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Quinn DA, Sileanu FE, Mor MK, Callegari LS, Borrero S. Describing Adverse Pregnancy Events and Pregnancy-Associated Death Among Veterans. J Womens Health (Larchmt) 2024. [PMID: 39302209 DOI: 10.1089/jwh.2023.1046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2024] Open
Abstract
Background: Veterans who use VA pregnancy benefits may be at high risk for adverse pregnancy outcomes; however, little is known about rates of adverse pregnancy events or pregnancy-associated death among Veterans. Methods: We conducted a retrospective cohort study using VA national administrative data for Veterans ages 18-45 with at least one pregnancy outcome between October 2009 and September 2016 and a VA primary care visit within one year prior to pregnancy. We identified adverse events during pregnancy and up to 42 days after pregnancy and all-cause mortality within one year of pregnancy and compared prevalence of adverse events by Veteran race/ethnicity using adjusted logistic regression. Results: Pregnancies among Black Veterans had 69% higher odds of any adverse event than those among White Veterans (aOR = 1.69, 95% CI: 1.43, 2.00). All-cause mortality during pregnancy or within one year of pregnancy was recorded for 18 pregnancies, resulting in an estimated overall pregnancy-associated mortality rate of 76 deaths per 100,000 live births. Conclusions: We identified high overall rates of adverse pregnancy events and pregnancy-associated death among Veterans using VA benefits. As in non-VA populations, there were stark racial disparities in adverse pregnancy events among Veterans.
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Affiliation(s)
- Deirdre A Quinn
- Center for Health Equity Research & Promotion (CHERP), VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
- Center for Innovative Research on Gender Health Equity (CONVERGE), University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Florentina E Sileanu
- Center for Health Equity Research & Promotion (CHERP), VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Maria K Mor
- Center for Health Equity Research & Promotion (CHERP), VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
- Department of Biostatistics, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lisa S Callegari
- Departments of Obstetrics & Gynecology and Health Services, University of Washington, Seattle, Washington, USA
- Center for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington, USA
| | - Sonya Borrero
- Center for Health Equity Research & Promotion (CHERP), VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
- Center for Innovative Research on Gender Health Equity (CONVERGE), University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Research on Health Care, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Jarlenski M, Kennedy S, Johnson A, Hale C, D'Angelo Z, Nedhari A, Coffee G, Chappell-McPhail M, Green K, Méndez DD, Goetschius LG, Gareau S, Ashford K, Barnes AJ, Ahrens KA, Zivin K, Mosley E, Tang L. Study protocol: a mixed-methods study of the implementation of doula care to address racial health equity in six state Medicaid programs. Health Res Policy Syst 2024; 22:98. [PMID: 39118099 PMCID: PMC11308708 DOI: 10.1186/s12961-024-01185-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Accepted: 07/22/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Racial inequities in severe maternal morbidity (SMM) and mortality constitute a public health crisis in the United States. Doula care, defined as care from birth workers who provide culturally appropriate, non-clinical support during pregnancy and postpartum, has been proposed as an intervention to help disrupt obstetric racism as a driver of adverse pregnancy outcomes in Black and other birthing persons of colour. Many state Medicaid programs are implementing doula programs to address the continued increase in SMM and mortality. Medicaid programs are poised to play a major role in addressing the needs of these populations with the goal of closing the racial gaps in SMM and mortality. This study will investigate the most effective ways that Medicaid programs can implement doula care to improve racial health equity. METHODS We describe the protocol for a mixed-methods study to understand how variation in implementation of doula programs in Medicaid may affect racial equity in pregnancy and postpartum health. Primary study outcomes include SMM, person-reported measures of respectful obstetric care, and receipt of evidence-based care for chronic conditions that are the primary causes of postpartum mortality (cardiovascular, mental health, and substance use conditions). Our research team includes doulas, university-based investigators, and Medicaid participants from six sites (Kentucky, Maryland, Michigan, Pennsylvania, South Carolina and Virginia) in the Medicaid Outcomes Distributed Research Network (MODRN). Study data will include policy analysis of doula program implementation, longitudinal data from a cohort of doulas, cross-sectional data from Medicaid beneficiaries, and Medicaid healthcare administrative data. Qualitative analysis will examine doula and beneficiary experiences with healthcare systems and Medicaid policies. Quantitative analyses (stratified by race groups) will use matching techniques to estimate the impact of using doula care on postpartum health outcomes, and will use time-series analyses to estimate the average treatment effect of doula programs on population postpartum health outcomes. DISCUSSION Findings will facilitate learning opportunities among Medicaid programs, doulas and Medicaid beneficiaries. Ultimately, we seek to understand the implementation and integration of doula care programs into Medicaid and how these processes may affect racial health equity. Study registration The study is registered with the Open Science Foundation ( https://doi.org/10.17605/OSF.IO/NXZUF ).
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Affiliation(s)
- Marian Jarlenski
- Department of Health Policy and Management, University of Pittsburgh School of Public Health, 130 DeSoto St, A619, Pittsburgh, PA, 15261, United States of America.
- Center for Innovative Research On Gender Health Equity, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America.
| | - Susan Kennedy
- AcademyHealth, Washington, DC, United States of America
| | | | - Caroline Hale
- AcademyHealth, Washington, DC, United States of America
| | - Zoe D'Angelo
- AcademyHealth, Washington, DC, United States of America
| | - Aza Nedhari
- Mamatoto Village, Washington, DC, United States of America
| | - Gerria Coffee
- Genesis Birth Services, Williamsport, PA, United States of America
- PA Doula Commission, Landsdowne, PA, United States of America
| | | | - Kiddada Green
- Black Mothers' Breastfeeding Association, Detroit, MI, United States of America
| | - Dara D Méndez
- Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States of America
- Center for Health Equity, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States of America
| | - Leigh G Goetschius
- The Hilltop Institute, University of Maryland, Baltimore County, Baltimore, MD, United States of America
| | - Sarah Gareau
- Institute for Families in Society, College of Social Work, University of South Carolina, Columbia, SC, United States of America
| | - Kristin Ashford
- College of Nursing, University of Kentucky, Lexington, United States of America
| | - Andrew J Barnes
- Health Policy, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Katherine A Ahrens
- Public Health Program, Muskie School of Public Service, University of Southern Maine, Portland, ME, United States of America
| | - Kara Zivin
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, United States of America
| | - Elizabeth Mosley
- Center for Innovative Research On Gender Health Equity, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America
| | - Lu Tang
- Department of Biostatistics, University of Pittsburgh School of Public Health, Pittsburgh, PA, United States of America
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Raktong W, Sawaddisan R, Peeyananjarassri K, Suwanrath C, Geater A. Predictors and a scoring model for maternal near-miss and maternal death in Southern Thailand: a case-control study. Arch Gynecol Obstet 2024; 310:1055-1062. [PMID: 38713295 DOI: 10.1007/s00404-024-07539-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 04/24/2024] [Indexed: 05/08/2024]
Abstract
PURPOSE To identify predictors and develop a scoring model to predict maternal near-miss (MNM) and maternal mortality. METHODS A case-control study of 1,420 women delivered between 2014 and 2020 was conducted. Cases were women with MNM or maternal death, controls were women who had uneventful deliveries directly after women in the cases group. Antenatal characteristics and complications were reviewed. Multivariate logistic regression and Akaike information criterion were used to identify predictors and develop a risk score for MNM and maternal mortality. RESULTS Predictors for MNM and maternal mortality (aOR and score for predictive model) were advanced age (aOR 1.73, 95% CI 1.25-2.39, 1), obesity (aOR 2.03, 95% CI 1.22-3.39, 1), parity ≥ 3 (aOR 1.75, 95% CI 1.27-2.41, 1), history of uterine curettage (aOR 5.13, 95% CI 2.47-10.66, 3), history of postpartum hemorrhage (PPH) (aOR 13.55, 95% CI 1.40-130.99, 5), anemia (aOR 5.53, 95% CI 3.65-8.38, 3), pregestational diabetes (aOR 5.29, 95% CI 1.27-21.99, 3), heart disease (aOR 13.40, 95%CI 4.42-40.61, 5), multiple pregnancy (aOR 5.57, 95% CI 2.00-15.50, 3), placenta previa and/or placenta-accreta spectrum (aOR 48.19, 95% CI 22.75-102.09, 8), gestational hypertension/preeclampsia without severe features (aOR 5.95, 95% CI 2.64-13.45, 4), and with severe features (aOR 16.64, 95% CI 9.17-30.19, 6), preterm delivery <37 weeks (aOR 1.65, 95%CI 1.06-2.58, 1) and < 34 weeks (aOR 2.71, 95% CI 1.59-4.62, 2). A cut-off score of ≥4 gave the highest chance of correctly classified women into high risk group with 74.4% sensitivity and 90.4% specificity. CONCLUSIONS We identified predictors and proposed a scoring model to predict MNM and maternal mortality with acceptable predictive performance.
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Affiliation(s)
- Wipawan Raktong
- Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Rapphon Sawaddisan
- Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
| | - Krantarat Peeyananjarassri
- Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Chitkasaem Suwanrath
- Department of Obstetrics and Gynecology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Alan Geater
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla, University, Songkhla, Thailand
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Spinner C, Huber LRB. How Much is too Much? High Utilization of Prenatal Care and Its Impact on Primary Cesarean Birth Among Women in the United States. Matern Child Health J 2024; 28:1160-1167. [PMID: 38261276 DOI: 10.1007/s10995-023-03887-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 01/24/2024]
Abstract
INTRODUCTION Nationally, cesarean birth is one of the most performed surgical procedures, yet cesarean births have been linked to an increased risk of delivery complications. Prenatal care (PNC) and education are possible strategies to reduce the number of cesarean births. However, there is scant research assessing the impact of these strategies on safely reducing primary cesarean births. This study evaluates the association between the adequacy of PNC utilization and primary cesarean birth. METHODS The analysis used 2018 birth certificate data, and the sample included nulliparous women with no reported pregnancy or delivery complications (N = 729,140). Logistic regression was used to model the association between the adequacy of PNC utilization and delivery method, as well as identify other factors associated with the delivery method. RESULTS Among women with a primary cesarean birth, 36.2% had received adequate plus PNC. After adjustment, there was no significant association between women receiving inadequate, intermediate, or adequate PNC and primary cesarean birth. However, women who received adequate plus PNC had an increased odds of having a primary cesarean birth compared to women with no PNC (OR, 1.23; 95% CI, 1.18-1.28). DISCUSSION Findings from this study highlight the need to further understand the role of PNC and its potential impact on the delivery method. Within the patient-provider relationship, healthcare providers have the unique opportunity to provide education and inform patients of the risks and benefits of all delivery options. Thus, there is an increased opportunity to safely reduce primary cesarean births.
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Affiliation(s)
- Chelse Spinner
- Department of Public Health Sciences, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, North Carolina, 28223, USA.
| | - Larissa R Brunner Huber
- Department of Public Health Sciences, University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, North Carolina, 28223, USA
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Hales EDS, Ferketich AK, Klebanoff MA. The racial disparity of severe maternal morbidity across weeks of gestation: a cross-sectional analysis of the 2019 National Inpatient Sample. Am J Obstet Gynecol 2024; 231:126.e1-126.e12. [PMID: 37979826 DOI: 10.1016/j.ajog.2023.11.1228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 11/03/2023] [Accepted: 11/09/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Severe maternal morbidity is increasing in the United States. Black women experience the highest rates of severe maternal morbidity and also of preterm births, which are associated with severe maternal morbidity. The racial disparity of severe maternal morbidity across weeks of gestation has not been well-studied. OBJECTIVE This study aimed to evaluate differences in severe maternal morbidity between Black and White birthing people by week of gestation. Differences may indicate periods of pregnancy when Black women are particularly vulnerable to severe maternal morbidity and may require additional interventions. STUDY DESIGN This was a cross-sectional study using the National Inpatient Sample from 2019. We used International Classification of Diseases codes from Centers for Disease Control and Prevention guidelines to identify severe maternal morbidity from delivery hospitalizations. We examined the rates of severe maternal morbidity in Black vs White women by week of gestation to evaluate periods of pregnancy when Black women experience additional risks of severe maternal morbidity while adjusting for age, region, medical comorbidities, and Medicaid enrollment. Severe maternal morbidity was analyzed while both including and excluding cases for which blood transfusion was the only indicator of severe maternal morbidity. RESULTS Overall, Black birthing people had twice the rate of severe maternal morbidity births compared with White birthing people (2.7% vs 1.3%; P<.0001) and were more likely to deliver preterm (14.7% vs 9.4%; P<.0001). The racial disparity of severe maternal morbidity was present throughout all weeks of gestation, with the largest gap observed at extremely and moderately preterm gestations (22-33 weeks). Rates of severe maternal morbidity for Black women peaked at 22 to 33 weeks' gestation and were lowest at term (≥37 weeks). Black women had a greater proportion of severe maternal morbidity cases due to blood transfusion (68.3% vs 64.5%; P<.01) and acute renal failure (11.1% vs 8.5%; P<.001). CONCLUSION Black women experience a substantially higher rate of severe maternal morbidity at preterm gestations (22-36 weeks) in addition to higher rates of preterm delivery. Even when accounting for age, medical comorbidities, and social determinants, Black birthing people have higher odds of severe maternal morbidity throughout pregnancy.
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Affiliation(s)
- Emily D S Hales
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH
| | - Amy K Ferketich
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH
| | - Mark A Klebanoff
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH; Center for Perinatal Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH.
