Abstract
Purpose
Comorbidity has a significant impact on the health status and treatment outcome of a patient. The Charlson comorbidity index (CCI) is a frequently used scoring system, which evaluates the prognosis based on the patient’s comorbid conditions. The aim of this study was to evaluate the usefulness of CCI in predicting the mortality and renal recovery in non-critically ill patients with severe AKI.
Methods
A total of 530 adult patients who were referred from the emergency department and underwent intermittent urgent hemodialysis (uHD) were enrolled in the study. Personal history for comorbidities were recorded and then assessed using the CCI.
Results
The mean CCI score was 3.3 ± 2.6. In our multivariate analysis, higher white blood cell count was associated with mortality (p = 0.023). The other parameters including CCI score were not found to be significantly associated with mortality excluding patients with sepsis. Moreover, the CCI was not significantly useful in the discrimination of patients with complete recovery from patients who remained dependent to dialysis.
Conclusions
We could not find significant association between CCI and short-term hospital mortality and renal outcome. Whereas, malnutrition, inflammation and general aging may have impact on short-term mortality among patients.
Similar content being viewed by others
References
Ponce D, Balbi A (2016) Acute kidney injury: risk factors and management challenges in developing countries. Int J Nephrol Renovasc Dis 9:193–200. https://doi.org/10.2147/IJNRD.S104209
Priyamvada PS, Jayasurya R, Shankar V, Parameswaran S (2018) Epidemiology and outcomes of acute kidney injury in critically Ill: experience from a Tertiary Care Center. Indian J Nephrol 28:413–420. https://doi.org/10.4103/ijn.IJN_191_17
Charlson ME, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40:373–383. https://doi.org/10.1016/0021-9681(87)90171-8
Jönsen A, Clarke AE, Joseph L et al (2011) Association of the Charlson comorbidity index with mortality in systemic lupus erythematosus. Arthritis Care Res (Hoboken) 63:1233–1237. https://doi.org/10.1002/acr.20506
Quan H, Li B, Couris CM et al (2011) Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol 173:676–682. https://doi.org/10.1093/aje/kwq433
Bannay A, Chaignot C, Blotière PO et al (2016) The best use of the Charlson Comorbidity Index with electronic health care database to predict mortality. Med Care 54:188–194. https://doi.org/10.1097/MLR.0000000000000471
Simard M, Sirois C, Candas B (2018) Validation of the combined Comorbidity Index of Charlson and elixhauser to predict 30-day mortality across ICD-9 and ICD-10. Med Care 56:441–447. https://doi.org/10.1097/MLR.0000000000000905
Yang CC, Fong Y, Lin LC et al (2018) The age-adjusted Charlson comorbidity index is a better predictor of survival in operated lung cancer patients than the Charlson and Elixhauser comorbidity indices. Eur J Cardiothorac Surg 53:235–240. https://doi.org/10.1093/ejcts/ezx215
Chen JY, Tsai SH, Chuang PH et al (2014) A comorbidity index for mortality prediction in Chinese patients with ESRD receiving hemodialysis. Clin J Am Soc Nephrol 9:513–519. https://doi.org/10.2215/CJN.03100313
Yalın SF, Trabulus S, Alagöz S et al (2019) Clinical features and outcomes in acute kidney injury patients who underwent urgent dialysis in a regular hemodialysis unit. Turk J Nephrol 28:168–177. https://doi.org/10.5152/turkjnephrol.2019.3196
Aspelin P, Barsoum RS, Burdmann EA et al (2012) Kidney Disease: Improving Global Outcomes (KDIGO): KDIGO clinical practice guidelines for Acute Kidney Injury. Kidney Int Suppl 2:8. https://doi.org/10.1038/kisup.2012.7
Kaukonen KM, Bailey M, Pilcher D, Cooper DJ, Bellomo R (2015) Systemic inflammatory response syndrome criteria in defining severe sepsis. N Engl J Med 372:1629–1638. https://doi.org/10.1056/NEJMoa1415236
Liu V, Escobar GJ, Greene JD et al (2014) Hospital deaths in patients with sepsis from 2 independent cohorts. JAMA 312:90–92. https://doi.org/10.1001/jama.2014.5804
Epstein L, Dantes R, Magill S, Fiore A (2016) Varying estimates of sepsis mortality using death certificates and administrative codes-United States, 1999–2014. MMWR Morb Mortal Wkly Rep 65:342–345. https://doi.org/10.15585/mmwr.mm6513a2
Huang YQ, Gou R, Diao YS et al (2014) Charlson comorbidity index helps predict the risk of mortality for patients with type 2 diabetic nephropathy. J Zhejiang Univ Sci B 15:58–66. https://doi.org/10.1631/jzus.B1300109
de Groot V, Beckerman H, Lankhorst GJ, Bouter LM (2003) How to measure comorbidity: a critical review of available methods. J Clin Epidemiol 56:221–229. https://doi.org/10.1016/s0895-4356(02)00585-1
Hemmelgarn BR, Manns BJ, Quan H, Ghali WA (2003) Adapting the Charlson Comorbidity Index for use in patients with ESRD. Am J Kidney Dis 42:125–132. https://doi.org/10.1016/s0272-6386(03)00415-3
Ortiz Librero M, Mon Mon C, Herrero Berrón JC et al (2009) The importance of comorbidity in nephrologists’ assessment of acute kidney failure. [Article in Spanish]. Nefrologia 29:430–438. https://doi.org/10.3265/nefrologia.2009.29.5.5157.en.full
Bagshaw SM, Laupland KB, Doig CJ et al (2005) Prognosis for long-term survival and renal recovery in critically ill patients with severe acute kidney failure: a population-based study. Crit Care 9:R700–R709. https://doi.org/10.1186/cc3879
Bagshaw SM, Mortis G, Godinez-Luna T et al (2006) Renal recovery after severe acute kidney failure. Int J Artif Organs 29:1023–1030. https://doi.org/10.1177/039139880602901102
Talib S, Sharif F, Manzoor S et al (2017) Charlson Comorbidity Index for prediction of outcome of acute kidney injury in critically ill patients. Iran J Kidney Dis 11:115–123 (PMID:28270643)
Pinheiro KHE, Azêdo FA, Areco KCN, Laranja SMR (2019) Risk factors and mortality in patients with sepsis, septic and non septic acute kidney injury in ICU. J Bras Nefrol 41:462–471. https://doi.org/10.1590/2175-8239-jbn-2018-0240
Bagshaw SM, Uchino S, Bellomo R et al (2007) Beginning and Ending Supportive Therapy for the Kidney (BEST Kidney) Investigators. Septic acute kidney injury in critically ill patients: clinical characteristics and outcomes. Clin J Am Soc Nephrol 2:431–439. https://doi.org/10.2215/CJN.03681106
Han SS, Ahn SY, Ryu J et al (2014) U-shape relationship of white blood cells with acute kidney injury and mortality in critically ill patients. Tohoku J Exp Med 232:177–185
Bagshaw SM, George C, Bellomo R, ANZICS Database Management Committee (2008) Early acute kidney injury and sepsis: a multicentre evaluation. Crit Care 12:R47. https://doi.org/10.1186/cc6863
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Yalin, S.F., Bakir, A., Trabulus, S. et al. The Charlson Comorbidity Index: can it predict the outcome in acute kidney injury?. Int Urol Nephrol 52, 1713–1718 (2020). https://doi.org/10.1007/s11255-020-02499-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11255-020-02499-7