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EP.FRI.464 Application of the Oakland score to a real world lower GI bleeding patient population
Author(s) -
Emily McKenzie,
Nicholas A. Bradley,
James Kynaston,
Greig Torpey
Publication year - 2021
Publication title -
british journal of surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.202
H-Index - 201
eISSN - 1365-2168
pISSN - 0007-1323
DOI - 10.1093/bjs/znab312.073
Subject(s) - medicine , emergency medicine , prospective cohort study , triage , population , emergency department , retrospective cohort study , surgery , environmental health , psychiatry
Aims Lower GI bleeding (LGIB) is a significant burden on healthcare resources with an estimated 21120 UK annual admissions. The Oakland score was developed in 2017 and allows patients to be triaged based on clinical and laboratory parameters to predict safe discharge; an Oakland score <8 predicts safe discharge with a 98.4% sensitivity. We aim to describe our experience at applying this scoring system to our practice.  Methods This retrospective single centre study included 25 consecutive emergency LGIB referrals to a busy district general hospital. Oakland score was retrospectively calculated from case notes and clinical outcomes followed up.  Results The average age of the patient group was 72.8 years, 56% were male. 64% of our patients were referred from ED with the remainder from GP. Mean Oakland score was 16.68. 40% of patients were on anti-platelets or a DOAC. The average length of stay was 2.56 days. 76% of these patients did not receive a blood transfusion and 73% did not undergo any imaging or endoscopy while an inpatient. Only 5 of the patients were sent home directly from the surgical assessment unit.  Conclusions Our preliminary real world experience suggests that routine use of the Oakland score will allow for safe rationalisation of inpatient services. Further prospective data collection is required to validate this approach. Our data represents only patients admitted to hospital, therefore the low-scoring patient population is not represented; these patients will be included in prospective analysis.

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