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Ganapathy A, Ballard DH, Garuba F, Lovato A, Mazaheri P, Chen DZ, Schneider M, Lanier MH, Ilahi O, Kirby JP, Raptis CA, Mellnick VM. Volumetric computed tomography measurements as predictors for outcomes in a cohort of Fournier's gangrene patients. Emerg Radiol 2024; 31:481-489. [PMID: 38842620 DOI: 10.1007/s10140-024-02251-z] [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: 05/07/2024] [Accepted: 05/28/2024] [Indexed: 06/07/2024]
Abstract
PURPOSE This study evaluates the prognostic value of CT findings, including volumetric measurements, in predicting outcomes for patients with Fournier gangrene (FG), focusing on mortality, ICU admission, hospital stay length, and healthcare costs. METHODS A retrospective study was conducted on 38 FG patients who underwent CT scans before surgical debridement. We analyzed demographic data, CT volumetric measurements, and clinical outcomes using logistic and linear regression models. RESULTS No single CT measurement significantly predicted mortality or ICU admission. The best model for mortality prediction included age, air volume, NSTI score, and male sex, with an AUC of 0.911. Intubation likelihood was modeled with an AUC of 0.913 using age, NSTI score, and visceral to subcutaneous fat ratio. The ICU admission model achieved an AUC of 0.677. Hospital stay was predicted by air volume (β = 0.0002656, p = 0.0505) with an adjusted R-squared of 0.1287. Air volume significantly predicted hospital costs (β = 2.859, p = 0.00558), resulting in an adjusted R-squared of 0.2165. CONCLUSION Volumetric CT findings provide valuable prognostic insights for FG patients, suggesting a basis for informed clinical decisions and resource allocation. Further validation in larger, multi-center studies is recommended to develop robust predictive models for FG outcomes.
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Affiliation(s)
- Aravinda Ganapathy
- School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA.
| | - Favour Garuba
- School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Adriene Lovato
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA
| | - Parisa Mazaheri
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA
| | - David Z Chen
- School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - McGinness Schneider
- School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - M Hunter Lanier
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA
| | - Obeid Ilahi
- Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - John P Kirby
- Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Constantine A Raptis
- School of Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Vincent M Mellnick
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd; Campus Box 8131, St. Louis, MO, 63110, USA
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Pleguezuelos E, Del Carmen A, Serra M, Moreno E, Miravitlles M, Garnacho-Castaño MV. Hospital and intensive care unit stay associated with body mass index affect cardiorespiratory fitness in patients with COVID-19. Chron Respir Dis 2024; 21:14799731241259749. [PMID: 38863283 PMCID: PMC11177731 DOI: 10.1177/14799731241259749] [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: 10/19/2023] [Revised: 04/21/2024] [Accepted: 05/14/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND The effects of coronavirus disease 2019 (COVID-19) on the cardiorespiratory fitness of hospitalized and obese patients are of utmost relevance. This study aimed to analyze how hospital and intensive care unit (ICU) stay together with body mass index affect cardiorespiratory fitness in patients with COVID-19. METHODS 251 participants (males, n = 118; females, n = 133) were assigned to four groups: non-hospitalized COVID-19 patients (n = 65, age: 45.3 years), hospitalized COVID-19 patients (n = 63, age: 57.6 years), COVID-19 patients admitted to the ICU (n = 61, age: 56.9 years), and control group (n = 62, age: 49.8 years). An incremental cardiopulmonary exercise test was performed between 3 and 6 weeks after medical discharge from hospital. RESULTS Higher peak oxygen uptake (VO2peak), ventilatory efficiency and power output were found in ICU patients with normal weight (NW) than in overweight (OW) (Mean difference: 0.1 L·min-1, -5.5, 29.0 W, respectively) and obese (OB) ICU patients (Mean difference: 0.1 L·min-1, -5.0, 26.2 W, respectively) (p < .05). In NW, OW and OB participants, higher VO2peak and power output were observed in control group compared with non-hospitalized (Mean difference: NW: 0.2 L·min-1, 83.3 W; OW: 0.2 L·min-1, 60.0 W; OB: 0.2 L·min-1, 70.9 W, respectively), hospitalized (Mean difference: NW: 0.2 L·min-1, 72.9 W; OW: 0.1 L·min-1, 58.3 W; OB: 0.2 L•min-1, 91.1 W, respectively) and ICU patients (Mean difference: NW: 0.1 L·min-1, 70.9 W; OW: 0.2 L·min-1, 91.1 W; OB: 0.3 L·min-1; 65.0 W, respectively) (p < .05). CONCLUSIONS The degree of severity of COVID-19, especially identified by hospitalization and ICU stay, together with obesity and overweight were key factors in reducing cardiorespiratory fitness in patients with COVID-19.
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Affiliation(s)
- Eulogio Pleguezuelos
- Physical Medicine and Rehabilitation Department, Hospital de Mataró, Mataró, Spain
- Department of Experimental Science and Healthcare, Faculty of Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Amin Del Carmen
- Physical Medicine and Rehabilitation Department, Hospital de Mataró, Mataró, Spain
| | - Mateu Serra
- Research Unit, Consorci Sanitari Del Maresme, Mataró, Spain
| | - Eva Moreno
- Physical Medicine and Rehabilitation Department, Hospitalet General Hospital, L´Hospitalet de Llobregat, Barcelona, Spain
| | - Marc Miravitlles
- Pneumology Department, Hospital Universitari Vall D'Hebron, Vall D'Hebron Institut de Recerca (VHIR), Barcelona, Spain
| | - Manuel Vicente Garnacho-Castaño
- DAFNiS Research Group (Pain, Physical Activity, Nutrition and Health), Campus Docent Sant Joan de Déu, Universitat de Barcelona, Sant Boi de Llobregat, Barcelona, Spain
- Facultad de Ciencias de La Salud, Universidad Internacional de Valencia (VIU), Valencia, Spain
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Fukushima T, Maetani T, Chubachi S, Tanabe N, Asakura T, Namkoong H, Tanaka H, Shimada T, Azekawa S, Otake S, Nakagawara K, Watase M, Shiraishi Y, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K. Epicardial adipose tissue measured from analysis of adipose tissue area using chest CT imaging is the best potential predictor of COVID-19 severity. Metabolism 2024; 150:155715. [PMID: 37918794 DOI: 10.1016/j.metabol.2023.155715] [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: 08/17/2023] [Revised: 10/03/2023] [Accepted: 10/25/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Computed tomography (CT) imaging is widely used for diagnosing and determining the severity of coronavirus disease 2019 (COVID-19). Chest CT imaging can be used to calculate the epicardial adipose tissue (EAT) and upper abdominal visceral adipose tissue (Abd-VAT) areas. The EAT is the main source of inflammatory cytokines involved in chest inflammatory diseases; thus, the EAT area might be a more useful severity predictor than the Abd-VAT area for COVID-19. However, to the best of our knowledge, there are no large-scale reports that sufficiently consider this issue. In addition, there are no reports on the characteristics of patients with normal body mass index (BMI) and high adipose tissue. AIM The purpose of this study was to analyze whether the EAT area, among various adipose tissues, was the most associated factor with COVID-19 severity. Using a multicenter COVID-19 patient database, we analyzed the associations of chest subcutaneous, chest visceral, abdominal subcutaneous, and Abd-VAT areas with COVID-19 outcomes. In addition, the clinical significance of central obesity, commonly disregarded by BMI, was examined. METHODS This retrospective cohort study evaluated patients with COVID-19 aged ≥18 years In Japan. Data including from chest CT images collected between February 2020 and October 2022 in four hospitals of the Japan COVID-19 Task Force were analyzed. Patient characteristics and COVID-19 severity were compared according to the adipose tissue areas (chest and abdominal subcutaneous adipose tissue [Chest-SAT and Abd-SAT], EAT, and Abd-VAT) calculated from chest CT images. RESULTS We included 1077 patients in the analysis. Patients with risk factors of severe COVID-19 such as old age, male sex, and comorbidities had significantly higher areas of EAT and Abd-VAT. High EAT area but not high Abd-VAT area was significantly associated with COVID-19 severity (adjusted odds ratio (aOR): 2.66, 95 % confidence interval [CI]: 1.19-5.93). There was no strong correlation between BMI and VAT. Patients with high VAT area accounted for 40.7 % of the non-obesity population (BMI < 25 kg/m2). High EAT area was also significantly associated with COVID-19 severity in the non-obesity population (aOR: 2.50, 95 % CI: 1.17-5.34). CONCLUSIONS Our study indicated that VAT is significantly associated with COVID-19 severity and that EAT is the best potential predictor for risk stratification in COVID-19 among adipose tissue areas. Body composition assessment using EAT is an appropriate marker for identifying obesity patients overlooked by BMI. Considering the next pandemic of the global health crisis, our findings open new avenues for implementing appropriate body composition assessments based on CT imaging.
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Affiliation(s)
- Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan; Department of Respiratory Medicine, Kitasato University, Kitasato Institute Hospital, Tokyo, Japan
| | - Ho Namkoong
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takashi Shimada
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hideki Terai
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Mamoru Sasaki
- Internal Medicine, JCHO (Japan Community Health care Organization) Saitama Medical Center, Saitama, Japan
| | - Soichiro Ueda
- Internal Medicine, JCHO (Japan Community Health care Organization) Saitama Medical Center, Saitama, Japan
| | - Yukari Kato
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Norihiro Harada
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Shoji Suzuki
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Shuichi Yoshida
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Hiroki Tateno
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Yoshitake Yamada
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Ryuji Koike
- Health Science Research and Development Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
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das Virgens IPA, Sousa IM, Bezerra ADL, Fayh APT. Assessment of body composition in adults hospitalized with acute COVID-19: a scoping review. Front Nutr 2023; 10:1176441. [PMID: 37743922 PMCID: PMC10513420 DOI: 10.3389/fnut.2023.1176441] [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: 02/28/2023] [Accepted: 07/07/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction Body composition (BC) assessment can supply accurate information for in-hospital nutritional evaluation. The aim of this study was to explore in the literature how the studies assessed BC, for what purpose, and investigate the role of BC findings in COVID-19 hospitalized patients' outcomes. Methods A scoping review was conducted according to the methodology available on the Joanna Briggs Institute website. We used the PCC acronym for the systematic search (population: adults with COVID-19, concept: assessment of BC, context: hospital setting) and performed it on PubMed, Scopus, and the Web of Science on 16 September 2022. Eligibility criteria consisted of the utilization of BC assessment tools in COVID-19 patients. Studies in which BC was solely measured with anthropometry (perimeters and skinfolds) were excluded. No language restriction was applied. Results Fifty-five studies were eligible for the review. Out of the 55 studies, 36 used computed tomography (CT), 13 used bioelectrical impedance (BIA), and 6 used ultrasound (US). No studies with D3-creatinine, 24 h urine excretion, dual-energy X-ray absorptiometry, or magnetic resonance were retrieved. BC was mainly assessed to test associations with adverse outcomes such as disease severity and mortality. Discussion Studies assessing BC in hospitalized patients with COVID-19 used mainly CT and BIA and associated the parameters with severity and mortality. There is little evidence of BC being assessed by other methods, as well as studies on BC changes during hospitalization.
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Affiliation(s)
- Isabel Pinto Amorim das Virgens
- Graduation Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
- Center for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Iasmin Matias Sousa
- Graduation Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Agnes Denise Lima Bezerra
- Graduation Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Ana Paula Trussardi Fayh
- Graduation Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
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Cefalì M, Scala I, Pavone G, Helbling D, Hussung S, Fritsch R, Reiner C, Stocker S, Koeberle D, Kissling M, Chianca V, Del Grande F, De Dosso S, Rizzo S. Is Computed-Tomography-Based Body Composition a Reliable Predictor of Chemotherapy-Related Toxicity in Pancreatic Cancer Patients? Cancers (Basel) 2023; 15:4398. [PMID: 37686674 PMCID: PMC10486498 DOI: 10.3390/cancers15174398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/13/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Malnutrition, loss of weight and of skeletal muscle mass are frequent in pancreatic cancer patients, a majority of which will undergo chemotherapy over the course of their disease. Available data suggest a negative prognostic role of these changes in body composition on disease outcomes; however, it is unclear whether tolerance to chemotherapeutic treatment is similarly and/or negatively affected. We aimed to explore this association by retrospectively assessing changes in body composition and chemotherapy-related toxicity in a cohort of advanced pancreatic cancer patients. METHODS Body composition was evaluated through clinical parameters and through radiological assessment of muscle mass, skeletal muscle area, skeletal muscle index and skeletal muscle density; and an assessment of fat distribution by subcutaneous adipose tissue and visceral adipose tissue. We performed descriptive statistics, pre/post chemotherapy comparisons and uni- and multivariate analyses to assess the relation between changes in body composition and toxicity. RESULTS Toxicity risk increased with an increase of skeletal muscle index (OR: 1.03) and body mass index (OR: 1.07), whereas it decreased with an increase in skeletal muscle density (OR: 0.96). Multivariate analyses confirmed a reduction in the risk of toxicity only with an increase in skeletal muscle density (OR: 0.96). CONCLUSIONS This study suggests that the retrospective analysis of changes in body composition is unlikely to be useful to predict toxicity to gemcitabine-nab-paclitaxel.
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Affiliation(s)
- Marco Cefalì
- Istituto Oncologico della Svizzera Italiana (IOSI), Ente Ospedaliero Cantonale (EOC), 6500 Bellinzona, Switzerland; (M.C.); (G.P.)
| | - Isabel Scala
- Facoltà di Scienze Biomediche, Università della Svizzera Italiana, Via Buffi 13, 6900 Lugano, Switzerland; (I.S.); (F.D.G.); (S.R.)
| | - Giuliana Pavone
- Istituto Oncologico della Svizzera Italiana (IOSI), Ente Ospedaliero Cantonale (EOC), 6500 Bellinzona, Switzerland; (M.C.); (G.P.)
| | - Daniel Helbling
- Onkozentrum Zürich, Seestrasse 259, 8038 Zurich, Switzerland;
| | - Saskia Hussung
- Department of Medical Oncology and Hematology, University Hospital of Zurich, 8091 Zurich, Switzerland; (S.H.); (R.F.)
| | - Ralph Fritsch
- Department of Medical Oncology and Hematology, University Hospital of Zurich, 8091 Zurich, Switzerland; (S.H.); (R.F.)
| | - Cäcilia Reiner
- Institute for Diagnostic and Interventional Radiology, University Hospital of Zurich, 8091 Zurich, Switzerland; (C.R.); (S.S.)
| | - Soleen Stocker
- Institute for Diagnostic and Interventional Radiology, University Hospital of Zurich, 8091 Zurich, Switzerland; (C.R.); (S.S.)
| | - Dieter Koeberle
- Oncology Departement, St. Claraspital, Kleinriehenstrasse 39, 4058 Basel, Switzerland;
| | - Marc Kissling
- Radiology Department, St. Claraspital, Kleinriehenstrasse 39, 4058 Basel, Switzerland;
| | - Vito Chianca
- Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900 Lugano, Switzerland;
| | - Filippo Del Grande
- Facoltà di Scienze Biomediche, Università della Svizzera Italiana, Via Buffi 13, 6900 Lugano, Switzerland; (I.S.); (F.D.G.); (S.R.)
- Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900 Lugano, Switzerland;
| | - Sara De Dosso
- Istituto Oncologico della Svizzera Italiana (IOSI), Ente Ospedaliero Cantonale (EOC), 6500 Bellinzona, Switzerland; (M.C.); (G.P.)
- Facoltà di Scienze Biomediche, Università della Svizzera Italiana, Via Buffi 13, 6900 Lugano, Switzerland; (I.S.); (F.D.G.); (S.R.)
| | - Stefania Rizzo
- Facoltà di Scienze Biomediche, Università della Svizzera Italiana, Via Buffi 13, 6900 Lugano, Switzerland; (I.S.); (F.D.G.); (S.R.)
- Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900 Lugano, Switzerland;
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Montes-Ibarra M, Orsso CE, Limon-Miro AT, Gonzalez MC, Marzetti E, Landi F, Heymsfield SB, Barazonni R, Prado CM. Prevalence and clinical implications of abnormal body composition phenotypes in patients with COVID-19: a systematic review. Am J Clin Nutr 2023:S0002-9165(23)46332-0. [PMID: 37037395 PMCID: PMC10082471 DOI: 10.1016/j.ajcnut.2023.04.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 03/01/2023] [Accepted: 04/03/2023] [Indexed: 04/12/2023] Open
Abstract
BACKGROUND The impact of body composition (BC) abnormalities on coronavirus disease 2019 (COVID-19) outcomes remains to be determined. OBJECTIVE We summarized the evidence on BC abnormalities and their relationship with adverse clinical outcomes in patients with COVID-19. METHODS A systematic search was conducted up until September 26, 2022 for observational studies using BC techniques to quantify skeletal muscle mass (or related compartments), muscle radiodensity or echo intensity, adipose tissue (AT, or related compartments), and phase angle (PhA) in adults with COVID-19. Methodological quality of studies was assessed using the Newcastle-Ottawa Scale. A synthesis without meta-analysis was conducted to summarize the prevalence of BC abnormalities and their significant associations with clinical outcomes. RESULTS We included 62 studies (69.4% low risk of bias) with 12 to 1,138 participants, except three with up to 490,301 participants. Using computed tomography and different cut-offs, prevalence ranged approximately from 22-90% for low muscle mass, 12-85% for low muscle radiodensity, 16-70% for high visceral AT. Using bioelectrical impedance analysis (BIA), prevalence of high fat mass was 51% and low PhA was 22-88%. Mortality was inversely related to PhA (3/4 studies) and positively related to intramuscular AT (4/5 studies), muscle echo intensity (2/2 studies), and BIA-estimated fat mass (2/2 studies). Intensive care unit admission was positively related to visceral AT (6/7 studies) and total AT (2/3 studies). Disease severity and hospitalization outcomes were positively related to intramuscular AT (2/2 studies). Inconsistent associations were found for the rest of BC measures and hospitalization outcomes. CONCLUSIONS Abnormalities in BC were prevalent in patients with COVID-19. Although conflicting associations were observed among certain BC abnormalities and clinical outcomes, higher muscle echo intensity (reflective of myosteatosis) and lower PhA were more consistently associated with greater mortality risk. Likewise, high IMAT and VAT were associated with mortality and ICU admission, respectively.
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Affiliation(s)
- Montserrat Montes-Ibarra
- Human Nutrition Research Unit, Department of Agricultural, Food, & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada. (MMI, CEO, ATLM and CMP)
| | - Camila E Orsso
- Human Nutrition Research Unit, Department of Agricultural, Food, & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada. (MMI, CEO, ATLM and CMP)
| | - Ana Teresa Limon-Miro
- Human Nutrition Research Unit, Department of Agricultural, Food, & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada. (MMI, CEO, ATLM and CMP); Department of Medicine, University of Alberta, Edmonton, Alberta, Canada. (ATLM)
| | - Maria Cristina Gonzalez
- Postgraduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, Rio Grande do Sul, Brazil. (MCG)
| | - Emanuele Marzetti
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, Rome, Italy. (EM and FL); Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy. (EM and FL)
| | - Francesco Landi
- Department of Geriatrics and Orthopedics, Università Cattolica del Sacro Cuore, Rome, Italy. (EM and FL); Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy. (EM and FL)
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, Louisiana, United States. (SBH)
| | - Rocco Barazonni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Italy; Azienda Sanitaria Universitaria Giuliano Isontina (ASUGI), Cattinara Hospital, Trieste, Italy. (RB)
| | - Carla M Prado
- Human Nutrition Research Unit, Department of Agricultural, Food, & Nutritional Science, University of Alberta, Edmonton, Alberta, Canada. (MMI, CEO, ATLM and CMP).
