Preeclampsia prediction model using the dipstick test for proteinuria during early gestation

Hisashi Ohseto; Mami Ishikuro; Taku Obara; Keiko Murakami; Tomomi Onuma; Aoi Noda; Fumihiko Ueno; Noriyuki Iwama; Masahiro Kikuya; Hirohito Metoki; Junichi Sugawara; Shinichi Kuriyama

doi:10.14390/jsshp.HRP2022-002

Original Article

Preeclampsia prediction model using the dipstick test for proteinuria during early gestation

Hisashi Ohseto, Mami Ishikuro , Taku Obara, Keiko Murakami, Tomomi Onuma, Aoi Noda, Fumihiko Ueno, Noriyuki Iwama, Masahiro Kikuya, Hirohito Metoki, Junichi Sugawara, Shinichi Kuriyama

Author information

Hisashi Ohseto
Tohoku University Hospital, [Japan]
Mami Ishikuro Corresponding author
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Tohoku University Graduate School of Medicine, [Japan]
Taku Obara
Tohoku University Hospital, [Japan]
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Tohoku University Graduate School of Medicine, [Japan]
Keiko Murakami
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Tohoku University Graduate School of Medicine, [Japan]
Tomomi Onuma
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Tohoku University Graduate School of Medicine, [Japan]
Aoi Noda
Tohoku University Hospital, [Japan]
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Tohoku University Graduate School of Medicine, [Japan]
Fumihiko Ueno
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Tohoku University Graduate School of Medicine, [Japan]
Noriyuki Iwama
Tohoku University Hospital, [Japan]
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Masahiro Kikuya
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Teikyo University School of Medicine, [Japan]
Hirohito Metoki
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Faculty of Medicine, Tohoku Medical and Pharmaceutical University, [Japan]
Junichi Sugawara
Tohoku University Hospital, [Japan]
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Tohoku University Graduate School of Medicine, [Japan]
Shinichi Kuriyama
Tohoku Medical Megabank Organization, Tohoku University, [Japan]
Tohoku University Graduate School of Medicine, [Japan]
International Research Institute of Disaster Science, Tohoku University, [Japan]

Keywords: competing risks model, hypertensive disorders of pregnancy, prediction model, preeclampsia, proteinuria, The Tohoku Medical Megabank

JOURNAL OPEN ACCESS FULL-TEXT HTML

2022 Volume 10 Issue 3 Pages 88-96

DOI https://doi.org/10.14390/jsshp.HRP2022-002

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Abstract

Aim: This study aimed to develop a prediction model for preeclampsia (PE) using routinely examined items in early pregnancy, in particular, the dipstick test for proteinuria.

Methods: A total of 9,086 pregnant women recruited in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study were included in the present study for analysis. Maternal basic characteristics were obtained by self-report, and blood pressure and dipstick test data were obtained from medical records. The assessed outcome was PE, including superimposed PE. We developed a prediction model without the dipstick test for proteinuria (Model 1) and a model with it (Model 2), and compared the two based on mean area under the receiver operating characteristic curve (mAUROC) using five-fold cross validation.

Results: The mAUROC of Model 1 was 0.769 (95% CI: 0.741 to 0.797) and that of Model 2 was 0.785 (95% CI: 0.758 to 0.812). The difference in mAUROC between the two models was 0.016 (95% CI: 0.004 to 0.028). In Model 2, detection rates were 40%, 49%, and 64% at false-positive detection rates of 5%, 10%, and 20%, respectively.

Conclusions: We improved a prediction model for PE using routine antenatal care items by including the dipstick test for proteinuria.

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