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Taskent I, Ece B, Aydin S. Assessment of Psoas Muscle Index in Middle-Aged Type 2 Diabetes Patients: Impact of Insulin Therapy on Sarcopenia. Tomography 2024; 10:1054-1063. [PMID: 39058051 PMCID: PMC11280959 DOI: 10.3390/tomography10070079] [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: 06/16/2024] [Revised: 07/08/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
OBJECTIVE Sarcopenia, characterized by progressive skeletal muscle loss, poses significant health risks, including physical impairment and mortality. The relationship between sarcopenia and insulin resistance suggests insulin therapy's potential in preserving muscle mass, particularly in Type 2 diabetes mellitus (T2DM) patients. This study aims to evaluate the Psoas Muscle Index (PMI) via computed tomography (CT) in middle-aged T2DM patients on insulin therapy versus oral antidiabetic drugs (OAD) and controls. METHODS This retrospective study included 107 middle-aged T2DM patients undergoing non-contrast CT scans and 58 age-matched controls. CT images were analyzed to calculate PMI. Statistical analysis included Chi-square tests, independent samples t-tests, Mann-Whitney U tests, and correlation analyses. RESULTS Insulin-treated patients exhibited higher PMI than OAD users (p < 0.001), while OAD users had lower PMI than controls (p < 0.001). No significant difference was found between insulin-treated patients and controls (p = 0.616). Negative correlations were observed between T2DM duration/age and PMI across all groups, with a positive correlation between T2DM duration and BMI observed in the OAD group. CONCLUSIONS Insulin therapy in T2DM patients, regardless of age or disease duration, positively impacts muscle mass, highlighting its potential in preserving muscular health and advocating for tailored treatment strategies in T2DM management.
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Affiliation(s)
- Ismail Taskent
- Department of Radiology, Kastamonu University, 37150 Kastamonu, Turkey;
| | - Bunyamin Ece
- Department of Radiology, Kastamonu University, 37150 Kastamonu, Turkey;
| | - Sonay Aydin
- Department of Radiology, Erzincan University, 24100 Erzincan, Turkey;
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Terao Y, Nakayama Y, Abo M, Otobe Y, Suzuki M, Koyama S, Tanaka S, Kojima I, Haga N, Yamada M. Impact of the quantity and quality of the skeletal muscle on survival among patients undergoing allogeneic hematopoietic stem cell transplantation. Leuk Res 2023; 128:107057. [PMID: 36989578 DOI: 10.1016/j.leukres.2023.107057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/16/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023]
Abstract
INTRODUCTION Poor skeletal muscle function is relatively high in patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT), leading to various negative health outcomes. This study aimed to investigate the relationship between the quantity and quality of skeletal muscle before transplantation and the short-to long-term survival after transplantation in patients undergoing allo-HSCT. METHODS This retrospective cohort study included 156 patients undergoing allo-HSCT (men, 67.3 %; median age, 53 years; interquartile range, 42-61 years). The quantity and quality of the skeletal muscle were measured at the psoas major at the level of the third lumbar vertebrae using a computed tomography (CT) and were defined as psoas muscle index (PMI) and CT values (CTV), respectively. The outcome measure of this study was overall survival (OS) after allo-HSCT, and we examined the relationship between survival at three time points (6, 12, and 24 months) after transplantation, PMI, and CTV. RESULTS PMI was significantly associated with survival at all time points in the crude model (P < 0.001), and a significant association was observed in the fully adjusted model (P < 0.01). CTV was significantly associated with survival at all time points in the crude model (P < 0.05), but not in the fully adjusted model (P > 0.05). CONCLUSIONS We found that the quantity and quality of the skeletal muscle before transplantation were significantly associated with OS at 6, 12, and 24 months after transplantation, showing a particularly robust association with quantity.
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Affiliation(s)
- Yusuke Terao
- Department of Rehabilitation Medicine, The Jikei University School of Medicine Hospital, Tokyo, Japan; Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tokyo, Japan.