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Surov A, Thormann M, Kardas H, Hinnerichs M, Omari J, Cingöz E, Cingöz M, Dursun M, Kormaz İ, Orhan Ç, Yıldız Ö, Hocaoğlu E, Inci E, Önder H, Erk H, Chousein O, Sasani H, Gönen KA, Pech M, Wienke A. Visceral to subcutaneous fat ratio predicts short-term mortality in patients with Covid 19. A multicenter study. Br J Radiol 2023; 96:20220869. [PMID: 36744766 PMCID: PMC10078869 DOI: 10.1259/bjr.20220869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE To evaluate the association of body composition parameters with outcomes in Covid-19. METHODS 173 patients hospitalized for Covid-19 infection in 6 European centers were included in this retrospective study. Measurements were performed at L3-level and comprised skeletal muscle index (SMI), muscle density (MD), and adipose tissue measurements [visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intramuscular adipose tissue (IMAT), visceral-to-subcutaneous-adipose-tissue-area-ratio (VSR)]. The association with mortality, the need for intubation (MV), and the need for admission to ICU within 30 days were evaluated. RESULTS Higher SAT density was associated with a greater risk of MV (OR = 1.071, 95%CI=(1.034;1.110), p < 0.001). Higher VAT density was associated with admission to ICU (OR = 1.068, 95%CI=(1.029;1.109), p < 0.001). Higher MD was a protective factor for MV and ICU admission (OR = 0.914, 95%CI=(0.870;0.960), p < 0.001; OR = 0.882, 95%CI=(0.832;0.934), p = 0.028). Higher VSR was associated with mortality (OR = 2.147, 95%CI=(1.022;4.512), p = 0.044). Male sex showed the strongest influence on the risk of ICU admission and MV. SMI was not associated with either parameter. CONCLUSION In patients hospitalized for Covid-19 infection, higher VSR seems to be a strong prognostic factor of short-term mortality. Weak associations with clinical course were found for MD and adipose tissue measurements. Male sex was the strongest prognostic factor of adverse clinical course. ADVANCES IN KNOWLEDGE VSR is a prognostic biomarker for 30-day mortality in patients hospitalized for Covid-19 disease.
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Affiliation(s)
- Alexey Surov
- Department of Radiology,, Neuroradiology and Nuclear Medicine, Johannes Wesling University Hospital, Ruhr University Bochum, Bochum, Germany
| | - Maximilian Thormann
- Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Hakan Kardas
- Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Mattes Hinnerichs
- Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Jazan Omari
- Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Eda Cingöz
- Istanbul Medical Faculty Radiology Department, Istanbul University, Istanbul, Turkey
| | - Mehmet Cingöz
- Department of Radiology, Istanbul Cam and Sakura City Hospital, Istanbul, Turkey
| | - Memduh Dursun
- Istanbul Medical Faculty Radiology Department, Istanbul University, Istanbul, Turkey
| | - İnan Kormaz
- Department of Radiology, Hatay Mustafa Kemal University, Antakya, Hatay, Turkey
| | - Çağrı Orhan
- Department of Radiology, Hatay Mustafa Kemal University, Antakya, Hatay, Turkey
| | - Ömer Yıldız
- Radiology Department, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Bakirkoy, Istanbul, Turkey
| | - Elif Hocaoğlu
- Radiology Department, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Bakirkoy, Istanbul, Turkey
| | - Ercan Inci
- Radiology Department, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Bakirkoy, Istanbul, Turkey
| | - Hakan Önder
- Radiology Department, Health Science University, Prof. Dr. Cemil Tascioğlu City Hospital, Istanbul, Turkey
| | - Hamdullah Erk
- Radiology Department, Health Science University, Prof. Dr. Cemil Tascioğlu City Hospital, Istanbul, Turkey
| | - Ougkour Chousein
- Department of Radiology, Tekirdag Namik Kemal University, Tekirdag, Turkey
| | - Hadi Sasani
- Department of Radiology, Tekirdag Namik Kemal University, Tekirdag, Turkey
| | - Korcan Aysun Gönen
- Department of Radiology, Tekirdag Namik Kemal University, Tekirdag, Turkey
| | - Maciej Pech
- Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany
| | - Andreas Wienke
- Institute of Medical Epidemiology, Biometry, and Informatics, Martin- Luther- University, Halle-Wittenberg, Germany
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8
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Abstract
Coronavirus Disease 2019 (COVID-19) is characterized with a wide range of clinical presentations from asymptomatic to severe disease. In patients with severe disease, the main causes of mortality have been acute respiratory distress syndrome, cytokine storm and thrombotic events. Although all factors that may be associated with disease severity are not yet clear, older age remains a leading risk factor. While age-related immune changes may be at the bottom of severe course of COVID-19, age-related hormonal changes have considerable importance due to their interactions with these immune alterations, and also with endothelial dysfunction and comorbid cardiometabolic disorders. This review aims to provide the current scientific evidence on the pathogenetic mechanisms underlying the pathway to severe COVID-19, from a collaborative perspective of age-related immune and hormonal changes together, in accordance with the clinical knowledge acquired thus far.
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Affiliation(s)
- Seda Hanife Oguz
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hacettepe University School of Medicine, Ankara, Turkey
| | - Meltem Koca
- Division of Geriatrics, Department of Internal Medicine, Hacettepe University School of Medicine, Ankara, Turkey
| | - Bulent Okan Yildiz
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hacettepe University School of Medicine, Ankara, Turkey.
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9
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Laino ME, Ammirabile A, Lofino L, Lundon DJ, Chiti A, Francone M, Savevski V. Prognostic findings for ICU admission in patients with COVID-19 pneumonia: baseline and follow-up chest CT and the added value of artificial intelligence. Emerg Radiol 2022; 29:243-262. [PMID: 35048222 PMCID: PMC8769787 DOI: 10.1007/s10140-021-02008-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 12/03/2021] [Indexed: 01/08/2023]
Abstract
Infection with SARS-CoV-2 has dominated discussion and caused global healthcare and economic crisis over the past 18 months. Coronavirus disease 19 (COVID-19) causes mild-to-moderate symptoms in most individuals. However, rapid deterioration to severe disease with or without acute respiratory distress syndrome (ARDS) can occur within 1-2 weeks from the onset of symptoms in a proportion of patients. Early identification by risk stratifying such patients who are at risk of severe complications of COVID-19 is of great clinical importance. Computed tomography (CT) is widely available and offers the potential for fast triage, robust, rapid, and minimally invasive diagnosis: Ground glass opacities (GGO), crazy-paving pattern (GGO with superimposed septal thickening), and consolidation are the most common chest CT findings in COVID pneumonia. There is growing interest in the prognostic value of baseline chest CT since an early risk stratification of patients with COVID-19 would allow for better resource allocation and could help improve outcomes. Recent studies have demonstrated the utility of baseline chest CT to predict intensive care unit (ICU) admission in patients with COVID-19. Furthermore, developments and progress integrating artificial intelligence (AI) with computer-aided design (CAD) software for diagnostic imaging allow for objective, unbiased, and rapid assessment of CT images.