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Fineberg AE, Harley K, Lahiff M, Main EK. The relative impact of labor induction versus improved labor management: Before and after the ARRIVE (a randomized trial of induction vs. expectant management) trial. Birth 2024. [PMID: 38877812 DOI: 10.1111/birt.12845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/06/2024] [Accepted: 05/02/2024] [Indexed: 06/16/2024]
Abstract
OBJECTIVE To evaluate the association of labor induction on cesarean delivery and other maternal and neonatal outcomes in low-risk, full-term patients in community hospitals during a period of concerted effort to safely prevent cesarean delivery. METHODS We performed a retrospective cohort study using the California Maternal Data Center comprised linked discharge diagnoses and birth certificate data for all low-risk, nulliparous, term, singleton, vertex (NTSV) individuals between 39 and 41 weeks from three Sacramento Valley community hospitals from 2016 to 2022 (N = 10,821) during a period of state-wide efforts to safely reduce cesarean rates. Logistic regression was used to calculate odds ratios (ORs) and adjusted odds ratios (aORs) after labor induction in two time periods before and after the ARRIVE trial. RESULTS During the study period, labor induction increased from 14.7% to 23.1%. Controlling for maternal age, pre-pregnancy BMI, birthweight, maternal race and ethnicity, birthplace, English language, gestational age, Medicaid status, delivery year, and labor induction was associated with an increased aOR of 1.67 (95% CI 1.48-1.89) for cesarean delivery. We found a trend toward increased aOR of chorioamnionitis but no differences in blood transfusion, severe maternal morbidity, unexpected newborn complications, chorioamnionitis, operative vaginal delivery, maternal lacerations, and shoulder dystocia with labor induction. A decrease aOR of cesarean delivery was observed comparing all births in 2019-2021 to 2016-2018. CONCLUSION Labor induction was associated with an increased aOR for cesarean delivery both before and after the ARRIVE trial. A decreased aOR for cesarean delivery was observed during the period of statewide efforts to safely reduce cesarean delivery both with and without labor induction.
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Affiliation(s)
- Annette E Fineberg
- Sutter Medical Group, Sacramento, California, USA
- School of Public Health, University of California Berkeley, Berkeley, California, USA
| | - Kim Harley
- Maternal Child and Adolescent Health School of Public Health, University of California, Berkeley, California, USA
| | - Maureen Lahiff
- School of Public Health, University of California Berkeley, Berkeley, California, USA
| | - Elliott K Main
- California Maternal Quality Care Collaborative, Palo Alto, California, USA
- Clinical Professor of Obstetrics and Gynecology, Stanford University School of Medicine, Palo Alto, California, USA
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7
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Mwancha-Kwasa M, Admani R, Mbuga M, Maina M, Mwangi J, Ng'ang'a L, Waweru M, Mwangi S, Nyaga P, Kamondo D, Ochieng GA, Juttla PK, Nyotu R, Kimani TN, Ndiritu M. Comparing labour induction outcomes using misoprostol and dinoprostone in term pregnancies: A retrospective study at Kiambu Level 5 Hospital between 2018 and 2020. PLoS One 2024; 19:e0304631. [PMID: 38820427 PMCID: PMC11142478 DOI: 10.1371/journal.pone.0304631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 05/15/2024] [Indexed: 06/02/2024] Open
Abstract
BACKGROUND The Maternal and Perinatal Death Surveillance and Response (MPDSR) was introduced in Kenya in 2016 and implemented at Kiambu Level 5 Hospital (KL5H) three years later in 2019. During a routine MPDSR meeting at KL5H, committee members identified a possible link between the off-label use of 200mcg misoprostol tablets divided eight times to achieve the necessary dose for labour induction (25mcg) and maternal deaths. Following this, an administrative decision was made to switch from misoprostol to dinoprostone for the induction of labour in June of 2019. This study aimed to assess the overall impact of MPDSR as well as the effect of replacing misoprostol with dinoprostone on uterine rupture, maternal and neonatal deaths at KL5H. METHODS We conducted a retrospective cohort study of women who gave birth at KL5H between January 2018 and December 2020. We defined the pre-intervention period as January 2018-June 2019, and the intervention period as July 2019-December 2020. We randomly selected the records of 411 mothers, 167 from the pre-intervention period and 208 from the intervention period, all of whom were induced. We used Bayes-Poisson Generalised Linear Models to fit the risk of uterine rupture, maternal and perinatal death. 12 semi-structured key person questionnaires was used to describe staff perspectives regarding the switch from misoprostol to dinoprostone. Inductive and deductive data analysis was done to capture the salient emerging themes. RESULTS We reviewed 411 patient records and carried out 12 key informant interviews. Mothers induced with misoprostol (IRR = 3.89; CI = 0.21-71.6) had an increased risk of death while mothers were less likely to die if they were induced with dinoprostone (IRR = 0.23; CI = 0.01-7.12) or had uterine rupture (IRR = 0.56; CI = 0.02-18.2). The risk of dying during childbearing increased during Jul 2019-Dec 2020 (IRR = 5.43, CI = 0.68-43.2) when the MPDSR activities were strengthened. Induction of labour (IRR = 1.01; CI = 0.06-17.1) had no effect on the risk of dying from childbirth in our setting. The qualitative results exposed that maternity unit staff preferred dinoprostone to misoprostol as it was thought to be more effective (fewer failed inductions) and safer, regardless of being more expensive compared to misoprostol. CONCLUSION While the period immediately following the implementation of MPDSR at KL5H was associated with an increased risk of death, the switch to dinoprostone for labour induction was associated with a lower risk of maternal and perinatal death. The use of dinoprostone, however, was linked to an increased risk of uterine rupture, possibly attributed to reduced labour monitoring given that staff held the belief that it is inherently safer than misoprostol. Consequently, even though the changeover was warranted, further investigation is needed to determine the reasons behind the rise in maternal mortalities, even though the MPDSR framework appeared to have been put in place to quell such an increase.
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Affiliation(s)
| | - Rashida Admani
- Kiambu Level Five Hospital, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Margaret Mbuga
- Kiambu Level Five Hospital, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Mary Maina
- Kiambu Level Five Hospital, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Jonathan Mwangi
- School of Pharmacy and Health Sciences, United States International University, Nairobi, Kenya
| | - Lucy Ng'ang'a
- Kiambu Level Five Hospital, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Margaret Waweru
- Kiambu Level Five Hospital, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Sarah Mwangi
- Kiambu Level Five Hospital, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Patrick Nyaga
- Department of Health, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Davis Kamondo
- Department of Health, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Grace Akech Ochieng
- Kiambu Level Five Hospital, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | - Prabhjot Kaur Juttla
- Faculty of Health Sciences, School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Ryan Nyotu
- Department of Health, County Government of Kiambu, Kiambu, Kiambu County, Kenya
| | | | - Moses Ndiritu
- Department of Health, County Government of Kiambu, Kiambu, Kiambu County, Kenya
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El Ayadi AM, Lyndon A, Kan P, Mujahid MS, Leonard SA, Main EK, Carmichael SL. Trends and Disparities in Severe Maternal Morbidity Indicator Categories during Childbirth Hospitalization in California from 1997 to 2017. Am J Perinatol 2024; 41:e3341-e3350. [PMID: 38057087 PMCID: PMC11153031 DOI: 10.1055/a-2223-3520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
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..
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Affiliation(s)
- Alison M. El Ayadi
- Department of Obstetrics, Gynecology and Reproductive Sciences, Department of Epidemiology and Biostatistics, University of California, San Francisco, California
| | - Audrey Lyndon
- NYU Rory Meyers College of Nursing, New York, New York
| | - Peiyi Kan
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California
| | - Mahasin S. Mujahid
- Division of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, California
| | - Stephanie A. Leonard
- Department of Obstetrics and Gynecology, Dunlevie Maternal-Fetal Medicine Center, Stanford University School of Medicine, Stanford, California
| | - Elliott K. Main
- Department of Obstetrics and Gynecology, Dunlevie Maternal-Fetal Medicine Center, Stanford University School of Medicine, Stanford, California
| | - Suzan L. Carmichael
- Department of Pediatrics, Department of Obstetrics and Gynecology, Stanford University, Stanford, California
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Dinsmoor MJ, Ugwu LG, Bailit JL, Reddy UM, Wapner RJ, Varner MW, Thorp JM, Caritis SN, Prasad M, Tita AT, Saade GR, Sorokin Y, Rouse DJ, Blackwell SC, Tolosa JE. Association of Maternal Body Mass Index and Maternal Morbidity And Mortality. Am J Perinatol 2024; 41:e204-e211. [PMID: 35709726 PMCID: PMC9978039 DOI: 10.1055/a-1877-8918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study aimed to assess the association of maternal body mass index (BMI) with a composite of severe maternal outcomes. STUDY DESIGN Secondary analysis of a cohort of deliveries on randomly selected days at 25 hospitals from 2008 to 2011. Data on comorbid conditions, intrapartum events, and postpartum course were collected. The reference group (REF, BMI: 18.5-29.9kg/m2), obese (OB; BMI: 30-39.9kg/m2), morbidly obese (MO; BMI: 40-49.9kg/m2), and super morbidly obese (SMO; BMI ≥ 50kg/m2) women were compared. The composite of severe maternal outcomes was defined as death, intensive care unit (ICU) admission, ventilator use, deep venous thrombosis/pulmonary embolus (DVT/PE), sepsis, hemorrhage, disseminated intravascular coagulation (DIC), unplanned operative procedure, or stroke. Patients in the REF group were matched 1:1 with those in all other obesity groups based on propensity score using the baseline characteristics of age, race/ethnicity, previous cesarean, preexisting diabetes, chronic hypertension, parity, cigarette use, and insurance status. Multivariable Poisson's regression was used to estimate adjusted relative risks (aRRs) and 95% confidence intervals (CIs) for the association between BMI and the composite outcome. Because cesarean delivery may be in the causal pathway between obesity and adverse maternal outcomes, models were then adjusted for mode of delivery to evaluate potential mediation. RESULTS A total of 52,162 pregnant patients are included in the analysis. Risk of composite maternal outcomes was increased for SMO compared with REF but not for OB and MO [OB: aRR=1.06, 95% CI: 0.99-1.14; MO: aRR=1.10, 95% CI: 0.97-1.25; SMO: aRR=1.32, 95% CI: 1.02-1.70]. However, in the mediation analysis, cesarean appears to mediate 46% (95% CI: 31-50%) of the risk of severe morbidity for SMO compared with REF. CONCLUSION Super morbid obesity is significantly associated with increased serious maternal morbidity and mortality; however, cesarean appears to mediate this association. Obesity and morbid obesity are not associated with maternal morbidity and mortality. KEY POINTS · Super morbid obesity is associated with increased morbidity.. · Cesarean appears to mediate the association between super morbid obesity and morbidity.. · Obesity and morbid maternal obesity are not associated with morbidity..
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Affiliation(s)
- Mara J. Dinsmoor
- Departments of Obstetrics and Gynecology of Northwestern University, Chicago, Illinois
| | - Lynda G. Ugwu
- George Washington University Biostatistics Center, Washington, District of Columbia
| | - Jennifer L. Bailit
- Departments of Obstetrics and Gynecology, MetroHealth Medical Center-Case Western Reserve University, Cleveland, Ohio
| | - Uma M. Reddy
- The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland
| | - Ronald J. Wapner
- Departments of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Michael W. Varner
- Departments of Obstetrics and Gynecology, University of Utah Health Sciences Center, Salt Lake City, Utah
| | - John M. Thorp
- Departments of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Steve N. Caritis
- Departments of Obstetrics and Gynecology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mona Prasad
- Departments of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio
| | - Alan T.N. Tita
- Departments of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama
| | - George R. Saade
- Departments of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Yoram Sorokin
- Departments of Obstetrics and Gynecology, Wayne State University, Detroit, Michigan
| | - Dwight J. Rouse
- Departments of Obstetrics and Gynecology, Brown University, Providence, Rhode Island
| | - Sean C. Blackwell
- Departments of Obstetrics and Gynecology, University of Texas Health Science Center at Houston, McGovern Medical SchoolChildren’s Memorial Hermann Hospital, Houston, Texas
| | - Jorge E. Tolosa
- Departments of Obstetrics and Gynecology, Oregon Health and Science University, Portland, Oregon
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Bane S, Wall-Wieler E, Druzin ML, Carmichael SL. Antihypertensive Medication Use before and during Pregnancy and the Risk of Severe Maternal Morbidity in Individuals with Prepregnancy Hypertension. Am J Perinatol 2024; 41:e728-e738. [PMID: 36261063 PMCID: PMC11421769 DOI: 10.1055/s-0042-1757354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVE Our objective is to examine severe maternal morbidity (SMM) and patterns of antihypertensive medication use before and during pregnancy among individuals with chronic hypertension. STUDY DESIGN We examined 11,759 pregnancies resulting in a live birth or stillbirth to individuals with chronic hypertension and one or more antihypertensive prescription 6 months before pregnancy (Optum, 2007-17). We examined whether study outcomes were associated with the use of medication as compared to no use during pregnancy. In addition, patterns of medication use based on the Food and Drug Administration guidance and literature were evaluated. Medication use was divided into prepregnancy and during pregnancy use and classified as pregnancy recommended (PR) or not pregnancy recommended (nPR) or no medication use. SMM was defined per the Centers for Disease Control and Prevention definition of 21 indicators. Risk ratios (RR) reflecting the association of SMM with the use of antihypertensive medications were computed using modified Poisson regression with robust standard errors and adjusted for maternal age, education, and birth year. RESULTS Overall, 83% of individuals filled an antihypertensive prescription during pregnancy and 6.3% experienced SMM. The majority of individuals with a prescription prior to pregnancy had a prescription for the same medication in pregnancy. Individuals with any versus no medication use in pregnancy had increased adjusted RR (aRR) of SMM (1.18, 95% confidence interval [CI]: 0.96-1.44). Compared to the use of PR medications before and during pregnancy, aRRs were 1.42 (95% CI: 1.18-1.69, 12.4% of sample) for nPR use before and during pregnancy, 1.52 (1.23-1.86; 12.4%) for nPR (before) and PR (during) use, and 2.67 (1.73-4.15) for PR and nPR use. Patterns with no medication use during pregnancy were not statistically significant. CONCLUSION Pattern of antihypertensive medication use before and during pregnancy may be associated with an elevated risk of SMM. Further research is required to elucidate whether this association is related to the severity of hypertension, medication effectiveness, or suboptimal quality of care. KEY POINTS · Individuals with any medication use compared to no medication use in pregnancy had an increased risk of SMM.. · Specific medication use patterns were associated with an elevated risk of SMM.. · Pattern of antihypertensive medication use before and during pregnancy may be associated with an increased risk of SMM..
