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Virto N, Río X, Angulo-Garay G, García Molina R, Avendaño Céspedes A, Cortés Zamora EB, Gómez Jiménez E, Alcantud Córcoles R, Rodriguez Mañas L, Costa-Grille A, Matheu A, Marcos-Pérez D, Lazcano U, Vergara I, Arjona L, Saeteros M, Lopez-de-Ipiña D, Coca A, Abizanda Soler P, Sanabria SJ. Development of Continuous Assessment of Muscle Quality and Frailty in Older Patients Using Multiparametric Combinations of Ultrasound and Blood Biomarkers: Protocol for the ECOFRAIL Study. JMIR Res Protoc 2024; 13:e50325. [PMID: 38393761 PMCID: PMC10924264 DOI: 10.2196/50325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/11/2023] [Accepted: 01/02/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Frailty resulting from the loss of muscle quality can potentially be delayed through early detection and physical exercise interventions. There is a demand for cost-effective tools for the objective evaluation of muscle quality, in both cross-sectional and longitudinal assessments. Literature suggests that quantitative analysis of ultrasound data captures morphometric, compositional, and microstructural muscle properties, while biological assays derived from blood samples are associated with functional information. OBJECTIVE This study aims to assess multiparametric combinations of ultrasound and blood-based biomarkers to offer a cross-sectional evaluation of the patient frailty phenotype and to track changes in muscle quality associated with supervised exercise programs. METHODS This prospective observational multicenter study will include patients aged 70 years and older who are capable of providing informed consent. We aim to recruit 100 patients from hospital environments and 100 from primary care facilities. Each patient will undergo at least two examinations (baseline and follow-up), totaling a minimum of 400 examinations. In hospital environments, 50 patients will be measured before/after a 16-week individualized and supervised exercise program, while another 50 patients will be followed up after the same period without intervention. Primary care patients will undergo a 1-year follow-up evaluation. The primary objective is to compare cross-sectional evaluations of physical performance, functional capacity, body composition, and derived scales of sarcopenia and frailty with biomarker combinations obtained from muscle ultrasound and blood-based assays. We will analyze ultrasound raw data obtained with a point-of-care device, along with a set of biomarkers previously associated with frailty, using quantitative real-time polymerase chain reaction and enzyme-linked immunosorbent assay. Additionally, we will examine the sensitivity of these biomarkers to detect short-term muscle quality changes and functional improvement after a supervised exercise intervention compared with usual care. RESULTS At the time of manuscript submission, the enrollment of volunteers is ongoing. Recruitment started on March 1, 2022, and ends on June 30, 2024. CONCLUSIONS The outlined study protocol will integrate portable technologies, using quantitative muscle ultrasound and blood biomarkers, to facilitate an objective cross-sectional assessment of muscle quality in both hospital and primary care settings. The primary objective is to generate data that can be used to explore associations between biomarker combinations and the cross-sectional clinical assessment of frailty and sarcopenia. Additionally, the study aims to investigate musculoskeletal changes following multicomponent physical exercise programs. TRIAL REGISTRATION ClinicalTrials.gov NCT05294757; https://clinicaltrials.gov/ct2/show/NCT05294757. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/50325.
