A clinical decision support system (CDSS) is a computerized application that helps clinicians detect and prevent untoward clinical events such as drug interactions, errors of omission, and trends in symptomatology. A CDSS in healthcare usually is built around an alerting system based on rules of logic. The alerting system of a CDSS can notify clinicians immediately on clinical data entry, or it can generate alerts over time after relating data from multiple sources. A CDSS for nurses and patients offers immediate benefits for nurses and patients by detecting potential drug-laboratory and drug-drug combinations and impending pharmacologic complications, monitoring microbiology results, and helping nurses relate symptoms to pharmacology and medication side effects. Other benefits include savings in time and money and reductions in morbidity and mortality. A CDSS presents an opportunity for nursing informatics and critical care nursing to collaborate for the benefit of the patient and the profession.
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http://dx.doi.org/10.1097/00044067-200308000-00004 | DOI Listing |
Curr Eye Res
January 2025
Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA.
Purpose: This study aimed to initially test whether machine learning approaches could categorically predict two simple biological features, mouse age and mouse species, using the retinal segmentation metrics.
Methods: The retinal layer thickness data obtained from C57BL/6 and DBA/2J mice were processed for machine learning after segmenting mouse retinal SD-OCT scans. Twenty-two models were trained to predict the mouse groups.
Dermatol Ther (Heidelb)
January 2025
Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Section of Dermatology, University of Messina, 98125, Messina, Italy.
Introduction: Patients with psoriasis (PsO) and permanent spinal cord injuries (SCI) resulting in paraplegia and tetraplegia may experience a higher rate of infections compared to patients with PsO without SCI. It can result in further challenges for therapeutic management with immunosuppressants (biological and non-biological treatments). Thus, we aimed to evaluate the rate of infections in patients with PsO and SCI treated with systemic immunosuppressants.
View Article and Find Full Text PDFOphthalmol Ther
January 2025
Qvision, Department of Ophthalmology of VITHAS Almería Hospital, 04120, Almería, Spain.
The prevailing narrative in scientific literature has long overemphasized the role of ocular axes in intraocular lens (IOL) implantation, perpetuating misconceptions that have led to unnecessary exclusions of patients. Historical assumptions, coupled with inconsistent terminology and statistical inaccuracies, have muddled clinical decision-making. This review delves into these misconceptions, offering a critical reassessment of their relevance.
View Article and Find Full Text PDFGenes Genomics
January 2025
Department of Pediatric Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, Henan, China.
Background: The clinical course of high-risk neuroblastoma patients remains suboptimal, and the dynamic and reversible nature of cellular senescence provides an opportunity to develop new therapies.
Objective: This study aims to identify unique markers of cellular senescence in neuroblastoma and to explore their clinical significance.
Methods: The impact of multiple genetic regulatory mechanisms on cellular senescence-associated genes (CSAGs) was first assessed.
Ann Hematol
January 2025
Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350000, China.
Primary head and neck mucosa-associated lymphoid tissue lymphoma (HN-MALT) is a rare lymphoma with unknown incidence and prognosis. We allocated HN-MALT data from the Self-Surveillance, Epidemiology, and End Results database (2000-2021) into training and validation cohorts at a 7:3 ratio. A joinpoint regression analysis was used to examine sex-specific and age-group morbidities, and independent prognostic factors were identified through multivariate Cox analysis to construct a nomogram prediction model and verify the accuracy of prediction.
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