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Observational Study
. 2022 Aug;35(16):3175-3181.
doi: 10.1080/14767058.2020.1814248. Epub 2020 Sep 8.

Identifying predictive factors for admitting patients with severe pre-eclampsia to intensive care unit

Affiliations
Observational Study

Identifying predictive factors for admitting patients with severe pre-eclampsia to intensive care unit

Vincent Minville et al. J Matern Fetal Neonatal Med. 2022 Aug.

Abstract

Background: Traditional obstetric units are inadequate for the level of monitoring required in pre-eclamptic patients. It remains to be determined which facility and tools should be implemented. The aim of this work was to identify predictive factors of admission to Intensive Care Unit (ICU) admissions for pregnancy-related hypertensive complications.

Methods: We conducted an observational, retrospective multicenter study (Toulouse, Nantes). Both have a level III maternity unit and an ICU. The selected patients had one or more of the following diagnoses on admission in the ICU or during hospitalization: pre-eclampsia, eclampsia, HELLP syndrome, Acute Fatty Liver of Pregnancy (AFLP), Hemolytic Uremic Syndrome (HUS). SAPS II, SOFA and APACHE II on admission, and a validated nursing workload assessment score: TISS 28, were collected.

Results: 211 parturient women were included. According to the multivariate analysis: APACHE II and SAPS 2 severity scores >15 were significantly higher in the TISS 28 ≥ 20 group. There were also higher rates of uricemia >360 mmol/l.

Conclusions: To date, there are no reliable and validated predictive factors of severity to guide the transfer of pre-eclamptic patients to an ICU. The combination of an increased APACHE II score and uricemia, as well as a high care workload score that could help with the transfer of high-risk pre-eclamptic patients to a specific care facility. This hypothesis should be tested prospectively. This work could incite reflection on the value of creating obstetric intensive care units, according to the size of the maternity unit.

Keywords: Pre-eclampsia; care workload; intensive care unit; predictive factors.

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