Comparison of CRP and ALK-P serum levels in prediction of preterm delivery

(2016) Comparison of CRP and ALK-P serum levels in prediction of preterm delivery. Advanced biomedical research. p. 17. ISSN 2277-9175 (Print) 2277-9175 (Linking)

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Abstract

BACKGROUND: Preterm birth, defined as birth occurring before 37 weeks of gestation, is a common complication of pregnancy and may lead to death or long-term disability in newborns. Accurate diagnosis is, therefore, crucial for identifying those women undergoing preterm labor who are at greatest risk of preterm delivery. This may allow transport to a regional obstetrical center and permit time for corticosteroid therapy. Recent study recommends several markers such as CRP (C-reactive protein) and ALK-P (alkaline phosphatase) to predict preterm delivery. MATERIALS AND METHODS: We select a total of 300 pregnant women that had symptoms of premature birth. All of them were under treatment with tocolytic and serum sample were taken to assess the level of CRP-ALKp. Cervix length and the time of response to tocolytic were measured. 110 pregnant of them had preterm labor. 110 patient that had a term labor selected as a control group. RESULTS: Qualitative evaluation of efficacy CRP level on preterm delivery showed a significant relationship with 27 as a cut of point of CRP (P < 0.00001 -OR = 7.5). Investigate of effect of ALK-P level on preterm delivery refers to a significant relationship with 399 as a cut of point of ALKP (P < 0.00001 -OR = 5). Inquire of efficacy of CRP level and ALK-P level on preterm delivery demonstrate a significant relationship (P < 0.0001 1OR = 9). CONCLUSIONS: Maternal concentrations of CRP and ALKP and cervix length can be used as appropriate biomarker for predicting preterm labor and response to tocolytic therapy in pregnant women.

Item Type: Article
Keywords: Alk-p C-reactive protein Iran cervix length preterm labor
Page Range: p. 17
Journal or Publication Title: Advanced biomedical research
Journal Index: Pubmed
Volume: 5
Identification Number: https://doi.org/10.4103/2277-9175.175903
ISSN: 2277-9175 (Print) 2277-9175 (Linking)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/3842

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