Clinical prediction rule for bacterial arthritis: Chi-squared automatic interaction detector decision tree analysis model.
Bacterial arthritis
chi-squared automatic interaction detector analysis
predictive rule
risk factors
Journal
SAGE open medicine
ISSN: 2050-3121
Titre abrégé: SAGE Open Med
Pays: England
ID NLM: 101624744
Informations de publication
Date de publication:
2023
2023
Historique:
received:
25
10
2022
accepted:
14
02
2023
entrez:
27
3
2023
pubmed:
28
3
2023
medline:
28
3
2023
Statut:
epublish
Résumé
Differences in demographic factors, symptoms, and laboratory data between bacterial and non-bacterial arthritis have not been defined. We aimed to identify predictors of bacterial arthritis, excluding synovial testing. This retrospective cross-sectional survey was performed at a university hospital. All patients included received arthrocentesis from January 1, 2010, to December 31, 2020. Clinical information was gathered from medical charts from the time of synovial fluid sample collection. Factors potentially predictive of bacterial arthritis were analyzed using the Student's A total of 460 patients (male/female = 229/231; mean ± standard deviation age, 70.26 ± 17.66 years) were included, of whom 68 patients (14.8%) had bacterial arthritis. The chi-squared automatic interaction detector decision tree analysis revealed that patients with C-reactive protein > 21.09 mg/dL (incidence of septic arthritis: 48.7%) and C-reactive protein ⩽ 21.09 mg/dL plus 27.70 < platelet count ⩽ 30.70 × 10 Our results emphasize that patients categorized as high risk of bacterial arthritis, and appropriate treatment could be initiated as soon as possible.
Identifiants
pubmed: 36969723
doi: 10.1177/20503121231160962
pii: 10.1177_20503121231160962
pmc: PMC10034275
doi:
Types de publication
Journal Article
Langues
eng
Pagination
20503121231160962Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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