Postgraduate Medical Journal最新文献

{"title":"Machine-learning models to predict serious adverse hospitalization events after ACS.","authors":"Hui Gao, Xuanze Liu, Dongyuan Sun, Xue Liu, Yasong Wang, Zhiqiang Zhang, Yaling Han, Xiaozeng Wang","doi":"10.1093/postmj/qgae180","DOIUrl":"https://doi.org/10.1093/postmj/qgae180","url":null,"abstract":"<p><strong>Objective: </strong>We developed a risk stratification model to predict serious adverse hospitalization events (mortality, cardiac shock, cardiac arrest) (SAHE) after acute coronary syndrome (ACS) based on machine-learning models and logistic regression model.</p><p><strong>Methods: </strong>This cohort study is based on the CCC-ACS project. The primary efficacy outcomes were SAHE. Clinical prediction models were established based on five machine-learning (XGBoost, RF, MLP, KNN, and stacking model) and logistic regression models.</p><p><strong>Results: </strong>Among the 112 363 patients in the study, age (55-65 years: OR: 1.392; 95%CI: 1.212-1.600; 65-75 years: OR: 1.878; 95%CI: 1.647-2.144; ≥75 year: OR: 2.976; 95%CI: 2.615-3.393), history of diabetes mellitus (OR: 1.188; 95%CI: 1.083-1.302), history of renal failure (OR: 1.645; 95%CI: 1.311-2.044), heart rate (60-100 beats/min: OR: 0.468; 95%CI: 0.409-0.536; ≥100 beats/min: OR: 0.540; 95%CI: 0.454-0.643), shock index (0.4-0.8: OR: 1.796; 95%CI: 1.440-2.264; ≥0.8: OR: 5.883; 95%CI: 4.619-7.561), KILLIP (II: OR: 1.171; 95%CI: 1.048-1.306; III: OR: 1.696; 95%CI: 1.469-1.952; IV: OR: 7.811; 95%CI: 7.023-8.684), and cardiac arrest at admission (OR: 12.507; 95%CI: 10.757-14.530) were independent predictors of severe adverse hospitalization events for ACS patients. In several machine-learning models, RF (AUC: 0.817; 95%CI: 0.808-0.826) and XGBoost (AUC: 0.816; 95%CI: 0.807-0.825) also showed good discrimination in the training set, which ranked the first two positions. They also presented good accuracy and the best clinical benefits in the decision curve analysis. In addition, logistic regression was able to discriminate the SAHE (AUC: 0.816; 95%CI: 0.807-0.825) and performed the best prediction accuracy (0.822; 95%CI: 0.822-0.822) compared to several machine-learning models. Model calibration and decision curve analysis showed these prediction models have similar predictive performance. Based on these findings, we developed two CCC-ACS In-hospital Major Adverse Events Risk Scores and its online calculator. One is based on machine-learning model (https://ccc-acs-sae-3-xcnjsvoccusjwkfhfthh44.streamlit.app/), and another is based on logistic regression model (https://ccc-acs-sae-logistic-9te57ylnq3kazkeuyc7dub.streamlit.app/), offering a validated tool to predict survival for patients with ACS during hospitalization.</p><p><strong>Conclusions: </strong>Machine-learning-based approaches for identifying predictors of SAHE after an ACS were feasible and practical. Based on this, we developed two online risk prediction websites for clinicians' decision-making. The CCC-ACS-MSAE score showed accurate discriminative capabilities for predicting severe adverse hospitalization events and might help guide clinical decision-making. Key messages: Three research questions and three bullet points What is already known on this topic? Observational studies have identified risk factors for in-hospital death i","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143557807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of cardiovascular health in the associations between insulin resistance, future cardiovascular disease, and all-cause mortality.","authors":"Weida Qiu, Chang Xiong, Kehao Zeng, Liwen Li, Zhiping Gao","doi":"10.1093/postmj/qgaf033","DOIUrl":"https://doi.org/10.1093/postmj/qgaf033","url":null,"abstract":"<p><strong>Background: </strong>Whether cardiovascular health (CVH) modifies the associations between insulin resistance (IR) and prognosis remains unclear. This study aims to evaluate the varying relationships between IR, future cardiovascular disease (CVD), and all-cause mortality across different CVH statuses.</p><p><strong>Methods: </strong>This was a nationwide cohort study using data from the China Health and Nutrition Survey. The CVH was assessed using the Life's Essential 8 (LE8) metrics, and IR was determined by the homeostasis model assessment of insulin resistance (HOMA-IR) index and the triglyceride-glucose (TyG) index. The study outcomes included incident CVD and all-cause mortality.</p><p><strong>Results: </strong>47.0% of the included participants (n = 8635) were men, and the mean age (SD) was 49.7 (15.8) years, with 37.5%, 51.6%, and 10.9% having poor, intermediate, and ideal CVH. During a 6-year follow-up, 482 (5.6%) participants had incident CVD, and 435 individuals died (incidence rate: 7.9 (95% CI: 7.2, 8.7) 1000 person-years). HOMA-IR and the TyG index were positively associated with increased risks of CVD and mortality among participants with intermediate or poor CVH, while no significant associations were found between IR indexes with CVD and death in those with ideal CVH (P for interaction < .05). 