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The study aims to evaluate the performance of the prediction algorithm NAVOY® AKI in a Swedish adult ICU patient population versus fulfilment of KDIGO diagnostic criteria.
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| Measure | Description | Time Frame |
|---|---|---|
| Prediction performance of NAVOY® AKI | The sensitivity, specificity, and accuracy will be calculated comparing the algorithm's predictions with the true AKI outcome. | Data from ICU stay between December 2020 to October 2021. |
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Inclusion Criteria:
Exclusion Criteria:
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Adult ICU patient population
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| Name | Affiliation | Role |
|---|---|---|
| Fredrik Sjövall, MD PhD | Skånes Universitetssjukhus | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Intensiv- och perioperativ vård | Malmö | 20502 | Sweden |
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| ID | Term |
|---|---|
| D058186 | Acute Kidney Injury |
| ID | Term |
|---|---|
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
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| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |