Background: Early identification of massive transfusion (MT) requirement in geriatric patients with severe trauma is challenging. Existing systems for predicting MT need in trauma patients have not been systematically evaluated for their relevance to the geriatric population. This study aimed to evaluate the predictive accuracy of initial vital signs and the Glasgow coma scale (GCS) in geriatric trauma patients for predicting MT.
Methods: We conducted a retrospective review involving data from geriatric patients with severe trauma admitted to our Level I trauma center for an observational study and to develop a prognostic model for MT using logistic regression. The new trauma scoring system was compared with the existing scoring systems.
Results: A total of 193 patients with exhaustive medical records were included in the analysis; 19 (9.8%) of them received MT. A new trauma scoring system, RHG, was calculated, which involved GCS score, heart rate, and respiratory rate. Compared with existing trauma scores, our novel model, RHG, yielded the highest area under the receiver operating characteristic (ROC) curve for the prediction of MT (0.861; 95% confidence interval [CI], 0.788 - 0.933). The RHG exhibited a robust sensitivity of 90.0% and a respectable specificity of 75.3% in identifying MT.
Conclusions: The RHG scoring system is a simplified, yet powerful, tool for predicting the necessity of MT in geriatric patients with severe trauma. By utilizing just the GCS score, heart rate, and respiratory rate, it offers an early indicator of MT requirement, eliminating the need for sophisticated equipment.
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http://dx.doi.org/10.7754/Clin.Lab.2024.240822 | DOI Listing |
Blood
January 2025
H. Lee Moffitt Cancer Center, Tampa, Florida, United States.
Myelodysplastic syndromes/neoplasms (MDS) are a widely heterogenous group of myeloid malignancies characterized by morphologic dysplasia, a defective hematopoiesis, and recurrent genetic abnormalities. The original and revised International Prognostic Scoring Systems (IPSS) have been used to risk-stratify patients with MDS to guide treatment strategies. In higher-risk MDS, the therapeutic approach is geared toward delaying leukemic transformation and prolonging survival.
View Article and Find Full Text PDFJ Trauma Nurs
January 2025
Author Affiliations: Department of Neurosurgery (Dr Xiao), Department of Nursing Care, Affiliated Hospital of Chengdu University, Chengdu, China (Dr Wang).
Background: Traditional nursing care often fails to meet the complex needs of hypertensive cerebral hemorrhage patients. Limited evidence exists on the efficacy of structured nursing frameworks such as the Omaha System in postoperative care for these patients.
Objective: This study aims to evaluate the efficacy of Omaha-based extended nursing care in improving patients' outcomes.
PLoS One
January 2025
Institute of Psychiatry, Psychology & Neuroscience at King's College London, London, United Kingdom.
Fluctuation-related pain (FRP) affects more than one third of people with Parkinson's disease (PwP, PD) and has a harmful effect on health-related quality of life (HRQoL), but often remains under-reported by patients and neglected by clinicians. The National Institute for Health and Care Excellence (NICE) recommends The Parkinson KinetiGraphTM (the PKGTM) for remote monitoring of motor symptoms. We investigated potential links between the PKGTM-obtained parameters and clinical rating scores for FRP in PwP in an exploratory, cross-sectional analysis of two prospective studies: "The Non-motor International Longitudinal, Real-Life Study in PD-NILS" and "An observational-based registry of baseline PKG™ in PD-PKGReg".
View Article and Find Full Text PDFPLoS One
January 2025
Nanjing University of Science and Technology, Jiangsu, China.
Student performance is crucial for addressing learning process problems and is also an important factor in measuring learning outcomes. The ability to improve educational systems using data knowledge has driven the development of the field of educational data mining research. Here, this paper proposes a machine learning method for the prediction of student performance based on online learning.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Healthcare Economics and Quality Management, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Background: The COVID-19 pandemic, declared in March 2020, profoundly affected global health, societal, and economic frameworks. Vaccination became a crucial tactic in combating the virus. Simultaneously, the pandemic likely underscored the internet's role as a vital resource for seeking health information.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!