Journal of Microbiology, Immunology and Infection (Aug 2023)

A simplified scoring model for predicting bacteremia in the unscheduled emergency department revisits: The SADFUL score

  • Chi-Hsin Chen,
  • Chun-Ju Lien,
  • Yu-Sheng Huang,
  • Yi-Ju Ho,
  • Shao-Yung Lin,
  • Cheng-Yi Fan,
  • Jiun-Wei Chen,
  • Edward Pei-Chuan Huang,
  • Chih-Wei Sung

Journal volume & issue
Vol. 56, no. 4
pp. 793 – 801

Abstract

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Background: Bacteremia is a severe complication of infectious disease. Patients with a high bacteremia risk in the emergency department (ED) but misidentified would lead to the unscheduled revisits. This study aimed to develop a simplified scoring model to predict bacteremia in patients with unscheduled ED revisits. Methods: Adult patients with unscheduled ED revisits within 72 h with a final diagnosis of infectious disease were retrospectively included. The development cohort included patients visiting the ED from January 1, 2019 to December 31, 2021. Internal validation was performed in patients visiting the ED from January 1, 2022 to March 31, 2022. Variables including demographics, pre-comorbidities, triage levels, vital signs, chief complaints, and laboratory data in the index visit were analyzed. Bacteremia was the primary outcome determined by blood culture in either index visits or revisits. Results: The SADFUL score for predicting bacteremia comprised the following predictors: “S”egmented neutrophil percentage (+3 points), “A”ge > 55 years (+1 point), “D”iabetes mellitus (+1 point), “F”ever (+2 points), “U”pper respiratory tract symptoms (−2 points), and “L”eukopenia (2 points). The area under receiver operating characteristic curve with 95% confidence interval in the development (1802 patients, 190 [11%] with bacteremia) and the validation cohort (134 patients, 17 [13%] with bacteremia) were 0.78 (0.74–0.81) and 0.79 (0.71–0.88), respectively. Conclusions: The SADFUL score is a simplified useful tool for predicting bacteremia in patients with unscheduled ED revisits. The scoring model could help ED physicians decrease misidentification of patients at a high risk for bacteremia and potential complications.

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