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Affiliation(s)
- Maria Elena Laino
- Artificial Intelligence Center, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Angela Ammirabile
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Ludovica Lofino
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Dara Joseph Lundon
- Artificial Intelligence Center, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Humanitas Clinical and Research Center—IRCCS, Via Manzoni 56, 20089 Rozzano, Italy
| | - Marco Francone
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Victor Savevski
- Artificial Intelligence Center, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
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10
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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.
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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
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11
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Ogata H, Mori M, Jingushi Y, Matsuzaki H, Katahira K, Ishimatsu A, Enokizu-Ogawa A, Taguchi K, Moriwaki A, Yoshida M. Impact of visceral fat on the prognosis of coronavirus disease 2019: an observational cohort study. BMC Infect Dis 2021; 21:1240. [PMID: 34893021 PMCID: PMC8660963 DOI: 10.1186/s12879-021-06958-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 12/07/2021] [Indexed: 01/08/2023] Open
Abstract
Background Clarification of the risk factors for coronavirus disease 2019 (COVID-19) severity is strongly warranted for global health. Recent studies have indicated that elevated body mass index (BMI) is associated with unfavorable progression of COVID-19. This is assumed to be due to excessive deposition of visceral adipose tissue (VAT); however, the evidence investigating the association between intra-abdominal fat and COVID-19 prognosis is sparse. We therefore investigated whether measuring the amount of intra-abdominal fat is useful to predict the prognosis of COVID-19. Methods The present study enrolled 53 consecutive cases of COVID-19 patients aged ≥ 20 years with chest computed tomography (CT) scans. The VAT area, total adipose tissue (TAT) area, and VAT/TAT ratio were estimated using axial CT images at the level of the upper pole of the right kidney. Severe COVID-19 was defined as death or acute respiratory failure demanding oxygen at ≥ 6 L per minute, a high-flow nasal cannula, or mechanical ventilation. The association of VAT/TAT with the incidence of progression to a severe state was estimated as a hazard ratio (HR) using Cox regression analysis. To compare the prediction ability for COVID-19 disease progression between BMI and VAT/TAT, the area under the receiver operating characteristic curve (AUC) of each was assessed. Results A total of 15 cases (28.3% of the whole study subjects) progressed to severe stages. The incidence of developing severe COVID-19 increased significantly with VAT/TAT (HR per 1% increase = 1.040 (95% CI 1.008–1.074), P = 0.01). After adjustment for potential confounders, the positive association of VAT/TAT with COVID-19 aggravation remained significant (multivariable-adjusted HR = 1.055 (95% CI 1.000–1.112) per 1% increase, P = 0.049). The predictive ability of VAT/TAT for COVID-19 becoming severe was significantly better than that of BMI (AUC of 0.73 for VAT/TAT and 0.50 for BMI; P = 0.0495 for the difference). Conclusions A higher ratio of VAT/TAT was an independent risk factor for disease progression among COVID-19 patients. VAT/TAT was superior to BMI in predicting COVID-19 morbidity. COVID-19 patients with high VAT/TAT levels should be carefully observed as high-risk individuals for morbidity and mortality. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-021-06958-z.
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Affiliation(s)
- Hiroaki Ogata
- Department of Respiratory Medicine, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan.
| | - Masahiro Mori
- Department of Radiology, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
| | - Yujiro Jingushi
- Department of Respiratory Medicine, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
| | - Hiroshi Matsuzaki
- Department of Pediatrics, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
| | - Katsuyuki Katahira
- Department of Respiratory Medicine, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
| | - Akiko Ishimatsu
- Department of Respiratory Medicine, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
| | - Aimi Enokizu-Ogawa
- Department of Respiratory Medicine, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
| | - Kazuhito Taguchi
- Department of Respiratory Medicine, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
| | - Atsushi Moriwaki
- Department of Respiratory Medicine, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
| | - Makoto Yoshida
- Department of Respiratory Medicine, National Hospital Organization Fukuoka National Hospital, 4-39-1 Yakatabaru, Minami-ku, Fukuoka, 811-1394, Japan
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12
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Gryczyńska W, Litvinov N, Bitew B, Bartosz Z, Kośmider W, Bogdański P, Skrypnik D. Excess Body Mass-A Factor Leading to the Deterioration of COVID-19 and Its Complications-A Narrative Review. Viruses 2021; 13:v13122427. [PMID: 34960696 PMCID: PMC8708912 DOI: 10.3390/v13122427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 11/30/2021] [Indexed: 01/08/2023] Open
Abstract
Currently, the world is facing two serious pandemics: obesity and COVID-19. It is well-established that the prevalence of obesity has risen dramatically, causing a deterioration in the health quality of the population and increasing susceptibility for the unfavourable course of acute infections. It has been observed that excess body mass significantly influences the COVID-19 outcome. The aim of this review is to present the latest scientific reports on the impact of excess body mass on the course and complications of COVID-19. The Web of Science, PubMed, and Google Scholar databases were searched. Only studies reporting patients stated to be COVID-19 positive based on the results of a nasopharyngeal swab and the ribonucleic acid test were included. It is shown that thromboembolic and ischemic complications, namely stroke, disseminated intravascular coagulation, severe hyperglycaemia, and leukoencephalopathy are more likely to appear in COVID-19 positive patients with obesity compared to non-obese subjects. COVID-19 complications such as cardiomyopathy, dysrhythmias, endothelial dysfunction, acute kidney injury, dyslipidaemia, lung lesions and acute respiratory distress syndrome have a worse outcome among obese patients.
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Affiliation(s)
- Weronika Gryczyńska
- Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (W.G.); (N.L.); (B.B.); (Z.B.); (W.K.)
| | - Nikita Litvinov
- Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (W.G.); (N.L.); (B.B.); (Z.B.); (W.K.)
| | - Bezawit Bitew
- Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (W.G.); (N.L.); (B.B.); (Z.B.); (W.K.)
- Ethiopian Medical Students’ Association, Zambia Street, Addis Ababa P.O. Box 9302, Ethiopia
| | - Zuzanna Bartosz
- Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (W.G.); (N.L.); (B.B.); (Z.B.); (W.K.)
| | - Weronika Kośmider
- Faculty of Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (W.G.); (N.L.); (B.B.); (Z.B.); (W.K.)
| | - Paweł Bogdański
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, 60-569 Poznan, Poland;
| | - Damian Skrypnik
- Department of Treatment of Obesity, Metabolic Disorders and Clinical Dietetics, Poznan University of Medical Sciences, 60-569 Poznan, Poland;
- Correspondence:
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13
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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.
