Comprehensive assessment of risk factors and development of novel predictive tools for perioperative hidden blood loss in intertrochanteric femoral fractures: a multivariate retrospective analysis.

Objectives: To identify independent risk factors for perioperative hidden blood loss (HBL) in intertrochanteric femoral fractures (ITFs) and to develop a predictive model.

Methods: We enrolled 231 patients with ITFs who underwent proximal femoral nail antirotation (PFNA) surgery at the Orthopedics Department of Northern Jiangsu People's Hospital, Jiangsu Province, China, from January 2021 to December 2023. Hidden blood loss was calculated using the OSTEO formula, and independent risk factors were screened using the Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression.

Evaluation of the information quality related to osteoporosis on TikTok.

Background: Osteoporosis is currently considered the most common bone disease in the world and is characterized by low bone mass, deterioration of the bone tissue microstructure, and decreased bone strength. With the increasing popularity of smartphones and short videos, many patients search for various types of health information through social media, such as short videos. As one of China's short video giants, TikTok has played a significant role in spreading health information.

Comparative analysis of bone turnover markers in bone marrow and peripheral blood: implications for osteoporosis.

Introduction: This study examines bone turnover marker (BTM) variations between bone marrow and peripheral blood in osteoporotic and non-osteoporotic patients. BTMs offer insights into bone remodeling, crucial for understanding osteoporosis.

Methods: A total of 133 patients were categorized into osteoporotic and non-osteoporotic cohorts.

Robotic-assisted systems for the safe and reliable treatment of femoral neck fractures: retrospective cohort study.

Background: Robots are being used in a wide range of surgical procedures. However, in clinical practice, the efficacy of orthopedic robotic-assisted treatment of femoral neck fractures is still poorly reported, particularly in terms of screw placement accuracy, femoral neck fracture healing rates and postoperative functional recovery. Moreover, there is a lack of comparative analysis between robot-assisted surgery and traditional surgical approaches.