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Affiliation(s)
- Shalmali Bane
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
| | - Elizabeth Wall-Wieler
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Maurice L Druzin
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California
| | - Suzan L Carmichael
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California
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Ibrahim Sous C, Moravec W, DeFranco E, Kelly EA, Rossi RM. Factors Associated with Maternal Morbidity among Black Women in the United States. Am J Perinatol 2024. [PMID: 38531390 DOI: 10.1055/a-2295-4058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
OBJECTIVE Non-Hispanic Black people (NHBP) have a three-fold higher rate of maternal mortality compared to other racial groups. Racial disparities in maternal morbidity are well-described; however, there are substantial differences in cultural, economic, and social determinants of health among racial groups. We thus sought to study the at-risk, non-Hispanic Black population as its own cohort to identify factors most associated with severe maternal morbidity (SMM). STUDY DESIGN This is a population-based retrospective case-control study of all live births in the United States between 2017 and 2019 using birth records obtained from the National Center for Health Statistics. The primary outcome for this study was to determine demographic, social, medical, and obstetric factors associated with maternal morbidity among NHBP who did and did not experience an SMM event. Multivariable logistic regression was used to estimate the adjusted odds ratio between each individual factor and the outcome of SMM among NHBP. RESULTS Of the 1,624,744 NHBP who delivered between 2017 and 2019, 1.1% experienced an SMM event defined as a composite of blood product transfusion, eclamptic seizure, intensive care unit admission, unplanned hysterectomy, and uterine rupture. The rates of these individual SMM events per 10,000 deliveries were 50, 40, 20, 5, and 4 among NHBP, respectively. Among NHBP, factors associated in multivariable regression analysis with SMM in order of strength of association included cesarean delivery, earlier gestational age at delivery, preeclampsia, induction of labor, chronic hypertension, prior preterm birth, lower educational attainment, multifetal gestation, advanced maternal age, pregestational diabetes, and cigarette smoking. The population attributable fraction for cesarean delivery, preterm birth, and pregnancy-induced hypertensive disease for the outcome of SMM were 0.46, 0.23, and 0.07, respectively. CONCLUSION The three factors most associated with SMM among NHBP are potentially avoidable or modifiable by aggressive screening, prevention, and treatment of preeclampsia and preterm birth as well as reducing cesarean rates in this population. KEY POINTS · The rate of SMM in NHBP may be modifiable.. · NHBP have a three-fold higher rate of maternal mortality.. · Preeclampsia, preterm birth, and cesarean sections are most associated with maternal morbidity..
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Affiliation(s)
- Catrine Ibrahim Sous
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - William Moravec
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Emily DeFranco
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Elizabeth A Kelly
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Robert M Rossi
- Department of Obstetrics and Gynecology, University of Cincinnati College of Medicine, Cincinnati, Ohio
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Hall C, Romano CJ, Bukowinski AT, Gumbs GR, Dempsey KN, Poole AT, Conlin AMS, Lamb SV. Severe Maternal Morbidity among Women in the U. S. Military, 2003-2015. Am J Perinatol 2024; 41:150-159. [PMID: 34891195 DOI: 10.1055/s-0041-1740248] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
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..
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Affiliation(s)
- Clinton Hall
- Deployment Health Research Department, Naval Health Research Center, San Diego, California
- Leidos Inc., San Diego, California
| | - Celeste J Romano
- Deployment Health Research Department, Naval Health Research Center, San Diego, California
- Leidos Inc., San Diego, California
| | - Anna T Bukowinski
- Deployment Health Research Department, Naval Health Research Center, San Diego, California
- Leidos Inc., San Diego, California
| | - Gia R Gumbs
- Deployment Health Research Department, Naval Health Research Center, San Diego, California
- Leidos Inc., San Diego, California
| | - Kaitlyn N Dempsey
- School of Medicine, Uniformed Services University, Bethesda, Maryland
- Department of Obstetrics and Gynecology, Naval Medical Center Portsmouth, Portsmouth, Virginia
| | - Aaron T Poole
- Department of Obstetrics and Gynecology, Naval Medical Center Portsmouth, Portsmouth, Virginia
- Las Palmas Del Sol Healthcare, El Paso, Texas
| | - Ava Marie S Conlin
- Deployment Health Research Department, Naval Health Research Center, San Diego, California
| | - Shannon V Lamb
- Department of Obstetrics and Gynecology, Walter Reed National Military Medical Center, Bethesda, Maryland
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13
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Anderson PM, Jesus VAD, Gross MS. Home Birth in the United States: An Evidence-Based Ethical Analysis. THE JOURNAL OF CLINICAL ETHICS 2024; 35:37-53. [PMID: 38373330 DOI: 10.1086/728147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
AbstractThe assumption in current U.S. mainstream medicine is that birthing requires hospitalization. In fact, while the American College of Obstetricians and Gynecologists supports the right of every birthing person to make a medically informed decision about their delivery, they do not recommend home birth owing to data indicating greater neonatal morbidity and mortality. In this article, we examine the evidence surrounding home birth in the United States and its current limitations, as well as the ethical considerations around birth setting.
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14
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Obeng CS, Jackson F, Brandenburg D, Byrd KA. Black/African American Women's Woes: Women's Perspectives of Black/African American Maternal Mortality in the USA. J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01883-0. [PMID: 38051429 DOI: 10.1007/s40615-023-01883-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Despite advances in perinatal care in the USA, maternal mortality is on the rise, and maternal death is higher than in any other high-income country. Maternal mortality in the USA is a persistent public health concern. This issue disproportionately affects Black/African American women, with their likelihood of pregnancy-related death being three times more likely compared to White women. This study aimed to explore the resources needed for Black/African American women to address the relatively higher maternal mortality rates recorded for them. METHODS An anonymous link with demographic and open-ended questions was sent to US women 18 years and older to participate in the study. A total of 140 participants responded to the survey. We retained a final sample of 118 responses after eliminating responses with missing data. Descriptive statistics are reported for closed-ended items. Open-ended responses were analyzed using content analysis procedures, where we coded and categorized the data into themes. RESULTS Six themes were identified from the study data: (1) Diversity, Equity, and Inclusion (DEI) training for health providers focused on racial bias and discrimination, (2) Advocacy, (3) Provider selection, (4) Researching doctors and delivery hospitals to inform women's birthing decision-making, (5) Women's care-seeking behaviors, and (6) Addressing the Social Determinants of Health. CONCLUSION Based on the study's findings, we recommend DEI training for healthcare professionals providing direct care to pregnant and postpartum women, advocacy and resource-awareness training for pregnant Black/African American women and their spouses/partners, or a family member, to assist them in their pregnancy and birthing journeys.
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Affiliation(s)
- Cecilia S Obeng
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN, USA.
| | - Frederica Jackson
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN, USA
| | - Dakota Brandenburg
- Department of Applied Health Science, Indiana University School of Public Health, Bloomington, IN, USA
| | - Kourtney A Byrd
- College of Pharmacy, Center for Health Equity and Innovation (CHEqI), Purdue University, Indianapolis, IN, USA
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15
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Lindley KJ, Walsh MN. Vaginal Delivery Remains the Preferred Mode of Delivery for Almost All Women With Cardiovascular Disease. JACC. HEART FAILURE 2023; 11:1690-1691. [PMID: 38056971 DOI: 10.1016/j.jchf.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 10/10/2023] [Indexed: 12/08/2023]
Affiliation(s)
- Kathryn J Lindley
- Division of Cardiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA; Department of Obstetrics and Gynecology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
| | - Mary Norine Walsh
- Ascension St Vincent Heart Center, Indianapolis, Indiana, USA; Ascension St Vincent Cardiovascular Research Institute, Indianapolis, Indiana, USA
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Liu J, Hung P, Zhang J, Olatosi B, Shih Y, Liang C, Campbell BA, Hikmet N, Li X. Severe maternal morbidity by race and ethnicity before vs. during the COVID-19 pandemic. Ann Epidemiol 2023; 88:51-61. [PMID: 37952778 PMCID: PMC10843780 DOI: 10.1016/j.annepidem.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 11/06/2023] [Accepted: 11/08/2023] [Indexed: 11/14/2023]
Abstract
PURPOSE To examine the change in racial disparity in severe maternal morbidity (SMM) during the COVID-19 pandemic and the associations between SARS-CoV-2 infection and SMM. METHODS This retrospective cohort study used linked databases of all livebirths delivered between 2018 and 2021 in South Carolina (n = 162,576). Exposures were 1) pre-pandemic and pandemic periods (before vs. March 2020 onwards); 2) SARS-CoV-2 infection, severity, and timing of first infection. Log-binomial regression models were used. RESULTS SMM rate was higher among pandemic childbirths than pre-pandemic period (p = 0.06). The risk of SMM among Hispanics was doubled from pre-pandemic to pandemic periods (adjusted relative risk (aRR)= 2.50, 95% CI: 1.27, 4.94). During pre-pandemic, compared to White women, Black women (aRR=1.37, 95% CI: 1.14-1.64), while Hispanics had lower risk of SMM (aRR=0.42, 95% CI: 0.24-0.73). During the pandemic, the Black-White difference in the risk of SMM persisted (aRR=1.24, 95% CI: 1.00-1.54) and Hispanic-White difference in SMM risk became insignificant (aRR=0.85, 95% CI: 0.54-1.34). SARS-CoV-2 infection, its severity, and the late diagnosis were associated with 1.78-5.06 times higher risk of SMM. CONCLUSIONS During pandemic, Black-White racial disparity in SMM persisted but the relative pre-pandemic advantage in SMM among Hispanic women over White women disappeared during the pandemic.
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Affiliation(s)
- Jihong Liu
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
| | - Peiyin Hung
- Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Jiajia Zhang
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Bankole Olatosi
- Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Yiwen Shih
- Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Chen Liang
- Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Berry A Campbell
- Department of Obstetrics and Gynecology, School of Medicine, University of South Carolina, Two Medical Park, Columbia, SC 29203, USA
| | - Neset Hikmet
- Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Department of Integrated Information Technology, College of Engineering and Computing, University of South Carolina, 550 Assembly Street, Columbia, SC 29208, USA
| | - Xiaoming Li
- Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Department of Health Promotion, Education, & Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
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Kawakita T, Vilchez G, Nehme L, Huang JC, Houser M, Duncan J, Aziz M. Adverse maternal outcomes associated with major fetal malformations after singleton live birth. Am J Obstet Gynecol MFM 2023; 5:101132. [PMID: 37579946 DOI: 10.1016/j.ajogmf.2023.101132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/16/2023]
Abstract
BACKGROUND Major fetal malformations complicate 2% to 5% of live births. It is unclear what effect fetal malformations have on severe maternal morbidity. OBJECTIVE This study aimed to compare maternal outcomes between individuals with a fetus with major or minor fetal malformations and those with a fetus without major or minor fetal malformations. STUDY DESIGN This was a secondary analysis of the Consortium on Safe Labor database. Our study was limited to the current analysis of pregnant individuals with a singleton live birth. Major fetal malformations based on the Centers for Disease Control and Prevention's criteria were defined. Fetal malformations that did not meet the criteria for major fetal malformations were categorized as minor fetal malformations. Our primary maternal outcome was severe maternal morbidity as defined by the Centers for Disease Control and Prevention. Missing values were imputed by multiple imputation using the k-nearest neighbor imputation method. Poisson regression with robust error variance was used to obtain adjusted relative risks with 95% confidence intervals, controlling for confounders. RESULTS Of 216,881 deliveries, there were 201,860 cases (93.1%) with no congenital malformation, 12,106 cases (5.6%) with minor fetal malformations, and 2845 cases (1.3%) with major fetal malformations. Compared with individuals with no fetal malformation, those with major fetal malformations were more likely to have severe maternal morbidity (0.7% vs 1.2%; adjusted relative risk, 1.51; 95% confidence interval, 1.07-2.12), postpartum hemorrhage (3.6% vs 6.9%; adjusted relative risk, 1.76; 95% confidence interval, 1.50-2.06), preeclampsia (5.1% vs 8.3%; adjusted relative risk, 1.48; 95% confidence interval, 1.31-1.67), and cesarean delivery (26.7% vs 42.3%; adjusted relative risk, 1.51; 95% confidence interval, 1.45-1.58). Compared with individuals with no fetal malformation, those with minor fetal malformations were more likely to have severe maternal morbidity (0.7% vs 1.4%; adjusted relative risk, 1.73; 95% confidence interval, 1.48-2.02), maternal death (0.01% vs 0.03%; adjusted relative risk, 4.50; 95% confidence interval, 1.18-17.19), postpartum hemorrhage (3.6% vs 6.1%; adjusted relative risk, 1.54; 95% confidence interval, 1.41-1.68), preeclampsia (5.1% vs 8.6%; adjusted relative risk, 1.50; 95% confidence interval, 1.41-1.60), superimposed preeclampsia (1.2% vs 2.4%; adjusted relative risk, 1.25; 95% confidence interval, 1.14-1.38), cesarean delivery (26.7% vs 39.6%; adjusted relative risk, 1.38; 95% confidence interval, 1.35-1.41), chorioamnionitis (3.0% vs 4.7%; adjusted relative risk, 1.41; 95% confidence interval, 1.29-1.53), and postpartum endometritis (0.6% vs 1.0%; adjusted relative risk, 1.58; 95% confidence interval, 1.31-1.90). CONCLUSION Major and minor congenital fetal malformations are independent risk factors for severe maternal morbidity and other pregnancy complications.
