Literature DB >> 28422358

Is mean platelet volume a better biomarker in pre-eclampsia?

Gustavo Vilchez1, Moraima Lagos2, Komal Kumar3, Pedro Argoti4.   

Abstract

AIM: Platelet activation and destruction is a well recognized feature of pre-eclampsia, but the current literature is contradictory regarding the role of mean platelet volume (MPV) in the diagnosis of this condition. We investigated whether MPV, compared with other routine laboratory markers such as platelet count, is a more significant biomarker of pre-eclampsia, giving special attention to the intrapartum period.
METHODS: Biochemical and hematological markers along pregnancy including MPV were compared retrospectively between pre-eclampsia and matched controls. Laboratory marker data were compared using independent t-test. A logistic regression model was used to compare the strength of the associations of MPV and other routine markers such as platelet count with pre-eclampsia. Receiver operating characteristic curves were plotted.
RESULTS: There were a total of 150 cases of pre-eclampsia and 297 controls. In the pre-eclampsia group, there were 60 cases of mild pre-eclampsia (40.0%); 84, severe (56.0%); and six of eclampsia (4.0%). MPV was significantly higher in the pre-eclampsia than in the control group (11.3 ± 1.0 vs 10.1 ± 0.8 fL, P = 0.002). On multivariate analysis, MPV was the only statistically significant biomarker of pre-eclampsia (OR, 4.5; 95%CI: 1.5-13.7), and severe pre-eclampsia (OR, 6.2; 95%CI: 1.6-24.6); performing superiorly to platelet count.
CONCLUSIONS: Mean platelet volume is a more significant biomarker of pre-eclampsia. It is more significantly associated with this condition than other routinely measured laboratory markers such as platelet count. MPV is routinely obtained on complete blood cell count and its utilization in the assessment of pre-eclampsia in a clinical setting should continue to be evaluated.
© 2017 Japan Society of Obstetrics and Gynecology.

Entities:  

Keywords:  biomarker; mean platelet volume; platelet count; pre-eclampsia; pregnancy-induced hypertension

Mesh:

Substances:

Year:  2017        PMID: 28422358     DOI: 10.1111/jog.13312

Source DB:  PubMed          Journal:  J Obstet Gynaecol Res        ISSN: 1341-8076            Impact factor:   1.730


  5 in total

1.  Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data.

Authors:  Shilong Li; Zichen Wang; Luciana A Vieira; Amanda B Zheutlin; Boshu Ru; Emilio Schadt; Pei Wang; Alan B Copperman; Joanne L Stone; Susan J Gross; Yu-Han Kao; Yan Kwan Lau; Siobhan M Dolan; Eric E Schadt; Li Li
Journal:  NPJ Digit Med       Date:  2022-06-06

2.  Establishment of a nomogram model for predicting adverse outcomes in advanced-age pregnant women with preterm preeclampsia.

Authors:  Bohan Lv; Yan Zhang; Guanghui Yuan; Ruting Gu; Jingyuan Wang; Yujiao Zou; Lili Wei
Journal:  BMC Pregnancy Childbirth       Date:  2022-03-19       Impact factor: 3.007

3.  Preeclampsia has an association with both platelet count and mean platelet volume: A systematic review and meta-analysis.

Authors:  Muluken Walle; Yemataw Gelaw; Fasil Getu; Fikir Asrie; Zegeye Getaneh
Journal:  PLoS One       Date:  2022-09-14       Impact factor: 3.752

4.  Systemic inflammatory response markers in preeclampsia.

Authors:  Ersin Çintesun; Feyza Nur Incesu Çintesun; Huriye Ezveci; Fikret Akyürek; Çetin Çelik
Journal:  J Lab Physicians       Date:  2018 Jul-Sep

5.  Can Platelet Count and Mean Platelet Volume be Used as Markers of Postdural Puncture Headache in Obstetric Patients?

Authors:  Osman Uzundere; Cem Kıvılcım Kaçar; Sedat Kaya
Journal:  Pain Res Manag       Date:  2020-08-07       Impact factor: 3.037

  5 in total

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