Am J Perinatol 2024; 41(S 01): e267-e274
DOI: 10.1055/a-1878-0149
Original Article

Identification of Distinct Risk Factors for Antepartum and Postpartum Preeclampsia in a High-Risk Safety-Net Hospital

Michelle Picon
1   Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
,
1   Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
,
Denise J. Jamieson
1   Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
,
1   Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
› Institutsangaben

Abstract

Objective Postpartum preeclampsia (PE), defined as de novo PE that develops at least 48 hours following delivery, can be particularly dangerous as many patients are already discharged at that point. The goal of our study was to identify risk factors uniquely associated with the development of late postpartum preeclampsia (PPPE).

Study Design In a retrospective cohort study of deliveries between July 1, 2016 and June 30, 2018 at a safety-net hospital in Atlanta, Georgia, we used multinomial logistic regression models to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for associations between demographic, medical, and obstetric factors and development of PE, categorized as a three-level outcome: no PE, antepartum/intrapartum preeclampsia (APE) (diagnosed prior to or < 48 hours of delivery), and late PPPE (diagnosed ≥ 48-hour postpartum).

Results Among 3,681 deliveries, women were primarily of ages 20 to 35 years (76.4%), identified as non-Hispanic Black (68.5%), and covered by public health insurance (88.6%). PE was diagnosed prior to delivery or within 48-hour postpartum in 12% (n = 477) of the study population, and 1.5% (57) developed PE greater than 48-hour postpartum. In the adjusted models, maternal age ≥ 35, race/ethnicity, nulliparity, a diagnosis of pregestational or gestational diabetes, and chronic hypertension were associated with increased odds of APE only, while maternal obesity (OR: 1.9; 95% CI: 1.0–3.5) and gestational hypertension (OR: 2.7; 95% CI: 1.5–4.8) were uniquely associated with PPPE. Multifetal gestations and cesarean delivery predicted both PPPE and APE; however, the association was stronger for PPPE.

Conclusion Patients with obesity, gestational hypertension, multifetal gestations, or cesarean delivery may benefit from additional follow-up in the early postpartum period to detect PPPE.

Key Points

  • Late postpartum preeclampsia may go undetected, particularly in low-income patients.

  • In a delivery cohort in Georgia, 1.5% of patients developed late postpartum preeclampsia.

  • Maternal obesity and gestational hypertension were strongly associated only with late postpartum preeclampsia.



Publikationsverlauf

Eingereicht: 27. Oktober 2021

Angenommen: 03. Juni 2022

Accepted Manuscript online:
16. Juni 2022

Artikel online veröffentlicht:
10. Juli 2022

© 2022. Thieme. All rights reserved.

Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA

 
  • References

  • 1 ACOG Practice Bulletin No. 202: Gestational hypertension and preeclampsia. Obstet Gynecol 2019; 133 (01) e1-e25
  • 2 Fingar KR, Mabry-Hernandez I, Ngo-Metzger Q, Wolff T, Steiner CA, Elixhauser A. Delivery hospitalizations involving preeclampsia and eclampsia, 2005–2014: statistical brief #222. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs [Internet]. Rockville, MD: Agency for Healthcare Research and Quality (US); 2006. [cited 2020 Nov 10]
  • 3 English FA, Kenny LC, McCarthy FP. Risk factors and effective management of preeclampsia. Integr Blood Press Control 2015; 8: 7-12
  • 4 Sibai BM. Etiology and management of postpartum hypertension-preeclampsia. Am J Obstet Gynecol 2012; 206 (06) 470-475
  • 5 Hauspurg A, Jeyabalan A. Postpartum preeclampsia or eclampsia: defining its place and management among the hypertensive disorders of pregnancy. Am J Obstet Gynecol 2022; 226 (2S, Supplement) S1211-S1221
  • 6 Matthys LA, Coppage KH, Lambers DS, Barton JR, Sibai BM. Delayed postpartum preeclampsia: an experience of 151 cases. Am J Obstet Gynecol 2004; 190 (05) 1464-1466
  • 7 Al-Safi Z, Imudia AN, Filetti LC, Hobson DT, Bahado-Singh RO, Awonuga AO. Delayed postpartum preeclampsia and eclampsia: demographics, clinical course, and complications. Obstet Gynecol 2011; 118 (05) 1102-1107
  • 8 Wen T, Wright JD, Goffman D. et al. Hypertensive postpartum admissions among women without a history of hypertension or preeclampsia. Obstet Gynecol 2019; 133 (04) 712-719
  • 9 Bigelow CA, Pereira GA, Warmsley A. et al. Risk factors for new-onset late postpartum preeclampsia in women without a history of preeclampsia. Am J Obstet Gynecol 2014; 210 (04) 338.e1-338.e8
  • 10 Redman EK, Hauspurg A, Hubel CA, Roberts JM, Jeyabalan A. Clinical Course, associated factors, and blood pressure profile of delayed-onset postpartum preeclampsia. Obstet Gynecol 2019; 134 (05) 995-1001
  • 11 Skurnik G, Hurwitz S, McElrath TF. et al. Labor therapeutics and BMI as risk factors for postpartum preeclampsia: a case-control study. Pregnancy Hypertens 2017; 10: 177-181
  • 12 Takaoka S, Ishii K, Taguchi T. et al. Clinical features and antenatal risk factors for postpartum-onset hypertensive disorders. Hypertens Pregnancy 2016; 35 (01) 22-31
  • 13 Tran S, Fogel J, Karrar S, Hong P. Comparison of process outcomes, clinical symptoms and laboratory values between patients with antepartum preeclampsia, antepartum with persistent postpartum preeclampsia, and new onset postpartum preeclampsia. J Gynecol Obstet Hum Reprod 2020; 49 (05) 101724
  • 14 Vilchez G, Hoyos LR, Leon-Peters J, Lagos M, Argoti P. Differences in clinical presentation and pregnancy outcomes in antepartum preeclampsia and new-onset postpartum preeclampsia: are these the same disorder?. Obstet Gynecol Sci 2016; 59 (06) 434-443
  • 15 Jamieson DJ, Haddad LB. What obstetrician-gynecologists should know about population health. Obstet Gynecol 2018; 131 (06) 1145-1152
  • 16 Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009; 42 (02) 377-381
  • 17 de Jong VMT, Eijkemans MJC, van Calster B. et al. Sample size considerations and predictive performance of multinomial logistic prediction models. Stat Med 2019; 38 (09) 1601-1619
  • 18 Hosmer DW, Lemesbow S. Goodness of fit tests for the multiple logistic regression model. Commun Stat Theory Methods 1980; 9 (10) 1043-1069
  • 19 American College of Obstetricians and Gynecologists. ACOG committee opinion no. 736: optimizing postpartum care. Obstet Gynecol 2018; 131 (05) e140-e150
  • 20 Larsen WI, Strong JE, Farley JH. Risk factors for late postpartum preeclampsia. J Reprod Med 2012; 57 (1-2): 35-38
  • 21 McLaren RA, Magenta M, Gilroy L. et al. Predictors of readmission for postpartum preeclampsia. Hypertens Pregnancy 2021; 40 (03) 254-260
  • 22 Wen T, Krenitsky NM, Clapp MA. et al. Fragmentation of postpartum readmissions in the United States. Am J Obstet Gynecol 2020; 223 (02) 252.e1-252.e14
  • 23 Clark SL, Belfort MA, Dildy GA. et al. Emergency department use during the postpartum period: implications for current management of the puerperium. Am J Obstet Gynecol 2010; 203 (01) 38.e1-38.e6
  • 24 Tully KP, Stuebe AM, Verbiest SB. The fourth trimester: a critical transition period with unmet maternal health needs. Am J Obstet Gynecol 2017; 217 (01) 37-41
  • 25 Campbell A, Stanhope KK, Platner M, Joseph NT, Jamieson DJ, Boulet SL. Demographic and Clinical Predictors of Postpartum Blood Pressure Screening Attendance. J Women Health 2021;
  • 26 Romagano MP, Sachdev D, Flint M, Williams SF, Apuzzio JJ, Gittens-Williams L. 1181: Factors associated with attendance at the postpartum blood pressure visit in pregnancies complicated by hypertension. Am J Obstet Gynecol 2020; 222 (01) S726