2022
DOI: 10.4274/tjod.galenos.2022.94884
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Elevated serum YKL-40 levels as a diagnostic and prognostic marker in the placenta accreta spectrum

Abstract: Objective: Placenta accreta spectrum (PAS) is an important problem with increasing cesarean section (CS) rates recently. There is still no serum marker for the diagnosis. We determined whether serum YKL-40 levels can be used in the diagnosis and prognosis of PAS. Materials and Methods: The study was conducted with 50 patients with a PAS diagnosis, 27 individuals without PAS, and 33 normal pregnant women. The operations (CS + placental bed suture, CS + excision of the lo… Show more

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Cited by 2 publications
(1 citation statement)
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“…[40] (3) Serum biomarkers: Researchers from Turkey discovered that elevated serum YKL-40 level was correlated with diagnosis and severity of PAS. [41] To date, PAS-associated predictive biomarkers comprise alpha-fetoprotein (AFP), human chorionic gonadotropin (hCG), pregnancyassociated plasma protein A (PAPP-A), cell-free fetal DNA (cffDNA), angiogenic-related factors including placental growth factor (PLGF), vascular endothelial growth factor (VEGF) and soluble fms-like tyrosine kinase-1 (sFlt-1), placenta-specific mRNA, microRNA, NanoVelcro chips etc. The existing research is not clear yet on how to predict PAS severity through these biomarkers and not applicable in clinical practice.…”
Section: Predict Risk Of Pasmentioning
confidence: 99%
“…[40] (3) Serum biomarkers: Researchers from Turkey discovered that elevated serum YKL-40 level was correlated with diagnosis and severity of PAS. [41] To date, PAS-associated predictive biomarkers comprise alpha-fetoprotein (AFP), human chorionic gonadotropin (hCG), pregnancyassociated plasma protein A (PAPP-A), cell-free fetal DNA (cffDNA), angiogenic-related factors including placental growth factor (PLGF), vascular endothelial growth factor (VEGF) and soluble fms-like tyrosine kinase-1 (sFlt-1), placenta-specific mRNA, microRNA, NanoVelcro chips etc. The existing research is not clear yet on how to predict PAS severity through these biomarkers and not applicable in clinical practice.…”
Section: Predict Risk Of Pasmentioning
confidence: 99%