Evidence map›Paper›PMID 41575743›Full record

ArticleJAMA network open2026

Multiple Maternal Chronic Conditions and Risk of Severe Neonatal Morbidity and Mortality.

Hilary K Brown, Kinwah Fung, Eyal Cohen, Cindy-Lee Dennis, Sonia M Grandi, Laura C Rosella, Catherine Varner, Simone N Vigod, Jannah Wigle, Walter P Wodchis and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Observational
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

11 authors.

Hilary K BrownDepartment of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada.
Kinwah FungICES, Toronto, Ontario, Canada.
Eyal CohenICES, Toronto, Ontario, Canada.
Cindy-Lee DennisLawrence Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada.
Sonia M GrandiDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Laura C RosellaDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Catherine VarnerInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
Simone N VigodWomen's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada.
Jannah WigleDepartment of Health and Society, University of Toronto Scarborough, Toronto, Ontario, Canada.
Walter P WodchisICES, Toronto, Ontario, Canada.
Joel G RayICES, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Nearly 16% of pregnant individuals have multiple chronic conditions (MCC), and the risk of severe maternal morbidity and mortality increases in a dose-response manner with the number of preexisting conditions. However, little is known about newborn outcomes in this population. Objective: To examine the association of the number of preexisting maternal chronic conditions, as well as the presence of MCC complexity, cardiometabolic MCC, and MCC severity, with the risk of severe neonatal morbidity or mortality (SNM-M). Design, Setting, and Participants: This population-based cohort study was conducted in Ontario, Canada, among all live births from 2012 to 2021. Data were analyzed from September 2024 to November 2025. Exposure: Maternal MCC measured in the 2 years before conception. Main Outcomes and Measures: Modified Poisson regression was performed to generate adjusted relative risks (aRRs) for SNM-M by the number of chronic conditions, MCC complexity (≥3 chronic conditions in ≥3 body systems), co-occurring cardiometabolic conditions, and MCC severity marked by a prenatal hospitalization for a chronic illness. Multivariable models were adjusted for age, parity, immigration status, income quintile, and rurality. Results: The cohort comprised 1 018 968 newborns, including 20 934 to mothers with 3 or more chronic conditions (mean [SD] maternal age, 30.0 [6.3] years), 73 768 to mothers with 2 chronic conditions (mean [SD] maternal age, 30.3 [5.8] years), 276 765 to mothers with 1 chronic condition (mean [SD] maternal age, 30.7 [5.4] years), and 647 501 to mothers with 0 chronic conditions (mean [SD] maternal age, 31.0 [5.1] years). Compared with newborns of mothers with 0 chronic conditions, the aRR for SNM-M increased in a dose-response fashion in newborns of mothers with 1 (1.26; 95% CI, 1.24-1.28), 2 (1.58; 95% CI, 1.54-1.62), and 3 or more (2.01; 95% CI, 1.94-2.09) chronic conditions. The aRRs were also increased with complex MCC (1.97; 95% CI, 1.88-2.06), cardiometabolic MCC (2.67; 95% CI, 2.24-3.19), and severe MCC (3.11; 95% CI, 2.55-3.79). Conclusions and relevance: In this study, risks of SNM-M increased with an increasing number of preexisting maternal chronic conditions. These findings suggest that women and adolescents with MCC may benefit from preconception counseling to optimize chronic disease management, monitoring in pregnancy for earlier identification of complications, and enhanced newborn supports.

Indexed as

Infant MortalityMultiple Chronic ConditionsPregnancy ComplicationsAdultCohort StudiesFemaleHumansInfantInfant, NewbornOntarioPregnancyRisk Factors

Identifiers

PMID41575743
PMCPMC12831157

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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.