Electrocardiographic time-intervals waveforms as potential predictors for severe acute kidney injury in critically ill patients

HIGHLIGHTS

  • who: Francesco Corradi and colleagues from the Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy have published the research work: Electrocardiographic Time-Intervals Waveforms as Potential Predictors for Severe Acute Kidney Injury in Critically Ill Patients, in the Journal: (JOURNAL) of 11/02/2021
  • what: A-STI was associated with the development of AKI at day 5 and provided the best diagnostic accuracy for the diagnosis of any AKI or severe AKI compared with RDRI, VII, and v-STI.
  • how: The Kruskal-Wallis non-parametric one . . .

     

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