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| http://dx.doi.org/10.1161/JAHA.116.003648 | DOI Listing |
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The parental care-seeking behavior of children with osteogenesis imperfecta based on the Anderson's model: a qualitative study.
BMC Nurs
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Department of Orthopedic, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Objective: This study aims to analyze the medical-seeking behavior of Osteogenesis Imperfecta(OI) children in Southwest China, summarize and analyze the issues in their medical process, and propose corresponding improvement strategies.
Methods: A phenomenological study involving semi-structured interviews with 20 OI caregivers at a tertiary centre for children from March to August 2021 was analyzed thematically, following Anderson's model.
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Wake-up call for recovery: a paradigm shift to address the deep crisis in Israel's public mental health services in the shadow of October 7, 2023.
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January 2025
Geha Mental Health Center, Helsinki 1st, Petach-Tikva, +9729258220, Israel.
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View Article and Find Full Text PDFCannabis consumption and risk of asthma: a systematic review and meta-analysis.
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Global Health and Infectious Diseases Control Institute, Nasarawa State University, Keffi, Nigeria.
Background: Cannabis is the third most widely used psychoactive substance globally, and its consumption has been increasing, particularly with the growing trend of legalization for medicinal and recreational use. Recent studies have raised concerns about the potential impact of cannabis on respiratory health, specifically the risk of asthma, a significant public health concern. This systematic review aimed to consolidate research on the association between cannabis use and the risk of asthma.
View Article and Find Full Text PDFModeling and simulation of distribution and drug resistance of major pathogens in patients with respiratory system infections.
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Department of Respiratory Medicine, Anting Hospital of Jiading District, 1060 Hejing Road, Anting Town, Jiading District, Shanghai, 201805, China.
Background: Respiratory tract infections (RTIs) are one of the leading causes of morbidity and mortality worldwide. The increase in antimicrobial resistance in respiratory pathogens poses a major challenge to the effective management of these infections.
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AI-based analysis of fetal growth restriction in a prospective obstetric cohort quantifies compound risks for perinatal morbidity and mortality and identifies previously unrecognized high risk clinical scenarios.
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.
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