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Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis

  • Authors:
    • Ran Wang
    • Xingshun Qi
    • Xiaozhong Guo
  • View Affiliations / Copyright

    Affiliations: Liver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Shenyang Military Region, Shenyang, Liaoning 110840, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 5733-5742
    |
    Published online on: October 17, 2017
       https://doi.org/10.3892/etm.2017.5321
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Abstract

Ascites is among the most common complications of liver cirrhosis and is associated with a high mortality rate. The present retrospective study aimed to evaluate the potential correlation between in‑hospital mortality of liver cirrhosis and volume of ascites. Patients with liver cirrhosis who were admitted to the General Hospital of Shenyang Military Region (Shenyang, China) between June 2012 and June 2014 and underwent axial abdomino‑pelvic computed tomography (CT) scans were retrospectively reviewed. The volume of ascites was approximated using a five‑point method, and diagnostic accuracy was expressed by the area under the receiver operating characteristic curves (AUROCs) with 95% confidence intervals (CIs). Of the 177 patients reviewed in the present study, 117 (61.10%) exhibited ascites on CT scans, and the in‑hospital mortality rate was 4.52% (8/177). Child‑Pugh and model for end‑stage liver disease (MELD) scores were significantly increased in the presence of ascites (P<0.001). The in‑hospital mortality rate did not differ significantly between patients with and without ascites (P=0.052). In patients with ascites >300 ml (n=72), the AUROCs of the Child‑Pugh score, MELD score, and ascites volume for predicting in‑hospital mortality were 0.939 (95% CI, 0.856‑0982), 0.952 (95% CI, 0.873‑0.988), and 0.782 (95% CI, 0.668‑0.871), respectively. These AUROCs did not differ significantly. In conclusion, quantification of ascites may aid to predict the in‑hospital mortality rate of cirrhotic patients.
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Copy and paste a formatted citation
Spandidos Publications style
Wang R, Qi X and Guo X: Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis. Exp Ther Med 14: 5733-5742, 2017.
APA
Wang, R., Qi, X., & Guo, X. (2017). Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis. Experimental and Therapeutic Medicine, 14, 5733-5742. https://doi.org/10.3892/etm.2017.5321
MLA
Wang, R., Qi, X., Guo, X."Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis". Experimental and Therapeutic Medicine 14.6 (2017): 5733-5742.
Chicago
Wang, R., Qi, X., Guo, X."Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis". Experimental and Therapeutic Medicine 14, no. 6 (2017): 5733-5742. https://doi.org/10.3892/etm.2017.5321
Copy and paste a formatted citation
x
Spandidos Publications style
Wang R, Qi X and Guo X: Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis. Exp Ther Med 14: 5733-5742, 2017.
APA
Wang, R., Qi, X., & Guo, X. (2017). Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis. Experimental and Therapeutic Medicine, 14, 5733-5742. https://doi.org/10.3892/etm.2017.5321
MLA
Wang, R., Qi, X., Guo, X."Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis". Experimental and Therapeutic Medicine 14.6 (2017): 5733-5742.
Chicago
Wang, R., Qi, X., Guo, X."Quantification of ascites based on abdomino‑pelvic computed tomography scans for predicting the in‑hospital mortality of liver cirrhosis". Experimental and Therapeutic Medicine 14, no. 6 (2017): 5733-5742. https://doi.org/10.3892/etm.2017.5321
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