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Affiliation(s)
- Tetsuya Kawakita
- Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA (Drs Kawakita and Nehme).
| | - Gustavo Vilchez
- Department of Obstetrics and Gynecology, University of Missouri, Kansas City, MO (Dr Vilchez)
| | - Lea Nehme
- Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA (Drs Kawakita and Nehme)
| | - Jim C Huang
- Department of Business Management, National Sun Yat-Sen University, Kaohsiung, Taiwan (Dr Huang)
| | - Molly Houser
- Department of Obstetrics and Gynecology, University of Tennessee Health Science Center, Memphis, TN (Dr Houser)
| | - Jose Duncan
- Department of Obstetrics and Gynecology, University of South Florida, Tampa, FL (Dr Duncan)
| | - Michael Aziz
- Department of Obstetrics and Gynecology, Allegheny Health Network, Pittsburgh, PA (Dr Aziz)
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18
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Berger BO, Jeffers NK, Wolfson C, Gemmill A. Role of Maternal Age in Increasing Severe Maternal Morbidity Rates in the United States. Obstet Gynecol 2023:00006250-990000000-00807. [PMID: 37411020 DOI: 10.1097/aog.0000000000005258] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 04/20/2023] [Indexed: 07/08/2023]
Abstract
OBJECTIVE To evaluate a commonly proposed explanation for increasing rates of severe maternal morbidity (SMM) in the United States: shifts in the birthing population to older maternal ages, a known risk factor for SMM. METHODS We conducted a cross-sectional analysis comparing delivery hospitalizations from two time points (2008-2009 to 2017-2018) using hospital discharge data from the National Inpatient Sample. We used demographic decomposition techniques to evaluate whether increasing rates of SMM and nontransfusion SMM were explained by population-level increases in maternal age or changes in age-specific rates. Analyses were stratified by race and ethnicity. RESULTS Rates of SMM and nontransfusion SMM significantly increased in the United States between 2008 and 2018 from 135.6 to 170.5 and 58.8 to 67.9 per 10,000 delivery hospitalizations, respectively, with increases observed for nearly all racial and ethnic groups. Over this same period, the proportion of births to people younger than age 25 years decreased and births to people of advanced maternal age (35 years and older) increased, with the largest increases occurring among people identified as non-Hispanic American Indian/Alaskan Native (9.8-13.0%), non-Hispanic Black (10.7-14.4%), and Hispanic (12.1-17.1%). Decomposition analyses indicated that the changing maternal age distribution had little effect on SMM trends. Rather, increases in SMM and nontransfusion SMM were primarily driven by increases in age-specific SMM rates, including rising rates among younger people. Contributions of maternal age shifts were minimal for all racial and ethnic groups except among non-Hispanic Black people, for which 17-34% of the rise in SMM was due to increasing maternal age. CONCLUSION Except among certain racial groups, increases in U.S. population-level SMM rates over the past decade were due to increases in age-specific rates rather than shifts to older maternal age among the birthing population. Increasing SMM rates across the maternal age spectrum could indicate worsening prepregnancy health status of the birthing population.
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Affiliation(s)
- Blair O Berger
- Department of Population, Family and Reproductive Health and the Department of International Health, Johns Hopkins Bloomberg School of Public Health, and the Johns Hopkins University School of Nursing, Baltimore, Maryland
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Carlson NS, Carlson MS, Erickson EN, Higgins M, Britt AJ, Amore AD. Disparities by race/ethnicity in unplanned cesarean birth among healthy nulliparas: a secondary analysis of the nuMoM2b dataset. BMC Pregnancy Childbirth 2023; 23:342. [PMID: 37173616 PMCID: PMC10176719 DOI: 10.1186/s12884-023-05667-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 05/02/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Racial disparities exist in maternal morbidity and mortality, with most of these events occurring in healthy pregnant people. A known driver of these outcomes is unplanned cesarean birth. Less understood is to what extent maternal presenting race/ethnicity is associated with unplanned cesarean birth in healthy laboring people, and if there are differences by race/ethnicity in intrapartum decision-making prior to cesarean birth. METHODS This secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-Be (nuMoM2b) dataset involved nulliparas with no significant health complications at pregnancy onset who had a trial of labor at ≥ 37 weeks with a singleton, non-anomalous fetus in cephalic presentation (N = 5,095). Logistic regression models were used to examine associations between participant-identified presenting race/ethnicity and unplanned cesarean birth. Participant-identified presenting race/ethnicity was used to capture the influence of racism on participant's healthcare experiences. RESULTS Unplanned cesarean birth occurred in 19.6% of labors. Rates were significantly higher among Black- (24.1%) and Hispanic- (24.7%) compared to white-presenting participants (17.4%). In adjusted models, white participants had 0.57 (97.5% CI [0.45-0.73], p < 0.001) lower odds of unplanned cesarean birth compared to Black-presenting participants, while Hispanic-presenting had similar odds as Black-presenting people. The primary indication for cesarean birth among Black- and Hispanic- compared to white-presenting people was non-reassuring fetal heart rate in the setting of spontaneous labor onset. CONCLUSIONS Among healthy nulliparas with a trial of labor, white-presenting compared to Black or Hispanic-presenting race/ethnicity was associated with decreased odds of unplanned cesarean birth, even after adjustment for pertinent clinical factors. Future research and interventions should consider how healthcare providers' perception of maternal race/ethnicity may bias care decisions, leading to increased use of surgical birth in low-risk laboring people and racial disparities in birth outcomes.
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Affiliation(s)
- Nicole S Carlson
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road NE, Atlanta, GA, 30322, USA.
| | - Madelyn S Carlson
- CUNY Graduate School of Public Health & Health Policy, New York, NY, USA
| | | | - Melinda Higgins
- Biostatistics and Data Core in the Office of Nursing Research, Emory University Nell Hodgson Woodruff School of Nursing, Atlanta, GA, USA
| | - Abby J Britt
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road NE, Atlanta, GA, 30322, USA
| | - Alexis Dunn Amore
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road NE, Atlanta, GA, 30322, USA
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Kramer MR, Labgold K, Zertuche AD, Runkle JD, Bryan M, Freymann GR, Austin D, Adams EK, Dunlop AL. Severe Maternal Morbidity in Georgia, 2009-2020. Med Care 2023; 61:258-267. [PMID: 36638324 PMCID: PMC10079300 DOI: 10.1097/mlr.0000000000001819] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND The increasing focus of population surveillance and research on maternal-and not only fetal and infant-health outcomes is long overdue. The United States maternal mortality rate is higher than any other high-income country, and Georgia is among the highest rates in the country. Severe maternal morbidity (SMM) is conceived of as a "near miss" for maternal mortality, is 50 times more common than maternal death, and efforts to systematically monitor SMM rates in populations have increased in recent years. Much of the current population-based research on SMM has occurred in coastal states or large cities, despite substantial geographical variation with higher maternal and infant health burdens in the Southeast and rural regions. METHODS This population-based study uses hospital discharge records linked to vital statistics to describe the epidemiology of SMM in Georgia between 2009 and 2020. RESULTS Georgia had a higher SMM rate than the United States overall (189.2 vs. 144 per 10,000 deliveries in Georgia in 2014, the most recent year with US estimates). SMM was higher among racially minoritized pregnant persons and those at the extremes of age, of lower socioeconomic status, and with comorbid chronic conditions. SMM rates were 5 to 6 times greater for pregnant people delivering infants <1500 grams or <32 weeks' gestation as compared with those delivering normal weight or term infants. Since 2015, SMM has increased in Georgia. CONCLUSION SMM represents a collection of life-threatening emergencies that are unevenly distributed in the population and require increased attention. This descriptive analysis provides initial guidance for programmatic interventions intending to reduce the burden of SMM and, subsequently, maternal mortality in the US South.
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Affiliation(s)
| | | | | | - Jennifer D. Runkle
- North Carolina Institute for Climate Studies, North Carolina State University, Asheville, NC
| | - Michael Bryan
- Division of Epidemiology, Maternal and Child Health Epidemiology Unit, Georgia Department of Public Health
| | - Gordon R. Freymann
- Georgia Department of Public Health, Office of Health Indicators for Planning
| | - David Austin
- Georgia Department of Public Health, Office of Health Indicators for Planning
| | - E. Kathleen Adams
- Department of Health Policy and Management, Rollins School of Public Health
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University, Atlanta, GA
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Oakley LP, Li X, Tartof SY, Wilkes-Grundy M, Fassett MJ, Lawrence JM. Racial Disparities in Severe Maternal Morbidity in an Integrated Health Care System, Southern California, 2008-2017. Womens Health Issues 2023; 33:280-288. [PMID: 36740539 PMCID: PMC10213118 DOI: 10.1016/j.whi.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 12/22/2022] [Accepted: 01/10/2023] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The study's objectives were to examine rates of severe maternal morbidity (SMM) over a 10-year period and assess racial/ethnic disparities in SMM among insured women in a large, integrated health care system in Southern California. METHODS We included Kaiser Permanente Southern California (KPSC) health plan members who gave birth at ≥20 weeks' gestation in a KPSC-owned hospital during 2008-2017. An SMM case was defined as presence of one or more indicators of an SMM event during a birth hospitalization, identified using maternal electronic health records. Crude SMM rates/10,000 births were calculated by year and maternal race/ethnicity. Modified Poisson regression models were used to assess the association between race/ethnicity and SMM adjusted for other maternal demographics, pregnancy characteristics, and preexisting conditions. RESULTS We identified 5,915 SMM cases among 335,310 births. Crude SMM rates increased from 94.7 per 10,000 in 2008 to 192.6 in 2015 and 249.5 in 2017. Non-Hispanic Black (adjusted risk ratio [aRR] 1.52; 95% confidence interval [CI] 1.37-1.69), Asian/Pacific Islander (aRR 1.29, 95% CI 1.18-1.41), and Hispanic (aRR 1.18, 95% CI 1.10-1.27) women had greater likelihood of SMM than non-Hispanic White women. After further adjusting for preexisting health conditions, differences in SMM by race/ethnicity remained. CONCLUSIONS SMM rates increased during 2008-2017 and women of racial and ethnic minority groups, particularly non-Hispanic Black women, were more likely to experience an SMM event than non-Hispanic White women. Multilevel approaches to understanding structural and social factors that may be associated with racial and ethnic disparities in SMM are needed to develop and test effective interventions to reduce SMM.
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Affiliation(s)
- Lisa P Oakley
- Epidemic Intelligence Service, Division of Scientific Education and Professional Development, Centers for Disease Control and Prevention, Atlanta, Georgia; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California.
| | - Xia Li
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Sara Y Tartof
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Madalynne Wilkes-Grundy
- Department of Family Medicine, Kaiser Permanente West Los Angeles Medical Center, Los Angeles California
| | - Michael J Fassett
- Department of Obstetrics and Gynecology, Kaiser Permanente West Los Angeles Medical Center, Los Angeles, California
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
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Wolfson C, Strobino DM, Gemmill A. Does Delayed Fertility Explain the Rise in Comorbidities Among the Birthing Population? J Womens Health (Larchmt) 2023. [PMID: 36946768 DOI: 10.1089/jwh.2022.0370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023] Open
Abstract
Background: The increasing prevalence of preexisting health conditions among pregnant people is often attributed to the concurrent rise in maternal age. However, the link between advanced maternal age (AMA) and increases in chronic conditions among the birthing population has not been systematically documented at the population level. Materials and Methods: This retrospective population-based cohort study was based on linked hospitalization discharge and birth certificate data for live birth deliveries in California from 1991 to 2012. Decomposition techniques evaluated whether changes in the prevalence of selected preexisting health conditions during delivery (autoimmune conditions, chronic hypertension, cardiac disease, diabetes, and renal disease) were explained by population-level increases in maternal age. Analyses further adjusted for maternal education, plurality, insurance status, and availability of paternal information on the birth certificate. Results: Between 1991 and 2012, there were more than 11.5 million live birth deliveries in California. AMA (≥35 years) increased nearly 70% over this period. The prevalence of autoimmune conditions, chronic hypertension, diabetes, and renal disease rose among the birthing population, while cardiac disease declined. The prevalence of all conditions was higher for AMA, but changes in maternal age accounted for only 5.3%, 8.4%, 13.9%, and 0.4%, of the increase in autoimmune conditions, chronic hypertension, diabetes, and renal disease, respectively. Conclusion: While AMA was associated with higher rates of preexisting health conditions, it contributed little to the increase in autoimmune conditions, chronic hypertension, and diabetes and nothing to the rise in renal disease during childbirth.
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Affiliation(s)
- Carrie Wolfson
- Department of International Health, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Donna M Strobino
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Alison Gemmill
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Gantt A, Metz TD, Kuller JA, Louis JM, Cahill AG, Turrentine MA. Obstetric Care Consensus #11, Pregnancy at age 35 years or older. Am J Obstet Gynecol 2023; 228:B25-B40. [PMID: 35850202 DOI: 10.1016/j.ajog.2022.07.022] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Centers for Disease Control and Prevention data from 2020 demonstrate the continued upward trend in the mean age of pregnant individuals in the United States. Observational studies demonstrate that pregnancy in older individuals is associated with increased risks of adverse pregnancy outcomes-for both the pregnant patient and the fetus-that might differ from those found in younger pregnant populations, even in healthy individuals with no other comorbidities. There are several studies that suggest that advancing age at the time of pregnancy is associated with greater disparities in severe maternal morbidity and mortality. This document seeks to provide evidence-based clinical recommendations for minimizing adverse outcomes associated with pregnancy with anticipated delivery at an advanced maternal age. The importance and benefits of accessible health care from prepregnancy through postpartum care for all pregnant individuals cannot be overstated. However, this document focuses on and addresses the unique differences in pregnancy-related care for women and all those seeking obstetrical care with anticipated delivery at the age of 35 years or older within the framework of routine pregnancy care. This Obstetric Care Consensus document was developed using an a priori protocol in conjunction with the authors listed above.
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Extracorporeal Membrane Oxygenation During Pregnancy. Clin Obstet Gynecol 2023; 66:151-162. [PMID: 36044634 DOI: 10.1097/grf.0000000000000735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
In the last 2 decades, the use of venovenous (VV) and venoarterial (VA) extracorporeal membrane oxygenation (ECMO) during pregnancy and the postpartum period has increased, mirroring the increased utilization in nonpregnant individuals worldwide. VV ECMO provides respiratory support for patients with acute respiratory distress syndrome (ARDS) who fail conventional mechanical ventilation. With the COVID-19 pandemic, the use of VV ECMO has increased dramatically and data during pregnancy and the postpartum period are overall reassuring. In contrast, VA ECMO provides both respiratory and cardiovascular support. Data on the use of VA ECMO during pregnancy are extremely limited.