| | - Yasuhide Nakayama
- Department of Rehabilitation Medicine, The Jikei University School of Medicine Hospital, Tokyo, Japan
| | - Masahiro Abo
- Department of Rehabilitation Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Yuhei Otobe
- School of Medicine, Department of Rehabilitation Science, Physical Therapy Course, Osaka Metropolitan University, Osaka, Japan
| | - Mizue Suzuki
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tokyo, Japan
| | - Shingo Koyama
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tokyo, Japan
| | - Shu Tanaka
- Major of Physical Therapy, Department of Rehabilitation, School of Health Sciences, Tokyo University of Technology, 5-23-22 Nishikamata, Ota-ku, Tokyo 144-8535, Japan
| | - Iwao Kojima
- Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tokyo, Japan
| | - Naoto Haga
- Department of Rehabilitation Medicine, The Jikei University School of Medicine Hospital, Tokyo, Japan
| | - Minoru Yamada
- Faculty of Human Sciences, University of Tsukuba, Tokyo, Japan
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Asano-Hayami E, Morishita Y, Hayami T, Shibata Y, Kiyose T, Sasajima S, Hayashi Y, Motegi M, Kato M, Asano S, Nakai-Shimoda H, Yamada Y, Miura-Yura E, Himeno T, Kondo M, Tsunekawa S, Kato Y, Nakamura J, Kamiya H. Clinical parameters correlated with the psoas muscle index in Japanese individuals with type 2 diabetes mellitus. Diabetol Int 2023; 14:76-85. [PMID: 36636163 PMCID: PMC9829932 DOI: 10.1007/s13340-022-00602-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/28/2022] [Indexed: 01/16/2023]
Abstract
Aims Muscle atrophy is a diabetic complication, which results in a deterioration in glycemic control in type 2 diabetes mellitus (T2DM) individuals. The psoas muscle mass index (PMI) is a reliable indicator for estimating whole-body muscle mass. We aimed to examine the relationship between clinical parameters and the PMI to clarify the mechanism underlying muscle atrophy in diabetes. Methods This retrospective, cross-sectional study examined 51 patients (31 men and 20 women) with T2DM and a mean HbA1c value of 9.9 ± 1.7%. These patients were admitted to Aichi Medical University Hospital and underwent abdominal computed tomography imaging from July 2020 to April 2021. Multiple clinical parameters were assessed with the PMI. Results In a multiple regression analysis adjusted for age and sex, the PMI was correlated with body weight, body mass index, serum concentrations of corrected calcium, aspartate aminotransferase, alanine aminotransferase, creatine kinase, thyroid-stimulating hormone (TSH), urinary C-peptide concentrations, the free triiodothyronine/free thyroxine (FT3/FT4) ratio, and the young adult mean score at the femur neck. Receiver operating characteristic curves were created using TSH concentrations and the FT3/FT4 ratio for diagnosing a low PMI. The area under the curve was 0.593 and 0.699, respectively. The cut-off value with maximum accuracy for TSH concentrations was 1.491 μIU/mL, sensitivity was 56.1%, and specificity was 80.0%. Corresponding values for the FT3/FT4 ratio were 1.723, 78.0, and 66.7%, respectively. Conclusion TSH concentrations and the FT3/FT4 ratio are correlated with the PMI, and their thresholds may help prevent muscle mass loss in Japanese individuals with T2DM.
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Affiliation(s)
- Emi Asano-Hayami
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Yoshiaki Morishita
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Tomohide Hayami
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Yuka Shibata
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
- Department of Clinical Laboratory, Aichi Medical University Hospital, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Toshiki Kiyose
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Sachiko Sasajima
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Yusuke Hayashi
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Mikio Motegi
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Makoto Kato
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Saeko Asano
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Hiromi Nakai-Shimoda
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Yuichiro Yamada
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Emiri Miura-Yura
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Tatsuhito Himeno
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
- Department of Innovative Diabetes Therapy, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Masaki Kondo
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Shin Tsunekawa
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Yoshiro Kato
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Jiro Nakamura
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
- Department of Innovative Diabetes Therapy, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
| | - Hideki Kamiya
- Division of Diabetes, Department of Internal Medicine, Aichi Medical University School of Medicine, 1-1 Yazakokarimata, Nagakute, Aichi 480-1195 Japan
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Ding L, Fan Y, Qiao J, He J, Wang R, He Q, Cui J, Ma Z, Zheng F, Gao H, Dai C, Wei H, Li J, Cao Y, Hu G, Liu M. Distribution of lean mass and mortality risk in patients with type 2 diabetes. Prim Care Diabetes 2022; 16:824-828. [PMID: 36272915 DOI: 10.1016/j.pcd.2022.09.003] [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: 12/28/2021] [Revised: 05/27/2022] [Accepted: 09/04/2022] [Indexed: 11/07/2022]
Abstract
AIMS The aim of the study is to evaluate the association of distribution of lean mass with the risk of all-cause mortality among patients with type 2 diabetes. METHODS The present cohort study included 2 335 patients with type 2 diabetes. Lean mass was assessed by dual energy X-ray absorptiometry. Cox proportional hazards regressions were used to estimate the association of lean mass distribution on the risk of mortality. RESULTS The average age of the patients was 58 years at baseline and 51.4% of patients were women. During a median follow-up of 4.31 years, 128 patients died. The multivariable-adjusted hazards ratios for all-cause mortality were 1.00, 1.63 (0.89-2.99), and 2.68(1.51-4.76) across the tertiles of android-to-gynoid lean mass ratio (P for trend < 0.001), respectively. The positive association of android-to-gynoid lean mass ratio with the risk of all-cause mortality was present among patients of different ages, body mass index ≥ 24 kg/m2, hemoglobin A1c ≥ 7.0%, nonsmokers, men, patients using insulin, and patients with diabetes durations of more than 10 years. CONCLUSIONS Higher android-to-gynoid lean mass ratio, assessed by dual energy X-ray absorptiometry, was significantly associated with increased risk of all-cause mortality among patients with type 2 diabetes.
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Affiliation(s)
- Li Ding
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Yuxin Fan
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China; Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Jingting Qiao
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Jing He
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Ruodan Wang
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Qing He
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Jingqiu Cui
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Zhongshu Ma
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Fangqiu Zheng
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Hua Gao
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Chenlin Dai
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Hongyan Wei
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Jun Li
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Yuming Cao
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
| | - Ming Liu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, China.
