Postgraduate Medical Journal最新文献

Background: The challenges posed by an aging society are increasingly recognized, particularly regarding the potential impacts of high-fat diets and the trend toward younger ages of disease onset. The purpose of this study was to clarify the relationships between the prevalence of stroke in the general US population and PhenoAge (PA) and PhenoAgeAccel (PAA).

Methods: Key methods included a correlation heatmap to explore linear relationships between some of the variables and weighted multivariable logistic regression to assess associations between PA, PAA, and stroke. Restricted cubic spline (RCS) analysis was used to investigate nonlinear relationships and dose-response effects. The ability of the PAA to predict stroke risk was assessed by a nomogram model and a receiver operating characteristic curve.

Results: After adjusting for confounding variables, both continuous and categorical PA and PAA were significantly associated with stroke prevalence. RCS analysis revealed a significant nonlinear relationship between PA and stroke prevalence. Further subgroup RCS analysis indicated that maintaining PA below 31.6 could provide greater benefits across all races and genders, specifically for individuals aged 40-80 years and those who are overweight or obese.

Conclusion: This study highlights the importance of stroke prevention in overweight and obese populations. Monitoring intermediary factors such as high-density lipoprotein cholesterol and waist circumference may reduce stroke risk. Additionally, PA and PAA may serve as novel markers for stroke, offering new directions for health management in an aging society.

Background: Based on current research, it is known that the gastrointestinal tract microbiota and its genome play a crucial role in mental illnesses. Studies indicate a direct correlation between gastrointestinal tract microbiota and the onset of dementia, mediated by metabolic diseases and low-grade inflammation. The association between various gastrointestinal symptoms and neurodegenerative diseases has been recently discussed. However, there is a lack of research regarding the comparative effects of different surgical procedures on neurodegenerative diseases. Therefore, this study primarily focuses on comparing the association between various gastrointestinal surgeries and dementia, aiming to provide guidance for future clinical practice.

Method: A nationwide study using the Taiwanese National Health Insurance Research Database included 26 059 patients diagnosed with dementia or Alzheimer's disease and 104 236 controls without diseases. Primary exposures were defined as alimentary surgeries, encompassing cholecystectomy, gastrectomy, bowel resection, and appendectomy. Conditional logistic regression was used to examine the odds ratio and 95% confidence interval for prior alimentary surgery between cases and controls.

Results: The results showed that individuals with dementia had a higher rate of gastrectomy. Additionally, individuals with dementia seemed to exhibit a reduced rate of cholecystectomy and appendectomy. Regarding Alzheimer's disease, all four alimentary surgeries showed comparable trends to those observed with dementia. No significant interaction was observed between alimentary surgery and dementia among the four types of surgery evaluated.

Conclusion: Our study demonstrates that gastrectomy is associated with an elevated risk of dementia. We aim to uncover more direct evidence in future experiments.

Background: Williams-Beuren syndrome, Noonan syndrome, and Alagille syndrome are common types of genetic syndromes (GSs) characterized by distinct facial features, pulmonary stenosis, and delayed growth. In clinical practice, differentiating these three GSs remains a challenge. Facial gestalts serve as a diagnostic tool for recognizing Williams-Beuren syndrome, Noonan syndrome, and Alagille syndrome. Pretrained foundation models (PFMs) can be considered the foundation for small-scale tasks. By pretraining with a foundation model, we propose facial recognition models for identifying these syndromes.

Methods: A total of 3297 (n = 1666) facial photos were obtained from children diagnosed with Williams-Beuren syndrome (n = 174), Noonan syndrome (n = 235), and Alagille syndrome (n = 51), and from children without GSs (n = 1206). The photos were randomly divided into five subsets, with each syndrome and non-GS equally and randomly distributed in each subset. The proportion of the training set and the test set was 4:1. The ResNet-100 architecture was employed as the backbone model. By pretraining with a foundation model, we constructed two face recognition models: one utilizing the ArcFace loss function, and the other employing the CosFace loss function. Additionally, we developed two models using the same architecture and loss function but without pretraining. The accuracy, precision, recall, and F1 score of each model were evaluated. Finally, we compared the performance of the facial recognition models to that of five pediatricians.