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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
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14
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Sanchis-Gomar F, Lavie CJ, Neeland IJ, Lippi G. Does abdominal obesity influence immunological response to SARS-CoV-2 infection? Expert Rev Endocrinol Metab 2021; 16:271-272. [PMID: 34533093 PMCID: PMC8459928 DOI: 10.1080/17446651.2021.1979392] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 08/24/2021] [Indexed: 01/24/2023]
Affiliation(s)
- Fabian Sanchis-Gomar
- Department of Physiology, Faculty of Medicine, University of Valencia and Incliva Biomedical Research Institute, Valencia, Spain
| | - Carl J. Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School - The University of Queensland School of Medicine, New Orleans, LA, USA
| | - Ian J. Neeland
- UH Center for Cardiovascular Prevention and Center for Integrated and Novel Approaches in Vascular-Metabolic Disease (CINEMA), Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Giuseppe Lippi
- Section of Clinical Biochemistry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
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15
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Lasbleiz A, Gaborit B, Soghomonian A, Bartoli A, Ancel P, Jacquier A, Dutour A. COVID-19 and Obesity: Role of Ectopic Visceral and Epicardial Adipose Tissues in Myocardial Injury. Front Endocrinol (Lausanne) 2021; 12:726967. [PMID: 34484128 PMCID: PMC8415546 DOI: 10.3389/fendo.2021.726967] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 07/27/2021] [Indexed: 01/08/2023] Open
Abstract
In March 2020, the WHO declared coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a global pandemic. Obesity was soon identified as a risk factor for poor prognosis, with an increased risk of intensive care admissions and mechanical ventilation, but also of adverse cardiovascular events. Obesity is associated with adipose tissue, chronic low-grade inflammation, and immune dysregulation with hypertrophy and hyperplasia of adipocytes and overexpression of pro-inflammatory cytokines. However, to implement appropriate therapeutic strategies, exact mechanisms must be clarified. The role of white visceral adipose tissue, increased in individuals with obesity, seems important, as a viral reservoir for SARS-CoV-2 via angiotensin-converting enzyme 2 (ACE2) receptors. After infection of host cells, the activation of pro-inflammatory cytokines creates a setting conducive to the "cytokine storm" and macrophage activation syndrome associated with progression to acute respiratory distress syndrome. In obesity, systemic viral spread, entry, and prolonged viral shedding in already inflamed adipose tissue may spur immune responses and subsequent amplification of a cytokine cascade, causing worse outcomes. More precisely, visceral adipose tissue, more than subcutaneous fat, could predict intensive care admission; and lower density of epicardial adipose tissue (EAT) could be associated with worse outcome. EAT, an ectopic adipose tissue that surrounds the myocardium, could fuel COVID-19-induced cardiac injury and myocarditis, and extensive pneumopathy, by strong expression of inflammatory mediators that could diffuse paracrinally through the vascular wall. The purpose of this review is to ascertain what mechanisms may be involved in unfavorable prognosis among COVID-19 patients with obesity, especially cardiovascular events, emphasizing the harmful role of excess ectopic adipose tissue, particularly EAT.
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Affiliation(s)
- Adèle Lasbleiz
- Department of Endocrinology, Metabolic Diseases and Nutrition, Pôle ENDO, APHM, Marseille, France
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
| | - Bénédicte Gaborit
- Department of Endocrinology, Metabolic Diseases and Nutrition, Pôle ENDO, APHM, Marseille, France
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
| | - Astrid Soghomonian
- Department of Endocrinology, Metabolic Diseases and Nutrition, Pôle ENDO, APHM, Marseille, France
| | - Axel Bartoli
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- Department of Medical Imaging, Hôpital Universitaire Timone APHM, Marseille, France
| | - Patricia Ancel
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
| | - Alexis Jacquier
- Aix Marseille Univ, CNRS, CRMBM, Marseille, France
- Department of Medical Imaging, Hôpital Universitaire Timone APHM, Marseille, France
| | - Anne Dutour
- Department of Endocrinology, Metabolic Diseases and Nutrition, Pôle ENDO, APHM, Marseille, France
- Aix Marseille Univ, INSERM, INRAE, C2VN, Marseille, France
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16
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Schiaffino S, Codari M, Cozzi A, Albano D, Alì M, Arioli R, Avola E, Bnà C, Cariati M, Carriero S, Cressoni M, Danna PSC, Della Pepa G, Di Leo G, Dolci F, Falaschi Z, Flor N, Foà RA, Gitto S, Leati G, Magni V, Malavazos AE, Mauri G, Messina C, Monfardini L, Paschè A, Pesapane F, Sconfienza LM, Secchi F, Segalini E, Spinazzola A, Tombini V, Tresoldi S, Vanzulli A, Vicentin I, Zagaria D, Fleischmann D, Sardanelli F. Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features. J Pers Med 2021; 11:501. [PMID: 34204911 PMCID: PMC8230339 DOI: 10.3390/jpm11060501] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/31/2021] [Accepted: 06/01/2021] [Indexed: 12/26/2022] Open
Abstract
Pulmonary parenchymal and vascular damage are frequently reported in COVID-19 patients and can be assessed with unenhanced chest computed tomography (CT), widely used as a triaging exam. Integrating clinical data, chest CT features, and CT-derived vascular metrics, we aimed to build a predictive model of in-hospital mortality using univariate analysis (Mann-Whitney U test) and machine learning models (support vectors machines (SVM) and multilayer perceptrons (MLP)). Patients with RT-PCR-confirmed SARS-CoV-2 infection and unenhanced chest CT performed on emergency department admission were included after retrieving their outcome (discharge or death), with an 85/15% training/test dataset split. Out of 897 patients, the 229 (26%) patients who died during hospitalization had higher median pulmonary artery diameter (29.0 mm) than patients who survived (27.0 mm, p < 0.001) and higher median ascending aortic diameter (36.6 mm versus 34.0 mm, p < 0.001). SVM and MLP best models considered the same ten input features, yielding a 0.747 (precision 0.522, recall 0.800) and 0.844 (precision 0.680, recall 0.567) area under the curve, respectively. In this model integrating clinical and radiological data, pulmonary artery diameter was the third most important predictor after age and parenchymal involvement extent, contributing to reliable in-hospital mortality prediction, highlighting the value of vascular metrics in improving patient stratification.
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Affiliation(s)
- Simone Schiaffino
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 Milan, Italy; (S.S.); (M.C.); (G.D.L.); (F.S.); (F.S.)
| | - Marina Codari
- Department of Radiology, School of Medicine, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA; (M.C.); (D.F.)
| | - Andrea Cozzi
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milan, Italy; (S.G.); (V.M.); (L.M.S.)
| | - Domenico Albano
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy; (D.A.); (C.M.)
