Results 91 to 100 of about 255,990 (314)

Risk prediction of second hip fracture by bone and muscle density of the hip varies with time after first hip fracture: A prospective cohort study

Bone Reports
Purpose: Predictors of ‘imminent’ risk of second hip fracture are unknown. The aims of the study were to explore strength of hip areal bone mineral density (aBMD), and muscle area and density for predicting second hip fracture at different time intervals.
Ling Wang, Minghui Yang, Yufeng Ge, Yandong Liu, Gang Wang, Yongbin Su, Zhe Guo, Lu Yin, Pengju Huang, Jian Geng, Glen M. Blake, Bo He, Shiwen Zhu, Xiaoguang Cheng, Xinbao Wu, Hannu T. Aro, Annegreet Vlug, Klaus Engelke   +17 more
doaj   +1 more source

Socioeconomic and living conditions are determinants of hip fracture incidence and age occurrence among community-dwelling elderly [PDF]

, 2018
Summary: In this prospective, 10-year study in community-dwelling elderly aged 50years and over, hip fracture incidence and accordingly age at hip fracture were inversely associated with the area-level income, independently of the geographical area.
Chevalley, T., Guilley, E., Herrmann, F., Hoffmeyer, P., Rapin, C.-H, Rizzoli, R.   +5 more
core  

Influence of Upper Extremity Assistance on Lower Extremity Force Application Symmetry in Individuals Post–Hip Fracture During the Sit-to-Stand Task

, 2012
STUDY DESIGN: Controlled laboratory study using a cross-sectional design. OBJECTIVES: To compare lower extremity force applications during a sit-to-stand (STS) task with and without upper extremity assistance in older individuals post–hip fracture to ...
Bukata, Susan A., Houck, Jeff R., Kneiss, Janet A., Puzas, J. Edward   +3 more
core   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Existing hip joint disease is associated with an increased incidence of hip fracture in adults: A retrospective survey of 9710 individuals from a single center

Heliyon
Objective: In hip disease patients, pain and movement restrictions might cause changes in bone strength and increase the likelihood of falls, finally leading to hip fracture.
Bo Liu, Xiao Chen, Mengnan Li, Xiaoxuan Zhang, Binquan Zhang, Huijie Li   +5 more
doaj   +1 more source

The association between hip fracture and hip osteoarthritis: A case-control study

BMC Musculoskeletal Disorders, 2010
Background There have been reports both supporting and refuting an inverse relationship between hip fracture and hip osteoarthritis (OA). We explore this relationship using a case-control study design.
Englund Martin, Franklin Jonas, Ingvarsson Torvaldur, Lohmander Stefan   +3 more
doaj   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Analysis of the clinical characteristics and risk factors associated with contralateral hip fracture after initial hip fracture in elderly patients: a retrospective cohort study

Scientific Reports
Fractures of the contralateral hip may easily occur in elderly patients after an initial hip fracture. The aim of this study was to investigate the clinical characteristics and major predisposing risk factors of contralateral hip fracture after initial ...
Liping Zhao, Shoujin Tian, Weiping Sha, Liming Wang, Youjia Xu   +4 more
doaj   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

The Efficacy of Intravenous Analgesia and Various Nerve Blocks for Pain Management in Elderly Patients With Hip Fractures: A Meta‐Analysis

Orthopaedic Surgery
Pain management in elderly patients with hip fractures has received more and more attention, which is crucial for promoting recovery and reducing complications. At present, there are various and controversial analgesic methods for this population.
Yuping Liu, Li Zhou, Xin Wang
doaj   +1 more source