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Objective: To examine differences in cause-of-maternal-death assignment based on underlying versus multiple causes of death.
Design: Cross-sectional, population-based study.
Setting: United States, 1999-2002 and 2018-2022.
Population: 1633 maternal deaths in 1999-2002 and 1929 maternal deaths in 2018-2022.
Methods: Causes of death were identified based on the underlying cause of death and also based on multiple causes of death. The frequency of six selected obstetrical causes of death was quantified and ranked.
Results: Pre-eclampsia (0.87 per 100 000 live births, 95% confidence interval [CI] 0.74-1.02) was the most common cause of maternal death in 2018-2022, when cause-of-death assignment was based on the underlying cause of death. Amniotic fluid embolism and cardiomyopathy tied for second rank, haemorrhage placed fourth and puerperal sepsis and uterine rupture tied for the fifth rank. Rankings based on multiple causes of death showed a different pattern: haemorrhage (1.13 per 100 000 live births, 95% CI 0.98-1.29) was the most common cause, followed by pre-eclampsia, cardiomyopathy, amniotic fluid embolism, puerperal sepsis and uterine rupture. There was no significant correlation between the cause-of-maternal death rankings based on the underlying and multiple causes of death (correlation coefficient 0.62, 95% CI-0.39, 0.95; p value 0.19) in 2018-2022. Cause-of-death rankings were significantly correlated under the two methods of cause-of-death assignment in 1999-2002 (correlation coefficient 0.83, 95% CI 0.05, 0.98; p value 0.04).
Conclusion: Basing cause-of-death assignment and ranking of the causes of maternal death using a multiple causes-of-death approach may better inform clinical and public health priorities for reducing maternal mortality.
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http://dx.doi.org/10.1111/1471-0528.18298 | DOI Listing |
J Phys Chem A
September 2025
Department of Chemistry, Tsinghua University, Beijing 100084, China.
A series of Cu-based single-atom catalysts (SACs) with asymmetric coordination were designed to accelerate lithium-sulfur (Li-S) chemistry. The electronegativity contrast from the dopant induces a localized electronic asymmetry that amplifies Jahn-Teller distortion at the Cu center. This distortion profoundly modulates the Cu 3d electronic structure and its interaction with Li-S intermediates.
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Division of Gastroenterology and Hepatology, Lynda K. and David M. Underwood Center for Digestive Health, Houston Methodist Hospital, Houston, TX, USA.
Purpose Of Review: This review aims to characterize the known cardiovascular (CV) manifestations associated with inflammatory bowel disease (IBD) and the underlying mechanisms driving these associations.
Recent Findings: Gut dysbiosis, a hallmark of patients with IBD, can result in both local and systemic inflammation, thereby potentially increasing the risk of cardiovascular disease (CVD) in the IBD population. Micronutrient deficiencies, anemia, and sarcopenia independently increase the risk of CVD and are frequent comorbidities of patients with IBD.
Food Funct
September 2025
College of Food Science, Southwest University, Chongqing, 400715, China.
Bifidobacteria are naturally found in the human gut and quickly establish dominance shortly after birth, playing a crucial role in the development and stability of the infant gut microbiota. A growing body of research suggests that host and environmental factors shape the colonization and the relative abundance of bifidobacteria in the infant gut during early life. Understanding the factors that influence bifidobacterial colonization and maintaining normal colonization levels are keys to ensuring gut health.
View Article and Find Full Text PDFCell Tissue Res
September 2025
Grupo de Investigaciones Biológicas y Moleculares (GIByM), Instituto de Química Básica y Aplicada del Nordeste Argentino (IQUIBA NEA), Universidad Nacional del Nordeste (UNNE)-CONICET, Corrientes, Argentina.
Angiogenesis, the formation of new blood vessels from pre-existing vasculature, is a crucial process in both physiological and pathological contexts, including cancer. Phospholipases A (PLAs), enzymes found in snake venoms, have attracted attention due to their potential antiangiogenic properties. In this study, we explored the antiangiogenic effects of PLA isoforms isolated from Bothrops diporus venom using a combination of in vivo and ex vivo models.
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
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