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Hu J, Hu Y, Hertzmark E, Yuan C, Liu G, Stampfer MJ, Rimm EB, Hu FB, Wang M, Sun Q. Weight Change, Lifestyle, and Mortality in Patients With Type 2 Diabetes. J Clin Endocrinol Metab 2022; 107:627-637. [PMID: 34741524 PMCID: PMC9006974 DOI: 10.1210/clinem/dgab800] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT The association between weight change and mortality among participants with incident type 2 diabetes (T2D) was unclear. OBJECTIVE To examine above association and evaluate the impact of lifestyle on it. METHODS This prospective analysis included 11 262 incident T2D patients from Nurses' Health Study and Health Professionals Follow-up Study. We assessed weight change bracketing T2D diagnosis in relation to mortality. We also examined potential effect modification by a healthy lifestyle consisting of high-quality diet, regular physical activity, nonsmoking status, and moderate alcohol consumption. RESULTS On average, T2D patients lost 2.3 kg during a 2-year time window spanning the T2D diagnosis, and body weight increased afterwards following a trajectory similar to that of nondiabetics. Compared with patients with a stable weight, T2D patients who lost ≥10% body weight had a 21% (95% CI, 9%-35%) increased all-cause mortality. Lifestyle significantly modified these associations: the hazard ratios (95% CIs) of all-cause mortality comparing ≥10% weight loss with stable weight were 1.63 (1.26-2.09) among participants with a deteriorated lifestyle, 1.27 (1.11-1.46) for a stable lifestyle, and 1.02 (0.81-1.27) for an improved lifestyle (Pinteraction < 0.001). Major weight loss was associated with increased cause-specific mortality and similar effect modifications by lifestyle were also observed. CONCLUSION Significant weight loss upon T2D incidence was associated with increased mortality, although improved lifestyle quality abolished these associations. These results highlight the role of adopting a healthy lifestyle for newly diagnosed T2D patients, especially among those who might lose weight unintentionally, and improving long-term survival.
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Affiliation(s)
| | | | - Ellen Hertzmark
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Chen Yuan
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Gang Liu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meir J Stampfer
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Molin Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Qi Sun
- Correspondence: Qi Sun, MD, ScD, Department of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Ave., Boston, MA 02115, USA.
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Javaid N, Iqbal AZ, Hameeda M. NUTRITIONAL MANAGEMENT OF LIVER CIRRHOSIS AND ITS COMPLICATIONS IN HOSPITALIZED PATIENTS. ARQUIVOS DE GASTROENTEROLOGIA 2021; 58:246-252. [PMID: 34287534 DOI: 10.1590/s0004-2803.202100000-43] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 12/30/2020] [Indexed: 11/21/2022]
Abstract
BACKGROUND Cirrhosis is a chronic and progressive liver disease that occurs from prolonged hepatocellular injury. Malnutrition causes complications in cirrhosis patients that worsen the condition to liver failure. Both are closely linked and increase the chances of morbidity and mortality. Regular nutritional screening and monitoring is prime concern for such patients including comprehensive dietary history, laboratory tests, and evaluation of muscle loss and strength capabilities to determine the degree of frailty. For efficient assessment of liver cirrhosis patients Subjective Global Assessment has been used worldwide. The nutritional objectives for such individuals should be to regain liver functions, to prevent complications associated, and to overcome nutritional deficiencies causing malnutrition. METHODS We conducted a literature review using PubMed, Google Scholar and Science Direct for this purpose, a total of 130 articles were reviewed out of which 80 (from the past 5 years) including originally published research, review articles and abstracts were also included. Exclusion criteria of the selected studies was year of publication, irrelevancy and animal studies based on the purpose of current study. The aim of this study was to check nutritional management in patients having complications of liver cirrhosis. RESULTS According to the guidelines, for the conservation of normal nutritional status of the malnourished patients', energy should be provided 35 kcal/kg/day while to prevent hypoalbuminemia and maintain the protein stores in the body, 1.5 g/kg/day protein has been recommended. Carbohydrates and fats for cirrhosis patients are recommended 50% to 60% and 10% to 20% of the total dietary intake respectively. CONCLUSION Initial identification and prevention of malnutrition have the probability to lead to better health outcomes, prevention of complications of the disease, and improving quality of life.
