External validation of a simple risk score based on the ASPRE trial algorithm for preterm pre‐eclampsia considering maternal characteristics in nulliparous pregnant women: a multicentre retrospective cohort study. (29th April 2020)
- Record Type:
- Journal Article
- Title:
- External validation of a simple risk score based on the ASPRE trial algorithm for preterm pre‐eclampsia considering maternal characteristics in nulliparous pregnant women: a multicentre retrospective cohort study. (29th April 2020)
- Main Title:
- External validation of a simple risk score based on the ASPRE trial algorithm for preterm pre‐eclampsia considering maternal characteristics in nulliparous pregnant women: a multicentre retrospective cohort study
- Authors:
- Brunelli, E
Seidenari, A
Germano, C
Prefumo, F
Cavoretto, P
Di Martino, D
Masturzo, B
Morano, D
Rizzo, N
Farina, A - Abstract:
- Abstract : Objective: To validate the performance of a first‐trimester simple risk score based on the ASPRE trial algorithm for pre‐eclampsia. Design: Multicentre retrospective cohort analysis. Setting: Four Italian hospitals. Population: Unselected nulliparous women at 11–13 weeks of gestation from January 2014 through to January 2018. Methods: Model performance was evaluated based on discrimination and calibration. Main outcome measures: Delivery before 37 weeks of gestation with a diagnosis of pre‐eclampsia. Results: Based on 73 preterm pre‐eclampsia cases and 7546 controls (including 101 cases of late pre‐eclampsia), the area under the receiver operating characteristics curve was 0.659 (95% CI 0.579–0.726). The sensitivity was 32.9% (95% CI 22.1–43.7) at a false‐positive rate of 8.8%. The positive likelihood ratio was 3.74 (95% CI 2.67–5.23), the positive predictive value was 3.49% (95% CI 2.12–4.86%) and the negative predictive value was 99.3% (95% CI 99.1–99.5%). The sensitivity and positive likelihood ratio were approximately 40% lower than in the original study. The calibration analysis showed a good agreement between observed and expected risks ( P = 0.037). Comparison with the Fetal Medicine Foundation (FMF) algorithm yielded a difference in the area under the curve of 0.084 ( P = 0.007). Conclusions: In our Italian population, the simple risk score had a lower performance than expected for the prediction of preterm pre‐eclampsia in nulliparous women. The FMFAbstract : Objective: To validate the performance of a first‐trimester simple risk score based on the ASPRE trial algorithm for pre‐eclampsia. Design: Multicentre retrospective cohort analysis. Setting: Four Italian hospitals. Population: Unselected nulliparous women at 11–13 weeks of gestation from January 2014 through to January 2018. Methods: Model performance was evaluated based on discrimination and calibration. Main outcome measures: Delivery before 37 weeks of gestation with a diagnosis of pre‐eclampsia. Results: Based on 73 preterm pre‐eclampsia cases and 7546 controls (including 101 cases of late pre‐eclampsia), the area under the receiver operating characteristics curve was 0.659 (95% CI 0.579–0.726). The sensitivity was 32.9% (95% CI 22.1–43.7) at a false‐positive rate of 8.8%. The positive likelihood ratio was 3.74 (95% CI 2.67–5.23), the positive predictive value was 3.49% (95% CI 2.12–4.86%) and the negative predictive value was 99.3% (95% CI 99.1–99.5%). The sensitivity and positive likelihood ratio were approximately 40% lower than in the original study. The calibration analysis showed a good agreement between observed and expected risks ( P = 0.037). Comparison with the Fetal Medicine Foundation (FMF) algorithm yielded a difference in the area under the curve of 0.084 ( P = 0.007). Conclusions: In our Italian population, the simple risk score had a lower performance than expected for the prediction of preterm pre‐eclampsia in nulliparous women. The FMF algorithm applied to the same data set resulted in a better prediction. Tweetable abstract: Simple risk score predicts preterm pre‐eclampsia in Italy. Tweetable abstract: Simple risk score predicts preterm pre‐eclampsia in Italy. … (more)
- Is Part Of:
- BJOG. Volume 127:Number 10(2020)
- Journal:
- BJOG
- Issue:
- Volume 127:Number 10(2020)
- Issue Display:
- Volume 127, Issue 10 (2020)
- Year:
- 2020
- Volume:
- 127
- Issue:
- 10
- Issue Sort Value:
- 2020-0127-0010-0000
- Page Start:
- 1210
- Page End:
- 1215
- Publication Date:
- 2020-04-29
- Subjects:
- algorithm -- aspirin -- first‐trimester -- multivariable analysis -- prediction -- pre‐eclampsia -- screening
Obstetrics -- Periodicals
Gynecology -- Periodicals
618 - Journal URLs:
- http://www.blackwellpublishing.com/journal.asp?ref=1470-0328&site=1 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/1471-0528.16246 ↗
- Languages:
- English
- ISSNs:
- 1470-0328
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2105.748000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 19149.xml