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The study aims to investigate the relationship between sarcopenia and bone mineral density (BMD) in patients with hip fractures using sonographic thigh adjustment ratio (STAR) and dual-energy X-ray absorptiometry (DXA), as well as the relationship of sociodemographic factors, laboratory results, and comorbidities to these measurements.
Cross-sectional research was undertaken on patients with hip fractures in Kastamonu, Turkey. Sarcopenia was identified based on the ISarcoPRM algorithm, which utilizes poor grip strength (<22 kg for females and < 32 kg for males) along with low STAR values (< 1 for females and <1.4 for males). Sociodemographic data of the patients and levels of total protein, albumin, and 25-OH-vitamin D3 (25[OH]D) were obtained from all the patients. The BMD (bone mineral density) and T-scores of the proximal femur were measured using DXA (dual-energy X-ray absorptiometry).
Introduction
Sarcopenia is a progressive and common skeletal muscle disorder, that causes progressive loss of age-related muscle strength and mass, associated with an increased likelihood of outcomes such as falls, fractures, physical disability, and death. Estimates place the overall prevalence of sarcopenia in older adults at approximately 10-40%. Osteoporosis and sarcopenia, prevalent conditions of advanced age, have comparable etiologies and risk factors. The co-occurrence of these illnesses amplifies the incidence of falls, fractures, and mortality. While EWGSOP2 and AWGS guidelines recommend using validated technologies like bioimpedance analysis, dual X-ray absorptiometry (DXA), computed tomography and magnetic resonance imaging for evaluating sarcopenia, these may not be feasible in certain clinical situations. The International Society of Physical and Rehabilitation Medicine (ISPRM) has suggested a different algorithm to diagnose sarcopenia by measuring anterior thigh muscle thickness using ultrasound (US). This method is easy to obtain, does not involve radiation, and is less expensive.
The study uses the sonographic thigh adjustment ratio (STAR) to look into the link between sarcopenia and bone mineral density (BMD) in people who have had a hip fracture. Additionally, the study explores the association between sociodemographic factors, laboratory results, comorbidities, and these measurements.
2. Material and Method
2.1. Study Design and Population
An observational cross-sectional study was conducted on hip fracture patients attending the orthopedic clinics of a tertiary hospital in Kastamonu, Turkey. The study was approved by the local Institutional Review Board (2024-KAEK-26- 01, February 7th, 2024). Written informed consent was obtained from all participants. Subjects were consecutively recruited during the first 24 hours of hospital stay from May to November 2023. Sarcopenia was diagnosed using the ISarcoPRM algorithm, which considers low grip strength and low STAR values. Inclusion criteria included the detection of low muscle strength with a hand dynamometer and patients scheduled for hip fracture surgery. Exclusion criteria included terminal disease, acute or chronic neuromuscular disease, and traumatic or pathological hip fracture.
2.2 Handgrip strength
Handgrip strength was measured using a Jamar dynamometer (Baseline Hydraulic Hand dynamometer, Irvington, NY) with participants performing two trials with both hands. The highest value obtained was used for analysis. Cut-off values for Turkish people were <22 kg for women and <32 kg for men.
2.3. Laboratory Data
The Kastamonu Research and Training Hospital Laboratory Service, a medical laboratory service with Turkey Accreditation System accreditation, performed laboratory analyses on-site. Total protein, albumin, and 25-OH-vitamin D3 (25[OH]D) levels were collected. The normal range for total protein is 6.6-8.3 g/dl, for albumin, it is 3.5-5.2 g/dl, and for 25[OH]D levels: deficient (<20 ng/dl), insufficient (20-30 ng/dl), or normal (>30 ng/dl).
