1
|
Neeland IJ, Linge J, Birkenfeld AL. Changes in lean body mass with glucagon-like peptide-1-based therapies and mitigation strategies. Diabetes Obes Metab 2024; 26 Suppl 4:16-27. [PMID: 38937282 DOI: 10.1111/dom.15728] [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: 04/19/2024] [Revised: 06/03/2024] [Accepted: 06/03/2024] [Indexed: 06/29/2024]
Abstract
Weight loss induced by glucagon-like peptide-1 receptor agonists (GLP-1RAs) and dual glucagon-like peptide-1 receptor (GLP-1R)/glucose-dependent insulinotropic polypeptide receptor agonists is coming closer to the magnitudes achieved with surgery. However, with greater weight loss there is concern about potential side effects on muscle quantity (mass), health and function. There is heterogeneity in the reported effects of GLP-1-based therapies on lean mass changes in clinical trials: in some studies, reductions in lean mass range between 40% and 60% as a proportion of total weight lost, while other studies show lean mass reductions of approximately 15% or less of total weight lost. There are several potential reasons underlying this heterogeneity, including population, drug-specific/molecular, and comorbidity effects. Furthermore, changes in lean mass may not always reflect changes in muscle mass as the former measure includes not only muscle but also organs, bone, fluids, and water in fat tissue. Based on contemporary evidence with the addition of magnetic resonance imaging-based studies, skeletal muscle changes with GLP-1RA treatments appear to be adaptive: reductions in muscle volume seem to be commensurate with what is expected given ageing, disease status, and weight loss achieved, and the improvement in insulin sensitivity and muscle fat infiltration likely contributes to an adaptive process with improved muscle quality, lowering the probability for loss in strength and function. Nevertheless, factors such as older age and severity of disease may influence the selection of appropriate candidates for these therapies due to risk of sarcopenia. To further improve muscle health during weight loss, several pharmacological treatments to maintain or improve muscle mass designed in combination with GLP-1-based therapies are under development. Future research on GLP-1-based and other therapies designed for weight loss should focus on more accurate and meaningful assessments of muscle mass, composition, as well as function, mobility or strength, to better define their impact on muscle health for the substantial number of patients who will likely be taking these medications well into the future.
Collapse
Affiliation(s)
- Ian J Neeland
- Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Division of Cardiovascular Medicine, University Hospitals Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA
| | - Jennifer Linge
- AMRA Medical AB, Linköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the Eberhard Karls University Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Diabetology, Endocrinology, and Nephrology, University Clinic Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
- Department of Diabetes, Life Sciences & Medicine Cardiovascular Medicine & Sciences, Kings College London, London, UK
| |
Collapse
|
2
|
Lim SY, Park JS, Cho YJ, Lee JH, Lee CT, Lee YJ. Association of baseline muscle mass with functional outcomes in intensive care unit survivors: A single-center retrospective cohort study in Korea. Medicine (Baltimore) 2024; 103:e39156. [PMID: 39121260 PMCID: PMC11315508 DOI: 10.1097/md.0000000000039156] [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: 11/01/2023] [Accepted: 07/10/2024] [Indexed: 08/11/2024] Open
Abstract
In critical care settings, ultrasound (US) of the quadriceps muscle and Bioelectrical Impedance Analysis (BIA) are noninvasive and widely available tools to evaluate muscle mass. We studied whether baseline muscle mass affects physical function in intensive care unit (ICU) survivors after discharge. This retrospective review of a prospective cohort enrolled 30 patients admitted to the medical ICU between April 2016 and June 2018. On ICU admission, quadriceps muscle thickness and skeletal muscle mass were measured using US and BIA, respectively. Muscle strength and physical function were measured using handgrip dynamometry, the 6-min walk test, and the Barthel index questionnaire survey during every clinic visit at 1, 3, 6, and 12 months after hospital discharge. Skeletal muscle mass at ICU admission was statistically correlated with the 6-min walk distance (6MWD) and Barthel index score. The segmental lean mass of the right arm was also positively correlated with handgrip muscle strength at 6 months after discharge. Likewise, the correlation between quadriceps muscle thickness at ICU admission and 6MWD at 6 months after discharge was positive and statistically significant. Multivariate regression analysis showed that skeletal muscle mass was associated with a reduced 6MWD, but the length of ICU stay was not. The segmental lean mass of the right arm also showed a significant association with handgrip strength after discharge. Low muscle mass on ICU admission is associated with reduced muscle strength, causing impaired physical function after hospital discharge in ICU survivors.
Collapse
Affiliation(s)
- Sung Yoon Lim
- Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea
| | - Jong Sun Park
- Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea
| | - Young-Jae Cho
- Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea
| | - Jae Ho Lee
- Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea
| | - Choon-Taek Lee
- Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea
| | - Yeon Joo Lee
- Department of Internal Medicine, Division of Pulmonology and Critical Care Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea
| |
Collapse
|
3
|
Liu FP, Guo MJ, Yang Q, Li YY, Wang YG, Zhang M. Myosteatosis is associated with coronary artery calcification in patients with type 2 diabetes. World J Diabetes 2024; 15:429-439. [PMID: 38591084 PMCID: PMC10999038 DOI: 10.4239/wjd.v15.i3.429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 12/19/2023] [Accepted: 02/20/2024] [Indexed: 03/15/2024] Open
Abstract
BACKGROUND Myosteatosis, rather than low muscle mass, is the primary etiologic factor of sarcopenia in patients with type 2 diabetes mellitus (T2DM). Myosteatosis may lead to a series of metabolic dysfunctions, such as insulin resistance, systematic inflammation, and oxidative stress, and all these dysfunctions are closely associated with the acceleration of T2DM and atherosclerosis. AIM To investigate the association between myosteatosis and coronary artery calcification (CAC) in patients with T2DM. METHODS Patients with T2DM, who had not experienced major cardiovascular events and had undergone both abdominal and thoracic computed tomography (CT) scans, were included. The mean skeletal muscle attenuation was assessed using abdominal CT images at the L3 level. The CAC score was determined from thoracic CT images using the Agatston scoring method. Myosteatosis was diagnosed according to Martin's criteria. Severe CAC (SCAC) was defined when the CAC score exceeded 300. Logistic regression and decision tree analyses were performed. RESULTS A total of 652 patients with T2DM were enrolled. Among them, 167 (25.6%) patients had SCAC. Logistic regression analysis demonstrated that myosteatosis, age, duration of diabetes, cigarette smoking, and alcohol consumption were independent risk factors of SCAC. Myosteatosis was significantly associated with an increased risk of SCAC (OR = 2.381, P = 0.003). The association between myosteatosis and SCAC was significant in the younger patients (OR = 2.672, 95%CI: 1.477-4.834, P = 0.002), but not the older patients (OR = 1.456, 95%CI: 0.863-2.455, P = 0.188), and was more prominent in the population with lower risks of atherosclerosis. The decision tree analyses prioritized older age as the primary variable for SCAC. In older patients, cigarette smoking was the main contributing factor for SCAC, while in younger patients, it was myosteatosis. CONCLUSION Myosteatosis is a novel risk factor for atherosclerosis in patients with T2DM, especially in the population with younger ages and fewer traditional risk factors.
Collapse
Affiliation(s)
- Fu-Peng Liu
- The Affiliated Hospital of Medical College Qingdao University, Qingdao University, Qingdao 266071, Shandong Province, China
- Department of Endocrinology, The Affiliated Hospital of Jining Medical University, Jining 272029, Shandong Province, China
| | - Mu-Jie Guo
- Department of Medical Imaging, The Affiliated Hospital of Jining Medical University, Jining 272029, Shandong Province, China
| | - Qing Yang
- Department of Clinical Nutrition, The Affiliated Hospital of Jining Medical University, Jining 272029, Shandong Province, China
| | - Yan-Ying Li
- Department of Endocrinology, The Affiliated Hospital of Jining Medical University, Jining 272029, Shandong Province, China
| | - Yan-Gang Wang
- Department of Endocrinology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China
| | - Mei Zhang
- Department of Endocrinology, The Affiliated Hospital of Jining Medical University, Jining 272029, Shandong Province, China
| |
Collapse
|
4
|
Brun A, Mougeot G, Denis P, Collin ML, Pouchin P, Montaurier C, Walrand S, Capel F, Gueugneau M. A new bio imagery user-friendly tool for automatic morphometry measurement on muscle cell cultures and histological sections. Sci Rep 2024; 14:3108. [PMID: 38326394 PMCID: PMC11269594 DOI: 10.1038/s41598-024-53658-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 02/03/2024] [Indexed: 02/09/2024] Open
Abstract
TRUEFAD (TRUE Fiber Atrophy Distinction) is a bioimagery user-friendly tool developed to allow consistent and automatic measurement of myotube diameter in vitro, muscle fiber size and type using rodents and human muscle biopsies. This TRUEFAD package was set up to standardize and dynamize muscle research via easy-to-obtain images run on an open-source plugin for FIJI. We showed here both the robustness and the performance of our pipelines to correctly segment muscle cells and fibers. We evaluated our pipeline on real experiment image sets and showed consistent reliability across images and conditions. TRUEFAD development makes possible systematical and rapid screening of substances impacting muscle morphology for helping scientists focus on their hypothesis rather than image analysis.
Collapse
Affiliation(s)
- Aurélien Brun
- UMR1019 Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Guillaume Mougeot
- iGReD CNRS, INSERM Université Clermont Auvergne, Clermont-Ferrand, France
| | - Philippe Denis
- UMR1019 Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Marie Laure Collin
- UMR1019 Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Pierre Pouchin
- iGReD CNRS, INSERM Université Clermont Auvergne, Clermont-Ferrand, France
| | - Christophe Montaurier
- UMR1019 Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Stéphane Walrand
- UMR1019 Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Frédéric Capel
- UMR1019 Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, Clermont-Ferrand, France.
| | - Marine Gueugneau
- UMR1019 Unité de Nutrition Humaine (UNH), INRAE, Université Clermont Auvergne, Clermont-Ferrand, France
| |
Collapse
|
5
|
Razzera EL, Milanez DSJ, Silva FM. Derivation of the Screening of Nutritional Risk in Intensive Care risk prediction score: A secondary analysis of a prospective cohort study. JPEN J Parenter Enteral Nutr 2024; 48:82-92. [PMID: 37855263 DOI: 10.1002/jpen.2569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/14/2023] [Accepted: 10/13/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND For patients who are critically ill, the recommended nutrition risk screening tools are the Nutrition Risk in the Critically Ill (NUTRIC) and the Nutritional Risk Screening 2002 (NRS-2002) have limitations. OBJECTIVE To develop a new screening tool, the Screening of Nutritional Risk in Intensive Care (SCREENIC score), and assess its predictive validity. METHODS A secondary analysis of a prospective cohort study was conducted. Variables from several nutritional screening and assessment tools were considered. The high nutrition risk cutoff point was defined using mNUTRIC as a reference. Predictive validity was evaluated using logistic regression and Cox regression. RESULTS The study included 450 patients (64 [54-71] years, 52.2% men). The SCREENIC score comprised six questions: (1) does the patient have ≥2 comorbidities (1.3 points); (2) was the patient hospitalized for ≥2 days before intensive care unit (ICU) admission (0.9 points); (3) does the patient have sepsis (1.0 point); (4) was the patient on mechanical ventilation upon ICU admission (1.2 points); (5) is the patient aged >65 years (1.2 points); and (6) does the patient exhibit signs of moderate/severe muscle mass loss according to the physical exam (0.6 points). The high nutrition risk cutoff point was set at 4.0. SCREENIC demonstrated moderate agreement (κ = 0.564) and high accuracy (0.896 [95% CI, 0.867-0.925]) with mNUTRIC. It predicted prolonged ICU (odds ratio [OR] = 1.81 [95% CI, 1.14-2.85]) and hospital stay (OR = 2.15 [95% CI, 1.37-3.38]). CONCLUSION The SCREENIC score comprises questions with variables that do not require nutrition history. Further evaluation of its applicability, reproducibility, and validity in guiding nutrition therapy is needed using large external cohorts.
