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Pregled bibliografske jedinice broj: 691118

Statistical regression model of standard and new laboratory markers and its usefulness in prediction of preeclampsia


Delić, Ratko; Štefanović, Mario; Krivec, Štefka; Weber, Vladimir
Statistical regression model of standard and new laboratory markers and its usefulness in prediction of preeclampsia // Journal of maternal-fetal & neonatal medicine, 27 (2014), 4; 388-392 doi:10.3109/14767058.2013.818121 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 691118 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Statistical regression model of standard and new laboratory markers and its usefulness in prediction of preeclampsia

Autori
Delić, Ratko ; Štefanović, Mario ; Krivec, Štefka ; Weber, Vladimir

Izvornik
Journal of maternal-fetal & neonatal medicine (1476-7058) 27 (2014), 4; 388-392

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Angiogenic markers; laboratory panel; prediction; preeclampsia; urates

Sažetak
Objective: This study was undertaken to investigate the usefulness of angiogenic markers and standard laboratory parameters measurement after 20th week of pregnancy for the individual prediction of preeclampsia (PE). Methods: A prospective designed study included 34 patients with PE and a control group of 35 uncomplicated pregnancies. Patients were recruited from 20th until 41st week of pregnancy at the Department of Obstetrics and Gynecology, General Hospital Celje, Slovenia. PlGF (placental growth factor), sFlt-1 (soluble fms-like tyrosine kinase 1), erythrocytes, leukocytes, platelets, hemoglobin, hematocrit, lactate dehydrogenase, aspartate aminotransferase, alanine aminotransferase, γ-glutamyl transferase, alkaline phosphatase, total bilirubin, urea, creatinine, urate, body mass index, body surface area, parity, and age were evaluated to predict the occurrence of PE based on multivariate logistic regression model. Results: When parameters such as PlGF, sFlt-1, and urates were included into logistic regression model, we correctly classified 85% patients. With additional two models which also contained anthropometric parameters, we correctly classified 88% and 91% patients, respectively. Conclusion: Our results demonstrated that angiogenic markers and urates individually and particularly when used as laboratory test panel have significant prognostic value in the prediction of PE.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Kliničke medicinske znanosti, Javno zdravstvo i zdravstvena zaštita



POVEZANOST RADA


Ustanove:
KBC "Sestre Milosrdnice"

Profili:

Avatar Url Mario Štefanović (autor)

Citiraj ovu publikaciju

Delić, Ratko; Štefanović, Mario; Krivec, Štefka; Weber, Vladimir
Statistical regression model of standard and new laboratory markers and its usefulness in prediction of preeclampsia // Journal of maternal-fetal & neonatal medicine, 27 (2014), 4; 388-392 doi:10.3109/14767058.2013.818121 (međunarodna recenzija, članak, znanstveni)
Delić, R., Štefanović, M., Krivec, Š. & Weber, V. (2014) Statistical regression model of standard and new laboratory markers and its usefulness in prediction of preeclampsia. Journal of maternal-fetal & neonatal medicine, 27 (4), 388-392 doi:10.3109/14767058.2013.818121.
@article{article, year = {2014}, pages = {388-392}, DOI = {10.3109/14767058.2013.818121}, keywords = {Angiogenic markers, laboratory panel, prediction, preeclampsia, urates}, journal = {Journal of maternal-fetal and neonatal medicine}, doi = {10.3109/14767058.2013.818121}, volume = {27}, number = {4}, issn = {1476-7058}, title = {Statistical regression model of standard and new laboratory markers and its usefulness in prediction of preeclampsia}, keyword = {Angiogenic markers, laboratory panel, prediction, preeclampsia, urates} }
@article{article, year = {2014}, pages = {388-392}, DOI = {10.3109/14767058.2013.818121}, keywords = {Angiogenic markers, laboratory panel, prediction, preeclampsia, urates}, journal = {Journal of maternal-fetal and neonatal medicine}, doi = {10.3109/14767058.2013.818121}, volume = {27}, number = {4}, issn = {1476-7058}, title = {Statistical regression model of standard and new laboratory markers and its usefulness in prediction of preeclampsia}, keyword = {Angiogenic markers, laboratory panel, prediction, preeclampsia, urates} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka:


  • MEDLINE


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