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Affiliation(s)
- Naiara Virto
- Department of Physical Activity and Sport Science, Faculty of Education and Sport, University of Deusto, Bilbao, Spain
| | - Xabier Río
- Department of Physical Activity and Sport Science, Faculty of Education and Sport, University of Deusto, Bilbao, Spain
| | - Garazi Angulo-Garay
- Department of Physical Activity and Sport Science, Faculty of Education and Sport, University of Deusto, Bilbao, Spain
| | - Rafael García Molina
- Department of Geriatrics, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
- Center for Biomedical Research Network on Fragility and Healthy Aging (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
| | - Almudena Avendaño Céspedes
- Department of Geriatrics, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
- Center for Biomedical Research Network on Fragility and Healthy Aging (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
- Facultad de Enfermería de Albacete, Universidad de Castilla-La Mancha, Albacete, Spain
| | - Elisa Belen Cortés Zamora
- Department of Geriatrics, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
- Center for Biomedical Research Network on Fragility and Healthy Aging (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
| | - Elena Gómez Jiménez
- Department of Geriatrics, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | - Ruben Alcantud Córcoles
- Department of Geriatrics, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
- Center for Biomedical Research Network on Fragility and Healthy Aging (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
| | - Leocadio Rodriguez Mañas
- Center for Biomedical Research Network on Fragility and Healthy Aging (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
- Geriatrics Department, University Hospital of Getafe, Getafe, Spain
| | | | - Ander Matheu
- Center for Biomedical Research Network on Fragility and Healthy Aging (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
- Biodonostia, Health Research Institute, Donostia, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Diego Marcos-Pérez
- Department of Geriatrics, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | - Uxue Lazcano
- Biodonostia, Health Research Institute, Donostia, Spain
| | - Itziar Vergara
- Biodonostia, Health Research Institute, Donostia, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
- Osakidetza, Health Care Department, Research Unit APOSIs, Gipuzkoa, Spain
- Research Network in Chronicity, Primary Care and Health Promotion (RICAPPS), Barakaldo, Spain
| | - Laura Arjona
- Deusto Institute of Technology, University of Deusto, Bilbao, Spain
| | - Morelva Saeteros
- Deusto Institute of Technology, University of Deusto, Bilbao, Spain
| | | | - Aitor Coca
- Department of Physical Activity and Sports Sciences, Faculty of Health Sciences, Euneiz University, Vitoria-Gasteiz, Spain
| | - Pedro Abizanda Soler
- Department of Geriatrics, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
- Center for Biomedical Research Network on Fragility and Healthy Aging (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain
- Facultad de Medicina de Albacete, Universidad de Castilla-La Mancha, Albacete, Spain
| | - Sergio J Sanabria
- IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
- Deusto Institute of Technology, University of Deusto, Bilbao, Spain
- Department of Radiology, Stanford University, Palo Alto, CA, United States
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Shankar KN, Li A. Older Adult Falls in Emergency Medicine, 2023 Update. Clin Geriatr Med 2023; 39:503-518. [PMID: 37798062 DOI: 10.1016/j.cger.2023.05.010] [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] [Indexed: 10/07/2023]
Abstract
Of 4 older adults, 1 will fall each year in the United States. Based on 2020 data from the Centers of Disease Control, about 36 million older adults fall each year, resulting in 32,000 deaths. Emergency departments see about 3 million older adults for fall-related injuries with falls having the ability to cause serious injury such as catastrophic head injuries and hip fractures. One-third of older fall patients discharged from the ED experience one of these outcomes at 3 months.
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Affiliation(s)
- Kalpana N Shankar
- Department of Emergency Medicine, Brigham and Women's Hospital, 75 Francis Street, Neville House, Boston, MA 02115, USA.
| | - Angel Li
- Department of Emergency Medicine, The Ohio State University, 376 West 10th Avenue, Columbus, OH 43210, USA
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Effects of age and gender on body composition indices as predictors of mortality in middle-aged and old people. Sci Rep 2022; 12:7912. [PMID: 35551227 PMCID: PMC9098413 DOI: 10.1038/s41598-022-12048-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 04/26/2022] [Indexed: 11/08/2022] Open
Abstract
To determine whether body composition indices interact with age and gender as a predictor of all-cause mortality, 1200 participants at least 40 years of age were recruited in 2009 and 2010. A multi-frequency bioelectrical impedance analysis device was used to measure each participant's body composition indices, including the fat mass index (FMI), fat free mass index (FFMI), skeletal muscle mass index (SMMI), and visceral fat area index (VFAI). A baseline questionnaire was used to collect demographic information about lifestyle habits, socioeconomic status, and medical conditions. All claimed records of death from 2009 to 2018 in the National Health Insurance Research Databank were identified. The all-cause mortality rate was 8.67% after a mean follow-up period of 5.86 ± 2.39 person-years. The Cox proportional hazard model analysis showed significantly negative associations between FFMI or SMMI with all-cause mortality in the total group and those aged ≥ 65 y/o. The FFMI and SMMI were negative predictors of mortality in both genders. The FMI and VFAI were positive predictors of mortality exclusively in females. In conclusion, the SMMI is a better predictor of mortality than the BMI, FMI, and FFMI, especially in older adults. A higher fat mass or visceral fat distribution may predict higher mortality in females.
