Objective: The objective of the study was to compare neonatal mortality and morbidity in very preterm twins with the first twin in cephalic presentation in hospitals with a policy of planned vaginal delivery (PVD) and those with a policy of planned cesarean delivery (PCD).
Study Design: Women with preterm cephalic first twins delivered after preterm labor and/or premature preterm rupture of membranes from 26(0/7) to 31(6/7) weeks of gestation were identified from the databases of 6 perinatal centers and classified as PVD or PCD according to the center's management policy from 1999 to 2010. Severe neonatal morbidity was defined as any of the following: intraventricular hemorrhage grades 3-4, periventricular leukomalacia, necrotizing enterocolitis, bronchopulmonary dysplasia, and hospital death. The independent effect of the planned mode of delivery, defined by the center's management policy, was tested and quantified with a 2-level multivariable logistic regression.
Results: The PVD group included 248 women, and the PCD group 63. Maternal characteristics did not differ between the 2 groups. The rate of vaginal delivery was 85.9% (213 of 248) vs 20.6% (13 of 63) (P < .001), and the rate of cesarean delivery for the second twin was 1.6% (4 of 248) vs 4.8% (3 of 63) (P = .13) for PVD and PCD. PVD had no independent effect on either newborn hospital mortality or severe neonatal composite morbidity.
Conclusion: A policy of planned vaginal delivery of very preterm twins with the first twin in cephalic presentation does not increase either severe neonatal morbidity or mortality.
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http://dx.doi.org/10.1016/j.ajog.2015.02.020 | DOI Listing |
Diabetes Metab Syndr Obes
January 2025
School of Marxism, Capital Normal University, Beijing, People's Republic of China.
With the aging of China's population and lifestyle changes, the number of patients with type 2 diabetes (T2D) has surged, posing a significant challenge to the public health system. This study explores the application and effectiveness of artificial intelligence (AI) technology in T2D management from a Chinese perspective. AI demonstrates substantial potential in personalized treatment planning, real-time monitoring and early warning, telemedicine, and health management.
View Article and Find Full Text PDFEClinicalMedicine
January 2025
School of Physical Therapy, Faculty of Health Science, Western University, London, Ontario, Canada.
Background: Given the chronic immune activation and inflammatory milieu associated with Long COVID and HIV, we assessed the prevalence of Long COVID in adults living with HIV; and investigated whether adults living with HIV were associated with increased chance of developing Long COVID compared to adults living without HIV.
Methods: In this systematic review and meta-analysis, we searched Medline, EMBASE, CINHAL, PubMed and CENTRAL from inception until June 14th, 2024, for observational studies that measured the prevalence of Long COVID in adults living with HIV and the odds of developing Long COVID following a SARS-CoV-2 infection in people living with HIV compared to people living without HIV. Reviews, case reports, randomised control trials and editorials were excluded.
Heliyon
January 2025
College of Management, Guangzhou City University of Technology, Guangzhou, Guangdong,510800, China.
This study examined the impact of government subsidies on enterprise innovation performance in China. The fixed effects model was used for empirical analysis, utilizing panel data from 17,670 observations of 3703 listed A-share companies between 2012 and 2022, and the findings indicate that government subsidies significantly enhance enterprise innovation performance, with R&D investment serving as a partial mediator. The enterprise scale, ownership nature, and regional economic differences influenced the effectiveness of the subsidy.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda
Objectives: Empowering communities through identifying and unlocking community capacities and capabilities is vital for improving community health systems. This study assessed the community health system's status quo and readiness for implementing a government-led, partner-supported community health worker project.
Design: A mixed methods cross-sectional study.
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