Literature DB >> 32640455

Predicting the risk of rebleeding after capsule endoscopy in obscure gastrointestinal bleeding - External validation of the RHEMITT Score.

João Carlos Silva, Rolando Pinho, Ana Ponte, Adélia Rodrigues, Ana Catarina Ribeiro Gomes, Edgar Afeto, João Carvalho.   

Abstract

BACKGROUND AND AIMS: Prediction of rebleeding after small bowel capsule endoscopy (SBCE) in obscure gastrointestinal bleeding (OGIB) is challenging. The recently described RHEMITT score includes 7 variables: chronic kidney disease (CKD); heart failure (HF); P1/P2 lesions (Saurin's classification); major bleeding; incomplete examination; smoking and endoscopic treatment. This tool has been shown to accurately predict the risk of recurrence after a SBCE study. The primary aim of this study was to perform an external validation of the RHEMITT score.
METHODS: Retrospective cohort-study, which consecutively included all patients submitted to SBCE (Mirocam®) for OGIB between January 2017 and December 2018. Rebleeding was defined as: (1) a drop in hemoglobin>2g/dL or (2) Melena or hematochezia. The RHEMITT score was calculated and subsequently the accuracy of the score for the prediction of rebleeding was assessed.
RESULTS: One-hundred and sixty patients were enrolled. Mean age was 65.8±13.6years and 58.1% (n=93) were female. The mean follow-up time was 20 (SD 9) months. Rebleeding occurred in 14.4% (n=23). Rebleeding at 6, 12, 18 and 24 months was 6.3%, 12.0%, 14.2% and 15.5% respectively. There was a significant association between the RHEMITT score and rebleeding (p <0.001). The area under the (AUC) ROC curve was 0.756 (p<0.001). Rebleeding occurred earlier in intermediate and high-risk patients (RHEMITT score >3) being at 6-months 13.6% and 24 months 28.4% (p<0.01).
CONCLUSION: The present study carried out in an external validation cohort confirms the usefulness and accuracy of the RHEMITT score in predicting rebleeding after SBCE.
© 2020 S. Karger AG, Basel.

Entities:  

Year:  2020        PMID: 32640455     DOI: 10.1159/000509986

Source DB:  PubMed          Journal:  Dig Dis        ISSN: 0257-2753            Impact factor:   2.404


  2 in total

1.  Artificial intelligence and capsule endoscopy: automatic detection of vascular lesions using a convolutional neural network.

Authors:  Tiago Ribeiro; Miguel Mascarenhas Saraiva; João P S Ferreira; Hélder Cardoso; João Afonso; Patrícia Andrade; Marco Parente; Renato Natal Jorge; Guilherme Macedo
Journal:  Ann Gastroenterol       Date:  2021-07-02

Review 2.  Scoring systems in clinical small-bowel capsule endoscopy: all you need to know!

Authors:  Bruno Rosa; Reuma Margalit-Yehuda; Kelly Gatt; Martina Sciberras; Carlo Girelli; Jean-Christophe Saurin; Pablo Cortegoso Valdivia; Jose Cotter; Rami Eliakim; Flavio Caprioli; Gunnar Baatrup; Martin Keuchel; Pierre Ellul; Ervin Toth; Anastasios Koulaouzidis
Journal:  Endosc Int Open       Date:  2021-05-27
  2 in total

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