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Thakkar A, Hameed AB, Makshood M, Gudenkauf B, Creanga AA, Malhamé I, Grandi SM, Thorne SA, D'Souza R, Sharma G. Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity. JACC. ADVANCES 2023; 2:100275. [PMID: 37560021 PMCID: PMC10410605 DOI: 10.1016/j.jacadv.2023.100275] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 08/11/2023]
Abstract
Severe maternal morbidity (SMM) refers to any unexpected outcome directly related to pregnancy and childbirth that results in both short-term delivery complications and long-term consequences to a women's health. This affects about 60,000 women annually in the United States. Cardiovascular contributions to SMM including cardiac arrest, arrhythmia, and acute myocardial infarction are on the rise, probably driven by changing demographics of the pregnant population including more women of extreme maternal age and an increased prevalence of cardiometabolic and structural heart disease. The utilization of SMM prediction tools and risk scores specific to cardiovascular disease in pregnancy has helped with risk stratification. Furthermore, health system data monitoring and reporting to identify and assess etiologies of cardiovascular complications has led to improvement in outcomes and greater standardization of care for mothers with cardiovascular disease. Improving cardiovascular disease-related SMM relies on a multipronged approach comprised of patient-level identification of risk factors, individualized review of SMM cases, and validation of risk stratification tools and system-wide improvements in quality of care. In this article, we review the epidemiology and cardiac causes of SMM, we provide a framework of risk prediction clinical tools, and we highlight need for organization of care to improve outcomes.
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Affiliation(s)
- Aarti Thakkar
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Afshan B. Hameed
- Department of Obstetrics & Gynecology, Department of Medicine, University of California-Irvine, Irvine, California, USA
| | - Minhal Makshood
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Brent Gudenkauf
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andreea A. Creanga
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Isabelle Malhamé
- Division of General Internal Medicine, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
- Center for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Sonia M. Grandi
- Child Health Evaluative Sciences Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sara A. Thorne
- Division of Cardiology, Pregnancy & Heart Disease Program, Mount Sinai Hospital & University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Rohan D'Souza
- Departments of Obstetrics & Gynaecology and Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Garima Sharma
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Danielsen BH, Carmichael SL, Gould JB, Lee HC. Linked birth cohort files for perinatal health research: California as a model for methodology and implementation. Ann Epidemiol 2023; 79:10-18. [PMID: 36603709 PMCID: PMC9957937 DOI: 10.1016/j.annepidem.2022.12.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/20/2022] [Accepted: 12/29/2022] [Indexed: 01/04/2023]
Abstract
PURPOSE Rigorous perinatal epidemiologic research depends on population-based parental and neonatal sociodemographic and clinical data. Here we describe the creation of linked birth cohort files, an enriched data source that combines information from vital records with maternal delivery and infant hospital encounter records. METHODS Probabilistic linkage techniques were used to link vital records (i.e., birth and fetal death certificates) from the California Department of Public Health with hospital inpatient, ambulatory surgery and emergency department encounter data for mothers and infants from the California Department of Health Care Access and Information. RESULTS From 2012 to 2018, 95% of live birth records were successfully linked to maternal and newborn hospital records while 85% of fetal death records were linked to a maternal delivery record. Overall, 93% of postnatal hospital encounters of infants (i.e., <1 year old) were matched to a linked record. CONCLUSIONS The linked birth cohort files is a rich resource opening many possibilities for understanding perinatal health outcomes and opportunities for linkage to longitudinal, social determinant, and environmental data. To optimally use this file for research, analysts should evaluate possible shortcomings or biases of the data sources being linked.
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Affiliation(s)
| | - Suzan L Carmichael
- Division of Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Division of Maternal-Fetal Medicine and Obstetrics, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Jeffrey B Gould
- Division of Neonatology and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Henry C Lee
- Division of Neonatology, Department of Pediatrics, University of California San Diego, CA, USA
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Cudjoe LNEA, Canner JK, Lawson SM, Vaught AJ. The association between severe maternal morbidity and mortality and race/ethnicity with community type in Maryland. WOMEN'S HEALTH (LONDON, ENGLAND) 2023; 19:17455057231189556. [PMID: 37615167 PMCID: PMC10467219 DOI: 10.1177/17455057231189556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 06/11/2023] [Accepted: 07/04/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND Severe maternal morbidity and mortality are increasing in the United States with continued healthcare disparities among Non-Hispanic Black women. However, there is sparse data on the disparities of severe maternal morbidity and mortality by race/ethnicity as it relates to community type. OBJECTIVE To determine whether residing in rural communities increases the racial/ethnic disparities in severe maternal morbidity and mortality. DESIGN This study is a cross-sectional analysis of women admitted for delivery from 2015 to 2020. A total of 204,140 adults who self-identified as women, were admitted for delivery, who resided in Maryland, and were between the ages 15 and 54 were included in our analysis. Community type was defined as either rural or urban. METHODS A multivariable logistic regression, which included an interaction term between race/ethnicity and community type, was used to assess the effect of community type on the relationship between race/ethnicity and severe maternal morbidity and mortality. Data were obtained from the Maryland Health Service Cost Review Commission database. The primary outcome was a composite, binary variable of severe maternal morbidity and mortality. Exposures of interest were residence in either rural or urban counties in Maryland and race/ethnicity. RESULTS Our study found that after adjusting for confounders, odds of severe maternal morbidity and mortality were 65% higher in Non-Hispanic Black women (odds ratio 1.65, 95% confidence interval: 1.46-1.88, p < 0.001) and 54% higher in Non-Hispanic Asian women (odds ratio 1.54, 95% confidence interval: 1.24-1.90, p < 0.001) compared to Non-Hispanic White women. The interaction term used to determine whether community type modified the relationship between race/ethnicity and severe maternal morbidity and mortality was not statistically significant for any race/ethnicity (Non-Hispanic Black women, p = 0.60; Non-Hispanic Asian women, p = 0.91; Hispanic women, p = 0.15; Other/Unknown race/ethnicity, p = 0.54). CONCLUSION Although our study confirmed the known disparities in maternal outcomes by race/ethnicity, we found that residing in rural communities did not increase racial/ethnic disparities.
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Affiliation(s)
- Lorene NEA Cudjoe
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Johns Hopkins Surgery Center for Outcomes Research, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Gynecology and Obstetrics, Loma Linda University Health, Loma Linda University, Loma Linda, CA, USA
| | - Joseph K Canner
- Johns Hopkins Surgery Center for Outcomes Research, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Yale University Surgical Outcomes Research, Yale University School of Medicine, New Haven, CT, USA
| | - Shari M Lawson
- Division of General Obstetrics and Gynecology, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Arthur Jason Vaught
- Johns Hopkins Surgery Center for Outcomes Research, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Jeffers NK, Berger BO, Marea CX, Gemmill A. Investigating the impact of structural racism on black birthing people - associations between racialized economic segregation, incarceration inequality, and severe maternal morbidity. Soc Sci Med 2023; 317:115622. [PMID: 36542927 PMCID: PMC9910389 DOI: 10.1016/j.socscimed.2022.115622] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 12/12/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022]
Abstract
Black birthing people are twice as likely to experience severe maternal morbidity (SMM) as their white counterparts. Structural racism provides a framework for understanding root causes of perinatal health disparities. Our objective was to investigate associations between measures of structural racism and severe maternal morbidity (SMM) among Black birthing people in the US. We linked delivery hospitalizations for Black birthing people in the National Inpatient Sample (2008-2011) with data from the American Community Survey 5-year estimates and the Vera Institute of Justice Incarceration Trends datasets (2008-2011). Structural racism measures included the Index of Concentration at the Extremes for race and income (i.e., racialized economic segregation) and Black-white incarceration inequality, assessed as quintiles by hospital county. Multilevel logistic regression assessed the relationship between these county-level indicators of structural racism and SMM. Black birthing people delivering in quintiles 5 (concentrated deprivation; OR = 1.45, 95% CI = 1.16-1.81) and 3 (OR = 1.27, 95% CI = 1.04-1.56) experienced increased odds of SMM compared to those in quintile 1 (concentrated privilege). After adjusting for individual characteristics, obstetric comorbidities, and hospital characteristics the odds of SMM remained elevated for Black birthing people delivering in quintiles 5 (aOR = 1.32, 95% CI = 1.02-1.71) and 3 (aOR = 1.24, 95% CI = 1.02-1.51). Delivering in the quintile with the highest incarceration inequality (Q5) was not significantly associated with SMM (aOR = 0.95, 95% CI = 0.72-1.25) compared to those delivering in counties with the lowest incarceration inequality (Q1). In this national-level study, racialized economic segregation was associated with SMM among Black birthing people. Our findings highlight the need to promote maternal and perinatal health equity through actionable policies that prioritize investment in communities experiencing deprivation.
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Affiliation(s)
- Noelene K Jeffers
- Johns Hopkins Bloomberg School of Public Health, Department of Population Family, And Reproductive Health, 615 N. Wolfe Street, Baltimore, MD, 21205, United States.
| | - Blair O Berger
- Johns Hopkins Bloomberg School of Public Health, Department of Population Family, And Reproductive Health, 615 N. Wolfe Street, Baltimore, MD, 21205, United States.
| | - Christina X Marea
- Georgetown University School of Nursing & Health Studies, Department of Advanced Nursing Practice, St. Mary's Hall 3700 Reservoir Road, N.W., Washington D.C, 20057-1107, United States.
| | - Alison Gemmill
- Johns Hopkins Bloomberg School of Public Health, Department of Population Family, And Reproductive Health, 615 N. Wolfe Street, Baltimore, MD, 21205, United States.
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Lende MN, Morris BA, Lynch TA. Implementing American College of Obstetricians and Gynecologists Outpatient Antepartum Testing Recommendations: Can Your Clinic Handle It? Am J Perinatol 2022; 40:711-717. [PMID: 36470297 DOI: 10.1055/s-0042-1759706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE This study was conducted to determine the difference in the number of pregnancies that would qualify for outpatient fetal testing between our current academic practice and that of the 2021 American College of Obstetricians and Gynecologists (ACOG) antepartum recommendations. STUDY DESIGN We performed a retrospective study of all pregnancies that delivered and received prenatal care at our institution between January 1, 2019, and May 31, 2021. The timing and amount of outpatient antepartum testing was determined for each patient. Our current antepartum testing guidelines (clinic protocol) were compared with the 2021 ACOG recommendations (ACOG protocol). Statistical analysis was performed with descriptive statistics and z scoring to compare the total amount of antepartum testing utilized with each protocol. RESULTS A total of 1,335 pregnancies were included in the study. With the ACOG protocol, an additional 310 (23.2%) of pregnancies would qualify for antepartum testing (57.8% with ACOG protocol vs. 34.6% with clinic protocol). Most of the increased testing was due to maternal age with additional risk factors, hypertensive disorders, diabetes, prepregnancy body mass index ≥ 35, and complex fetal anomalies or aneuploidies. Overall, the ACOG protocol would require an additional 570 antepartum tests (z-score = 4.04, p = 0.000005) over the study period, which is equivalent to 19 additional tests per month and 5 per week. Only nine stillbirths occurred during this time, of which two would have had antepartum testing with both protocols, one would have only had testing per ACOG, and two would have had testing individualized per ACOG. CONCLUSION More pregnancies would require outpatient antenatal testing with adoption of the ACOG protocol. A 23% increase in testing would equate to five additional antepartum tests per week. Although this study cannot assess the clinical impact of additional testing, minimal scheduling resources are needed to accommodate this increase. KEY POINTS · Most pregnancies have risk factors for stillbirth.. · Most pregnancies qualify for fetal testing per ACOG.. · More resources are needed for this increased testing..
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Affiliation(s)
- Michelle N Lende
- Department of Obstetrics and Gynecology, Albany Medical Center, Albany, New York
| | - Bruce A Morris
- Department of Obstetrics and Gynecology, Albany Medical Center, Albany, New York
| | - Tara A Lynch
- Department of Obstetrics and Gynecology, Albany Medical Center, Albany, New York
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Bane S, Abrams B, Mujahid M, Ma C, Shariff-Marco S, Main E, Profit J, Xue A, Palaniappan L, Carmichael SL. Risk factors and pregnancy outcomes vary among Asian American, Native Hawaiian, and Pacific Islander individuals giving birth in California. Ann Epidemiol 2022; 76:128-135.e9. [PMID: 36115627 PMCID: PMC10144523 DOI: 10.1016/j.annepidem.2022.09.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/12/2022] [Accepted: 09/08/2022] [Indexed: 11/01/2022]
Abstract
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.
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Affiliation(s)
- Shalmali Bane
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA.
| | - Barbara Abrams
- School of Public Health, University of California, Berkeley, CA
| | - Mahasin Mujahid
- Division of Epidemiology and Biostatistics, University of California, Berkeley, CA
| | - Chen Ma
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA
| | - Elliott Main
- California Maternal Quality Care Collaborative, Stanford University, Stanford, CA; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford CA
| | - Jochen Profit
- Perinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; California Perinatal Quality Care Collaborative, Palo Alto, CA
| | - Aileen Xue
- Department of Nutrition, Case Western Reserve University, Cleveland, OH
| | - Latha Palaniappan
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Suzan L Carmichael
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford CA
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Muacevic A, Adler JR. A Systematic Review of Severe Maternal Morbidity in High-Income Countries. Cureus 2022; 14:e29901. [PMID: 36348883 PMCID: PMC9632680 DOI: 10.7759/cureus.29901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2022] [Indexed: 01/25/2023] Open
Abstract
With declining maternal mortality rates in high-income countries (HICs), severe maternal morbidity (SMM) is becoming an important quality measure of maternal care. However, there is no international consensus on the definition and types of SMM. This study aims to critically analyze published literature on SMM in HICs. The objectives are to compare definitions and criteria used to identify SMM and identify the main causes and risk factors contributing to SMM in HICs. PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Scopus databases were searched for articles published between 2010 and 2022, results were filtered, and 10 studies were critically appraised. Six of the articles discussed SMM identification criteria and proposed definition modifications. Longer hospital stays and admission to the intensive care unit (ICU) were suggested as additional criteria. Disease-based criteria were shown to be superior to organ dysfunction criteria. Seven articles detailed common types of SMM as severe hemorrhage, hypertensive disorders, and preeclampsia/eclampsia. Six articles described SMM risk factors, of which advanced maternal age and cesarean delivery were the most common. This literature review identified disease-based criteria and Canadian study criteria as promising measures of SMM. It also identified several causes and risk factors of SMM common between HICs. These findings can help physicians identify women at risk of SMM. The study is however limited to eight HICs and 10 studies. Further research should aim to investigate how these criteria compare with previous sources of criteria and discern the association of weight and race risk factors with SMM.