13.0% and 16.8% of the associations between CVH and CVD were mediated by HOMA-IR and the TyG index. Similar significant indirect effects of HOMA-IR and the TyG index on the relationship between CVH and all-cause mortality were observed.</p><p><strong>Conclusions: </strong>CVH significantly modified the associations between two IR surrogates and long-term CVD and all-cause mortality. Increased risk probabilities of future CVD and mortality were observed among individuals with intermediate or poor CVH. IR mediated a substantial proportion of the associations between CVH and CVD and all-cause mortality, emphasizing the importance of maintaining healthy behaviors and factors to reduce the burden of CVD and mitigate the detrimental impact of IR. Key message What is already known on this subject  The global prevalence of insulin resistance (IR) and diabetes mellitus (DM) is extremely high and their associated disease burden is heavy. Ideal cardiovascular health (CVH) is significant associated with a lower risk of IR and better prognosis. What this study adds  Only 10.9% of the participants maintained ideal CVH in this large Chinese cohort, while more than one-third had poor CVH. CVH significantly modified the associations between two IR surrogates and long-term CVD and all-cause mortality. Increased risk probabilities of future CVD and mortality were observed among individuals with intermediate or poor CVH. IR mediated a substantial proportion of the associations between CVH and CVD and all-cause mortality. How this study might affect research, practice, or policy  Our study indicated that a large number of Chinese citizens still have ","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143557437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drug selection in the management of acute low back pain and sciatica: consideration of pain characteristics and drug metabolism.","authors":"Chao Zhang, Qian Wu","doi":"10.1093/postmj/qgaf025","DOIUrl":"https://doi.org/10.1093/postmj/qgaf025","url":null,"abstract":"","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143483605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hyperkalaemia: the unintended consequence of prescribing Co-trimoxazole for complex infections.","authors":"Andrew Lazarowicz, Matthew O'Connor, Audrey Morris, Angus McFadyen, Sharon Irvine, Chris Isles","doi":"10.1093/postmj/qgaf022","DOIUrl":"https://doi.org/10.1093/postmj/qgaf022","url":null,"abstract":"","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143459010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Academic pressure behind the suicide crisis of doctoral students at the Indian Institute of Technology: rethinking doctoral education policies.","authors":"Bo Gao","doi":"10.1093/postmj/qgaf030","DOIUrl":"https://doi.org/10.1093/postmj/qgaf030","url":null,"abstract":"","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143458968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can you(th) afford healthcare? The case of financial microtoxicity.","authors":"Christos Tsagkaris, Islam Kourampi, Kyriaki Apergi","doi":"10.1093/postmj/qgaf029","DOIUrl":"https://doi.org/10.1093/postmj/qgaf029","url":null,"abstract":"","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143458984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive analysis of aging-related gene expression patterns and identification of potential intervention targets.","authors":"Sha Yang, Jianning Song, Min Deng, Si Cheng","doi":"10.1093/postmj/qgae131","DOIUrl":"10.1093/postmj/qgae131","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to understand the molecular mechanisms underlying the aging process and identify potential interventions to mitigate age-related decline and diseases.</p><p><strong>Methods: </strong>This study utilized the GSE168753 dataset to conduct comprehensive differential gene expression analysis and co-expression module analysis. Machine learning and Mendelian randomization analyses were employed to identify core aging-associated genes and potential drug targets. Molecular docking simulations and mediation analysis were also performed to explore potential compounds and mediators involved in the aging process.</p><p><strong>Results: </strong>The analysis identified 4164 differentially expressed genes, with 1893 upregulated and 2271 downregulated genes. Co-expression analysis revealed 21 modules, including both positively and negatively correlated modules between older age and younger age groups. Further exploration identified 509 aging-related genes with distinct biological functions. Machine learning and Mendelian randomization analyses identified eight core genes associated with aging, including DPP9, GNAZ, and RELL2. Molecular docking simulations suggested resveratrol, folic acid, and ethinyl estradiol as potential compounds capable of attenuating aging through modulation of RELL2 expression. Mediation analysis indicated that eosinophil counts and neutrophil count might act as mediators in the causal relationship between genes and aging-related indicators.