Collapse
Affiliation(s)
- Elisa Loch Razzera
- Nutrition Department, Nutrition Science Graduate Program, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Danielle Silla Jobim Milanez
- Nutrition Department, Nutrition Science Graduate Program, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
| | - Flávia Moraes Silva
- Nutrition Department and Nutrition Science Graduate Program, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil
| |
Collapse
|
6
|
Sabatino A, Pacchiarini MC, Regolisti G, Ciuni A, Sverzellati N, Lesignoli M, Picetti E, Fiaccadori E, Di Mario F. The impact of muscle mass and myosteatosis on mortality in critically ill patients with Sars-Cov2-related pneumonia. Clin Nutr ESPEN 2023; 58:409-415. [PMID: 38057033 DOI: 10.1016/j.clnesp.2023.11.006] [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: 08/01/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND & AIMS Sars-Cov-2 pneumonia can lead to severe complications, requiring invasive mechanical ventilation and admission to the intensive care unit (ICU). Low muscle quantity and quality (the latter evaluated by the amount of ectopic fat infiltration in the muscle [myosteatosis]) at ICU admission are associated with worse outcomes in critically ill patients. The purpose of the present study is to assess muscle mass and myosteatosis of paravertebral skeletal muscle, in critically ill patients with Sars-Cov2 pneumonia and its association with mortality. METHODS We conducted a retrospective observational study in 110 critically ill patients with severe Sars-Cov-2 pneumonia that had a high - resolution chest Computerized Tomography (HR-CT) at ICU admission. We acquired CT images at the level of the thoracic 12 (T12) vertebral body and measured skeletal muscle area (SMA), intermuscular adipose tissue (IMAT), and low attenuation muscle area (LAMA). Patients were followed until ICU mortality or discharge. RESULTS Patients were 59.8 ± 8.1 years old, 77% were male. Seventy-nine percent of patients were considered at nutritional risk, and 22% were obese. Average Acute Physiology and Chronic Health Evaluation II (APACHE II) score was 17 ± 5.4, and the overall ICU mortality was 48,2% (53/110). At ICU admission, both parameters of myosteatosis were associated with higher mortality (IMAT [per 10% increase] HR: 2.01 (95% Confidence Interval [CI] 1.27 to 3.17), P = 0.003; LAMA HR [per 10% increase]: 1.53 (95% CI 1.10 to 2.13), P = 0.012). CONCLUSION Myosteatosis as assessed by CT scans plays a relevant role as a prognostic marker in critically ill patients with Sars-Cov2 severe pneumonia.
Collapse
Affiliation(s)
- Alice Sabatino
- Nephrology Unit, Parma University Hospital, Parma, Italy.
| | - Maria Chiara Pacchiarini
- Nephrology Unit, Parma University Hospital, Parma, Italy; Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Giuseppe Regolisti
- Department of Medicine and Surgery, University of Parma, Parma, Italy; UO Clinica e Immunologia Medica, Parma University Hospital, Parma, Italy
| | - Andrea Ciuni
- Department of Radiologic Sciences, Parma University Hospital, Parma, Italy
| | - Nicola Sverzellati
- Department of Medicine and Surgery, University of Parma, Parma, Italy; Department of Radiologic Sciences, Parma University Hospital, Parma, Italy
| | - Matteo Lesignoli
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Edoardo Picetti
- UOC Rianimazione 1, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Enrico Fiaccadori
- Nephrology Unit, Parma University Hospital, Parma, Italy; Department of Medicine and Surgery, University of Parma, Parma, Italy
| | | |
Collapse
|
7
|
Barahona-Fuentes G, Huerta Ojeda Á, Romero GL, Delgado-Floody P, Jerez-Mayorga D, Yeomans-Cabrera MM, Chirosa-Ríos LJ. Muscle Quality Index is inversely associated with psychosocial variables among Chilean adolescents. BMC Public Health 2023; 23:2104. [PMID: 37884950 PMCID: PMC10601194 DOI: 10.1186/s12889-023-16978-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023] Open
Abstract
A good muscle quality index (MQI) may have an inverse relationship with psychosocial variables of depression, anxiety, and stress in adolescents. Unfortunately, little scientific evidence has related MQI to psychosocial variables in this population. Therefore, this research aimed to determine the relationship between the MQI and psychosocial variables of depression, anxiety, and stress in Chilean adolescents. In this quantitative correlational design study, sixty adolescents participated voluntarily (mean ± standard deviation [SD]: age 15.11 ± 1.78 years). Anthropometric parameters, prehensile strength, MQI, and psychosocial variables were evaluated. The results showed that adolescents with high levels of MQI presented lower levels of depression (7.50 ± 6.06 vs. 10.97 ± 5.94), anxiety (5.64 ± 4.81 vs. 9.66 ± 5.12), and stress (6.79 ± 5.09 vs. 10 ± 5.58), in addition to reported lower abdominal obesity (WtHR, 0.47 ± 0.07 vs. 0.52 ± 0.07) than those with low levels of MQI. The group with high levels of MQI reported a higher prevalence of nonanxiety (81.3%, p = 0.031) and a lower prevalence of abdominal obesity (55.8%, p = 0.023). Likewise, a significant inverse association was evidenced between MQI and depression (β; -6.18, 95% CI; -10.11: -2.25, p = 0.003), anxiety (β; -6.61, 95% CI; -9.83: -3.39, p < 0.001) and stress (β; -4.90, 95% CI; -8.49: -1.32 p = 0.008). In conclusion, the results suggest that high levels of MQI are associated with a higher prevalence of nonanxiety in adolescents and a significant inverse association between MQI and levels of depression, anxiety, and stress.
Collapse
Affiliation(s)
- Guillermo Barahona-Fuentes
- Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.
- Núcleo de Investigación en Salud Actividad Física y Deporte ISAFYD, Universidad de Las Américas, Sede Viña del Mar, Chile.
- Faculty of Education and Social Sciences, Universidad Andres Bello, Viña del Mar, Chile.
| | - Álvaro Huerta Ojeda
- Núcleo de Investigación en Salud Actividad Física y Deporte ISAFYD, Universidad de Las Américas, Sede Viña del Mar, Chile
| | - Gabriela Lizana Romero
- Núcleo de Investigación en Salud Actividad Física y Deporte ISAFYD, Universidad de Las Américas, Sede Viña del Mar, Chile
| | - Pedro Delgado-Floody
- Department of Physical Education, Sport and Recreation, Universidad de La Frontera, Temuco, 4811230, Chile
| | - Daniel Jerez-Mayorga
- Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain
- Exercise and Rehabilitation Sciences Institute, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, 7591538, Santiago, Chile
| | | | - Luis Javier Chirosa-Ríos
- Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain
| |
Collapse
|
8
|
Hiller L, Foulis P, Goldsmith S, Epps J, Wright L. Estimation of 24-hour urinary creatinine excretion from patient variables: A novel approach to identify patients with low muscle mass and malnutrition and relationship to outcomes. Nutr Clin Pract 2023; 38:1082-1092. [PMID: 37277930 DOI: 10.1002/ncp.11009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/26/2023] [Accepted: 04/16/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Low muscle mass has been correlated with adverse outcomes in patients who are critically ill. Methods to identify low muscularity such as computed tomography scans or bioelectrical impedance analyses are impractical for admission screening. Urinary creatinine excretion (UCE) and creatinine height index (CHI) are associated with muscularity and outcomes but require a 24-h urine collection. The estimation of UCE from patient variables avoids the need for a 24-h urine collection and may be clinically useful. METHODS Variables of age, height, weight, sex, plasma creatinine, blood urea nitrogen (BUN), glucose, sodium, potassium, chloride, and carbon dioxide from a deidentified data set of 967 patients who had UCE measured were used to develop models to predict UCE. The model identified with the best predictive ability was validated and then retrospectively applied to a separate sample of 120 veterans who were critically ill to examine if UCE and CHI predicted malnutrition or were associated with outcomes. RESULTS A model was identified that included variables of plasma creatinine, BUN, age, and weight and was found to be highly correlated, moderately predictive of UCE, and statistically significant. Patients with model-estimated CHI ≤ 60% had significantly lower body weight, body mass index, plasma creatinine, and sera albumin and prealbumin levels; were 8.0 times more likely to be diagnosed with malnutrition; and were 2.6 times more likely to be readmitted in 6 months. CONCLUSION A model that predicts UCE offers a novel method to identify patients with low muscularity and malnutrition on admission without the use of invasive tests.
Collapse
Affiliation(s)
- Lynn Hiller
- Department of Nutrition and Food Service, James A. Haley Veterans Hospital, Tampa, Florida, USA
| | - Philip Foulis
- Department of Laboratory and Pathology Service, James A. Haley Veterans Hospital, Tampa, Florida, USA
| | - Susan Goldsmith
- Department of Digestive Diseases and Nutrition, James A. Haley Veterans Hospital, Tampa, Florida, USA
| | - James Epps
- Department of Mental Health Law and Policy, University of South Florida, Tampa, Florida, USA
| | - Lauri Wright
- Department of Nutrition and Dietetics, University of North Florida, Jacksonville, Florida, USA
| |
Collapse
|
9
|
Kim T, Kim G, Park HW, Kang EK, Baek S. Back Extensor Strength as a Potential Marker of Frailty Using Propensity Score Matching and Machine Learning. J Clin Med 2023; 12:6156. [PMID: 37834800 PMCID: PMC10573638 DOI: 10.3390/jcm12196156] [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: 08/15/2023] [Revised: 09/16/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
This study assessed the potential of back extensor strength as an alternative marker of frailty. A total of 560 farmers were included. Computed tomography scans measured fat and muscle mass volumes at the mid-L4 vertebral level. Back extensor strength was measured in a seated posture. Multivariate linear regression was used to analyze the associations between back extensor strength and trunk muscle/fat compositions. The participants were divided into two groups based on back extensor strength. Propensity score matching, multivariate logistic regression, and Extreme Gradient Boosting (XGBoost) were employed to evaluate the relationship between Fried's frailty criteria and back extensor strength. Back extensor strength exhibited positive associations with abdominal muscle volume (r = 1.12) as well as back muscle volume (r = 0.89) (p < 0.05). Back extensor strength was linked to more frail status, such as reduced grip strength, walking speed, and frequent self-reported exhaustion. Multivariate logistic regression indicated that back extensor strength was associated with higher frail status (OR = 0.990), and XGBoost analysis identified back extensor strength as the most important predictor (gain = 0.502) for frailty. The prediction models using grip strength produced similar results (OR = 0.869, gain = 0.482). These findings suggested the potential of back extensor strength as an alternative frailty marker.
Collapse
Affiliation(s)
- Taewook Kim
- Department of Education & Human Resources Development, Seoul National University Hospital, Seoul 03080, Republic of Korea;
| | - Gowun Kim
- Department of Rehabilitation Medicine, Kangwon National University College of Medicine, Chuncheon-si 24341, Republic of Korea; (G.K.); (H.-w.P.)
- Department of Rehabilitation Medicine, Kangwon National University Hospital, Chuncheon-si 24289, Republic of Korea
- Center for Farmers’ Safety and Health, Kangwon National University Hospital, Chuncheon-si 24289, Republic of Korea
| | - Hee-won Park
- Department of Rehabilitation Medicine, Kangwon National University College of Medicine, Chuncheon-si 24341, Republic of Korea; (G.K.); (H.-w.P.)
