Objectives: To identify pregnant and postpartum patients admitted to intens
ive care units (ICUs), the cause for their admission, and the proportion th
at might be appropriately managed in a high-dependency environment (HDU) by
using an existing database. To estimate the goodness-of-fit for the Simpli
fied Acute Physiology Score II, the Acute Physiology and Chronic Health Eva
luation (APACHE) II, and the APACHE III scoring systems in the obstetrical
population.
Design: Retrospective analysis of demographic, diagnostic, treatment, and s
everity of illness data.
Setting: Fourteen ICUs in Southern England.
Patients: Pregnant or postpartum (<42 days) admissions between January 1, 1
994, and December 31, 1996.
Interventions: None.
Measurements and Main Results:We identified 210 patients, constituting 1.84
% (210 of 11,385) of all ICD admissions and 0.17% (210 of 122,850) of all d
eliveries. Most admissions followed postpartum complications (hypertensive
disease of pregnancy [39.5%] and major hemorrhage [33.3%]). Seven women wer
e transferred to specialist ICUs. There was considerable variation between
ICUs with respect to the number and type of interventions required by patie
nts. Some 35.7% of patients stayed in ICU for <2 days and received no speci
fic ICU interventions; these patients might have been safely managed in an
HDU. There were seven maternal deaths (3.3%); fetal mortality rate was 20%.
The area under the receiver operator characteristic curve and the standard
ized mortality ratio were 0.92 (confidence interval [CI], 0.85-0.99) and 0.
43 for the Simplified Acute Physiology Score II, 0.94 (CI, 0.86-1.0) and 0.
24 for APACHE II, and 0.98 (CI, 0.96-1.0) and 0.43 for APACHE III, respecti
vely.
Conclusions: Existing databases can both identify critically ill obstetrica
l patients and provide important information about them. Obstetrical ICU ad
missions often require minimal intervention and are associated with low mor
tality rates. Many might be more appropriately managed in an HDU. The commo
nly used severity of illness scoring systems are good discriminators of out
come from intensive care admission in this group but may overestimate morta
lity rates. Severity of illness scoring systems may require modification in
obstetrical patients to adjust for the normal physiologic responses to pre
gnancy.