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Zhang J, Xia L, Zhang X, Liu J, Tang J, Xia J, Liu Y, Zhang W, Liang Z, Tang G, Zhang L. Development and validation of a predictive model for vertebral fracture risk in osteoporosis patients. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2024; 33:3242-3260. [PMID: 38955868 DOI: 10.1007/s00586-024-08235-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/22/2024] [Accepted: 03/17/2024] [Indexed: 07/04/2024]
Abstract
OBJECTIVE This study aimed to develop and validate a predictive model for osteoporotic vertebral fractures (OVFs) risk by integrating demographic, bone mineral density (BMD), CT imaging, and deep learning radiomics features from CT images. METHODS A total of 169 osteoporosis-diagnosed patients from three hospitals were randomly split into OVFs (n = 77) and Non-OVFs (n = 92) groups for training (n = 135) and test (n = 34). Demographic data, BMD, and CT imaging details were collected. Deep transfer learning (DTL) using ResNet-50 and radiomics features were fused, with the best model chosen via logistic regression. Cox proportional hazards models identified clinical factors. Three models were constructed: clinical, radiomics-DTL, and fusion (clinical-radiomics-DTL). Performance was assessed using AUC, C-index, Kaplan-Meier, and calibration curves. The best model was depicted as a nomogram, and clinical utility was evaluated using decision curve analysis (DCA). RESULTS BMD, CT values of paravertebral muscles (PVM), and paravertebral muscles' cross-sectional area (CSA) significantly differed between OVFs and Non-OVFs groups (P < 0.05). No significant differences were found between training and test cohort. Multivariate Cox models identified BMD, CT values of PVM, and CSAPS reduction as independent OVFs risk factors (P < 0.05). The fusion model exhibited the highest predictive performance (C-index: 0.839 in training, 0.795 in test). DCA confirmed the nomogram's utility in OVFs risk prediction. CONCLUSION This study presents a robust predictive model for OVFs risk, integrating BMD, CT data, and radiomics-DTL features, offering high sensitivity and specificity. The model's visualizations can inform OVFs prevention and treatment strategies.
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Affiliation(s)
- Jun Zhang
- Department of Radiology, Shanghai Tenth People's Hospital, Clinical Medical College of Nanjing Medical University, 301 Middle Yanchang Road, Shanghai, 200072, People's Republic of China
- Department of Radiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211002, Jiangsu, People's Republic of China
| | - Liang Xia
- Department of Radiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211002, Jiangsu, People's Republic of China.
| | - Xueli Zhang
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, People's Republic of China
| | - Jiayi Liu
- Department of Radiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211002, Jiangsu, People's Republic of China
| | - Jun Tang
- Department of Radiology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, Jiangsu, People's Republic of China
| | - Jianguo Xia
- Department of Radiology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, 366 Taihu Road, Taizhou, 225300, Jiangsu, People's Republic of China.
| | - Yongkang Liu
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, 155 Hanzhong Road, Nanjing, 210004, Jiangsu, People's Republic of China
| | - Weixiao Zhang
- Department of Radiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211002, Jiangsu, People's Republic of China
| | - Zhipeng Liang
- Department of Radiology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Nanjing, 211002, Jiangsu, People's Republic of China
| | - Guangyu Tang
- Department of Radiology, Shanghai Tenth People's Hospital, Clinical Medical College of Nanjing Medical University, 301 Middle Yanchang Road, Shanghai, 200072, People's Republic of China.
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, People's Republic of China.
| | - Lin Zhang
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, People's Republic of China.
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Muhamad Jamil NK, Naina Mohamed I, Mokhtar SA, Leong JF, Kamudin NAF, Muhammad N. Barriers to osteoporosis management and adherence to Clinical Practice Guideline: a comparative study between tertiary East Coast hospitals and a Fracture Liaison Services (FLS)-accredited hospital in Malaysia. Arch Osteoporos 2024; 19:49. [PMID: 38864939 DOI: 10.1007/s11657-024-01407-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 05/16/2024] [Indexed: 06/13/2024]
Abstract
This study compares osteoporosis management between tertiary East Coast hospitals and a FLS-accredited hospital in Malaysia. It identifies significant barriers and highlights the superior performance of FLS in areas like timely treatment initiation and treatment monitoring. The insights are crucial for improving osteoporosis management strategies. INTRODUCTION Osteoporosis management poses a substantial healthcare challenge, necessitating effective strategies and Clinical Practice Guidelines (CPG) adherence. METHODS The study employed a self-administered online questionnaire via Google Forms. Orthopedic clinicians from all study sites were invited to participate via messaging platforms. A total of 135 participants completed the questionnaire and the data was proceeded to statistical analyses. RESULTS The study identified significant barriers, including inadequate knowledge of current osteoporosis guidelines and medications (p = 0.014), limited choice of anti-osteoporosis medication (p < 0.001), insufficient post-fracture care staff (p < 0.001), patients' financial constraints due to socioeconomic status (p = 0.027), and lack of doctor-patient time (p = 0.042). FLS demonstrated superior performance in CPG adherence in areas such as clinical diagnosis of osteoporosis without BMD assessment (p = 0.046), timely treatment initiation (p < 0.001), treatment monitoring using BMD (p = 0.004), reassessment treatment after 3-5 years of bisphosphonate therapy (p = 0.034) and considering anabolic agents in very high-risk patients (p = 0.018). CONCLUSION The findings highlight an essential opportunity for improvement and emphasize the necessity for robust strategies and strict adherence to Clinical Practice Guidelines (CPG), especially within tertiary East Coast hospitals. The exemplary efficacy demonstrated by the FLS model strongly advocates for its broader integration across multiple hospitals, promising substantial advancements in osteoporotic patient care outcomes throughout Malaysia.
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Affiliation(s)
- Nur Khadijah Muhamad Jamil
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yacob Latif, Bandar Tun Razak, 56000, Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia
- Pharmacology Department, Faculty of Medicine, Universiti Sultan Zainal Abidin, Jalan Sultan Mahmud, 20400, Kuala Terengganu, Terengganu, Malaysia
| | - Isa Naina Mohamed
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yacob Latif, Bandar Tun Razak, 56000, Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia
| | - Sabarul Afian Mokhtar
- Department of Trauma and Orthopedics, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yacob Latif, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia
| | - Juzaily Fekry Leong
- Department of Trauma and Orthopedics, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yacob Latif, Bandar Tun Razak, 56000, Cheras, Kuala Lumpur, Malaysia
| | - Nur Azree Ferdaus Kamudin
- Department of Orthopedics, Faculty of Medicine, Universiti Sultan Zainal Abidin, Jalan Sultan Mahmud, 20400, Kuala Terengganu, Terengganu, Malaysia
| | - Norliza Muhammad
- Department of Pharmacology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yacob Latif, Bandar Tun Razak, 56000, Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia.
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Song M, Wang Y, Jiang Y, Pi H, Lyu H, Gao Y. Risk factors for subsequent fractures in hip fracture patients: a nested case-control study. J Orthop Surg Res 2024; 19:348. [PMID: 38867268 PMCID: PMC11167847 DOI: 10.1186/s13018-024-04833-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 06/02/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND The risk factors for subsequent fractures following an initial hip fracture are not entirely understood. This study examined the clinical characteristics of hip fracture patients to identify potential risk factors associated with a higher risk of experiencing subsequent fractures. METHODS We conducted a nested case-control study using data from the Chinese PLA General Hospital Hip Fracture Cohort between January 2008 and March 2022. The cases were individuals who experienced subsequent fractures following an initial hip fracture. Each case was matched with up to 2 controls who did not develop subsequent fractures. Important clinical factors were compared across groups, including traditional fracture risk factors and potential risk factors (e.g., comorbidities, falls risk, physical impairment, calcium or vitamin D use, and anti-osteoporosis medications). Conditional logistic regression analyses were used to evaluate the impact of these clinical features as potential risk factors for subsequent fractures. RESULTS A total of 96 individuals who suffered from subsequent fractures were matched with 176 controls. The median time between the initial hip fracture and the subsequent fracture was 2.1 years. The overall proportion of patients receiving anti-osteoporosis treatment after initial hip fracture was 25.7%. In the multivariable regression analysis, living in a care facility (OR = 3.78, 95%CI: 1.53-9.34), longer hospital stays (OR = 1.05, 95%CI: 1.00-1.11), and falls after discharge (OR = 7.58, 95%CI: 3.37-17.04) were associated with higher odds of subsequent fractures. CONCLUSIONS This study showed that living in a care facility, longer hospital stays, and falls after discharge may be independent risk factors for repeat fractures following an initial hip fracture. These findings could be used to identify and manage patients at high risk of subsequent fractures.
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Affiliation(s)
- Mi Song
- Medical School of Chinese PLA, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China
- Department of Orthopedics, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China
- Department of nursing, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China
| | - Yilin Wang
- Medical School of Chinese PLA, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China
- Department of Orthopedics, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China
| | - Yu Jiang
- Medical School of Chinese PLA, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China
- Department of Orthopedics, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China
| | - Hongying Pi
- Military Health Service Training Center, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China.
| | - Houchen Lyu
- Department of Orthopedics, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China.
- National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China.
| | - Yuan Gao
- Department of nursing, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, 100853, People's Republic of China.
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Hakami IA. An Outline on the Advancements in Surgical Management of Osteoporosis-Associated Fractures. Cureus 2024; 16:e63226. [PMID: 39070522 PMCID: PMC11280975 DOI: 10.7759/cureus.63226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2024] [Indexed: 07/30/2024] Open
Abstract
Osteoporosis significantly impairs bone density and increases fracture risk, representing a substantial global health challenge. The effectiveness of traditional treatments such as calcium supplementation and exercise in completely preventing fractures is limited. This review explores recent advancements in surgical techniques and treatment modalities to manage osteoporotic fractures better and improve patient outcomes. Osteoporotic fractures demand specialized surgical techniques due to compromised bone quality. Vertebroplasty and kyphoplasty are minimally invasive procedures that provide rapid pain relief and structural support using bone cement. While vertebroplasty is effective, it carries risks of cement leakage and new fractures. Kyphoplasty, with added balloon inflation, reduces leakage risk and improves vertebral height restoration but is costlier. Cement-augmented screws enhance fixation but can increase adjacent fracture risk and pose long-term complications. Surgical advancements encompass robotic-assisted surgery, offering precision and accelerated recovery, alongside biologic agents like bone morphogenetic proteins (BMPs), which enhance bone healing while reducing secondary interventions and eliminating donor site morbidity. Bone graft substitutes such as calcium phosphate cements enhance biomechanical compatibility, decrease morbidity, and reduce fracture loss and pain. Balloon kyphoplasty aids in height restoration and pain relief and diminishes the risk of subsequent vertebral fractures. Bioglass scaffolds promote bone regeneration by improving bone mineral density and lowering the incidence of new fractures. Optimal perioperative care, including patient selection, nutritional management, and early mobilization strategies, is crucial for mitigating risks in vulnerable populations. While current surgical interventions provide significant pain relief and functional benefits, ongoing research and multidisciplinary collaboration are crucial to prospectively refine these techniques and reduce the burden of osteoporosis. New technologies, such as tissue engineering and gene editing, hold potential for future treatment paradigms.
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Affiliation(s)
- Ibrahim A Hakami
- Department of Orthopedic Surgery, College of Medicine, Shaqra University, Dawadmi, SAU
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Kim Y, Kim YG, Park JW, Kim BW, Shin Y, Kong SH, Kim JH, Lee YK, Kim SW, Shin CS. A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture. Radiology 2024; 310:e230614. [PMID: 38289213 DOI: 10.1148/radiol.230614] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Background Patients have the highest risk of subsequent fractures in the first few years after an initial fracture, yet models to predict short-term subsequent risk have not been developed. Purpose To develop and validate a deep learning prediction model for subsequent fracture risk using digitally reconstructed radiographs from hip CT in patients with recent hip fractures. Materials and Methods This retrospective study included adult patients who underwent three-dimensional hip CT due to a fracture from January 2004 to December 2020. Two-dimensional frontal, lateral, and axial digitally reconstructed radiographs were generated and assembled to construct an ensemble model. DenseNet modules were used to calculate risk probability based on extracted image features and fracture-free probability plots were output. Model performance was assessed using the C index and area under the receiver operating characteristic curve (AUC) and compared with other models using the paired t test. Results The training and validation set included 1012 patients (mean age, 74.5 years ± 13.3 [SD]; 706 female, 113 subsequent fracture) and the test set included 468 patients (mean age, 75.9 years ± 14.0; 335 female, 22 subsequent fractures). In the test set, the ensemble model had a higher C index (0.73) for predicting subsequent fractures than that of other image-based models (C index range, 0.59-0.70 for five of six models; P value range, < .001 to < .05). The ensemble model achieved AUCs of 0.74, 0.74, and 0.73 at the 2-, 3-, and 5-year follow-ups, respectively; higher than that of most other image-based models at 2 years (AUC range, 0.57-0.71 for five of six models; P value range, < .001 to < .05) and 3 years (AUC range, 0.55-0.72 for four of six models; P value range, < .001 to < .05). Moreover, the AUCs achieved by the ensemble model were higher than that of a clinical model that included known risk factors (2-, 3-, and 5-year AUCs of 0.58, 0.64, and 0.70, respectively; P < .001 for all). Conclusion In patients with recent hip fractures, the ensemble deep learning model using digital reconstructed radiographs from hip CT showed good performance for predicting subsequent fractures in the short term. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Li and Jaremko in this issue.