- Department of Rehabilitation Medicine, Kangwon National University Hospital, Chuncheon-si 24289, Republic of Korea
- Center for Farmers’ Safety and Health, Kangwon National University Hospital, Chuncheon-si 24289, Republic of Korea
| | - Eun Kyoung Kang
- Technological Laboratory, KakaoHealthcare Corp., Seongnam-si 13529, Republic of Korea;
| | - Sora Baek
- Department of Rehabilitation Medicine, Kangwon National University College of Medicine, Chuncheon-si 24341, Republic of Korea; (G.K.); (H.-w.P.)
- Department of Rehabilitation Medicine, Kangwon National University Hospital, Chuncheon-si 24289, Republic of Korea
- Center for Farmers’ Safety and Health, Kangwon National University Hospital, Chuncheon-si 24289, Republic of Korea
| |
Collapse
|
10
|
Wakefield CJ, Jochum SB, Hejna EE, Peterson SB, Vines DL, Shah PN, Hayden DM, Balk RA. Respiratory Musculature Evaluated by Computed Tomography in the Setting of Prolonged Mechanical Ventilation. Respir Care 2023; 68:1106-1111. [PMID: 37185112 PMCID: PMC10353160 DOI: 10.4187/respcare.09491] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
BACKGROUND Diaphragm atrophy has been observed in subjects who undergo invasive mechanical ventilation. We propose a new method to assess for respiratory muscle (RM) changes in subjects who undergo invasive mechanical ventilation by assessing for changes in respiratory muscles through computed tomography (CT). METHODS A retrospective case series study was conducted on subjects who underwent invasive mechanical ventilation and received at least 2 chest CT scans during admission. Exclusion criteria included history of chronic mechanical ventilation dependence and neuromuscular disease. Respiratory muscle cross-sectional area (CSA) was measured at the T6 vertebrae. RESULTS Fourteen subjects were included: mean (± SD) age, BMI, and admission APACHE II scores were 54.0 y (± 14.9), 32.6 kg/m2 (± 10.9), and 23.5 (± 6.0), respectively. Ten (71%) subjects were male. Mean length of time between CT chest scans was 7.5 d (± 3.3). Mean duration of invasive mechanical ventilation was 4.5 d (± 3.4). The percentage change in TM CSA among those who underwent invasive mechanical ventilation was 10.5% (± 6.1). CONCLUSIONS We demonstrated that serial analysis of respiratory muscle CSA through CT chest scans can be a method to assess for respiratory muscle atrophy in subjects undergoing mechanical ventilation. Future prospective studies involving larger populations are needed to better understand how this method can be used to predict outcomes in mechanically ventilated patients.
Collapse
Affiliation(s)
- Connor J Wakefield
- Department of Internal Medicine, Brooke Army Medical Center, San Antonio, Texas.
| | - Sarah B Jochum
- Department of Surgery, Division of Colon and Rectal Surgery, Rush University Medical Center, Chicago, Illinois
| | - Emily E Hejna
- Department of Surgery, Division of Colon and Rectal Surgery, Rush University Medical Center, Chicago, Illinois
| | - Sarah B Peterson
- Department of Clinical Nutrition, College of Health Sciences, Rush University Medical Center, Chicago, Illinois
| | - David L Vines
- Department of Cardiopulmonary Sciences, Division of Respiratory Care, Rush University Medical Center, Chicago, Illinois
| | - Palmi N Shah
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, Illinois
| | - Dana M Hayden
- Department of Surgery, Division of Colon and Rectal Surgery, Rush University Medical Center, Chicago, Illinois
| | - Robert A Balk
- Department of Internal Medicine, Brooke Army Medical Center, San Antonio, Texas
| |
Collapse
|
11
|
Herault A, Lévêque E, Draye-Carbonnier S, Decazes P, Zduniak A, Modzelewski R, Libraire J, Achamrah N, Ménard AL, Lenain P, Contentin N, Grall M, Leprêtre S, Lemasle E, Lanic H, Alani M, Stamatoullas-Bastard A, Tilly H, Jardin F, Tamion F, Camus V. High prevalence of pre-existing sarcopenia in critically ill patients with hematologic malignancies admitted to the intensive care unit for sepsis or septic shock. Clin Nutr ESPEN 2023; 55:373-383. [PMID: 37202070 DOI: 10.1016/j.clnesp.2023.04.007] [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: 12/22/2022] [Revised: 03/31/2023] [Accepted: 04/09/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND & AIMS We aimed to evaluate body composition (BC) by computed tomography (CT) in hematologic malignancy (HM) patients admitted to the intensive care unit (ICU) for sepsis or septic shock. METHODS We retrospectively assessed BC and its impact on outcome of 186 patients at the 3rd lumbar (L3) and 12th thoracic vertebral levels (T12) using CT-scan performed before ICU admission. RESULTS The median patient age was 58.0 [47; 69] years. Patients displayed adverse clinical characteristics at admission with median [q1; q3] SAPS II and SOFA scores of 52 [40; 66] and 8 [5; 12], respectively. The mortality rate in the ICU was 45.7%. Overall survival rates at 1 month after admission in the pre-existing sarcopenic vs. non pre-existing sarcopenic patients were 47.9% (95% CI [37.6; 61.0]) and 55.0% (95% CI [41.6; 72.8]), p = 0.99), respectively, at the L3 level and 48.4% (95% CI [40.4; 58.0]) vs. 66.7% (95% CI [51.1; 87.0]), p = 0.062), respectively, at the T12 level. CONCLUSIONS Sarcopenia is assessable by CT scan at both the T12 and L3 levels and is highly prevalent in HM patients admitted to the ICU for severe infections. Sarcopenia may contribute to the high mortality rate in the ICU in this population.
Collapse
Affiliation(s)
- Antoine Herault
- Intensive Care Unit, Charles Nicolle University Hospital, Rouen, France; Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Emilie Lévêque
- Clinical Research Unit, Centre Henri Becquerel, Rouen, France
| | | | - Pierre Decazes
- Department of Nuclear Medicine, Centre Henri Becquerel, Rouen, France; Unité QuantIF LITIS EA 4108, Université de Rouen, Normandie, France; Département D'imagerie, Centre Henri-Becquerel, Rouen, France
| | - Alexandra Zduniak
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Romain Modzelewski
- Unité QuantIF LITIS EA 4108, Université de Rouen, Normandie, France; Département D'imagerie, Centre Henri-Becquerel, Rouen, France
| | - Julie Libraire
- Clinical Research Unit, Centre Henri Becquerel, Rouen, France
| | - Najate Achamrah
- Department of Nutrition, Charles Nicolle University Hospital, Rouen, France
| | - Anne-Lise Ménard
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Pascal Lenain
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Nathalie Contentin
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Maximilien Grall
- Intensive Care Unit, Charles Nicolle University Hospital, Rouen, France
| | - Stéphane Leprêtre
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Emilie Lemasle
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Hélène Lanic
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Mustafa Alani
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | | | - Hervé Tilly
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Fabrice Jardin
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France
| | - Fabienne Tamion
- Intensive Care Unit, Charles Nicolle University Hospital, Rouen, France; Normandie Univ, UNIROUEN, INSERM U1096, CHU Rouen, France
| | - Vincent Camus
- Department of Hematology and INSERM U1245, Centre Henri Becquerel, Rouen, France.
| |
Collapse
|
12
|
Petric M, Jordan T, Karteek P, Licen S, Trotovsek B, Tomazic A. Radiological assessment of skeletal muscle index and myosteatosis and their impact postoperative outcomes after liver transplantation. Radiol Oncol 2023; 57:168-177. [PMID: 37341202 DOI: 10.2478/raon-2023-0025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Accepted: 05/16/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Liver transplantation offers curative treatment to patients with acute and chronic end-stage liver disease. The impact of nutritional status on postoperative outcomes after liver transplantation remains poorly understood. The present study investigated the predictive value of radiologically assessed skeletal muscle index (SMI) and myosteatosis (MI) on postoperative outcomes. PATIENTS AND METHODS Data of 138 adult patients who underwent their first orthotopic liver transplantation were retrospectively analysed. SMI and MI in computer tomography (CT) scan at the third lumbar vertebra level were calculated. Results were analyzed for the length of hospitalisation and postoperative outcomes. RESULTS In 63% of male and 28.9% of female recipients, low SMI was found. High MI was found in 45(32.6%) patients. Male patients with high SMI had longer intensive care unit (ICU) stay (P < 0.025). Low SMI had no influence on ICU stay in female patients (P = 0.544), length of hospitalisation (male, P > 0.05; female, P = 0.843), postoperative complication rates (males, P = 0.883; females, P = 0.113), infection rate (males, P = 0.293, females, P = 0.285) and graft rejection (males, P = 0.875; females, P = 0.135). The presence of MI did not influence ICU stay (P = 0.161), hospitalization (P = 0.771), postoperative complication rates (P = 0.467), infection rate (P = 0.173) or graft rejection rate (P = 0.173). CONCLUSIONS In our study, changes in body composition of liver transplant recipients observed with SMI and MI had no impact on postoperative course after liver transplantation. CT body composition analysis of recipients and uniformly accepted cut-off points are crucial to producing reliable data in the future.
Collapse
Affiliation(s)
- Miha Petric
- Department of Abdominal Surgery, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Taja Jordan
- Institute of Radiology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Popuri Karteek
- Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada
| | - Sabina Licen
- Faculty of Health Sciences, University of Primorska, Izola, Slovenia
| | - Blaz Trotovsek
- Department of Abdominal Surgery, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Ales Tomazic
- Department of Abdominal Surgery, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| |
Collapse
|
13
|
Yang H, Wan XX, Ma H, Li Z, Weng L, Xia Y, Zhang XM. Prevalence and mortality risk of low skeletal muscle mass in critically ill patients: an updated systematic review and meta-analysis. Front Nutr 2023; 10:1117558. [PMID: 37252244 PMCID: PMC10213681 DOI: 10.3389/fnut.2023.1117558] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 04/11/2023] [Indexed: 05/31/2023] Open
Abstract
Background Patients with critical illness often develop low skeletal muscle mass (LSMM) for multiple reasons. Numerous studies have explored the association between LSMM and mortality. The prevalence of LSMM and its association with mortality are unclear. This systematic review and meta-analysis was performed to examine the prevalence and mortality risk of LSMM among critically ill patients. Methods Three internet databases (Embase, PubMed, and Web of Science) were searched by two independent investigators to identify relevant studies. A random-effects model was used to pool the prevalence of LSMM and its association with mortality. The GRADE assessment tool was used to assess the overall quality of evidence. Results In total, 1,582 records were initially identified in our search, and 38 studies involving 6,891 patients were included in the final quantitative analysis. The pooled prevalence of LSMM was 51.0% [95% confidence interval (CI), 44.5-57.5%]. The subgroup analysis showed that the prevalence of LSMM in patients with and without mechanical ventilation was 53.4% (95% CI, 43.2-63.6%) and 48.9% (95% CI, 39.7-58.1%), respectively (P-value for difference = 0.44). The pooled results showed that critically ill patients with LSMM had a higher risk of mortality than those without LSMM, with a pooled odds ratio of 2.35 (95% CI, 1.91-2.89). The subgroup analysis based on the muscle mass assessment tool showed that critically ill patients with LSMM had a higher risk of mortality than those with normal skeletal muscle mass regardless of the different assessment tools used. In addition, the association between LSMM and mortality was statistically significant, independent of the different types of mortality. Conclusion Our study revealed that critically ill patients had a high prevalence of LSMM and that critically ill patients with LSMM had a higher risk of mortality than those without LSMM. However, large-scale and high-quality prospective cohort studies, especially those based on muscle ultrasound, are required to validate these findings. Systematic review registration http://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022379200.
