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Trends and Disparities in Severe Maternal Morbidity Indicator Categories during Childbirth Hospitalization in California from 1997 to 2017.
El Ayadi, Alison M; Lyndon, Audrey; Kan, Peiyi; Mujahid, Mahasin S; Leonard, Stephanie A; Main, Elliott K; Carmichael, Suzan L.
Afiliación
  • El Ayadi AM; Department of Obstetrics, Gynecology and Reproductive Sciences, Department of Epidemiology and Biostatistics, University of California, San Francisco, California.
  • Lyndon A; NYU Rory Meyers College of Nursing, New York, New York.
  • Kan P; Department of Pediatrics, Stanford University School of Medicine, Stanford, California.
  • Mujahid MS; Division of Epidemiology, School of Public Health, University of California Berkeley, Berkeley, California.
  • Leonard SA; Department of Obstetrics and Gynecology, Dunlevie Maternal-Fetal Medicine Center, Stanford University School of Medicine, Stanford, California.
  • Main EK; Department of Obstetrics and Gynecology, Dunlevie Maternal-Fetal Medicine Center, Stanford University School of Medicine, Stanford, California.
  • Carmichael SL; Department of Pediatrics, Department of Obstetrics and Gynecology, Stanford University, Stanford, California.
Am J Perinatol ; 2024 Jan 29.
Article en En | MEDLINE | ID: mdl-38057087
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..

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Am J Perinatol Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Am J Perinatol Año: 2024 Tipo del documento: Article