Impact of maternal obesity on fetal cardiac screening: which follow-up strategy is cost-effective?

Suboptimal Imaging on Obstetric Ultrasound Should Prompt Early Referral for Fetal Echocardiography

Recent studies suggest that suboptimal cardiac imaging on routine obstetric anatomy ultrasound (OB-scan) is not associated with a higher risk for congenital heart disease (CHD) and, therefore, should not be an indication for fetal echocardiography (F-echo). We aim to determine the incidence of CHD in patients referred for suboptimal imaging in a large catchment area, including regions that are geographically distant from a tertiary care center. We conducted a retrospective chart review of patients referred to Seattle Children's Hospital (SCH) and SCH Regional Cardiology sites (SCH-RC) from 2011 to 2021 for F-echo with the indication of suboptimal cardiac imaging by OB-scan. Of 454 patients referred for suboptimal imaging, 21 (5%) of patients were diagnosed with CHD confirmed on postnatal echo. 10 patients (2%) required intervention by age one. Mean GA at F-echo was significantly later for suboptimal imaging compared to all other referral indications (27.5 ± 3.9 vs 25.2 ± 5.2 weeks, p < 0.01). Mean GA at F-echo was also significantly later at SCH-RC compared to SCH (29.2 ± 4.6 vs 24.2 ± 2.9 weeks; p < 0.01). In our experience, CHD in patients referred for suboptimal imaging is higher (5%) than previously described, suggesting that routine referral for is warranted. Furthermore, while suboptimal imaging was associated with a delayed F-echo compared to other indications, this delay was most striking for those seen at regional sites. This demonstrates a potential disparity for these patients and highlights opportunities for targeted education in cardiac assessment for primary providers in these regions.

A Systematic Review of Methods and Practice for Integrating Maternal, Fetal, and Child Health Outcomes, and Family Spillover Effects into Cost-Utility Analyses

BACKGROUND

Maternal-perinatal interventions delivered during pregnancy or childbirth have unique characteristics that impact the health-related quality of life (HRQoL) of the mother, fetus, and newborn child. However, maternal-perinatal cost-utility analyses (CUAs) often only consider either maternal or child health outcomes. Challenges include, but are not limited to, measuring fetal, newborn, and infant health outcomes, and assessing their impact on maternal HRQoL. It is also important to recognize the impact of maternal-perinatal health on family members' HRQoL (i.e., family spillover effects) and to incorporate these effects in maternal-perinatal CUAs.

OBJECTIVE

The aim was to systematically review the methods used to include health outcomes of pregnant women, fetuses, and children and to incorporate family spillover effects in maternal-perinatal CUAs.

METHODS

A literature search was conducted in Medline, Embase, EconLit, Cochrane Collection, Cumulative Index to Nursing and Allied Health Literature (CINAHL), International Network of Agencies for Health Technology Assessment (INAHTA), and the Pediatric Economic Database Evaluation (PEDE) databases from inception to 2020 to identify maternal-perinatal CUAs that included health outcomes for pregnant women, fetuses, and/or children. The search was updated to December 2022 using PEDE. Data describing how the health outcomes of mothers, fetuses, and children were measured, incorporated, and reported along with the data on family spillover effects were extracted.

RESULTS

Out of 174 maternal-perinatal CUAs identified, 62 considered the health outcomes of pregnant women, and children. Among the 54 quality-adjusted life year (QALY)-based CUAs, 12 included fetal health outcomes, the impact of fetal loss on mothers' HRQoL, and the impact of neonatal demise on mothers' HRQoL. Four studies considered fetal health outcomes and the effects of fetal loss on mothers' HRQoL. One study included fetal health outcomes and the impact of neonatal demise on maternal HRQoL. Furthermore, six studies considered the impact of neonatal demise on maternal HRQoL, while four included fetal health outcomes. One study included the impact of fetal loss on maternal HRQoL. The remaining 26 only included the health outcomes of pregnant women and children. Among the eight disability-adjusted life year (DALY)-based CUAs, two measured fetal health outcomes. Out of 174 studies, only one study included family spillover effects. The most common measurement approach was to measure the health outcomes of pregnant women and children separately. Various approaches were used to assess fetal losses in terms of QALYs or DALYs and their impact on HRQoL of mothers. The most common integration approach was to sum the QALYs or DALYs for pregnant women and children. Most studies reported combined QALYs and incremental QALYs, or DALYs and incremental DALYs, at the family level for pregnant women and children.