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Section of Radiological Sciences, Università degli Studi di Palermo, Via del Vespro 127, 90127 Palermo, Italy
| | - Marco Alì
- Department of Diagnostic Imaging and Stereotactic Radiosurgery, C.D.I. Centro Diagnostico Italiano S.p.A., Via Simone Saint Bon 20, 20147 Milan, Italy;
| | - Roberto Arioli
- Radiodiagnostics, Department of Diagnosis and Treatment Services, Azienda Ospedaliero Universitaria Maggiore della Carità, Corso Giuseppe Mazzini 18, 28100 Novara, Italy; (R.A.); (P.S.C.D.); (Z.F.); (A.P.); (D.Z.)
| | - Emanuele Avola
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy; (E.A.); (S.C.); (G.D.P.)
| | - Claudio Bnà
- Unit of Interventional Radiology, Unit of Radiology, Fondazione Poliambulanza Istituto Ospedaliero, Via Leonida Bissolati 57, 25124 Brescia, Italy; (C.B.); (L.M.)
| | - Maurizio Cariati
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, Via Antonio di Rudinì 8, 20142 Milan, Italy; (M.C.); (R.A.F.); (S.T.)
| | - Serena Carriero
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy; (E.A.); (S.C.); (G.D.P.)
| | - Massimo Cressoni
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 Milan, Italy; (S.S.); (M.C.); (G.D.L.); (F.S.); (F.S.)
| | - Pietro S. C. Danna
- Radiodiagnostics, Department of Diagnosis and Treatment Services, Azienda Ospedaliero Universitaria Maggiore della Carità, Corso Giuseppe Mazzini 18, 28100 Novara, Italy; (R.A.); (P.S.C.D.); (Z.F.); (A.P.); (D.Z.)
| | - Gianmarco Della Pepa
- Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy; (E.A.); (S.C.); (G.D.P.)
| | - Giovanni Di Leo
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 Milan, Italy; (S.S.); (M.C.); (G.D.L.); (F.S.); (F.S.)
| | - Francesco Dolci
- Emergency Department, ASST Crema—Ospedale Maggiore, Largo Ugo Dossena 2, 26013 Crema, Italy;
| | - Zeno Falaschi
- Radiodiagnostics, Department of Diagnosis and Treatment Services, Azienda Ospedaliero Universitaria Maggiore della Carità, Corso Giuseppe Mazzini 18, 28100 Novara, Italy; (R.A.); (P.S.C.D.); (Z.F.); (A.P.); (D.Z.)
| | - Nicola Flor
- Unit of Radiology, Ospedale Universitario Luigi Sacco—ASST Fatebenefratelli Sacco, Via Giovanni Battista Grassi 74, 20157 Milan, Italy;
| | - Riccardo A. Foà
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, Via Antonio di Rudinì 8, 20142 Milan, Italy; (M.C.); (R.A.F.); (S.T.)
- Unit of Interventional Radiology, Unit of Radiology, ASST Crema—Ospedale Maggiore, Largo Ugo Dossena 2, 26013 Crema, Italy; (G.L.); (A.S.)
| | - Salvatore Gitto
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milan, Italy; (S.G.); (V.M.); (L.M.S.)
| | - Giovanni Leati
- Unit of Interventional Radiology, Unit of Radiology, ASST Crema—Ospedale Maggiore, Largo Ugo Dossena 2, 26013 Crema, Italy; (G.L.); (A.S.)
| | - Veronica Magni
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milan, Italy; (S.G.); (V.M.); (L.M.S.)
| | - Alexis E. Malavazos
- High Speciality Center for Dietetics, Nutritional Education and Cardiometabolic Prevention, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 Milan, Italy;
| | - Giovanni Mauri
- Department of Oncology and Hematology-Oncology, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy; (G.M.); (A.V.)
- Division of Interventional Radiology, IEO—Istituto Europeo di Oncologia IRCCS, Via Giuseppe Ripamonti 435, 20141 Milan, Italy
| | - Carmelo Messina
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy; (D.A.); (C.M.)
| | - Lorenzo Monfardini
- Unit of Interventional Radiology, Unit of Radiology, Fondazione Poliambulanza Istituto Ospedaliero, Via Leonida Bissolati 57, 25124 Brescia, Italy; (C.B.); (L.M.)
| | - Alessio Paschè
- Radiodiagnostics, Department of Diagnosis and Treatment Services, Azienda Ospedaliero Universitaria Maggiore della Carità, Corso Giuseppe Mazzini 18, 28100 Novara, Italy; (R.A.); (P.S.C.D.); (Z.F.); (A.P.); (D.Z.)
| | - Filippo Pesapane
- Division of Breast Radiology, IEO—Istituto Europeo di Oncologia IRCCS, Via Giuseppe Ripamonti 435, 20141 Milan, Italy;
| | - Luca M. Sconfienza
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milan, Italy; (S.G.); (V.M.); (L.M.S.)
- IRCCS Istituto Ortopedico Galeazzi, Via Riccardo Galeazzi 4, 20161 Milan, Italy; (D.A.); (C.M.)
| | - Francesco Secchi
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 Milan, Italy; (S.S.); (M.C.); (G.D.L.); (F.S.); (F.S.)
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milan, Italy; (S.G.); (V.M.); (L.M.S.)
| | - Edoardo Segalini
- Department of General and Emergency Surgery, ASST Crema—Ospedale Maggiore, Largo Ugo Dossena 2, 26013 Crema, Italy;
| | - Angelo Spinazzola
- Unit of Interventional Radiology, Unit of Radiology, ASST Crema—Ospedale Maggiore, Largo Ugo Dossena 2, 26013 Crema, Italy; (G.L.); (A.S.)
| | - Valeria Tombini
- ASST Grande Ospedale Metropolitano Niguarda, Piazza dell’Ospedale Maggiore 3, 20162 Milan, Italy; (V.T.); (I.V.)
| | - Silvia Tresoldi
- Diagnostic and Interventional Radiology Service, ASST Santi Paolo e Carlo, Via Antonio di Rudinì 8, 20142 Milan, Italy; (M.C.); (R.A.F.); (S.T.)
| | - Angelo Vanzulli
- Department of Oncology and Hematology-Oncology, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milan, Italy; (G.M.); (A.V.)
- ASST Grande Ospedale Metropolitano Niguarda, Piazza dell’Ospedale Maggiore 3, 20162 Milan, Italy; (V.T.); (I.V.)
| | - Ilaria Vicentin
- ASST Grande Ospedale Metropolitano Niguarda, Piazza dell’Ospedale Maggiore 3, 20162 Milan, Italy; (V.T.); (I.V.)
| | - Domenico Zagaria
- Radiodiagnostics, Department of Diagnosis and Treatment Services, Azienda Ospedaliero Universitaria Maggiore della Carità, Corso Giuseppe Mazzini 18, 28100 Novara, Italy; (R.A.); (P.S.C.D.); (Z.F.); (A.P.); (D.Z.)
| | - Dominik Fleischmann
- Department of Radiology, School of Medicine, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA; (M.C.); (D.F.)
