Objective
To evaluate the accuracy of the persistent AKI risk index (PARI) in
predicting acute kidney injury within 72 hours after admission to the
intensive care unit, persistent acute kidney injury, renal replacement
therapy, and death within 7 days in patients hospitalized due to acute
respiratory failure.
Methods
This study was done in a cohort of diagnoses of consecutive adult patients
admitted to the intensive care unit of eight hospitals in Curitiba, Brazil,
between March and September 2020 due to acute respiratory failure secondary
to suspected COVID-19. The COVID-19 diagnosis was confirmed or refuted by
RT-PCR for the detection of SARS-CoV-2. The ability of PARI to predict acute
kidney injury at 72 hours, persistent acute kidney injury, renal replacement
therapy, and death within 7 days was analyzed by ROC curves in comparison to
delta creatinine, SOFA, and APACHE II.
Results
Of the 1,001 patients in the cohort, 538 were included in the analysis. The
mean age was 62 ± 17 years, 54.8% were men, and the median APACHE II
score was 12. At admission, the median SOFA score was 3, and 83.3% had no
renal dysfunction. After admission to the intensive care unit, 17.1% had
acute kidney injury within 72 hours, and through 7 days, 19.5% had
persistent acute kidney injury, 5% underwent renal replacement therapy, and
17.1% died. The PARI had an area under the ROC curve of 0.75 (0.696 - 0.807)
for the prediction of acute kidney injury at 72 hours, 0.71 (0.613 - 0.807)
for renal replacement therapy, and 0.64 (0.565 - 0.710) for death.
Conclusion
The PARI has acceptable accuracy in predicting acute kidney injury within 72
hours and renal replacement therapy within 7 days of admission to the
intensive care unit, but it is not significantly better than the other
scores.