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Plasma neutrophil gelatinase-associated lipocalin independently predicts dialysis need and mortality in critical COVID-19. | LitMetric

AI Article Synopsis

  • * A study in Sweden involving 498 COVID-19 patients found that NGAL, along with other markers like creatinine and cystatin c, effectively predicted the need for continuous renal replacement therapy (CRRT) and mortality rates.
  • * The results indicated high predictive accuracy, with an area under the curve (AUC) of 0.95 for CRRT initiation and 0.83 for 90-day survival, suggesting NGAL's potential role in refining clinical scoring systems for these patients.

Article Abstract

Neutrophil gelatinase-associated lipocalin (NGAL) is a novel kidney injury and inflammation biomarker. We investigated whether NGAL could be used to predict continuous renal replacement therapy (CRRT) and mortality in critical coronavirus disease 2019 (COVID-19). This prospective multicenter cohort study included adult COVID-19 patients in six intensive care units (ICUs) in Sweden between May 11, 2020 and May 10, 2021. Blood was sampled at admission, days two and seven in the ICU. The samples were batch analyzed for NGAL, creatinine, and cystatin c after the end of the study period. Initiation of CRRT and 90-day survival were used as dependent variables in regression models. Of 498 included patients, 494 were analyzed regarding CRRT and 399 were analyzed regarding survival. Seventy patients received CRRT and 154 patients did not survive past 90 days. NGAL, in combination with creatinine and cystatin c, predicted the subsequent initiation of CRRT with an area under the curve (AUC) of 0.95. For mortality, NGAL, in combination with age and sex, had an AUC of 0.83. In conclusion, NGAL is a valuable biomarker for predicting subsequent initiation of CRRT and 90-day mortality in critical COVID-19. NGAL should be considered when developing future clinical scoring systems.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954663PMC
http://dx.doi.org/10.1038/s41598-024-57409-zDOI Listing

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