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Tseng SY, Anderson S, DeFranco E, Rossi R, Divanovic AA, Cnota JF. Severe Maternal Morbidity in Pregnancies Complicated by Fetal Congenital Heart Disease. JACC. ADVANCES 2022; 1:100125. [PMID: 38939712 PMCID: PMC11198379 DOI: 10.1016/j.jacadv.2022.100125] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 06/29/2024]
Abstract
Background Maternal risk factors for fetal congenital heart disease (CHD) may also be associated with delivery complications in the mother. Objectives This study aimed to determine the prevalence of and risk factors for severe maternal morbidity (SMM) and maternal hospital transfer in pregnancies complicated by fetal CHD. Methods A population-based retrospective cohort study utilizing linked Ohio birth certificates and birth defect data for all live births from 2011 to 2015 was performed. The primary outcome was composite SMM. Secondary outcome was maternal hospital transfer prior to delivery. Pregnancies with isolated fetal CHD were compared to pregnancies with no fetal anomalies and isolated fetal cleft lip/palate (CLP). Results A total of 682,929 mothers with live births were included. Of these, 5,844 (0.85%) mothers had fetal CHD, and 963 (0.14%) had fetal CLP. SMM in pregnancies with fetal CHD was higher than that in those with no anomalies (3.6% vs 1.9%, P < 0.001) or CLP (3.6% vs 1.9%, P = 0.006). After adjusting for known risk factors, fetal CHD remained independently associated with SMM when compared to no fetal anomalies (adjusted relative risk [adjRR]: 1.81, 95% CI: 1.58-2.08) and CLP (adjRR: 1.81, 95% CI: 1.12-2.92). Maternal hospital transfer occurred more frequently in fetal CHD cases vs for those without fetal anomalies with an increased adjusted risk (adjRR: 3.65, 95% CI: 3.14-4.25). Conclusions Pregnancies with isolated fetal CHD have increased risk of SMM and maternal hospital transfer after adjusting for known risk factors. This may inform delivery planning for mothers with fetal CHD. Understanding the biological mechanisms may provide insight into other adverse perinatal outcomes in this population.
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Affiliation(s)
- Stephanie Y. Tseng
- The Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Shae Anderson
- Division of Pediatric Cardiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Emily DeFranco
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Cincinnati, Cincinnati, Ohio
| | - Robert Rossi
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Cincinnati, Cincinnati, Ohio
| | - Allison A. Divanovic
- The Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - James F. Cnota
- The Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
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Abstract
SUMMARY Centers for Disease Control and Prevention data from 2020 demonstrate the continued upward trend in the mean age of pregnant individuals in the United States. Observational studies demonstrate that pregnancy in older individuals is associated with increased risks of adverse pregnancy outcomes-for both the pregnant patient and the fetus-that might differ from those in a younger pregnant population, even in healthy individuals with no other comorbidities. There are several studies that suggest advancing age at the time of pregnancy is associated with greater disparities in severe maternal morbidity and mortality. This document seeks to provide evidence-based clinical recommendations for minimizing adverse outcomes associated with pregnancy with anticipated delivery at an advanced maternal age. The importance and benefits of accessible health care from prepregnancy through postpartum care for all pregnant individuals cannot be overstated. However, this document focuses on and addresses the unique differences in pregnancy-related care for women and all those seeking obstetric care with anticipated delivery at age 35 years or older within the framework of routine pregnancy care. This Obstetric Care Consensus document was developed using an a priori protocol in conjunction with the authors listed above.
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Hirai AH, Owens PL, Reid LD, Vladutiu CJ, Main EK. Trends in Severe Maternal Morbidity in the US Across the Transition to ICD-10-CM/PCS From 2012-2019. JAMA Netw Open 2022; 5:e2222966. [PMID: 35900764 PMCID: PMC9335134 DOI: 10.1001/jamanetworkopen.2022.22966] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IMPORTANCE Surveillance of severe maternal morbidity (SMM) is critical for monitoring maternal health and evaluating clinical quality improvement efforts. OBJECTIVE To evaluate national and state trends in SMM rates from 2012 to 2019 and potential disruptions associated with the transition to International Classification of Diseases, 10th Revision, Clinical Modification and Procedure Coding System (ICD-10-CM/PCS) in October 2015. DESIGN, SETTING, AND PARTICIPANTS This repeated cross-sectional analysis examined delivery hospitalizations from 2012 through 2019 in the Healthcare Cost and Utilization Project's National Inpatient Sample and State Inpatient Databases, an all-payer compendium of hospital discharge records from community, nonrehabilitation hospitals. Trends were evaluated using segmented linear binomial regression models that allowed for discontinuities across the ICD-10-CM/PCS transition. Analyses were completed from April 2021 through March 2022. EXPOSURES Time, ICD-10-CM/PCS coding system, and state. MAIN OUTCOMES AND MEASURES SMM rates, excluding blood transfusion, per 10 000 delivery hospitalizations, overall and by indicator. RESULTS From 2012 to 2019, there were 5 964 315 delivery hospitalizations in the national sample representing a weighted total of 29.8 million deliveries with a mean (SD) maternal age of 28.6 (5.9) years. SMM rates increased from 69.5 per 10 000 in 2012 to 79.7 per 10 000 in 2019 (rate difference [RD], 10.2; 95% CI, 5.8 to 14.6) without a significant change across the ICD-10-CM/PCS transition (RD, -3.2; 95% CI, -6.9 to 0.6). Of 20 SMM indicators, rates for 10 indicators significantly increased while 3 significantly decreased; 5 of these changes were associated with ICD-10-CM/PCS transition. Acute kidney failure had the largest increase, from 6.4 to 15.3 per 10 000 delivery hospitalizations (RD, 8.9; 95% CI, 7.5 to 10.3) with no change associated with ICD transition (RD, -0.1; 95% CI, -1.2 to 1.1). Disseminated intravascular coagulation had the largest decrease from 31.3 to 21.2 per 10 000 (RD, 10.2; 95% CI, -12.8 to -7.5), with a significant drop associated with ICD transition (RD, -7.9; 95% CI, -10.2 to -5.6). State SMM rates significantly decreased for 1 state and significantly increased for 21 states from 2012 to 2019 and associations with ICD transition varied. CONCLUSIONS AND RELEVANCE In this cross-sectional study, overall US SMM rates increased from 2012 to 2019, which was not associated with the ICD-10-CM/PCS transition. However, data for certain indicators and states may not be comparable across coding systems; efforts are needed to understand SMM increases and state variation.
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Affiliation(s)
- Ashley H. Hirai
- Maternal and Child Health Bureau, Health Resources and Services Administration, US Department of Health and Human Services, Rockville, Maryland
| | - Pamela L. Owens
- Center for Financing, Access and Cost Trends, Agency for Healthcare Research and Quality, US Department of Health and Human Services, Rockville, Maryland
| | - Lawrence D. Reid
- Center for Financing, Access and Cost Trends, Agency for Healthcare Research and Quality, US Department of Health and Human Services, Rockville, Maryland
| | - Catherine J. Vladutiu
- Maternal and Child Health Bureau, Health Resources and Services Administration, US Department of Health and Human Services, Rockville, Maryland
| | - Elliott K. Main
- California Maternal Quality Care Collaborative, Stanford University, Palo Alto, California
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Leonard SA, Berrahou I, Zhang A, Monseur B, Main EK, Obedin-Maliver J. Sexual and/or gender minority disparities in obstetrical and birth outcomes. Am J Obstet Gynecol 2022; 226:846.e1-846.e14. [PMID: 35358492 DOI: 10.1016/j.ajog.2022.02.041] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Many sexual and/or gender minority individuals build families through pregnancy and childbirth, but it is unknown whether they experience different clinical outcomes than those who are not sexual and/or gender minority individuals. OBJECTIVE To evaluate obstetrical and birth outcomes comparing couples who are likely sexual and/or gender minority patients compared with those who are not likely to be sexual and/or gender minority patients. STUDY DESIGN We performed a population-based cohort study of live birth hospitalizations during 2016 to 2019 linked to birth certificates in California. California changed its birth certificate in 2016 to include gender-neutral fields such as "parent giving birth" and "parent not giving birth," with options for each role to specify "mother," "father," or "parent." We classified birthing patients in mother-mother partnerships and those who identified as a father in any partnership as likely sexual and/or gender minority and classified birthing patients in mother-father partnerships as likely not sexual and/or gender minority. We used multivariable modified Poisson regression models to estimate the risk ratios for associations between likely sexual and/or gender minority parental structures and outcomes. The models were adjusted for sociodemographic factors, comorbidities, and multifetal gestation selected by causal diagrams. We replicated the analyses after excluding multifetal gestations. RESULTS In the final birthing patient sample, 1,483,119 were mothers with father partners, 2572 were mothers with mother partners, and 498 were fathers with any partner. Compared with birthing patients in mother-father partnerships, birthing patients in mother-mother partnerships experienced significantly higher rates of multifetal gestation (adjusted risk ratio, 3.9; 95% confidence interval, 3.4-4.4), labor induction (adjusted risk ratio, 1.2; 95% confidence interval, 1.1-1.3), postpartum hemorrhage (adjusted risk ratio, 1.4; 95% confidence interval, 1.3-1.6), severe morbidity (adjusted risk ratio, 1.4; 95% confidence interval, 1.2-1.8), and nontransfusion severe morbidity (adjusted risk ratio, 1.4; 95% confidence interval, 1.1-1.9). Severe morbidity was identified following the Centers for Disease Control and Prevention "severe maternal morbidity" index. Gestational diabetes mellitus, hypertensive disorders of pregnancy, cesarean delivery, preterm birth (<37 weeks' gestation), low birthweight (<2500 g), and low Apgar score (<7 at 5 minutes) did not significantly differ in the multivariable analyses. No outcomes significantly differed between father birthing patients in any partnership and birthing patients in mother-father partnerships in either crude or multivariable analyses, though the risk of multifetal gestation was nonsignificantly higher (adjusted risk ratio, 1.5; 95% confidence interval, 0.9-2.7). The adjusted risk ratios for the outcomes were similar after restriction to singleton gestations. CONCLUSION Birthing mothers with mother partners experienced disparities in several obstetrical and birth outcomes independent of sociodemographic factors, comorbidities, and multifetal gestation. Birthing fathers in any partnership were not at a significantly elevated risk of any adverse obstetrical or birth outcome considered in this study.
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Affiliation(s)
- Stephanie A Leonard
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA; California Maternal Quality Care Collaborative, Palo Alto, CA.
| | - Iman Berrahou
- Department of Obstetrics and Gynecology, University of California San Francisco, San Francisco, CA
| | - Adary Zhang
- Department of Medicine, Stanford University, Stanford, CA
| | - Brent Monseur
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA
| | - Elliott K Main
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA; California Maternal Quality Care Collaborative, Palo Alto, CA
| | - Juno Obedin-Maliver
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA; Department of Epidemiology and Population Health, Stanford University, Stanford, CA
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Sharami SH, Kabodmehri R, Hosseinzadeh F, Montazeri S, Ghalandari M, Dalil Heirati SF, Ershadi S. Effects of maternal age on the mode of delivery following induction of labor in nulliparous term pregnancies: A retrospective cohort study. Health Sci Rep 2022; 5:e651. [DOI: 10.1002/hsr2.651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 04/11/2022] [Accepted: 05/06/2022] [Indexed: 11/10/2022] Open
Affiliation(s)
- Seyedeh Hajar Sharami
- Reproductive Health Research Center, Department of Obstetrics and Gynecology, Al‐Zahra Hospital Guilan University of Medical Sciences Rasht Iran
| | - Roya Kabodmehri
- Reproductive Health Research Center, Department of Obstetrics and Gynecology, Al‐Zahra Hospital Guilan University of Medical Sciences Rasht Iran
| | - Fatemeh Hosseinzadeh
- Reproductive Health Research Center, Department of Obstetrics and Gynecology, Al‐Zahra Hospital Guilan University of Medical Sciences Rasht Iran
| | - Sina Montazeri
- Reproductive Health Research Center, Department of Obstetrics and Gynecology, Al‐Zahra Hospital Guilan University of Medical Sciences Rasht Iran
| | - Maryam Ghalandari
- Department of Epidemiology and Biostatistics, School of Public Health Shahid Sadoughi University of Medical Sciences Yazd Iran
| | - Seyedeh Fatemeh Dalil Heirati
- Reproductive Health Research Center, Department of Obstetrics and Gynecology, Al‐Zahra Hospital Guilan University of Medical Sciences Rasht Iran
| | - Sarvenaz Ershadi
- Reproductive Health Research Center, Department of Obstetrics and Gynecology, Al‐Zahra Hospital Guilan University of Medical Sciences Rasht Iran
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Carmichael SL, Abrams B, El Ayadi A, Lee HC, Liu C, Lyell DJ, Lyndon A, Main EK, Mujahid M, Tian L, Snowden JM. Ways Forward in Preventing Severe Maternal Morbidity and Maternal Health Inequities: Conceptual Frameworks, Definitions, and Data, from a Population Health Perspective. Womens Health Issues 2022; 32:213-218. [PMID: 34972599 PMCID: PMC9351612 DOI: 10.1016/j.whi.2021.11.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 11/18/2021] [Accepted: 11/19/2021] [Indexed: 10/19/2022]
Affiliation(s)
- Suzan L Carmichael
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California; Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California.
