Population-based study of risk factors for severe maternal morbidity

Severe Maternal Morbidity among Low-Income Patients with Hypertensive Disorders of Pregnancy

OBJECTIVE

 Hypertensive disorders of pregnancy (HDP) contribute significantly to the development of severe maternal morbidities (SMM), particularly among low-income women. The purpose of the study was to explore the relationship between maternal characteristics and SMM, and to investigate if differences in SMM exist among patients with HDP diagnosis.

STUDY DESIGN

 This study utilized 2017 Alabama Medicaid administrative claims. SMM diagnoses were captured using the Centers for Disease Control and Prevention's classification by International Classification of Diseases codes. Maternal characteristics and frequencies were compared using Chi-square and Cramer's V statistics. Logistic regression analyses were conducted to examine multivariable relationships between maternal characteristics and SMM among patients with HDP diagnosis. Odds ratios and 95% confidence intervals (CIs) were used to estimate risk.

RESULTS

 A higher proportion of patients experiencing SMM were >34 years old, Black, Medicaid for Low-Income Families eligible, lived in a county with greater Medicaid enrollment, and entered prenatal care (PNC) in the first trimester compared with those without SMM. Almost half of patients (46.2%) with SMM had a HDP diagnosis. After controlling for maternal characteristics, HDP, maternal age, county Medicaid enrollment, and trimester PNC entry were not associated with SMM risk. However, Black patients with HDP were at increased risk for SMM compared with White patients with HDP when other factors were taken into account (adjusted odds ratio [aOR] = 1.37, 95% CI: 1.11-1.69). Patients with HDP and SMM were more likely to have a prenatal hospitalization (aOR = 1.45, 95% CI: 1.20-1.76), emergency visit (aOR = 1.30, 95% CI: 1.07-1.57), and postpartum cardiovascular prescription (aOR = 2.43, 95% CI: 1.95-3.04).

CONCLUSION

 Rates of SMM differed by age, race, Medicaid income eligibility, and county Medicaid enrollment but were highest among patients with clinical comorbidities, especially HDP. However, among patients with HDP, Black patients had an elevated risk of severe morbidity even after controlling for other characteristics.

KEY POINTS

· Patients with SMM were more likely to have a HDP diagnosis.. · Among those with HDP, Black patients had elevated risk of SMM.. · Differences in care delivery did not explain SMM disparities..

Neighborhood Deprivation and Severe Maternal Morbidity in a Medicaid Population

INTRODUCTION

Few studies have examined whether neighborhood deprivation is associated with severe maternal morbidity (SMM) in already socioeconomically disadvantaged populations. Little is known about to what extent neighborhood deprivation accounts for Black-White disparities in SMM. This study investigated these questions among a statewide Medicaid-insured population, a low-income population with heightened risk of SMM.

METHODS

Data were from Michigan statewide linked birth records and Medicaid claims between 01/01/2016 and 12/31/2019, and were analyzed between 2022 and 2023. Neighborhood deprivation was measured with the Area Deprivation Index at census block group and categorized as low, medium, or high deprivation. Multilevel logistic models were used to examine the association between neighborhood deprivation and SMM. Fairlie nonlinear decomposition was conducted to quantify the contribution of neighborhood deprivation to SMM racial disparity.

RESULTS

People in the most deprived neighborhoods had higher odds of SMM than those in the least deprived neighborhoods (aOR [95% CI]: 1.27 [1.15, 1.40]). Such association was observed in Black (aOR [95% CI]: 1.34 [1.07, 1.67]) and White (aOR [95% CI]: 1.26 [1.12, 1.42]) racial subgroups. Decomposition showed that of 57.5 (cases per 10,000) explained disparity in SMM, neighborhood deprivation accounted for 23.1 (cases per 10,000; 95% CI: 16.3, 30.0) or two-fifths (40.2%) of the Black-White disparity. Analysis on SMM excluding blood transfusion showed consistent but weaker results.

CONCLUSIONS

Neighborhood deprivation may be used as an effective tool to identify at-risk individuals within a low-income population. Community-engaged interventions aiming at improving neighborhood conditions may be helpful to reduce both SMM prevalence and racial inequity in SMM.

Trends and Disparities in Severe Maternal Morbidity Indicator Categories during Childbirth Hospitalization in California from 1997 to 2017

OBJECTIVE

 Severe maternal morbidity (SMM) is increasing and characterized by substantial racial and ethnic disparities. Analyzing trends and disparities across time by etiologic or organ system groups instead of an aggregated index may inform specific, actionable pathways to equitable care. We explored trends and racial and ethnic disparities in seven SMM categories at childbirth hospitalization.

STUDY DESIGN

 We analyzed California birth cohort data on all live and stillbirths ≥ 20 weeks' gestation from 1997 to 2017 (n = 10,580,096) using the Centers for Disease Control and Prevention's SMM index. Cases were categorized into seven nonmutually exclusive indicator categories (cardiac, renal, respiratory, hemorrhage, sepsis, other obstetric, and other medical SMM). We compared prevalence and trends in SMM indicator categories overall and by racial and ethnic group using logistic and linear regression.

RESULTS

 SMM occurred in 1.16% of births and nontransfusion SMM in 0.54%. Hemorrhage SMM occurred most frequently (27 per 10,000 births), followed by other obstetric (11), respiratory (7), and sepsis, cardiac, and renal SMM (5). Hemorrhage, renal, respiratory, and sepsis SMM increased over time for all racial and ethnic groups. The largest disparities were for Black individuals, including over 3-fold increased odds of other medical SMM. Renal and sepsis morbidity had the largest relative increases over time (717 and 544%). Sepsis and hemorrhage SMM had the largest absolute changes over time (17 per 10,000 increase). Disparities increased over time for respiratory SMM among Black, U.S.-born Hispanic, and non-U.S.-born Hispanic individuals and for sepsis SMM among Asian or Pacific Islander individuals. Disparities decreased over time for sepsis SMM among Black individuals yet remained substantial.

CONCLUSION

 Our research further supports the critical need to address SMM and disparities as a significant public health priority in the United States and suggests that examining SMM subgroups may reveal helpful nuance for understanding trends, disparities, and potential needs for intervention.

KEY POINTS

· By SMM subgroup, trends and racial and ethnic disparities varied yet Black individuals consistently had highest rates.. · Hemorrhage, renal, respiratory, and sepsis SMM significantly increased over time.. · Disparities increased for respiratory SMM among Black, U.S.-born Hispanic and non-U.S.-born Hispanic individuals and for sepsis SMM among Asian or Pacific Islander individuals..

Association between stillbirth and severe maternal morbidity

BACKGROUND

Severe maternal morbidity has been increasing in the past few decades. Few studies have examined the risk of severe maternal morbidity among individuals with stillbirths vs individuals with live-birth deliveries.

OBJECTIVE

This study aimed to examine the prevalence and risk of severe maternal morbidity among individuals with stillbirths vs individuals with live-birth deliveries during delivery hospitalization as a primary outcome and during the postpartum period as a secondary outcome.

STUDY DESIGN

This was a retrospective cohort study using birth and fetal death certificate data linked to hospital discharge records from California (2008-2018), Michigan (2008-2020), Missouri (2008-2014), Pennsylvania (2008-2014), and South Carolina (2008-2020). Relative risk regression analysis was used to examine the crude and adjusted relative risks of severe maternal morbidity along with 95% confidence intervals among individuals with stillbirths vs individuals with live-birth deliveries, adjusting for birth year, state of residence, maternal sociodemographic characteristics, and the obstetric comorbidity index.

RESULTS

Of the 8,694,912 deliveries, 35,012 (0.40%) were stillbirths. Compared with individuals with live-birth deliveries, those with stillbirths were more likely to be non-Hispanic Black (10.8% vs 20.5%); have Medicaid (46.5% vs 52.0%); have pregnancy complications, including preexisting diabetes mellitus (1.1% vs 4.3%), preexisting hypertension (2.3% vs 6.2%), and preeclampsia (4.4% vs 8.4%); have multiple pregnancies (1.6% vs 6.2%); and reside in South Carolina (7.4% vs 11.6%). During delivery hospitalization, the prevalence rates of severe maternal morbidity were 791 cases per 10,000 deliveries for stillbirths and 154 cases per 10,000 deliveries for live-birth deliveries, whereas the prevalence rates for nontransfusion severe maternal morbidity were 502 cases per 10,000 deliveries for stillbirths and 68 cases per 10,000 deliveries for live-birth deliveries. The crude relative risk for severe maternal morbidity was 5.1 (95% confidence interval, 4.9-5.3), whereas the adjusted relative risk was 1.6 (95% confidence interval, 1.5-1.8). For nontransfusion severe maternal morbidity among stillbirths vs live-birth deliveries, the crude relative risk was 7.4 (95% confidence interval, 7.0-7.7), whereas the adjusted relative risk was 2.0 (95% confidence interval, 1.8-2.3). This risk was not only elevated among individuals with stillbirth during the delivery hospitalization but also through 1 year after delivery (severe maternal morbidity adjusted relative risk, 1.3; 95% confidence interval, 1.1-1.4; nontransfusion severe maternal morbidity adjusted relative risk, 1.2; 95% confidence interval, 1.1-1.3).

CONCLUSION

Stillbirth was found to be an important contributor to severe maternal morbidity.

Severe Maternal Morbidity among Women in the U. S. Military, 2003-2015

OBJECTIVE

 This study aimed to assess trends and correlates of severe maternal morbidity at delivery among active duty women in the U.S. military, all of whom are guaranteed health care and full employment.

STUDY DESIGN

 Linked military personnel and medical encounter data from the Department of Defense Birth and Infant Health Research program were used to identify a cohort of delivery hospitalizations among active duty military women from January 2003 through August 2015. Cases of severe maternal morbidity were identified by applying 21- and 20-condition algorithms (with and without blood transfusion) developed by the Centers for Disease Control and Prevention. Rates (per 10,000 delivery hospitalizations) were reported overall and by specific condition. Multivariable Poisson regression models estimated associations with demographic, clinical, and military characteristics.

RESULTS

 Overall, 187,063 hospitalizations for live births were included for analyses. The overall 21- and 20-condition severe maternal morbidity rates were 111.7 (n = 2089) and 37.4 (n = 699) per 10,000 delivery hospitalizations, respectively. The 21-condition rate increased by 184% from 2003 to 2015; the 20-condition rate increased by 40%. Compared with non-Hispanic White women, the adjusted 21-condition rate of severe maternal morbidity was higher for Hispanic (adjusted rate ratio [aRR] = 1.28, 95% confidence interval [CI]: 1.13-1.46), non-Hispanic Black (aRR = 1.34, 95% CI: 1.21-1.49), Asian/Pacific Islander (aRR = 1.35, 95% CI: 1.13-1.61), and American Indian/Alaska Native (aRR = 1.39, 95% CI: 1.06-1.82) women. Rates also varied by age, clinical factors, and deployment history.

CONCLUSION

 Active duty U.S. military women experienced an increase in severe maternal morbidity from 2003 to 2015 that followed national trends, despite protective factors such as stable employment and universal health care. Similar to other populations, military women of color were at higher risk for severe maternal morbidity relative to non-Hispanic White military women. Continued surveillance and further investigation into maternal health outcomes are critical for identifying areas of improvement in the Military Health System.

KEY POINTS

· Cesarean delivery and multiple birth were the strongest correlates of severe maternal morbidity in this population.. · Racial disparities persisted across indicators of severe maternal morbidity.. · Rates of disseminated intravascular coagulation were higher than those reported nationally..

Maternal comorbidity index and severe maternal morbidity among medicaid covered pregnant women in a US Southern rural state

BACKGROUND

The rates of SMM have been steadily increasing in Arkansas, a southern rural state, which has the 5th highest maternal death rate among the US states. The aims of the study were to test the functionality of the Bateman index in association to SMM, in clustering the risks of pregnancies to SMM, and to study the predictability of SMM using the Bateman index.

STUDY DESIGN

From the ANGELS database, 72,183 pregnancies covered by Medicaid in Arkansas between 2013 and 2016 were included in this study. The expanded CDC ICD-9/ICD-10 criteria were used to identify SMM. The Bateman comorbidity index was applied in quantifying the comorbidity burden for a pregnancy. Multivariable logistic regressions, KMeans method, and five widely used predictive models were applied respectively for each of the study aims.

RESULTS

SMM prevalence remained persistently high among Arkansas women covered by Medicaid (195 per 10,000 deliveries) during the study period. Using the Bateman comorbidity index score, the study population was divided into four groups, with a monotonically increasing odds of SMM from a lower score group to a higher score group. The association between the index score and the occurrence of SMM is confirmed with statistical significance: relative to Bateman score falling in 0-1, adjusted Odds Ratios and 95% CIs are: 2.1 (1.78, 2.46) for score in 2-5; 5.08 (3.81, 6.79) for score in 6-9; and 8.53 (4.57, 15.92) for score ≥10. Noticeably, more than one-third of SMM cases were detected from the studied pregnancies that did not have any of the comorbid conditions identified. In the prediction analyses, we observed minimal predictability of SMM using the comorbidity index: the calculated c-statistics ranged between 62% and 67%; the Precision-Recall AUC values are <7% for internal validation and <9% for external validation procedures.

CONCLUSIONS

The comorbidity index can be used in quantifying the risk of SMM and can help cluster the study population into risk tiers of SMM, especially in rural states where there are disproportionately higher rates of SMM; however, the predictive value of the comorbidity index for SMM is inappreciable.

Association between Delivery during Off-Hours and the Risk of Severe Maternal Morbidity: A Nationwide Population-Based Cohort Study

This study evaluated the association between off-hour deliveries and the risk of severe maternal morbidity (SMM). Data regarding Korean deliveries between 2005 and 2019 obtained from the National Health Insurance Service were used. SMM was evaluated using an algorithm developed by the United States Centers for Disease Control and Prevention. Modified Poisson regression analyses were conducted to investigate the association between off-hour deliveries and SMM, with stratification by hospital region and the number of beds. Approximately 32.7% of the 3,076,448 nulliparous women in this study delivered during off-hours, including 2.6% who experienced SMM. Patients who delivered at night had the highest risk of SMM (weekday nights, adjusted risk ratio (aRR): 1.41, 95% confidence interval (CI): 1.38-1.44; weekend nights, OR: 1.40, 95% CI: 1.34-1.46). The SMM of night deliveries was higher at hospitals located in small cities and those with 100-499 beds (weekend night: small cities, aRR: 1.49, 95% CI: 1.40-1.59; 100-499 beds, aRR: 1.83, 95% CI: 1.67-2.01; weekday night: small cities, aRR: 1.46, 95% CI: 1.42-1.51; 100-499 beds, aRR: 1.70, 95% CI: 1.62-1.79). Therefore, nighttime deliveries are associated with a higher risk of SMM, especially at hospitals located in small cities and those with 100-499 beds.

A Difference-In Difference Analysis of the South Carolina 2015 Extreme Floods and the Association with Maternal Health

Research documenting the public health impacts of natural disasters often focuses on adults and children. Little research has examined the influence of extreme events, like floods, on maternal health, and less has examined the effect of disasters on maternal indicators like severe maternal morbidity (SMM) or unexpected outcomes of labor and delivery that result in significant short-or long-term consequences to a woman's health. The aim of this study is to identify the impacts of the 2015 flood events on maternal health outcomes in South Carolina, USA. We employ a quasi-experimental design using a difference-in-difference analysis with log-binomial regressions to evaluate maternal outcomes for impacted and control locations during the disaster event. Unlike previous studies, we extended our difference-in-difference analysis to include a trimester of exposure to assess the timing of flood exposure. We did not find evidence of statistically significant main effects on maternal health from the 2015 flood events related to preterm birth, gestational diabetes, mental disorders of pregnancy, depression, and generalized anxiety. However, we did find a statistically significant increase in SMM and low birth weight during the flood event for women in select trimester periods who were directly exposed. Our work provides new evidence on the effects of extreme flood events, like the 2015 floods, which can impact maternal health during specific exposure periods of pregnancy. Additional research is needed across other extreme weather events, as the unique context of the 2015 floods limits the generalizability of our findings.

The Predictive Value of Vital Signs for Morbidity in Pregnancy: Evaluating and Optimizing Maternal Early Warning Systems

OBJECTIVE

Vital sign scoring systems that alert providers of clinical deterioration prior to critical illness have been proposed as a means of reducing maternal risk. This study examined the predictive ability of established maternal early warning systems (MEWS)-as well as their component vital sign thresholds-for different types of maternal morbidity, to discern an optimal early warning system.

STUDY DESIGN

This retrospective cohort study analyzed all patients admitted to the obstetric services of a four-hospital urban academic system in 2018. Three sets of published MEWS criteria were evaluated. Maternal morbidity was defined as a composite of hemorrhage, infection, acute cardiac disease, and acute respiratory disease ascertained from the electronic medical record data warehouse and administrative data. The test characteristics of each MEWS, as well as for heart rate, blood pressure, and oxygen saturation were compared.

RESULTS

Of 14,597 obstetric admissions, 2,451 patients experienced the composite morbidity outcome (16.8%) including 980 cases of hemorrhage (6.7%), 1,337 of infection (9.2%), 362 of acute cardiac disease (2.5%), and 275 of acute respiratory disease (1.9%) (some patients had multiple types of morbidity). The sensitivities (15.3-64.8%), specificities (56.8-96.1%), and positive predictive values (22.3-44.5%) of the three MEWS criteria ranged widely for overall morbidity, as well as for each morbidity subcategory. Of patients with any morbidity, 28% met criteria for the most liberal vital sign combination, while only 2% met criteria for the most restrictive parameters, compared with 14 and 1% of patients without morbidity, respectively. Sensitivity for all combinations was low (maximum 28.2%), while specificity for all combinations was high, ranging from 86.1 to 99.3%.

CONCLUSION

Though all MEWS criteria demonstrated poor sensitivity for maternal morbidity, permutations of the most abnormal vital signs have high specificity, suggesting that MEWS may be better implemented as a trigger tool for morbidity reduction strategies in the highest risk patients, rather than a general screen.

KEY POINTS

· MEWS have poor sensitivity for maternal morbidity.. · MEWS can be optimized for high specificity using modified criteria.. · MEWS could be better used as a trigger tool..

Neighborhood gentrification, displacement, and severe maternal morbidity in California

Gentrification, a racialized and profit-driven process in which historically disinvested neighborhoods experience an influx of development that contributes to the improvement of physical amenities, increasing housing costs, and the dispossession and displacement of existing communities, may influence the risk of severe maternal morbidity (SMM). Leveraging a racially diverse population-based sample of all live hospital births in California between 2006 and 2017, we examined associations between neighborhood-level gentrification and SMM. SMM was defined as having one of 21 procedures and diagnoses, as described in the SMM index developed by Centers for Disease Control and Prevention. We compared three gentrification measures to determine which operationalization best captures aspects of gentrification most salient to SMM: Freeman, Landis 3-D, and Urban Displacement Project Gentrification and Displacement Typology. Descriptive analysis assessed bivariate associations between gentrification and birthing people's characteristics. Overall and race and ethnicity-stratified mixed-effects logistic models assessed associations between gentrification and SMM, adjusting for individual sociodemographic and pregnancy factors while accounting for clustering by census tract. The study sample included 5,256,905 births, with 72,718 cases of SMM (1.4%). The percentage of individuals living in a gentrifying neighborhood ranged from 5.7% to 11.7% across exposure assessment methods. Net of individual and pregnancy-related factors, neighborhood-level gentrification, as measured by the Freeman method, was protective against SMM (OR = 0.89, 95% CI: 0.86-0.93); in comparison, gentrification, as measured by the Gentrification and Displacement Typology, was associated with greater risk of SMM (OR = 1.18, 95% CI: 1.14-1.23). These associations were significant among non-Hispanic White, non-Hispanic Black, and Hispanic individuals. Findings demonstrate that gentrification plays a role in shaping the risk of SMM among birthing people in California. Differences in how gentrification is conceptualized and measured, such as an emphasis on housing affordability compared to a broader characterization of gentrification's multiple aspects, may explain the heterogeneity in the directions of observed associations.

Affordable Care Act Medicaid expansions and maternal morbidity

In this paper, we test whether the Affordable Care Act Medicaid expansions are associated with maternal morbidity. The ACA expansions may have affected maternal morbidity by increasing pre-conception access to health care, and by improving the quality of delivery care, through enhancing hospitals' financial positions. We use difference-in-difference models in conjunction with event studies. Data come from individual-level birth certificates and state-level hospital discharge data. The results show little evidence that the expansions are associated with overall maternal morbidity or indicators of specific adverse events including eclampsia, ruptured uterus, and unplanned hysterectomy. The results are consistent with prior research showing that the ACA Medicaid expansions are not statistically associated with pre-pregnancy health or maternal health during pregnancy. Our results add to this story and find little evidence of improvements in maternal health upon delivery.

Remapping racial and ethnic inequities in severe maternal morbidity: The legacy of redlining in California

BACKGROUND

Historical mortgage redlining, a racially discriminatory policy designed to uphold structural racism, may have played a role in producing the persistently elevated rate of severe maternal morbidity (SMM) among racialised birthing people.

OBJECTIVE

This study examined associations between Home-Owner Loan Corporation (HOLC) redlining grades and SMM in a racially and ethnically diverse birth cohort in California.

METHODS

We leveraged a population-based cohort of all live hospital births at ≥20 weeks of gestation between 1997 and 2017 in California. SMM was defined as having one of 21 procedures and diagnoses, per an index developed by Centers for Disease Control and Prevention. We characterised census tract-level redlining using HOLC's security maps for eight California cities. We assessed bivariate associations between HOLC grades and participant characteristics. Race and ethnicity-stratified mixed effects logistic regression models assessed the risk of SMM associated with HOLC grades within non-Hispanic Black, Asian/Pacific Islander, American Indian/Alaskan Native and Hispanic groups, adjusting for sociodemographic information, pregnancy-related factors, co-morbidities and neighbourhood deprivation index.

RESULTS

The study sample included 2,020,194 births, with 24,579 cases of SMM (1.2%). Living in a census tract that was graded as "Hazardous," compared to census tracts graded "Best" and "Still Desirable," was associated with 1.15 (95% confidence interval [CI] 1.03, 1.29) and 1.17 (95% CI 1.09, 1.25) times the risk of SMM among Black and Hispanic birthing people, respectively, independent of sociodemographic factors. These associations persisted after adjusting for pregnancy-related factors and neighbourhood deprivation index.

CONCLUSIONS

Historical redlining, a tool of structural racism that influenced the trajectory of neighbourhood social and material conditions, is associated with increased risk of experiencing SMM among Black and Hispanic birthing people in California. These findings demonstrate that addressing the enduring impact of macro-level and systemic mechanisms that uphold structural racism is a vital step in achieving racial and ethnic equity in birthing people's health.

Neighborhood disinvestment and severe maternal morbidity in the state of California

BACKGROUND

Social determinants of health, including neighborhood context, may be a key driver of severe maternal morbidity and its related racial and ethnic inequities; however, investigations remain limited.

OBJECTIVE

This study aimed to examine the associations between neighborhood socioeconomic characteristics and severe maternal morbidity, as well as whether the associations between neighborhood socioeconomic characteristics and severe maternal morbidity were modified by race and ethnicity.

STUDY DESIGN

This study leveraged a California statewide data resource on all hospital births at ≥20 weeks of gestation (1997-2018). Severe maternal morbidity was defined as having at least 1 of 21 diagnoses and procedures (eg, blood transfusion or hysterectomy) as outlined by the Centers for Disease Control and Prevention. Neighborhoods were defined as residential census tracts (n=8022; an average of 1295 births per neighborhood), and the neighborhood deprivation index was a summary measure of 8 census indicators (eg, percentage of poverty, unemployment, and public assistance). Mixed-effects logistic regression models (individuals nested within neighborhoods) were used to compare odds of severe maternal morbidity across quartiles (quartile 1 [the least deprived] to quartile 4 [the most deprived]) of the neighborhood deprivation index before and after adjustments for maternal sociodemographic and pregnancy-related factors and comorbidities. Moreover, cross-product terms were created to determine whether associations were modified by race and ethnicity.

RESULTS

Of 10,384,976 births, the prevalence of severe maternal morbidity was 1.2% (N=120,487). In fully adjusted mixed-effects models, the odds of severe maternal morbidity increased with increasing neighborhood deprivation index (odds ratios: quartile 1, reference; quartile 4, 1.23 [95% confidence interval, 1.20-1.26]; quartile 3, 1.13 [95% confidence interval, 1.10-1.16]; quartile 2, 1.06 [95% confidence interval, 1.03-1.08]). The associations were modified by race and ethnicity such that associations (quartile 4 vs quartile 1) were the strongest among individuals in the "other" racial and ethnic category (1.39; 95% confidence interval, 1.03-1.86) and the weakest among Black individuals (1.07; 95% confidence interval, 0.98-1.16).

CONCLUSION

Study findings suggest that neighborhood deprivation contributes to an increased risk of severe maternal morbidity. Future research should examine which aspects of neighborhood environments matter most across racial and ethnic groups.

Postpartum Hospital Readmissions With and Without Severe Maternal Morbidity Within 1 Year of Birth, Oregon, 2012-2017

Postpartum readmissions (PPRs) represent a critical marker of maternal morbidity after hospital childbirth. Most severe maternal morbidity (SMM) events result in a hospital admission, but most PPRs do not have evidence of SMM. Little is known about PPR and SMM beyond the first 6 weeks postpartum. We examined the associations of maternal demographic and clinical factors with PPR within 12 months postpartum. We categorized PPR as being with or without evidence of SMM to assess whether risk factors and timing differed. Using the Oregon All Payer All Claims database, we analyzed hospital births from 2012-2017. We used log-binomial regression to estimate associations between maternal factors and PPR. Our final analytical sample included 158,653 births. Overall, 2.6% (n = 4,141) of births involved at least 1 readmission within 12 months postpartum (808 (19.5% of PPRs) with SMM). SMM at delivery was the strongest risk factor for PPR with SMM (risk ratio (RR) = 5.55, 95% confidence interval (CI): 4.14, 7.44). PPR without SMM had numerous risk factors, including any mental health diagnosis (RR = 2.10, 95% CI: 1.91, 2.30), chronic hypertension (RR = 2.17, 95% CI: 1.85, 2.55), and prepregnancy diabetes (RR = 2.85, 95% CI: 2.47, 3.30), all which were on par with SMM at delivery (RR = 1.89, 95% CI: 1.49, 2.40).

The maternal health of American Indian and Alaska Native people: A scoping review

Indigenous people in the United States experience disadvantage in multiple domains of health. Yet, their maternal health receives limited research attention. With a focus on empirical research findings, we conduct a scoping review to address two questions: 1) what does the literature tell us about the patterns and prevalence of maternal mortality and morbidity of American Indian and Alaska Native (AI/AN) people? and 2) how do existing studies explain these patterns? A search of CINAHL, Embase and Medline yielded 4757 English-language articles, with 66 eligible for close review. Of these, few focused specifically on AI/AN people's maternal health. AI/AN people experience higher levels of maternal mortality and morbidity than non-Hispanic White people, with estimates that vary substantially across samples and geography. Explanations for the maternal health of AI/AN people focused on individual factors such as poverty, cultural beliefs, and access to healthcare (e.g. lack of insurance). Studies rarely addressed the varied historical and structural contexts of AI/AN tribal nations, such as harms associated with colonization and economic marginalization. Research for and by Indigenous communities and nations is needed to redress the effective erasure of AI/AN people's maternal health experiences and to advance solutions that will promote their health and well-being.

Advanced maternal age and severe maternal morbidity in South Korea: a population-based cohort study

To investigate the association between maternal age and severe maternal morbidity (SMM) in a Korean population. Data for cases of delivery between 2003 and 2019 were extracted from the Korean National Health Insurance Service-National Delivery Cohort. The main outcome was SMM, which was determined using the Center for Disease Control and Prevention's algorithm. A generalized estimating equation model with a log link was performed for the relationship between SMM and maternal age adjusted for covariates. SMM occurred in 40,959/2,113,615 (1.9%) of delivery cases. Teenagers and women 35 years and older had an increased risk of SMM in both nulliparous and multiparous cases (ages 15-19: risk ratio (RR) 1.32, 95% confidence interval (CI) 1.15-1.46; ages 35-39: RR 1.24, 95% CI 1.21-1.28; ages 40-44: RR 1.57, 95% CI 1.50-1.64; and ages 45 or older: RR 2.07, 95% CI 1.75-2.44). Women aged 40 years and older had the highest rates of SMM. In singleton births as well as in nulliparous and multiparous cases, teenagers and women aged 35 years and older had a particularly high risk of SMM. Identifying and managing risk factors for SMM in these vulnerable age groups may improve maternal health outcomes.

Risk factors and pregnancy outcomes vary among Asian American, Native Hawaiian, and Pacific Islander individuals giving birth in California

OBJECTIVE

To compare frequencies of risk factors and pregnancy outcomes in ethnic groups versus the combined total of Asian American, Native Hawaiian, and Pacific Islander (AANHPI) populations.

METHODS

Using linked birth and fetal death certificate and maternal hospital discharge data (California 2007-2018), we estimated frequencies of 15 clinical and sociodemographic exposures and 11 pregnancy outcomes. Variability across 15 AANHPI groups was compared using a heat map and compared to frequencies for the total group (n = 904,232).

RESULTS

AANHPI groups varied significantly from each other and the combined total regarding indicators of social disadvantage (e.g., range for high school-level educational or less: 6.4% Korean-55.8% Samoan) and sociodemographic factors (e.g., maternal age <20 years: 0.2% Chinese-8.8% Guamanian) that are related to adverse pregnancy outcomes. Perinatal outcomes varied significantly (e.g., severe maternal morbidity: 1.2% Korean-1.9% Filipino). No single group consistently had risk factors or outcome prevalence at the extremes, i.e., no group was consistently better or worse off across examined factors.

CONCLUSIONS

Substantial variability in perinatal risk factors and outcomes exists across AANHPI groups. Aggregation into "AANHPI" is not appropriate for outcome reporting.

Maternal early warning criteria predict postpartum severe maternal morbidity and mortality after delivery hospitalization discharge: a case-control study

BACKGROUND

The predictors of postpartum severe maternal morbidity and mortality have not been well-described using patient-level data.

OBJECTIVE

This study aimed to evaluate the application of maternal early warning criteria in the postpartum period and generate a preliminary predictive model for severe maternal morbidity and mortality occurring after delivery hospitalization discharge until 42 days postpartum.

STUDY DESIGN

A retrospective case-control study was conducted from January 2013 to September 2020. Cases were identified from electronic medical records using the International Classification of Diseases, Tenth Revision codes for Centers for Disease Control and Prevention-defined severe maternal morbidity. Patients meeting the criteria for severe maternal morbidity and mortality from delivery hospitalization discharge until 42 days postpartum were matched for delivery hospital and year with the controls in an approximate 1:2 fashion. The objective was to identify the demographic and clinical risk factors during the antepartum through postpartum periods for postpartum severe maternal morbidity and mortality. Multivariable logistic regression was performed to estimate the risks, and a receiver operating characteristic curve was derived to evaluate the model.

RESULTS

Ninety cases of postpartum severe maternal morbidity and mortality that occurred following delivery hospitalization discharge were identified. These were matched with 175 controls. Women with postpartum severe maternal morbidity and mortality had more postpartum assessments (mean: 1.7 vs 1.4, P=.005) and a higher frequency of maternal early warning criteria (58% [52/90] vs 2% [3/175]; P<.001) preceding the diagnosis of severe maternal morbidity and mortality than controls. Black women had higher odds of postpartum severe maternal morbidity and mortality than White women (odds ratio, 1.93; 95% confidence interval, 1.14-3.27). Women with maternal early warning criteria during postpartum assessments were more likely to experience subsequent postpartum severe maternal morbidity and mortality (odds ratio, 67.2; 95% confidence interval, 21.3-211.6) than women with no maternal early warning criteria. Although the point estimate was different in Black women (odds ratio, 161.8; 95% confidence interval, 8.9 to >999) than White women (odds ratio, 47.9; 95% confidence interval, 13.8-167.1), the effect modification between the maternal early warning criteria and race was not statistically significant (P=.93). In a multivariable model, race, body mass index, cesarean delivery, and maternal early warning criteria at postpartum assessments were associated with subsequent severe maternal morbidity and mortality, with an area under the curve of 0.905 (95% confidence interval, 0.864-0.946).

CONCLUSION

Maternal early warning criteria are associated with increased odds of postpartum severe maternal morbidity and mortality. A straightforward model that includes race, body mass index, cesarean delivery, and presence of maternal early warning criteria appears to be a promising tool to identify those at risk for postpartum severe maternal morbidity and mortality following delivery hospitalization discharge. This is an important first step in improving the ability to recognize and respond to conditions preceding postpartum severe maternal morbidity. These findings should be validated in a prospective cohort.

Effects of assisted reproductive technology on severe maternal morbidity risk in both singleton and multiple births in Korea: A nationwide population-based cohort study

BACKGROUND

Whether infertility treatment predicts severe maternal morbidity in both singleton and twin pregnancies is controversial. We conducted this nationwide population-based cohort study to compare pregnancies conceived through assisted reproductive technology treatments, such as intrauterine insemination or in vitro fertilization, with unassisted pregnancies.

METHODS

This study included 269,930 women who experienced childbirth in 2018, using data of the National Health Insurance Service National Delivery Cohort in Korea. The primary outcome was assessed using a severe maternal morbidity algorithm developed by the Centers for Disease Control and Prevention in the United States. A modified Poisson regression was used to estimate the adjusted risk ratio of severe maternal morbidity.

RESULTS

Severe maternal morbidity occurred in 6,333 (2.3%) of 280,612 deliveries investigated. The risk of severe maternal morbidity was approximately 1.5-fold higher among women who received in vitro fertilization (risk ratio: 1.51, 95% confidence interval: 1.36-1.68) than among fertile women. However, no significant association between intrauterine insemination and maternal morbidity was identified. Via subgroup analysis, in vitro fertilization increased the risk of severe maternal morbidity by 1.6- and 1.3-fold in singleton and multiple births, respectively (singleton: risk ratio: 1.62, 95% confidence interval: 1.43-1.83; multiple birth: risk ratio: 1.31, 95% confidence interval: 1.07-1.60).

CONCLUSIONS

This study suggested that in vitro fertilization was associated with the risk of severe maternal morbidity in both singleton and multiple births. Further research should identify patient- and treatment-specific factors that may mitigate or prevent adverse maternal health risks.

A Prospective Study of Severe Acute Maternal Morbidity and Maternal Near Miss in a Tertiary Care Hospital

Background

The identification of severe cases of maternal morbidity has emerged as an approach to mitigating maternal deaths. The main objective of the study was to analyse the causes of (severe acute maternal morbidity) SAMM and maternal (near miss) NM among pregnant women and the associated risk factors.

Methods

The study was conducted on pregnant women (n = 300) who were diagnosed as SAMM (n = 269) and NM (n = 31). Patient details including age, parity, gestational age at admission, antenatal history, morbidity conditions, mode of delivery, and ICU admission with life-saving medical and surgical interventions were recorded. Multinomial logistic regression analysis was performed to assess the risk factors associated with SAMM and NM.

Results

The most common cause of maternal death was hemorrhage. The maternal NM incidence ratio was 11.58/1000 live births, maternal NM mortality ratio was 2.5:1, and the mortality index was 3.8% with SAMM and NM and 27% with life-threatening complications.Women with low education status, multiparity, third trimester and postpartum period, suboptimal antenatal visits, and a lack of awareness were at increased risk of SAMM and NM.

Conclusion

This study adds on to the existing knowledge of SAMM and NM highlighting the need of early diagnosis and need of overall improvement in quality critical care management for maternal health and its timely accessibility to substantially reduce maternal deaths. Active management of third-stage of labor, early recognition and emergency management of severe hypertension widely contribute toward reducing the number of both SAMM and NM.

Women's Health: Population Patterns and Social Determinants

Women's health, and what we know about it, are influenced by social factors. From the exclusion of women's bodies in medical research, to the silence and stigma of menstruation and menopause, to the racism reflected in maternal mortality, the relevance of social factors is paramount. After a brief history of research on women's health, we review selected patterns, trends, and inequalities in US women's health. These patterns reveal US women's poor and declining longevity relative to those in other high-income countries, gaps in knowledge about painful and debilitating conditions that affect millions of women, and deep inequalities that underscore the need to redress political and structural features of US society that enhance health for some and diminish it for others. We close by describing the challenges and opportunities for future research, and the promise of a social determinants of health approach for advancing a multilevel, intersectional, and biosocial understanding of women's health.

The Prevalence and Risk Factors for Severe Maternal Morbidities: A Systematic Review and Meta-Analysis

Introduction

Maternal mortality and severe maternal morbidity remain major public health problems globally. Understanding their risk factors may result in better treatment solutions and preventive measures for maternal health. This review aims to identify the prevalence and risk factors of severe maternal morbidity (SMM) and maternal near miss (MNM).

Methods

A systematic review and meta-analysis was conducted to assess the prevalence and risk factors of SMM and MNM. The study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A systematic search was performed in the MEDLINE (PubMed), CINAHL (EBSCOhost), and Science Direct databases for articles published between 2011 and 2020.

Results

Twenty-four of the 44 studies included were assessed as being of good quality and having a low risk of bias. The prevalence of SMM and MNM was 2.45% (95% CI: 2.03, 2.88) and 1.68% (95% CI: 1.42, 1.95), respectively. The risk factors for SMM included history of cesarean section (OR [95% CI]: 1.63 [1.43, 1.87]), young maternal age (OR [95% CI]: 0.71 [0.60, 0.83]), singleton pregnancy (OR [95% CI]: 0.42 [0.32, 0.55]), vaginal delivery (OR [95% CI]: 0.11 [0.02, 0.47]), coexisting medical conditions (OR [95% CI]: 1.51 [1.28, 1.78]), and preterm gestation (OR [95% CI]: 0.14 [0.08, 0.23]). The sole risk factor for MNM was a history of cesarean section (OR [95% CI]: 2.68 [1.41, 5.10]).

Conclusions

Maternal age, coexisting medical conditions, history of abortion and cesarean delivery, gestational age, parity, and mode of delivery are associated with SMM and MNM. This helps us better understand the risk factors and their strength of association with SMM and MNM. Thus, initiatives such as educational programs, campaigns, and early detection of risk factors are recommended. Proper follow-up is important to monitor the progression of maternal health during the antenatal and postnatal periods.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021226137, identifier: CRD42021226137.

Antepartum severe maternal morbidity: A population-based study of risk factors and delivery outcomes

BACKGROUND

Severe maternal morbidity (SMM) is a key indicator of maternal health. Generally explored without distinction by the timing of the event, it mainly reflects postpartum SMM. Although antepartum (pre-labour) SMM presents specific challenges in its need to optimise the risk-benefit balance for both mother and foetus, its features remain inadequately explored.

OBJECTIVES

We explored risk factors of antepartum SMM and described adverse delivery and neonatal outcomes associated with antepartum SMM.

METHODS

We designed a population-based nested case-control study based on data from the EPIMOMS study (119 maternity hospitals of 6 French regions, 2012-2013, N = 182,309 deliveries in the source cohort). This study included all women with antepartum SMM (cases, n = 601) compared to a randomly selected sample of women who gave birth without SMM in the same hospitals (controls, n = 3651). Antepartum SMM risk factors were identified with multivariable logistic regression following imputations for missing data.

RESULTS

Antepartum SMM complicated 0.33% (95% confidence interval [CI] 0.30, 0.36) of pregnancies. Antepartum SMM risk factors were maternal age ≥35 years (adjusted odds ratio [OR] 1.55, 95% CI 1.22, 1.97), increased body mass index (OR for 5 kg/m² increase, 1.24, 95% CI 1.14, 1.36), maternal birth in sub-Saharan Africa (OR 1.80, 95% CI 1.29, 2.53), pre-existing medical condition (OR 2.56, 95% CI 1.99, 3.30), nulliparity (OR 2.26, 95% CI 1.83, 2.80), previous pregnancy-related hypertensive disorders (OR 4.94, 95% CI 3.36, 7.26), multiple pregnancy (OR 5.79, 95% CI 3.75, 7.26), irregular prenatal care (OR 1.86, 95% CI 1.27, 2.72). For women with antepartum SMM, preterm delivery, neonatal mortality and transfer to the neonatal intensive care unit were 10 times more frequent than for controls. Emergency caesarean and general anaesthesia were more frequent in women with antepartum SMM.

CONCLUSIONS

Antepartum SMM is rare but associated with increased rates of adverse delivery and neonatal outcomes.

Obstetrical and Perinatal Outcomes in Female Survivors of Childhood and Adolescent Cancer: A Population-Based Cohort Study

BACKGROUND

The likelihood of pregnancy and risk of obstetrical or perinatal complications is inadequately documented in female survivors of pediatric cancer.

METHODS

We assembled a population-based cohort of female survivors of cancer diagnosed at age 21 years and younger in Ontario, Canada, between 1985 and 2012. Survivors were matched 1:5 to women without prior cancer. Multivariable Cox proportional hazards and modified Poisson models assessed the likelihood of a recognized pregnancy and perinatal and maternal complications.

RESULTS

A total of 4062 survivors were matched to 20 308 comparisons. Median (interquartile range) age was 11 (4-15) years at cancer diagnosis and 25 (19-31) years at follow-up. By age 30 years, the cumulative incidence of achieving a recognized pregnancy was 22.3% (95% confidence interval [CI] = 20.7% to 23.9%) among survivors vs 26.6% (95% CI = 25.6% to 27.3%) among comparisons (hazard ratio = 0.80, 95% CI = 0.75 to 0.86). A lower likelihood of pregnancy was associated with a brain tumor, alkylator chemotherapy, cranial radiation, and hematopoietic stem cell transplantation. Pregnant survivors were as likely as cancer-free women to carry a pregnancy >20 weeks (relative risk [RR] = 1.01, 95% CI = 0.98 to 1.04). Survivors had a higher relative risk of severe maternal morbidity (RR = 2.31, 95% CI = 1.59 to 3.37), cardiac morbidity (RR = 4.18, 95% CI = 1.89 to 9.24), and preterm birth (RR = 1.57, 95% CI = 1.29 to 1.92). Preterm birth was more likely in survivors treated with hematopoietic stem cell transplantation (allogenic: RR = 8.37, 95% CI = 4.83 to 14.48; autologous: RR = 3.72, 95% CI = 1.66 to 8.35).

CONCLUSIONS

Survivors of childhood or adolescent cancer are less likely to achieve a pregnancy and, once pregnant, are at higher risk for severe maternal morbidity and preterm birth.

Pregnancy health and perinatal outcomes among Pacific Islander women in the United States and US Affiliated Pacific Islands: Protocol for a scoping review

This scoping review examines the literature on pregnancy and perinatal outcomes among Pacific Islander women in the United States (U.S.) and U.S.-affiliated Pacific Islands. Our aim was to identify research that disaggregated Pacific Islanders from other population groups. We conducted a systematic search of MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCO), and PsycINFO (Ovid) databases and a hand-search of grey literature. Forty-eight articles published between January 2010 and June 2020 were included. The majority of studies were conducted in Hawaii and utilized clinical record data. Infant outcomes were more commonly reported than maternal outcomes. We highlighted several limitations of the existing literature that included aggregation of Pacific Islanders with Asian American and other ethnic groups; limited comparison between Pacific Islander sub-groups; inadequate definitions of the nationality and ethnic composition of Pacific Islander groups; a lack of hypothesis-driven primary data collection and clinical trials; and underrepresentation of Pacific Islanders in population-based studies. Researchers should address these limitations to improve pregnancy and perinatal outcomes among Pacific Islanders, who comprise the second fastest growing ethnic minority in the U.S.

Morbidity of late-season influenza during pregnancy

BACKGROUND

In the Northern Hemisphere, influenza season typically starts in December and lasts through March. Pregnant people are at increased risk for influenza-related morbidity and mortality. Potentially, new viral strains or reduced provider suspicion leading to delayed diagnosis of late-season influenza could result in an increased risk of severe infection.

OBJECTIVE

This study aimed to assess the incidence and morbidity associated with late-season influenza in pregnancy, compared with influenza in other seasons.

STUDY DESIGN

This was a retrospective cohort study using the 2007-2018 National Inpatient Sample. Pregnant patients with discharge diagnosis codes consistent with influenza infection were compared on the basis of hospital admission quarter (quarter 1: October to December; quarter 2: January to March; quarter 3: April to June; quarter 4: July to September), with quarter 3 defined as "late-season." The primary outcome was the severe maternal morbidity composite defined by the Centers for Disease Control and Prevention. The secondary outcomes included sepsis, shock, acute renal failure, acute heart failure, temporary tracheostomy, and invasive mechanical ventilation. Associations between outcomes and quarter of infection were adjusted for age, hospitalization type (antepartum, delivery, or postpartum), and comorbid conditions using relative risk regression, weighted to reflect the National Inpatient Sample design.

RESULTS

Of 7355 hospitalizations, corresponding to a weighted national estimate of 36,042, 2266 (30.8%) occurred in quarter 1, 4051 (55.0%) in quarter 2, 633 (8.6%) in quarter 3, and 405 (5.5%) in quarter 4. A nonsignificant trend toward higher rates of severe maternal morbidity was seen in the "late-season" compared with other quarters (13.9% [quarter 3] vs 10.5% [quarter 1] vs 12.1% [quarter 2] vs 13.6% [quarter 4]; P=.07). Moreover, sepsis was more common in patients with late-season influenza (8.0% [quarter 3] vs 4.8% [quarter 1] vs 5.8% [quarter 2] vs 5.9% [quarter 4]; P=.03). In the adjusted analyses, patients with late-season influenza had a 1.34 (95% confidence interval, 1.01-1.78) higher risk of severe maternal morbidity and 1.57 (95% confidence interval, 1.06-2.32) higher risk of sepsis than patients with influenza in quarter 1.

CONCLUSION

Influenza infection between April and June, that is, late-season influenza, is associated with a higher risk of severe maternal morbidity and sepsis in pregnant patients. Obstetrical providers must continue to have awareness and suspicion for influenza infection during these months.

Severe maternal morbidity and its associated factors: A cross-sectional study in Morang district, Nepal

BACKGROUND

Understanding maternal morbidity and its determinants can help identify opportunities to prevent obstetric complications and improvements for maternal health. This study was conducted to determine the prevalence of severe maternal morbidity (SMM) and the associated factors.

METHODS

A hospital-based cross-sectional study was conducted at Koshi Hospital, Nepal, from January to March 2020. All women who met the inclusion criteria of age ≥18 years of age, Morang residents of Nepalese nationality, had received routine antenatal care, and given birth at Koshi Hospital were recruited consecutively. The World Health Organization criteria were used to identify the women with SMM. A multiple logistic regression analysis was performed. Overall, 346 women were recruited.

FINDINGS

The prevalence of SMM was 6.6%. Among the SMM cases, the most frequently occurring SMM conditions were hypertensive disorders (12, 56.5%), hemorrhagic disorders (6, 26.1%), and severe management indicators (8, 34.8%). Women with no or primary education (adjusted odds ratio: 0.10, 95% confidence interval: 0.01, 0.76) decreased the odds of SMM compared to secondary education.

CONCLUSION

The approximately 7% prevalence of SMM correlated with global studies. Maternal education was significantly associated with SMM. If referral hospitals were aware of the expected prevalence of potentially life-threatening maternal conditions, they could plan to avert future reproductive complications.

Long and short interpregnancy intervals increase severe maternal morbidity

BACKGROUND

Severe maternal morbidity is a composite variable that includes adverse maternal outcomes during pregnancy that are associated with maternal mortality. Previous literature has shown that interpregnancy interval is associated with preterm birth, fetal growth restriction, and low birthweight, but the association of interpregnancy interval and composite severe maternal morbidity is not well studied.

OBJECTIVE

We sought to determine the relationship between interpregnancy interval (stratified as <6, 6-11, 12-17, 18-23, 24-59, and ≥60 months) and severe maternal morbidity, which we considered both with and without blood transfusion.

STUDY DESIGN

This was a retrospective cohort study of multiparous women 15 to 54 years old with singleton, nonanomalous births between 23 and 42 weeks gestation in California (2007-2012). We defined severe maternal morbidity as the composite score of a published list of the International Classification of Diseases, ninth Revision, diagnoses and procedure codes, provided by the Centers for Disease Control and Prevention. We used chi-square tests for categorical variables, and multivariable logistic regression models were used to determine the association of interpregnancy interval (independent variable) with severe maternal morbidity (dependent variable), adjusted for maternal race and ethnicity, age, education, body mass index, insurance, prenatal care, smoking status, and maternal comorbidity index score.

RESULTS

Here, 1,669,912 women met the inclusion criteria, and of these women, 14,529 (0.87%) had severe maternal morbidity and 4712 (0.28%) had nontransfusion severe maternal morbidity. Multivariable logistic regression models showed that compared with women with 18 to 23 months interpregnancy interval, women with an interpregnancy interval of <6 months (adjusted odds ratio, 1.23; 95% confidence interval, 1.14-1.34) and ≥60 months (adjusted odds ratio, 1.11; 95% confidence interval, 1.04-1.19) had significantly higher adjusted odds of severe maternal morbidity. The odds of nontransfusion severe maternal morbidity is higher in women with long interpregnancy intervals (≥60 months) after controlling for the same potential confounders (adjusted odds ratio, 1.17, 95% confidence interval, 1.04-1.31). In addition, we found significantly higher odds of requiring ventilation (adjusted odds ratio, 1.34; 95% confidence interval, 1.03-1.75) and maternal sepsis (adjusted odds ratio, 2.08; 95% confidence interval, 1.31-3.31) in women with long interpregnancy interval.

CONCLUSION

The risk of severe maternal morbidity was higher in women with short interpregnancy interval (<6 months) and long interpregnancy interval (≥60 months) compared with women with normal interpregnancy interval (18-23 months). The risk of nontransfusion severe maternal morbidity was significantly higher in women with long interpregnancy interval (≥60 months). Interpregnancy interval is a modifiable risk factor, and counseling women to have an adequate gap between pregnancies may be an important strategy to decrease the risk of severe maternal morbidity.

Hospital Quality of Care and Racial and Ethnic Disparities in Unexpected Newborn Complications

OBJECTIVES

To investigate racial and ethnic differences in unexpected, term newborn morbidity and the influence of hospital quality on disparities.

METHODS

We used 2010-2014 birth certificate and discharge abstract data from 40 New York City hospitals in a retrospective cohort study of 483 834 low-risk (term, singleton, birth weight ≥2500 g, without preexisting fetal conditions) neonates. We classified morbidity according to The Joint Commission's unexpected newborn complications metric and used multivariable logistic regression to compare morbidity risk among racial and ethnic groups. We generated risk-standardized complication rates for each hospital using mixed-effects logistic regression to evaluate quality, ranked hospitals on this measure, and assessed differences in the racial and ethnic distribution of births across facilities.

RESULTS

The unexpected complications rate was 48.0 per 1000 births. Adjusted for patient characteristics, morbidity risk was higher among Black and Hispanic infants compared with white infants (odds ratio: 1.5 [95% confidence interval 1.3-1.9]; odds ratio: 1.2 [95% confidence interval 1.1-1.4], respectively). Among the 40 hospitals, risk-standardized complications ranged from 25.3 to 162.8 per 1000 births. One-third of Black and Hispanic women gave birth in hospitals ranking in the highest-morbidity tertile, compared with 10% of white and Asian American women (P < .001).

CONCLUSIONS

Black and Hispanic women were more likely to deliver in hospitals with high complication rates than were white or Asian American women. Findings implicate hospital quality in contributing to preventable newborn health disparities among low-risk, term births. Quality improvement targeting routine obstetric and neonatal care is critical for equity in perinatal outcomes.

Contribution of Prepregnancy Obesity to Racial and Ethnic Disparities in Severe Maternal Morbidity

OBJECTIVE

To evaluate the role of prepregnancy obesity as a mediator in the association between race-ethnicity and severe maternal morbidity.

METHODS

We conducted an analysis on a population-based retrospective cohort study using 2010-2014 birth records linked with hospital discharge data in New York City. A multivariable logistic regression mediation model on a subgroup of the sample consisting of normal-weight and obese women (n=409,021) calculated the mediation effect of obesity in the association between maternal race-ethnicity and severe maternal morbidity, and the residual effect not mediated by obesity. A sensitivity analysis was conducted excluding the severe maternal morbidity cases due to blood transfusion.

RESULTS

Among 591,455 live births, we identified 15,158 cases of severe maternal morbidity (256.3/10,000 deliveries). The severe maternal morbidity rate among obese women was higher than that of normal-weight women (342 vs 216/10,000 deliveries). Black women had a severe maternal morbidity rate nearly three times higher than White women (420 vs 146/10,000 deliveries) and the severe maternal morbidity rate among Latinas was nearly twice that of White women (285/10,000 deliveries). Among women with normal or obese body mass index (BMI) only (n=409,021), Black race was strongly associated with severe maternal morbidity (adjusted odds ratio [aOR] 3.02, 95% CI 2.88-3.17) but the obesity-mediated effect represented only 3.2% of the total association (aOR 1.03, 95% CI 1.02-1.05). Latina ethnicity was also associated with severe maternal morbidity (aOR 2.01, 95% CI 1.90-2.12) and the obesity-mediated effect was similarly small: 3.4% of the total association (aOR 1.02, 95% CI 1.01-1.03). In a sensitivity analysis excluding blood transfusion, severe maternal morbidity cases found a higher mediation effect of obesity in the association with Black race and Latina ethnicity (15.3% and 15.2% of the total association, respectively).

CONCLUSION

Our findings indicate that prepregnancy obesity, a modifiable factor, is a limited driver of racial-ethnic disparities in overall severe maternal morbidity.

Risk of Severe Maternal Morbidity After Bariatric Surgery: Retrospective Cohort Study

OBJECTIVE

We assessed whether bariatric surgery before pregnancy lowers the risk of severe maternal morbidity to a level comparable to no obesity.

SUMMARY OF BACKGROUND DATA

Obesity is a risk factor for severe maternal morbidity, but the potential for bariatric surgery to reduce the risk has not been studied.

METHODS

We analyzed a retrospective cohort of 2,412,075 deliveries between 1989 and 2019 in Quebec, Canada. The main exposure measures were bariatric surgery before pregnancy and obesity without bariatric surgery, compared with no obesity. The outcome was severe maternal morbidity, a composite of life-threatening pregnancy complications. We estimated risk ratios (RR) and 95% confidence intervals (CI) for the association between bariatric surgery and severe maternal morbidity, adjusted for maternal characteristics.

RESULTS

A total of 2654 deliveries (0.1%) were in women who had bariatric surgery, and 70,041 (29.0 per 1000) were in women who had severe maternal morbidity. Risk of severe maternal morbidity was not significantly elevated for bariatric surgery (RR 1.20; 95% CI 0.98-1.46), but was greater for obesity compared with no obesity (RR 1.60; 95% CI 1.55-1.64). Bariatric surgery was not associated with morbidities such as severe preeclampsia, sepsis, and cardiac complications compared with no obesity, but obesity was associated with elevated risks of these and other severe morbidities. Bariatric surgery was associated, however, with intensive care unit admission, compared with no obesity.

CONCLUSIONS

Pregnant women with prior bariatric surgery have similar risks as nonobese women for most types of severe maternal morbidity, except for intensive care unit admission.

Risk of Uterine Rupture with Vaginal Birth after Cesarean in Twin Gestations

BACKGROUND

Women with a previous cesarean delivery may attempt a subsequent vaginal birth or repeat cesarean. Vaginal birth after cesarean carries a greater risk of uterine rupture, defined as the disruption of all uterine layers, resulting in maternal-fetal morbidity or mortality. It is unclear how the risk of uterine rupture compares in patients with twin gestations who undergo different delivery methods.

OBJECTIVE

The purpose of this systematic review is to determine if there is an increased risk of uterine rupture in patients with twin gestations attempting vaginal birth after cesarean (VBAC) versus planned repeat cesarean delivery (PRCD). Study Design. PubMed, Cochrane Library, and CINAHL were searched systematically. Eligible studies were prospective and retrospective studies that evaluated the incidence of uterine rupture in twin pregnancies that attempted VBAC or PRCD. Data were manually extracted from these studies, and the number of events in each group was used to calculate an odds ratio (OR) and 95% confidence interval (CI).

RESULTS

4 retrospective studies were included with a total of 7699 participants, 2305 of whom attempted VBAC and 5394 underwent PRCD. The absolute risk of uterine rupture in the VBAC and PRCD groups was 0.87% and 0.09%, respectively. The rate of uterine rupture was significantly higher in the VBAC group than in the PRCD group (OR: 9.43; CI: 3.54-25.17).

CONCLUSION

Although VBAC is associated with higher rates of uterine rupture in twin pregnancies when compared with PRCD, the absolute risk of uterine rupture is low in both groups. Depending on individual risk factors, vaginal birth may be offered as a safe option to women with twin pregnancies and a history of cesarean delivery.

Severe maternal morbidity and Black-white differences in Washington State

OBJECTIVE

Rates of severe maternal morbidity (SMM) are significantly higher among Black women and some data suggests further worsening of these rates among hospitals with the highest proportion of Black deliveries. In this study, we sought to examine whether Black women have higher SMM in Washington State and whether this varied by hospital.

METHODS

We conducted a retrospective cohort study using linked birth-hospital discharge data from Washington State. We compared Non-Hispanic Black women with Non-Hispanic white women and excluded observations with missing hospital information. SMM was defined using an already published algorithm. We ranked hospitals into low-, medium- and high Black-serving hospitals by using proportions of deliveries to Black women among all deliveries. Multivariable logistic regression models were used to examine the association of Black women with SMM adjusted for demographics, co-morbidities and clustering within hospital.

RESULTS

In the cohort of 407,808 women, 4556 (1.12%) had SMM. High Black-serving hospitals had the highest rate of SMM (1.94%) as compared to medium Black-serving hospitals (1.16%) and low Black-serving hospitals (1.06%) (p < .01). Odds of SMM was higher in Black women (OR = 1.58, 95% CI: 1.39-1.78) and remained elevated after adjusting for demographics and the level of Black-serving hospital (aOR= 1.29, 95% CI: 1.11-1.49).

CONCLUSION

We found that the risk of SMM was higher among Black women. Hospital level performance and health outcomes stratified by maternal race and ethnicity in hospitals and hospital systems should be addressed to further reduce disparities and optimize outcomes.

Birth hospital and racial and ethnic differences in severe maternal morbidity in the state of California

BACKGROUND

Birth hospital has recently emerged as a potential key contributor to disparities in severe maternal morbidity, but investigations on its contribution to racial and ethnic differences remain limited.

OBJECTIVE

We leveraged statewide data from California to examine whether birth hospital explained racial and ethnic differences in severe maternal morbidity.

STUDY DESIGN

This cohort study used data on all births at ≥20 weeks gestation in California (2007-2012). Severe maternal morbidity during birth hospitalization was measured using the Centers for Disease Control and Prevention index of having at least 1 of the 21 diagnoses and procedures (eg, eclampsia, blood transfusion, hysterectomy). Mixed-effects logistic regression models (ie, women nested within hospitals) were used to compare racial and ethnic differences in severe maternal morbidity before and after adjustment for maternal sociodemographic and pregnancy-related factors, comorbidities, and hospital characteristics. We also estimated the risk-standardized severe maternal morbidity rates for each hospital (N=245) and the percentage reduction in severe maternal morbidity if each group of racially and ethnically minoritized women gave birth at the same distribution of hospitals as non-Hispanic white women.

RESULTS

Of the 3,020,525 women who gave birth, 39,192 (1.3%) had severe maternal morbidity (2.1% Black; 1.3% US-born Hispanic; 1.3% foreign-born Hispanic; 1.3% Asian and Pacific Islander; 1.1% white; 1.6% American Indian and Alaska Native, and Mixed-race referred to as Other). Risk-standardized rates of severe maternal morbidity ranged from 0.3 to 4.0 per 100 births across hospitals. After adjusting for covariates, the odds of severe maternal morbidity were greater among nonwhite women than white women in a given hospital (Black: odds ratio, 1.25; 95% confidence interval, 1.19-1.31); US-born Hispanic: odds ratio, 1.25; 95% confidence interval, 1.20-1.29; foreign-born Hispanic: odds ratio, 1.17; 95% confidence interval, 1.11-1.24; Asian and Pacific Islander: odds ratio, 1.26; 95% confidence interval, 1.21-1.32; Other: odds ratio, 1.31; 95% confidence interval, 1.15-1.50). Among the studied hospital factors, only teaching status was associated with severe maternal morbidity in fully adjusted models. Although 33% of white women delivered in hospitals with the highest tertile of severe maternal morbidity rates compared with 53% of Black women, birth hospital only accounted for 7.8% of the differences in severe maternal morbidity comparing Black and white women and accounted for 16.1% to 24.2% of the differences for all other racial and ethnic groups.

CONCLUSION

In California, excess odds of severe maternal morbidity among racially and ethnically minoritized women were not fully explained by birth hospital. Structural causes of racial and ethnic disparities in severe maternal morbidity may vary by region, which warrants further examination to inform effective policies.

A scoping review of severe maternal morbidity: describing risk factors and methodological approaches to inform population-based surveillance

Background

Current interest in using severe maternal morbidity (SMM) as a quality indicator for maternal healthcare will require the development of a standardized method for estimating hospital or regional SMM rates that includes adjustment and/or stratification for risk factors.

Objective

To perform a scoping review to identify methodological considerations and potential covariates for risk adjustment for delivery-associated SMM.

Search methods

Following the guidelines for Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews, systematic searches were conducted with the entire PubMed and EMBASE electronic databases to identify publications using the key term “severe maternal morbidity.”

Selection criteria

Included studies required population-based cohort data and testing or adjustment of risk factors for SMM occurring during the delivery admission. Descriptive studies and those using surveillance-based data collection methods were excluded.

Data collection and analysis

Information was extracted into a pre-defined database. Study design and eligibility, overall quality and results, SMM definitions, and patient-, hospital-, and community-level risk factors and their definitions were assessed.

Main results

Eligibility criteria were met by 81 studies. Methodological approaches were heterogeneous and study results could not be combined quantitatively because of wide variability in data sources, study designs, eligibility criteria, definitions of SMM, and risk-factor selection and definitions. Of the 180 potential risk factors identified, 41 were categorized as pre-existing conditions (e.g., chronic hypertension), 22 as obstetrical conditions (e.g., multiple gestation), 22 as intrapartum conditions (e.g., delivery route), 15 as non-clinical variables (e.g., insurance type), 58 as hospital-level variables (e.g., delivery volume), and 22 as community-level variables (e.g., neighborhood poverty).

Conclusions

The development of a risk adjustment strategy that will allow for SMM comparisons across hospitals or regions will require harmonization regarding: a) the standardization of the SMM definition; b) the data sources and population used; and c) the selection and definition of risk factors of interest.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40748-020-00123-1.

High-risk pregnancies and their association with severe maternal morbidity in Nepal: A prospective cohort study

Background

The early identification of pregnant women at risk of developing complications at birth is fundamental to antenatal care and an important strategy in preventing maternal death. This study aimed to determine the prevalence of high-risk pregnancies and explore the association between risk stratification and severe maternal morbidity.

Methods

This hospital-based prospective cohort study included 346 pregnant women between 28–32 gestational weeks who were followed up after childbirth at Koshi Hospital in Nepal. The Malaysian antenatal risk stratification approach, which applies four color codes, was used: red and yellow denote high-risk women, while green and white indicate low-risk women based on maternal past and present medical and obstetric risk factors. The World Health Organization criteria were used to identify women with severe maternal morbidity. Multivariate confirmatory logistic regression analysis was performed to adjust for possible confounders (age and mode of birth) and explore the association between risk stratification and severe maternal morbidity.

Results

The prevalence of high-risk pregnancies was 14.4%. Based on the color-coded risk stratification, 7.5% of the women were categorized red, 6.9% yellow, 72.0% green, and 13.6% white. The women with high-risk pregnancies were 4.2 times more likely to develop severe maternal morbidity conditions during childbirth.

Conclusions

Although smaller in percentage, the chances of severe maternal morbidity among high-risk pregnancies were higher than those of low-risk pregnancies. This risk scoring approach shows the potential to predict severe maternal morbidity if routine screening is implemented at antenatal care services. Notwithstanding, unpredictable severe maternal morbidity events also occur among low-risk pregnant women, thus all pregnant women require vigilance and quality obstetrics care but high-risk pregnant women require specialized care and referral.

Socioethnic disparities in severe maternal morbidity in Western Australia: a statewide retrospective cohort study

OBJECTIVES

To assess the scale of ethnic inequalities in severe maternal morbidity (SMM) rates and quantify the contribution of maternal characteristics to these disparities.

DESIGN

Retrospective cohort study.

SETTING

Whole-of-population linked administrative data from 2002 to 2015 in Western Australia.

PARTICIPANTS

Women with 410 043 birth events (includes all births from the same pregnancy) of 20 weeks' or more gestation, including terminations for congenital anomalies.

PRIMARY AND SECONDARY OUTCOME MEASURES

Women with SMM were identified based on a composite indicator of SMM using diagnosis and procedure codes developed for use in routinely collected data. Mothers were classified into seven ethnic groups, based on their reported ethnic origin. The associations between maternal ethnic origin and SMM were examined using a log-binomial model, which estimates risk ratios (RRs) and 95% CIs. The Blinder-Oaxaca decomposition technique was employed to partition the disparity in SMM between Aboriginal and Caucasian populations into 'explained' and 'unexplained' components.

RESULTS

During the study period, 9378 SMM cases were documented. In the adjusted model, Aboriginal (RR 1.73, 95% CI 1.59 to 1.87), African (RR 1.64, 95% CI 1.43 to 1.89) and 'other' ethnicity (RR 1.49, 95% CI 1.37 to 1.63) women were at significantly higher risk of SMM compared with Caucasian women. Teenage and older mothers and socioeconomically disadvantaged women were also at greater risk of SMM. Differences in sociodemographic characteristics explained 33.2% of the disparity in SMM between Aboriginal and Caucasian women.

CONCLUSIONS

There are distinct disparities in SMM by ethnicity in Western Australia, with a greater risk among Aboriginal and African women. While improvements in SES and a reduction in teenage pregnancy can potentially support a sizeable reduction in SMM rate inequalities, future research should investigate other potential pathways and targeted interventions to close the ethnicity disparity.

Future Directions: Analyzing Health Disparities Related to Maternal Hypertensive Disorders

Hypertensive disorders of pregnancy complicate up to 10% of pregnancies worldwide, constituting one of the most significant causes of maternal morbidity and mortality. Hypertensive disorders, specifically gestational hypertension, chronic hypertension, and preeclampsia, throughout pregnancy are contributors to the top causes of maternal mortality in the United States. Diagnosis of hypertensive disorders throughout pregnancy is challenging, with many disorders often remaining unrecognized or poorly managed during and after pregnancy. Moreover, the research has identified a strong link between the prevalence of maternal hypertensive disorders and racial and ethnic disparities. Factors that influence the prevalence of maternal hypertensive disorders among racially and ethnically diverse women include maternal age, level of education, United States-born status, nonmetropolitan residence, prepregnancy obesity, excess weight gain during pregnancy, and gestational diabetes. Examination of the factors that increase the risk for maternal hypertensive disorders along with the current interventions utilized to manage hypertensive disorders will assist in the identification of gaps in prevention and treatment strategies and implications for future practice. Specific focus will be placed on disparities among racially and ethnically diverse women that increase the risk for maternal hypertensive disorders. This review will serve to promote the development of interventions and strategies that better address and prevent hypertensive disorders throughout a pregnant woman's continuum of care.

Neighborhood Racial And Economic Polarization, Hospital Of Delivery, And Severe Maternal Morbidity

Recent national and state legislation has called attention to stark racial/ethnic disparities in maternal mortality and severe maternal morbidity (SMM), the latter of which is defined as having a life-threatening condition or life-saving procedure during childbirth. Using linked New York City birth and hospitalization data for 2012-14, we examined whether racial and economic spatial polarization is associated with SMM rates, and whether the delivery hospital partially explains the association. Women in ZIP codes with the highest concentration of poor blacks relative to wealthy whites experienced 4.0 cases of SMM per 100 deliveries, compared with 1.7 cases per 100 deliveries among women in the neighborhoods with the lowest concentration (risk difference = 2.4 cases per 100). Thirty-five percent of this difference was attributable to the delivery hospital. Women in highly polarized neighborhoods were most likely to deliver in hospitals located in similarly polarized neighborhoods. Housing policy that targets racial and economic spatial polarization may address a root cause of SMM, while hospital quality improvement may mitigate the impact of such polarization.

Maternal morbidity after early preterm delivery (23-28 weeks)

BACKGROUND

Previous research has focused mainly on neonatal outcomes associated with preterm and periviable delivery, but maternal outcomes with preterm delivery are less well described.

OBJECTIVE

This study aimed to determine if early preterm delivery results in an increase in maternal morbidity.

STUDY DESIGN

This is a retrospective cohort study conducted at a tertiary care center over a 5-year time period. Subjects were women identified by review of neonatal intensive care unit admission logs. Women were included if they delivered between 23 0/7 and 28 6/7 weeks' gestation and their neonate was admitted to the neonatal intensive care unit. The prevalence of maternal morbidities was assessed, including blood transfusion, maternal infection, placental abruption, postpartum depression or positive depression screen, hemorrhage, and prolonged maternal postpartum hospitalization. A composite outcome comprising blood transfusion, maternal infectious morbidity, placental abruption, and postpartum depression was developed. Outcomes for women who delivered between 23 0/7 and 25 6/7 weeks' gestation (early group) and 26 0/7 and 28 6/7 weeks' gestation (late group) were compared. Multivariate logistic regression analysis was performed to evaluate contributors to the composite morbidity, controlling for confounding.

RESULTS

A total of 82 women met the inclusion criteria: 38 in the early group and 44 in the late group. Maternal demographics were similar between the groups. The early group was significantly more likely to experience composite maternal morbidity (60.5% vs 27.3%; P=.004) and infection (42.1% vs 13.6%; P=.006). Regression analysis determined that delivery at a later gestational age was associated with lower rates of composite morbidity (odds ratio, 0.6; 95% confidence interval, 0.41-0.83).

CONCLUSION

In this study, data suggest that maternal morbidity is higher with delivery at periviable gestational ages. Composite morbidity and maternal infection were more frequent in women who delivered at less than 26 weeks' gestation. The management of women at risk for delivery at early gestational ages should include a discussion of increased maternal complications.

Social Determinants of Pregnancy-Related Mortality and Morbidity in the United States: A Systematic Review

OBJECTIVE

To synthesize the literature on associations between social determinants of health and pregnancy-related mortality and morbidity in the United States and to highlight opportunities for intervention and future research.

DATA SOURCES

We performed a systematic search using Ovid MEDLINE, CINAHL, Popline, Scopus, and ClinicalTrials.gov (1990-2018) using MeSH terms related to maternal mortality, morbidity, and social determinants of health, and limited to the United States.

METHODS OF STUDY SELECTION

Selection criteria included studies examining associations between social determinants and adverse maternal outcomes including pregnancy-related death, severe maternal morbidity, and emergency hospitalizations or readmissions. Using Covidence, three authors screened abstracts and two screened full articles for inclusion.

TABULATION, INTEGRATION, AND RESULTS

Two authors extracted data from each article and the data were analyzed using a descriptive approach. A total of 83 studies met inclusion criteria and were analyzed. Seventy-eight of 83 studies examined socioeconomic position or individual factors as predictors, demonstrating evidence of associations between minority race and ethnicity (58/67 studies with positive findings), public or no insurance coverage (21/30), and lower education levels (8/12), and increased incidence of maternal death and severe maternal morbidity. Only 2 of 83 studies investigated associations between these outcomes and socioeconomic, political, and cultural context (eg, public policy), and 20 of 83 studies investigated material and physical circumstances (eg, neighborhood environment, segregation), limiting the diversity of social determinants of health studied as well as evaluation of such evidence.

CONCLUSION

Empirical studies provide evidence for the role of race and ethnicity, insurance, and education in pregnancy-related mortality and severe maternal morbidity risk, although many other important social determinants, including mechanisms of effect, remain to be studied in greater depth.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO, CRD42018102415.

Race and Ethnicity, Medical Insurance, and Within-Hospital Severe Maternal Morbidity Disparities

OBJECTIVE

To examine within-hospital racial and ethnic disparities in severe maternal morbidity rates and determine whether they are associated with differences in types of medical insurance.

METHODS

We conducted a population-based, cross-sectional study using linked 2010-2014 New York City discharge and birth certificate data sets (N=591,455 deliveries) to examine within-hospital black-white, Latina-white, and Medicaid-commercially insured differences in severe maternal morbidity. We used logistic regression to produce risk-adjusted rates of severe maternal morbidity for patients with commercial and Medicaid insurance and for black, Latina, and white patients within each hospital. We compared these within-hospital adjusted rates using paired t-tests and conditional logit models.

RESULTS

Severe maternal morbidity was higher among black and Latina women than white women (4.2% and 2.9% vs 1.5%, respectively, P<.001) and among women insured by Medicaid than those commercially insured (2.8% vs 2.0%, P<.001). Women insured by Medicaid compared with those with commercial insurance had similar risk for severe maternal morbidity within the same hospital (P=.54). In contrast, black women compared with white women had significantly higher risk for severe maternal morbidity within the same hospital (P<.001), as did Latina women (P<.001). Conditional logit analyses confirmed these findings, with black and Latina women compared with white women having higher risk for severe maternal morbidity (adjusted odds ratio [aOR] 1.52; 95% CI 1.46-1.62 and aOR 1.44; 95% CI 1.36-1.53, respectively) and women insured by Medicaid compared with those commercially insured having similar risk.

CONCLUSION

Within hospitals in New York City, black and Latina women are at higher risk of severe maternal morbidity than white women; this is not associated with differences in types of insurance.

Severe antepartum hypertension and associated peripartum morbidity among pregnant women in an urban tertiary care medical center

OBJECTIVES

Hypertensive disorders of pregnancy are a leading cause of maternal morbidity and mortality. Although acute severe hypertension carries with it a poor prognosis, treatment is often delayed and not universal.

STUDY DESIGN

A total of 654 patients were assessed for the impact of hypertensive disorders of pregnancies on maternal and fetal morbidity and divided into three groups: normotensive (Group I, N = 306), non-severe hypertension (Group II, N = 248) and severe-range hypertension with blood pressure (BP) episodes ≥160 systolic or ≥105 diastolic (Group III, N = 100). Retrospective demographic and medical information was abstracted from patients' medical records to collect study data.

MAIN OUTCOME MEASURES

The main outcomes assessed were composite maternal adverse events,fetal adverse events, and time to treatment.

RESULTS

Patients in Group III had higher systolic (182 vs 155 vs 133) and diastolic (106 vs 95 vs 81) BPs compared to patients in Groups II and I. Patients in Group III had a significantly higher incidence of maternal adverse events (26.0% vs 6.5% vs 2.0%, respectively; p < 0.001) and higher neonatal composite adverse events (52.0% vs 17.7% vs 26.1%, respectively; p < 0.001) as compared to patients in Groups II and I. Only 52.2% of patients in Group III were treated within recommended 60 minutes or less.

CONCLUSIONS

Patients with severe hypertension antepartum have higher associated maternal and fetal adverse events while treatment is often delayed. Further studies should evaluate the effects of adequate time to treatment for severe hypertension. Steps should also be taken to standardize identification and reporting of severe maternal morbidity.

The Impact of Severe Maternal Morbidity on Very Preterm Infant Outcomes

OBJECTIVE

To estimate the prevalence of severe maternal morbidity among very preterm births and determine its association with very preterm infant mortality and morbidity.

STUDY DESIGN

This study used New York City Vital Statistics birth and death records linked with maternal and newborn discharge abstract data for live births between 2010 and 2014. We included 6901 infants without congenital anomalies born between 24^0/7 and 32^6/7 weeks of gestation. Severe maternal morbidity was identified as life-threatening conditions or life-saving procedures. Outcomes were first-year infant mortality, severe neonatal morbidity (bronchopulmonary dysplasia, severe necrotizing enterocolitis, stage 3-5 retinopathy of prematurity, and intraventricular hemorrhage grades 3-4), and a combined outcome of death or morbidity.

RESULTS

Twelve percent of very preterm live-born infants had a mother with severe maternal morbidity. Maternal and pregnancy characteristics associated with occurrence of severe maternal morbidity were multiparity, being non-Hispanic black, and preexisting health conditions, but gestational age and the percentage small for gestational age did not differ. Infants whose mothers experienced severe maternal morbidity had higher first-year mortality, 11.2% vs 7.7% without severe maternal morbidity, yielding a relative risk of 1.39 (95% CI: 1.14-1.70) after adjustment for maternal characteristics, preexisting comorbidities, pregnancy complications, and hospital factors. Severe neonatal morbidity was not associated with severe maternal morbidity.

CONCLUSIONS

Severe maternal morbidity is an independent risk factor for mortality in the first year of life among very preterm infants after consideration of other maternal and pregnancy risk factors.

Population-attributable fraction of risk factors for severe maternal morbidity

Background

Severe maternal morbidity is an important proxy for maternal mortality. Population attributable fraction is the proportion of a disease that is attributable to a given risk factor and can be used to estimate the reduction in the disease that would be anticipated if a risk factor was reduced or eliminated.

Objective

We sought to determine the population-attributable fraction (PAF) of potentially modifiable risk factors for severe maternal morbidity.

Study Design

We used a retrospective cohort of 86,260 delivery hospitalizations from Magee-Womens Hospital, Pittsburgh, PA for this analysis (2003-2012). Severe maternal morbidity was defined as any of the following: Centers for Disease Control and Prevention International Classification of Diseases 9^th Revision diagnosis and procedure codes for the identification of maternal morbidity; prolonged postpartum length of stay (defined as >3 standard deviations beyond the mean length of stay: >3 days for vaginal deliveries and >5 days for Cesarean deliveries); or maternal intensive care unit admission. We used multivariable logistic regression with generalized estimating equations to estimate the association of prepregnancy overweight or obesity, maternal age ≥35 years, preexisting hypertension, preexisting diabetes, excessive gestational weight gain, smoking, education, and marital status with severe maternal morbidity. We then calculated the PAF for each risk factor. We also examined the impact of modest reductions and elimination of risk factors on the PAF of severe maternal morbidity.

Results

The overall rate of severe maternal morbidity was 2.0%. Overweight and obesity, maternal age ≥35 years, preexisting hypertension, excessive gestational weight gain, and lack of a college degree had PAF ranging from 4.5% to 13%. If all risk factors were eliminated, 36% of cases could have been prevented. Modest reductions in the prevalence of excessive BMI and advanced maternal age had minimal impact on preventing severe maternal morbidity. Smoking during pregnancy and marital status were not associated with severe maternal morbidity.

Conclusions

Our data suggest maternal morbidity can be reduced by modifying common, individual-level risk factors. Nevertheless, the majority of cases were not attributable to the patient level risk factors we examined. These data support the need for large studies of patient-, provider-, system- and population-level factors to identify high-impact interventions to reduce maternal morbidity.

Patient and hospital characteristics associated with severe maternal morbidity among postpartum readmissions

OBJECTIVE

To examine the influence of socioeconomic, clinical, and hospital characteristics on the risk of severe maternal morbidity among postpartum readmissions.

STUDY DESIGN

A cross-sectional analysis was conducted using the National Inpatient Sample 2006-2012 to estimate the risk of severe maternal morbidity and identify potential risk factors. Odds ratios were calculated using multivariate logistic regression.

RESULTS

Women aged ≥35 years (ages 35-39: OR 1.12 [CI 1.06, 1.19]; ages 40+: OR 1.27 [CI 1.17, 1.39]), non-Hispanic blacks (OR 1.16 [CI 1.10, 1.22]), and women with pre-existing medical conditions (OR 1.62 [CI 1.56, 1.68]) were at greater risk of severe maternal morbidity during postpartum readmissions. Women hospitalized outside the Northeast region (Midwest: OR 1.20 [CI 1.10, 1.30]; South: OR 1.29 [CI 1.20, 1.38]; West: OR 1.33 [CI 1.22, 1.44]) were also at increased risk.

CONCLUSION

The risk of severe maternal morbidity is heightened beyond delivery hospitalization for a subset of high-risk women.

Leveraging Electronic Health Records to Learn Progression Path for Severe Maternal Morbidity

Severe maternal morbidity (SMM) encompasses a wide range of serious health complications that would likely result in death without in-time medical attention. It has been recognized that various demographic factors (e.g., age and race) and medical conditions (e.g., preeclampsia and organ failure) are associated with SMM. However, how medical conditions develop into SMM is seldom investigated. We hypothesize that SMM has a progression path, which is associated with a sequence of risk factors rather than a set of independent individual factors. We implemented a data-driven framework that leverages electronic health records (EHRs) in the antepartum period to learn the temporal patterns and measure their relationships with SMM during the delivery hospitalization. We evaluate the framework with two years of data from 6,184 women who had delivery hospitalizations at Vanderbilt University Medical Center. We discovered 69 temporal patterns, 12 of which were confirmed to be significantly associated with SMM.

Severe maternal morbidity and postpartum mental health-related outcomes in Sweden: a population-based matched-cohort study

We examined whether women experiencing severe maternal morbidity (SMM) are more likely to be treated for a psychiatric illness or be prescribed psychotropic medications in the postpartum year than mothers who did not experience SMM. We also examine the relationship between SMM and specific mental health-related outcomes, and the relationship between specific SMM diagnoses/procedures and postpartum mental-health-related outcomes. The national registers in Sweden were used to create a population-based matched cohort. Every delivery with SMM between July 1, 2006, and December 31, 2012 (n = 8558), was matched with two deliveries without SMM (n = 17,116). Conditional logistic regression models assessed the relationship between SMM and postpartum mental health-related outcomes. Women who experienced SMM had significantly greater odds of being treated for a psychiatric disorder (aOR 1.22; 95% CI 1.03-1.45) and being prescribed psychotropic medications (aOR 1.40; 95% CI 1.24-1.58) in the postpartum year. Specifically, they had significantly greater odds of being treated for neuroses (aOR 1.35; 95% CI 1.09-1.69) and having a prescription for anxiolytics/hypnotics (aOR 1.36; 95% CI 1.18-1.58) or antidepressants (aOR 1.35; 95% CI 1.17-1.55). Women who were diagnosed with shock or uterine rupture/obstetric laparotomy during delivery had the greatest odds of postpartum mental health-related outcomes. This study identified mothers with SMM as a group at high risk for postpartum mental illness. Postpartum mental health services should be provided to ensure the well-being of these high-risk mothers.

Structural Racism and Severe Maternal Morbidity in New York State

Objective:

We examined the association between county-level structural racism indicators and the odds of severe maternal morbidity (SMM) in New York State.

Design:

We merged individual-level hospitalization data from the New York State Department of Health Statewide Planning and Research Cooperative System (SPARCS) with county-level data from the American Community Survey and the Vera Institute of Justice from 2011 to 2013 (n = 244 854). Structural racism in each county included in our sample was constructed as the racial inequity (ratio of black to white population) in female educational attainment, female employment, and incarceration.

Results:

Multilevel logistic regression analysis estimated the association between each of these structural racism indicators and SMM, accounting for individual- and hospital-level characteristics and clustering in facilities. In the models adjusted for individual- and hospital-level factors, county-level racial inequity in female educational attainment was associated with small but statistically significant higher odds of SMM (odds ratio [OR] = 1.17, 95% confidence interval [CI] = 1.47, 1.85). County-level structural racism indicators of female employment inequity and incarceration inequity were not statistically significant. Interaction terms examining potential effect measure modification by race with each structural racism indicator also indicated no statistical difference.

Conclusions:

Studies of maternal disparities should consider multiple dimensions of structural racism as a contributing cause to SMM and as an additional area for potential intervention.