CONCLUSIONS

Approximately one-third of maternal-perinatal CUAs included the health outcomes of pregnant women, fetuses, and/or children. Future CUAs of maternal-perinatal interventions, conducted from a societal perspective, should aim to incorporate health outcomes for mothers, fetuses, and children when appropriate. The various approaches used within these CUAs highlight the need for standardized measurement and integration methods, potentially leading to rigorous and standardized inclusion practices, providing higher-quality evidence to better inform decision-makers about the costs and benefits of maternal-perinatal interventions. Health Technology Assessment agencies may consider providing guidance for interventions affecting future lives in future updates.

Impact of maternal body mass index (BMI) and the challenges of fetal echocardiography

OBJECTIVES

Fetal echocardiography is the gold standard modality to detect suspected congenital heart disease (CHD). Accurate diagnosis and subsequent prognosis is even more challenging in the presence of a raised maternal body mass index (BMI). This retrospective study aimed to gain insight into the prevalence of obesity within the cohort of patients referred for fetal echocardiography.

STUDY DESIGN/METHODS

Retrospective analysis of all pregnant patients referred to the Scottish National Fetal Cardiology Service between 2015 and 2021 due to a suspected fetal cardiac abnormality and examining the associated trends in maternal BMI and the Scottish Index of Multiple Deprivation (SIMD).

RESULTS

BMI data were available for 962 (96.3%) of the 998 patients referred during the study period. Median BMI during the study period was 31. BMI range in the seven-year period was 16-63. There was no association between BMI group and year (P = 0.889). A median of 58% of patients referred were classified as overweight (BMI > 25 kg/m2), and only 37% were reported to have a BMI within normal limits. Referral BMI was relatively consistent in the seven years with no dramatic increase in the obese categories. Mean BMI in SIMD 5 (lowest level of deprivation), was significantly lower (P = 0.001), than in SIMD 1 (highest deprivation).

CONCLUSIONS

People of child bearing age should be aware the potential limitations that a raised BMI may have upon diagnostic/screening accuracy impacting subsequent ability to provide accurate fetal cardiac diagnoses and prognostic fetal cardiac imaging.

Ethical Considerations in Fetal Cardiology

Fetal cardiology has evolved over the last 40 years and changed the timing of diagnosis and counseling of congenital heart disease, decision-making, planning for treatment at birth, and predicting future surgery from the postnatal to the prenatal period. Ethical issues in fetal cardiology transect multiple aspects of biomedical ethics including improvement in prenatal detection and diagnostic capabilities, access to equitable comprehensive care that preserves a pregnant person's right to make decisions, access to all reproductive options, informed consent, complexity in shared decision-making, and appropriate use of fetal cardiac interventions. This paper first reviews the literature and then provides an ethical analysis of accurate and timely diagnosis, equitable delivery of care, prenatal counseling and shared decision-making, and innovation through in utero intervention.

Benefits and harms of antenatal and newborn screening programmes in health economic assessments: the VALENTIA systematic review and qualitative investigation

Background

Health economic assessments are used to determine whether the resources needed to generate net benefit from an antenatal or newborn screening programme, driven by multiple benefits and harms, are justifiable. It is not known what benefits and harms have been adopted by economic evaluations assessing these programmes and whether they omit benefits and harms considered important to relevant stakeholders.

Objectives

(1) To identify the benefits and harms adopted by health economic assessments in this area, and to assess how they have been measured and valued; (2) to identify attributes or relevance to stakeholders that ought to be considered in future economic assessments; and (3) to make recommendations about the benefits and harms that should be considered by these studies.

Design

Mixed methods combining systematic review and qualitative work.

