Cargando…

Biomarkers for Pregnancy Latency Prediction after Preterm Premature Rupture of Membranes–A Systematic Review

Preterm premature rupture of membranes, leading to preterm birth, is associated with neonatal and maternal morbidity and mortality. The study aimed to review the existing data on the best predictive value of pregnancy latency for known biomarkers in pregnancies after preterm premature rupture of mem...

Descripción completa

Detalles Bibliográficos
Autores principales: Feduniw, Stepan, Pruc, Michal, Ciebiera, Michal, Zeber-Lubecka, Natalia, Massalska, Diana, Zgliczynska, Magdalena, Pawlowska, Agnieszka, Szarpak, Lukasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178250/
https://www.ncbi.nlm.nih.gov/pubmed/37175733
http://dx.doi.org/10.3390/ijms24098027
_version_ 1785040817050615808
author Feduniw, Stepan
Pruc, Michal
Ciebiera, Michal
Zeber-Lubecka, Natalia
Massalska, Diana
Zgliczynska, Magdalena
Pawlowska, Agnieszka
Szarpak, Lukasz
author_facet Feduniw, Stepan
Pruc, Michal
Ciebiera, Michal
Zeber-Lubecka, Natalia
Massalska, Diana
Zgliczynska, Magdalena
Pawlowska, Agnieszka
Szarpak, Lukasz
author_sort Feduniw, Stepan
collection PubMed
description Preterm premature rupture of membranes, leading to preterm birth, is associated with neonatal and maternal morbidity and mortality. The study aimed to review the existing data on the best predictive value of pregnancy latency for known biomarkers in pregnancies after preterm premature rupture of membranes. The following databases were screened for the purposes of this systematic review: Pubmed/MEDLINE, Web of Science, EMBASE, Scopus, and the Cochrane Library. The study was conducted according to the PRISMA guidelines for systematic reviews. Only a few studies assessed biomarkers predicting pregnancy duration after PPROM. IL-6, IL-8, CRP, IL1RA, s-endoglin, βhCG, AFP, PCT, urea, creatinine, oxygen radical absorbance capacity, MDA, lipocalin-2, endotoxin activity, MMP-8, MMP-9 and S100 A8/A9 were found to have a positive predictive value for delivery timing prediction. Proinflammatory biomarkers, such as IL-6 or CRP, proved to be best correlated with delivery timing, independent of the occurrence of intrauterine infection.
format Online
Article
Text
id pubmed-10178250
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-101782502023-05-13 Biomarkers for Pregnancy Latency Prediction after Preterm Premature Rupture of Membranes–A Systematic Review Feduniw, Stepan Pruc, Michal Ciebiera, Michal Zeber-Lubecka, Natalia Massalska, Diana Zgliczynska, Magdalena Pawlowska, Agnieszka Szarpak, Lukasz Int J Mol Sci Review Preterm premature rupture of membranes, leading to preterm birth, is associated with neonatal and maternal morbidity and mortality. The study aimed to review the existing data on the best predictive value of pregnancy latency for known biomarkers in pregnancies after preterm premature rupture of membranes. The following databases were screened for the purposes of this systematic review: Pubmed/MEDLINE, Web of Science, EMBASE, Scopus, and the Cochrane Library. The study was conducted according to the PRISMA guidelines for systematic reviews. Only a few studies assessed biomarkers predicting pregnancy duration after PPROM. IL-6, IL-8, CRP, IL1RA, s-endoglin, βhCG, AFP, PCT, urea, creatinine, oxygen radical absorbance capacity, MDA, lipocalin-2, endotoxin activity, MMP-8, MMP-9 and S100 A8/A9 were found to have a positive predictive value for delivery timing prediction. Proinflammatory biomarkers, such as IL-6 or CRP, proved to be best correlated with delivery timing, independent of the occurrence of intrauterine infection. MDPI 2023-04-28 /pmc/articles/PMC10178250/ /pubmed/37175733 http://dx.doi.org/10.3390/ijms24098027 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Feduniw, Stepan
Pruc, Michal
Ciebiera, Michal
Zeber-Lubecka, Natalia
Massalska, Diana
Zgliczynska, Magdalena
Pawlowska, Agnieszka
Szarpak, Lukasz
Biomarkers for Pregnancy Latency Prediction after Preterm Premature Rupture of Membranes–A Systematic Review
title Biomarkers for Pregnancy Latency Prediction after Preterm Premature Rupture of Membranes–A Systematic Review
title_full Biomarkers for Pregnancy Latency Prediction after Preterm Premature Rupture of Membranes–A Systematic Review
title_fullStr Biomarkers for Pregnancy Latency Prediction after Preterm Premature Rupture of Membranes–A Systematic Review
title_full_unstemmed Biomarkers for Pregnancy Latency Prediction after Preterm Premature Rupture of Membranes–A Systematic Review
title_short Biomarkers for Pregnancy Latency Prediction after Preterm Premature Rupture of Membranes–A Systematic Review
title_sort biomarkers for pregnancy latency prediction after preterm premature rupture of membranes–a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178250/
https://www.ncbi.nlm.nih.gov/pubmed/37175733
http://dx.doi.org/10.3390/ijms24098027
work_keys_str_mv AT feduniwstepan biomarkersforpregnancylatencypredictionafterpretermprematureruptureofmembranesasystematicreview
AT prucmichal biomarkersforpregnancylatencypredictionafterpretermprematureruptureofmembranesasystematicreview
AT ciebieramichal biomarkersforpregnancylatencypredictionafterpretermprematureruptureofmembranesasystematicreview
AT zeberlubeckanatalia biomarkersforpregnancylatencypredictionafterpretermprematureruptureofmembranesasystematicreview
AT massalskadiana biomarkersforpregnancylatencypredictionafterpretermprematureruptureofmembranesasystematicreview
AT zgliczynskamagdalena biomarkersforpregnancylatencypredictionafterpretermprematureruptureofmembranesasystematicreview
AT pawlowskaagnieszka biomarkersforpregnancylatencypredictionafterpretermprematureruptureofmembranesasystematicreview
AT szarpaklukasz biomarkersforpregnancylatencypredictionafterpretermprematureruptureofmembranesasystematicreview