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Affiliation(s)
- Nida Javaid
- University Institute of Diet and Nutritional Sciences, University of Lahore, Lahore, Pakistan
| | - Ayesha Zafar Iqbal
- College of Allied Health Sciences, Akhtar Saeed Medical and Dental College, Lahore, Pakistan
| | - Maryam Hameeda
- Department of Food Science and Human Nutrition, University of Veterinary and Animal Sciences, Lahore, Pakistan
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7
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Cawthon PM, Blackwell T, Cummings SR, Orwoll ES, Duchowny KA, Kado DM, Stone KL, Ensrud KE, Cauley JA, Evans WJ. Muscle Mass Assessed by the D3-Creatine Dilution Method and Incident Self-reported Disability and Mortality in a Prospective Observational Study of Community-Dwelling Older Men. J Gerontol A Biol Sci Med Sci 2021; 76:123-130. [PMID: 32442245 DOI: 10.1093/gerona/glaa111] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2019] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Whether low muscle mass is a risk factor for disability and mortality is unclear. Associations between approximations of muscle mass (including lean mass from dual-energy x-ray absorptiometry [DXA]), and these outcomes are inconsistent. METHODS Muscle mass measured by deuterated creatine (D3Cr) dilution and appendicular lean mass (ALM, by DXA) were assessed at the Year 14 Visit (2014-2016) of the prospective Osteoporotic Fractures in Men study (N = 1,425, age 77-101 years). Disability in activities of daily living (ADLs), instrumental ADLs, and mobility tasks was self-reported at the Year 14 visit and 2.2 years later; deaths were centrally adjudicated over 3.3 years. Relative risks and 95% confidence intervals (CI) were estimated per standard deviation decrement with negative binomial, logistic regression, or proportional hazards models. RESULTS In age- and clinical center-adjusted models, the relative risks per decrement in D3Cr muscle mass/wgt was 1.9 (95% CI: 1.2, 3.1) for incident self-reported ADL disability; 1.5 (95% CI: 1.3, 1.9) for instrumental ADL disability; and 1.8 (95% CI: 1.5, 2.2) for mobility disability. In age-, clinical center-, and weight-adjusted models, the relative risks per decrement in D3Cr muscle mass was 1.8 (95% CI: 1.5, 2.2) for all-cause mortality. In contrast, lower DXA ALM was not associated with any outcome. Associations of D3Cr muscle mass with these outcomes were slightly attenuated after adjustment for confounding factors and the potentially mediating effects of strength and physical performance. CONCLUSIONS Low muscle mass as measured by D3Cr dilution is a novel risk factor for clinically meaningful outcomes in older men.
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Affiliation(s)
- Peggy M Cawthon
- Research Institute, California Pacific Medical Center, San Francisco.,Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Terri Blackwell
- Research Institute, California Pacific Medical Center, San Francisco
| | - Steven R Cummings
- Research Institute, California Pacific Medical Center, San Francisco.,Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Eric S Orwoll
- Department of Medicine, Oregon Health and Science University, Portland
| | - Kate A Duchowny
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Deborah M Kado
- Department of Family Medicine and Public Health, University of California, San Diego.,Department of Internal Medicine, University of California, San Diego
| | - Katie L Stone
- Research Institute, California Pacific Medical Center, San Francisco
| | - Kristine E Ensrud
- Center for Chronic Disease Outcomes Research, Minneapolis VA Health Care System, Minnesota.,Division of Epidemiology and Community Health, University of Minnesota, Minneapolis
| | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania
| | - William J Evans
- Department of Nutrition Sciences, University of California, Berkeley.,Department of Medicine, Duke University, Durham, North Carolina
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8
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Lenchik L, Barnard R, Boutin RD, Kritchevsky SB, Chen H, Tan J, Cawthon PM, Weaver AA, Hsu FC. Automated Muscle Measurement on Chest CT Predicts All-Cause Mortality in Older Adults From the National Lung Screening Trial. J Gerontol A Biol Sci Med Sci 2021; 76:277-285. [PMID: 32504466 PMCID: PMC7812435 DOI: 10.1093/gerona/glaa141] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Muscle metrics derived from computed tomography (CT) are associated with adverse health events in older persons, but obtaining these metrics using current methods is not practical for large datasets. We developed a fully automated method for muscle measurement on CT images. This study aimed to determine the relationship between muscle measurements on CT with survival in a large multicenter trial of older adults. METHOD The relationship between baseline paraspinous skeletal muscle area (SMA) and skeletal muscle density (SMD) and survival over 6 years was determined in 6,803 men and 4,558 women (baseline age: 60-69 years) in the National Lung Screening Trial (NLST). The automated machine learning pipeline selected appropriate CT series, chose a single image at T12, and segmented left paraspinous muscle, recording cross-sectional area and density. Associations between SMA and SMD with all-cause mortality were determined using sex-stratified Cox proportional hazards models, adjusted for age, race, height, weight, pack-years of smoking, and presence of diabetes, chronic lung disease, cardiovascular disease, and cancer at enrollment. RESULTS After a mean 6.44 ± 1.06 years of follow-up, 635 (9.33%) men and 265 (5.81%) women died. In men, higher SMA and SMD were associated with a lower risk of all-cause mortality, in fully adjusted models. A one-unit standard deviation increase was associated with a hazard ratio (HR) = 0.85 (95% confidence interval [CI] = 0.79, 0.91; p < .001) for SMA and HR = 0.91 (95% CI = 0.84, 0.98; p = .012) for SMD. In women, the associations did not reach significance. CONCLUSION Higher paraspinous SMA and SMD, automatically derived from CT exams, were associated with better survival in a large multicenter cohort of community-dwelling older men.