Collapse
Affiliation(s)
- Hui Yang
- Department of Nursing, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Xi-Xi Wan
- Department of Medical Intensive Care Unit, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Hui Ma
- Department of Medical Intensive Care Unit, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Zhen Li
- Department of Urology, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Li Weng
- Department of Medical Intensive Care Unit, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Ying Xia
- Department of Medical Intensive Care Unit, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| | - Xiao-Ming Zhang
- Department of Nursing, Chinese Academy of Medical Sciences-Peking Union Medical College Hospital, Beijing, China
| |
Collapse
|
14
|
Geladari E, Alexopoulos T, Kontogianni MD, Vasilieva L, Mani I, Tenta R, Sevastianos V, Vlachogiannakos I, Alexopoulou A. The Presence of Myosteatosis Is Associated with Age, Severity of Liver Disease and Poor Outcome and May Represent a Prodromal Phase of Sarcopenia in Patients with Liver Cirrhosis. J Clin Med 2023; 12:jcm12093332. [PMID: 37176772 PMCID: PMC10179726 DOI: 10.3390/jcm12093332] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND/AIMS Myosteatosis implies impaired muscle quality. The aim of the study was to investigate the association of myosteatosis with other muscle abnormalities and its role in the prognosis of liver cirrhosis (LC). METHOD Skeletal muscle index (SMI) and myosteatosis were measured by computed tomography. Myosteatosis was defined as muscle radiodensity and evaluated according to dry body mass index (BMI). Median values and interquartile range were used for continuous and count (percentage) for categorical variables. RESULTS A total of 197 consecutive patients were included (age 61 (IQR 52-68); 67% male; MELD score 11 (interquartile range 7.5-16)). Myosteatosis was identified in 73.6% and sarcopenia in 44.6% of patients. Myosteatosis was positively associated with age (p = 0.024) and Child-Pugh (p = 0.017) and inversely associated with SMI (p = 0.026). Patients with myosteatosis exhibited lower 360-day survival (log-rank p = 0.001) compared to those without it. MELD (p < 0.001) and myosteatosis (p = 0.048) emerged as negative prognostic factors of survival in multivariate model. Individuals combining low muscle strength and impaired muscle quality and quantity displayed more advanced LC, impaired muscle performance, lower BMI (p < 0.001 each) and a three times higher mortality rate compared to those with low muscle quality alone. CONCLUSIONS The presence of myosteatosis was associated with advanced age, low skeletal mass and more severe LC. Myosteatosis was associated with poor prognosis and may represent a prodromal phase of muscle degeneration before the development of sarcopenia.
Collapse
Affiliation(s)
- Eleni Geladari
- 3rd Department of Internal Medicine & Liver Outpatient Clinic, Evangelismos General Hospital, 106 76 Athens, Greece
| | - Theodoros Alexopoulos
- Gastroenterology Department, Medical School, National & Kapodistrian University of Athens, Laiko General Hospital, 115 27 Athens, Greece
| | - Meropi D Kontogianni
- Department of Nutrition & Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 176 76 Kallithea, Greece
| | - Larisa Vasilieva
- Alexandra General Hospital, Gastroenterology, 115 28 Athens, Greece
| | - Iliana Mani
- 2nd Department of Internal Medicine & Research Laboratory, Medical School, National & Kapodistrian University of Athens, Hippokration General Hospital, 115 28 Athens, Greece
| | - Roxane Tenta
- Department of Nutrition & Dietetics, School of Health Sciences and Education, Harokopio University of Athens, 176 76 Kallithea, Greece
| | - Vasilios Sevastianos
- 3rd Department of Internal Medicine & Liver Outpatient Clinic, Evangelismos General Hospital, 106 76 Athens, Greece
| | - Ioannis Vlachogiannakos
- Gastroenterology Department, Medical School, National & Kapodistrian University of Athens, Laiko General Hospital, 115 27 Athens, Greece
| | - Alexandra Alexopoulou
- 2nd Department of Internal Medicine & Research Laboratory, Medical School, National & Kapodistrian University of Athens, Hippokration General Hospital, 115 28 Athens, Greece
| |
Collapse
|
15
|
de Heer G, Erley J, Kemper M, Ogica A, Weber T, Molwitz I. [Routine computed tomography body composition analysis-experience in intensive care patients]. Med Klin Intensivmed Notfmed 2023; 118:99-106. [PMID: 36692582 PMCID: PMC9874172 DOI: 10.1007/s00063-022-00985-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 11/25/2022] [Indexed: 01/25/2023]
Abstract
The assessment of the nutritional status of patients in the intensive care unit is recommended in current guidelines and should include the assessment of muscle status. A suitable method is the analysis of routine computed tomography (CT) scans, which are frequently performed in critically ill patients. With the help of special software, individual CT slices are processed and various parameters such as muscle area, muscle density or even the percentage of adipose tissue are displayed and quantified. It has been shown that cross-sectional acquisition of skeletal muscle in the lumbar spine correlates very well with total body muscle. There are defined, albeit population-based, cut-off values that can be used to establish diagnosis of sarcopenia. Monitoring of individualized nutritional therapy can be accomplished by assessment of repetitive CT examinations. The steadily growing body of data confirms that the method can make a valuable contribution to the assessment of body composition in intensive care medicine. Most of the currently available software requires time-consuming processing of the CT. Automated programs, which are now occasionally available and eliminate the need for most manual processing, may make the method even more attractive in the future. Ultimately, the risk of intensive transport to the CT or radiation exposure may be only justified for medical indications. Nevertheless, whenever CT is available for medical reasons, it should also be exploited for composition analysis.
Collapse
Affiliation(s)
- Geraldine de Heer
- Klinik für Intensivmedizin, Zentrum für Anästhesie und Intensivmedizin, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland. .,Klinik für Intensivmedizin, Universitätsklinikum Hamburg Eppendorf, Martinistraße 52, 20246, Hamburg, Deutschland.
| | - Jennifer Erley
- Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland
| | - Marius Kemper
- Klinik und Poliklinik für Allgemein‑, Viszeral- und Thoraxchirurgie, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland
| | | | - Theresa Weber
- Klinik für Intensivmedizin, Zentrum für Anästhesie und Intensivmedizin, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland
| | - Isabel Molwitz
- Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie und Nuklearmedizin, Universitätsklinikum Hamburg Eppendorf, Hamburg, Deutschland
| |
Collapse
|
16
|
Linge J, Nasr P, Sanyal AJ, Dahlqvist Leinhard O, Ekstedt M. Adverse muscle composition is a significant risk factor for all-cause mortality in NAFLD. JHEP Rep 2023; 5:100663. [PMID: 36818816 PMCID: PMC9929853 DOI: 10.1016/j.jhepr.2022.100663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 11/27/2022] [Indexed: 12/26/2022] Open
Abstract
Background & Aims Adverse muscle composition (MC) (i.e., low muscle volume and high muscle fat) has previously been linked to poor functional performance and comorbidities in non-alcoholic fatty liver disease (NAFLD). In this study we aimed to investigate associations of all-cause mortality with liver fat, NAFLD, and MC in the UK Biobank imaging study. Methods Magnetic resonance images of 40,174 participants were analyzed for liver proton density fat fraction (PDFF), thigh fat-free muscle volume (FFMV) z-score, and muscle fat infiltration (MFI) using the AMRA® Researcher. Participants with NAFLD were sex-, age-, and BMI-matched to participants without NAFLD with low alcohol consumption. Adverse MC was identified using previously published cut-offs. All-cause mortality was investigated using Cox regression. Models within NAFLD were crude and subsequently adjusted for sex, age, BMI (M1), hand grip strength, physical activity, smoking, alcohol (M2), and previous cancer, coronary heart disease, type 2 diabetes (M3). Results A total of 5,069 participants had NAFLD. During a mean (±SD) follow-up of 3.9 (±1.4) years, 150 out of the 10,138 participants (53% men, age 64.4 [±7.6] years, BMI 29.7 [±4.4] kg/m2) died. In the matched dataset, neither NAFLD nor liver PDFF were associated with all-cause mortality, while all MC variables achieved significance. Within NAFLD, adverse MC, MFI and FFMV z-score were significantly associated with all-cause mortality and remained so in M1 and M2 (crude hazard ratios [HRs] 2.84, 95% CI 1.70-4.75, p <0.001; 1.15, 95% CI 1.07-1.24, p <0.001; 0.70, 95% CI 0.55-0.88, p <0.001). In M3, the relationship was attenuated for adverse MC and FFMV z-score (adjusted HRs 1.72, 95% CI 1.00-2.98, p = 0.051; 0.77, 95% CI 0.58-1.02, p = 0.069) but remained significant for MFI (adjusted HR 1.13, 95% CI 1.01-1.26, p = 0.026). Conclusions Neither NAFLD nor liver PDFF was predictive of all-cause mortality. Adverse MC was a strong predictor of all-cause mortality in individuals with NAFLD. Impact and implications Individuals with fatty liver disease and poor muscle health more often suffer from poor functional performance and comorbidities. This study shows that they are also at a higher risk of dying. The study results indicate that measuring muscle health (the patient's muscle volume and how much fat they have in their muscles) could help in the early detection of high-risk patients and enable targeted preventative care.
Collapse
Affiliation(s)
- Jennifer Linge
- AMRA Medical AB, Linköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Corresponding author. Address: Badhusgatan 5, 58 222 Linköping, Sweden. Tel.: +46 72 399 70 29..
| | - Patrik Nasr
- Department of Gastroenterology and Hepatology, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Arun J. Sanyal
- Stravitz-Sanyal Institute of Liver Disease and Metabolic Health, Department of Internal Medicine, VCU School of Medicine, Richmond, VA, USA
| | - Olof Dahlqvist Leinhard
- AMRA Medical AB, Linköping, Sweden
- Division of Diagnostics and Specialist Medicine, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Mattias Ekstedt
- Department of Gastroenterology and Hepatology, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| |
Collapse
|
17
|
Bonatti M, Lombardo F, Valletta R, Comai A, Petralia B, Avesani G, Franchini E, Rossi A, De Santis N, Guerriero M, Ferro F. Myosteatosis as an independent predictor of short-term mortality in successfully reperfused acute ischemic stroke. Neuroradiol J 2023; 36:17-22. [PMID: 35506541 PMCID: PMC9893169 DOI: 10.1177/19714009221098370] [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: 02/05/2023] Open
Abstract
BACKGROUND AND PURPOSE Poor clinical outcomes are still common in successfully reperfused acute ischemic stroke patients. The aim of our study was to assess the impact of sarcopenia and myosteatosis on neurological outcomes and mortality in successfully reperfused acute ischemic stroke patients. MATERIALS AND METHODS We included in our retrospective observational study 166 consecutive patients who underwent technically successful mechanical thrombectomy for anterior circulation acute ischemic stroke between Jan 2016 and Dec 2019. ASPECTS and collateral score were assessed on pre-operative CT/CTA. Masseter muscles area and attenuation were measured on CTA images. Clinical and radiological variables were tested in multivariate logistic models to predict the probability of death and, among survivors, of incurring poor outcome. RESULTS At admission, mean NIHSS was 19 (SD = 6.5), mean body mass index 25.5 (SD = 4.4) kg/m2, and mean ASPECTS 8.0 (SD = 1.9). Of all, 48.2% patients showed good collaterals, 38.5% intermediate collaterals, and 13.3% poor collaterals. Overall, 90 days mRS was ≤2 in 48.2% of the patients, 3-5 in 30.7%, and 6 in 21.1%. At multivariate logistic regression, age (OR = 1.08, p = 0.036), ASPECTS (OR = 0.59, p = 0.013), and masseter muscles attenuation (OR = 0.93, p = 0.010) were independent predictors of mortality, whereas sex (OR = 7.15, p = 0.043), age (OR = 1.05, p = 0.042), body mass index (OR = 1.35, p = 0.013), NIHSS (OR = 1.12, p = 0.012), and ASPECTS (OR = 0.64, p = 0.024) were independent predictors of poor neurological outcome (mRS 3-5). CONCLUSION Beyond other well-known variables, low masseter attenuation, indicating myosteatosis, represents an independent negative prognostic factor for 90 days mortality in patients successfully reperfused after anterior circulation stroke.
