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 Apr 14;69(4):e20221052.
doi: 10.1590/1806-9282.20221052. eCollection 2023.

CHAMPS score in predicting mortality of patients with acute nonvariceal upper gastrointestinal bleeding

Affiliations

CHAMPS score in predicting mortality of patients with acute nonvariceal upper gastrointestinal bleeding

Hakan Aydin et al. Rev Assoc Med Bras (1992). .

Abstract

Objective: The aim of this study was to evaluate the performance of the Charlson Comorbidity Index ≥2, in-hospital onset, albumin <2.5 g/dL, altered mental status, Eastern Cooperative Oncology Group performance status ≥2, steroid use score in predicting mortality in patients with nonvariceal upper gastrointestinal bleeding and compare it with the Glasgow-Blatchford score; the albumin, international normalized ratio; alteration in mental status, systolic blood pressure, and age 65 score; the age, blood tests, and comorbidities score; and Complete Rockall score.

Methods: The data of patients with acute upper gastrointestinal bleeding who visited the emergency department during the study period were obtained from the hospital automation system by using the classification of disease codes and analyzed in this retrospective study. Adult patients with endoscopically confirmed nonvariceal upper gastrointestinal bleeding were included in the study. Patients with bleeding from the tumor, bleeding after endoscopic resection, or missing data were excluded. The prediction accuracy of the Charlson Comorbidity Index ≥ 2, in-hospital onset, albumin < 2.5 g/dL, altered mental status, Eastern Cooperative Oncology Group performance status ≥ 2, steroid use score was calculated using the area under the receiver operating characteristic curve and compared with that of Glasgow-Blatchford score, the albumin, international normalized ratio; alteration in mental status, systolic blood pressure, and age 65 score, the age, blood tests, and comorbidities score, and Complete Rockall score.

Results: A total of 805 patients were included in the study, and the in-hospital mortality rate was 6.6%. The performance of the Charlson Comorbidity Index ≥ 2, in-hospital onset, albumin < 2.5 g/dL, altered mental status, Eastern Cooperative Oncology Group performance status ≥ 2, steroid use score (area under the receiver operating characteristic curve 0.812, 95%CI 0.783-0.839) was better than Glasgow-Blatchford score (area under the receiver operating characteristic curve 0.683, 95%CI 0.650-0.713, p=0.008), and similar to the the age, blood tests, and comorbidities score (area under the receiver operating characteristic curve 0.829, 95%CI 0.801-0.854, p=0.563), the albumin, international normalized ratio; alteration in mental status, systolic blood pressure, and age 65 score (area under the receiver operating characteristic curve 0.794, 95%CI 0.764-0.821, p=0.672), and Complete Rockall score (area under the receiver operating characteristic curve 0.761, 95%CI 0.730-0.790, p=0.106).

Conclusion: The performance of the Charlson Comorbidity Index ≥ 2, in-hospital onset, albumin < 2.5 g/dL, altered mental status, Eastern Cooperative Oncology Group performance status ≥ 2, steroid use score in predicting in-hospital mortality for our study population is better than Glasgow-Blatchford score and similar to the the age, blood tests, and comorbidities score, the albumin, international normalized ratio; alteration in mental status, systolic blood pressure, and age 65 score, and Complete Rockall score.

PubMed Disclaimer

Conflict of interest statement

Conflicts of interest: the authors declare there is no conflicts of interest.

Figures

Figure 1
Figure 1. Flowchart of the study.

Similar articles

Cited by

References

    1. Wuerth BA, Rockey DC. Changing epidemiology of upper gastrointestinal hemorrhage in the last decade: a nationwide analysis. Dig Dis Sci. 2018;63(5):1286–1293. doi: 10.1007/s10620-017-4882-6. - DOI - PubMed
    1. Laine L, Yang H, Chang SC, Datto C. Trends for incidence of hospitalization and death due to GI complications in the United States from 2001 to 2009. Am J Gastroenterol. 2012;107(8):1190–1195. doi: 10.1038/ajg.2012.168. - DOI - PubMed
    1. Lee PL, Yang KS, Tsai HW, Hou SK, Kang YN, Chang CC. Tranexamic acid for gastrointestinal bleeding: a systematic review with meta-analysis of randomized clinical trials. Am J Emerg Med. 2021;45:269–279. doi: 10.1016/j.ajem.2020.08.062. - DOI - PubMed
    1. Hearnshaw SA, Logan RF, Lowe D, Travis SP, Murphy MF, Palmer KR. Acute upper gastrointestinal bleeding in the UK: patient characteristics, diagnoses and outcomes in the 2007 UK audit. Gut. 2011;60(10):1327–1335. doi: 10.1136/gut.2010.228437. - DOI - PubMed
    1. Thiebaud PC, Yordanov Y. European guidelines on the management of upper gastrointestinal bleeding: where are emergency physicians? Eur J Emerg Med. 2022;29(1):7–8. doi: 10.1097/MEJ.0000000000000896. - DOI - PubMed