98%
921
2 minutes
20
Objective: Decrease: 1) time from tracheostomy or gastrostomy tube placement to discharge home, and 2) avoidable readmissions within 7 days post-discharge, for medically complex infants.
Study Design: Five neonatology units and representatives from Medicaid and Managed Care Organizations participated. Measures included length of stay (LOS) from surgery to discharge, readmissions, and time from surgery to identifying home nursing. We used statistical process control (SPC) methods and bivariate tests for post-hoc before-after comparisons.
Result: Among 421 infants, no avoidable readmissions occurred in the final 25 months. LOS and all-cause readmissions were unchanged (SPC). LOS changes were variable, ranging from -39.5 days (tracheostomy and ventilator) to +30.8 days (tracheostomy without ventilator) and not significant. Median time to identify home nursing was 70.1 days (range 2-428).
Conclusion: Although lack of skilled home nursing precluded improving transitions from NICU to home in medically complex infants, all avoidable readmissions were eliminated for 25 months.
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http://dx.doi.org/10.1038/s41372-024-02189-7 | DOI Listing |
Neural Netw
September 2025
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China.
3D shape defect detection plays an important role in autonomous industrial inspection. However, accurate detection of anomalies remains challenging due to the complexity of multimodal sensor data, especially when both color and structural information are required. In this work, we propose a lightweight inter-modality feature prediction framework that effectively utilizes multimodal fused features from the inputs of RGB, depth and point clouds for efficient 3D shape defect detection.
View Article and Find Full Text PDFJ Neurosurg Case Lessons
September 2025
Department of Anesthesiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas.
Background: Breast cancer is one of the most common malignancies worldwide and is often treated with surgery. Post-mastectomy pain syndrome (PMPS) can have disabling consequences. The incidence of PMPS ranges from 20% to 68%.
View Article and Find Full Text PDFDementia (London)
September 2025
CIRCLE - Complex Intervention Research in Health and Care, Department of Women´s and Children´s Health, Uppsala University, Uppsala, Sweden.
People with dementia are living longer in the community and reliance on informal caregivers is increasing. Few studies have focused on the experiences of adult-daughter caregivers (daughter caregivers), who may have increased risk of depression and lack of support compared with spousal caregivers. We aimed to explore the experiences of accessing and receiving formal and informal support among daughter caregivers of people living with dementia in Sweden.
View Article and Find Full Text PDFJMIR Public Health Surveill
September 2025
Earth Observation Centre (EOC), Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Background: Neighborhoods resulting from rapid urbanization processes are often saturated with eateries for local communities, potentially increasing exposure to unhealthy foods and creating diabetogenic residential habitats.
Objective: We examined the association between proximity of commercial food outlets to local neighborhood residences and type 2 diabetes (T2D) cases to explore how local T2D rates vary by location and provide policy-driven metrics to monitor food outlet density as a potential control for high local T2D rates.
Methods: This cross-sectional ecological study included 11,354 patients with active T2D aged ≥20 years geocoded using approximate neighborhood residence aggregated to area-level rates and counts by subdistricts (mukims) in Penang, northern Malaysia.
JMIR Med Inform
September 2025
Department of Hepatobiliary and Vascular Surgery, First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Background: Primary liver cancer, particularly hepatocellular carcinoma (HCC), poses significant clinical challenges due to late-stage diagnosis, tumor heterogeneity, and rapidly evolving therapeutic strategies. While systematic reviews and meta-analyses are essential for updating clinical guidelines, their labor-intensive nature limits timely evidence synthesis.
Objective: This study proposes an automated literature screening workflow powered by large language models (LLMs) to accelerate evidence synthesis for HCC treatment guidelines.