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Affiliation(s)
- Leon Lenchik
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Ryan Barnard
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Robert D Boutin
- Department of Radiology, Stanford University Medical Center, California
| | - Stephen B Kritchevsky
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Haiying Chen
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Josh Tan
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Peggy M Cawthon
- California Pacific Medical Center Research Institute, San Francisco
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
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Larsen B, Bellettiere J, Allison M, McClelland RL, Miljkovic I, Vella CA, Ouyang P, De-Guzman KR, Criqui M, Unkart J. Muscle area and density and risk of all-cause mortality: The Multi-Ethnic Study of Atherosclerosis. Metabolism 2020; 111:154321. [PMID: 32712219 PMCID: PMC8062068 DOI: 10.1016/j.metabol.2020.154321] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 06/29/2020] [Accepted: 07/16/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Lean muscle plays critical roles in physical functioning and metabolism. However, little is known regarding associations between muscle and mortality in adults. OBJECTIVE The purpose was to evaluate associations between abdominal muscle quantity (area) and quality (density) with risk of all-cause mortality in a diverse cohort free of cardiovascular disease. DESIGN Data were taken from the Abdominal Body Composition, Inflammation, and Cardiovascular Disease ancillary study of the Multi-Ethnic Study of Atherosclerosis prospective cohort study. Participants were adults (45-85 years) free of extant cardiovascular disease, and of Hispanic, African American, Chinese, or Caucasian descent. Of the original 6814 MESA participants, a random, representative sample (n = 1974) participated in the ancillary body composition study. Abdominal muscle area and density were measured from computed tomography scans spanning L2-L4. Muscle density was measured as attenuation in Hounsfield units, and area was quantified as cm2. Gender-stratified cox proportional hazard models assessed the risk of all-cause mortality across gender-specific quartiles of muscle area and density adjusting for confounders, with area and density entered simultaneously. RESULTS At baseline, the mean age for men (n = 946) and women (n = 955) was 61.5 and 62.5 years and median follow-up time was 10.6 and 10.9 years, respectively. Muscle density was inversely associated with mortality, with the highest quartile of density showing a 73% reduction in risk for men (HR = 0.27, 95% CI = 0.14-0.51; p-trend<0.001) and 57% reduction for women (HR = 0.43, 95% CI = 0.18-1.01; p-trend = 0.04) compared to the lowest quartile when adjusting for mortality risk factors, lifestyle, BMI and visceral fat. There was no association between muscle area and all-cause mortality for men (p-trend = 0.58) or women (p-trend = 0.47). CONCLUSIONS Greater abdominal muscle density, but not muscle area, is associated with markedly lower risk of all-cause mortality across a decade of follow up. Muscle quality may be a powerful predictor of mortality in community dwelling adults.
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Affiliation(s)
- Britta Larsen
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States of America.
| | - John Bellettiere
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States of America
| | - Matthew Allison
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States of America
| | - Robyn L McClelland
- Department of Biostatistics, University of Washington, Seattle, WA, United States of America
| | - Iva Miljkovic
- Department of Epidemiology, University of Pittsburg, Pittsburg, PA, United States of America
| | - Chantal A Vella
- Department of Movement Sciences, University of Idaho, Boise, ID, United States of America
| | - Pamela Ouyang
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States of America
| | - Kimberly R De-Guzman
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States of America
| | - Michael Criqui
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States of America
| | - Jonathan Unkart
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego, CA, United States of America
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10
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Correa-de-Araujo R, Addison O, Miljkovic I, Goodpaster BH, Bergman BC, Clark RV, Elena JW, Esser KA, Ferrucci L, Harris-Love MO, Kritchevsky SB, Lorbergs A, Shepherd JA, Shulman GI, Rosen CJ. Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging. Front Physiol 2020; 11:963. [PMID: 32903666 DOI: 10.3389/fphys.2020.00963/bibtex] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 07/15/2020] [Indexed: 05/26/2023] Open
Abstract
Skeletal muscle fat infiltration (known as myosteatosis) is an ectopic fat depot that increases with aging and is recognized to negatively correlate with muscle mass, strength, and mobility and disrupt metabolism (insulin resistance, diabetes). An interdisciplinary workshop convened by the National Institute on Aging Division of Geriatrics and Clinical Gerontology on September 2018, discussed myosteatosis in the context of skeletal muscle function deficit (SMFD). Its purpose was to gain a better understanding of the roles of myosteatosis in aging muscles and metabolic disease, particularly its potential determinants and clinical consequences, and ways of properly assessing it. Special attention was given to functional status and standardization of measures of body composition (including the value of D3-creatine dilution method) and imaging approaches [including ways to better use dual-energy X-ray absorptiometry (DXA) through the shape and appearance modeling] to assess lean mass, sarcopenia, and myosteatosis. The workshop convened innovative new areas of scientific relevance to light such as the effect of circadian rhythms and clock disruption in skeletal muscle structure, function, metabolism, and potential contribution to increased myosteatosis. A muscle-bone interaction perspective compared mechanisms associated with myosteatosis and bone marrow adiposity. Potential preventive and therapeutic approaches highlighted ongoing work on physical activity, myostatin treatment, and calorie restriction. Myosteatosis' impact on cancer survivors raised new possibilities to identify its role and to engage in cross-disciplinary collaboration. A wide range of research opportunities and challenges in planning for the most appropriate study design, interpretation, and translation of findings into clinical practice were discussed and are presented here.