Collapse
Affiliation(s)
- Matteo Bonatti
- Department of Radiology, Ospedale Centrale di
Bolzano, Bolzano, Italy
| | - Fabio Lombardo
- Department of Radiology, IRCCS Sacro Cuore-Don
Calabria, Negrar, Italy
| | - Riccardo Valletta
- Department of Radiology, Ospedale Centrale di
Bolzano, Bolzano, Italy
| | - Alessio Comai
- Department of Neuroradiology, Bolzano Central
Hospital, Bolzano, Italy
| | | | - Giacomo Avesani
- UOC Radiologia Diagnostica ed
Interventistica Generale, Dipartimento di Diagnostica per Immagini, Radioterapia
Oncologica ed Ematologia, Fondazione Policlinico Universitario
“A. Gemelli” IRCCS, Rome, Italy
| | - Enrica Franchini
- Department of Neurology, Bolzano Central
Hospital, Bolzano, Italy
| | - Andrea Rossi
- Department of Geriatrics,
Geriatrics, Healthy Aging Center Verona, Azienda Ospedaliera Universitaria
Integrata di Verona, Verona, Italy
| | | | - Massimo Guerriero
- Clinical Research Unit, IRCCS Sacro Cuore-Don
Calabria, Negrar, Italy
| | - Federica Ferro
- Department of Radiology, Ospedale Centrale di
Bolzano, Bolzano, Italy
| |
Collapse
|
18
|
Padilha DM, Garcia GR, Liveraro GS, Mendes MC, Takahashi ME, Lascala F, Silveira MN, Pozzuto L, Carrilho LA, Guerra LD, Moreira RC, Branbilla SR, Dertkigil SS, Takahashi J, Carvalheira JB. Construction of a nomogram for predicting COVID-19 in-hospital mortality: A machine learning analysis. INFORMATICS IN MEDICINE UNLOCKED 2023; 36:101138. [PMID: 36474601 PMCID: PMC9715454 DOI: 10.1016/j.imu.2022.101138] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/17/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022] Open
Abstract
Background and objectives We aim to verify the use of ML algorithms to predict patient outcome using a relatively small dataset and to create a nomogram to assess in-hospital mortality of patients with COVID-19. Methods A database of 200 COVID-19 patients admitted to the Clinical Hospital of State University of Campinas (UNICAMP) was used in this analysis. Patient features were divided into three categories: clinical, chest abnormalities, and body composition characteristics acquired by computerized tomography. These features were evaluated independently and combined to predict patient outcomes. To minimize performance fluctuations due to low sample number, reduce possible bias related to outliers, and evaluate the uncertainties generated by the small dataset, we developed a shuffling technique, a modified version of the Monte Carlo Cross Validation, creating several subgroups for training the algorithm and complementary testing subgroups. The following ML algorithms were tested: random forest, boosted decision trees, logistic regression, support vector machines, and neural networks. Performance was evaluated by analyzing Receiver operating characteristic (ROC) curves. The importance of each feature in the determination of the outcome predictability was also studied and a nomogram was created based on the most important features selected by the exclusion test. Results Among the different sets of features, clinical variables age, lymphocyte number and weight were the most valuable features for prognosis prediction. However, we observed that skeletal muscle radiodensity and presence of pleural effusion were also important for outcome determination. Integrating these independent predictors was successfully developed to accurately predict mortality in COVID-19 in hospital patients. A nomogram based on these five features was created to predict COVID-19 mortality in hospitalized patients. The area under the ROC curve was 0.86 ± 0.04. Conclusion ML algorithms can be reliable for the prediction of COVID-19-related in-hospital mortality, even when using a relatively small dataset. The success of ML techniques in smaller datasets broadens the applicability of these methods in several problems in the medical area. In addition, feature importance analysis allowed us to determine the most important variables for the prediction tasks resulting in a nomogram with good accuracy and clinical utility in predicting COVID-19 in-hospital mortality.
Collapse
Affiliation(s)
- Daniela M.H. Padilha
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Gabriel R. Garcia
- Institute of Physics “Gleb Wataghin”, University of Campinas, Campinas, SP, Brazil
| | - Gianni S.S. Liveraro
- Institute of Physics “Gleb Wataghin”, University of Campinas, Campinas, SP, Brazil
| | - Maria C.S. Mendes
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil,Department of Internal Medicine, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Maria E.S. Takahashi
- Institute of Physics “Gleb Wataghin”, University of Campinas, Campinas, SP, Brazil
| | - Fabiana Lascala
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Marina N. Silveira
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Lara Pozzuto
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Larissa A.O. Carrilho
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Lívia D. Guerra
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Rafaella C.L. Moreira
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Sandra R. Branbilla
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Sérgio S.J. Dertkigil
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil
| | - Jun Takahashi
- Institute of Physics “Gleb Wataghin”, University of Campinas, Campinas, SP, Brazil
| | - José B.C. Carvalheira
- Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Campinas, SP, Brazil,Corresponding author. Division of Oncology, Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, University of Campinas, Rua Vital Brasil, 80, Cidade Universitária, ZIP Code: 13, 083-888, Campinas, SP, Brazil
| |
Collapse
|
19
|
Osuna-Padilla IA, Rodríguez-Moguel NC, Rodríguez-Llamazares S, Orsso CE, Prado CM, Ríos-Ayala MA, Villanueva-Camacho O, Aguilar-Vargas A, Pensado-Piedra LE, Juárez-Hernández F, Hernández-Cárdenas CM. Low muscle mass in COVID-19 critically-ill patients: Prognostic significance and surrogate markers for assessment. Clin Nutr 2022; 41:2910-2917. [PMID: 35282986 PMCID: PMC8886683 DOI: 10.1016/j.clnu.2022.02.019] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/04/2022] [Accepted: 02/25/2022] [Indexed: 01/27/2023]
Abstract
INTRODUCTION Low muscle mass is a common condition in the critically ill population and is associated with adverse clinical outcomes. The primary aim of this study was to analyze the prognostic significance of low muscle mass using computed tomography (CT) scans in COVID-19 critically ill patients. A second objective was to determine the accuracy and agreement in low muscle mass identification using diverse markers compared to CT as the gold standard. METHODS This was a prospective cohort study of COVID-19 critically ill patients. Skeletal muscle area at the third lumbar vertebra was measured. Clinical outcomes (intensive care unit [ICU] and hospital length of stay [LOS], tracheostomy, days on mechanical ventilation [MV], and in-hospital mortality) were assessed. Phase angle, estimated fat-free mass index, calf circumference, and mid-upper arm circumference were measured as surrogate markers of muscle mass. RESULTS Eighty-six patients were included (mean age ± SD: 48.6 ± 12.9; 74% males). Patients with low muscle mass (48%) had a higher rate of tracheostomy (50 vs 20%, p = 0.01), prolonged ICU (adjusted HR 0.53, 95%CI 0.30-0.92, p = 0.024) and hospital LOS (adjusted HR 0.50, 95% CI 0.29-0.86, p = 0.014). Bedside markers of muscle mass showed poor to fair agreement and accuracy compared to CT-assessed low muscle mass. CONCLUSION Low muscle mass at admission was associated with prolonged length of ICU and hospital stays. Further studies are needed to establish targeted nutritional interventions to halt and correct the catabolic impact of COVID-19 in critically ill patients, based on standardized and reliable measurements of body composition.
Collapse
Affiliation(s)
- I A Osuna-Padilla
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico; Departamento de Áreas Críticas Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - N C Rodríguez-Moguel
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - S Rodríguez-Llamazares
- Departamento de Investigación en Tabaquismo y EPOC Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - C E Orsso
- Human Nutrition Research Unit Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - C M Prado
- Human Nutrition Research Unit Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - M A Ríos-Ayala
- Departamento de Áreas Críticas Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - O Villanueva-Camacho
- Departamento de Alimentación y Nutrición Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - A Aguilar-Vargas
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - L E Pensado-Piedra
- Departamento de Imagenología Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - F Juárez-Hernández
- Departamento de Imagenología Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - C M Hernández-Cárdenas
- Departamento de Áreas Críticas Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico.
| |
Collapse
|
20
|
Ultrasound Versus Computed Tomography for Diaphragmatic Thickness and Skeletal Muscle Index during Mechanical Ventilation. Diagnostics (Basel) 2022; 12:diagnostics12112890. [PMID: 36428947 PMCID: PMC9689333 DOI: 10.3390/diagnostics12112890] [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: 10/11/2022] [Revised: 11/08/2022] [Accepted: 11/16/2022] [Indexed: 11/23/2022] Open
Abstract
Background: Diaphragmatic alterations occurring during mechanical ventilation (MV) can be monitored using ultrasound (US). The performance of computed tomography (CT) to evaluate diaphragmatic thickness is limited. Further, the association between muscle mass and outcome is increasingly recognized. However, no data are available on its correlation with diaphragmatic thickness. We aimed to determine correlation and agreement of diaphragmatic thickness between CT and US; and its association with muscle mass and MV parameters. Methods: Prospective observational study. US measurements of the diaphragmatic thickness were collected in patients undergoing MV within 12 h before or after performing a CT scan of the thorax and/or upper abdomen. Data on skeletal muscle index (SMI), baseline, and ventilatory data were recorded and correlated with US and CT measures of diaphragmatic thickness. Agreement was explored between US and CT data. Results: Twenty-nine patients were enrolled and the diaphragm measured by CT resulted overall thicker than US-based measurement of the right hemidiaphragm. The US thickness showed the strongest correlation with the left posterior pillar at CT (r = 0.49, p = 0.008). The duration of the controlled MV was negatively correlated with US thickness (r = -0.45, p = 0.017), the thickness of the right anterior pillar (r = -0.41, p = 0.029), and splenic dome by CT (r = -0.43, p = 0.023). SMI was positively correlated with US diaphragmatic thickness (r = 0.50, p = 0.007) and inversely correlated with the duration of MV before enrollment (r = -0.426, p = 0.027). Conclusions: CT scan of the left posterior pillar can estimate diaphragmatic thickness and is moderately correlated with US measurements. Both techniques show that diaphragm thickness decreases with MV duration. The diaphragmatic thickness by US showed a good correlation with SMI.
Collapse
|
21
|
Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19. Sci Rep 2022; 12:15718. [PMID: 36127500 PMCID: PMC9488878 DOI: 10.1038/s41598-022-20126-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 09/08/2022] [Indexed: 12/15/2022] Open
Abstract
Inflammatory states and body composition changes are associated with a poor prognosis in many diseases, but their role in coronavirus disease 2019 (COVID-19) is not fully understood. To assess the impact of low skeletal muscle radiodensity (SMD), high neutrophil-to-lymphocyte ratio (NLR) and a composite score based on both variables, on complications, use of ventilatory support, and survival in patients with COVID-19. Medical records of patients hospitalized between May 1, 2020, and July 31, 2020, with a laboratory diagnosis of COVID-19 who underwent computed tomography (CT) were retrospectively reviewed. CT-derived body composition measurements assessed at the first lumbar vertebra level, and laboratory tests performed at diagnosis, were used to calculate SMD and NLR. Prognostic values were estimated via univariate and multivariate logistic regression analyses and the Kaplan–Meier curve. The study was approved by the local Institutional Review Board (CAAE 36276620.2.0000.5404). A total of 200 patients were included. Among the patients assessed, median age was 59 years, 58% were men and 45% required ICU care. A total of 45 (22.5%) patients died. Multivariate logistic analysis demonstrated that a low SMD (OR 2.94; 95% CI 1.13–7.66, P = 0.027), high NLR (OR 3.96; 95% CI 1.24–12.69, P = 0.021) and both low SMD and high NLR (OR 25.58; 95% CI 2.37–276.71, P = 0.008) combined, were associated with an increased risk of death. Patients who had both low SMD and high NLR required more mechanical ventilation (P < 0.001) and were hospitalized for a longer period (P < 0.001). Low SMD, high NLR and the composite score can predict poor prognosis in patients with COVID-19, and can be used as a tool for early identification of patients at risk. Systemic inflammation and low muscle radiodensity are useful predictors of poor prognosis, and the assessment of these factors in clinical practice should be considered.
