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For: Kottlors J, Zopfs D, Fervers P, Bremm J, Abdullayev N, Maintz D, Tritt S, Persigehl T. Body composition on low dose chest CT is a significant predictor of poor clinical outcome in COVID-19 disease - A multicenter feasibility study. Eur J Radiol 2020;132:109274. [PMID: 32961451 DOI: 10.1016/j.ejrad.2020.109274] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Roy PK, Song MG, Jeon EB, Kim SH, Park SY. Effects of dietary intake behavior, food supply, nutrition, and health during the COVID-19 outbreak. Front Sustain Food Syst 2022;6. [DOI: 10.3389/fsufs.2022.1032750] [Reference Citation Analysis]
2 Ufuk F, Utebey AR, Yavas HG, Baser Oncel S, Akbudak IH, Sari T. Which Body Composition Parameters on Computed Tomography Are More Successful in Predicting the Prognosis of COVID-19 Patients? J Comput Assist Tomogr 2022. [PMID: 36219743 DOI: 10.1097/RCT.0000000000001387] [Reference Citation Analysis]
3 Kayahan Ulu EM, Terzi Ö. CT Measured Cardiovascular and Metabolic Risk Factors in Patients with COVID-19 Infections. tybd 2022;20:39-47. [DOI: 10.4274/tybd.galenos.2022.18199] [Reference Citation Analysis]
4 de Blasio F, Scalfi L, Castellucci B, Sacco AM, Berlingieri GM, Capitelli L, Alicante P, Sanduzzi A, Bocchino M. Poor Nutritional Status and Dynapenia Are Highly Prevalent in Post-Acute COVID-19. Front Nutr 2022;9:888485. [DOI: 10.3389/fnut.2022.888485] [Reference Citation Analysis]
5 Molwitz I, Ozga AK, Gerdes L, Ungerer A, Köhler D, Ristow I, Leiderer M, Adam G, Yamamura J. Prediction of abdominal CT body composition parameters by thoracic measurements as a new approach to detect sarcopenia in a COVID-19 cohort. Sci Rep 2022;12:6443. [PMID: 35440794 DOI: 10.1038/s41598-022-10266-0] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Salman R, Sammer MB, Serrallach BL, Sangi-haghpeykar H, Annapragada AV, Paul Guillerman R. Lower skeletal muscle mass on CT body composition analysis is associated with adverse clinical course and outcome in children with COVID-19. Radiol med. [DOI: 10.1007/s11547-022-01462-z] [Reference Citation Analysis]
7 Moon SW, Lee SH, Woo A, Leem AY, Lee SH, Chung KS, Kim EY, Jung JY, Kang YA, Park MS, Kim YS, Kim CO, Kim SY. Reference values of skeletal muscle area for diagnosis of sarcopenia using chest computed tomography in Asian general population. J Cachexia Sarcopenia Muscle 2022;13:955-65. [PMID: 35170229 DOI: 10.1002/jcsm.12946] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 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. [PMID: 35048222 DOI: 10.1007/s10140-021-02008-y] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
9 van der Meij BS, Ligthart-Melis GC, de van der Schueren MAE. Malnutrition in patients with COVID-19: assessment and consequences. Curr Opin Clin Nutr Metab Care 2021;24:543-54. [PMID: 34419971 DOI: 10.1097/MCO.0000000000000783] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
10 Bunnell KM, Thaweethai T, Buckless C, Shinnick DJ, Torriani M, Foulkes AS, Bredella MA. Body composition predictors of outcome in patients with COVID-19. Int J Obes (Lond) 2021. [PMID: 34244597 DOI: 10.1038/s41366-021-00907-1] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 14.0] [Reference Citation Analysis]
11 Poros B, Becker-Pennrich AS, Sabel B, Stemmler HJ, Wassilowsky D, Weig T, Hinske LC, Zwissler B, Ricke J, Hoechter DJ. Anthropometric analysis of body habitus and outcomes in critically ill COVID-19 patients. Obes Med 2021;25:100358. [PMID: 34250312 DOI: 10.1016/j.obmed.2021.100358] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
12 Clemente-Suárez VJ, Ramos-Campo DJ, Mielgo-Ayuso J, Dalamitros AA, Nikolaidis PA, Hormeño-Holgado A, Tornero-Aguilera JF. Nutrition in the Actual COVID-19 Pandemic. A Narrative Review. Nutrients 2021;13:1924. [PMID: 34205138 DOI: 10.3390/nu13061924] [Cited by in Crossref: 38] [Cited by in F6Publishing: 42] [Article Influence: 38.0] [Reference Citation Analysis]
13 Besutti G, Pellegrini M, Ottone M, Cantini M, Milic J, Bonelli E, Dolci G, Cassone G, Ligabue G, Spaggiari L, Pattacini P, Fasano T, Canovi S, Massari M, Salvarani C, Guaraldi G, Rossi PG; Reggio Emilia COVID-19 Working Group. The impact of chest CT body composition parameters on clinical outcomes in COVID-19 patients. PLoS One 2021;16:e0251768. [PMID: 33989341 DOI: 10.1371/journal.pone.0251768] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 13.0] [Reference Citation Analysis]
14 Viddeleer AR, Raaphorst J, Min M, Beenen LFM, Scheerder MJ, Vlaar APJ, Beudel M, Hemke R; Amsterdam UMC COVID-19 Biobank. Intramuscular adipose tissue at level Th12 is associated with survival in COVID-19. J Cachexia Sarcopenia Muscle 2021. [PMID: 33939338 DOI: 10.1002/jcsm.12696] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
15 Rothenberg E. Coronavirus Disease 19 from the Perspective of Ageing with Focus on Nutritional Status and Nutrition Management-A Narrative Review. Nutrients 2021;13:1294. [PMID: 33919840 DOI: 10.3390/nu13041294] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
16 Cava E, Carbone S. Coronavirus disease 2019 pandemic and alterations of body composition. Curr Opin Clin Nutr Metab Care 2021;24:229-35. [PMID: 33587365 DOI: 10.1097/MCO.0000000000000740] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
17 Schiaffino S, Albano D, Cozzi A, Messina C, Arioli R, Bnà C, Bruno A, Carbonaro LA, Carriero A, Carriero S, Danna PSC, D'Ascoli E, De Berardinis C, Della Pepa G, Falaschi Z, Gitto S, Malavazos AE, Mauri G, Monfardini L, Paschè A, Rizzati R, Secchi F, Vanzulli A, Tombini V, Vicentin I, Zagaria D, Sardanelli F, Sconfienza LM. CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19. Radiology 2021;300:E328-36. [PMID: 33724065 DOI: 10.1148/radiol.2021204141] [Cited by in Crossref: 23] [Cited by in F6Publishing: 27] [Article Influence: 23.0] [Reference Citation Analysis]