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Validation of the Taiwan FRAX® calculator for the prediction of fracture risk. Arch Osteoporos 2022; 17:27. [PMID: 35094177 DOI: 10.1007/s11657-022-01068-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 01/20/2022] [Indexed: 02/03/2023]
Abstract
The Taiwan FRAX® calculator was validated to predict incident fractures preliminarily. Cutoffs of FRAX probability for predicting major osteoporotic fracture and hip fracture were proposed as 9.5% and 4% in Taiwanese individuals. PURPOSE FRAX® is an algorithm used to calculate fracture probabilities based on clinical risk factors (CRFs) and bone mineral density (BMD). The country-specific Taiwan FRAX calculator has not been validated since its establishment in 2010. The aim of the present study is to evaluate the predictive performance of the Taiwan FRAX calculator using longitudinal fracture data. METHODS A total of 1975 subjects, aged ≧ 40 years old, from Yunlin and Tianliao cohorts in Taiwan during the period 2009-2010, were identified and completely connected with the 2008-2016 National Health Insurance Research Database. RESULTS During the average 6.8 ± 1.1 years of follow-up, 160 incident major osteoporotic fractures (MOFs) were identified. The predictive ability assessing based on the observed to expected fractures (O/E) ratio calculated with the FRAX probability adjusted for 6.8 years were 1.19 (95%CI 1.02-1.39) for MOF, and 1.07 (95%CI 0.82-1.39) for hip fractures. In the discriminative statistics, the AUC for prediction of major osteoporotic fractures using FRAX was 0.75 without and 0.77 with BMD (AUC for hip fracture was 0.75 without and 0.77 with BMD). The optimal cutoff value was 9.5% of the FRAX score with BMD for all major osteoporotic fractures, with good sensitivity (76.9%) and specificity (65.3%). For hip fractures, the optimal cutoff point for the FRAX probability with BMD was 4.0%, and the sensitivity and specificity were 74.4% and 68.3%, respectively. CONCLUSION The Taiwan FRAX® calculator was validated to predict incident fractures preliminarily. Cutoffs are proposed for predicting fracture risk in Taiwanese individuals.
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Catelani F, Costa-Júnior JFS, de Andrade MC, Von Krüger MA, Pereira WCDA. Recycled windshield glass as new material for producing ultrasonic phantoms of cortical bone-healing stages. Biomed Phys Eng Express 2021; 7. [PMID: 34340223 DOI: 10.1088/2057-1976/ac19ce] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 08/02/2021] [Indexed: 11/11/2022]
Abstract
The quantitative ultrasound technique was used to evaluate bone-mimicking phantoms; however, these phantoms do not mimic the intermediate stages of cortical bone healing. We propose using windshield glass as an original material to produce phantoms that mimic the characteristics of three different stages of cortical bone healing. This material was processed via a route that included breaking, grinding, compacting, drying, and sintering in four temperature groups: 625 °C, 645 °C, 657 °C, and 663 °C. The parameters evaluated were the ultrasonic longitudinal phase velocity (cL), corrected (αc) ultrasonic attenuation coefficient, and bulk density (ρs). The results showed that the mean values ofcL,αc,andρsvaried from 2, 398 to 4, 406 m·s-1, 3 to 10 dB·cm-1, and 1, 563 to 2, 089 kg·m-3, respectively. The phantoms exhibited properties comparable with the three stages of cortical bone healing and can be employed in diagnostic and therapeutic studies using ultrasound.
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Affiliation(s)
- Fernanda Catelani
- Brazilian Navy, Rio de Janeiro, RJ, Brazil.,Raul Sertã Municipal Hospital, Nova Friburgo, RJ, Brazil.,Biomedical Engineering Program - COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - José Francisco Silva Costa-Júnior
- Biomedical Engineering Program - COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.,Brazilian Air Force Academy, Pirassununga, SP, Brazil
| | | | - Marco Antônio Von Krüger
- Biomedical Engineering Program - COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
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