Clinical scoring model for predicting cefotaxime-resistance in <italic>Klebsiella pneumoniae</italic> bacteremia: development and validation based on portal of entry.

AbstractWe developed a prediction model for cefotaxime resistance in patients with <italic>K. pneumoniae</italic> bacteremia. Adult patients with <italic>K. pneumoniae</italic> bacteremia were grouped into derivation (from March 2018 to December 2019) and validation (from January 2020 to August 2020) cohorts. The prediction scoring system was based on factors associated with cefotaxime resistance identified by the logistic regression model. A total of 358 patients were enrolled (256 for derivation, 102 for validation). In the multivariable analysis, age ≥65 years, hospital-acquired infection, prior antimicrobial use, and an updated Charlson comorbidity index ≥3 points were associated with cefotaxime resistance in the derivation cohort. When each variable was counted as 1 point, the values of the area under the curve were 0.761 in the derivation and 0.781 in the validation cohorts. The best cutoff value using the Youden index was ≥2 with 73.6% sensitivity and 67.5% specificity. Our simple scoring system favorably predicted cefotaxime resistance. [ABSTRACT FROM AUTHOR]