BACKGROUNDS: Predicting the development of acute kidney injury (AKI) in the critical care setting is challenging. Although several biomarkers showed somewhat satisfactory performance for detecting established AKI even in a heterogeneous disease-oriented population, identification of new biomarkers that predict the development of AKI accurately is urgently required. METHODS: A single-center prospective observational cohort study was undertaken to evaluate for the first time the reliability of the newly identified biomarker semaphorin 3A for AKI diagnosis in heterogeneous intensive care unit populations. In addition to five urinary biomarkers of L-type fatty acid-binding protein (L-FABP), neutrophil gelatinase-associated lipocalin (NGAL), IL-18, albumin and N-acetyl-β-d-glucosaminidase (NAG), urinary semaphorin 3A was measured at intensive care unit (ICU) admission. RESULTS AND CONCLUSION: Three hundred thirty-nine critically ill adult patients were recruited for this study. Among them, 131 patients (39%) were diagnosed with AKI by the RIFLE criteria and 66 patients were diagnosed as AKI at post-ICU admission (later-onset AKI). Eighty-four AKI patients showed worsening severity during 1 week observation (AKI progression). Although L-FABP, NGAL and IL-18 showed significantly higher area under the curve (AUC)-receiver operating characteristic (ROC) values than semaphorin 3A in detecting established AKI, semaphorin 3A was able to detect later-onset AKI and AKI progression with similar AUC-ROC values compared with the other five biomarkers [AUC-ROC (95% CI) for established AKI 0.64 (0.56-0.71), later-onset AKI 0.71 (0.64-0.78), AKI progression 0.71 (0.64-0.77)]. Urinary semaphorin 3A was not increased in non-progressive established AKI, while the other biomarkers were elevated regardless of further progression. Finally, sepsis did not have any impact on semaphorin 3A while the other urinary biomarkers were increased with sepsis. Semaphorin 3A is a new biomarker of AKI which may have a distinct predictive use for AKI progression when compared with other AKI biomarkers.
BACKGROUNDS: Predicting the development of acute kidney injury (AKI) in the critical care setting is challenging. Although several biomarkers showed somewhat satisfactory performance for detecting established AKI even in a heterogeneous disease-oriented population, identification of new biomarkers that predict the development of AKI accurately is urgently required. METHODS: A single-center prospective observational cohort study was undertaken to evaluate for the first time the reliability of the newly identified biomarker semaphorin 3A for AKI diagnosis in heterogeneous intensive care unit populations. In addition to five urinary biomarkers of L-type fatty acid-binding protein (L-FABP), neutrophil gelatinase-associated lipocalin (NGAL), IL-18, albumin and N-acetyl-β-d-glucosaminidase (NAG), urinary semaphorin 3A was measured at intensive care unit (ICU) admission. RESULTS AND CONCLUSION: Three hundred thirty-nine critically ill adult patients were recruited for this study. Among them, 131 patients (39%) were diagnosed with AKI by the RIFLE criteria and 66 patients were diagnosed as AKI at post-ICU admission (later-onset AKI). Eighty-four AKI patients showed worsening severity during 1 week observation (AKI progression). Although L-FABP, NGAL and IL-18 showed significantly higher area under the curve (AUC)-receiver operating characteristic (ROC) values than semaphorin 3A in detecting established AKI, semaphorin 3A was able to detect later-onset AKI and AKI progression with similar AUC-ROC values compared with the other five biomarkers [AUC-ROC (95% CI) for established AKI 0.64 (0.56-0.71), later-onset AKI 0.71 (0.64-0.78), AKI progression 0.71 (0.64-0.77)]. Urinary semaphorin 3A was not increased in non-progressive established AKI, while the other biomarkers were elevated regardless of further progression. Finally, sepsis did not have any impact on semaphorin 3A while the other urinary biomarkers were increased with sepsis. Semaphorin 3A is a new biomarker of AKI which may have a distinct predictive use for AKI progression when compared with other AKI biomarkers.
Authors: J A Russell; J Singer; G R Bernard; A Wheeler; W Fulkerson; L Hudson; R Schein; W Summer; P Wright; K R Walley Journal: Crit Care Med Date: 2000-10 Impact factor: 7.598
Authors: R L Allgren; T C Marbury; S N Rahman; L S Weisberg; A Z Fenves; R A Lafayette; R M Sweet; F C Genter; B R Kurnik; J D Conger; M H Sayegh Journal: N Engl J Med Date: 1997-03-20 Impact factor: 91.245
Authors: Kianoush Kashani; Ali Al-Khafaji; Thomas Ardiles; Antonio Artigas; Sean M Bagshaw; Max Bell; Azra Bihorac; Robert Birkhahn; Cynthia M Cely; Lakhmir S Chawla; Danielle L Davison; Thorsten Feldkamp; Lui G Forni; Michelle Ng Gong; Kyle J Gunnerson; Michael Haase; James Hackett; Patrick M Honore; Eric A J Hoste; Olivier Joannes-Boyau; Michael Joannidis; Patrick Kim; Jay L Koyner; Daniel T Laskowitz; Matthew E Lissauer; Gernot Marx; Peter A McCullough; Scott Mullaney; Marlies Ostermann; Thomas Rimmelé; Nathan I Shapiro; Andrew D Shaw; Jing Shi; Amy M Sprague; Jean-Louis Vincent; Christophe Vinsonneau; Ludwig Wagner; Michael G Walker; R Gentry Wilkerson; Kai Zacharowski; John A Kellum Journal: Crit Care Date: 2013-02-06 Impact factor: 9.097