Predicting infection in hospitalized patients with systemic lupus erythematosus

Takamichi Yuhara*, Hiroyuki Takemura, Takao Akama, Hiroshi Suzuki, Kazuhide Yamane, Heihachiro Kashiwagi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Citations (Scopus)


To identify the risk factors for infection and to develop a model for the prediction of infection in hospitalized patients with active systemic lupus erythematosus (SLE), we carried out a retrospective cohort study with clinical data collected from 121 consecutive patients with active SLE. Seventeen patients had infection within 6 months of beginning steroid therapy for active SLE. Independent multivariate predictors of infection were a decrease in the serum albumin value, an increase in the serum creatinine value, and prednisolone use in a dose of ≤60 mg/day without methylprednisolone pulse therapy. The error rate of the model by 10-fold cross-validation method was 12%, sensitivity was 65%, specificity was 91%, and positive predictive value was 55%. Four nonsurvivors were correctly discriminated. Use of this model could contribute to earlier diagnosis of infection and may assist decisions regarding empiric antimicrobial administration in patients with SLE.

Original languageEnglish
Pages (from-to)629-636
Number of pages8
JournalInternal Medicine
Issue number8
Publication statusPublished - 1996 Aug
Externally publishedYes


  • creatinine
  • prednisolone
  • risk factor
  • serum albumin

ASJC Scopus subject areas

  • Internal Medicine


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