Collapse
|
22
|
Petrič M, Jordan T, Popuri K, Ličen S, Trotovšek B, Tomažič A. WITHDRAWN: Do skeletal muscle index and myosteatosis impact postoperative outcomes after liver transplantation? JOURNAL OF LIVER TRANSPLANTATION 2022. [DOI: 10.1016/j.liver.2022.100106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
|
23
|
Pinto FCS, Andrade MF, Gatti da Silva GH, Faiad JZ, Barrére APN, Gonçalves RDC, de Castro GS, Seelaender M. Function Over Mass: A Meta-Analysis on the Importance of Skeletal Muscle Quality in COVID-19 Patients. Front Nutr 2022; 9:837719. [PMID: 35529467 PMCID: PMC9067541 DOI: 10.3389/fnut.2022.837719] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/17/2022] [Indexed: 12/15/2022] Open
Abstract
COVID-19 caused by SARS-CoV-2 infection is a highly contagious disease affecting both the higher and lower portions of the respiratory tract. This disease reached over 265 million people and has been responsible for over 5.25 million deaths worldwide. Skeletal muscle quality and total mass seem to be predictive of COVID-19 outcome. This systematic review aimed at providing a critical analysis of the studies published so far reporting on skeletal muscle mass in patients with COVID-19, with the intent of examining the eventual association between muscle status and disease severity. A meta-analysis was performed to evaluate whether skeletal muscle quantity, quality and function were related to disease severity. Systematic reviews and meta-analyses were conducted according to the guidelines of the Cochrane Handbook for Systematic Reviews of Interventions and reported according to the guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guide. From a total of 1,056 references found, 480 were selected after removing duplicates. Finally, only 7 met the specified inclusion criteria. The results of this meta-analysis showed that skeletal muscle quality, rather than quantity, was associated with COVID-19 severity, as confirmed by lower skeletal muscle density and lower handgrip strength in patients with severe disease. Muscle function assessment can thus be a valuable tool with prognostic value in COVID-19.
Collapse
Affiliation(s)
- Flaydson Clayton Silva Pinto
- Cancer Metabolism Research Group, Department of Surgery, LIM26 HC-USP, University of São Paulo, São Paulo, Brazil
| | - Márcia Fábia Andrade
- Cancer Metabolism Research Group, Department of Surgery, LIM26 HC-USP, University of São Paulo, São Paulo, Brazil
- Departamento de Biologia Celular e do Desenvolvimento, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
| | - Guilherme Henrique Gatti da Silva
- Cancer Metabolism Research Group, Department of Surgery, LIM26 HC-USP, University of São Paulo, São Paulo, Brazil
- Biology Department, Brandeis University, Waltham, MA, United States
| | - Jaline Zandonato Faiad
- Cancer Metabolism Research Group, Department of Surgery, LIM26 HC-USP, University of São Paulo, São Paulo, Brazil
| | - Ana Paula Noronha Barrére
- Cancer Metabolism Research Group, Department of Surgery, LIM26 HC-USP, University of São Paulo, São Paulo, Brazil
| | - Renata de Castro Gonçalves
- Cancer Metabolism Research Group, Department of Surgery, LIM26 HC-USP, University of São Paulo, São Paulo, Brazil
| | - Gabriela Salim de Castro
- Cancer Metabolism Research Group, Department of Surgery, LIM26 HC-USP, University of São Paulo, São Paulo, Brazil
- Departamento de Biologia Celular e do Desenvolvimento, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, Brazil
| | - Marília Seelaender
- Cancer Metabolism Research Group, Department of Surgery, LIM26 HC-USP, University of São Paulo, São Paulo, Brazil
- *Correspondence: Marília Seelaender
| |
Collapse
|
24
|
Frailty and senile apathy in the everyday clinical practice in the conditions of COVID-19. КЛИНИЧЕСКАЯ ПРАКТИКА 2022. [DOI: 10.17816/clinpract104831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
The article covers the pathogenesis, clinical manifestations, and diagnostic criteria of frailty and senile apathy in the elderly. Special attention is paid to sarcopenia: the phenotypic classification and modern approaches to the treatment are discussed. The knowledge and understanding of the main pathogenetic links of sarcopenia, frailty and senile apathy, as well as the development of a single therapeutic line for these pathological conditions can significantly improve the life quality and expectancy of the elderly.
Collapse
|
25
|
Nobel YR, Su SH, Anderson MR, Luk L, Small-Saunders JL, Reyes-Soffer G, Gallagher D, Freedberg DE. Relationship Between Body Composition and Death in Patients with COVID-19 Differs Based on the Presence of Gastrointestinal Symptoms. Dig Dis Sci 2022; 67:4484-4491. [PMID: 34820728 PMCID: PMC8612109 DOI: 10.1007/s10620-021-07324-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 11/08/2021] [Indexed: 02/02/2023]
Abstract
BACKGROUND Patients with SARS-CoV-2 who present with gastrointestinal symptoms have a milder clinical course than those who do not. Risk factors for severe COVID-19 disease include increased adiposity and sarcopenia. AIMS To determine whether body composition risk factors are associated with worse outcomes among patients with gastrointestinal symptoms. METHODS This was a retrospective study of hospitalized patients with COVID-19 who underwent abdominal CT scan for clinical indications. Abdominal body composition measures including skeletal muscle index (SMI), intramuscular adipose tissue index (IMATI), visceral adipose tissue index (VATI), subcutaneous adipose tissue index (SATI), visceral-to-subcutaneous adipose tissue ratio (VAT/SAT ratio), and liver and spleen attenuation were collected. The association between body composition measurements and 30-day mortality was evaluated in patients with and without gastrointestinal symptoms at the time of positive SARS-CoV-2 test. RESULTS Abdominal CT scans of 190 patients with COVID-19 were evaluated. Gastrointestinal symptoms including nausea, vomiting, diarrhea, or abdominal pain were present in 117 (62%). Among patients without gastrointestinal symptoms, those who died had greater IMATI (p = 0.049), less SMI (p = 0.010), and a trend toward a greater VAT/SAT ratio. Among patients with gastrointestinal symptoms, those who died had significantly greater IMATI (p = 0.025) but no differences in other measures. CONCLUSIONS Among patients with COVID-19, those without gastrointestinal symptoms showed the expected associations between mortality and low SMI, high IMATI, and trend toward higher VAT/SAT ratio, but those with gastrointestinal symptoms did not. Future studies should explore the mechanisms for the altered disease course in patients with COVID-19 who present with gastrointestinal symptoms.
Collapse
Affiliation(s)
- Yael R. Nobel
- Division of Digestive and Liver Diseases, Columbia University Irving Medical Center, 630 West 168th Street, 3rd Floor, New York, NY 10032 USA
| | - Steven H. Su
- College of Physicians and Surgeons, Columbia University, New York, NY USA
| | - Michaela R. Anderson
- Division of Pulmonary and Critical Care, Columbia University Irving Medical Center, New York, NY USA
| | - Lyndon Luk
- Department of Radiology, Columbia University Irving Medical Center, New York, NY USA
| | | | - Gissette Reyes-Soffer
- Division of Endocrinology, Columbia University Irving Medical Center, New York, NY USA
| | - Dympna Gallagher
- Institute of Human Nutrition, Columbia University Irving Medical Center, New York, NY USA
| | - Daniel E. Freedberg
- Division of Digestive and Liver Diseases, Columbia University Irving Medical Center, 630 West 168th Street, 3rd Floor, New York, NY 10032 USA
| |
Collapse
|
26
|
Puengel T, Weber B, Wirtz TH, Buendgens L, Loosen SH, Geisler L, Özdirik B, Karim H, Jhaisha SA, Brozat JF, Hohlstein P, Eisert A, Yagmur E, Trautwein C, Tacke F, Koch A. Low Serum Levels of Soluble Receptor Activator of Nuclear Factor κ B Ligand (sRANKL) Are Associated with Metabolic Dysregulation and Predict Long-Term Mortality in Critically Ill Patients. Diagnostics (Basel) 2021; 12:diagnostics12010062. [PMID: 35054232 PMCID: PMC8774641 DOI: 10.3390/diagnostics12010062] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 12/18/2021] [Accepted: 12/23/2021] [Indexed: 01/23/2023] Open
Abstract
Soluble receptor activator of nuclear factor κ B ligand (sRANKL) is a member of the tumor necrosis factor receptor superfamily, and therefore, involved in various inflammatory processes. The role of sRANKL in the course of bone remodeling via activation of osteoclasts as well as chronic disease progression has been described extensively. However, the potential functional importance of sRANKL in critically ill or septic patients remained unknown. Therefore, we measured sRANKL serum concentrations in 303 critically ill patients, including 203 patients with sepsis and 100 with non-sepsis critical illness. Results were compared to 99 healthy controls. Strikingly, in critically ill patients sRANKL serum levels were significantly decreased at intensive care unit (ICU) admission (p = 0.011) without differences between sepsis and non-sepsis patients. Inline, sRANKL was correlated with markers of metabolic dysregulation, such as pre-existing diabetes and various adipokines (e.g., adiponectin, leptin receptor). Importantly, overall mortality of critically ill patients in a three-year follow-up was significantly associated with decreased sRANKL serum concentrations at ICU admission (p = 0.038). Therefore, our study suggests sRANKL as a biomarker in critically ill patients which is associated with poor prognosis and overall survival beyond ICU stay.
Collapse
Affiliation(s)
- Tobias Puengel
- Department of Hepatology and Gastroenterology, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (L.G.); (B.Ö.); (F.T.)
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
- Correspondence:
| | - Beate Weber
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| | - Theresa H. Wirtz
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| | - Lukas Buendgens
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| | - Sven H. Loosen
- Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Medical Faculty of Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany;
| | - Lukas Geisler
- Department of Hepatology and Gastroenterology, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (L.G.); (B.Ö.); (F.T.)
| | - Burcin Özdirik
- Department of Hepatology and Gastroenterology, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (L.G.); (B.Ö.); (F.T.)
| | - Hamesch Karim
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| | - Samira Abu Jhaisha
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| | - Jonathan F. Brozat
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| | - Philipp Hohlstein
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| | - Albrecht Eisert
- Hospital Pharmacy, RWTH-University Hospital Aachen, 52074 Aachen, Germany;
- Institute of Clinical Pharmacology, RWTH-University Hospital Aachen, 52074 Aachen, Germany
| | - Eray Yagmur
- Institute of Laboratory Medicine, Western Palatinate Hospital, 67655 Kaiserslautern, Germany;
| | - Christian Trautwein
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany; (L.G.); (B.Ö.); (F.T.)
| | - Alexander Koch
- Department of Medicine III, RWTH-University Hospital Aachen, 52074 Aachen, Germany; (B.W.); (T.H.W.); (L.B.); (H.K.); (S.A.J.); (J.F.B.); (P.H.); (C.T.); (A.K.)
| |
Collapse
|
27
|
Chandarana H, Pisuchpen N, Krieger R, Dane B, Mikheev A, Feng Y, Kambadakone A, Rusinek H. Association of body composition parameters measured on CT with risk of hospitalization in patients with Covid-19. Eur J Radiol 2021; 145:110031. [PMID: 34801878 PMCID: PMC8592118 DOI: 10.1016/j.ejrad.2021.110031] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/03/2021] [Accepted: 11/11/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE To assess prognostic value of body composition parameters measured at CT to predict risk of hospitalization in patients with COVID-19 infection. METHODS 177 patients with SARS-CoV-2 infection and with abdominopelvic CT were included in this retrospective IRB approved two-institution study. Patients were stratified based on disease severity as outpatients (no hospital admission) and patients who were hospitalized (inpatients). Two readers blinded to the clinical outcome segmented axial CT images at the L3 vertebral body level for visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), muscle adipose tissue (MAT), muscle mass (MM). VAT to total adipose tissue ratio (VAT/TAT), MAT/MM ratio, and muscle index (MI) at L3 were computed. These measures, along with detailed clinical risk factors, were compared in patients stratified by severity. Various logistic regression clinical and clinical + imaging models were compared to discriminate inpatients from outpatients. RESULTS There were 76 outpatients (43%) and 101 inpatients. Male gender (p = 0.013), age (p = 0.0003), hypertension (p = 0.0003), diabetes (p = 0.0001), history of cardiac disease (p = 0.007), VAT/TAT (p < 0.0001), and MAT/MM (p < 0.0001), but not BMI, were associated with hospitalization. A clinical model (age, gender, BMI) had AUC of 0.70. Addition of VAT/TAT to the clinical model improved the AUC to 0.73. Optimal model that included gender, BMI, race (Black), MI, VAT/TAT, as well as interaction between gender and VAT/TAT and gender and MAT/MM demonstrated the highest AUC of 0.83. CONCLUSION MAT/MM and VAT/TAT provides important prognostic information in predicting patients with COVID-19 who are likely to require hospitalization.
