Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Nov 16;18(11):e0294335.
doi: 10.1371/journal.pone.0294335. eCollection 2023.

Predictive value of serum creatinine and total bilirubin for long-term death in patients with ischemic heart disease: A cohort study

Affiliations

Predictive value of serum creatinine and total bilirubin for long-term death in patients with ischemic heart disease: A cohort study

Zulihuma Seyiti et al. PLoS One. .

Abstract

Background: Ischemic heart disease (IHD) has a high mortality in the population. Although serum creatinine (Cr) and serum total bilirubin (TBil) are rapid and readily available biomarkers in routine blood tests, there is a lack of literature on the prognostic value of combined Cr and TBil tests for IHD. This study aimed to evaluate a combined equation based on Cr and TBil to predict the long-term risk of death in IHD and to find indicators sensitive to the prognosis of IHD patients.

Method: In this study, 2625 patients with IHD were included, and the combined value and combined equations of Cr and TBil were obtained by logistic regression analysis based on Cr and TBil collected at the time of admission. Patients were divided into four groups according to the quartiles of the combined value. COX proportional hazard regression model was used to analyze the risk factors for long-term death in IHD patients. Receiver operating characteristic (ROC) curves were used to evaluate the prognostic effect of Cr, TBil and combined value on long-term death events.

Results: Logistic regression analysis was performed for long-term death events with Cr and TBil as independent variables, and the logit regression model was Logit(P) = 0.0129×TBil+0.007×Cr-0.417. Multifactorial Cox regression analysis showed that high values of the equation were independent risk factors for long-term death events (all-cause death: HR 1.457, 95% CI 1.256-1.689, P<0.001; cardiovascular death: HR 1.452, 95% CI 1.244-1.695, P<0.001). Combined Cr and TBil value are more valuable in predicting long-term death (AUC: 0.609, 95% CI 0.587-0.630, P<0.001).

Conclusion: Combined Cr and TBil assay is superior to single biomarkers for predicting long-term death in patients with IHD. High values of the equation are independent predictors of long-term death and can be used to identify patients at high risk for IHD.

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. The flow chart illustrates the inclusion and exclusion criteria for patients in this study, and the entire process of data collection and follow-up.
Fig 2
Fig 2. Kaplan-Meier survival rates for long-term death in different groups of IHD patients.
(A) All-cause death; (B) Cardiovascular death.
Fig 3
Fig 3. Restricted cubic spline (RCS) plot of the association between the combined value of Cr and TBil with the risk of long-term death in IHD patients.
(A) All-cause death; (B) Cardiovascular death. Blue lines represent references for HRs, and blue areas represent 95% confidence intervals. The model was adjusted for gender, age, BMI, smoking, drinking, hypertension, diabetes, albumin, left ventricular ejection fraction, fasting plasma glucose, triglyceride, total cholesterol, admission of myocardial infarction, heart failure, arrhythmia, and past percutaneous coronary intervention.
Fig 4
Fig 4. Receiver operating characteristic (ROC) curves of Cr, TBil, and combined value as markers to predict all-cause death in patients with IHD.

Similar articles

References

    1. Odonkor PN, Grigore AM. Patients with ischemic heart disease. Med Clin North Am. 2013. Nov;97(6):1033–50. doi: 10.1016/j.mcna.2013.05.006 - DOI - PubMed
    1. Severino P, D’Amato A, Pucci M, et al.. Ischemic Heart Disease Pathophysiology Paradigms Overview: From Plaque Activation to Microvascular Dysfunction. Int J Mol Sci. 2020; 21(21):8118. doi: 10.3390/ijms21218118 - DOI - PMC - PubMed
    1. Ahmadi A, Stone GW, Leipsic J, et al.. Prognostic Determinants of Coronary Atherosclerosis in Stable Ischemic Heart Disease: Anatomy, Physiology, or Morphology? Circ Res. 2016; 119(2):317–29. doi: 10.1161/CIRCRESAHA.116.308952 - DOI - PubMed
    1. Nowbar AN, Gitto M, Howard JP, Francis DP, Al-Lamee R. Mortality From Ischemic Heart Disease. Circ Cardiovasc Qual Outcomes. 2019; 12(6):e005375. doi: 10.1161/CIRCOUTCOMES.118.005375 - DOI - PMC - PubMed
    1. Sibilitz KL, Benn M, Nordestgaard BG. Creatinine, eGFR and association with myocardial infarction, ischemic heart disease and early death in the general population. Atherosclerosis. 2014; 237(1):67–75. doi: 10.1016/j.atherosclerosis.2014.08.040 - DOI - PubMed