Effect of hospital-admission volume on outcomes following acute non-variceal upper gastrointestinal bleeding
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INTRODUCTION: Treatment-requiring acute non-variceal upper gastrointestinal bleeding (NVUGIB) is a common, potentially life-threatening emergency. This study investigated whether hospital admittance volume of patients with NVUGIB was associated with reduced mortality, reduced lasting failure of haemostatic procedures defined as rate of re-endoscopy with repeated haemostasis intervention (ReWHI), transfusion requirements and conversion to surgery.
METHODS: Data on Danish nationwide admissions of patients with acute NVUGIB from 2011-2013 were analysed to estimate 30-day mortality, re-bleeding (ReWHI), transfusion rates and rates of conversion to surgery. Data were analysed by regression modelling while controlling for confounders including age, admission haemoglobin, the American College of Anesthesiologists score, comorbidities and the Forrest classification.
RESULTS: A total of 3,537 patients with acute non-variceal upper gastrointestinal bleeding were included in the study. The hospital admission volume of patients with NVUGIB was positively associated with a significant increase in ReWHI with an odds ratio of 1.27; p = 1.91 × 10-6. There was no significant association between admission volume and conversion to surgery, 30-day mortality or transfusion rates.
CONCLUSIONS: A positive association between admission volumes of patients with NVUGIB and ReWHI was identified. No association between admission volumes and 30-day mortality or other failure of haemostasis events could be identified.
TRIAL REGISTRATION: not applicable.
|Journal||Danish Medical Journal|
|Number of pages||5|
|Publication status||Published - 2019|
- Aged, Aged, 80 and over, Blood Transfusion/statistics & numerical data, Conversion to Open Surgery/statistics & numerical data, Denmark, Female, Gastrointestinal Hemorrhage/mortality, Hemostatic Techniques/mortality, Hospital Mortality, Hospitals/statistics & numerical data, Humans, Male, Odds Ratio, Patient Admission/statistics & numerical data, Recurrence, Registries, Regression Analysis, Treatment Outcome