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Sußiek J, Koeppe J, Fischhuber K, Iking J, Marschall U, Raschke MJ, Katthagen JC, Stolberg-Stolberg J. Treatment of Proximal Humeral Fractures in Older Patients During COVID-19 Pandemic in Germany. Clin Epidemiol 2025; 17:9-18. [PMID: 39839370 PMCID: PMC11748757 DOI: 10.2147/clep.s486852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 11/23/2024] [Indexed: 01/23/2025] Open
Abstract
Purpose The COVID-19 pandemic had a severe influence on the entire health sector. Until today, the effect of a SARS-CoV-2 infection on older patients with a proximal humeral fracture (PHF) is unknown. This study examined the following questions: Did the incidence of PHF of older people in Germany vary during the pandemic? Did the treatment change between the lockdown and non-lockdown periods? Was a SARS-CoV-2 infection associated with a worse outcome? Methods Retrospective claims data of the BARMER health insurance were analysed. All in- and outpatient cases of insurance holders ≥65 years from 01/2010 to 09/2022, with coded diagnosis of PHF were analysed. Primary endpoints were the 1-month incidence of PHF per 100,000 insurance holders, number of operative therapies, in-hospital death and in-hospital major adverse events (MAEs). Results 174,898 inpatient PHF cases were included. During the lockdown periods, the total incidence fell, while the outpatient incidence partially increased during the pandemic-period. Regarding the therapy allocation, there were no relevant persisting changes. In a detailed analysis of 23,979 PHF cases from 01/2020 to 09/2022, 4.1% patients suffered from a SARS-CoV-2 infection and showed a notably higher in-hospital mortality (8.1% vs 2.5%; risk adjusted OR 2.79, 95% CI 2.11-3.70, p < 0.001) and more MAEs (17.0% vs 7.8%; risk adjusted OR 1.43, 95% CI 1.15-1.77, p < 0.001). Conclusion During the COVID-19 pandemic, the overall incidence of PHF in older patients was reduced. The treatment allocation did not change between the pre- and intra-pandemic period. An infection with SARS-CoV-2 was associated with higher mortality and more MAEs.
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Affiliation(s)
- Julia Sußiek
- Department of Trauma-, Hand- and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany
| | - Jeanette Koeppe
- Institute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany
- Research Group “Mathematical Surgery”, University Hospital Muenster, University of Muenster, Muenster, Germany
| | - Karen Fischhuber
- Institute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany
- Research Group “Mathematical Surgery”, University Hospital Muenster, University of Muenster, Muenster, Germany
| | - Janette Iking
- Department of Trauma-, Hand- and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany
- Research Group “Mathematical Surgery”, University Hospital Muenster, University of Muenster, Muenster, Germany
| | - Ursula Marschall
- Department of Medicine and Health Services Research, BARMER Health Insurance, Wuppertal, Germany
| | - Michael J Raschke
- Department of Trauma-, Hand- and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany
| | - J Christoph Katthagen
- Department of Trauma-, Hand- and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany
- Research Group “Mathematical Surgery”, University Hospital Muenster, University of Muenster, Muenster, Germany
| | - Josef Stolberg-Stolberg
- Department of Trauma-, Hand- and Reconstructive Surgery, University Hospital Muenster, Muenster, Germany
- Research Group “Mathematical Surgery”, University Hospital Muenster, University of Muenster, Muenster, Germany
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Gifre L, Massó E, Fusaro M, Haarhaus M, Ureña P, Cozzolino M, Mazzaferro S, Calabia J, Peris P, Bover J. Vertebral fractures in patients with CKD and the general population: a call for diagnosis and action. Clin Kidney J 2024; 17:sfae191. [PMID: 39099567 PMCID: PMC11294886 DOI: 10.1093/ckj/sfae191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Indexed: 08/06/2024] Open
Abstract
Vertebral fractures (VFs) are the most common osteoporotic fractures in the general population, and they have been associated with high mortality, decreased quality of life, and high risk of subsequent fractures, especially when recent, multiple, or severe. Currently, VF diagnosis and classification determine fracture risk and the most appropriate anti-osteoporotic treatment. However, VFs are clearly underdiagnosed, especially in patients with chronic kidney disease (CKD), and CKD-associated osteoporosis has been disregarded until recently. VFs are associated with higher morbidity and mortality, and their prevalence and incidence differ depending on the grade of renal dysfunction (CKD G1-G5) and/or the type of renal replacement therapy (dialysis or transplantation). In addition to classical risk factors [such as higher age, female sex, reduced bone mineral density, diabetes and steroid use], various other factors have been associated with an increased risk of VFs in CKD, including CKD grade, haemodialysis vintage, time since renal transplantation, low or high intact parathyroid hormone and phosphate levels, and/or vitamin D and K1 deficiencies. Importantly, several clinical societies have recently modified their algorithms according to the fracture risk classification (including the presence of VFs) and determined the most appropriate anti-osteoporotic treatment for the general population. However, there are no specific guidelines addressing this topic in patients with CKD despite an important paradigm shift regarding the prognostic value of bone mineral density in 2017 after the publication of the CKD-Mineral and Bone Disorder Kidney Disease: Improving Global Outcomes guidelines. A proactive attitude towards diagnosis, treatment, and research is proposed to avoid therapeutic nihilism.
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Affiliation(s)
- Laia Gifre
- Rheumatology Department, Hospital Germans Trias i Pujol, Research Institute Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, Badalona (Barcelona), Catalonia, Spain
| | - Elisabet Massó
- Nephrology Department, University Hospital Germans Trias i Pujol, REMAR-IGTP Group, Research Institute Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, Badalona (Barcelona), Catalonia, Spain
| | - Maria Fusaro
- National Research Council (CNR), Institute of Clinical Physiology, Pisa (Italy). Department of Medicine, University of Padua, Padua, Italy
| | - Mathias Haarhaus
- Division of Renal Medicine, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Karolinska University Hospital, Huddinge, Stockholm, Sweden
- Diaverum AB, Hyllie Boulevard 53, Malmö, Sweden
| | - Pablo Ureña
- Department of Nephrology and Dialysis, AURA Nord Saint-Ouen, Saint-Ouen, Paris, France
- Department of Renal Physiology, Necker Hospital, University of Paris Descartes, Paris, France
| | - Mario Cozzolino
- Renal Division, Department of Health Sciences, University of Milan, Milan, Italy
| | - Sandro Mazzaferro
- Department of Translation and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Jordi Calabia
- Nephrology Department, University Hospital Josep Trueta. IdIBGi Research Institute. Universitat de Girona, Catalonia, Spain
| | - Pilar Peris
- Rheumatology Department, Hospital Clinic de Barcelona, IDIBAPS, University of Barcelona, Barcelona, Catalonia, Spain
| | - Jordi Bover
- Nephrology Department, University Hospital Germans Trias i Pujol, REMAR-IGTP Group, Research Institute Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, Badalona (Barcelona), Catalonia, Spain
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3
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Lui DTW, Xiong X, Cheung CL, Lai FTT, Li X, Wan EYF, Chui CSL, Chan EWY, Cheng FWT, Chung MSH, Au ICH, Lee CH, Ip TP, Woo YC, Tan KCB, Wong CKH, Wong ICK. Risks of incident major osteoporotic fractures following SARS-CoV-2 infection among older individuals: a population-based cohort study in Hong Kong. J Bone Miner Res 2024; 39:551-560. [PMID: 38477768 PMCID: PMC11262151 DOI: 10.1093/jbmr/zjae041] [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: 11/29/2023] [Revised: 02/06/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024]
Abstract
Population-based epidemiological studies on post-acute phase coronavirus 2019 (COVID-19)-related fractures in older adults are lacking. This study aims to examine the risk of incident major osteoporotic fractures following SARS-CoV-2 infection among individuals aged ≥50, compared to individuals without COVID-19. It was a retrospective, propensity-score matched, population-based cohort study of COVID-19 patients and non-COVID individuals identified from the electronic database of the Hong Kong Hospital Authority from January 2020 to March 2022. The primary outcome was a composite of major osteoporotic fractures (hip, clinical vertebral, and upper limb). COVID-19 patients were 1:1 matched to controls using propensity-score according to age, sex, vaccination status, medical comorbidities and baseline medications. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models. A total of 429 459 COVID-19 patients were included, 1:1 matched to non-COVID individuals. Upon median follow-up of 11 months, COVID-19 patients had higher risks of major osteoporotic fractures (5.08 vs 3.95 per 1000 persons; HR 1.22 95%CI [1.15-1.31]), hip fractures (2.71 vs 1.94; 1.33 [1.22-1.46]), clinical vertebral fractures (0.42 vs 0.31; 1.29 [1.03-1.62]), and falls (13.83 vs 10.36; 1.28 [1.23-1.33]). Subgroup analyses revealed no significant interaction. In acute (within 30 days) and post-acute phases (beyond 30 days) following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we consistently observed a significant increase in fractures and falls risks. Our study demonstrated increased risk of major osteoporotic fractures after SARS-CoV-2 infection in both acute and post-acute phases in older adults, partly due to increased fall risk. Clinicians should be aware of musculoskeletal health of COVID-19 survivors.
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Affiliation(s)
- David T W Lui
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xi Xiong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Cheung
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
| | - Francisco T T Lai
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
| | - Eric Y F Wan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Celine S L Chui
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
- School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Esther W Y Chan
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Pharmacy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
- The University of Hong Kong Shenzhen Institute of Research and Innovation, Shenzhen, China
| | - Franco W T Cheng
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Matthew S H Chung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ivan C H Au
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Chi-Ho Lee
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Tai-Pang Ip
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yu-Cho Woo
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kathryn C B Tan
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Carlos K H Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Infectious Disease Epidemiology & Dynamics, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK
| | - Ian C K Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Hong Kong SAR, China
- Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong SAR, China
- Aston Pharmacy School, Aston University, Birmingham B4 7ET, United Kingdom
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Surís X, Rodríguez C, Llargués E, Pueyo-Sánchez MJ, Larrosa M. Trend and Seasonality of Hip Fractures in Catalonia, Spain: Exploring the Influence of Climate. Calcif Tissue Int 2024; 114:326-339. [PMID: 38340169 PMCID: PMC10957628 DOI: 10.1007/s00223-024-01182-8] [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: 12/12/2023] [Accepted: 12/30/2023] [Indexed: 02/12/2024]
Abstract
To describe the secular trend and seasonality of the incidence of hip fracture (HF) and its relationship with climatic variables during the period 2010-2019 in Catalonia in people aged ≥ 65 years. The results were analyzed by sex, age groups (65-74, 75-84, and ≥ 85), and types of fracture (extracapsular and intracapsular). Data on sex, age, type of fracture, year, and month of hospitalization of patients admitted with a diagnosis of HF between January 1, 2010 and December 31, 2019 were collected. Crude and standardized HF incidence (HFi) rates were obtained. Data on the monthly mean of climatological variables (temperature, insolation, icy days, rain, relative humidity, atmospheric pressure, and wind force) were obtained from the network of meteorological stations in Catalonia. Time series analytical statistics were used to identify trends and seasonality. Linear regression and a seasonal autoregressive integrated moving average (ARIMA) were used to analyze the relationship of each climatic parameter with fracture rates. In addition, generalized additive models were used to ascertain the best predictive model. The total number of HF episodes was 90,149 (74.1% in women and 25.9% in men). The total number of HFs increased by 6.4% between 2010 and 2019. The median age (SD) was 84.5 (7.14) and 54% of patients were ≥ 85 years of age. Extracapsular fractures were the most common (55%). The standardized incidence rates decreased from 728.1/100,000 (95% CI 738.6-769.3) to 624.5/100,000 (95% CI 648.7-677.0), which represents a decrease of 14.2% (p < 0.05). The decline was greater at older ages. There were seasonal variations, with higher incidences in autumn (27.2%) and winter (25.7%) and lower rates in summer (23.5%) and spring (23.6%). Seasonality was more pronounced in elderly people and men. In the bivariate regression analysis, high temperatures and greater insolation were negatively associated with the HF rate, while the number of icy days, rainy days, and high relative humidity were associated with a higher incidence of fractures in all age groups and sexes. In the regression analysis using the seasonal ARIMA model, only insolation had a consistently significant association with overall HFi, after adjusting by trend and other climatic parameters. While the global number of HFs grew in Catalonia due to increases in the elderly population, the standardized HF rate decreased during the years 2010-2019. There was a seasonal trend, with predominance in the cold months and correlations with climatic parameters, especially with insolation.
