, et al. 2021; Preoperative malnutrition in patients with colorectal cancer. Can J Surg. 64:E621–9. DOI: 10.1503/cjs.016820. PMID: 34824150. PMCID: PMC8628841.
16. Kalantar-Zadeh K, Kopple JD, Block G, Humphreys MH. 2001; A malnutrition-inflammation score is correlated with morbidity and mortality in maintenance hemodialysis patients. Am J Kidney Dis. 38:1251–63. DOI: 10.1053/ajkd.2001.29222. PMID: 11728958.
17. Ma L, Zhao S. 2017; Risk factors for mortality in patients undergoing hemodialysis: a systematic review and meta-analysis. Int J Cardiol. 238:151–8. DOI: 10.1016/j.ijcard.2017.02.095. PMID: 28341375.
18. Amygdalos I, Bednarsch J, Meister FA, Erren D, Mantas A, Strnad P, et al. 2021; Clinical value and limitations of the preoperative C-reactive-protein-to-albumin ratio in predicting post-operative morbidity and mortality after deceased-donor liver transplantation: a retrospective single-centre study. Transpl Int. 34:1468–80. DOI: 10.1111/tri.13957. PMID: 34157178.
19. Liu S, Qiu P, Luo L, Jiang L, Chen Y, Yan C, et al. 2020; Serum C-reactive protein to albumin ratio and mortality associated with peritoneal dialysis. Ren Fail. 42:600–6. DOI: 10.1080/0886022X.2020.1783680. PMID: 32602387. PMCID: PMC7946068.
20. Lim JH, Cho JH, Jung HY, Choi JY, Park SH, Kim YL, et al. 2019; Excellent outcome after desensitization in high immunologic risk kidney transplantation. PLoS One. 14:e0222537. DOI: 10.1371/journal.pone.0222537. PMID: 31550258. PMCID: PMC6759155.
21. Solez K, Colvin RB, Racusen LC, Haas M, Sis B, Mengel M, et al. 2008; Banff 07 classification of renal allograft pathology: updates and future directions. Am J Transplant. 8:753–60. DOI: 10.1111/j.1600-6143.2008.02159.x. PMID: 18294345.
22. Kim MH, Ahn JY, Song JE, Choi H, Ann HW, Kim JK, et al. 2015; The C-reactive protein/albumin ratio as an independent predictor of mortality in patients with severe sepsis or septic shock treated with early goal-directed therapy. PLoS One. 10:e0132109. DOI: 10.1371/journal.pone.0132109. PMID: 26158725. PMCID: PMC4497596.
Article
23. Akchurin OM, Kaskel F. 2015; Update on inflammation in chronic kidney disease. Blood Purif. 39:84–92. DOI: 10.1159/000368940. PMID: 25662331.
Article
24. Ansar W, Ghosh S. 2013; C-reactive protein and the biology of disease. Immunol Res. 56:131–42. DOI: 10.1007/s12026-013-8384-0. PMID: 23371836.
25. Himmelfarb J, Ikizler TA. 2010; Hemodialysis. N Engl J Med. 363:1833–45. DOI: 10.1056/NEJMra0902710. PMID: 21047227.
Article
26. Oliveira EA, Zheng R, Carter CE, Mak RH. 2019; Cachexia/protein energy wasting syndrome in CKD: causation and treatment. Semin Dial. 32:493–9. DOI: 10.1111/sdi.12832. PMID: 31286575.
27. Slankamenac K, Graf R, Barkun J, Puhan MA, Clavien PA. 2013; The comprehensive complication index: a novel continuous scale to measure surgical morbidity. Ann Surg. 258:1–7. DOI: 10.1097/SLA.0b013e318296c732. PMID: 23728278.
28. Park J, Lim SJ, Choi HJ, Hong SH, Park CS, Choi JH, et al. 2019; Predictive utility of the C-reactive protein to albumin ratio in early allograft dysfunction in living donor liver transplantation: a retrospective observational cohort study. PLoS One. 14:e0226369. DOI: 10.1371/journal.pone.0226369. PMID: 31821367. PMCID: PMC6903745.
29. Turkmen K, Guney I, Yerlikaya FH, Tonbul HZ. 2012; The relationship between neutrophil-to-lymphocyte ratio and inflammation in end-stage renal disease patients. Ren Fail. 34:155–9. DOI: 10.3109/0886022X.2011.641514. PMID: 22172001.
30. Lim JH, Chung BH, Lee SH, Jung HY, Choi JY, Cho JH, et al. 2022; Omics-based biomarkers for diagnosis and prediction of kidney allograft rejection. Korean J Intern Med. 37:520–33. DOI: 10.3904/kjim.2021.518. PMID: 35417937. PMCID: PMC9082440.
Full Text Links
  • KJT
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr