Validation of ICD-10 Codes for Gestational and Pregestational Diabetes During Pregnancy in a Large, Public Hospital

Diabetic Ketoacidosis and Adverse Outcomes Among Pregnant Individuals With Pregestational Diabetes in the United States, 2010-2020

OBJECTIVE

To assess the frequency of, risk factors for, and adverse outcomes associated with diabetic ketoacidosis (DKA) at delivery hospitalization among individuals with pregestational diabetes (type 1 and 2 diabetes mellitus) and secondarily to evaluate the frequency of and risk factors for antepartum and postpartum hospitalizations for DKA.

METHODS

We conducted a serial, cross-sectional study using the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project Nationwide Readmissions Database from 2010 to 2020 of pregnant individuals with pregestational diabetes hospitalized for delivery. The exposures were 1) sociodemographic and clinical risk factors for DKA and 2) DKA. The outcomes were DKA at delivery hospitalization, maternal morbidity (nontransfusion severe maternal morbidity (SMM), critical care procedures, cardiac complications, acute renal failure, and transfusion), and adverse pregnancy outcomes (preterm birth, hypertensive disorders of pregnancy, and cesarean delivery) and secondarily DKA at antepartum and postpartum hospitalizations.

RESULTS

Of 392,796 deliveries in individuals with pregestational diabetes (27.2% type 1 diabetes, 72.8% type 2 diabetes), there were 4,778 cases of DKA at delivery hospitalization (89.1% type 1 diabetes, 10.9% type 2 diabetes). The frequency of DKA at delivery hospitalization was 1.2% (4.0% with type 1 diabetes, 0.2% with type 2 diabetes), and the mean annual percentage change was 10.8% (95% CI, 8.2-13.2%). Diabetic ketoacidosis at delivery hospitalization was significantly more likely among those who had type 1 diabetes compared with those with type 2 diabetes, who were younger in age, who delivered at larger and metropolitan hospitals, and who had Medicaid insurance, lower income, multiple gestations, and prior psychiatric illness. Diabetic ketoacidosis during the delivery hospitalization was associated with an increased risk of nontransfusion SMM (20.8% vs 2.4%, adjusted odds ratio [aOR] 8.18, 95% CI, 7.20-9.29), critical care procedures (7.3% vs 0.4%, aOR 15.83, 95% CI, 12.59-19.90), cardiac complications (7.8% vs 0.8%, aOR 8.87, 95% CI, 7.32-10.76), acute renal failure (12.3% vs 0.7%, aOR 9.78, 95% CI, 8.16-11.72), and transfusion (6.2% vs 2.2%, aOR 2.27, 95% CI, 1.87-2.75), as well as preterm birth (31.9% vs 13.5%, aOR 2.41, 95% CI, 2.17-2.69) and hypertensive disorders of pregnancy (37.4% vs 28.1%, aOR 1.11, 95% CI, 1.00-1.23). In secondary analyses, the overall frequency of antepartum DKA was 3.1%, and the mean annual percentage change was 4.1% (95% CI, 0.3-8.6%); the overall frequency of postpartum DKA was 0.4%, and the mean annual percentage change was 3.5% (95% CI, -1.6% to 9.6%). Of 3,092 antepartum hospitalizations among individuals with DKA, 15.7% (n=485) had a recurrent case of DKA at delivery hospitalization. Of 1,419 postpartum hospitalizations among individuals with DKA, 20.0% (n=285) previously had DKA at delivery hospitalization. The above risk factors for DKA at delivery hospitalization were similar for DKA at antepartum and postpartum hospitalizations.

CONCLUSION

The frequency of DKA at delivery hospitalization and antepartum hospitalizations for DKA increased between 2010 and 2020 among deliveries in individuals with pregestational diabetes in the United States. Diabetic ketoacidosis is associated with an increased risk of maternal morbidity and adverse pregnancy outcomes. Risk factors for DKA at delivery were similar to those for DKA during the antepartum and postpartum periods.

Risk of Adverse Perinatal Outcomes Among African-born Black Women in California, 2011-2020

BACKGROUND

African-born women have a lower risk of preterm birth and small for gestational age (SGA) birth compared with United States-born Black women, however variation by country of origin is overlooked. Additionally, the extent that nativity disparities in adverse perinatal outcomes to Black women are explained by individual-level factors remains unclear.

METHODS

We conducted a population-based study of nonanomalous singleton live births to United States- and African-born Black women in California from 2011 to 2020 (n = 194,320). We used age-adjusted Poisson regression models to estimate the risk of preterm birth and SGA and reported risk ratios (RR) and 95% confidence intervals (CI). Decomposition using Monte Carlo integration of the g-formula computed the percentage of disparities in adverse outcomes between United States- and African-born women explained by individual-level factors.

RESULTS

Eritrean women (RR = 0.4; 95% CI = 0.3, 0.5) had the largest differences in risk of preterm birth and Cameroonian women (RR = 0.5; 95% CI = 0.3, 0.6) in SGA birth, compared with United States-born Black women. Ghanaian women had smaller differences in risk of preterm birth (RR = 0.8; 95% CI = 0.7, 1.0) and SGA (RR = 0.9; 95% CI = 0.8, 1.1) compared with United States-born women. Overall, we estimate that absolute differences in socio-demographic and clinical factors contributed to 32% of nativity-based disparities in the risk of preterm birth and 26% of disparities in SGA.

CONCLUSIONS

We observed heterogeneity in risk of adverse perinatal outcomes for African- compared with United States-born Black women, suggesting that nativity disparities in adverse perinatal outcomes were not fully explained by differences in individual-level factors.

Obstetric Complications and Birth Outcomes After Antenatal Coronavirus Disease 2019 (COVID-19) Vaccination

OBJECTIVE

To evaluate the association between antenatal messenger RNA (mRNA) coronavirus disease 2019 (COVID-19) vaccination and risk of adverse pregnancy outcomes.

METHODS

This was a retrospective cohort study of individuals with singleton pregnancies with live deliveries between June 1, 2021, and January 31, 2022, with data available from eight integrated health care systems in the Vaccine Safety Datalink. Vaccine exposure was defined as receipt of one or two mRNA COVID-19 vaccine doses (primary series) during pregnancy. Outcomes were preterm birth (PTB) before 37 weeks of gestation, small-for-gestational age (SGA) neonates, gestational diabetes mellitus (GDM), gestational hypertension, and preeclampsia-eclampsia-HELLP (hemolysis, elevated liver enzymes, and low platelet count) syndrome. Outcomes in individuals vaccinated were compared with those in propensity-matched individuals with unexposed pregnancies. Adjusted hazard ratios (aHRs) and 95% CIs were estimated for PTB and SGA using a time-dependent covariate Cox model, and adjusted relative risks (aRRs) were estimated for GDM, gestational hypertension, and preeclampsia-eclampsia-HELLP syndrome using Poisson regression with robust variance.

RESULTS

Among 55,591 individuals eligible for inclusion, 23,517 (42.3%) received one or two mRNA COVID-19 vaccine doses during pregnancy. Receipt of mRNA COVID-19 vaccination varied by maternal age, race, Hispanic ethnicity, and history of COVID-19. Compared with no vaccination, mRNA COVID-19 vaccination was associated with a decreased risk of PTB (rate: 6.4 [vaccinated] vs 7.7 [unvaccinated] per 100, aHR 0.89; 95% CI, 0.83-0.94). Messenger RNA COVID-19 vaccination was not associated with SGA (8.3 vs 7.4 per 100; aHR 1.06, 95% CI, 0.99-1.13), GDM (11.9 vs 10.6 per 100; aRR 1.00, 95% CI, 0.90-1.10), gestational hypertension (10.8 vs 9.9 per 100; aRR 1.08, 95% CI, 0.96-1.22), or preeclampsia-eclampsia-HELLP syndrome (8.9 vs 8.4 per 100; aRR 1.10, 95% CI, 0.97-1.24).

CONCLUSION

Receipt of an mRNA COVID-19 vaccine during pregnancy was not associated with an increased risk of adverse pregnancy outcomes; this information will be helpful for patients and clinicians when considering COVID-19 vaccination in pregnancy.

Maternal Characteristics and Rates of Unexpected Complications in Term Newborns by Hospital

Importance

The Joint Commission Unexpected Complications in Term Newborns measure characterizes newborn morbidity potentially associated with quality of labor and delivery care. Infant exclusions isolate relatively low-risk births, but unexpected newborn complications (UNCs) are not adjusted for maternal factors that may be associated with outcomes independently of hospital quality.

Objective

To investigate the association between maternal characteristics and hospital UNC rates.

Design, Setting, and Participants

This cohort study was conducted using linked 2016 to 2018 New York City birth and hospital discharge datasets among 254 259 neonates at low risk (singleton, ≥37 weeks, birthweight ≥2500 g, and without preexisting fetal conditions) at 39 hospitals. Logistic regression was used to calculate unadjusted hospital-specific UNC rates and replicated analyses adjusting for maternal covariates. Hospitals were categorized into UNC quintiles; changes in quintile ranking with maternal adjustment were examined. Data analyses were performed from December 2022 to July 2023.

Main Outcomes and Measures

UNCs were classified according to Joint Commission International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) criteria. Maternal preadmission comorbidities, obstetric factors, social characteristics, and hospital characteristics were ascertained.

Results

Among 254 259 singleton births at 37 weeks or later who were at low risk (125 245 female [49.3%] and 129 014 male [50.7%]; 71 768 births [28.2%] to Hispanic, 47 226 births [18.7%] to non-Hispanic Asian, 42 682 births [16.8%] to non-Hispanic Black, and 89 845 births [35.3%] to non-Hispanic White mothers and 2738 births [1.0%] to mothers with another race or ethnicity), 148 393 births (58.4%) were covered by Medicaid and 101 633 births (40.0%) were covered by commercial insurance. The 2016 to 2018 cumulative UNC incidence in New York City hospitals was 37.1 UNCs per 1000 births. Infants of mothers with preadmission risk factors had increased UNC risk; for example, among mothers with vs without preeclampsia, there were 104.4 and 35.8 UNCs per 1000 births, respectively. Among hospitals, unadjusted UNC rates ranged from 15.6 to 215.5 UNCs per 1000 births and adjusted UNC rates ranged from 15.6 to 194.0 UNCs per 1000 births (median [IQR] change from adjustment, 1.4 [-4.7 to 1.0] UNCs/1000 births). The median (IQR) change per 1000 births for adjusted vs unadjusted rates showed that hospitals with low (<601 deliveries/year; -2.8 [-7.0 to -1.6] UNCs) to medium (601 to <954 deliveries/year; -3.9 [-7.1 to -1.9] UNCs) delivery volume, public ownership (-3.6 [-6.2 to -2.3] UNCs), or high proportions of Medicaid-insured (eg, ≥90.72%; -3.7 [-5.3 to -1.9] UNCs), Black (eg, ≥32.83%; -5.3 [-9.1 to -2.2] UNCs), or Hispanic (eg, ≥6.25%; -3.7 [-5.3 to -1.9] UNCs) patients had significantly decreased UNC rates after adjustment, while rates increased or did not change in hospitals with the highest delivery volume, private ownership, or births to predominantly White or privately insured individuals. Among all 39 hospitals, 7 hospitals (17.9%) shifted 1 quintile comparing risk-adjusted with unadjusted quintile rankings.

Conclusions and Relevance

In this study, adjustment for maternal case mix was associated with small overall changes in hospital UNC rates. These changes were associated with performance assessment for some hospitals, and these results suggest that profiling on this measure should consider the implications of small changes in rates for hospitals with higher-risk obstetric populations.

The Association between Sickle Cell Disease and Postpartum Severe Maternal Morbidity

OBJECTIVE

 To compare the risk of severe maternal morbidity (SMM) from the delivery admission to 42 days' postdischarge among persons with sickle cell disease (SCD) to those without SCD.

STUDY DESIGN

 This retrospective cohort study included deliveries ≥20 weeks' gestation at an urban safety net hospital in Atlanta, GA from 2011 to 2019. The exposure was SCD diagnosis. The outcome was a composite of SMM from the delivery admission to 42 days' postdischarge. SMM indicators as defined by the Centers for Disease Control and Prevention were identified using the International Classification of Diseases, Ninth and Tenth Revisions (ICD-9/10) codes; transfusion of blood products and sickle cell crisis were excluded.

RESULTS

 Of N = 17,354 delivery admissions, n = 92 (0.53%) had SCD. Persons with SCD versus without SCD had an increased risk of composite SMM (15.22 vs. 2.29%, p < 0.001), acute renal failure (6.52 vs. 0.71%, p < 0.001), acute respiratory distress syndrome (4.35 vs. 0.17%, p < 0.001), puerperal cerebrovascular disorders (3.26 vs. 0.10%, p < 0.001), sepsis (4.35 vs. 0.42%, p < 0.01), air and thrombotic embolism (5.43 vs. 0.10%, p < 0.001), and ventilation (2.17 vs. 0.09%, p < 0.01). Ultimately, those with SCD had an approximately 6-fold higher incidence risk ratio of SMM, which remained after adjustment for confounders (adjusted incidence risk ratio [aIRR]: 5.96, 95% confidence interval [CI]: 3.4-9.19, p < 0.001). Persons with SCD in active vaso-occlusive crisis at the delivery admission had an approximately 9-fold higher risk of SMM up to 42 days' postdischarge compared with those with SCD not in crisis at the delivery admission (incidence: 25.71 vs. 8.77%, p < 0.05; aIRR: 8.92, 95% CI: 4.5-10.04, p < 0.05). Among those with SCD, SMM at the delivery admission was primarily related to renal and cerebrovascular events, whereas most postpartum SMM was related to respiratory events or sepsis.

CONCLUSION

 SCD is significantly associated with an increased risk of SMM during the delivery admission and through 42 days' postdischarge. Active crisis at delivery further increases the risk of SMM.

KEY POINTS

· Sickle cell disease was associated with an approximately 6-fold increased risk of SMM.. · Active vaso-occlusive crisis at delivery was associated with an approximately 9-fold increased risk of SMM.. · 48% of SMM events in persons with SCD occurred postpartum and were respiratory- or sepsis-related..

Acute health care utilization in the first 24 months postpartum by rurality and pregnancy complications: A prospective cohort study

OBJECTIVE

To estimate the rate of acute health care use (hospitalizations and emergency department [ED] visits) among postpartum persons by rurality of residence and pregnancy complications.

DATA SOURCES AND STUDY SETTING

2006-2021 data from the Maine Health Data Organization's All Payer Claims Data.

STUDY DESIGN

We estimated the rates of hospitalizations and ED visits during the first 24 months postpartum, separately, overall and by four-level rurality of residence (urban, large rural, small rural, and isolated rural) and by pregnancy complications (prenatal depression, hypertensive disorders of pregnancy [HDP], and gestational diabetes mellitus [GDM]). We used Poisson regression models, adjusting for potential confounders. Data were weighted to account for censoring before 24 months postpartum.

DATA EXTRACTION METHODS

Deliveries during 2007-2019 (n = 122,412).

PRINCIPAL FINDINGS

Approximately 4% of persons had at least one hospitalization within 24 months postpartum (mean monthly rate per 100 deliveries = 0.35). Adjusted rates were not different by rurality. Persons with prenatal depression (adjusted rate ratio [aRR] = 1.9; 95% confidence interval [CI] 1.5-2.5), HDP (aRR = 1.4; 1.0-2.0), and GDM (aRR = 1.4; 0.9-2.0) had higher hospitalization rates than those without these conditions. Approximately 44% of persons had at least one ED visit within 24 months postpartum (mean monthly rate per 100 deliveries = 5.4). Adjusted ED rates were higher for persons living in small rural areas as compared with urban areas (aRR = 1.3; 1.2-1.4). Persons with prenatal depression (aRR = 1.8; 1.7-1.9), HDP (aRR = 1.1; 1.0-1.2), and GDM (aRR = 1.3; 1.2-1.4) had higher ED rates than those without these conditions; ED rates were highest among those living in small rural areas.

CONCLUSION

New policies and care practices may be needed to prevent acute health care encounters in the first 24 months after delivery for persons with common pregnancy conditions. Efforts to identify why postpartum people living in small rural areas have higher rates of ED visits are warranted.

"We adjusted for race": now what? A systematic review of utilization and reporting of race in American Journal of Epidemiology and Epidemiology, 2020-2021

Race is a social construct, commonly used in epidemiologic research to adjust for confounding. However, adjustment of race may mask racial disparities, thereby perpetuating structural racism. We conducted a systematic review of articles published in Epidemiology and American Journal of Epidemiology between 2020 and 2021 to (1) understand how race, ethnicity, and similar social constructs were operationalized, used, and reported; and (2) characterize good and poor practices of utilization and reporting of race data on the basis of the extent to which they reveal or mask systemic racism. Original research articles were considered for full review and data extraction if race data were used in the study analysis. We extracted how race was categorized, used-as a descriptor, confounder, or for effect measure modification (EMM)-and reported if the authors discussed racial disparities and systemic bias-related mechanisms responsible for perpetuating the disparities. Of the 561 articles, 299 had race data available and 192 (34.2%) used race data in analyses. Among the 160 US-based studies, 81 different racial categorizations were used. Race was most often used as a confounder (52%), followed by effect measure modifier (33%), and descriptive variable (12%). Fewer than 1 in 4 articles (22.9%) exhibited good practices (EMM along with discussing disparities and mechanisms), 63.5% of the articles exhibited poor practices (confounding only or not discussing mechanisms), and 13.5% were considered neither poor nor good practices. We discuss implications and provide 13 recommendations for operationalization, utilization, and reporting of race in epidemiologic and public health research.

Assessing hospital differences in low-risk cesarean delivery metrics in Florida

BACKGROUND

Unnecessary cesarean deliveries lead to increased maternal and neonatal morbidities and mortalities. In 2020, Florida had a cesarean delivery rate of 35.9%, the third highest in the nation. An effective quality improvement strategy to reduce overall cesarean delivery rates is to decrease primary cesarean deliveries in low-risk births (nulliparous, term, singleton, vertex). Of note, 3 nationally accepted hospital measures of low-risk cesarean delivery rates include the nulliparous, term, singleton, vertex; Joint Commission; and Society for Maternal-Fetal Medicine metrics. Comparing metrics is necessary because accurate and timely measurement is essential to support multihospital quality improvement efforts to reduce low-risk cesarean delivery rates and improve the quality of maternal care.

OBJECTIVE

This study aimed to assess differences in hospital low-risk cesarean delivery rates in Florida using 5 different metrics of low-risk cesarean delivery rate based on (1) risk methodology, nulliparous, term, singleton, vertex; Joint Commission; and Society for Maternal-Fetal Medicine metrics, and (2) data source, linked birth certificate and hospital discharge records and hospital discharge records only.

STUDY DESIGN

This was a population-based study of live Florida births from 2016 to 2019 to compare 5 approaches to calculating low-risk cesarean delivery rates. Analyses were performed using linked birth certificate data and inpatient hospital discharge data. The 5 low-risk cesarean delivery measures were defined as follows: nulliparous, term, singleton, vertex birth certificate; Joint Commission-linked used Joint Commission exclusions; Society for Maternal-Fetal Medicine-linked used Society for Maternal-Fetal Medicine exclusions; Joint Commission hospital discharge with Joint Commission exclusions; and Society for Maternal-Fetal Medicine hospital discharge with Society for Maternal-Fetal Medicine exclusions. Nulliparous, term, singleton, vertex birth certificate was based on data from birth certificates and not using linked hospital discharge data. Designated as nulliparous, term, singleton, vertex, it does not exclude other high-risk conditions. The second and third measures (Joint Commission-linked used Joint Commission exclusions and Society for Maternal-Fetal Medicine-linked used Society for Maternal-Fetal Medicine exclusions) use data elements from the full-linked dataset to designate nulliparous, term, singleton, vertex and excluded several high-risk conditions. The last 2 measures (Joint Commission hospital discharge with Joint Commission exclusions; and Society for Maternal-Fetal Medicine hospital discharge with Society for Maternal-Fetal Medicine exclusions) were based on data from hospital discharge data only and not using linked birth certificate data. These measures generally reflect term, singleton, and vertex because parity could not be assessed adequately on hospital discharge data. Hospital differences between these 5 measures were calculated overall and by neonatal intensive care unit level.

RESULTS

Overall, the median of hospital low-risk cesarean rates decreased across the measures, from NTSV-BC 30.7%, to Joint Commission linked 29.1%, and Society for Maternal Fetal Medicine hospital discharge 29.2% with a large decrease to Joint Commission hospital discharge 19.4% and Society for Maternal Fetal Medicine hospital discharge 18.1%. A similar trend was seen by neonatal intensive care unit level. For each of the measures, level II had the highest median low-risk cesarean rates (nulliparous. term, singleton, vertex birth certificate) 32.7%, Joint Commission linked (31.4%), Society for Maternal Fetal Medicine linked: 31.1%, Society for Maternal Fetal Medicine hospital discharge 19.3%), except for level III Joint Commission hospital discharge (20.0%). A comparison of the median number of low-risk births overall and by neonatal intensive care unit level showed a decreasing number across the linked and hospital discharge measures. Again, a wide gap in low-risk cesarean delivery rates was identified between linked measures and hospital discharge measures. However, this gap narrowed as hospital rates increased.

CONCLUSION

Quality monitoring of low-risk cesarean delivery rates measured by the nulliparous, term, singleton, vertex metric using the birth certificate was fairly accurate and provided timely assessment for use by Florida hospitals. The nulliparous, term, singleton, vertex birth certificate rates were comparable with low-risk metrics using the linked data source. Overall, metrics used within the same data source had similar rates, with the Society for Maternal-Fetal Medicine metric having the lowest rates. Across data sources, metrics using hospital discharge data only resulted in substantially underestimated rates because of the inclusion of multiparous women and should be interpreted with caution.

Impact of the COVID-19 Pandemic on Prenatal Care Utilization at a Public Hospital

OBJECTIVE

The aim of the study is to compare rates of prenatal care utilization before and after implementation of a telehealth-supplemented prenatal care model due to the coronavirus disease 2019 (COVID-19) pandemic.

STUDY DESIGN

Using electronic medical record data, we identified two cohorts of pregnant persons that initiated prenatal care prior to and during the COVID-19 pandemic following the implementation of telehealth (from March 1, 2019 through August 31, 2019, and from March 1, 2020, through August 31, 2020, respectively) at Grady Memorial Hospital. We used Pearson's Chi-square and two-tailed t-tests to compare rates of prenatal care utilization, antenatal screening and immunizations, emergency department and obstetric triage visits, and pregnancy complications for the prepandemic versus pandemic-exposed cohorts.

RESULTS

We identified 1,758 pregnant patients; 965 entered prenatal care prior to the COVID-19 pandemic and 793 entered during the pandemic. Patients in the pandemic-exposed cohort were more likely to initiate prenatal care in the first trimester (46.1 vs. 39.0%, p = 0.01), be screened for gestational diabetes (74.4 vs. 67.0%, p <0.001), and receive dating and anatomy ultrasounds (17.8 vs. 13.0%, p = 0.006 and 56.9 vs. 47.3%, p <0.001, respectively) compared with patients in the prepandemic cohort. There was no difference in mean number of prenatal care visits between the two groups (6.9 vs. 7.1, p = 0.18). Approximately 41% of patients in the pandemic-exposed cohort had one or more telehealth visits. The proportion of patients with one or more emergency department visits was higher in the pandemic-exposed cohort than the prepandemic cohort (32.8 vs. 12.3%, p < 0.001). Increases in rates of labor induction were also observed among the pandemic-exposed cohort (47.1 vs. 38.2%, p <0.001).

CONCLUSION

Rates of prenatal care utilization were similar before and during the COVID-19 pandemic. However, pregnant persons receiving prenatal care during the pandemic entered care earlier and had higher utilization of certain antenatal screening services than those receiving prenatal care prior to the pandemic.

KEY POINTS

· Patients initiated prenatal care earlier during the COVID-19 pandemic.. · Uptake of telehealth services was low.. · Rates of diabetes screening and ultrasound use increased during the pandemic..

Mental Health Within 24 Months After Delivery Among Women with Common Pregnancy Conditions

Objective: The aim of this study is to estimate the risk of a new mental health diagnosis within the first 24 months postpartum among women with common pregnancy conditions, overall and by rurality. Materials and Methods: This longitudinal population-based study used the Maine Health Data Organization's All-Payer Claims Data to estimate the cumulative risk of a new mental health disorder diagnosis in the first 24 months postpartum among women with deliveries during 2007-2019 and who did not have a mental health diagnosis before pregnancy. Cox models were used to estimate hazard ratios for common pregnancy conditions (prenatal depression, gestational diabetes [GDM], and hypertensive disorders of pregnancy [HDP]) on the new diagnosis of five mental health conditions, separately. Models were adjusted for maternal demographics and pregnancy characteristics. Results: Of the 123,125 deliveries, the cumulative risk of being diagnosed in the first 24 months postpartum with depression was 28%, anxiety 25%, bipolar disorder 3%, post-traumatic stress disorder 6%, and schizophrenia/psychotic disorder 1%. Women with prenatal depression were at higher risk of having a postpartum mental health diagnosis compared with women without prenatal depression (adjusted hazard ratios [aHRs] ranged from 2.5 [for anxiety] to 4.1 [for postpartum depression]). Risk of having postpartum depression was modestly higher among women with HDP, as was the risk of postpartum bipolar disorder among those with GDM. Findings were generally similar between women living in rural versus urban areas. Conclusions: Effective interventions to prevent, screen, and treat mental health conditions among women with pregnancy complications for an extended time postpartum are warranted.

Prepregnancy Cardiovascular Disease Risk Factors and Adverse Pregnancy Outcomes in a Safety-Net Hospital

Background: Many adverse pregnancy outcomes (APOs) are associated with elevated cardiovascular disease (CVD) risk. However, APO data in the context of pre-existing CVD risk factors, and from diverse populations, are limited. We assessed the occurrence of APOs among individuals with and without prepregnancy CVD risk factors, overall and by race/ethnicity. Methods: We conducted a retrospective study using electronic medical record data from a large urban safety-net hospital. Individuals with prenatal care and delivery between 2016 and 2018 at the hospital were included, and data from prenatal intake through the delivery hospitalization were captured. The exposure, prepregnancy CVD risk factors (hypertension, diabetes, tobacco use, and obesity), and the outcome, APOs (hypertensive disorders of pregnancy, gestational diabetes, preterm delivery, low birth weight, and stillbirth), were identified from electronic medical records. Results: We identified 3760 unique delivering individuals, of whom 55.1% self-identified as Black non-Hispanic and 17% as Hispanic. Prepregnancy CVD risk factor prevalence was 45.6%, most commonly obesity (26.6%). APO prevalence was 35.6%, most commonly a hypertensive disorder of pregnancy (20.1%). Overall, 45.7% of APOs occurred in the absence of recognized prepregnancy CVD risk factors, representing 16.3% of the total sample. Among individuals without prepregnancy CVD risk factors, APO prevalence was 30.0% and did not vary by race/ethnicity. Conclusions: In this racially and ethnically diverse hospital-based sample, APOs were present in one in three parous individuals without prepregnancy CVD risk factors-a group with potentially elevated CVD risk who might otherwise be missed by traditional CVD risk factor screening.

Neighborhood factors and triple negative breast cancer: The role of cumulative exposure to area-level risk factors

BACKGROUND

Despite similar incidence rates among Black and White women, breast cancer mortality rates are 40% higher among Black women. More than half of the racial difference in breast cancer mortality can be attributed to triple negative breast cancer (TNBC), an aggressive subtype of invasive breast cancer that disproportionately affects Black women. Recent research has implicated neighborhood conditions in the etiology of TNBC. This study investigated the relationship between cumulative neighborhood-level exposures and TNBC risk.

METHODS

This single-institution retrospective study was conducted on a cohort of 3316 breast cancer cases from New Castle County, Delaware (from 2012 to 2020), an area of the country with elevated TNBC rates. Cases were stratified into TNBC and "Non-TNBC" diagnosis and geocoded by residential address. Neighborhood exposures included census tract-level measures of unhealthy alcohol use, metabolic dysfunction, breastfeeding, and environmental hazards. An overall cumulative risk score was calculated based on tract-level exposures.

RESULTS

Univariate analyses showed each tract-level exposure was associated with greater TNBC odds. In multivariate analyses that controlled for patient-level race and age, tract-level exposures were not associated with TNBC odds. However, in a second multivariate model that included patient-level variables and considered tract-level risk factors as a cumulative exposure risk score, each one unit increase in cumulative exposure was significantly associated with a 10% increase in TNBC odds. Higher cumulative exposure risk scores were found in census tracts with relatively high proportions of Black residents.

CONCLUSIONS

Cumulative exposure to neighborhood-level risk factors that disproportionately affect Black communities was associated with greater TNBC risk.

Assessment of the Validity of Administrative Data for Gestational Diabetes Ascertainment

BACKGROUND

Administrative data, including International Classification of Diseases codes and birth certificate records, are often used for retrospective gestational diabetes research investigations to describe associations of gestational diabetes with perinatal complications and long-term outcomes, and to determine gestational diabetes prevalence. Research investigating the validity of using International Classification of Diseases codes and birth certificates for gestational diabetes ascertainment shows varying degrees of reliability.

OBJECTIVE

This study aimed to evaluate the accuracy of both International Classification of Diseases codes and birth certificate diagnosis for gestational diabetes ascertainment in a large hospital-based cohort of pregnant individuals, using laboratory criteria for gestational diabetes mellitus as the reference.

STUDY DESIGN

We studied individuals who received prenatal care at an academic hospital and affiliated community health centers between 1998 and 2016. In the setting of universal 2-step screening for gestational diabetes, pregnant individuals were classified as having gestational diabetes if ≥2 oral glucose tolerance test values met or exceeded National Diabetes Data Group thresholds. We calculated the sensitivity, specificity, positive predictive value, and negative predictive value for International Classification of Diseases code and birth certificate ascertainment of gestational diabetes, and their exact binomial 95% confidence intervals.

RESULTS

In a cohort of 51,059 pregnancies with complete glucose screening, 1303 (2.6%) met National Diabetes Data Group laboratory criteria for gestational diabetes. Gestational diabetes International Classification of Diseases codes had moderate sensitivity of 70.5% (95% confidence interval, 67.9-72.9), high specificity of 99.3% (95% confidence interval, 99.3-99.4), a positive predictive value of 73.3% (95% confidence interval, 70.8-75.8), and a negative predictive value of 99.2% (95% confidence interval, 99.1-99.3). In the 46,512 pregnancies linked to birth certificate data, birth certificate diagnosis had moderate sensitivity (66.3% [95% confidence interval, 63.6-69.0]), high specificity (98.9% [95% confidence interval, 98.8-99.0]), moderate positive predictive value (62.1% [95% confidence interval, 59.8-64.4]), and high negative predictive value (99.1% [95% confidence interval, 99.0-99.2]).

CONCLUSION

Ascertainment of gestational diabetes using administrative data, including International Classification of Diseases codes or birth certificates, has moderate sensitivity, moderate positive predictive value, high specificity, and high negative predictive value. Our findings provide context for interpreting the validity of studies that depend on administrative data for ascertainment of gestational diabetes and comparing them with prospective studies that use laboratory-based gestational diabetes criteria.

Association of Placenta Previa With Severe Maternal Morbidity Among Patients With Placenta Accreta Spectrum Disorder

IMPORTANCE

Placenta previa is widely acknowledged as a risk factor for placenta accreta spectrum (PAS) disorders, which are severe maternal complications; however, data are limited regarding whether placenta previa is associated with a higher risk of worse maternal outcomes among patients with PAS disorders.

OBJECTIVE

To examine the association between placenta previa and the risk of severe maternal morbidities (SMMs) and higher resource use among patients with PAS disorders.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study extracted records of 3793 patients with PAS diagnosis and delivery indicators between October 1, 2015, and December 31, 2019, from the US National Inpatient Sample database.

EXPOSURES

Placenta previa.

MAIN OUTCOMES AND MEASURES

Data on 21 Centers for Disease Control and Prevention-defined SMMs and 25 study-defined surgical morbidities associated with PAS were extracted. Six surgical procedures (cystoscopy, intra-arterial balloon occlusion, cesarean delivery, hysterectomy, cystectomy, and oophorectomy), hospital length of stay, and inpatient costs were compared. Multivariable Poisson regression models built in the generalized estimating equation framework were used.

RESULTS

Among 3793 patients with PAS (median [IQR] age at admission, 33 [29-37] years), 621 women (16.4%) were Black, 765 (20.2%) were Hispanic, 1779 (46.9%) were White, 441 (11.6%) were of other races and/or ethnicities (47 [1.2%] were American Indian, 220 [5.8%] were Asian or Pacific Islander, and 174 [4.6%] were of multiple or other races and/or ethnicities), and 187 (4.9%) were of unknown race and ethnicity. A total of 1323 patients (34.9%) had placenta previa and 2470 patients (65.1%) did not; of those with placenta previa, 405 patients (30.6%) had invasive PAS. Patients with vs without placenta previa had a significantly higher rate and risk of any SMM (935 women [70.7%] vs 1087 women [44.0%]; P < .001; adjusted risk ratio [aRR], 1.19; 95% CI, 1.12-1.27) and any surgical morbidity (1170 women [88.4%] vs 1667 women [67.5%]; P < .001; aRR, 1.18; 95% CI, 1.13-1.23). With regard to specific outcomes, those with vs without placenta previa had a significantly higher rate of peripartum hemorrhage (878 patients [66.4%] vs 1217 patients [49.3%]; P < .001), blood product transfusion (413 patients [31.2%] vs 610 patients [24.7%]; P < .001), shock (83 patients [6.3%] vs 108 patients [4.4%]; P = .01), disseminated intravascular coagulation or other coagulopathy (77 patients [5.8%] vs 105 patients [4.3%]; P = .04), and urinary tract injury (44 patients [3.3%] vs 41 patients [1.7%]; P = .002). Patients with vs without placenta previa were more likely to undergo cesarean delivery (1292 patients [97.7%] vs 1787 patients [72.3%]; P < .001), hysterectomy (786 patients [59.4%] vs 689 patients [27.9%]; P < .001), cystoscopy (301 patients [22.8%] vs 203 patients [8.2%]; P < .001), cystectomy (157 patients [11.9%] vs 98 patients [4.0%]; P < .001), and intra-arterial balloon occlusion (121 patients [9.1%] vs 77 patients [3.1%]; P < .001) and to have significantly longer hospital length of stay (median [IQR], 5 [4-11] days vs 3 [3-5] days; P < .001) and total inpatient costs (median [IQR], $17 496 [$10 863-$30 619] vs $9728 [$6130-$16 790]; P < .001). Hypertensive disorder of pregnancy was associated with a decreased risk of placenta previa (aRR, 0.67; 95% CI, 0.46-0.96) among patients with PAS.

CONCLUSIONS AND RELEVANCE

In this study, placenta previa was associated with an increased risk of maternal and surgical morbidities and higher resource use among women with PAS. These findings suggest that interventions to alleviate maternal and surgical morbidities are especially needed for patients with placenta previa-complicated PAS disorders.

Double, Triple, and Quadruple Jeopardy: Entering Pregnancy With Two or More Multimorbid Diagnoses and Increased Risk of Severe Maternal Morbidity and Postpartum Readmission

INTRODUCTION

Multimorbidity, the presence of two or more chronic disease diagnoses, is associated with an increased risk of mortality and high health care costs in the general population and older adults. However, little evidence is available about the prevalence and impact of multimorbidity in obstetric populations. The goal of this analysis was to estimate the association between multimorbidity and severe maternal morbidity (SMM) and 90-day postpartum readmission in an obstetric cohort in Atlanta, Georgia.

STUDY DESIGN

We conducted a retrospective cohort study of livebirths and stillbirths at Grady Memorial Hospital, from October 2015 to April 2021. To determine preexisting chronic conditions, we linked information on births to inpatient diagnoses within the prior year. Multimorbidity was defined as the presence of two or more chronic disease diagnoses at birth or within the prior year. We conducted multivariable log binomial regression to estimate risk ratios and 95% confidence intervals for the crude and adjusted (for age, race/ethnicity, parity, and insurance) association between multimorbidity (two or more chronic conditions vs. zero or one) and SMM (at or within 42 days after birth) or 90-day postpartum readmission for any reason.

RESULTS

Of 14,225 included births, 10.1% were to patients with multimorbidity. Overall, SMM complicated 7.5% of births, and the 90-day readmission rate was 2.4%. Both SMM and readmission were more common among women with multimorbidity (SMM, 18.6% among women with multimorbidity compared with 6.3% without; 90-day readmission, 5.4% compared with 2.1%). Adjusting for potential confounders, multimorbidity was associated with increased risk of SMM (adjusted risk ratio, 2.9; 95% confidence interval, 2.5-3.0) and readmission (adjusted risk ratio, 2.2; 95% confidence interval, 1.7-2.9).

