| Literature DB >> 25628472 |
Aggeliki Kolialexi1, Dimitrios Gourgiotis2, George Daskalakis3, Antonis Marmarinos2, Alexandra Lykoudi1, Danai Mavreli1, Ariadni Mavrou1, Nikolas Papantoniou3.
Abstract
AIM: To examine the potential value of previously identified biomarkers using proteomics in early screening for preeclampsia (PE).Entities:
Mesh:
Substances:
Year: 2015 PMID: 25628472 PMCID: PMC4299787 DOI: 10.1155/2015/121848
Source DB: PubMed Journal: Dis Markers ISSN: 0278-0240 Impact factor: 3.434
Maternal and neonatal characteristics of cases and controls included in the study [17].
| Controls ( | PE ( | Statistics | |
|---|---|---|---|
| Maternal age (y) | 32.2 | 32.9 | NS |
| Prepregnancy BMI (kg/m2) | 24.8 | 27.9 |
|
| Cigarette smoker | 35 (73%) | 12 (50%) |
|
| Nulliparous | 29 (60.4%) | 22 (91.6%) |
|
| Parous | 19 (39.6%) | 2 (8.4%) | |
| Family history of PE | 0 | 0 | — |
| Conception | |||
| Spontaneous | 42 (87.5%) | 24 (100%) |
|
| IVF | 6 (12.5%) | 0 | |
| Medical history | |||
| Diabetes mellitus | 0 | 0 | — |
| Thrombophilia | 0 | 1 | |
| Mode of delivery | |||
| Vaginal birth ( | 33 (68.7%) | 8 (33.3%) |
|
| Caesarean delivery ( | 15 (31.3%) | 16 (66.6%) | |
| Gestational age at delivery (wk) | 40.2 | 38.1 | |
| <37 wk ( | 0 | 7 |
|
| <34 wk ( | 0 | 2 | |
| Birth weight (g) | 3410 | 2780 | |
| >10th percentile ( | 48 | 11 |
|
| <10th percentile ( | 0 | 11 | |
| <5th percentile ( | 0 | 2 |
Figure 1Box-plot of maternal prepregnancy BMI (a), Cystatin-C (b), VCAM-1 (c), and Pappalysin-A (d) in 24 pregnant women that subsequently developed PE and 48 uncomplicated pregnancies. The box represents the lower and upper quartiles, the medians are indicated by a line inside each box; the whiskers represent the 10th and 90th percentiles. Outliers, depicted as asterisks, are values more than 1.5 box lengths from either ridge of the box.
Figure 2Receiver-operating characteristics (ROC) curves showing the sensitivity and specificity of first-trimester Cystatin-C, VCAM-1, and Pappalysin-A as biomarkers for the prediction of women at risk of PE.
Figure 3Receiver-operating characteristics (ROC) curves showing the sensitivity and specificity of first-trimester testing using A. patients' clinical characteristics, B. biochemical markers, and C. clinical and biochemical variables simultaneously, for the prediction of women at risk of PE.