ArticleThe Journal of international medical research2022
Clinical prediction rule for bacteremia with pyelonephritis and hospitalization judgment: chi-square automatic interaction detector (CHAID) decision tree analysis model.
Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Utility of shaking chills as a diagnostic sign for bacteremia in adults: a systematic review and meta-analysis.BMC medicine · 2024Pooled it
- Clinical Parameters Associated with Achieving Negative Fluid Balance in Critically Ill Patients: A Retrospective Cohort Study.Journal of clinical medicine · 2026Article
- Article
- Clinical prediction rule for bacterial arthritis: Chi-squared automatic interaction detector decision tree analysis model.SAGE open medicine · 2023Article
- [New predictive models of bacteremia in the emergency department: a step forward].Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2022Review
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Authors and funding
5 authors.
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Abstract
objectiveThis study was performed to identify predictive factors for bacteremia among patients with pyelonephritis using a chi-square automatic interaction detector (CHAID) decision tree analysis model.
methodsThis retrospective cross-sectional survey was performed at Juntendo University Nerima Hospital, Tokyo, Japan and included all patients with pyelonephritis from whom blood cultures were taken. At the time of blood culture sample collection, clinical information was extracted from the patients' medical charts, including vital signs, symptoms, laboratory data, and culture results. Factors potentially predictive of bacteremia among patients with pyelonephritis were analyzed using Student's
resultsIn total, 198 patients (60 (30.3%) men, 138 (69.7%) women; mean age, 74.69 ± 15.27 years) were included in this study, of whom 92 (46.4%) had positive blood culture results. The CHAID decision tree analysis revealed that patients with a white blood cell count of >21,000/μL had a very high risk (89.5%) of developing bacteremia. Patients with a white blood cell count of ≤21,000/μL plus chills plus an aspartate aminotransferase concentration of >19 IU/L constituted the high-risk group (69.0%).
conclusionThe present results are extremely useful for predicting the results of bacteremia among patients with pyelonephritis.
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