| | - Barbara Abrams
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California
| | - Alison El Ayadi
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, San Francisco, California; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Henry C Lee
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California
| | - Can Liu
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California; Clinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Deirdre J Lyell
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California
| | - Audrey Lyndon
- Rory Meyers College of Nursing, New York University, New York, New York
| | - Elliott K Main
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California; California Maternal Quality Care Collaborative, Stanford University, Stanford, California
| | - Mahasin Mujahid
- Division of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, California
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California
| | - Jonathan M Snowden
- School of Public Health, Oregon Health & Science University-Portland State University, Portland, Oregon; Department of Obstetrics and Gynecology, Oregon Health & Science University, Portland, Oregon
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Abrams BF, Leonard SA, Kan P, Lyell DJ, Carmichael SL. Interpregnancy weight change: associations with severe maternal morbidity and neonatal outcomes. Am J Obstet Gynecol MFM 2022; 4:100596. [PMID: 35181513 PMCID: PMC10960247 DOI: 10.1016/j.ajogmf.2022.100596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/04/2022] [Accepted: 02/10/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Prepregnancy body mass index and gestational weight gain have been linked with severe maternal morbidity, suggesting that weight change between pregnancies may also play a role, as it does for neonatal outcomes. OBJECTIVE This study assessed the association of changes in prepregnancy body mass index between 2 consecutive singleton pregnancies with the outcomes of severe maternal morbidity, stillbirth, and small- and large-for-gestational-age infants in the subsequent pregnancy. STUDY DESIGN This observational study was based on birth records from 1,111,032 consecutive pregnancies linked to hospital discharge records in California (2007-2017). Interpregnancy body mass index change between the beginning of an index pregnancy and the beginning of the subsequent pregnancy was calculated from self-reported weight and height. Severe maternal morbidity was defined based on the Centers for Disease Control and Prevention index, including and excluding transfusion-only cases. We used multivariable log-binomial regression models to estimate adjusted risks, overall and stratified by prepregnancy body mass index at index birth. RESULTS Substantial interpregnancy body mass index gain (≥4 kg/m2) was associated with severe maternal morbidity in crude but not adjusted analyses. Substantial interpregnancy body mass index loss (>2 kg/m2) was associated with increased risk of severe maternal morbidity (adjusted relative risk, 1.13; 95% confidence interval (1.07-1.19), and both substantial loss (adjusted relative risk, 1.11 [1.02-1.19]) and gain (≥4 kg/m2; adjusted relative risk, 1.09 [1.02-1.17]) were associated with nontransfusion severe maternal morbidity. Substantial loss (adjusted relative risk, 1.17 [1.05-1.31]) and gain (1.26 [1.14-1.40]) were associated with stillbirth. Body mass index gain was positively associated with large-for-gestational-age infants and inversely associated with small-for-gestational-age infants. CONCLUSION Substantial interpregnancy body mass index changes were associated with modestly increased risk of severe maternal morbidity, stillbirth, and small- and large-for-gestational-age infants.
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Affiliation(s)
- Barbara F Abrams
- Division of Epidemiology, School of Public Health, University of California, Berkeley, CA (XX Abrams)
| | - Stephanie A Leonard
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (XX Leonard, XX Lyell, and Dr Carmichael)
| | - Peiyi Kan
- Division of Neonatology and Developmental Medicine, Department of Pediatrics, School of Medicine, Stanford University, Stanford University School of Medicine, Stanford, CA (XX Kan and Dr Carmichael)
| | - Deirdre J Lyell
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (XX Leonard, XX Lyell, and Dr Carmichael)
| | - Suzan L Carmichael
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (XX Leonard, XX Lyell, and Dr Carmichael); Division of Neonatology and Developmental Medicine, Department of Pediatrics, School of Medicine, Stanford University, Stanford University School of Medicine, Stanford, CA (XX Kan and Dr Carmichael).
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Amegavluie REA, Ani-Amponsah M, Naab F. Women's experiences of surviving severe obstetric complications: a qualitative inquiry in southern Ghana. BMC Pregnancy Childbirth 2022; 22:212. [PMID: 35296276 PMCID: PMC8928636 DOI: 10.1186/s12884-022-04538-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 02/28/2022] [Indexed: 12/04/2022] Open
Abstract
Women who survive severe obstetric complications (SOC) have health and well-being issues even up to 1 year postpartum and have challenges in their quality-of-life (QoL). However, little is known about their predicaments. This study aimed to describe the impact of severe obstetric complications on women’s QoL and well-being after surviving severe obstetric complications. Using the WHO standards for near-miss, twelve (12) women who survived severe obstetric complications were recruited between January and March 2019. The study adopted a qualitative approach with an exploratory descriptive design to explore the experiences of women who survived SOC in Southern Ghana. The participants were purposively sampled and were interviewed face to face in their homes and healthcare facility after discharge from the Hospital. Recorded interviews were transcribed and analyzed. Two (2) major themes and nine (9) sub-themes emerged. The findings revealed that women who suffered SOC are unable to perform functional activities, have financial constraints, residual hypertension, signs and symptoms of anaemia, pain, and mostly have difficulty in sleeping due to fear of death when they fall asleep. Anxiety, sadness, and emotional trauma was a common phenomenon. The study findings offer insights and directions on measures to improve the care and QoL of women who have survived severe obstetric complications in Ghana.
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Affiliation(s)
| | - Mary Ani-Amponsah
- Maternal and Child Health Department, School of Nursing and Midwifery/ College of Health Sciences. University of Ghana, Legon, Ghana
| | - Florence Naab
- Maternal and Child Health Department, School of Nursing and Midwifery/ College of Health Sciences. University of Ghana, Legon, Ghana
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Leonard SA, Main EK, Lyell DJ, Carmichael SL, Kennedy CJ, Johnson C, Mujahid MS. Obstetric comorbidity scores and disparities in severe maternal morbidity across marginalized groups. Am J Obstet Gynecol MFM 2022; 4:100530. [PMID: 34798329 PMCID: PMC10980357 DOI: 10.1016/j.ajogmf.2021.100530] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/30/2021] [Accepted: 11/10/2021] [Indexed: 01/17/2023]
Abstract
BACKGROUND A recently developed obstetrical comorbidity scoring system enables the comparison of severe maternal morbidity rates independent of health status at the time of birth hospitalization. However, the scoring system has not been evaluated in racial-ethnic and socioeconomic groups or used to assess disparities in severe maternal morbidity. OBJECTIVE This study aimed to evaluate the performance of an obstetrical comorbidity scoring system when applied across racial-ethnic and socioeconomic groups and to determine the effect of comorbidity score risk adjustment on disparities in severe maternal morbidity. STUDY DESIGN We analyzed a population-based cohort of live births that occurred in California during 2011 through 2017 with linked birth certificates and birth hospitalization discharge data (n=3,308,554). We updated a previously developed comorbidity scoring system to include the International Classification of Diseases, Ninth and Tenth Revisions, Clinical Modifications diagnosis codes and applied the scoring system to subpopulations (groups) defined by race-ethnicity, nativity, payment method, and educational attainment. We then calculated the risk-adjusted rates of severe maternal morbidity (including and excluding blood transfusion-only cases) for each group and estimated the disparities for these outcomes before and after adjustment for the comorbidity score using logistic regression. RESULTS The obstetric comorbidity scores performed consistently across groups (C-statistics ranged from 0.68 to 0.76; calibration curves demonstrated overall excellent prediction of absolute risk). All non-White groups had significantly elevated rates of severe maternal morbidity before and after risk adjustment for comorbidities when compared with the White group (1.3% before, 1.3% after) (American Indian-Alaska Native: 2.1% before, 1.8% after; Asian: 1.5% before, 1.7% after; Black: 2.5% before, 2.0% after; Latinx: 1.6% before, 1.7% after; Pacific Islander: 2.2% before, 1.9% after; and multi-race groups: 1.7% before, 1.6% after). Risk adjustment also modestly increased disparities for the foreign-born group and government insurance groups. Higher educational attainment was associated with decreased severe maternal morbidity rates, which was largely unaffected by comorbidity risk adjustment. The pattern of results was the same whether or not transfusion-only cases were included as severe maternal morbidity. CONCLUSION These results support the use of an updated comorbidity scoring system to assess disparities in severe maternal morbidity. Disparities in severe maternal morbidity decreased in magnitude for some racial-ethnic and socioeconomic groups and increased in magnitude for other groups after adjustment for the comorbidity score.
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Affiliation(s)
- Stephanie A Leonard
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA; California Maternal Quality Care Collaborative, Stanford University, Stanford, CA.
| | - Elliott K Main
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA; California Maternal Quality Care Collaborative, Stanford University, Stanford, CA
| | - Deirdre J Lyell
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA; California Maternal Quality Care Collaborative, Stanford University, Stanford, CA
| | - Suzan L Carmichael
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA; Department of Pediatrics, Stanford University, Stanford, CA
| | - Chris J Kennedy
- Department of Biomedical Informatics, Harvard University, Boston, MA
| | - Christina Johnson
- Department of Obstetrics and Gynecology, Stanford University, Stanford, CA
| | - Mahasin S Mujahid
- Division of Epidemiology and Biostatistics, University of California, Berkeley, CA
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Raineau M, Deneux‐Tharaux C, Seco A, Bonnet M. Antepartum severe maternal morbidity: A population-based study of risk factors and delivery outcomes. Paediatr Perinat Epidemiol 2022; 36:171-180. [PMID: 34964499 PMCID: PMC9255856 DOI: 10.1111/ppe.12847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/13/2021] [Accepted: 11/24/2021] [Indexed: 11/27/2022]
Abstract
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.
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Affiliation(s)
- Mégane Raineau
- Centre for Epidemiology and Statistics Sorbonne Paris Cité (CRESS)Obstetric Perinatal and Paediatric Epidemiology Research TeamEPOPéINSERMINRAParis UniversityParisFrance
| | - Catherine Deneux‐Tharaux
- Centre for Epidemiology and Statistics Sorbonne Paris Cité (CRESS)Obstetric Perinatal and Paediatric Epidemiology Research TeamEPOPéINSERMINRAParis UniversityParisFrance
| | - Aurélien Seco
- Centre for Epidemiology and Statistics Sorbonne Paris Cité (CRESS)Obstetric Perinatal and Paediatric Epidemiology Research TeamEPOPéINSERMINRAParis UniversityParisFrance,Clinical Research Unit Necker/CochinAP‐HPParisFrance
| | - Marie‐Pierre Bonnet
- Centre for Epidemiology and Statistics Sorbonne Paris Cité (CRESS)Obstetric Perinatal and Paediatric Epidemiology Research TeamEPOPéINSERMINRAParis UniversityParisFrance,Department of Anaesthesia and Intensive CareArmand Trousseau HospitalSorbonne UniversityDMU DREAMParisFrance,Group of Clinical Research 29 (GRC 29)Assistance‐Publique Hôpitaux de Paris (AP‐HP)ParisFrance
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Padilla C, Zakowski M, Einav S, Weiniger C, Landau R, Chestnut D. The time is now: addressing the need for training in maternal critical care medicine. Int J Obstet Anesth 2022; 50:103544. [DOI: 10.1016/j.ijoa.2022.103544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 02/18/2022] [Accepted: 03/18/2022] [Indexed: 11/25/2022]
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An Exploratory Spatiotemporal Analysis of Socio-Environmental Patterns in Severe Maternal Morbidity. Matern Child Health J 2022; 26:1077-1086. [PMID: 35060067 DOI: 10.1007/s10995-021-03330-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/25/2021] [Indexed: 10/19/2022]
Abstract
OBJECTIVES Severe Maternal Morbidity (SMM) is a group of pregnancy complications in which a woman nearly dies. Despite its increasing prevalence, little research has evaluated geographic patterns of SMM and the underlying social determinants that influence excess risk. This study examined the spatial clustering of SMM across South Carolina, US, and its associations with place-based social and environmental factors. METHODS Hospitalized deliveries from 2012 to 2017 were analyzed using Kulldorff's spatial scan statistic to locate areas with abnormally high rates of SMM. SMM patients inside and outside risk clusters were compared using Generalized Estimating Equations (GEE) to determine underlying individual and community-level risk factors. RESULTS GEE models revealed that the odds of living in a high-risk SMM21 (SMM including blood transfusions) cluster was 2.49 times higher among Black patients (p < .001) compared to those outside of a high-risk cluster. Women residing in a high-risk SMM20 (SMM excluding blood transfusions) cluster were 1.38 times more likely to experience the most number of extremely hot days and 1.70 times more likely to present with obesity than women in a low-risk SMM cluster (p < .001). CONCLUSIONS This study is the first to characterize the geographic clustering of SMM risk in the US. Our geospatial approach contributes a novel understanding to factors which influence SMM beyond patient-level characteristics and identifies the impact of hot ambient temperature on maternal morbidity. Findings address an important literature gap surrounding place-based risk factors by explaining the contextual social and built environmental factors that drive SMM risk.
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Boulet SL, Stanhope KK, Worrell N, Jamieson DJ. Risk of recurrent severe maternal morbidity in an urban safety net health system. Am J Obstet Gynecol MFM 2022; 4:100568. [PMID: 35033749 DOI: 10.1016/j.ajogmf.2022.100568] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 01/04/2022] [Accepted: 01/09/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND Rates of severe maternal morbidity (SMM) are steadily increasing in the US and are highest among women who are Black, publicly insured, or deliver at a safety net hospital. There is limited information on the risk of SMM recurrence in subsequent births, particularly among socially vulnerable women. OBJECTIVE To estimate the risk of SMM recurrence among a singleton births in a large, public hospital system. STUDY DESIGN We conducted a population-based cohort study using electronic medical record data on deliveries occurring at an urban public hospital between 2011 and 2020. We included all women with two singleton deliveries at ≥20 weeks gestation (live or stillborn) during the study period and assessed SMM recorded at delivery or within 42 days postpartum. We used generalized linear models to estimate adjusted risk ratios (aRR), adjusted risk differences (aRD) and 95% confidence intervals (CI) for SMM at the subsequent birth, controlling for age, parity, self-reported race/ethnicity, insurance type, chronic hypertension and diabetes, and obesity at the index delivery. RESULTS Between 2011 and 2020, there were 26,994 singleton deliveries to 21,638 women. Among 4,368 women with two singleton births at ≥20 weeks gestation, 4.8% (n=211) had SMM at the index birth, and 5.7% (n=250) had SMM at the subsequent birth. SMM at the index birth was associated with an over 3-fold increased risk of SMM in a subsequent pregnancy (aRR 3.65, 95% CI: 2.65-5.03) and an excess risk of 12.9 per 100 deliveries (aRD 12.9, 95% CI: 7.7-18.1). CONCLUSIONS The results of our study suggest that women who experienced SMM in a prior birth are at increased risk for SMM recurrence and may warrant additional monitoring in subsequent pregnancies.