Results: Among the four models, ResNet-100 with a PFM and CosFace loss function achieved the best accuracy (84.8%). Of the same loss function, the performance of the PFMs significantly improved (from 78.5% to 84.5% for the ArcFace loss function, and from 79.8% to 84.8% for the CosFace loss function). With and without the PFM, the performance of the CosFace loss function models was similar to that of the ArcFace loss function models (79.8% vs 78.5% without PFM; 84.8% vs 84.5% with PFM). Among the five pediatricians, the highest accuracy (0.700) was achieved by the senior-most pediatrician with genetics training. The accuracy and F1 scores of the pediatricians were generally lower than those of the models.

Conclusions: A facial recognition-based model has the potential to improve the identification of three common GSs with pulmonary stenosis. PFMs might be valuable for building screening models for facial recognition. Key messages What is already known on this topic:  Early identification of genetic syndromes (GSs) is crucial for the management and prognosis of children with pulmonary stenosis (PS). Facial phenotyping with convolutional neural networks (CNNs) often requires large-scale training data, limiting its usefulness for GSs. What this study adds:  We successfully built multi-classification models based on face recognition using a

Purpose: To investigate the effect of first 24-hour (24-h) urine output (UO) on in-hospital and 1-year mortality in patients admitted to intensive care units due to acute myocardial infarction.

Methods: This was a retrospective cohort study based on the medical information mart for intensive care IV database involving patients admitted to intensive care units due to acute myocardial infarction. Patients were classified as low UO (LUO), high UO (HUO), and middle UO with a first 24-h UO below 800 ml, over 2500 ml, or in between, respectively. The primary outcome was in-hospital mortality and the secondary outcome was 1-year mortality.

Results: A total of 4337 patients were involved. Taking middle UO group as reference, after adjusting for confounders including age, gender, height, weight, comorbidity, occurrence of cardiogenic shock, revascularization, blood pressure, creatinine, N-terminal pro-brain natriuretic peptide, and use of loop diuretics, LUO was independently associated with higher in-hospital mortality [odds ratio 4.05, 95% confidence interval (CI): 3.12-5.26], while HUO was an independent protective factor (odds ratio 0.52, 95% CI: 0.35-0.77). In the multivariant Cox regression model, LUO was an independent risk factor for 1-year mortality (hazard ratio 2.65, 95% CI: 2.16-3.26), while HUO did not show significant association.

Conclusion: In patients admitted to intensive care units due to acute myocardial infarction, first 24-h UO <800 ml was a strong predictor for higher in-hospital and 1-year mortality, while first 24-h UO over 2500 ml was associated with lower in-hospital mortality but not long-term mortality.

Purpose: Osteoporosis (OP) is characterized by a gradual onset and an increased susceptibility to osteoporotic fractures. Previous retrospective studies have suggested that hemoglobin (HGB) levels could be a potential diagnostic marker for OP. However, the relationship between OP and anemia remains uncertain. This prospective study aimed to investigate the association between HGB levels and OP.

Methods: Leveraging data from the UK Biobank, a cohort of 452 778 individuals was analyzed. Employing a modified Cox proportional hazards model that accounted for sociodemographic factors, lifestyle, and health-related factors, we examined the links between incident OP and sex. Moreover, we investigated the impact of OP with or without a pathological fracture.

Results: Following a median follow-up period of 5.85 years, 4294 participants were diagnosed with OP. After adjusting for a comprehensive range of pertinent confounders, individuals with anemia exhibited a 2.15-fold higher risk of OP in males and a 1.41-fold higher risk in females. Moreover, each unit increase in HGB concentration corresponded to a 0.83-fold decrease in OP risk for men and a 0.94-fold decrease for women.