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Affiliation(s)
- Yisak Kim
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Young-Gon Kim
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Jung-Wee Park
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Byung Woo Kim
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Youmin Shin
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Sung Hye Kong
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Jung Hee Kim
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Young-Kyun Lee
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Sang Wan Kim
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
| | - Chan Soo Shin
- From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.)
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Hou X, Zhang N, Guo L, Wang Y, Zheng M, Chen S, Liu P, Wang M, Li J, Wu S, Tian F. Cumulative exposure to remnant cholesterol and the risk of fragility fractures: a longitudinal cohort study. Front Endocrinol (Lausanne) 2023; 14:1251344. [PMID: 38089619 PMCID: PMC10713996 DOI: 10.3389/fendo.2023.1251344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 10/30/2023] [Indexed: 12/18/2023] Open
Abstract
Objective To investigate the association between cumulative remnant cholesterol (cumRC) and the risk of new-onset fragility fractures. Methods This study included individuals who participated in the 2006, 2008, and 2010 Kailuan health examinations. Baseline characteristics were compared between groups according to cumRC quartiles. The incidence density was calculated, and the log-rank test was used to compare the cumulative incidence. Cox proportional hazards models were used to estimate the hazard ratio (HR) and 95% confidence interval (CI), and restricted cubic spline was used to examine the possibly non-linear relation between cumRC and the risk of fragility fractures. Additional analyses were performed with stratification by age (≥ or <65 years). Results A total of 43,839 individuals were included in this study. During the median follow-up period of 10.97 years, a total of 489 fragility fractures occurred. Multivariable Cox proportional hazards regression model 3 showed that the Q1 and Q4 groups versus the Q2 group were associated with a higher HR of fragility fracture (HR 1.61, 95% CI: 1.23-2.11; HR 1.38, 95% CI: 1.06-1.81), and restricted cubic spline regression analysis showed a non-linear relationship between cumRC level and the risk of fragility fractures (P Overall association < 0.001, P Non-linear association = 0.001). The association was significant in the age group <65 years but not in the age group ≥65 years. The sensitivity analyses were consistent with the main results. Conclusions Both too high and too low cumRC levels were associated with a greater risk of fragility fractures, and this association was more significant in young and middle-aged people.
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Affiliation(s)
- Xiaoli Hou
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Nan Zhang
- Orthopedics Department, Kailuan General Hospital, Tangshan, China
| | - Lu Guo
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Yongheng Wang
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Mengyi Zheng
- Cardiology Department, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Cardiology Department, Kailuan General Hospital, Tangshan, China
| | - Peipei Liu
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Mengqin Wang
- Emergency Department, Jishuitan, The Fourth Clinical Hospital of Peking University, Beijing, China
| | - Jia Li
- Jitang College, North China University of Science and Technology, Tangshan, China
| | - Shouling Wu
- Cardiology Department, Kailuan General Hospital, Tangshan, China
| | - Faming Tian
- School of Public Health, North China University of Science and Technology, Tangshan, China
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Huang T, Liu C, Cui C, Zhang N, Cheung WH, Wong RMY. Potential of Fatty Acids in Treating Sarcopenia: A Systematic Review. Nutrients 2023; 15:3613. [PMID: 37630803 PMCID: PMC10459935 DOI: 10.3390/nu15163613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/10/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
This paper presents a systematic review of studies investigating the effects of fatty acid supplementation in potentially preventing and treating sarcopenia. PubMed, Embase, and Web of Science databases were searched using the keywords 'fatty acid' and 'sarcopenia'. Results: A total of 14 clinical and 11 pre-clinical (including cell and animal studies) studies were included. Of the 14 clinical studies, 12 used omega-3 polyunsaturated fatty acids (PUFAs) as supplements, 1 study used ALA and 1 study used CLA. Seven studies combined the use of fatty acid with resistant exercises. Fatty acids were found to have a positive effect in eight studies and they had no significant outcome in six studies. The seven studies that incorporated exercise found that fatty acids had a better impact on elderlies. Four animal studies used novel fatty acids including eicosapentaenoic acid, trans-fatty acid, and olive leaf extraction as interventions. Three animal and four cell experiment studies revealed the possible mechanisms of how fatty acids affect muscles by improving regenerative capacity, reducing oxidative stress, mitochondrial and peroxisomal dysfunctions, and attenuating cell death. Conclusion: Fatty acids have proven their value in improving sarcopenia in pre-clinical experiments. However, current clinical studies show controversial results for its role on muscle, and thus the mechanisms need to be studied further. In the future, more well-designed randomized controlled trials are required to assess the effectiveness of using fatty acids in humans.