Collapse
Affiliation(s)
- Hersh Chandarana
- Center for Advanced Imaging Innovation and Research (CAI2R), and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States.
| | - Nisanard Pisuchpen
- Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Rachel Krieger
- Center for Advanced Imaging Innovation and Research (CAI2R), and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States
| | - Bari Dane
- Center for Advanced Imaging Innovation and Research (CAI2R), and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States
| | - Artem Mikheev
- Center for Advanced Imaging Innovation and Research (CAI2R), and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States
| | - Yang Feng
- Department of Biostatistics, School of Global Public Health, New York University, New York, NY, United States
| | - Avinash Kambadakone
- Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Henry Rusinek
- Center for Advanced Imaging Innovation and Research (CAI2R), and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States
| |
Collapse
|
28
|
Linge J, Petersson M, Forsgren MF, Sanyal AJ, Dahlqvist Leinhard O. Adverse muscle composition predicts all-cause mortality in the UK Biobank imaging study. J Cachexia Sarcopenia Muscle 2021; 12:1513-1526. [PMID: 34713982 PMCID: PMC8718078 DOI: 10.1002/jcsm.12834] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 09/06/2021] [Accepted: 09/24/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Adverse muscle composition (MC) as measured by magnetic resonance imaging has previously been linked to poor function, comorbidity, and increased hospitalization. The aim of this study was to investigate if adverse MC predicts all-cause mortality using data from UK Biobank. METHODS There were 40 178 participants scanned using a 6 min magnetic resonance imaging protocol. Images were analysed for thigh fat-tissue free muscle volume and muscle fat infiltration (MFI) using AMRA® Researcher (AMRA Medical, Linköping, Sweden). For each participant, a sex, weight, and height invariant muscle volume z-score was calculated. Participants were partitioned into four MC groups: (i) normal MC, (ii) only low muscle volume [<25th percentile for muscle volume z-score (population wide)], (iii) only high MFI [>75th percentile (population wide, sex-specific)], and (iv) adverse MC (low muscle volume z-score and high MFI). Association of MC groups with mortality was investigated using Cox proportional-hazard modelling with normal MC as referent (unadjusted and adjusted for low hand grip strength, sex, age, body mass index, previous diagnosis of disease (cancer, type 2 diabetes and coronary heart disease), lifestyle, and socioeconomic factors (smoking, alcohol consumption, physical activity, and Townsend deprivation index). RESULTS Muscle composition measurements were complete for 39 804 participants [52% female, mean (SD) age 64.2 (7.6) years and body mass index 26.4 (4.4) kg/m2 ]. Three hundred twenty-eight deaths were recorded during a follow-up period of 2.9 (1.4) years after imaging. At imaging, adverse MC was detected in 10.5% of participants. The risk of death from any cause in adverse MC compared with normal MC was 3.71 (95% confidence interval 2.81-4.91, P < 0.001). Only low muscle volume and only high MFI were independently associated with all-cause mortality [1.58 (1.13-2.21), P = 0.007, and 2.02 (1.51-2.71), P < 0.001, respectively]. Adjustment of low hand grip strength [1.77 (1.28-2.44), P < 0.001] did not attenuate the associations with any of the MC groups. In the fully adjusted model, adverse MC and only high MFI remained significant (P < 0.001 and P = 0.020) while the association with only low muscle volume was attenuated to non-significance (P = 0.560). The predictive performance of adverse MC [1.96 (1.42-2.71), P < 0.001] was comparable with that of previous cancer diagnosis [1.93 (1.47-2.53), P < 0.001] and smoking [1.71 (1.02-2.84), P = 0.040]. Low hand grip strength was borderline non-significant [1.34 (0.96-1.88), P = 0.090]. CONCLUSIONS Adverse MC was a strong and independent predictor of all-cause mortality. Sarcopenia guidelines can be strengthened by including cut-offs for myosteatosis enabling detection of adverse MC.
Collapse
Affiliation(s)
- Jennifer Linge
- AMRA Medical, Linköping, Sweden.,Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | | | - Mikael F Forsgren
- AMRA Medical, Linköping, Sweden.,Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Arun J Sanyal
- Department of Internal Medicine and Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University, Richmond, VA, USA
| | - Olof Dahlqvist Leinhard
- AMRA Medical, Linköping, Sweden.,Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| |
Collapse
|
29
|
Tolonen A, Pakarinen T, Sassi A, Kyttä J, Cancino W, Rinta-Kiikka I, Pertuz S, Arponen O. Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review. Eur J Radiol 2021; 145:109943. [PMID: 34839215 DOI: 10.1016/j.ejrad.2021.109943] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 08/06/2021] [Accepted: 08/24/2021] [Indexed: 02/06/2023]
Abstract
PURPOSE OF THE REVIEW We aim to review the methods, current research evidence, and future directions in body composition analysis (BCA) with CT imaging. RECENT FINDINGS CT images can be used to evaluate muscle tissue, visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) compartments. Manual and semiautomatic segmentation methods are still the gold standards. The segmentation of skeletal muscle tissue and VAT and SAT compartments is most often performed at the level of the 3rd lumbar vertebra. A decreased amount of CT-determined skeletal muscle mass is a marker of impaired survival in many patient populations, including patients with most types of cancer, some surgical patients, and those admitted to the intensive care unit (ICU). Patients with increased VAT are more susceptible to impaired survival / worse outcomes; however, those patients who are critically ill or admitted to the ICU or who will undergo surgery appear to be exceptions. The independent significance of SAT is less well established. Recently, the roles of the CT-determined decrease of muscle mass and increased VAT area and epicardial adipose tissue (EAT) volume have been shown to predict a more debilitating course of illness in patients suffering from severe acute respiratory syndrome coronavirus 2 (COVID-19) infection. SUMMARY The field of CT-based body composition analysis is rapidly evolving and shows great potential for clinical implementation.
Collapse
Affiliation(s)
- Antti Tolonen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland.
| | - Tomppa Pakarinen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Antti Sassi
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Jere Kyttä
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland
| | - William Cancino
- Connectivity and Signal Processing Group, Universidad Industrial de Santander, Cl. 9 #Cra 27, Bucaramanga, Colombia
| | - Irina Rinta-Kiikka
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| | - Said Pertuz
- Connectivity and Signal Processing Group, Universidad Industrial de Santander, Cl. 9 #Cra 27, Bucaramanga, Colombia
| | - Otso Arponen
- Faculty of Medicine and Health Sciences, Tampere University, Kauppi Campus, Arvo Ylpön katu 34, 33520 Tampere, Finland; Department of Radiology, Tampere University Hospital, Elämänaukio, Kuntokatu 2, 33520 Tampere, Finland
| |
Collapse
|
30
|
Yang Q, Zhang M, Sun P, Li Y, Xu H, Wang K, Shen H, Ban B, Liu F. Cre/CysC ratio may predict muscle composition and is associated with glucose disposal ability and macrovascular disease in patients with type 2 diabetes. BMJ Open Diabetes Res Care 2021; 9:9/2/e002430. [PMID: 34732398 PMCID: PMC8572382 DOI: 10.1136/bmjdrc-2021-002430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Accepted: 10/07/2021] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Since the ratio of creatinine to cystatin C (Cre/CysC) can reflect muscle volume, it has been proven to be a predictor of sarcopenia in patients with or without diabetes. Here, we investigated the predictive value of Cre/CysC for the skeletal muscle composition and its correlations with glucose disposal ability and diabetic complications in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS The skeletal muscle index (SMI) and mean skeletal muscle attenuation (MMA) values of 193 patients with type 2 diabetes were obtained through analyses of CT images at the lumbar 3 level. RESULTS Serum Cre/CysC was significantly correlated with both the SMI (r=0.375, p<0.001) and MMA (r=0.378, p<0.001). Multiple stepwise linear regression analysis demonstrated that Cre/CysC was the only biochemical predictor of the SMI (β=0.48 (95% CI 0.02 to 0.94)) and MMA (β=0.57 (95% CI 0.14 to 1.01)). Furthermore, the fat mass index (FMI) was significantly associated with the MMA (r=-0.481, p<0.001) but not the SMI (r=0.101, p=0.164). In the diabetic complications analysis, Cre/CysC was significantly lower in patients with cardiovascular disease (95% CI (-1.47 to -0.22), p=0.008) and lower extremity arterial disease (95% CI (-1.44 to -0.29), p=0.004). Moreover, in the 100 g steamed bun test, Cre/CysC was significantly correlated with glucose levels at 60 min (r=-0.162, p=0.045), 120 min (r=-0.287, p<0.001) and 180 min (r=-0.313, p<0.001). CONCLUSIONS Cre/CysC may be a valuable predictor of skeletal muscle composition in type 2 diabetes. Patients with a higher Cre/CysC may have a better ability to dispose of postprandial glucose and are at a lower risk of macrovascular disease.
