Literature DB >> 33956365

Evidence of under-reporting of early-onset preeclampsia using register data.

Julia F Simard1,2,3, Marios Rossides3, Anna-Karin Wikström3,4, Titilola Falasinnu1, Kristin Palmsten5, Elizabeth V Arkema3.   

Abstract

BACKGROUND: Early-onset preeclampsia, traditionally defined as presenting before 34 gestational weeks, is associated with even higher risks of perinatal death, placental abruption, and stroke, than late-onset preeclampsia.
OBJECTIVE: We estimated the degree of misclassification in a high-risk population of lupus pregnancies and a general population comparator when gestational age at delivery defined preeclampsia phenotype compared to first preeclampsia diagnosis.
METHODS: Patients with lupus and general population comparators from Sweden with ≥1 singleton pregnancy in the Medical Birth Register with a documented ICD code for preeclampsia were included (2002-2016). We used gestational age at delivery (<34 versus ≥34 weeks) to phenotype preeclampsia early- versus late-onset and then reclassified based on first preeclampsia diagnosis date in the Patient Register. We cross-tabulated the two definitions and calculated sensitivity using the visit-based definition as the reference standard for general population and lupus pregnancies, overall and among nulliparous women.
RESULTS: 331 pregnancies were diagnosed with preeclampsia, of which 322 were in both registers. Of those, 58 were early-onset based on gestational age at delivery (n = 29 in lupus pregnancies). Overall, 9% of early-onset preeclampsia in lupus (sensitivity 91%, 95% confidence interval [CI] 75, 98) was misclassified as late-onset compared to 19% in the general population (sensitivity 81%, 95% CI 64, 92). We noted similar misclassification (4% vs 22%) among nulliparous women.
CONCLUSIONS: In the general population, early-onset preeclampsia was more likely misclassified as late-onset than in the high-risk lupus population. Relying on gestational age at delivery to phenotype preeclampsia, this way underestimates the occurrence of early-onset preeclampsia. This also suggests that the burden of early-onset preeclampsia as a public health concern may be under-reported, although this may be more applicable to milder preeclampsia where expectant management is employed. Research of biological and maternal predictors of early-onset preeclampsia may be dealing with differentially misclassified outcomes or samples.
© 2021 The Authors. Paediatric and Perinatal Epidemiology published by John Wiley & Sons Ltd.

Entities:  

Keywords:  early-onset preeclampsia; misclassification; preeclampsia; registers

Mesh:

Year:  2021        PMID: 33956365      PMCID: PMC8765082          DOI: 10.1111/ppe.12759

Source DB:  PubMed          Journal:  Paediatr Perinat Epidemiol        ISSN: 0269-5022            Impact factor:   3.103


  10 in total

1.  Risk of early or severe pre-eclampsia related to pre-existing conditions.

Authors:  Janet M Catov; Roberta B Ness; Kevin E Kip; Jorn Olsen
Journal:  Int J Epidemiol       Date:  2007-01-25       Impact factor: 7.196

2.  Incidence of preeclampsia: risk factors and outcomes associated with early- versus late-onset disease.

Authors:  Sarka Lisonkova; K S Joseph
Journal:  Am J Obstet Gynecol       Date:  2013-08-22       Impact factor: 8.661

3.  Impact of early- and late-onset preeclampsia on features of placental and newborn vascular health.

Authors:  Emilie M Herzog; Alex J Eggink; Anniek Reijnierse; Martina A M Kerkhof; Ronald R de Krijger; Anton J M Roks; Irwin K M Reiss; Alex L Nigg; Paul H C Eilers; Eric A P Steegers; Régine P M Steegers-Theunissen
Journal:  Placenta       Date:  2016-11-27       Impact factor: 3.481

4.  Population-based biomarker screening and the development of severe preeclampsia in California.

Authors:  Véronique Taché; Rebecca J Baer; Robert J Currier; Chin-Shang Li; Dena Towner; L Elaine Waetjen; Laura L Jelliffe-Pawlowski
Journal:  Am J Obstet Gynecol       Date:  2014-03-14       Impact factor: 8.661

5.  Global DNA methylation in placental tissues from pregnant with preeclampsia: A systematic review and pathway analysis.

Authors:  Juliana de O Cruz; Izabela M C A Conceição; Jéssica A G Tosatti; Karina B Gomes; Marcelo R Luizon
Journal:  Placenta       Date:  2020-09-07       Impact factor: 3.481

6.  Introduction to ISSHP new classification of preeclampsia.

Authors:  Andrea L Tranquilli
Journal:  Pregnancy Hypertens       Date:  2013-06-06       Impact factor: 2.899

7.  Pregnancy Weight Gain Before Diagnosis and Risk of Preeclampsia: A Population-Based Cohort Study in Nulliparous Women.

Authors:  Jennifer A Hutcheon; Olof Stephansson; Sven Cnattingius; Lisa M Bodnar; Anna-Karin Wikström; Kari Johansson
Journal:  Hypertension       Date:  2018-06-18       Impact factor: 10.190

8.  Early-onset Preeclampsia in Lupus Pregnancy.

Authors:  Julia F Simard; Elizabeth V Arkema; Cathina Nguyen; Elisabet Svenungsson; Anna-Karin Wikström; Kristin Palmsten; Jane E Salmon
Journal:  Paediatr Perinat Epidemiol       Date:  2016-12-12       Impact factor: 3.980

9.  Maternal Obesity and the Risk of Early-Onset and Late-Onset Hypertensive Disorders of Pregnancy.

Authors:  Matthew J Bicocca; Hector Mendez-Figueroa; Suneet P Chauhan; Baha M Sibai
Journal:  Obstet Gynecol       Date:  2020-07       Impact factor: 7.661

10.  Cohort profile: systemic lupus erythematosus in Sweden: the Swedish Lupus Linkage (SLINK) cohort.

Authors:  Elizabeth V Arkema; Julia F Simard
Journal:  BMJ Open       Date:  2015-08-14       Impact factor: 2.692

  10 in total

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