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Background: Clinical determination of patients at high risk of poor surgical outcomes is complex and may be supported by clinical tools to summarize the patient's own personalized electronic health record (EHR) history and vitals data through predictive risk models. Since prior models were not readily available for EHR-integration, our objective was to develop and validate a risk stratification tool, named the Assessment of Geriatric Emergency Surgery (AGES) score, predicting risk of 30-day major postoperative complications in geriatric patients under consideration for urgent and emergency surgery using pre-surgical existing electronic health record (EHR) data.

Methods: Patients 65-years and older undergoing urgent or emergency non-cardiac surgery within 21 hospitals 2017-2021 were used to develop the model (randomly split: 80% training, 20% test).

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Objective: Insulin resistance (IR) is often present in diabetes, which imposes a heavy burden on the prevention and treatment of diabetes. Triglyceride glucose index (TyG) is simple, reliable and reproducible in detecting IR, and has great advantages in predicting the risk of diabetes. The aim of this study was to analyze the potential association between TyG and the risk of diabetes in Chinese middle-aged and older adults using a prospective cohort study design.

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To explore the safety and clinical efficacy of radiofrequency ablation (RFA) for papillary thyroid microcarcinoma (PTMC) located in the isthmus. This prospective study enrolled patients with single isthmus PTMC admitted to General Surgery Department of 983rd Hospital of Joint Logistic Support Force of PLA from 2017 to 2022. After ablation, the ultrasound and contrast-enhanced ultrasound (CEUS) were performed to follow up the outcomes at 1, 3, 6, 12, 18, and 24 months.

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Standard operating procedure combined with comprehensive quality control system for multiple LC-MS platforms urinary proteomics.

Nat Commun

January 2025

School of Biological Science and Medical Engineering & School of Engineering Medicine, Beihang University, Beijing, China.

Urinary proteomics is emerging as a potent tool for detecting sensitive and non-invasive biomarkers. At present, the comparability of urinary proteomics data across diverse liquid chromatography-mass spectrometry (LC-MS) platforms remains an area that requires investigation. In this study, we conduct a comprehensive evaluation of urinary proteome across multiple LC-MS platforms.

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Although cardiovascular anesthesiologists play a role in the multidisciplinary heart team, they are generally not involved prior to the diagnosis of coronary artery disease. This work was designed to broadly cover the factors influencing decision-making when proceeding with coronary angiography in a patient with suspected coronary artery disease. The authors cover the principles, rationale, benefits, and downsides of common tests involved.

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