CONCLUSIONS

Individuals entering pregnancy with two or more chronic diseases were at an increased risk of SMM and postpartum readmission compared with individuals with one or zero chronic disease diagnoses.

Interconception Preventive Care and Recurrence of Pregnancy Complications for Medicaid-Insured Women

Background: Pregnancy complications may recur and are associated with potentially modifiable risks. The role of interconception preventive care in reducing repeat pregnancy complications is understudied. Materials and Methods: This retrospective cohort used 2007-2012 Medicaid claims from 12 states. Included women who had an index birth complicated by prematurity, hypertension, or diabetes, a subsequent birth within 36 months, and Medicaid eligibility for ≥11 of 12 months after index birth. Logistic regression assessed for an association between the exposure of preventive visits in the year after index birth and primary outcomes of prematurity, hypertension, or diabetes in the subsequent pregnancy. Regression adjusted for confounders including demographics (age, race and ethnicity, rural residence, state), index pregnancy features (complications, prenatal visits, multiple gestation, maternal and infant length of stay, year), visits to address complications in the index birth, and interpregnancy interval. Results: Of 17,372 women, mean age was 24.3 ± 5.3 years, and race/ethnicity was 50.3% non-Hispanic White, 27.2% non-Hispanic Black, and 11.9% Hispanic. In the index pregnancy 43.3% experienced prematurity, 39.2% experienced hypertension, and 34.2% experienced diabetes. In the year after the index pregnancy, 54.7% had at least one preventive visit. In the second pregnancy, 47.7% experienced prematurity, hypertension, or diabetes. Recurrence rates were 28.1% for preterm birth, 38.0% for hypertension, and 48.3% for diabetes. Preventive visits were associated with reduced hypertension in the subsequent pregnancy (OR 0.88, 95% CI 0.82-0.97) but not reduced preterm birth or diabetes. Conclusions: Preventive visits after an index birth complicated by prematurity, hypertension, or diabetes were associated with 10% lower odds of hypertension in a subsequent pregnancy, but not with reductions in diabetes or prematurity. Some complications may be more amenable to interconception preventive services than others.

Risk of Adverse Pregnancy Outcomes Among Pregnant Individuals With Gestational Diabetes by Race and Ethnicity in the United States, 2014-2020

IMPORTANCE

Gestational diabetes, which increases the risk of adverse pregnancy outcomes, has been increasing in frequency across all racial and ethnic subgroups in the US.

OBJECTIVE

To assess whether the frequency of adverse pregnancy outcomes among those in the US with gestational diabetes changed over time and whether the risk of these outcomes differed by maternal race and ethnicity.

DESIGN, SETTING, AND PARTICIPANTS

Exploratory serial, cross-sectional, descriptive study using US National Center for Health Statistics natality data for 1 560 822 individuals with gestational diabetes aged 15 to 44 years with singleton nonanomalous live births from 2014 to 2020 in the US.

EXPOSURES

Year of delivery and race and ethnicity, as reported on the birth certificate, stratified as non-Hispanic American Indian, non-Hispanic Asian/Pacific Islander, non-Hispanic Black, Hispanic/Latina, and non-Hispanic White (reference group).

MAIN OUTCOMES AND MEASURES

Maternal outcomes of interest included cesarean delivery, primary cesarean delivery, preeclampsia or gestational hypertension, intensive care unit (ICU) admission, and transfusion; neonatal outcomes included large for gestational age (LGA), macrosomia (>4000 g at birth), small for gestational age (SGA), preterm birth, and neonatal ICU (NICU) admission, as measured by the frequency (per 1000 live births) with estimation of mean annual percentage change (APC), disparity ratios, and adjusted risk ratios.

RESULTS

Of 1 560 822 included pregnant individuals with gestational diabetes (mean [SD] age, 31 [5.5] years), 1% were American Indian, 13% were Asian/Pacific Islander, 12% were Black, 27% were Hispanic/Latina, and 48% were White. From 2014 to 2020, there was a statistically significant increase in the overall frequency (mean APC per year) of preeclampsia or gestational hypertension (4.2% [95% CI, 3.3% to 5.2%]), transfusion (8.0% [95% CI, 3.8% to 12.4%]), preterm birth at less than 37 weeks (0.9% [95% CI, 0.3% to 1.5%]), and NICU admission (1.0% [95% CI, 0.3% to 1.7%]). There was a significant decrease in cesarean delivery (-1.4% [95% CI, -1.7% to -1.1%]), primary cesarean delivery (-1.2% [95% CI, -1.5% to -0.9%]), LGA (-2.3% [95% CI, -2.8% to -1.8%]), and macrosomia (-4.7% [95% CI, -5.3% to -4.0%]). There was no significant change in maternal ICU admission and SGA. In comparison with White individuals, Black individuals were at significantly increased risk of all assessed outcomes, except LGA and macrosomia; American Indian individuals were at significantly increased risk of all assessed outcomes except cesarean delivery and SGA; and Hispanic/Latina and Asian/Pacific Islander individuals were at significantly increased risk of maternal ICU admission, preterm birth, NICU admission, and SGA. Differences in adverse outcomes by race and ethnicity persisted through these years.

CONCLUSIONS AND RELEVANCE

From 2014 through 2020, the frequency of multiple adverse pregnancy outcomes in the US increased among pregnant individuals with gestational diabetes. Differences in adverse outcomes by race and ethnicity persisted.