2.4. Dual Energy X-ray Absorptiometry (DXA)
Non-fracture proximal femur neck BMD (g/cm2) and T-scores were obtained using the same DXA (Stratos DR (DMS) Mauguio, France). The World Health Organization (WHO) categorizes patients based on their lumbar spine, femoral neck, and/or total hip bone mineral density (BMD). Patients are classified as normal if their T score exceeds -1 standard deviation (SD), as osteopenic if it falls between -2.5 SD and -1 SD, and as osteoporotic if it equals or falls below - 2.5 SD. As only a small number of subjects presented with osteoporosis, "severe" osteopenia (-2.5 SD\
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| hip fracture patients | this is a observational study. There is no intervention. |
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| Measure | Description | Time Frame |
|---|---|---|
| Bone Mineral Density (g/cm2) | Non-fracture proximal femur neck BMD (g/cm2) was obtained using the same DXA (Stratos DR (DMS), Mauguio, France) | baseline |
| Sonographic Thigh Adjustment Ratio (STAR) value | The study used the standard sonographic thigh adjustment ratio values of 1.0 for female patients and 1.4 for male patients. These values are found by dividing the thickness of the anterior thigh muscle (in mm) by the person's body mass (in kg/m2). | baseline |
| T-scores | A non-fracture proximal femur neck T score was obtained using the same DXA and is classified as normal if their T score exceeds -1 standard deviation (SD), as osteopenic if it falls between -2.5 SD and -1 SD, and as osteoporotic if it equals or falls below -2.5 SD. | baseline |
| Measure | Description | Time Frame |
|---|---|---|
| 25[OH]D levels | baseline | |
| Albumin levels | baseline | |
| Protein levels |
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Inclusion Criteria:
Exclusion Criteria:
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Hip fracture patients attending the orthopedic clinics of a tertiary hospital in Kastamonu, Turkey.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Gamze Gül Güleç | Kastamonu | 37150 | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31171417 | Background | Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet. 2019 Jun 29;393(10191):2636-2646. doi: 10.1016/S0140-6736(19)31138-9. Epub 2019 Jun 3. | |
| 20392703 | Background | Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, Martin FC, Michel JP, Rolland Y, Schneider SM, Topinkova E, Vandewoude M, Zamboni M; European Working Group on Sarcopenia in Older People. Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010 Jul;39(4):412-23. doi: 10.1093/ageing/afq034. Epub 2010 Apr 13. |
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| ID | Term |
|---|---|
| D055948 | Sarcopenia |
| D006620 | Hip Fractures |
| ID | Term |
|---|---|
| D009133 | Muscular Atrophy |
| D020879 | Neuromuscular Manifestations |
| D009461 | Neurologic Manifestations |
| D009422 | Nervous System Diseases |
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| baseline |
| 30052707 | Background | Mayhew AJ, Amog K, Phillips S, Parise G, McNicholas PD, de Souza RJ, Thabane L, Raina P. The prevalence of sarcopenia in community-dwelling older adults, an exploration of differences between studies and within definitions: a systematic review and meta-analyses. Age Ageing. 2019 Jan 1;48(1):48-56. doi: 10.1093/ageing/afy106. |
| 33877382 | Background | Teng Z, Zhu Y, Teng Y, Long Q, Hao Q, Yu X, Yang L, Lv Y, Liu J, Zeng Y, Lu S. The analysis of osteosarcopenia as a risk factor for fractures, mortality, and falls. Osteoporos Int. 2021 Nov;32(11):2173-2183. doi: 10.1007/s00198-021-05963-x. Epub 2021 Apr 20. |
| 37324795 | Background | Gupta M, Lehl SS, Lamba AS. Ultrasonography for Assessment of Sarcopenia: A Primer. J Midlife Health. 2022 Oct-Dec;13(4):269-277. doi: 10.4103/jmh.jmh_234_22. Epub 2023 Apr 28. |
| 32941253 | Background | Kara M, Kaymak B, Ata AM, Ozkal O, Kara O, Baki A, Sengul Aycicek G, Topuz S, Karahan S, Soylu AR, Cakir B, Halil M, Ozcakar L. STAR-Sonographic Thigh Adjustment Ratio: A Golden Formula for the Diagnosis of Sarcopenia. Am J Phys Med Rehabil. 2020 Oct;99(10):902-908. doi: 10.1097/PHM.0000000000001439. |
| 34121127 | Background | Kara M, Kaymak B, Frontera W, Ata AM, Ricci V, Ekiz T, Chang KV, Han DS, Michail X, Quittan M, Lim JY, Bean JF, Franchignoni F, Ozcakar L. Diagnosing sarcopenia: Functional perspectives and a new algorithm from the ISarcoPRM. J Rehabil Med. 2021 Jun 21;53(6):jrm00209. doi: 10.2340/16501977-2851. |
| 26922142 | Background | Bahat G, Tufan A, Tufan F, Kilic C, Akpinar TS, Kose M, Erten N, Karan MA, Cruz-Jentoft AJ. Cut-off points to identify sarcopenia according to European Working Group on Sarcopenia in Older People (EWGSOP) definition. Clin Nutr. 2016 Dec;35(6):1557-1563. doi: 10.1016/j.clnu.2016.02.002. Epub 2016 Feb 11. |
| 32438444 | Background | Miron Mombiela R, Vucetic J, Rossi F, Tagliafico AS. Ultrasound Biomarkers for Sarcopenia: What Can We Tell So Far? Semin Musculoskelet Radiol. 2020 Apr;24(2):181-193. doi: 10.1055/s-0039-3402745. Epub 2020 May 21. |
| D001284 | Atrophy |
| D020763 | Pathological Conditions, Anatomical |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012816 | Signs and Symptoms |
| D005264 | Femoral Fractures |
| D050723 | Fractures, Bone |
| D014947 | Wounds and Injuries |
| D025981 | Hip Injuries |
| D007869 | Leg Injuries |