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Affiliation(s)
- Rosaly Correa-de-Araujo
- Division of Geriatrics and Clinical Gerontology, National Institute on Aging, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, United States
| | - Odessa Addison
- Department of Veterans Affairs and Veterans Affairs Medical Center Baltimore, Geriatric Research, Education and Clinical Center (GRECC), Baltimore, MD, United States
- Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Iva Miljkovic
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Bret H Goodpaster
- AdventHealth Translational Research Institute, Orlando, FL, United States
| | - Bryan C Bergman
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Richard V Clark
- United States Anti-Doping Agency, Colorado Springs, CO, United States
| | - Joanne W Elena
- National Cancer Institute, National Institutes of Health, U.S Department of Health and Human Services, Bethesda, MD, United States
| | - Karyn A Esser
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, United States
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, United States
| | - Michael O Harris-Love
- Physical Therapy Program, Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Eastern Colorado VA Geriatric Research, Education, and Clinical Center, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States
| | - Steve B Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention Wake Forest School of Medicine, Winston-Salem, NC, United States
| | | | - John A Shepherd
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States
| | - Gerald I Shulman
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Clifford J Rosen
- The Maine Medical Center Research Institute, Scarborough, ME, United States
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11
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Correa-de-Araujo R, Addison O, Miljkovic I, Goodpaster BH, Bergman BC, Clark RV, Elena JW, Esser KA, Ferrucci L, Harris-Love MO, Kritchevsky SB, Lorbergs A, Shepherd JA, Shulman GI, Rosen CJ. Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging. Front Physiol 2020; 11:963. [PMID: 32903666 PMCID: PMC7438777 DOI: 10.3389/fphys.2020.00963] [Citation(s) in RCA: 191] [Impact Index Per Article: 47.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 07/15/2020] [Indexed: 12/15/2022] Open
Abstract
Skeletal muscle fat infiltration (known as myosteatosis) is an ectopic fat depot that increases with aging and is recognized to negatively correlate with muscle mass, strength, and mobility and disrupt metabolism (insulin resistance, diabetes). An interdisciplinary workshop convened by the National Institute on Aging Division of Geriatrics and Clinical Gerontology on September 2018, discussed myosteatosis in the context of skeletal muscle function deficit (SMFD). Its purpose was to gain a better understanding of the roles of myosteatosis in aging muscles and metabolic disease, particularly its potential determinants and clinical consequences, and ways of properly assessing it. Special attention was given to functional status and standardization of measures of body composition (including the value of D3-creatine dilution method) and imaging approaches [including ways to better use dual-energy X-ray absorptiometry (DXA) through the shape and appearance modeling] to assess lean mass, sarcopenia, and myosteatosis. The workshop convened innovative new areas of scientific relevance to light such as the effect of circadian rhythms and clock disruption in skeletal muscle structure, function, metabolism, and potential contribution to increased myosteatosis. A muscle-bone interaction perspective compared mechanisms associated with myosteatosis and bone marrow adiposity. Potential preventive and therapeutic approaches highlighted ongoing work on physical activity, myostatin treatment, and calorie restriction. Myosteatosis’ impact on cancer survivors raised new possibilities to identify its role and to engage in cross-disciplinary collaboration. A wide range of research opportunities and challenges in planning for the most appropriate study design, interpretation, and translation of findings into clinical practice were discussed and are presented here.
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Affiliation(s)
- Rosaly Correa-de-Araujo
- Division of Geriatrics and Clinical Gerontology, National Institute on Aging, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, United States
| | - Odessa Addison
- Department of Veterans Affairs and Veterans Affairs Medical Center Baltimore, Geriatric Research, Education and Clinical Center (GRECC), Baltimore, MD, United States.,Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Iva Miljkovic
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Bret H Goodpaster
- AdventHealth Translational Research Institute, Orlando, FL, United States
| | - Bryan C Bergman
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Richard V Clark
- United States Anti-Doping Agency, Colorado Springs, CO, United States
| | - Joanne W Elena
- National Cancer Institute, National Institutes of Health, U.S Department of Health and Human Services, Bethesda, MD, United States
| | - Karyn A Esser
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, United States
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, MD, United States
| | - Michael O Harris-Love
- Physical Therapy Program, Department of Physical Medicine and Rehabilitation, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.,Eastern Colorado VA Geriatric Research, Education, and Clinical Center, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, CO, United States
| | - Steve B Kritchevsky
- Sticht Center for Healthy Aging and Alzheimer's Prevention Wake Forest School of Medicine, Winston-Salem, NC, United States
| | | | - John A Shepherd
- Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States
| | - Gerald I Shulman
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Clifford J Rosen
- The Maine Medical Center Research Institute, Scarborough, ME, United States
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12
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Lenchik L, Lenoir KM, Tan J, Boutin RD, Callahan KE, Kritchevsky SB, Wells BJ. Opportunistic Measurement of Skeletal Muscle Size and Muscle Attenuation on Computed Tomography Predicts 1-Year Mortality in Medicare Patients. J Gerontol A Biol Sci Med Sci 2020; 74:1063-1069. [PMID: 30124775 DOI: 10.1093/gerona/gly183] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Opportunistic assessment of sarcopenia on CT examinations is becoming increasingly common. This study aimed to determine relationships between CT-measured skeletal muscle size and attenuation with 1-year risk of mortality in older adults enrolled in a Medicare Shared Savings Program (MSSP). METHODS Relationships between skeletal muscle metrics and all-cause mortality were determined in 436 participants (52% women, mean age 75 years) who had abdominopelvic CT examinations. On CT images, skeletal muscles were segmented at the level of L3 using two methods: (a) all muscles with a threshold of -29 to +150 Hounsfield units (HU), using a dedicated segmentation software, (b) left psoas muscle using a free-hand region of interest tool on a clinical workstation. Muscle cross-sectional area (CSA) and muscle attenuation were measured. Cox regression models were fit to determine the associations between muscle metrics and mortality, adjusting for age, sex, race, smoking status, cancer diagnosis, and Charlson comorbidity index. RESULTS Within 1 year of follow-up, 20.6% (90/436) participants died. In the fully-adjusted model, higher muscle index and muscle attenuation were associated with lower risk of mortality. A one-unit standard deviation (SD) increase was associated with a HR = 0.69 (95% CI = 0.49, 0.96; p = .03) for total muscle index, HR = 0.67 (95% CI = 0.49, 0.90; p < .01) for psoas muscle index, HR = 0.54 (95% CI = 0.40, 0.74; p < .01) for total muscle attenuation, and HR = 0.79 (95% CI = 0.66, 0.95; p = .01) for psoas muscle attenuation. CONCLUSION In older adults, higher skeletal muscle index and muscle attenuation on abdominopelvic CT examinations were associated with better survival, after adjusting for multiple risk factors.
