AI Article Synopsis
- The study focuses on predicting severe complications in sepsis, like acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), disseminated intravascular coagulation (DIC), and shock, by using a combination of urinary neutrophil gelatinase-associated lipocalin (uNGAL) levels and inflammation-based prognostic scores rather than uNGAL alone.
- ROC curve analyses determined specific cut-off values for uNGAL across several days, indicating its predictive usefulness for AKI, DIC, and shock with varying effectiveness (AUC values ranging from 0.71 to 0.86).
- Multivariate logistic regression identified inflammation-based scores, specifically iNS NGAL-PI, as a strong independent predictor
Article Abstract
Objective: Sepsis is a syndrome involving life-threatening organ dysfunction. The present study aimed to determine whether septic AKI, ARDS, DIC, and shock can be predicted more readily by combining uNGAL values and inflammation-based prognostic scores, over the use of uNGAL values alone.
Results: ROC curve analyses yielded the following cut-off values: AKI: 438.5 (ng/ml) for uNGAL at Day 1 (AUC, 0.8), 476.9 (ng/ml) for uNGAL at Day 2 (AUC, 0.86), 123.8 (ng/ml) for uNGAL at Day 3 (AUC, 0.81), 133.6 (ng/ml) for uNGAL at Day 4 (AUC, 0.78), 1.0 for iNS NGAL-NLR (AUC, 0.75), 2.0 for iNS NGAL-PI (AUC, 0.77), DIC; 648.5 (ng/ml) for uNGAL at Day 1 (AUC, 0.77); shock; 123.8 (ng/ml) for uNGAL at Day 3 (AUC, 0.71) and 9 for SOFA (AUC, 0.71). Multivariate logistic regression analyses revealed iNS NGAL-PI to be a significant independent predictor of AKI (OR, 20.62; 95% CI, 1.03-412.3; p = 0.048).
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7437032 | PMC |
| http://dx.doi.org/10.1186/s13104-020-05232-w | DOI Listing |
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