Perspectives: Our findings reveal a significant correlation between HGB levels or anemia and OP, with males demonstrating a greater susceptibility compared to females. The risk of OP decreased with higher HGB concentrations in both sexes, although this effect was more pronounced in males. It is recommended to conduct longitudinal studies to investigate the causality of the observed connections and experimental studies to understand the underlying mechanisms.

Medicine is currently confronted with an increase in irrationality, and non-scientific thinking manifesting in semingly more holistic and natural treatment options, especially in cancer therapy. The Covid-19 pandemic has demonstrated that irrational beliefs are widely spread even among physicians. Max Bill (1908-94) was a Swiss architect, designer, and artist representing an art style called concrete art that focuses on geometrical abstraction and mathematical thinking. December 9, 2024, will be the 30th death anniversary of Max Bill. The following manuscript describes Max Bill's life and art and tries to offer some suggestions on how his concept of art together with the philosophy of critical rationalism may be excellent instruments to teach medical students and young doctors scientific thinking, and may even be an antidote for irrationality in medicine.

Background: Traditional assessments often lack flexibility, personalized feedback, real-world applicability, and the ability to measure skills beyond rote memorization. These may not adequately accommodate diverse learning styles and preferences, nor do they always foster critical thinking or creativity. The inclusion of Artificial Intelligence (AI), especially Generative Pre-trained Transformers, in medical education marks a significant shift, offering both exciting opportunities and notable challenges for authentic assessment practices. Various fields, including anatomy, physiology, pharmacy, dentistry, and pathology, are anticipated to employ the metaverse for authentic assessments increasingly. This innovative approach will likely enable students to engage in immersive, project-based learning experiences, facilitating interdisciplinary collaboration and providing a platform for real-world application of knowledge and skills.

Methods: This commentary paper explores how AI, authentic assessment, and Student-as-Partners (SaP) methodologies can work together to reshape assessment practices in medical education.

Results: The paper provides practical insights into effectively utilizing AI tools to create authentic assessments, offering educators actionable guidance to enhance their teaching practices. It also addresses the challenges and ethical considerations inherent in implementing AI-driven assessments, emphasizing the need for responsible and inclusive practices within medical education. Advocating for a collaborative approach between AI and SaP methodologies, the commentary proposes a robust plan to ensure ethical use while upholding academic integrity.

Conclusion: Through navigating emerging assessment paradigms and promoting genuine evaluation of medical knowledge and proficiency, this collaborative effort aims to elevate the quality of medical education and better prepare learners for the complexities of clinical practice.

Objective: To investigate the associations of tea, coffee, and red wine intakes with health risks among individuals with hypertension.

Methods: This prospective cohort study included participants with hypertension from the UK Biobank cohort. Study exposures included self-reported intakes of coffee, tea, and red wine. The primary outcome was all-cause mortality, and the secondary outcomes were cardiovascular mortality and cardiovascular disease. The associations of beverage intake with outcomes were analyzed using Cox regression models. The hazard ratios and 95% confidence intervals were estimated.

Results: A total of 187 708 participants with hypertension were included. The median follow-up period was 13.8 years. In individuals with hypertension, drinking one to two cups/day of coffee or three to four cups/day of tea was significantly associated with the lowest risk of all-cause mortality compared with less than one cup/day [hazard ratio for coffee, 0.943 (95% confidence interval, 0.908-0.979); hazard ratio for tea, 0.882 (95% confidence interval, 0.841-0.924)]. Red wine intake was inversely associated with all-cause mortality risk. Dose-response analysis revealed that high coffee intake (approximately greater than or equal to six cups/day) was significantly associated with increased risks of cardiovascular mortality and cardiovascular disease, but high tea and red wine intakes were not. Furthermore, replacing plain water with tea, but not coffee, significantly reduced the risks of all-cause mortality and cardiovascular disease. Replacing other alcoholic beverages with red wine also significantly reduced the risks of all three outcomes.

Conclusions: These findings suggest that tea and red wine, but not coffee, can be part of a healthy diet for the hypertensive population.