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CN 22-1108/R
Volume 40 Issue 2
Feb.  2024
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Article Navigation >  Journal of Clinical Hepatology  > 2024  >  40(2): 264-270

Value of serum creatinine-to-cystatin C ratio in assessing the prognosis of hepatitis B virus-related acute-on-chronic liver failure

DOI: 10.12449/JCH240208

  • Department of Infectious Diseases，The First Affiliated Hospital of Soochow University，Suzhou，Jiangsu 215000，China

Research funding:

National S & T Major Project (2017ZX10203201002-002)

More Information
  • Corresponding author: GAN Jianhe， ganjianhe2023@163.com （ORCID： 0009-0001-3837-2745）
  • Received Date: 2023-05-26
  • Accepted Date: 2023-06-27
  • Published Date: 2024-02-19
    Abstract
  •   Objective  To investigate the clinical value of serum creatinine-to-cystatin C ratio （CCR） in evaluating the prognosis of hepatitis B virus-related acute-on-chronic liver failure （HBV-ACLF）.  Methods  A retrospective analysis was performed for the clinical data of 130 patients with HBV-ACLF （treatment group） who were hospitalized in Department of Infectious Diseases， The First Affiliated Hospital of Soochow University， from January 2021 to November 2022. According to the treatment outcome， they were divided into survival group with 87 patients and death group with 43 patients； according to the presence or absence of infection， they were divided into infection group with 37 patients and non-infection group with 93 patients. A total of 30 individuals who underwent physical examination during the same period of time were enrolled as control group. Routine blood test results were collected on the day of admission， including white blood cell count， platelet count， neutrophil count， and lymphocyte count； serum creatinine， cystatin C， serum albumin （Alb）， and prothrombin time （PT） were observed on the day of admission and on days 5， 10， and 15 of hospitalization， and related indicators were calculated， including CCR， neutrophil-to-lymphocyte ratio （NLR）， platelet-to-lymphocyte ratio （PLR）， prognostic nutritional index （PNI）， CCR5 （CCR on day 5 after admission）， ΔCCR5 （CCR on day 5 after admission minus CCR on the day of admission）， CCR10 （CCR on day 10 after admission）， ΔCCR10 （CCR on day 10 after admission minus CCR on day 5 after admission）， CCR15 （CCR on day 15 after admission）， and ΔCCR15 （CCR on day 15 after admission minus CCR on day 10 after admission）. The above indicators were compared between the survival group and the death group and between the infection group and the non-infection group. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the Kruskal-Wallis H test was used for comparison between multiple groups. The univariate and multivariate logistic regression analyses were used to investigate the influencing factors for disease prognosis； the receiver operating characteristic （ROC） curve was used to assess the value of CCR in predicting HBV-ACLF death events， and the DeLong test was used for comparison of the area under the ROC curve （AUC）.  Results  There were significant differences in CCR， NLR， PNI， PT， and Alb at baseline between the treatment group and the healthy control group （all P<0.001）， and there were significant differences in CCR， NLR， and PT between the survival group and the death group on the day of admission （all P<0.05）. Among the 130 patients with HBV-ACLF， there were 25 in the precancerous stage， 48 in the early stage， 32 in the intermediate stage， and 25 in the advanced stage， and there were significant differences in baseline CCR， PLR， and PT between the patients in different stages of HBV-ACLF （all P<0.05）. There were significant differences in ΔCCR5 and NLR between the infection group and the non-infection group （P<0.05）， and there were significant differences in ΔCCR5， CCR10， and CCR15 between the survival group and the death group （all P<0.05）. The multivariate logistic regression analysis showed that ΔCCR5 （odds ratio ［OR］=1.175， 95% confidence interval ［CI］： 1.098‍ — ‍1.256， P<0.001）， NLR （OR=0.921， 95%CI： 0.880‍ — ‍0.964， P<0.001）， and PT （OR=0.921， 95%CI： 0.873‍ — ‍0.973， P=0.003） were independent influencing factors for the prognosis of HBV-ACLF patients. ΔCCR5 had an AUC of 0.774， a sensitivity of 0.687， and a specificity of 0.757， and the AUC of ΔCCR5+PT+NLR was 0.824， which was significantly higher than the AUC of ΔCCR5， NLR， or PT alone （all P<0.05）.  Conclusion  ΔCCR5， NLR， and PT can reflect the condition and prognosis of patients with HBV-ACLF and are independent predictive indicators for death events in patients with HBV-ACLF. The combination ofΔCCR5， PT， and NLR has the best predictive efficiency.

     

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