Pregled bibliografske jedinice broj: 456913
Optimal laboratory panel for predicting preeclampsia
Optimal laboratory panel for predicting preeclampsia // Journal of maternal-fetal & neonatal medicine, 23 (2010), 1; 96-102 doi:10.3109/14767050903156643 (međunarodna recenzija, članak, znanstveni)
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Naslov
Optimal laboratory panel for predicting preeclampsia
Autori
Delić, Ratko ; Štefanović, Mario
Izvornik
Journal of maternal-fetal & neonatal medicine (1476-7058) 23
(2010), 1;
96-102
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
preeclampsia
Sažetak
OBJECTIVE: This study was undertaken to investigate the usefulness of standard biochemical and hematological parameters measurement at third trimester of pregnancy for the individual prediction of preeclampsia. METHODS: A retrospective designed study included 113 patients with preeclampsia and a control group of 95 normal, uncomplicated pregnancies. Patients were recruited in the third trimester of pregnancy at the Department of Gynecology and Obstetrics, General Hospital Celje, Slovenia, EU. Erythrocytes, leukocytes, thrombocytes, hemoglobin, hematocrit, aspartate aminotransferase, alanine aminotransferase, gamma-glutamyl transferase, alkaline phosphatase, total bilirubin, urea, creatinine, uric acid, body mass index, parity, and age were evaluated to predict the occurrence of preeclampsia based on multivariate logistic regression model. RESULTS: When parameters such as uric acid and urea were included into logistic regression model, we correctly classified 79.6% patients. With additional four parameters (thrombocytes, hematocrit, aspartate aminotransferase and leukocytes) we correctly classified 83.8% patients with preeclampsia. CONCLUSION: Our findings confirmed that several standard biochemical and hematological parameters, when used as laboratory test panel have significant prognostic value in the prediction of preeclampsia.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
Citiraj ovu publikaciju:
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
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- MEDLINE
- Index medicus
- Pubmed