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Affiliation(s)
- Sheree L Boulet
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA (Drs Boulet, Stanhope, and Jamieson).
| | - Kaitlyn K Stanhope
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA (Drs Boulet, Stanhope, and Jamieson)
| | | | - Denise J Jamieson
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA (Drs Boulet, Stanhope, and Jamieson)
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Phibbs CM, Kozhimannil KB, Leonard SA, Lorch SA, Main EK, Schmitt SK, Phibbs CS. A Comprehensive Analysis of the Costs of Severe Maternal Morbidity. Womens Health Issues 2022; 32:362-368. [PMID: 35031196 DOI: 10.1016/j.whi.2021.12.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 12/07/2021] [Accepted: 12/14/2021] [Indexed: 10/19/2022]
Abstract
INTRODUCTION The objectives of this study were to include readmissions and physician costs in the estimates of total costs of severe maternal morbidity (SMM), to consider the effect of SMM on maternal length of stay (LOS), and to examine these for the more restricted definition of SMM that excludes transfusion-only cases. METHODS California linked birth certificate-patient discharge data for 2009 through 2011 (n = 1,262,862) with complete costs and LOS were used in a secondary data analysis. Cost-to-charge ratios were used to estimate costs from charges, adjusting for inflation. Physician payments were estimated from the mean payments for specific diagnosis-related groups. Generalized linear models estimated the association between SMM and costs and LOS. RESULTS Excluding readmissions and physician costs, SMM was associated with a 60% increase in hospital costs (marginal effect [ME], $3,550) and a 33% increase in LOS (ME 0.9 days). These increased to 70% (ME $5,806) and 46% (ME 1.3 days) when physician costs and readmissions were included. The effects of SMM were roughly one-half as large for patients who only required a blood transfusion (49% [ME $4,056] and 31% [ME 0.9 days]) as for patients who had another indicator for SMM (93% [ME $7,664] and 62% [ME 1.7 days]). CONCLUSIONS Postpartum hospital readmissions and physician costs are important and previously unreported contributors to the costs of SMM. Excess costs and LOS associated with SMM vary considerably by indication. Cost effects were larger than the LOS effects, indicating that SMM increases treatment intensity beyond increasing LOS, and decreasing SMM may have broader health and cost benefits than previously understood.
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Affiliation(s)
| | - Katy B Kozhimannil
- Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Stephanie A Leonard
- Department of Obstetrics & Gynecology, Stanford University School of Medicine, Palo Alto, California; California Maternal Quality Care Collaborative, Palo Alto, California
| | - Scott A Lorch
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Elliott K Main
- Department of Obstetrics & Gynecology, Stanford University School of Medicine, Palo Alto, California; California Maternal Quality Care Collaborative, Palo Alto, California
| | - Susan K Schmitt
- Health Economics Resource Center, Veterans Affairs Palo Alto Healthcare System, Menlo Park, California; Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California
| | - Ciaran S Phibbs
- Health Economics Resource Center, Veterans Affairs Palo Alto Healthcare System, Menlo Park, California; Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California.
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Ruppel H, Liu VX, Kipnis P, Hedderson MM, Greenberg M, Forquer H, Lawson B, Escobar GJ. Development and Validation of an Obstetric Comorbidity Risk Score for Clinical Use. WOMEN'S HEALTH REPORTS (NEW ROCHELLE, N.Y.) 2021; 2:507-515. [PMID: 34841397 PMCID: PMC8617587 DOI: 10.1089/whr.2021.0046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 09/02/2021] [Indexed: 06/13/2023]
Abstract
Background: A comorbidity summary score may support early and systematic identification of women at high risk for adverse obstetric outcomes. The objective of this study was to conduct the initial development and validation of an obstetrics comorbidity risk score for automated implementation in the electronic health record (EHR) for clinical use. Methods: The score was developed and validated using EHR data for a retrospective cohort of pregnancies with delivery between 2010 and 2018 at Kaiser Permanente Northern California, an integrated health care system. The outcome used for model development consisted of adverse obstetric events from delivery hospitalization (e.g., eclampsia, hemorrhage, death). Candidate predictors included maternal age, parity, multiple gestation, and any maternal diagnoses assigned in health care encounters in the 12 months before admission for delivery. We used penalized regression for variable selection, logistic regression to fit the model, and internal validation for model evaluation. We also evaluated prenatal model performance at 18 weeks of pregnancy. Results: The development cohort (n = 227,405 pregnancies) had an outcome rate of 3.8% and the validation cohort (n = 41,683) had an outcome rate of 2.9%. Of 276 candidate predictors, 37 were included in the final model. The final model had a validation c-statistic of 0.72 (95% confidence interval [CI] 0.70-0.73). When evaluated at 18 weeks of pregnancy, discrimination was modestly diminished (c-statistic 0.68 [95% CI 0.67-0.70]). Conclusions: The obstetric comorbidity score demonstrated good discrimination for adverse obstetric outcomes. After additional appropriate validation, the score can be automated in the EHR to support early identification of high-risk women and assist efforts to ensure risk-appropriate maternal care.
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Affiliation(s)
- Halley Ruppel
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Vincent X. Liu
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Patricia Kipnis
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Monique M. Hedderson
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Mara Greenberg
- East Bay Department of Obstetrics and Gynecology, Kaiser Permanente Northern California, Oakland, California, USA
| | - Heather Forquer
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Brian Lawson
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Gabriel J. Escobar
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
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Snelgrove JW, Lam M, Watson T, Richard L, Fell DB, Murphy KE, Rosella LC. Neighbourhood material deprivation and severe maternal morbidity: a population-based cohort study in Ontario, Canada. BMJ Open 2021; 11:e046174. [PMID: 34615673 PMCID: PMC8496377 DOI: 10.1136/bmjopen-2020-046174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVES Rates of age-associated severe maternal morbidity (SMM) have increased in Canada, and an association with neighbourhood income is well established. Our aim was to examine SMM trends according to neighbourhood material deprivation quintile, and to assess whether neighbourhood deprivation effects are moderated by maternal age. DESIGN, SETTING AND PARTICIPANTS A population-based retrospective cohort study using linked administrative databases in Ontario, Canada. We included primiparous women with a live birth or stillbirth at ≥20 weeks' gestational age. PRIMARY OUTCOME SMM from pregnancy onset to 42 days postpartum. We calculated SMM rate differences (RD) and rate ratios (RR) by neighbourhood material deprivation quintile for each of four 4-year cohorts from 1 April 2002 to 31 March 2018. Log-binomial multivariable regression adjusted for maternal age, demographic and pregnancy-related variables. RESULTS There were 1 048 845 primiparous births during the study period. The overall rate of SMM was 18.0 per 1000 births. SMM rates were elevated for women living in areas with high material deprivation. In the final 4-year cohort, the RD between women living in high vs low deprivation neighbourhoods was 3.91 SMM cases per 1000 births (95% CI: 2.12 to 5.70). This was higher than the difference observed during the first 4-year cohort (RD 2.09, 95% CI: 0.62 to 3.56). SMM remained associated with neighbourhood material deprivation following multivariable adjustment in the pooled sample (RR 1.16, 95% CI: 1.11 to 1.21). There was no evidence of interaction with maternal age. CONCLUSION SMM rate increases were more pronounced for primiparous women living in neighbourhoods with high material deprivation compared with those living in low deprivation areas. This raises concerns of a widening social gap in maternal health disparities and highlights an opportunity to focus risk reduction efforts toward disadvantaged women during pregnancy and postpartum.
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Affiliation(s)
- John W Snelgrove
- Obstetrics & Gynaecology, Sinai Health System, Toronto, Ontario, Canada
- Obstetrics & Gynaecology, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | | | | | | | - Deshayne B Fell
- ICES, Toronto, Ontario, Canada
- CHEO Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Kellie E Murphy
- Obstetrics & Gynaecology, Sinai Health System, Toronto, Ontario, Canada
- Obstetrics & Gynaecology, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Laura C Rosella
- ICES, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Public Health Ontario, Toronto, Ontario, Canada
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Cho SH, Leonard SA, Lyndon A, Main EK, Abrams B, Hameed AB, Carmichael SL. Pre-pregnancy Obesity and the Risk of Peripartum Cardiomyopathy. Am J Perinatol 2021; 38:1289-1296. [PMID: 32512606 PMCID: PMC7722175 DOI: 10.1055/s-0040-1712451] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVE The aim of this study is to evaluate the contribution of pre-pregnancy obesity and overweight to peripartum cardiomyopathy. STUDY DESIGN This population-based study used linked birth record and maternal hospital discharge data from live births in California during 2007 to 2012 (n = 2,548,380). All women who had a diagnosis of peripartum cardiomyopathy during the childbirth hospitalization or who were diagnosed with peripartum cardiomyopathy during a postpartum hospital readmission within 5 months of birth were identified as cases. Pre-pregnancy body mass index (BMI, kg/m2) was classified as normal weight (18.5-24.9), overweight (25.0-29.9), obesity class 1 (30.0-34.9), obesity class 2 (35.0-39.9), and obesity class 3 (≥40). Because of small numbers, we excluded women with underweight BMI, and in some analyses, we combined obesity classes into one group. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) expressing associations between BMI and peripartum cardiomyopathy, adjusted for maternal age, race/ethnicity, education, health care payer, parity, plurality, and comorbidities. RESULTS The overall prevalence of peripartum cardiomyopathy during hospital admissions was 1.3 per 10,000 live births (n = 320). Unadjusted ORs were 1.32 (95% CI: 1.01-1.74) for women with overweight BMI and 2.03 (95% CI: 1.57-2.62) for women with obesity, compared with women with normal pre-pregnancy BMI. Adjusted ORs were 1.26 (95% CI: 0.95-1.66) for overweight women and 1.38 (95% CI: 1.04-1.84) for women with obesity. The ORs suggested a dose-response relationship with increasing levels of obesity, but the 95% CIs for the specific classes of obesity included 1.00. CONCLUSION Pre-pregnancy obesity was associated with an increased risk of peripartum cardiomyopathy. These findings underscore the importance of BMI during pregnancy. There is a need to recognize the increased risk of peripartum cardiomyopathy in women with high BMI, especially in the late postpartum period. KEY POINTS · Pre-pregnancy obesity affects maternal health.. · Effects may extend to peripartum cardiomyopathy.. · The risk includes peripartum cardiomyopathy that emerges postpartum..
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Affiliation(s)
- Seo-Ho Cho
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, California
| | - Stephanie A. Leonard
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California
| | - Audrey Lyndon
- Rory Meyers College of Nursing, New York University, New York, New York
| | - Elliott K. Main
- California Maternal Quality Care Collaborative, Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California
| | - Barbara Abrams
- Division of Epidemiology, University of California Berkeley School of Public Health, Berkeley, California
| | - Afshan B. Hameed
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of California Irvine School of Medicine, Irvine, California,Division of Cardiology, Department of Medicine, University of California Irvine School of Medicine, Irvine, California
| | - Suzan L. Carmichael
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California,Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California
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Black CM, Vesco KK, Mehta V, Ohman-Strickland P, Demissie K, Schneider D. Costs of Severe Maternal Morbidity in U.S. Commercially Insured and Medicaid Populations: An Updated Analysis. WOMEN'S HEALTH REPORTS (NEW ROCHELLE, N.Y.) 2021; 2:443-451. [PMID: 34671765 PMCID: PMC8524749 DOI: 10.1089/whr.2021.0026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 09/02/2021] [Indexed: 06/13/2023]
Abstract
Background: The most common reason for hospitalization in the United States is childbirth. The costs of childbirth are substantial. Materials and Methods: This was a retrospective cohort study of hospital deliveries identified in the MarketScan® Commercial and Medicaid health insurance claim databases. Women with an inpatient birth in the calendar year 2016 were included. Severe maternal morbidity (SMM) was identified using the Centers for Disease Control and Prevention algorithm of 21 International Classification of Diseases-10 codes. Mean costs and cost ratios for women with and without SMM were reported. Generalized linear models were used to analyze demographic and clinical variables influencing delivery costs. Results: We identified 1,486 women in the Commercial population, who had a birth in 2016 and met the criteria for SMM. The total mean per-patient costs of care for women with and without SMM were $50,212 and $23,795, respectively. In the Medicaid population there were 29,763 births, of which 342 met the criteria for SMM. The total mean per-patient costs of care for women with and without SMM were $26,513 and $9,652, respectively. A multifetal gestation, a cesarean delivery, maternal age, and pregnancy-related complications were independently predictive of increased delivery costs in both Commercial and Medicaid populations. Conclusions: The occurrence of SMM was associated with an increase in maternity-related costs of 111% in the Commercial and 175% in the Medicaid population. Some of the factors associated with increased delivery hospitalization costs could be treated or avoided.
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Affiliation(s)
- Christopher M. Black
- School of Public Health, Rutgers University, Piscataway, New Jersey, USA
- Merck & Co., Inc., Center for Observational and Real-World Evidence (CORE), Kenilworth, New Jersey, USA
| | | | - Vinay Mehta
- Merck & Co., Inc., Center for Observational and Real-World Evidence (CORE), Kenilworth, New Jersey, USA
| | | | - Kitaw Demissie
- School of Public Health, Rutgers University, Piscataway, New Jersey, USA
- School of Public Health, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Dona Schneider
- School of Public Health, Rutgers University, Piscataway, New Jersey, USA
- Edward J. Bloustein School of Planning and Public Policy, Rutgers University, New Brunswick, New Jersey, USA
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Higher risk of hemorrhage and maternal morbidity in vaginal birth after second stage of labor C-section. Arch Gynecol Obstet 2021; 305:1431-1438. [DOI: 10.1007/s00404-021-06254-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 09/13/2021] [Indexed: 10/20/2022]
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