QJM: An International Journal of Medicine最新文献_第5页

Tennis Ball Sign. 网球标志。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-18 DOI: 10.1093/qjmed/hcaf192

Sheng-Fu Chen, Pei-Ti Yao, Te-Chun Shen

引用次数: 0

UK Study Reveals Resident Doctors Spend Four Hours of Administrative Work for Each Hour of Seeing Patients. 英国一项研究显示，住院医生每看病人一小时，就要花四小时的行政工作。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-18 DOI: 10.1093/qjmed/hcaf193

Priscilla Detweiler, Patrick Wu, Perry Vacchio, Su Boon Yong

引用次数: 0

A Classic Pattern of Type 1 Brugada Syndrome on Electrocardiogram. 1型Brugada综合征的心电图典型型。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-18 DOI: 10.1093/qjmed/hcaf194

Samuel Chin Wei Tan, Zhao-Wei Yin, Yun-Tao Zhao

引用次数: 0

Donut-in-Donut: Cardiac Abnormalities due to Mycobacterium Tuberculosis. 甜甜圈：由结核分枝杆菌引起的心脏异常。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-12 DOI: 10.1093/qjmed/hcaf189

Wenyu Huang, Qiao Deng, Kaiyue Diao

引用次数: 0

Wolff-Parkinson-White Pattern in hypertrophic cardiomyopathy: The Hidden Truth Behind Preexcitation. 肥厚性心肌病的Wolff-Parkinson-White模式：预兴奋背后隐藏的真相。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-08 DOI: 10.1093/qjmed/hcaf185

Yao-Qing Luo, Zhu-Qing Wen, Shuang-Yu Chen

引用次数: 0

Predicting Shock Syndrome in Kawasaki Disease: A Machine Learning Model for Enhanced Diagnosis. 预测川崎病休克综合征：一种增强诊断的机器学习模型。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-08 DOI: 10.1093/qjmed/hcaf180

Yifeng Xu, Yuting Pan, Yifan Xie, Lingzhi Qiu, Zhidan Fan, Haiguo Yu

{"title":"Predicting Shock Syndrome in Kawasaki Disease: A Machine Learning Model for Enhanced Diagnosis.","authors":"Yifeng Xu, Yuting Pan, Yifan Xie, Lingzhi Qiu, Zhidan Fan, Haiguo Yu","doi":"10.1093/qjmed/hcaf180","DOIUrl":"https://doi.org/10.1093/qjmed/hcaf180","url":null,"abstract":"Background: Kawasaki disease shock syndrome (KDSS), a severe and uncommon phenomenon, lacks effective predictive models for early identification.Aim: This study aimed to establish a new predictive model for KDSS using machine learning.Design: Single-center, retrospective analysis.Methods: Data of 746 children with KD admitted between July 2021 and June 2023 were collected including demographics, laboratory test results before intravenous immunoglobulin, and echocardiography results. Data were divided into training and testing sets in a 7:3 ratio. After feature engineering, predictive models were built using random forest (RF), logistic regression (LR), and Light Gradient Boosting Machine (LightGBM). Model performance was evaluated using area under the receiver operating characteristic curve (AUC), confusion matrix, average accuracy from five-fold cross-validation, while also analyzing misclassified cases. A simple early prediction tool was created based on the optimal model. Prospective data from five KDSS patients admitted between January and June 2024 and that of 15 randomly selected non-shock KD patients were used for external validation.Results: CD3+ lymphocyte percentage(CD3+%) had the greatest impact on the model and was an important predictive factor for KDSS, followed by neutrophil-to-lymphocyte(NLR) ratio and Interleukin-6(IL-6). The LightGBM model performed best (AUC, 0.9388; average accuracy, 0.9675; 95% CI, 0.9612, 0.9737). Nine patients were misclassified (4.02%). RF and LR models showed slightly lower performance than the LightGBM model (prospective validation AUC, 0.9000; accuracy, 0.8500).Conclusion: We constructed an early prediction model for KDSS and performed preliminary validation. This web-based prediction tool may assist clinicians in identifying high-risk pediatric patients to enhance monitoring/treatment.","PeriodicalId":20806,"journal":{"name":"QJM: An International Journal of Medicine","volume":" ","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144837415","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}

引用次数: 0

Response to Letter to the Editor: "Rethinking Biological Aging in Stroke: Nonlinear Thresholds, Patient Vulnerabilities, and Model Constraints". 回复给编辑的信：“重新思考中风的生物衰老：非线性阈值，患者脆弱性和模型约束”。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-08 DOI: 10.1093/qjmed/hcaf184

Hanbing Zhao, Yiwei Qian, Yifang Zhou, Ding Zhang, Zhaoyang Zhao, Wan Zhang, Chenjia Shan, Yamin Wang, Zixin Chen, Jiaxin Wang, Lulu Pei, Qiang Zhang, Qianyu Zhou, Yuming Xu, Mingming Ning, Ferdinando S Buonanno, Changqing Sun, Bo Song

引用次数: 0

Rethinking Biological Aging in Stroke: Nonlinear Thresholds, Patient Vulnerabilities, and Model Constraints. 重新思考脑卒中中的生物老化：非线性阈值、患者脆弱性和模型约束。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-08 DOI: 10.1093/qjmed/hcaf183

Shiuan-Chih Chen, Chung-Hsin Yeh

引用次数: 0

Extensive Eczema Herpeticum in Atopic Dermatitis: A Clinical Emergency. 特应性皮炎的广泛疱疹性湿疹：临床急诊。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-07 DOI: 10.1093/qjmed/hcaf182

Ariharasudhan Varadharajan, Vanila Muthukanna, Vijayasankar Palaniappan, Kaliaperumal Karthikeyan

引用次数: 0

The Association of HPV Vaccination and Risk of Immune-Mediated Diseases. HPV疫苗接种与免疫介导疾病风险的关系。

IF 6.4 4区医学

QJM: An International Journal of Medicine Pub Date : 2025-08-07 DOI: 10.1093/qjmed/hcaf154

Qianru Zhang, Renin Chang, James Cheng-Chung Wei, Shiow-Ing Wang, Yao-Min Hung

{"title":"The Association of HPV Vaccination and Risk of Immune-Mediated Diseases.","authors":"Qianru Zhang, Renin Chang, James Cheng-Chung Wei, Shiow-Ing Wang, Yao-Min Hung","doi":"10.1093/qjmed/hcaf154","DOIUrl":"https://doi.org/10.1093/qjmed/hcaf154","url":null,"abstract":"Background: Whether prior human papillomavirus vaccination (HPVV) can influence later development of immune-mediated diseases remain controversial. We aim to examine HPVV 's association with various immune-mediated diseases among females aged 9-45 years, considering age, vaccine types, and racial disparities.Methods: Based on data from the US Collaborative Network in TriNetX spanning from January 1, 2018, to December 20, 2022, we enrolled 208,638 females aged 9-45 years who had received HPVV and matched them with 208,638 individuals who had never received HPVV, using propensity scores. The primary outcome was the incidence of immune-mediated diseases. We conducted Cox proportional hazard regression analyses to estimate hazard ratios (HR) and 95% confidence intervals (CI). Subgroup analyses were conducted, stratified by age, race, smoking, obesity, asthma, and different types of HPV vaccines. Additionally, we executed sensitivity analyses to evaluate the robustness of our findings.Result: HPVV was associated with reduced risks of rheumatoid arthritis (HR: 0.487, 95% CI: 0.311 to 0.762), systemic lupus erythematosus (HR: 0.287, 95% CI: 0.179 to 0.460), dermatomyositis (HR: 0.299, 95% CI: 0.098 to 0.908), inflammatory bowel disease (HR: 0.876, 95% CI: 0.811 to 0.946), celiac disease (HR: 0.400, 95% CI: 0.304 to 0.526), and type 1 diabetes mellitus (HR: 0.242, 95% CI: 0.184 to 0.318). Subgroup analyses indicated a significant reduction in the incidence of immune-mediated diseases among females aged 9-26 years and those who had received the 9-valent HPV vaccines, compared to unvaccinated populations.Conclusion: This study indicates HPVV is associated with reduced risks of various immune-mediated diseases.","PeriodicalId":20806,"journal":{"name":"QJM: An International Journal of Medicine","volume":" ","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144837419","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}

引用次数: 0