postoperative-length-stay-after-minimally-invasive-transforaminal

Postoperative Length of Stay After Minimally Invasive Transforaminal Lumbar Interbody Fusion: Analysis of Perioperative Predictors

Length of stay is a key quality and cost metric after minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF). Published benchmarks vary ...

People's Hospital of Chongqing Hechuan

The First Affiliated Hospital of Chongqing Medical University Hechuan District Hospital

MicroRNAs (miRNAs) are related to the regulation of bone metabolism. Delayed fracture healing (DFH) is a common complication after fracture surgery. The study attempted to examine the role of miR-98-5p and bone morphogenetic protein (BMP)-2 with the onset of DFH. A total of 140 patients with femoral neck fracture were recruited, including 80 cases with normal fracture healing (NFH) and 60 cases with DFH. MC3T3-E1 cells were induced cell differentiation for cell function experiments. Real-time quantitative polymerase chain reaction (RT-qPCR) was carried out to test mRNA levels. Cell proliferation and apoptosis were determined via CCK-8 and flow cytometry assay. Luciferase reporter assay was done to verify the targeted regulatory relationship of miR-98-5p with BMP-2. In comparison with NFH cases, DFH patients owned high levels of serum miR-98-5p and low concentration of BMP-2, and the levels of the two indexes are significantly negatively correlated. Both miR-98-5p and BMP-2 had the ability to predict DFH, while their combined diagnostic value is the highest. BMP-2 was demonstrated to be the target gene of miR-98-5p. Overexpression of BMP-2 reversed the role of miR-98-5p in MC3T3-E1 cell proliferation, apoptosis and differentiation. Increased miR-98-5p and decreased BMP-2 serve as potential biomarkers for the diagnosis of DFH. MiR-98-5p overexpression inhibits osteoblast proliferation and differentiation via targeting BMP-2.

MicroRNA 98-5p Overexpression Contributes to Delayed Fracture Healing via Targeting BMP-2.

Artificial intelligence (AI) has significantly advanced the field of joint arthroplasty by transforming key aspects such as surgical planning, implant design, and postoperative management. Despite their growing importance, research trends and priorities in AI applications for joint arthroplasty remain underexplored. This study employed bibliometric analysis to elucidate the main research focus areas and global trends in AI and arthroplasty from 2001 to 2025.

Artificial intelligence in joint arthroplasty: A bibliometric analysis of global research trends (2001-2025).

Extended length of stay (eLOS) after hip fracture surgery in elderly patients poses significant clinical and economic challenges. While traditional statistical models identify key predictors, they may miss complex variable interactions. This study compared logistic regression with machine learning (ML) algorithms to predict eLOS, emphasizing actionable factors within Enhanced Recovery After Surgery (ERAS) protocols.

Article	Year
MicroRNA 98-5p Overexpression Contributes to Delayed Fracture Healing via Targeting BMP-2. The Tohoku journal of experimental medicine\| PubMed ID: 38267060	2024
Artificial intelligence in joint arthroplasty: A bibliometric analysis of global research trends (2001-2025). Medicine\| PubMed ID: 40898573	2025
Machine learning for predicting extended length of stay in elderly patients with hip fractures: An enhanced recovery after surgery perspective. Digital health\| PubMed ID: 41393839	2025

Haibo Pu

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