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

**Authors:** 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, Joel G. Ray

PMC · DOI: 10.1001/jamanetworkopen.2025.55558 · JAMA Network Open · 2026-01-23

## TL;DR

More maternal chronic conditions before pregnancy increase the risk of severe problems or death in newborns.

## Contribution

This study shows a dose-response link between maternal chronic conditions and severe neonatal outcomes.

## Key findings

- The risk of severe neonatal morbidity or mortality increases with more maternal chronic conditions.
- Complex and severe maternal chronic conditions are strongly associated with worse neonatal outcomes.
- Preconception counseling and enhanced monitoring are recommended for mothers with multiple chronic conditions.

## Abstract

This cohort study investigates the association of the number, complexity, severity, and cardiometabolic status of multiple maternal chronic conditions (MCC) with severe neonatal morbidity or mortality.

What is the association of the number, complexity, type, and severity of preexisting maternal chronic conditions with severe neonatal morbidity or mortality?

In this cohort study of 1 018 968 births, there was a dose-response association between the number of maternal chronic conditions before pregnancy and the risk of severe neonatal morbidity or mortality, preterm birth, and congenital anomalies.

These findings suggest the importance of preconception counseling for mothers with multiple chronic conditions to optimize chronic disease management, monitoring in pregnancy for earlier identification of complications, and enhanced newborn supports.

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.

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).

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.

Maternal MCC measured in the 2 years before conception.

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.

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).

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.

## Full-text entities

- **Diseases:** cardiomyopathy (MESH:D009202), rheumatic or collagen diseases (MESH:D012216), cardiac arrhythmia (MESH:D001145), kidney disease (MESH:D007674), dyslipidemia (MESH:D050171), cardiac disease (MESH:D006331), SNM-M (MESH:D066087), congenital anomalies (MESH:D000013), prematurity (MESH:C536271), congenital heart disease (MESH:D006330), multiple sclerosis (MESH:D009103), coronary artery syndrome (MESH:D003324), sickle cell disease (MESH:D000755), allergic diseases (MESH:D004342), multiple (MESH:D009104), chronic obstructive pulmonary disease (MESH:D029424), respiratory disease (MESH:D012140), hepatitis (MESH:D056486), mood and anxiety disorders (MESH:D001008), disease (MESH:D004194), cardiovascular disease (MESH:D002318), chronic liver disease (MESH:D008107), congestive heart failure (MESH:D006333), M (MESH:C566367), sexually transmitted infections (MESH:D012749), depression (MESH:D003866), diabetes (MESH:D003920), preterm birth (MESH:D047928), cardiometabolic chronic conditions (MESH:D024821), Chronic Condition (MESH:D002908), inflammatory bowel disease (MESH:D015212), neurological disease (MESH:D020271), Maternal (MESH:D000079262), epilepsy (MESH:D004827), Conditions (MESH:D020763), systemic lupus erythematosus (MESH:D008180), asthma (MESH:D001249), substance use disorders (MESH:D019966), cancer (MESH:D009369), HIV (MESH:D015658), seizure (MESH:D012640), rheumatoid arthritis (MESH:D001172), migraine (MESH:D008881), mental illness (MESH:D001523), hypertension (MESH:D006973), gastric or duodenal ulcer (MESH:D013276), anemia (MESH:D000740), kidney failure (MESH:D051437), preeclampsia (MESH:D011225), thyroid disease (MESH:D013959), osteoarthritis (MESH:D010003), stroke (MESH:D020521), stillbirths (MESH:D050497), obesity (MESH:D009765), alcohol and substance use disorders (MESH:D000437)
- **Chemicals:** SNM (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

58 references — full list in the complete paper: https://tomesphere.com/paper/PMC12831157/full.md

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Source: https://tomesphere.com/paper/PMC12831157