-
Something wrong with this record ?
Prediction of Acute Kidney Injury Development in Critically Ill Septic Patients Based on NGAL Determination
V. Klementa, N. Petejova, J. Zadrazil, P. Horak, J. Proskova, K. Langova, O. Klementova, M. Kanova, A. Martinek, R. Sigutova, D. Stejskal
Status minimal Language English Country Czech Republic
Document type Journal Article
NLK
Directory of Open Access Journals
from 1991
Free Medical Journals
from 1998
PubMed Central
from 2020
ProQuest Central
from 2005-01-01
Medline Complete (EBSCOhost)
from 2006-01-01
Nursing & Allied Health Database (ProQuest)
from 2005-01-01
Health & Medicine (ProQuest)
from 2005-01-01
ROAD: Directory of Open Access Scholarly Resources
from 1998
- MeSH
- Acute Kidney Injury * blood diagnosis MeSH
- Biomarkers * blood MeSH
- Adult MeSH
- Critical Illness * MeSH
- Middle Aged MeSH
- Humans MeSH
- Lipocalin-2 * blood MeSH
- Predictive Value of Tests MeSH
- Aged MeSH
- Sepsis * blood diagnosis MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
Acute kidney injury (AKI) is a consequence of several diseases that can severely damage kidney function. It is a frequent complication of hospitalization and very common in critically ill patients because of other serious illnesses, such as septic conditions. New diagnostic options, including renal biomarkers, may help in early diagnosis. Our study included 46 patients, 31 with AKI and 15 without AKI on admission. Blood samples were collected on the first, fourth, and seventh days of treatment, and in addition to basic biochemical parameters, neutrophil gelatinase-associated lipocalin (NGAL) levels in serum were also examined. Data from the first and seventh day were used for statistical analysis. On the first follow-up day, NGAL values were categorized according to an optimal cut-off value of 290 μg/l. We demonstrated that if NGAL levels were higher, the risk of renal injury increased approximately 16 times. Other results showed that NGAL levels were moderately correlated with serum creatinine (r = 0.613, p < 0.0001), procalcitonin (PCT) (r = 0.627, p < 0.0001), and AKI stage (r = 0.589, p < 0.0001). There was also a significant positive correlation with SOFA (Sequential Organ Failure Assessment) score (r = 0.395, p = 0.007). Early diagnosis and treatment are crucial in managing AKI and preventing further kidney damage. NGAL levels can increase within a few hours after injury, making it a useful tool for early AKI detection and diagnosis. Key words: Acute kidney injury, Biomarker, NGAL, Sepsis.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc25005494
- 003
- CZ-PrNML
- 005
- 20250312151255.0
- 007
- ta
- 008
- 250213s2024 xr f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.33549/physiolres.935336 $2 doi
- 035 __
- $a (PubMed)39903890
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xr
- 100 1_
- $a Klementa, V $u Department of Internal Medicine III - Nephrology, Rheumatology and Endocrinology, Faculty of Medicine and Dentistry, University Hospital Olomouc and Palacky University Olomouc, Olomouc, Czech Republic. Viktor.Klementa@fnol.cz
- 245 10
- $a Prediction of Acute Kidney Injury Development in Critically Ill Septic Patients Based on NGAL Determination / $c V. Klementa, N. Petejova, J. Zadrazil, P. Horak, J. Proskova, K. Langova, O. Klementova, M. Kanova, A. Martinek, R. Sigutova, D. Stejskal
- 520 9_
- $a Acute kidney injury (AKI) is a consequence of several diseases that can severely damage kidney function. It is a frequent complication of hospitalization and very common in critically ill patients because of other serious illnesses, such as septic conditions. New diagnostic options, including renal biomarkers, may help in early diagnosis. Our study included 46 patients, 31 with AKI and 15 without AKI on admission. Blood samples were collected on the first, fourth, and seventh days of treatment, and in addition to basic biochemical parameters, neutrophil gelatinase-associated lipocalin (NGAL) levels in serum were also examined. Data from the first and seventh day were used for statistical analysis. On the first follow-up day, NGAL values were categorized according to an optimal cut-off value of 290 μg/l. We demonstrated that if NGAL levels were higher, the risk of renal injury increased approximately 16 times. Other results showed that NGAL levels were moderately correlated with serum creatinine (r = 0.613, p < 0.0001), procalcitonin (PCT) (r = 0.627, p < 0.0001), and AKI stage (r = 0.589, p < 0.0001). There was also a significant positive correlation with SOFA (Sequential Organ Failure Assessment) score (r = 0.395, p = 0.007). Early diagnosis and treatment are crucial in managing AKI and preventing further kidney damage. NGAL levels can increase within a few hours after injury, making it a useful tool for early AKI detection and diagnosis. Key words: Acute kidney injury, Biomarker, NGAL, Sepsis.
- 650 _2
- $a lidé $7 D006801
- 650 12
- $a akutní poškození ledvin $x krev $x diagnóza $7 D058186
- 650 12
- $a lipokalin-2 $x krev $7 D000071068
- 650 12
- $a kritický stav $7 D016638
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé středního věku $7 D008875
- 650 12
- $a sepse $x krev $x diagnóza $7 D018805
- 650 _2
- $a senioři $7 D000368
- 650 12
- $a biologické markery $x krev $7 D015415
- 650 _2
- $a prediktivní hodnota testů $7 D011237
- 650 _2
- $a dospělí $7 D000328
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Petejova, N
- 700 1_
- $a Zadrazil, J
- 700 1_
- $a Horak, P
- 700 1_
- $a Proskova, J
- 700 1_
- $a Langova, K
- 700 1_
- $a Klementova, O
- 700 1_
- $a Kanova, M
- 700 1_
- $a Martinek, A
- 700 1_
- $a Sigutova, R
- 700 1_
- $a Stejskal, D
- 773 0_
- $w MED00003824 $t Physiological research $x 1802-9973 $g Roč. 73, č. 6 (2024), s. 1001-1011
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/39903890 $y Pubmed
- 910 __
- $a ABA008 $b A 4120 $c 266 $y - $z 0
- 990 __
- $a 20250213 $b ABA008
- 991 __
- $a 20250312151302 $b ABA008
- 999 __
- $a min $b bmc $g 2283550 $s 1242514
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2024 $b 73 $c 6 $d 1001-1011 $e 20241231 $i 1802-9973 $m Physiological research $n Physiol Res $x MED00003824
- LZP __
- $a Pubmed-20250213