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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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Diagnostic Accuracy of Neutrophil Gelatinase-Associated Lipocalin for Predicting Early Diabetic Nephropathy in Patients with Type 1 and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis

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Συγγραφέας
Kapoula G.V., Kontou P.I., Bagos P.G.
Ημερομηνία
2019
Γλώσσα
en
DOI
10.1373/jalm.2018.028530
Λέξη-κλειδί
biological marker
LCN2 protein, human
neutrophil gelatinase associated lipocalin
blood
complication
diabetic nephropathy
disease exacerbation
early diagnosis
human
insulin dependent diabetes mellitus
meta analysis
metabolism
non insulin dependent diabetes mellitus
urine
Biomarkers
Diabetes Mellitus, Type 1
Diabetes Mellitus, Type 2
Diabetic Nephropathies
Disease Progression
Early Diagnosis
Humans
Lipocalin-2
NLM (Medline)
Εμφάνιση Μεταδεδομένων
Επιτομή
BACKGROUND: Currently, there is a lack of prediction markers for diabetic nephropathy (DN) in patients with type 1 and type 2 diabetes mellitus (T1DM/T2DM). The aim of this systematic review and meta-analysis was to evaluate the value of a promising biomarker, neutrophil gelatinase-associated lipocalin (NGAL), in both serum and urine for the diagnosis of early DN in T1DM and T2DM patients with different stages of albuminuria. METHODS: A comprehensive search was performed on PubMed by 2 reviewers until September 2018. Studies in which (a) the degree of DN was determined according to the urinary albumin/creatinine ratio and (b) NGAL was measured in healthy individuals and in diabetes patients with DN were included in the meta-analysis. For each study, a 2 × 2 contingency table was formulated. Sensitivity, specificity, and other estimates of accuracy were calculated using a bivariate random effects model. The hierarchical summary ROC method was used to pool data and to evaluate the area under the curve (AUC). The sources of heterogeneity were explored by subgroup analysis. Publication bias was assessed using the Deeks test. RESULTS: The meta-analysis enrolled 22 studies involving 683 healthy individuals and 3249 patients with diabetes, of which 488 were T1DM and 2761 were T2DM patients. Overall, pooled sensitivity and specificity among the different settings analyzed ranged from 0.42 (95% CI, 0.22-0.66) to 1.00 (95% CI, 0.99-1.00) and 0.72 (95% CI, 0.62-0.80) to 0.98 (95% CI, 0.50-1.00) in T2DM patients, respectively. For T1DM patients, the corresponding estimates were 0.71 (95% CI, 0.59-0.81) to 0.89 (95% CI, 0.64-0.97) and 0.72 (95% CI, 0.62-0.80) to 0.79 (95% CI, 0.67-0.87). The AUC of NGAL for T2DM patients ranged from 0.69 (95% CI, 0.65-0.73) to 1.00 (95% CI, 0.99-1.00) in the different settings. CONCLUSION: The results of this meta-analysis suggest that NGAL in both serum and urine can be considered a valuable biomarker for early detection of DN in diabetes patients. © 2019 American Association for Clinical Chemistry.
URI
http://hdl.handle.net/11615/74305
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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