- Cardiovascular Institute, 265 Campus Drive, Stanford University, Stanford, CA 94305, USA
| | - Francesco Sardanelli
- Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 Milan, Italy; (S.S.); (M.C.); (G.D.L.); (F.S.); (F.S.)
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milan, Italy; (S.G.); (V.M.); (L.M.S.)
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17
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Ali AM, Kunugi H. Screening for Sarcopenia (Physical Frailty) in the COVID-19 Era. Int J Endocrinol 2021; 2021:5563960. [PMID: 34113379 PMCID: PMC8152925 DOI: 10.1155/2021/5563960] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/22/2021] [Accepted: 04/30/2021] [Indexed: 01/08/2023] Open
Abstract
Although the numbers of aged populations have risen considerably in the last few decades, the current coronavirus disease 2019 (COVID-19) has revealed an extensive vulnerability among these populations. Sarcopenia is an age-related disorder that increases hospitalization, dependencies, and mortality in older adults. It starts to develop in midlife or even earlier as a result of unbalanced diet/poor nutrition and low levels of physical activity, in addition to chronic disorders such as obesity and diabetes mellitus. Given that social isolation is adopted as the most protective measure against COVID-19, the level of physical activity and the intake of adequate diet have considerably declined, especially among older adults-denoting an increased possibility for developing sarcopenia. Research also shows a higher vulnerability of sarcopenic people to COVID-19 as well as the development of wasting disorders such as sarcopenia and cachexia in a considerable proportion of symptomatic and recovering COVID-19 patients. Muscular wasting in COVID-19 is associated with poor prognosis. Accordingly, early detection and proper management of sarcopenia and wasting conditions in older adults and COVID-19 patients may minimize morbidity and mortality during the current COVID-19 crisis. This review explored different aspects of screening for sarcopenia, stressing their relevance to the detection of altered muscular structure and performance in patients with COVID-19. Current guidelines recommend prior evaluation of muscle strength by simple measures such as grip strength to identify individuals with proven weakness who then would be screened for muscle mass loss. The latter is best measured by MRI and CT. However, due to the high cost and radiation risk entailed by these techniques, other simpler and cheaper techniques such as DXA and ultrasound are given preference. Muscle loss in COVID-19 patients was measured during the acute phase by CT scanning of the pectoralis muscle simultaneously during a routine check for lung fibrosis, which seems to be an efficient evaluation of sarcopenia among those patients with no additional cost. In recovering patients, muscle strength and physical performance have been evaluated by electromyography and traditional tests such as the six-minute walk test. Effective preventive and therapeutic interventions are necessary in order to prevent muscle loss and associated physical decline in COVID-19 patients.
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Affiliation(s)
- Amira Mohammed Ali
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 187-8553, Japan
- Department of Psychiatric Nursing and Mental Health, Faculty of Nursing, Alexandria University, Alexandria, Egypt
| | - Hiroshi Kunugi
- Department of Psychiatry, Teikyo University School of Medicine, Tokyo, Japan
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
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Demeulemeester F, de Punder K, van Heijningen M, van Doesburg F. Obesity as a Risk Factor for Severe COVID-19 and Complications: A Review. Cells 2021; 10:933. [PMID: 33920604 PMCID: PMC8073853 DOI: 10.3390/cells10040933] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/13/2021] [Accepted: 04/14/2021] [Indexed: 02/07/2023] Open
Abstract
Emerging data suggest that obesity is a major risk factor for the progression of major complications such as acute respiratory distress syndrome (ARDS), cytokine storm and coagulopathy in COVID-19. Understanding the mechanisms underlying the link between obesity and disease severity as a result of SARS-CoV-2 infection is crucial for the development of new therapeutic interventions and preventive measures in this high-risk group. We propose that multiple features of obesity contribute to the prevalence of severe COVID-19 and complications. First, viral entry can be facilitated by the upregulation of viral entry receptors, like angiotensin-converting enzyme 2 (ACE2), among others. Second, obesity-induced chronic inflammation and disruptions of insulin and leptin signaling can result in impaired viral clearance and a disproportionate or hyper-inflammatory response, which together with elevated ferritin levels can be a direct cause for ARDS and cytokine storm. Third, the negative consequences of obesity on blood coagulation can contribute to the progression of thrombus formation and hemorrhage. In this review we first summarize clinical findings on the relationship between obesity and COVID-19 disease severity and then further discuss potential mechanisms that could explain the risk for major complications in patients suffering from obesity.
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Body composition predictors of outcome in patients with COVID-19. Int J Obes (Lond) 2021; 45:2238-2243. [PMID: 34244597 PMCID: PMC8267764 DOI: 10.1038/s41366-021-00907-1] [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: 04/10/2021] [Revised: 06/10/2021] [Accepted: 07/01/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND/OBJECTIVE Obesity is a strong risk factor for adverse outcomes in patients hospitalized with COVID-19, however, the distribution of fat and the amount of muscle mass are more accurate risk factors than BMI. The objective of this study was to assess body composition measures obtained on opportunistic abdominal CTs as predictors of outcome in patients hospitalized with COVID-19. We hypothesized that elevated visceral and intermuscular adipose tissue would be associated with adverse outcome. SUBJECTS/METHODS Our retrospective study was IRB-approved and HIPAA-compliant. The study group comprised 124 patients (median age: 68 years, IQR: 56, 77; 59 weeks, 65 months) who were admitted with COVID-19 to a single hospital and who had undergone abdominal CT for clinical purposes. Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intermuscular adipose tissue (IMAT), and paraspinal and abdominal muscle cross-sectional areas (CSA) were assessed. Clinical information including prognostic factors, time of admission to the intensive care unit (ICU) and time of death within 28 days were obtained. Multivariate time-to-event competing risk models were fitted to estimate the hazard ratio (HR) for a composite outcome of ICU admission/mortality associated with a one standard deviation increase in each body compositional measure. Each model was adjusted for age, sex, race, BMI, and cardiometabolic comorbidities. RESULTS There were 50 patients who were admitted to the ICU or deceased over a median time of 1 day [IQR 1, 6] from hospital admission. Higher VAT/SAT ratio (HR of 1.30; 95% CI 1.04-1.62, p = 0.022) and higher IMAT CSA (HR of 1.44; 95% CI 1.10-1.89, p = 0.008) were associated with a reduced time to ICU admission or death in adjusted models. CONCLUSION VAT/SAT and IMAT are predictors of adverse outcome in patients hospitalized with COVID-19, independent of other established prognostic factors. This suggests that body composition measures may serve as novel biomarkers of outcome in patients with COVID-19.
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