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Affiliation(s)
- Leon Lenchik
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Kristin M Lenoir
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Josh Tan
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Robert D Boutin
- Department of Radiology, University of California Davis School of Medicine, Sacramento
| | - Kathryn E Callahan
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Stephen B Kritchevsky
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Brian J Wells
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
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13
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Barnard R, Tan J, Roller B, Chiles C, Weaver AA, Boutin RD, Kritchevsky SB, Lenchik L. Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans. Acad Radiol 2019; 26:1686-1694. [PMID: 31326311 PMCID: PMC6878160 DOI: 10.1016/j.acra.2019.06.017] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 06/21/2019] [Accepted: 06/26/2019] [Indexed: 12/17/2022]
Abstract
RATIONALE AND OBJECTIVES To develop and evaluate an automated machine learning (ML) algorithm for segmenting the paraspinous muscles on chest computed tomography (CT) scans to evaluate for presence of sarcopenia. MATERIALS AND METHODS A convolutional neural network based on the U-Net architecture was trained to perform muscle segmentation on a dataset of 1875 single slice CT images and was tested on 209 CT images of participants in the National Lung Screening Trial. Low-dose, noncontrast CT examinations were obtained at 33 clinical sites, using scanners from four manufacturers. The study participants had a mean age of 71.6 years (range, 70-74 years). Ground truth was obtained by manually segmenting the left paraspinous muscle at the level of the T12 vertebra. Muscle cross-sectional area (CSA) and muscle attenuation (MA) were recorded. Comparison between the ML algorithm and ground truth measures of muscle CSA and MA were obtained using Dice similarity coefficients and Pearson correlations. RESULTS Compared to ground truth segmentation, the ML algorithm achieved median (standard deviation) Dice scores of 0.94 (0.04) in the test set. Mean (SD) muscle CSA was 14.3 (3.6) cm2 for ground truth and 13.7 (3.5) cm2 for ML segmentation. Mean (SD) MA was 41.6 (7.6) Hounsfield units (HU) for ground truth and 43.5 (7.9) HU for ML segmentation. There was high correlation between ML algorithm and ground truth for muscle CSA (r2 = 0.86; p < 0.0001) and MA (r2 = 0.95; p < 0.0001). CONCLUSION The ML algorithm for measurement of paraspinous muscles compared favorably to manual ground truth measurements in the NLST. The algorithm generalized well to a heterogeneous set of low-dose CT images and may be capable of automated quantification of muscle metrics to screen for sarcopenia on routine chest CT examinations.
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Affiliation(s)
- Ryan Barnard
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Josh Tan
- Department of Radiology, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157
| | - Brandon Roller
- Department of Radiology, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157
| | - Caroline Chiles
- Department of Radiology, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157
| | - Ashley A Weaver
- Department of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Robert D Boutin
- Department of Radiology, University of California Davis School of Medicine, Sacramento, California
| | - Stephen B Kritchevsky
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Leon Lenchik
- Department of Radiology, Wake Forest School of Medicine, Medical Center Blvd, Winston-Salem, NC 27157.
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14
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McNamara KP, Greene KA, Tooze JA, Dang J, Khattab K, Lenchik L, Weaver AA. Neck Muscle Changes Following Long-Duration Spaceflight. Front Physiol 2019; 10:1115. [PMID: 31572205 PMCID: PMC6753191 DOI: 10.3389/fphys.2019.01115] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 08/12/2019] [Indexed: 12/25/2022] Open
Abstract
The effects of long-duration spaceflight on crewmember neck musculature have not been adequately studied. The purpose of this study was to evaluate the changes in the neck musculature on pre-flight and post-flight magnetic resonance imaging (MRI) examinations of six crewmembers on 4- to 6-month missions equipped with the advanced resistive exercise device (aRED). The MRI images were resliced to remove variations in spinal curvature, the cross-sectional area (CSA), and muscle fat infiltration (MFI) of neck musculature at the C1-C2, C4-C5, C7-T1, and T1-T2 intervertebral disc levels were measured bilaterally. Percent changes in the neck muscle CSA and fatty infiltration following spaceflight were calculated, and mixed models were used to assess significance of these changes. Crewmembers on missions equipped with the aRED experienced an average 25.1% increase in CSA for the trapezius muscle at C6-C7, an average 11.5% increase in CSA for the semispinalis capitis muscle at C4-C5, an average 9.0% increase in CSA for the sternocleidomastoid muscle at C4-C5, and an average 23.1% increase in CSA for the rhomboid minor at T1-T2. There were no significant changes in the CSA of the levator scapulae, splenius capitis, rectus capitis posterior major, scalenus anterior, scalenus posterior, scalenus medius, longissimus capitis, or obliquus capitis inferior muscles at the locations measured. None of the muscles analyzed experienced statistically significant changes in fatty infiltration with spaceflight. Our study indicates that long-duration spaceflight conditions are associated with preservation of CSA in most neck muscles and significant increases in the CSAs of the trapezius, semispinalis capitis, sternocleidomastoid, and rhomboid minor muscles. This may indicate that cervical muscles are not subjected to the same degradative effects microgravity imparts on the majority of muscles.
