Development and Prospective Validation of a Novel Risk Score for Predicting the Risk of Poor Surgical Site Healing in Patients Following Surgical Procedure for Spinal Tuberculosis: A Multi-Center Cohort Study.

The risk of poor surgical site healing in patients with spinal tuberculosis due to infection is known to be higher than in other surgical patients. Early identification and diagnosis are critical if we are to reduce the disability and mortality associated with spinal tuberculosis. We aimed to develop and validate a novel predictive score for predicting the risk of poor surgical site healing in patients following surgical procedure for spinal tuberculosis.

Outcomes of patients with infective endocarditis-associated acute kidney injury: a retrospective cohort study.

Background: The outcomes of patients with infective endocarditis (IE)-associated acute kidney injury (AKI) are poorly understood.

Methods: This retrospective cohort study was conducted in a tertiary hospital in China to analyze the short- and long-term outcomes among patients with IE-associated AKI. The risk factors for 90-day mortality, long-term outcomes and kidney non-recovery were analyzed via multivariable logistic regression, the Cox regression, and the Fine-Gray competing risk model, respectively.

ExerGeneDB: A physical exercise-regulated differential gene expression database.

Background: Exercise induces molecular changes that involve multiple organs and tissues. Moreover, these changes are modulated by various exercise parameters-such as intensity, frequency, mode, and duration-as well as by clinical features like gender, age, and body mass index (BMI), each eliciting distinct biological effects. To assist exercise researchers in understanding these changes from a comprehensive perspective that includes multiple organs, diverse exercise regimens, and a range of clinical features, we developed Exercise Regulated Genes Database (ExerGeneDB), a database of exercise-regulated differential genes.

Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.

Objective: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aims to develop and validate an AI-driven radiomics prediction model for such nodules to enhance diagnostic accuracy.

Methods: Data of 2,591 pulmonary nodules from five medical centers (Zhengzhou People's Hospital, etc.

OTUB1 mediates PARP1 deubiquitination to alleviate NAFLD by regulating HMGB1.

Nonalcoholic fatty liver disease (NAFLD) is a common chronic disease characterized by hepatocyte steatosis, which excludes alcohol, drugs and other definite liver damage-related factors. It has been reported that OTUB1 serves a significant role in the regulation of glucose and lipid metabolism. The present study aimed to investigate the molecular mechanism underlying the effect of OTUB1 on regulating NAFLD.