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Affiliation(s)
| | | | | | | | | | - Ronald Man Yeung Wong
- Department of Orthopaedics & Traumatology, The Chinese University of Hong Kong, Hong Kong SAR, China; (T.H.); (C.L.); (C.C.); (N.Z.); (W.H.C.)
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Landi L, Leali PT, Barbato L, Carrassi AM, Discepoli N, Muti PCM, Oteri G, Rigoni M, Romanini E, Ruggiero C, Tarantino U, Varoni E, Sforza NM, Brandi ML. Anti-resorptive therapy in the osteometabolic patient affected by periodontitis. A joint position paper of the Italian Society of Orthopaedics and Traumatology (SIOT) and the Italian Society of Periodontology and Implantology (SIdP). J Orthop Traumatol 2023; 24:36. [PMID: 37453950 DOI: 10.1186/s10195-023-00713-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 06/02/2023] [Indexed: 07/18/2023] Open
Abstract
This joint report from the Italian Society of Orthopaedics and Traumatology (SIOT) and the Italian Society of Periodontology and Implantology (SIdP) aims for a consensus around the scientific rationale and clinical strategy for the management of osteoporotic patients affected by periodontitis who are undergoing anti-resorptive (AR) therapy to manage the risk of the occurrence of a medication-related osteonecrosis of the jaws (MRONJ). Osteoporosis and periodontitis are chronic diseases with a high prevalence in aging patients, and they share some of the same pathogenetic mechanisms based upon inflammation. Available evidence shows the relationship among osteoporosis, AR agents, periodontitis and implant therapy in relation to the incidence of MRONJ. Uncontrolled periodontitis may lead to tooth loss and to the need to replace teeth with dental implants. Tooth extraction and surgical dental procedures are recognized as the main risk factors for developing MRONJ in individuals taking AR therapy for osteometabolic conditions. Although the incidence of MRONJ in osteometabolic patients taking AR therapy may be as low as 0.9%, the increasing prevalence of osteoporosis and the high prevalence of periodontitis suggest that this potential complication should not be overlooked. Good clinical practice (GCP) guidelines are proposed that aim at a more integrated approach (prescriber, dentist, periodontist and dental hygienist) in the management of periodontitis patients undergoing AR therapy for osteometabolic disorders to reduce the risk of MRONJ. Dental professional and prescribers should educate patients regarding the potential risk associated with the long-term use of AR therapy and oral health behavior.
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Affiliation(s)
- L Landi
- SIdP Panel, Via della Balduina 114, 00136, Rome, Italy.
- Private Practice Verona and Roma, Verona, Italy.
| | - P Tranquilli Leali
- SIOT Panel, Rome, Italy
- Department of Orthopedic Diseases, University of Sassari, Sassari, Italy
| | - L Barbato
- SIdP Panel, Via della Balduina 114, 00136, Rome, Italy
- Department of Experimental and Clinical Medicine, Research Unit in Periodontology and Periodontal Medicine, University of Florence, Florence, Italy
| | - A M Carrassi
- SIdP Panel, Via della Balduina 114, 00136, Rome, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - N Discepoli
- SIdP Panel, Via della Balduina 114, 00136, Rome, Italy
- Department of Medical Biotechnologies, Unit of Periodontology, University of Siena, Siena, Italy
| | - P C M Muti
- SIdP Panel, Via della Balduina 114, 00136, Rome, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Maxillo-Facial Surgery and Dental Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - G Oteri
- SIdP Panel, Via della Balduina 114, 00136, Rome, Italy
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
| | - M Rigoni
- SIOT Panel, Rome, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - E Romanini
- SIOT Panel, Rome, Italy
- RomaPro, Polo Sanitario San Feliciano, Rome, Italy
| | - C Ruggiero
- SIOT Panel, Rome, Italy
- Department of Medicine and Surgery, Gerontology and Geriatric Section, University of Perugia, Perugia, Italy
| | - U Tarantino
- SIOT Panel, Rome, Italy
- Department of Clinical Sciences and Translational Medicine, "Tor Vergata" University of Rome, Rome, Italy
| | - E Varoni
- SIdP Panel, Via della Balduina 114, 00136, Rome, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - N M Sforza
- SIdP Panel, Via della Balduina 114, 00136, Rome, Italy
- Private Practice Bologna, Bologna, Italy
| | - M L Brandi
- SIOT Panel, Rome, Italy.
- Osservatorio Fratture da Fragilità, Via San Gallo 123, 50100, Florence, Italy.
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Li G. Looking forward to a better 2023 and beyond. J Orthop Translat 2022; 37:A1-A2. [PMID: 36594075 PMCID: PMC9796939 DOI: 10.1016/j.jot.2022.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
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