</p><p><strong>Conclusion: </strong>This comprehensive study provides valuable insights into the molecular mechanisms of aging and offers important implications for the development of anti-aging therapeutics. Key Messages What is already known on this topic - Prior research outlines aging's complexity, necessitating precise molecular targets for intervention. What this study adds - This study identifies novel aging-related genes, potential drug targets, and therapeutic compounds, advancing our understanding of aging mechanisms. How this study might affect research, practice, or policy - Findings may inform targeted therapies for age-related conditions, influencing future research and clinical practices.</p>","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":"219-231"},"PeriodicalIF":3.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142366275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of intersectionality on the experience of medical trainees.","authors":"Zachary Walker, Ellen Murphy, Cody Sain, Ramael Ohiomoba, Morana Lasic, Andrea Lanes, Elizabeth Ginsburg","doi":"10.1093/postmj/qgae130","DOIUrl":"10.1093/postmj/qgae130","url":null,"abstract":"<p><p>Diverse trainees have different training experiences than non-diverse trainees; however, it has not been demonstrated if the number of diverse traits (DTs) (i.e. intersectionality) contributes to worse experiences. Our objective was to understand if the number of DTs a trainee has impacts their training experience. We distributed a survey to medical trainees at Mass General Brigham from 15/12/23 to 15/4/24. DTs were based on race/ethnicity, gender-identity, sexual orientation, birthplace, disability, and highest parental education. A total of 134 responses were obtained. Respondents with 1 DT were more likely to report dissatisfaction with the quality of their training compared to those with 0 DT (P = 0.03). However, this did not remain true for those with 2 or 3+ DT (P = 0.39, P = 0.59). Only respondents with 1 DT disagreed that they had similar opportunities for academic success to those of their peers (P = 0.03) and agreed that they had to work harder than others to be valued equally (P < 0.01). Respondents with 3+ DTs felt that their institution was not diverse (P < 0.01) and racist (P < 0.01) compared to respondents with zero DTs. Therefore, trainees with DTs had different training experiences than trainees with zero DTs, but the number of DTs did not consistently correlate with the quality of their experience. We believe this data is important for administrators to understand how intersectionality effects the trainee experience. Additionally, we believe this data can be used to gauge disparities in education and create an avenue to address issues, such as discrimination, microaggressions, and low retention rate of diverse applicants.</p>","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":"256-262"},"PeriodicalIF":3.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142366276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unravelling the neuroimmune nexus: insights into epilepsy pathology and the role of S100b protein in brain-gut axis modulation: a literature review.","authors":"Jianxun He, Qianling Meng, Chuhan Miao, Jing Hao, Mengliang Dai","doi":"10.1093/postmj/qgae125","DOIUrl":"10.1093/postmj/qgae125","url":null,"abstract":"<p><p>Epilepsy, a chronic neurological condition marked by recurrent, unprovoked seizures, involves complex pathophysiological mechanisms. Recent advancements have expanded our understanding from traditional neuronal dysfunction to include neuroimmune interactions and the influence of the brain-gut-bio-axis. This review explores the role of the S100b protein within these contexts, noted for its involvement in neuroinflammatory processes and as a potential biomarker. Furthermore, it discusses the emerging significance of the gut microbiome in modulating neuroimmune responses and seizure activity. The review integrates findings from recent studies, emphasizing the critical role of the S100b signalling pathway and the gut-brain axis in epilepsy pathology. The interplay between neuroimmune mechanisms and gut microbiota offers novel insights and potential therapeutic targets, underlining the need for further research to exploit these connections for clinical benefit.</p>","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":"181-188"},"PeriodicalIF":3.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142472941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using ChatGPT to generate multiple-choice questions in medical education may have potential adverse effects on medical educators and medical students.","authors":"Hongnan Ye","doi":"10.1093/postmj/qgae090","DOIUrl":"10.1093/postmj/qgae090","url":null,"abstract":"","PeriodicalId":20374,"journal":{"name":"Postgraduate Medical Journal","volume":" ","pages":"270-271"},"PeriodicalIF":3.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141627426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}