Collapse
Affiliation(s)
- Qing Yang
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Mei Zhang
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Peng Sun
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Yanying Li
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Huichao Xu
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Kejun Wang
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Hongshan Shen
- Department of Nutrition, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Bo Ban
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| | - Fupeng Liu
- Department of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong, China
| |
Collapse
|
31
|
Sarcopenia Predicts Cancer Mortality in Male but Not in Female Patients Undergoing Surgery for Cholangiocellular Carcinoma. Cancers (Basel) 2021; 13:cancers13215359. [PMID: 34771524 PMCID: PMC8582463 DOI: 10.3390/cancers13215359] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/21/2021] [Accepted: 10/24/2021] [Indexed: 01/04/2023] Open
Abstract
Simple Summary Cholangiocellular adenocarcinoma is the second most common primary liver tumor. If resectable, this is the therapeutic method of choice. Unfortunately, there are insufficient prognostic markers to determine which patients benefit most from surgery and which do not. The general condition of the patient, especially their muscle mass and quality, has become more and more the focus of recent research as a possible marker for therapeutic outcome. In our study we investigated how the preoperative muscle mass of patients with cholangiocellular adenocarcinoma affects postoperative overall survival. We showed that patients with a higher preoperative muscle mass had a significantly longer survival than patients with reduced muscle mass. Furthermore, we were able to show that this is particularly relevant in men and that in women preoperative muscle mass plays a significantly less important role in postoperative survival than in men. Abstract Introduction: Surgery represents the only curative treatment option for patients with cholangiocarcinoma. However, complete tumor resection requires extensive surgery in many patients, and it is still debated which patients represent the ideal candidates for such therapy in terms of overall survival. Sarcopenia has been associated with an adverse outcome for various malignancies, but its role in the context of patients undergoing tumor resection for cholangiocellular adenocarcinoma (CCA) is only poorly understood. Here, we evaluated the role of sarcopenia in the outcome of CCA patients undergoing radical tumor resection. Methods: Pre-operative CT scans were used to assess the skeletal muscle index (L3SMI) as well as the psoas muscle index (L3PMI) in n = 76 patients receiving curative intended surgery for CCA. L3SMI and L3PMI were correlated with clinical and laboratory markers. Results: Patients with a skeletal muscle index or psoas muscle index above an established ideal cut-off (54.26 and 1.685 cm2/m2) showed a significantly better overall survival in Kaplan–Meier Curve analyses (L3SMI: 1814 days (95% CI: 520–3108) vs. 467 days (95% CI: 225–709) days; log rank X2(1) = 7.18, p = 0.007; L3PMI: 608 days (95% CI: 297–919) vs. 87 days (95% CI: 33–141), log rank X2(1) = 18.71; p < 0.001). Notably, these findings, especially for L3PMI, were confirmed in univariate (L3SMI: HR 0.962 (0.936–0.989); p = 0.006; L3PMI: HR 0.529 (0.366–0.766); p ≤ 0.001) and multivariate Cox regression analyses. Further analyses revealed that the prognostic value of both L3SMI and L3PMI was restricted to male patients, while in female patients survival was independent of the individual muscle mass. Conclusion: Measurement of muscle mass from preoperative CT scans represents an easily obtainable tool to estimate patient prognosis following curative surgery. The prognostic value was restricted to male patients, while in female patients these parameters did not reflect the patient outcome.
Collapse
|
32
|
Serum Perilipin 2 (PLIN2) Predicts Multiple Organ Dysfunction in Critically Ill Patients. Biomedicines 2021; 9:biomedicines9091210. [PMID: 34572396 PMCID: PMC8468514 DOI: 10.3390/biomedicines9091210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/03/2021] [Accepted: 09/07/2021] [Indexed: 12/24/2022] Open
Abstract
Perilipin 2 (PLIN2) is a lipid droplet protein with various metabolic functions. However, studies investigating PLIN2 in the context of inflammation, especially in systemic and acute inflammation, are lacking. Hence, we assessed the relevance of serum PLIN2 in critically ill patients. We measured serum PLIN2 serum in 259 critically ill patients (166 with sepsis) upon admission to a medical intensive care unit (ICU) compared to 12 healthy controls. A subset of 36 patients underwent computed tomography to quantify body composition. Compared to controls, serum PLIN2 concentrations were elevated in critically ill patients at ICU admission. Interestingly, PLIN2 independently indicated multiple organ dysfunction (MOD), defined as a SOFA score > 9 points, at ICU admission, and was also able to independently predict MOD after 48 h. Moreover, serum PLIN2 levels were associated with severe respiratory failure potentially reflecting a moribund state. However, PLIN2 was neither a predictor of ICU mortality nor did it reflect metabolic dysregulation. Conclusively, the first study assessing serum PLIN2 in critical illness proved that it may assist in risk stratification because it is capable of independently indicating MOD at admission and predicting MOD 48 h after PLIN2 measurement. Further evaluation regarding the underlying mechanisms is warranted.
Collapse
|
33
|
Branched-Chain Amino Acids Can Predict Mortality in ICU Sepsis Patients. Nutrients 2021; 13:nu13093106. [PMID: 34578983 PMCID: PMC8469152 DOI: 10.3390/nu13093106] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 01/08/2023] Open
Abstract
Sepsis biomarkers and potential therapeutic targets are urgently needed. With proton nuclear magnetic resonance (1H NMR) spectroscopy, several metabolites can be assessed simultaneously. Fifty-three adult medical ICU sepsis patients and 25 ICU controls without sepsis were prospectively enrolled. 1H NMR differences between groups and associations with 28-day and ICU mortality were investigated. In multivariate metabolomic analyses, we found separate clustering of ICU controls and sepsis patients, as well as septic shock survivors and non-survivors. Lipoproteins were significantly different between sepsis and control patients. Levels of the branched-chain amino acids (BCAA) valine (median 43.3 [29.0–53.7] vs. 64.3 [47.7–72.3] normalized signal intensity units; p = 0.005), leucine (57.0 [38.4–71.0] vs. 73.0 [54.3–86.3]; p = 0.034) and isoleucine (15.2 [10.9–21.6] vs. 17.9 [16.1–24.4]; p = 0.048) were lower in patients with septic shock compared to those without. Similarly, BCAA were lower in ICU non-survivors compared to survivors, and BCAA were good discriminators for ICU and 28-day mortality. In uni- and multivariable logistic regression analyses, higher BCAA levels were associated with decreased ICU- and 28-day mortality. In conclusion, metabolomics using 1H NMR spectroscopy showed encouraging potential for personalized medicine in sepsis. BCAA was significantly lower in sepsis non-survivors and may be used as early biomarkers for outcome prediction.
Collapse
|
34
|
Hsu CC, Sun CY, Tsai CY, Chen MY, Wang SY, Hsu JT, Yeh CN, Yeh TS. Metabolism of Proteins and Amino Acids in Critical Illness: From Physiological Alterations to Relevant Clinical Practice. J Multidiscip Healthc 2021; 14:1107-1117. [PMID: 34017176 PMCID: PMC8131070 DOI: 10.2147/jmdh.s306350] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 04/23/2021] [Indexed: 12/29/2022] Open
Abstract
The clinical impact of nutrition therapy in critically ill patients has been known for years, and relevant guidelines regarding nutrition therapy have emphasized the importance of proteins. During critical illness, such as sepsis or the state following major surgery, major trauma, or major burn injury, patients suffer from a high degree of stress/inflammation, and during this time, metabolism deviates from homeostasis. The increased degradation of endogenous proteins in response to stress hormones is among the most important events in the acute phase of critical illness. Currently published evidence suggests that adequate protein supplementation might improve the clinical outcomes of critically ill patients. The role of sufficient protein supplementation may even surpass that of caloric supplementation. In this review, we focus on relevant physiological alterations in critical illness, the effects of critical illness on protein metabolism, nutrition therapy in clinical practice, and the function of specific amino acids.
Collapse
Affiliation(s)
- Chih-Chieh Hsu
- Division of General Surgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Ci-Yuan Sun
- Division of Colon & Rectal Surgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Chun-Yi Tsai
- Division of General Surgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Ming-Yang Chen
- Division of General Surgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Shang-Yu Wang
- Division of General Surgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan.,Chang Gung University, Taoyuan, 333, Taiwan
| | - Jun-Te Hsu
- Division of General Surgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan.,Chang Gung University, Taoyuan, 333, Taiwan
| | - Chun-Nan Yeh
- Division of General Surgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan.,Chang Gung University, Taoyuan, 333, Taiwan
| | - Ta-Sen Yeh
- Division of General Surgery, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan.,Chang Gung University, Taoyuan, 333, Taiwan
| |
Collapse
|
35
|
Xi F, Tan S, Gao T, Ding W, Sun J, Wei C, Li W, Yu W. Low skeletal muscle mass predicts poor clinical outcomes in patients with abdominal trauma. Nutrition 2021; 89:111229. [PMID: 33887547 DOI: 10.1016/j.nut.2021.111229] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 01/25/2021] [Accepted: 03/01/2021] [Indexed: 01/04/2023]
Abstract
OBJECTIVE The aim of this study was to investigate whether low skeletal muscle mass is associated with clinical outcomes in patients with abdominal trauma. METHODS Patients presenting to our institution with abdominal trauma from January 2010 to April 2020 were retrospectively included. Low skeletal muscle mass was defined, using computed tomography, as skeletal muscle index (SMI) at the third lumbar vertebra below the lowest sex-specific quartile within 1 wk of admission. Clinical outcomes such as complications, hospital stay, and hospital cost were recorded, and univariate and multivariate analyses were performed. RESULTS Among 684 patients, 451 were eligible. Of these, 112 (24.8%) were classified as having low skeletal muscle mass, based on SMI diagnostic cutoff values (42.08 cm2/m2 for men and 37.35 cm2/m2 for women). Low skeletal muscle mass was significantly associated with longer hospital length of stay, longer intensive care length of stay, higher cost, higher frequency of mechanical ventilation, longer duration of vasopressor use, and higher incidence of massive transfusion and overall complications (P < 0.05). Subgroup analysis showed that pneumonia, acute gastrointestinal dysfunction, cholecystitis, digestive tract fistula, gastric fistula, and intestinal fistula were significantly associated with low skeletal muscle mass (P < 0.05). Multivariate analysis showed that low skeletal muscle mass was an independent risk factor for overall complications (odds ratio [OR], 2.44; 95% confidence interval [CI], 1.33-4.49; P = 0.004), hospital length of stay (OR, 3.49; 95% CI, 1.96-6.20; P < 0.001), and hospital cost (OR, 2.67; 95% CI, 1.48-4.80; P = 0.001). CONCLUSIONS Low skeletal muscle mass could be an independent predictor of poor clinical outcomes in patients with abdominal trauma.
Collapse
Affiliation(s)
- Fengchan Xi
- Department of Intensive Care Unit, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China; Research Institute of General Surgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China
| | - Shanjun Tan
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Tao Gao
- Department of Intensive Care Unit, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China
| | - Weiwei Ding
- Research Institute of General Surgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China
| | - Jianfeng Sun
- Research Institute of General Surgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China
| | - Caiyun Wei
- Research Institute of General Surgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China
| | - Weiqin Li
- Research Institute of General Surgery, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China
| | - Wenkui Yu
- Department of Intensive Care Unit, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu Province, China.
| |
Collapse
|
36
|
Dong V, Karvellas CJ. Using technology to assess nutritional status and optimize nutrition therapy in critically ill patients. Curr Opin Clin Nutr Metab Care 2021; 24:189-194. [PMID: 33284200 DOI: 10.1097/mco.0000000000000721] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
PURPOSE OF REVIEW Malnutrition is prevalent in critically ill patients and is linked to worse outcomes such as prolonged mechanical ventilation, length of intensive care unit (ICU) stay, and increased mortality. Therefore, nutritional therapy is important. However, it is often difficult to accurately identify those at high malnutrition risk and to optimize nutritional support. Different technological modalities have therefore been developed to identify patients at high nutritional risk and to guide nutritional support in an attempt to optimize outcomes. RECENT FINDINGS Computed tomography (CT), ultrasound (US), and bioelectrical impedance analysis are tools that allow assessment of lean body mass and detection of sarcopenia, which is a significant marker of poor nutrition. The use of indirect calorimetry allows the determination of resting energy expenditure to serve as a guide to providing optimal nutrition intake in ICU patients. SUMMARY By using CT, US, or bioelectrical impedance analysis, detection of sarcopenia can be undertaken in patients admitted to the ICU. This allows for an accurate picture of underlying nutritional status to help clinicians focus on nutritional support for these patients. Subsequently, indirect calorimetry can be used to guide optimal nutrition therapy and caloric intake in critically ill patients. However, whether these methods result in improved outcomes in critically ill patients remains to be validated.
Collapse
Affiliation(s)
- Victor Dong
- Interdepartmental Division of Critical Care, University of Toronto, Toronto
- Division of Gastroenterology (Liver Unit)
| | - Constantine J Karvellas
- Division of Gastroenterology (Liver Unit)
- Department of Critical Care Medicine, University of Alberta, Edmonton, Canada
| |
Collapse
|