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Quality of life in people with syndromic heritable thoracic aortic disease and their relatives: a qualitative interview based study.
Orphanet J Rare Dis
January 2025
Department of Social Work, Child Welfare and Social Policy, Faculty of Social Science, Oslo Metropolitan University, Oslo, Norway.
Introduction: The purpose of this study was to investigate perceptions and opinions on what constitutes determinants for quality of life (QoL) in individuals with syndromic Heritable Aortic Disease (sHTAD), utilizing a qualitative study approach. Further to discuss clinical implications and direction for research.
Method: A qualitative focus group interview study was conducted of 47 adults (Marfan syndrome (MFS) = 14, Loeys-Dietz syndrome (LDS) = 11, vascular Ehlers Danlos syndrome (EDS) = 11, relatives = 11).
Optimizing vaccine uptake in sub-Saharan Africa: a collaborative COVID-19 vaccination campaign in Madagascar using an adaptive approach.
Implement Sci
January 2025
Research group: Implementation Research, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Background: The COVID-19 pandemic has highlighted the need for more effective immunization programs, including in limited resource settings. This paper presents outcomes and lessons learnt from a COVID-19 vaccination campaign (VC), which used a tailored adaptive strategy to optimise vaccine uptake in the Boeny region of Madagascar.
Methods: Guided by the Dynamic Sustainability Framework (DSF), the VC implementation was regularly reviewed through multi-sectoral stakeholder feedback, key informant interviews, problem-solving meetings, and weekly monitoring of outcome indicators to identify and apply key adaptations.
Clinical characteristics, outcomes, and costs of COVID-19 patients in Thai hospitels: a comparative analysis based on chest X-ray findings.
BMC Infect Dis
January 2025
Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Background: "Hospitels" are hotels that have been specially converted to healthcare facilities. Their utilization emerged as a resource-optimization strategy during the peak of the COVID-19 pandemic in Thailand. This study evaluated the clinical characteristics, outcomes, and admission costs of asymptomatic and mild-to-moderate COVID-19 patients treated in these facilities.
View Article and Find Full Text PDFAssessment of bacterial positivity rate changes in anesthesia machine internal circuits within recovery rooms and associated risk factors.
BMC Anesthesiol
January 2025
Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital of Nanjing Medical University, No.300 of Guangzhou Road, Gulou District, Nanjing, Jiangsu, 210029, China.
Objective: The objective of this study is to investigate bacterial proliferation within the internal circuits of anesthesia machines in post-anesthesia care units (PACUs) following the implementation of the new protocol, where 'a single dedicated external circuit is used for each individual patient.' This measure was introduced during the COVID-19 pandemic, in alignment with a novel prevention and control strategy.
Methods: Using the observational technique, we analyzed anesthesia machines in PACUs between July and September 2022.
Driving force analysis and multi-scenario simulation of landscape ecological risk in the Jianghan Plain, China.
Sci Rep
January 2025
Hubei Key Laboratory of Biologic Resources Protection and Utilization, Hubei Minzu University, Enshi, 445000, Hubei Province, China.
As a key food production base, land use changes in the Jianghan Plain (JHP) significantly affect the surface landscape structure and ecological risks, posing challenges to food security. Assessing the ecological risk of the JHP, identifying its drivers, and predicting the risk trends under different scenarios can provide strategic support for ecological risk management and safeguarding food security in the JHP. In this study, the landscape ecological risk (LER) index was constructed by integrating landscape indices from 2000 to 2020, firstly analyzing its spatiotemporal characteristics, subsequently identifying the key influencing factors by using the GeoDetector model, and finally, simulating the risk changes under the four scenarios by using the Markov-PLUS model.
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