Risk of unplanned healthcare utilization in postpartum period for patients with hypertensive disorders of pregnancy

Livergood, Mary Christine; Hauck, Jordan; Mahlum, Leigh; Tallmadge, Maggie; Russell, Rachel; Kulinski, Jacquelyn; Palatnik, Anna

doi:10.1016/j.preghy.2022.01.008

Cited by 6 publications

(1 citation statement)

References 16 publications

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“…We confirmed findings from previous studies that women who re-present with hypertension are older, of greater BMI, more likely to have an existing diagnosis of HDP, higher peak SBP during the delivery admission, more likely to be prescribed aspirin and to have a caesarean delivery (table 1). 1–4 19–21 23 24…”

Section: Discussionmentioning

confidence: 99%

Multivariable risk model for postpartum re-presentation with hypertension: development phase

McDougall,

Yuan,

Olivier

et al. 2023

BMJ Open Qual

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ObjectivesPostpartum hypertension is one of the leading causes of re-presentation to hospital postpartum and is associated with adverse long-term cardiovascular risk. Postpartum blood pressure monitoring and management interventions have been shown to reduce hospital re-presentation, complications and long-term blood pressure control. Identifying patients at risk can be difficult as 40%–50% present with de novo postpartum hypertension. We aim to develop a risk model for postpartum re-presentation with hypertension using data readily available at the point of discharge.DesignA case–control study comparing all patients who re-presented to hospital with hypertension within 28 days post partum to a random sample of all deliveries who did not re-present with hypertension. Multivariable analysis identified risk factors and bootstrapping selected variables for inclusion in the model. The area under the receiver operator characteristic curve or C-statistic was used to test the model’s discriminative ability.SettingA retrospective review of all deliveries at a tertiary metropolitan hospital in Melbourne, Australia from 1 January 2016 to 30 December 2020.ResultsThere were 17 746 deliveries, 72 hypertension re-presentations of which 51.4% presented with de novo postpartum hypertension. 15 variables were considered for the multivariable model. We estimated a maximum of seven factors could be included to avoid overfitting. Bootstrapping selected six factors including pre-eclampsia, gestational hypertension, peak systolic blood pressure in the delivery admission, aspirin prescription and elective caesarean delivery with a C-statistic of 0.90 in a training cohort.ConclusionThe development phase of this risk model builds on the three previously published models and uses factors readily available at the point of delivery admission discharge. Once tested in a validation cohort, this model could be used to identify at risk women for interventions to help prevent hypertension re-presentation and the short-term and long-term complications of postpartum hypertension.

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Section: Discussionmentioning

confidence: 99%