Investigation of risk factors predicting recurrence of XXXX and development of a recurrence risk score.

@entity1 @entity407 @entity101 @entity548 @entity299
AIM: @entity548 often recurs. Several studies have identified risk factors for recurrence, but to our knowledge, none have focused on risk factors in the clinical situation. The present study aimed to identify risk factors for the recurrence of @entity548 and to create a recurrence risk score. METHOD: Hospitalized @entity1 diagnosed with diverticular bleeding from 2008 to 2013 (N = 151) were included in a retrospective cohort study. Risk factors predicting re-bleeding were identified using multivariate analysis, and a risk score was developed using receiver operator characteristic (ROC) analysis. RESULTS: Recurrence was identified in 52 @entity1 (34.4%) at a median interval of 11.5 months. A history of @entity101 and @entity407 , a @entity299 on admission, and longer hospitalization period were significant risk factors for re-bleeding. We developed a re-bleeding risk score by using these 4 factors; the area under the curve of ROC curve was 0.8. With this risk score, if the cut-off point is 7, then the sensitivity is very high (94%; specificity: 26%); if the cutoff point is 14, the specificity is very high (97%; sensitivity: 40%). This enables the division of @entity1 into 3 groups: high risk, intermediate risk, and low risk. CONCLUSION: @entity548 often recurs, and @entity1 have high recurrence rates within short periods. Risk factors for re-bleeding include a history of @entity101 and @entity407 , @entity299 , and longer hospitalization period, and the risk score may supply useful information for clinicians to aid management.
