The role of platelet parameters for the diagnosis of preeclampsia among pregnant women attending at the University of Gondar Comprehensive Specialized Hospital antenatal care unit, Gondar, Ethiopia.


Journal

Journal of clinical laboratory analysis
ISSN: 1098-2825
Titre abrégé: J Clin Lab Anal
Pays: United States
ID NLM: 8801384

Informations de publication

Date de publication:
Apr 2022
Historique:
revised: 22 01 2022
received: 27 11 2021
accepted: 12 02 2022
pubmed: 25 2 2022
medline: 13 4 2022
entrez: 24 2 2022
Statut: ppublish

Résumé

Preeclampsia (PE) is a pregnancy-related illness characterized by high blood pressure (BP) and proteinuria after the 20th gestational week (GW). Platelet (PLT) parameter changes are the common hematological abnormalities observed in PE patients. The main aim of this study was to assess the role of PLT parameters for PE diagnosis among pregnant women. A comparative cross-sectional study was conducted at the University of Gondar Specialized Hospital. A total of 126 pregnant women (63 normotensive [NT] and 63 PE) were recruited using a convenient sampling method. Three milliliter blood was collected from each participant, and PLT parameters were determined using Sysmex XS-500i analyzer. An independent t-test supplemented with receiver-operating characteristics (ROC) were used for comparisons and diagnostic value of PLT parameters between the study groups. Platelet count (PC) was significantly lower in the PE group compared to that in the NT group, whereas mean platelet volume (MPV), platelet large cell ratio (P-LCR), and platelet distribution width (PDW) were significantly higher in PE. MPV had the largest area under the curve (AUC) [0.91: 95% CI; 0.85-0.96] followed by PC [0.79: 95% CI; 0.72-0.87]. MPV can differentiate PE patients from NT pregnant women at cut-off value ≥12.10 fl (84.1% sensitivity and 87.3% specificity) while PC can indicate PE at a cut-off value ≤176.5 × 10 A decreased PC and an increased MPV, P-LCR, and PDW can be used as a simple, cost-effective, quick, and reliable method of PE screening. Of them, MPV is the best indicator of PE.

Sections du résumé

BACKGROUND BACKGROUND
Preeclampsia (PE) is a pregnancy-related illness characterized by high blood pressure (BP) and proteinuria after the 20th gestational week (GW). Platelet (PLT) parameter changes are the common hematological abnormalities observed in PE patients. The main aim of this study was to assess the role of PLT parameters for PE diagnosis among pregnant women.
METHODS METHODS
A comparative cross-sectional study was conducted at the University of Gondar Specialized Hospital. A total of 126 pregnant women (63 normotensive [NT] and 63 PE) were recruited using a convenient sampling method. Three milliliter blood was collected from each participant, and PLT parameters were determined using Sysmex XS-500i analyzer. An independent t-test supplemented with receiver-operating characteristics (ROC) were used for comparisons and diagnostic value of PLT parameters between the study groups.
RESULTS RESULTS
Platelet count (PC) was significantly lower in the PE group compared to that in the NT group, whereas mean platelet volume (MPV), platelet large cell ratio (P-LCR), and platelet distribution width (PDW) were significantly higher in PE. MPV had the largest area under the curve (AUC) [0.91: 95% CI; 0.85-0.96] followed by PC [0.79: 95% CI; 0.72-0.87]. MPV can differentiate PE patients from NT pregnant women at cut-off value ≥12.10 fl (84.1% sensitivity and 87.3% specificity) while PC can indicate PE at a cut-off value ≤176.5 × 10
CONCLUSION CONCLUSIONS
A decreased PC and an increased MPV, P-LCR, and PDW can be used as a simple, cost-effective, quick, and reliable method of PE screening. Of them, MPV is the best indicator of PE.

Identifiants

pubmed: 35202493
doi: 10.1002/jcla.24305
pmc: PMC8993625
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e24305

Informations de copyright

© 2022 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.

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Auteurs

Muluken Walle (M)

Department of Medical laboratory science, College of Medicine and Health Sciences, Jigjiga University, Jigjiga, Ethiopia.

Fikir Asrie (F)

Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Yemataw Gelaw (Y)

Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Zegeye Getaneh (Z)

Department of Hematology and Immunohematology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

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Classifications MeSH