Predictors risk factors for acute complex appendicitis pain in patients: Are there gender differences?

Appendicitis computed tomography diagnosis gender predictors ultrasound

Journal

Journal of family medicine and primary care
ISSN: 2249-4863
Titre abrégé: J Family Med Prim Care
Pays: India
ID NLM: 101610082

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 21 01 2020
revised: 13 03 2020
accepted: 08 04 2020
entrez: 28 9 2020
pubmed: 29 9 2020
medline: 29 9 2020
Statut: epublish

Résumé

The purpose of this study is to determine the predictive risk factors for appendicitis and the cost-effectiveness of using abdominal helical computed tomography (CT) in comparison to abdominal ultrasonography (US) for the diagnosis of acute appendicitis in patients. The typical case was a patient with abdominal pain in the right lower quadrant and suspicion of appendicitis. A total of 643 patients who were consequently treated with appendectomy upon diagnosis of acute appendicitis between January 2015 and December 2018 were included in the study. The four diagnostic alternatives chosen were US, CT, biochemistry parameters, and physical examination in the hospital. There were statistically significant differences between male and female patients with regards to age, BMI, cigarette smoking, sheesha smoking, family history of diabetes, hypertension and family history of gastrointestinal discomfort (GI), anxiety ( CT is more cost-effective than the US and clinical examination for determining appendicitis. The current study suggested that nausea, C-reactive protein, dizziness, vomiting, muscular symptoms, irritable bowel syndrome, guarding, and loss appetite were considered as higher risk predictors for appendicitis patients.

Identifiants

pubmed: 32984108
doi: 10.4103/jfmpc.jfmpc_140_20
pii: JFMPC-9-2688
pmc: PMC7491777
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2688-2692

Informations de copyright

Copyright: © 2020 Journal of Family Medicine and Primary Care.

Déclaration de conflit d'intérêts

There are no conflicts of interest.

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Auteurs

Cem Cahit Barışık (CC)

Department of Radiology, Medipol School of Medicine, Istanbul Medipol University, Istanbul, Turkey.

Abdulbari Bener (A)

Department of Biostatistics and Medical Informatics, Cerrahpaşa Faculty of Medicine, Istanbul University Cerrahpaşa, Istanbul, Turkey.
Department of Evidence for Population Health Unit, School of Epidemiology and Health Sciences, The University of Manchester, Manchester, UK.
Department of Public Health, Medipol School of Medicine, Istanbul Medipol University, Istanbul, Turkey.

Classifications MeSH