Medicine
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It may be difficult to distinguish between enchondroma and low-grade malignant cartilage tumors (grade 1) radiologically. This study aimed to construct machine learning models using 3D computed tomography (CT)-based radiomics analysis to differentiate low-grade chondrosarcoma from enchondroma. A total of 30 patients with enchondroma and 26 with chondrosarcoma were included in this retrospective study. ⋯ Therefore, a dataset containing 107 features was used for machine learning classification. When assessed based on area under curve (AUC) values, classification using all features revealed that naive Bayes was the best model (AUC = 0.950), while classification using 5 features revealed that random forest was the best model for differentiating chondrosarcoma from enchondroma (AUC = 0.967). In conclusion, machine learning models using CT-based radiomics analysis can be used to differentiate between low-grade chondrosarcoma and enchondroma.
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Observational Study
Anemia among adult patients with diabetes attending King Abdulaziz University Hospital: A retrospective study.
The prevalence of anemia in adults with diabetes is of growing importance due to its impact on overall health and the management of diabetes-related complications. This study aimed to determine the prevalence of anemia among adult patients with diabetes at King Abdulaziz University Hospital in Jeddah, Saudi Arabia. A retrospective study was done on 1208 patients with diabetes >18 years who attended the study setting from 2010 to 2022. ⋯ Anemia screening should be included in the routine assessment of patients with diabetes. A multidisciplinary approach involving endocrinologists, hematologists, and dietitians is recommended to ensure holistic care and address all aspects of the patient's health. In addition, further research should be supported to better understand the mechanisms linking diabetes and anemia and to establish evidence-based guidelines for managing anemia in diabetics.
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Observational Study
The value of real-time shear wave elastography in spontaneous preterm birth.
This study aimed to investigate the predictive value of real-time shear wave elastography (SWE) for spontaneous preterm birth (SPB). This study prospectively selected 175 women with singleton pregnancies at 16 to 36 weeks of gestation. Cervical length (CL) and uterocervical angle (UCA) were measured using transvaginal ultrasonography. ⋯ In addition, the AUC value of the logistic regression model's ROC curve was 0.892 (95% CI: 0.804-0.981), with a sensitivity of 0.867, specificity of 0.792, and Youden's index of 0.659, indicating that the regression model has good predictive ability for SPB. Real-time shear wave elastography showed a higher predictive value for SPB than CL and UCA. The SWE combined with CL and comorbidities during pregnancy model has a good predictive ability for SPB.
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The accelerated adoption of digital health technologies in the last decades has raised important ethical and safety concerns. Despite the potency and usefulness of digital health technologies, addressing safety, and ethical considerations needs to take greater prominence. This review paper focuses on ethical and safety facets, including health technology-related risks, users' safety and well-being risks, security and privacy concerns, and risks to transparency and diminished accountability associated with the utilization of digital health technologies. In order to maximize the potential of health technology benefits, awareness of safety risks, and ethical concerns should be increased, and the use of appropriate strategies and measures should be considered.
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Wilson's disease (WD) is a rare autosomal recessive disease that causes impaired copper circulation and excretion. The initial manifestations of WD vary clinically, which makes early diagnosis very difficult. Sleep disorders have been described as common symptoms of WD, but the initial manifestations are in rare cases. ⋯ We describe acute insomnia as the initial manifestation of WD in a 21-year-old male patient. Timely diagnosis allows for early copper-eliminating pharmacotherapy, which is of high prognostic importance, as the patient may be more responsive to treatment at this point.