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Affiliation(s)
- Kyle P McNamara
- Department of Biomedical Engineering, Center of Injury Biomechanics, Wake Forest School of Medicine, Winston-Salem, NC, United States.,School of Biomedical Engineering and Sciences (SBES), Virginia Tech - Wake Forest University, Winston-Salem, NC, United States
| | - Katelyn A Greene
- Department of Biomedical Engineering, Center of Injury Biomechanics, Wake Forest School of Medicine, Winston-Salem, NC, United States.,School of Biomedical Engineering and Sciences (SBES), Virginia Tech - Wake Forest University, Winston-Salem, NC, United States
| | - Janet A Tooze
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Jade Dang
- Department of Biomedical Engineering, Center of Injury Biomechanics, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Karim Khattab
- Department of Biomedical Engineering, Center of Injury Biomechanics, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Leon Lenchik
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Ashley A Weaver
- Department of Biomedical Engineering, Center of Injury Biomechanics, Wake Forest School of Medicine, Winston-Salem, NC, United States.,School of Biomedical Engineering and Sciences (SBES), Virginia Tech - Wake Forest University, Winston-Salem, NC, United States
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15
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Brandt E, Tengberg LT, Bay-Nielsen M. Sarcopenia predicts 90-day mortality in elderly patients undergoing emergency abdominal surgery. Abdom Radiol (NY) 2019; 44:1155-1160. [PMID: 30600384 DOI: 10.1007/s00261-018-1870-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
PURPOSE Image-based measurement of sarcopenia is an established predictor of a decreased outcome for a large variety of surgical procedures. Sarcopenia in elderly patients undergoing emergency abdominal surgery has not been well studied. This study aims to investigate the association between the total psoas area (TPA) and postoperative mortality after 90 days in a group of elderly emergency laparotomy patients. METHODS We retrospectively reviewed the emergency CT-scans of 150 elderly patients from a consecutive cohort undergoing emergency abdominal surgery at our surgical center. TPA was measured manually at the level of L3 and indexed to patient height. Sarcopenia was defined as having a TPA index below the first quartile for gender in the cohort. Other collected variables were age, vital status/date of death, ASA-score, surgical procedure, and WHO performance score. RESULTS Overall 90-day mortality was 42.7%. Sarcopenic patients had a higher 90-day mortality (60.5%) than non-sarcopenic patients (36.6%), corresponding to an odds ratio of 2.66 (95% confidence interval 1.2-5.7, p = 0.01). Sarcopenic patients had an increased mortality compared with non-sarcopenic patients (p = 0.0009, Log-rank test), with a clear separation of the two groups within 30 days postoperatively. In a multivariate logistic regression model, with age, ASA-score, and WHO performance score as covariates, sarcopenia was independently associated with 90-day mortality. CONCLUSION Manual measurement of TPA on an abdominal CT-scan is a relevant risk factor for postoperative mortality in elderly patients undergoing high-risk emergency abdominal surgery. Incorporation of sarcopenia in postoperative risk-prediction models in emergency abdominal surgery should be considered.
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16
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Lenchik L, Weaver AA, Ward RJ, Boone JM, Boutin RD. Opportunistic Screening for Osteoporosis Using Computed Tomography: State of the Art and Argument for Paradigm Shift. Curr Rheumatol Rep 2018; 20:74. [PMID: 30317448 DOI: 10.1007/s11926-018-0784-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Osteoporosis is disproportionately common in rheumatology patients. For the past three decades, the diagnosis of osteoporosis has benefited from well-established practice guidelines that emphasized the use of dual x-ray absorptiometry (DXA). Despite these guidelines and the wide availability of DXA, approximately two thirds of eligible patients do not undergo testing. One strategy to improve osteoporosis testing is to employ computed tomography (CT) examinations obtained as part of routine patient care to "opportunistically" screen for osteoporosis, without additional cost or radiation exposure to patients. This review examines the role of opportunistic CT in the evaluation of osteoporosis. RECENT FINDINGS Recent evidence suggests that opportunistic measurement of bone attenuation (radiodensity) using CT has sensitivity comparable to DXA. More importantly, such an approach has been shown to predict osteoporotic fractures. The paradigm shift of using CTs obtained for other reasons to opportunistically screen for osteoporosis promises to substantially improve patient care.
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Affiliation(s)
- Leon Lenchik
- Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA.
| | - Ashley A Weaver
- Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157, USA
| | - Robert J Ward
- Tufts University School of Medicine, 800 Washington Street, Boston, MA, 02111, USA
| | - John M Boone
- University of California Davis Medical Center, 4860 Y Street, Suite 3100, Sacramento, CA, 95817, USA
| | - Robert D Boutin
- University of California Davis School of Medicine, 4860 Y Street, Suite 3100, Sacramento, CA, 95817, USA
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