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Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study

BACKGROUND: Platelet parameters during pregnancy were associated with the risk of preeclampsia (PE), but the predictive value of these parameters for PE remained unclear. Our aim was to clarify the individual and incremental predictive value of platelet parameters, including platelet count (PC), mea...

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Autores principales: Lin, Shan-Shan, Wang, Cheng-Rui, Wei, Dong-Mei, Lu, Jin-Hua, Chen, Xiao-Juan, Chen, Qiao-Zhu, Xia, Xiao-Yan, He, Jian-Rong, Qiu, Xiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214644/
https://www.ncbi.nlm.nih.gov/pubmed/37237335
http://dx.doi.org/10.1186/s12884-023-05661-y
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author Lin, Shan-Shan
Wang, Cheng-Rui
Wei, Dong-Mei
Lu, Jin-Hua
Chen, Xiao-Juan
Chen, Qiao-Zhu
Xia, Xiao-Yan
He, Jian-Rong
Qiu, Xiu
author_facet Lin, Shan-Shan
Wang, Cheng-Rui
Wei, Dong-Mei
Lu, Jin-Hua
Chen, Xiao-Juan
Chen, Qiao-Zhu
Xia, Xiao-Yan
He, Jian-Rong
Qiu, Xiu
author_sort Lin, Shan-Shan
collection PubMed
description BACKGROUND: Platelet parameters during pregnancy were associated with the risk of preeclampsia (PE), but the predictive value of these parameters for PE remained unclear. Our aim was to clarify the individual and incremental predictive value of platelet parameters, including platelet count (PC), mean platelet volume (MPV), plateletcrit (PCT), and platelet distribution width (PDW) for PE. METHODS: This study was based on the Born in Guangzhou Cohort Study in China. Data on platelet parameters were extracted from medical records of routine prenatal examinations. Receiver operating characteristic (ROC) curve was performed to analyze the predictive ability of platelet parameters for PE. Maternal characteristic factors proposed by NICE and ACOG were used to develop the base model. Detection rate (DR), integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI) were calculated compared with the base model to assess the incremental predictive value of platelet parameters. RESULTS: A total of 30,401 pregnancies were included in this study, of which 376 (1.24%) were diagnosed with PE. Higher levels of PC and PCT were observed at 12–19 gestational weeks in women who developed PE later. However, no platelet parameters before 20 weeks of gestation reliably distinguished between PE complicated pregnancy and non-PE complicated pregnancy, with all values of the areas under the ROC curves (AUC) below 0.70. The addition of platelet parameters at 16–19 gestational weeks to the base model increased the DR for preterm PE from 22.9 to 31.4% at a fixed false positive rate of 5%, improved the AUC from 0.775 to 0.849 (p = 0.015), and yielded a NRI of 0.793 (p < 0.001), and an IDI of 0.0069 (p = 0.035). Less but significant improvement in prediction performance was also observed for term PE and total PE when all the four platelet parameters were added to the base model. CONCLUSIONS: Although no single platelet parameter at the early stage of pregnancy identified PE with high accuracy, the addition of platelet parameters to known independent risk factors could improve the prediction of PE. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05661-y.
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spelling pubmed-102146442023-05-27 Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study Lin, Shan-Shan Wang, Cheng-Rui Wei, Dong-Mei Lu, Jin-Hua Chen, Xiao-Juan Chen, Qiao-Zhu Xia, Xiao-Yan He, Jian-Rong Qiu, Xiu BMC Pregnancy Childbirth Research BACKGROUND: Platelet parameters during pregnancy were associated with the risk of preeclampsia (PE), but the predictive value of these parameters for PE remained unclear. Our aim was to clarify the individual and incremental predictive value of platelet parameters, including platelet count (PC), mean platelet volume (MPV), plateletcrit (PCT), and platelet distribution width (PDW) for PE. METHODS: This study was based on the Born in Guangzhou Cohort Study in China. Data on platelet parameters were extracted from medical records of routine prenatal examinations. Receiver operating characteristic (ROC) curve was performed to analyze the predictive ability of platelet parameters for PE. Maternal characteristic factors proposed by NICE and ACOG were used to develop the base model. Detection rate (DR), integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI) were calculated compared with the base model to assess the incremental predictive value of platelet parameters. RESULTS: A total of 30,401 pregnancies were included in this study, of which 376 (1.24%) were diagnosed with PE. Higher levels of PC and PCT were observed at 12–19 gestational weeks in women who developed PE later. However, no platelet parameters before 20 weeks of gestation reliably distinguished between PE complicated pregnancy and non-PE complicated pregnancy, with all values of the areas under the ROC curves (AUC) below 0.70. The addition of platelet parameters at 16–19 gestational weeks to the base model increased the DR for preterm PE from 22.9 to 31.4% at a fixed false positive rate of 5%, improved the AUC from 0.775 to 0.849 (p = 0.015), and yielded a NRI of 0.793 (p < 0.001), and an IDI of 0.0069 (p = 0.035). Less but significant improvement in prediction performance was also observed for term PE and total PE when all the four platelet parameters were added to the base model. CONCLUSIONS: Although no single platelet parameter at the early stage of pregnancy identified PE with high accuracy, the addition of platelet parameters to known independent risk factors could improve the prediction of PE. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05661-y. BioMed Central 2023-05-26 /pmc/articles/PMC10214644/ /pubmed/37237335 http://dx.doi.org/10.1186/s12884-023-05661-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lin, Shan-Shan
Wang, Cheng-Rui
Wei, Dong-Mei
Lu, Jin-Hua
Chen, Xiao-Juan
Chen, Qiao-Zhu
Xia, Xiao-Yan
He, Jian-Rong
Qiu, Xiu
Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study
title Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study
title_full Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study
title_fullStr Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study
title_full_unstemmed Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study
title_short Incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study
title_sort incremental predictive value of platelet parameters for preeclampsia: results from a large prospective cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214644/
https://www.ncbi.nlm.nih.gov/pubmed/37237335
http://dx.doi.org/10.1186/s12884-023-05661-y
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