Quality Outcomes in Appendicitis Care: Identifying Opportunities to Improve Care.

Adult Appendicitis Score Alvarado score Appendicitis Inflammatory Response score appendectomy appendicitis negative appendectomy rate re-admission

Journal

Life (Basel, Switzerland)
ISSN: 2075-1729
Titre abrégé: Life (Basel)
Pays: Switzerland
ID NLM: 101580444

Informations de publication

Date de publication:
18 Dec 2020
Historique:
received: 18 11 2020
revised: 07 12 2020
accepted: 16 12 2020
entrez: 23 12 2020
pubmed: 24 12 2020
medline: 24 12 2020
Statut: epublish

Résumé

Appendicitis is one of the most common causes of acute abdominal pain requiring surgical intervention, but the variability of diagnosis and management continue to challenge the surgeons. An ethically approved retrospective cohort study was undertaken between March 2016 and March 2017 at a single university hospital of all consecutive adult and paediatric patients undergoing appendectomy. Demographic data including age, gender, co-morbidities, presentation and triage timings along with investigation, imaging and operative data were analysed. Appendicitis was defined as acute based on histology coupled with intraoperative grading with the American Association for the Surgery of Trauma (AAST) grades. Complications using the Clavien-Dindo classification along with 30-day re-admission rates and the negative appendectomy rates (NAR) were recorded and categorised greater and less than 25%. The use of scoring systems was assessed, and retrospective scoring performed to compare the Alvarado, Adult Appendicitis Score (AAS) and the Appendicitis Inflammatory Response (AIR) score. The negative appendectomy and re-admission rates were unacceptably high and need to be reduced. Minimising surgical variance with use of scoring systems and introduction of pathways may be a strategy to reduce NAR. New systems of feedback need to be introduced to improve outcomes.

Identifiants

pubmed: 33352906
pii: life10120358
doi: 10.3390/life10120358
pmc: PMC7767194
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Syed Mohammad Umar Kabir (SMU)

Donegal Clinical Research Academy and Department of Surgery Letterkenny University Hospital, Letterkeny, Co. F92 AE81 Donegal, Ireland.

Magda Bucholc (M)

Intelligent Systems Research Centre, University of Ulster, Magee Campus, Londonderry BT48 7JL, UK.

Carol-Ann Walker (CA)

EU INTERREG Emergency Surgery Outcome Advancement Project, Centre for Personalised Medicine, X728 HG Letterkenny, Ireland.

Opeyemi O Sogaolu (OO)

Donegal Clinical Research Academy and Department of Surgery Letterkenny University Hospital, Letterkeny, Co. F92 AE81 Donegal, Ireland.

Saqib Zeeshan (S)

Donegal Clinical Research Academy and Department of Surgery Letterkenny University Hospital, Letterkeny, Co. F92 AE81 Donegal, Ireland.

Michael Sugrue (M)

Donegal Clinical Research Academy and Department of Surgery Letterkenny University Hospital, Letterkeny, Co. F92 AE81 Donegal, Ireland.
EU INTERREG Emergency Surgery Outcome Advancement Project, Centre for Personalised Medicine, X728 HG Letterkenny, Ireland.

Classifications MeSH