Transitioning to the nursing home setting is a complex process for family caregivers of older adults with dementia. While nursing home placement (NHP) can alleviate certain caregiving responsibilities, new stressors can also emerge. In the present study, the researchers examined how care-related factors can change leading up to NHP and how these factors influence caregiver outcomes following NHP. A sample of 634 family dementia caregivers (n = 634) were surveyed at three six-month intervals prior to NHP and once during the 12 month period following institutionalization. Growth curve modeling revealed dynamic changes in certain factors leading up to NHP (e.g., caregivers' perceived health), while other factors remained stable (e.g., caregiver burden). Several factors emerged as significant predictors of caregiver burden following NHP, including pre-placement burden and adult day service utilization. For geriatric social workers, these findings may be useful in assessing family caregivers, and in the development and utilization of appropriate interventions.
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http://dx.doi.org/10.1080/00981381003635296 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
Insights Imaging
January 2025
Department of Radiology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China.
Objective: To assess the utility of clinical and MRI features in distinguishing ovarian clear cell carcinoma (CCC) from adnexal masses with ovarian-adnexal reporting and data system (O-RADS) MRI scores of 4-5.
Methods: This retrospective study included 850 patients with indeterminate adnexal masses on ultrasound. Two radiologists evaluated all preoperative MRIs using the O-RADS MRI risk stratification system.
J Matern Fetal Neonatal Med
December 2025
Department of Obstetrics, Perinatology and Neonatology, Center of Postgraduate Medical Education, Warsaw, Poland.
Introduction: Small-for-gestational age (SGA) newborns are at increased risk of adverse neonatal outcomes and the risk is related to the etiology of growth restriction: highest in placental insufficiency, lowest in constitutional SGA. The aim of this study was to investigate if placental growth factor (PlGF), soluble fms-like tyrosine kinase-1(sFlt-1) or sFlt-1/PlGF ratio are efficient in prediction of adverse neonatal outcomes in SGA newborns delivered ≥34 weeks of gestation.
Methods: A prospective observational multicenter cohort study was performed.
J Med Microbiol
January 2025
Institute of Advanced Study in Science and Technology (IASST), Guwahati 781035, Assam, India.
Cold atmospheric plasma (CAP) has emerged as a promising technology for neutralizing microbes, including multidrug-resistant strains. This study investigates CAP's potential as an alternative to traditional antimicrobial drugs for microbial inactivation. In the era of increasing antimicrobial resistance, there is a persistent need for alternative antimicrobial strategies.
View Article and Find Full Text PDFLangmuir
January 2025
Institute of Chemical Technology and Engineering, Faculty of Chemical Technology, Poznan University of Technology, ul. Berdychowo 4, PL 60-965 Poznan, Poland.
Despite extensive research on the use of salts to enhance micellar growth, numerous questions remain regarding the impact of ionic exchange and molecular structure on charge neutralization. This study looks into how certain cations (Na, Ca, and Mg) affect the structure of a cocamidopropyl betaine CAPB and sodium dodecylbenzenesulfonate SDBS surfactant mixture, aiming toward applications in targeted delivery systems. The mixture consists of a zwitterionic surfactant, cocamidopropyl betaine (CAPB), and an anionic surfactant, sodium dodecylbenzenesulfonate (SDBS), combined in varying molar ratios at a total concentration of 200 mM.
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