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Affiliation(s)
- Xavier Surís
- Master Plan of Musculoskeletal Diseases, Department of Health, C/Travessera de les Corts, 131-159, 08028, Barcelona, Catalonia, Spain.
- Rheumatology Department, Hospital General de Granollers, Granollers, Spain.
- School of Medicine and Health Sciences, Universitat Internacional de Catalunya, Sant Cugat del Valles, Spain.
| | - Clara Rodríguez
- Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
| | - Esteve Llargués
- School of Medicine and Health Sciences, Universitat Internacional de Catalunya, Sant Cugat del Valles, Spain
- Internal Medicine Department, Hospital General de Granollers, Granollers, Spain
| | - Maria J Pueyo-Sánchez
- Assistance and Participation Area. La Unió, Association of Health and Social Entities, Barcelona, Spain
| | - Marta Larrosa
- Master Plan of Musculoskeletal Diseases, Department of Health, C/Travessera de les Corts, 131-159, 08028, Barcelona, Catalonia, Spain
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Baek S, Kim YJ, Kim BJ, Hong N. Impact of COVID-19 on the Incidence of Fragility Fracture in South Korea. J Bone Metab 2024; 31:31-39. [PMID: 38485239 PMCID: PMC10940106 DOI: 10.11005/jbm.2024.31.1.31] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/30/2023] [Accepted: 12/08/2023] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic and the consequent social distancing period are thought to have influenced the incidence of osteoporotic fracture in various ways, but the exact changes have not yet been well elucidated. The purpose of this study was to investigate the impact of the COVID-19 pandemic on the incidence of osteoporotic fracture using a nationwide cohort. METHODS The monthly incidence rates of vertebral; hip; and non-vertebral, non-hip fractures were collected from a nationwide database of the Korean National Health Insurance Review and Assessment from July 2016 to June 2021. Segmented regression models were used to assess the change in levels and trends in the monthly incidence of osteoporotic fractures. RESULTS There was a step decrease in the incidence of vertebral fractures for both males (6.181 per 100,000, P=0.002) and females (19.299 per 100,000, P=0.006). However, there was a negative trend in the incidence of hip fracture among both males (-0.023 per 100,000 per month, P=0.023) and females (-0.032 per 100,000 per month, P=0.019). No impact of COVID-19-related social distancing was noted. CONCLUSIONS In conclusion, during the early days of the COVID-19 pandemic, vertebral fracture incidence considerably decreased with the implementation of social distancing measures.
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Affiliation(s)
- Seungjin Baek
- Department of Internal Medicine, Endocrine Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul,
Korea
| | - Ye-Jee Kim
- Department of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul,
Korea
| | - Beom-Jun Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul,
Korea
| | - Namki Hong
- Department of Internal Medicine, Endocrine Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul,
Korea
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Gifre L, Prior-Español Á. [Vertebral fragility fractures: The importance of its identification]. Med Clin (Barc) 2023; 161:205-206. [PMID: 37127461 DOI: 10.1016/j.medcli.2023.03.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 05/03/2023]
Affiliation(s)
- Laia Gifre
- Servicio de Reumatología, Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, España; Universidad Autónoma de Barcelona, Badalona, Barcelona, España.
| | - Águeda Prior-Español
- Servicio de Reumatología, Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, España
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