Epidemiology and outcomes of older trauma patients in Singapore: A multicentre study

Chua, Mui Teng; Pan, Darius Shaw Teng; Lee, Ming Zhou; Thajudeen, Mohammed Zuhary; Rahman, Mohamed Madeena Faizur; Sheth, Irfan Abdulrahman; Ong, Venetia; Tang, Jonathan Zhe Ying; Wee, Choon Peng Jeremy; Kuan, Win Sen

doi:10.1016/j.injury.2022.08.018

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…Realizing the urgency, many countries around the world have begun to conduct injury-related research to understand injury epidemiology. [38][39][40][41][42] The injury mechanisms mainly focused on falls, road traffic incidents, and violence. 43 Exploring epidemiological characteristics of injuries is fundamental to better understanding the distribution of time, region, and population and potential influencing factors.…”

Section: Main Research Domains and Future Trends On Injury Burdenmentioning

confidence: 99%

Temporal Trend and Research Focus of Injury Burden from 1998 to 2022: A Bibliometric Analysis

Liu¹,

Li²,

Ji³

et al. 2023

JMDH

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Background: Injury is one of the leading causes of mortality and disability worldwide. It is a major contributor to the overall burden of disease. This study aimed to analyze the temporal trend, research focus and future direction of research related to injury burden. Methods: Publications on injury burden published between January 1998 and September 2022 were extracted from the Web of Science Core Collection (WoSCC) through topic advanced search strategy. Microsoft Excel, RStudio, VOSviewer, and CiteSpace were used to extract, integrate, and visualize bibliometric information. Results: A total of 2916 articles and 783 reviews were identified. The number of publications on injury burden showed a steady upward trend. The United States of America (USA) (n=1628) and the University of Washington (n=1036) were the most productive country and institution. High-income countries started research in this domain earlier, while research in low-and middle-income countries began in recent years. Lancet was the most influential journal. Public, environmental occupational health, general medicine and neurology were the predominant research domains. Based on keyword co-occurrence analysis, the research focus was divided into five clusters: injury epidemiology and prevention, studies related to the global burden of disease (GBD), risk factors for injury, clinical management of injury, and injury outcome assessment and economic burden. Conclusion:The burden of injury has drawn increasing attention from various perspectives over the years. The research field on injury burden is also becoming more and more extensive. However, there are some gaps among different countries or regions, and more attention needs to be paid to low and middle-income countries.

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Section: Main Research Domains and Future Trends On Injury Burdenmentioning

confidence: 99%

Temporal Trend and Research Focus of Injury Burden from 1998 to 2022: A Bibliometric Analysis

Liu¹,

Li²,

Ji³

et al. 2023

JMDH

View full text Add to dashboard Cite

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“…The progress of medical care has brought unprecedented growth of life expectancy in the world [ 4 ]. Aging is now a phenomenon worldwide, with the population aged 65 and over projected to increase from 9.3% in 2020 to 16.0% in 2050 [ 5 ]. In addition, elderly people's lifestyles are becoming more and more independent and active [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Overview of Geriatric Trauma in an Urban Trauma Center in Eastern China: Implications from Computational Intelligence for Localized Trauma-Specific Frailty Index System Design

Dong

et al. 2023

Int J Comput Intell Syst

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Due to the lifestyle and activity of the aging population, it is expected that geriatric trauma will increase and become one of the major challenges in health care. The objective of this study was to determine epidemiological differences between geriatric trauma patients and their younger counterparts, and to find the implications for localized Trauma-Specific Frailty Index (TSFI) system design. This study was a retrospective analysis of adult patients registered in the Trauma Registry, comparisons were made between the geriatric patients, aged over 65 years old, and the younger patients, aged 18–64 years old. Variables were collected include demography, injury mechanism, type, severity of injuries sustained, and outcomes. From July 2018 to July 2021, 2594 trauma patients were evaluated. Injury severity score (ISS) in the geriatric patients’ group is not higher than the younger patients’ group statistically (P = 0.066), and results in increased ICU occupancy and mortality risk as compared with the younger patients (P < 0.05). The majority of geriatric patients suffered falls from low heights and traffic accidents. The geriatric patients most suffered isolated injuries of the extremities/pelvis (31.8%) commonly. In contrast to the younger patients, they had more injuries of the head/neck or polytrauma (P < 0.05). This study provided a snapshot of the trauma burden in a proportion of the urban geriatric patients in Eastern China. The geriatric patients are unlike their younger counterparts, and their unique features should be considered in the future development of computational intelligence, particularly in the case of localized TSFI system design.

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“…Therefore, rib fracture cases are expected to increase with global aging [ 8 ]. The cause of rib fractures varies between age groups; they are usually caused by falls in older adults, traffic accidents in adults, and violent conflicts in adolescents [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Determining rib fracture age from CT scans with a radiomics-based combined model: a multicenter retrospective study

Tang,

Jin,

et al. 2023

Insights Imaging

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Objectives We aimed to develop a combined model based on clinical and radiomic features to classify fracture age. Methods We included 1219 rib fractures from 239 patients from our center between March 2016 and September 2022. We created an external dataset using 120 rib fractures from 32 patients from another center between October 2019 and August 2023. According to tasks (fracture age between < 3 and ≥ 3 weeks, 3–12, and > 12 weeks), the internal dataset was randomly divided into training and internal test sets. A radiomic model was built using radiomic features. A combined model was constructed using clinical features and radiomic signatures by multivariate logistic regression, visualized as a nomogram. Internal and external test sets were used to validate model performance. Results For classifying fracture age between < 3 and ≥ 3 weeks, the combined model had higher areas under the curve (AUCs) than the radiomic model in the training set (0.915 vs 0.900, p = 0.009), internal test (0.897 vs 0.854, p < 0.001), and external test sets (0.881 vs 0.811, p = 0.003). For classifying fracture age between 3–12 and > 12 weeks, the combined model had higher AUCs than the radiomic model in the training model (0.848 vs 0.837, p = 0.12) and internal test sets (0.818 vs 0.793, p < 0.003). In the external test set, the AUC of the nomogram-assisted radiologist was 0.966. Conclusion The combined radiomic and clinical model showed good performance and has the potential to assist in the classification of rib fracture age. This will be beneficial for clinical practice and forensic decision-making. Critical relevance statement This study describes the development of a combined radiomic and clinical model with good performance in the classification of the age of rib fractures, with potential clinical and forensic applications. Key points • Complex factors make it difficult to determine the age of a fracture. • Our model based on radiomic features performed well in classifying fracture age. • Associating the radiomic features with clinical features improved the model’s performance. Graphical Abstract

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Epidemiology and outcomes of older trauma patients in Singapore: A multicentre study

Cited by 4 publications

References 33 publications

Temporal Trend and Research Focus of Injury Burden from 1998 to 2022: A Bibliometric Analysis

Temporal Trend and Research Focus of Injury Burden from 1998 to 2022: A Bibliometric Analysis

Overview of Geriatric Trauma in an Urban Trauma Center in Eastern China: Implications from Computational Intelligence for Localized Trauma-Specific Frailty Index System Design

Determining rib fracture age from CT scans with a radiomics-based combined model: a multicenter retrospective study

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