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Development and validation of a nomogram to predict survival in septic patients with heart failure in the intensive care unit.
Sci Rep
January 2025
China Academy of Chinese Medical Sciences, Beijing, China.
Heart failure is a common complication in patients with sepsis, and individuals who experience both sepsis and heart failure are at a heightened risk for adverse outcomes. This study aims to develop an effective nomogram model to predict the 7-day, 15-day, and 30-day survival probabilities of septic patients with heart failure in the intensive care unit (ICU). This study extracted the pertinent clinical data of septic patients with heart failure from the Critical Medical Information Mart for Intensive Care (MIMIC-IV) database.
View Article and Find Full Text PDFConstruction and validation of a nomogram predictive model for assessing the risk of surgical site infections following posterior lumbar fusion surgery.
Sci Rep
January 2025
Department of Spinal Surgery, Orthopedic Medical Center, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue Central, Guangzhou, 510260, Guangdong Province, China.
Surgical site infections (SSIs) are a significant concern following posterior lumbar fusion surgery, leading to increased morbidity and healthcare costs. Accurate prediction of SSI risk is crucial for implementing preventive measures and improving patient outcomes. This study aimed to construct and validate a nomogram predictive model for assessing the risk of SSIs following posterior lumbar fusion surgery.
View Article and Find Full Text PDFMachine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients.
Sci Rep
January 2025
Department of Obstetrics and Gynecology, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China.
Objective Endometrial lesions are a frequent complication following breast cancer, and current diagnostic tools have limitations. This study aims to develop a machine learning-based nomogram model for predicting the early detection of endometrial lesions in patients. The model is designed to assess risk and facilitate individualized treatment strategies for premenopausal breast cancer patients.
View Article and Find Full Text PDFCardiac arrhythmia assessment with patch electrocardiogram versus insertable cardiac monitor: a cohort study in endurance athletes with atrial fibrillation.
BMJ Open
January 2025
Department of Medical Research Bærum Hospital, Vestre Viken Hospital Trust, Gjettum, Norway
Objectives: The objective of this study was to assess the quality of ECG recordings and the concordance between the automatic detection of cardiac arrhythmia episodes by a patch ECG and an insertable cardiac monitor.
Design: Prospective cohort study.
Setting And Participants: Endurance athletes diagnosed with paroxysmal atrial fibrillation (AF) and no other relevant comorbidities participating in a randomised controlled trial on the effects of training adaption.
Piloting an external quality assurance program (QAP) for COVID-19 antigen rapid diagnostic tests (Ag-RDTs): findings and lessons learned from Cambodia.
BMJ Open Qual
January 2025
Rectorate, University of Health Sciences, Phnom Penh, Cambodia.
Rapid antigen diagnostic tests (Ag-RDTs) that quickly and accurately identify SARS-CoV-2 are an essential part of the COVID-19 response, but multiple factors can affect the validity of Ag-RDTs results. In Cambodia, several commercial Ag-RDTs have become available since the COVID-19 outbreak, but quality control (QC) and external quality assurance (EQA) of these rapid tests have yet to be fully and systematically implemented. We collaborated with laboratory experts in Australia and piloted an EQA programme of the commonly used COVID-19 Ag-RDTs at the University of Health Sciences' MERIEUX Laboratory (Tier 1 site-responsible for the in-country receipt and distribution of QA material) and four other participating laboratories (Tier 2-healthcare facility based) between November 2021 and November 2022.
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