Systematic review methods

We searched the published and grey literature from January 2000 to January 2021 using all major electronic databases. Economic evaluations of an antenatal or newborn screening programme in one or more Organisation for Economic Co-operation and Development countries were considered eligible. Reporting quality was assessed using the Consolidated Health Economic Evaluation Reporting Standards checklist. We identified benefits and harms using an integrative descriptive analysis and constructed a thematic framework.

Qualitative methods

We conducted a meta-ethnography of the existing literature on newborn screening experiences, a secondary analysis of existing individual interviews related to antenatal or newborn screening or living with screened-for conditions, and a thematic analysis of primary data collected with stakeholders about their experiences with screening.

Results

The literature searches identified 52,244 articles and reports, and 336 unique studies were included. Thematic framework resulted in seven themes: (1) diagnosis of screened for condition, (2) life-years and health status adjustments, (3) treatment, (4) long-term costs, (5) overdiagnosis, (6) pregnancy loss and (7) spillover effects on family members. Diagnosis of screened-for condition (115, 47.5%), life-years and health status adjustments (90, 37.2%) and treatment (88, 36.4%) accounted for most of the benefits and harms evaluating antenatal screening. The same themes accounted for most of the benefits and harms included in studies assessing newborn screening. Long-term costs, overdiagnosis and spillover effects tended to be ignored. The wide-reaching family implications of screening were considered important to stakeholders. We observed good overlap between the thematic framework and the qualitative evidence.

Limitations

Dual data extraction within the systematic literature review was not feasible due to the large number of studies included. It was difficult to recruit healthcare professionals in the stakeholder's interviews.

Conclusions

There is no consistency in the selection of benefits and harms used in health economic assessments in this area, suggesting that additional methods guidance is needed. Our proposed thematic framework can be used to guide the development of future health economic assessments evaluating antenatal and newborn screening programmes.

Study registration

This study is registered as PROSPERO CRD42020165236.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: NIHR127489) and is published in full in Health Technology Assessment; Vol. 28, No. 25. See the NIHR Funding and Awards website for further award information.

Maternal and infant hospitalization costs associated with maternal pre-pregnancy body mass index in California, 2007-2011

BACKGROUND

In the United States, the number of pregnant women who are overweight or obese is increasing. While such individuals are at increased risk of pregnancy complications, data regarding costs associated with pre-pregnancy body mass index (BMI) and maternal and infant outcomes are lacking.

OBJECTIVE

To estimate maternal and infant costs associated with pre-pregnancy BMI in a large cohort of pregnant women.

MATERIALS AND METHODS

We conducted a retrospective cohort study of women with singleton, non-anomalous births in California from 2007 to 2011. Women with preexisting diabetes mellitus and chronic hypertension were excluded. Hospitalization costs were estimated separately for women and infants using hospital charges adjusted using a cost-to-charge ratio. These costs included hospitalization costs for admission for delivery only. We estimated the differences in median costs between seven categories of pre-pregnancy BMIs, including underweight (BMI <18.5), normal weight (BMI 18.5-24.9), overweight (BMI 25.0-29.9), class I obesity (BMI 30.0-34.9), class II obesity (BMI 35.0-39.9), class III obesity (BMI 40.0-49.9) and obesity with BMI ≥50.0. We also performed stratified analyses by mode of delivery and gestational age at delivery. We examined the length of stay for women and infants and estimated the gestational age at delivery. Analyses were conducted utilizing Kruskal-Wallis equality-of-populations rank tests with a significance cutoff of 0.05.

RESULTS

In a California cohort of 1,722,840 women, 787,790 (45.7%) had a pre-pregnancy BMI that was considered overweight or obese. The median maternal and infant costs of each pre-pregnancy BMI strata were significantly different when compared to other strata, with underweight and normal weight women having the lowest median costs ($11,581 and $11,721, respectively) and the most obese category (BMI ≥50) having the highest costs ($15,808). When stratified by mode of delivery and gestational age at delivery, this remained true. Hospitalization costs for women and infants with severe maternal morbidity were also significantly different based on maternal BMI.

COMMENT

The hospitalization costs associated with each strata of BMI were significantly different when compared to each other and when stratified by mode of delivery and prematurity. This analysis allows for a greater understanding of the health care costs associated with different maternal pre-pregnancy BMI classes.