Development and validation of a real-time prediction model for acute kidney injury in hospitalized patients

Early prediction of acute kidney injury (AKI) may provide a crucial opportunity for AKI prevention. To date, no prediction model targeting AKI among general hospitalized patients in developing countries has been published. Here we show a simple, real-time, interpretable AKI prediction model for general hospitalized patients developed from a large tertiary hospital in China, which has been validated across five independent, geographically distinct, different tiered hospitals. The model containing 20 readily available variables demonstrates consistent, high levels of predictive discrimination in validation cohort, with AUCs for serum creatinine-based AKI and severe AKI within 48 h ranging from 0.74–0.85 and…

• PU
  Peking University First Hospital

  Award: 2022CR83
• NN
  National Natural Science Foundation of China

  Awards: 82130021, 2019-I2M-5-046, 2021051
• PU
  Peking University

  Award: 2022CR83
• BN
  Beijing Nova Program

  Award: 2021051
• PU
  Peking University Health Science Center