Evidence map›Paper›PMID 31775866›Full record

Observational studyCritical care (London, England)2019

Variability in intensive care unit admission among pregnant and postpartum women in Canada: a nationwide population-based observational study.

Kazuyoshi Aoyama, Ruxandra Pinto, Joel G Ray, Andrea D Hill, Damon C Scales, Stephen E Lapinsky, Michelle Hladunewich, Gareth R Seaward, Robert A Fowler

Abstract readObservational Study
In one paragraph

Observational study in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kazuyoshi AoyamaDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, 555 University Ave, #2211, Toronto, ON, M5G 1X8, Canada. kazu.aoyama@utoronto.ca.ORCID 0000-0002-7502-0896
Ruxandra PintoDepartment of Critical Care Medicine, Sunnybrook Health Science Center, 2075 Bayview Ave., Toronto, ON, M4N 3M5, Canada.
Joel G RayKeenan Research Centre of the Li Ka Shing Knowledge Institute of St. Michael's Hospital, 209 Victoria St, Toronto, ON, M5B 1T8, Canada.
Andrea D HillDepartment of Critical Care Medicine, Sunnybrook Health Science Center, 2075 Bayview Ave., Toronto, ON, M4N 3M5, Canada.
Damon C ScalesInstitute of Health Policy, Management and Evaluation, University of Toronto, 4th Floor, 155 College St., Toronto, ON, M5T 3M6, Canada.
Stephen E LapinskyDepartment of Critical Care Medicine, Mount Sinai Hospital and University Health Network, 600 University Ave., Toronto, ON, M5G 1X5, Canada.
Michelle HladunewichKidney Care Centre, Sunnybrook Health Science Center, 1929 Bayview Ave., Toronto, ON, M4G 3E8, Canada.
Gareth R SeawardInstitute of Health Policy, Management and Evaluation, University of Toronto, 4th Floor, 155 College St., Toronto, ON, M5T 3M6, Canada.
Robert A FowlerInstitute of Health Policy, Management and Evaluation, University of Toronto, 4th Floor, 155 College St., Toronto, ON, M5T 3M6, Canada.

Funding

CIHRInstitute of Gender and Health 342397
6 · The paper itself

Abstract

backgroundPregnancy-related critical illness results in approximately 300,000 deaths globally each year. The objective was to describe the variation in ICU admission and the contribution of patient- and hospital-based factors in ICU admission among acute care hospitals for pregnant and postpartum women in Canada.

methodsA nationwide cohort study between 2004 and 2015, comprising all pregnant or postpartum women admitted to Canadian hospitals. The primary outcome was ICU admission. Secondary outcomes were severe maternal morbidity (a potentially life-threatening condition) and maternal death (during and within 6 weeks after pregnancy). The proportion of total variability in ICU admission rates due to the differences among hospitals was described using the median odds ratio from multi-level logistic regression models, adjusting for individual hospital clusters.

resultsThere were 3,157,248 identifiable pregnancies among women admitted to 342 Canadian hospitals. The overall ICU admission rate was 3.2 per 1000 pregnancies. The rate of severe maternal morbidity was 15.8 per 1000 pregnancies, of which 10% of women were admitted to an ICU. The most common severe maternal morbidity events included postpartum hemorrhage (n = 16,364, 0.52%) and sepsis (n = 11,557, 0.37%). Of the 195 maternal deaths (6.2 per 100,000 pregnancies), only 130 (67%) were admitted to ICUs. Patients dying in hospital, without admission to ICU, included those with cardiovascular compromise, hemorrhage, and sepsis. For 2 pregnant women with similar characteristics at different hospitals, the average (median) odds of being admitted to ICU was 1.92 in 1 hospital compared to another. Hospitals admitting the fewest number of pregnant patients had the highest incidence of severe maternal morbidity and mortality. Patient-level factors associated with ICU admission were maternal comorbidity index (OR 1.88 per 1 unit increase, 95%CI 1.86-1.99), urban residence (OR 1.09, 95%CI 1.02-1.16), and residing at the lowest income quintile (OR 1.44, 95%CI 1.34-1.55).

conclusionsMost women who experience severe maternal morbidity are not admitted to an ICU. There exists a wide hospital-level variability in ICU admission, with patients living in urban locations and patients of lowest income levels most likely to be admitted to ICU. Cardiovascular compromise, hemorrhage, and sepsis represent an opportunity for improved patient care and outcomes.

Indexed as

Pregnant PeopleAdolescentAdultCanadaCohort StudiesCritical IllnessFemaleHospitalizationHumansIncidenceIntensive Care UnitsMiddle AgedPregnancyPregnancy ComplicationsICU admissionMaternal healthMulti-level regression modelsNationwide population-based studyPregnant and postpartum womenVariability

Identifiers

PMID31775866
PMCPMC6881971

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.