Evidence map›Paper›PMID 37864500›Full record

ArticlePaediatric and perinatal epidemiology2024

Patterns of multiple chronic conditions in pregnancy: Population-based study using latent class analysis.

Hilary K Brown, Kinwah Fung, Eyal Cohen, Cindy-Lee Dennis, Sonia M Grandi, Laura C Rosella, Catherine Varner, Simone N Vigod, Walter P Wodchis, Joel G Ray

Open access · hybridAbstract read
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In one paragraph

Article in Paediatric and perinatal epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Hilary K BrownDepartment of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada.ORCID 0000-0002-8690-5841
Kinwah FungICES, Toronto, Ontario, Canada.
Eyal CohenInstitute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-0112-7188
Cindy-Lee DennisLawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada.
Sonia M GrandiDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8576-7854
Laura C RosellaDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Catherine VarnerInstitute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Simone N VigodInstitute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Walter P WodchisInstitute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Joel G RayInstitute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
University of Toronto · CAMount Sinai Hospital · CA

Funding

Canada Research Chairs
6 · The paper itself

Abstract

backgroundAdults with multiple chronic conditions (MCC) are a heterogeneous population with elevated risk of future adverse health outcomes. Yet, despite the increasing prevalence of MCC globally, data about MCC in pregnancy are scarce.

objectivesTo estimate the population prevalence of MCC in pregnancy and determine whether certain types of chronic conditions cluster together among pregnant women with MCC.

methodsWe conducted a population-based cohort study in Ontario, Canada, of all 15-55-year-old women with a recognised pregnancy, from 2007 to 2020. MCC was assessed from a list of 22 conditions, identified using validated algorithms. We estimated the prevalence of MCC. Next, we used latent class analysis to identify classes of co-occurring chronic conditions in women with MCC, with model selection based on parsimony, clinical interpretability and statistical fit.

resultsAmong 2,014,508 pregnancies, 324,735 had MCC (161.2 per 1000, 95% confidence interval [CI] 160.6, 161.8). Latent class analysis resulted in a five-class solution. In four classes, mood and anxiety disorders were prominent and clustered with one additional condition, as follows: Class 1 (22.4% of women with MCC), osteoarthritis; Class 2 (23.7%), obesity; Class 3 (15.8%), substance use disorders; and Class 4 (22.1%), asthma. In Class 5 (16.1%), four physical conditions clustered together: obesity, asthma, chronic hypertension and diabetes mellitus.

conclusionsMCC is common in pregnancy, with sub-types dominated by co-occurring mental and physical health conditions. These data show the importance of preconception and perinatal interventions, particularly integrated care strategies, to optimise treatment and stabilisation of chronic conditions in women with MCC.

Indexed as

AsthmaMultiple Chronic ConditionsPregnancy ComplicationsAdolescentAdultChronic DiseaseCohort StudiesFemaleHumansLatent Class AnalysisMiddle AgedObesityOntarioPregnancyYoung Adultcohort studylatent class analysismultimorbiditymultiple chronic conditionspregnancyprevalence

Identifiers

PMID37864500
OpenAlexW4387845930

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.