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Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome
AIM: To rule out maternal and pregnancy factors that may contribute to platelet count (PLT) changes in the first trimester of gestation and examine if there is any association between its levels and adverse perinatal outcome. METHODS: The study population included all patients from the first-trimest...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
ID Design 2012/DOOEL Skopje
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320903/ https://www.ncbi.nlm.nih.gov/pubmed/28293312 http://dx.doi.org/10.3889/oamjms.2017.013 |
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author | Larroca, Santiago Garcia-Tizon Arevalo-Serrano, Juan Abad, Virginia Ortega Recarte, Pilar Pintado Carreras, Alejandro Garcia Pastor, Gonzalo Nozaleda Hernandez, Cesar Rodriguez Pacheco, Ricardo Perez Fernandez Luis, Juan De Leon |
author_facet | Larroca, Santiago Garcia-Tizon Arevalo-Serrano, Juan Abad, Virginia Ortega Recarte, Pilar Pintado Carreras, Alejandro Garcia Pastor, Gonzalo Nozaleda Hernandez, Cesar Rodriguez Pacheco, Ricardo Perez Fernandez Luis, Juan De Leon |
author_sort | Larroca, Santiago Garcia-Tizon |
collection | PubMed |
description | AIM: To rule out maternal and pregnancy factors that may contribute to platelet count (PLT) changes in the first trimester of gestation and examine if there is any association between its levels and adverse perinatal outcome. METHODS: The study population included all patients from the first-trimester visit between 2013-2015 with pregnancy results. Linear multiple regression was constructed to rule out variables that may have a significant contribution to PLT. For each adverse outcome at birth, multiple logistic regression analysis was implemented to estimate the PLT effect. RESULTS: PLT was measured in 6092 patients. There was the significant contribution on PLT in the first trimester from maternal weight, the presence of rheumatologic disease, BHCG levels and MPV. There was a significant association between PLT and abnormal cardiotocography at delivery (OR 1.004; IC95% 1.001 to 1.007) and C-Section due to abnormal CTG (OR 1.005; IC95% 1.002 to 1.008). When adjusted for factors that interact with PLT there was also a significant association with pH at birth < 7.10 and gestational diabetes. CONCLUSIONS: Maternal and pregnancy factors can poorly predict relevant changes in PLT at the first trimester of gestation. PLT at first trimester of pregnancy might predict adverse perinatal outcome in combination with other markers. |
format | Online Article Text |
id | pubmed-5320903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | ID Design 2012/DOOEL Skopje |
record_format | MEDLINE/PubMed |
spelling | pubmed-53209032017-03-15 Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome Larroca, Santiago Garcia-Tizon Arevalo-Serrano, Juan Abad, Virginia Ortega Recarte, Pilar Pintado Carreras, Alejandro Garcia Pastor, Gonzalo Nozaleda Hernandez, Cesar Rodriguez Pacheco, Ricardo Perez Fernandez Luis, Juan De Leon Open Access Maced J Med Sci Clinical Science AIM: To rule out maternal and pregnancy factors that may contribute to platelet count (PLT) changes in the first trimester of gestation and examine if there is any association between its levels and adverse perinatal outcome. METHODS: The study population included all patients from the first-trimester visit between 2013-2015 with pregnancy results. Linear multiple regression was constructed to rule out variables that may have a significant contribution to PLT. For each adverse outcome at birth, multiple logistic regression analysis was implemented to estimate the PLT effect. RESULTS: PLT was measured in 6092 patients. There was the significant contribution on PLT in the first trimester from maternal weight, the presence of rheumatologic disease, BHCG levels and MPV. There was a significant association between PLT and abnormal cardiotocography at delivery (OR 1.004; IC95% 1.001 to 1.007) and C-Section due to abnormal CTG (OR 1.005; IC95% 1.002 to 1.008). When adjusted for factors that interact with PLT there was also a significant association with pH at birth < 7.10 and gestational diabetes. CONCLUSIONS: Maternal and pregnancy factors can poorly predict relevant changes in PLT at the first trimester of gestation. PLT at first trimester of pregnancy might predict adverse perinatal outcome in combination with other markers. ID Design 2012/DOOEL Skopje 2017-02-01 /pmc/articles/PMC5320903/ /pubmed/28293312 http://dx.doi.org/10.3889/oamjms.2017.013 Text en Copyright: © 2017 Santiago Garcia-Tizon Larroca, Juan Arevalo-Serrano, Virginia Ortega Abad, Pilar Pintado Recarte, Alejandro Garcia Carreras, Gonzalo Nozaleda Pastor, Cesar Rodriguez Hernandez, Ricardo Perez Fernandez Pacheco, Juan De Leon Luis. http://creativecommons.org/licenses/CC BY-NC/4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). |
spellingShingle | Clinical Science Larroca, Santiago Garcia-Tizon Arevalo-Serrano, Juan Abad, Virginia Ortega Recarte, Pilar Pintado Carreras, Alejandro Garcia Pastor, Gonzalo Nozaleda Hernandez, Cesar Rodriguez Pacheco, Ricardo Perez Fernandez Luis, Juan De Leon Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome |
title | Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome |
title_full | Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome |
title_fullStr | Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome |
title_full_unstemmed | Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome |
title_short | Platelet Count in First Trimester of Pregnancy as a Predictor of Perinatal Outcome |
title_sort | platelet count in first trimester of pregnancy as a predictor of perinatal outcome |
topic | Clinical Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320903/ https://www.ncbi.nlm.nih.gov/pubmed/28293312 http://dx.doi.org/10.3889/oamjms.2017.013 |
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