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Skeletal muscle quality as assessed by CT-derived skeletal muscle density is associated with 6-month mortality in mechanically ventilated critically ill patients
Open accessAbstract
BACKGROUND: Muscle quantity at intensive care unit (ICU) admission has been independently associated with mortality. In addition to quantity, muscle quality may be important for survival. Muscle quality is influenced by fatty infiltration or myosteatosis, which can be assessed on computed tomography (CT) scans by analysing skeletal muscle density (SMD) and the amount of intermuscular adipose tissue (IMAT). We investigated whether CT-derived low skeletal muscle quality at ICU admission is independently associated with 6-month mortality and other clinical outcomes. METHODS: This retrospective study included 491 mechanically ventilated critically ill adult patients with a CT scan of the abdomen made 1 day before to 4 days after ICU admission. Cox regression analysis was used to determine the association between SMD or IMAT and 6-month mortality, with adjustments for Acute Physiological, Age, and Chronic Health Evaluation (APACHE) II score, body mass index (BMI), and skeletal muscle area. Logistic and linear regression analyses were used for other clinical outcomes. RESULTS: ; p = 0.004). Higher SMD was associated with a lower 6-month mortality (hazard ratio (HR) per 10 HU, 0.640; 95% confidence interval (CI), 0.552-0.742; p < 0.001), and also after correction for APACHE II score, BMI, and skeletal muscle area (HR, 0.774; 95% CI, 0.643-0.931; p = 0.006). Higher IMAT was not significantly associated with higher 6-month mortality after adjustment for confounders. A 10 HU increase in SMD was associated with a 14% shorter hospital length of stay. CONCLUSIONS: Low skeletal muscle quality at ICU admission, as assessed by CT-derived skeletal muscle density, is independently associated with higher 6-month mortality in mechanically ventilated patients. Thus, muscle quality as well as muscle quantity are prognostic factors in the ICU. TRIAL REGISTRATION: Retrospectively registered (initial release on 06/23/2016) at ClinicalTrials.gov: NCT02817646 .
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“Low skeletal-derived muscle density has been linked to higher 6-month mortality in mechanically ventilated patients, implying that muscle quality as well as muscle quantity are prognostic factors in intensive care units (Looijaard et al., 2016).”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Looijaard et al., 2016
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“Muscle mass can be evaluated by ultrasound [18], computerized tomography scan [19], or bioelectric impedance analysis (BIA) [20].”
From ESPEN practical and partially revised guideline: Clinical nutrition in the intensive care unit (2023) · cites this paper as [19]
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“In a retrospective study, Song et al. (167) showed a significant improvement in ICU outcomes of ventilated critically ill patients receiving > 90% of target protein intake.”
From ESPEN guideline on clinical nutrition in the intensive care unit. (2019) · cites this paper as [167]
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“Low skeletal-derived muscle density has been linked to higher 6-month mortality in mechanically ventilated patients, implying that muscle quality as well as muscle quantity are prognostic factors in intensive care units (Looijaard et al., 2016).”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Looijaard et al., 2016
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“Low muscle density has also been associated with poor survival and increased risk of hospitalization (Cawthon et al., 2009; Looijaard et al., 2016).”
From Myosteatosis in the Context of Skeletal Muscle Function Deficit: An Interdisciplinary Workshop at the National Institute on Aging (2020) · cites this paper as Looijaard et al., 2016
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Cites
(2000) · PubMed · Cited by 13,173
(1992) · Applied Ergonomics · doi:10.1016/0003-6870(92)90318-p · Cited by 5,774
Functional Disability 5 Years after Acute Respiratory Distress Syndrome
Herridge, M. S., Tansey, C. M., Matte, A. L., TOMLINSON, G. A., Diaz-Granados, N., Cooper, A., Guest, C. B., Mazer, C. D., Mehta, S., Stewart, T. E., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1011802 · Cited by 2,892
Martin, L., Birdsell, L., Macdonald, N., Reiman, T., Clandinin, M. T., McCargar, L. J., Murphy, R. A., Ghosh, S., Sawyer, M. B., & Baracos, V. E. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.2722 · Cited by 2,761
Long-term cognitive impairment and functional disability among survivors of severe sepsis.
Iwashyna, T. J., Ely, E. W., Smith, D. M., & Langa, K. M. (2010) · JAMA · doi:10.1001/jama.2010.1553 · Cited by 2,582
Mourtzakis, M., Prado, C. M. M., Lieffers, J. R., Reiman, T., McCargar, L. J., & Baracos, V. E. (2008) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/h08-075 · Cited by 2,224
Acute skeletal muscle wasting in critical illness
Puthucheary, Z. A., Rawal, J., McPhail, M., Connolly, B., Ratnayake, G., Chan, P., Hopkinson, N. S., Padhke, R., Dew, T., Sidhu, P. S., et al. (2013) · JAMA · doi:10.1001/jama.2013.278481 · Cited by 2,103
Shen, W., Punyanitya, M., Wang, Z., Gallagher, D., St.-Onge, M.-P., Albu, J., Heymsfield, S. B., & Heshka, S. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00744.2004 · Cited by 1,692
Paresis Acquired in the Intensive Care Unit A Prospective Multicenter Study
Jonghe, B. D. (2002) · JAMA · doi:10.1001/jama.288.22.2859 · Cited by 1,518
Longitudinal study of muscle strength, quality, and adipose tissue infiltration
Delmonico, M. J., Harris, T. B., Visser, M., Park, S. W., Conroy, M. B., Velasquez-Mieyer, P., Boudreau, R., Manini, T. M., Nevitt, M., Newman, A. B., et al. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28047 · Cited by 1,446
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ESPEN guideline on clinical nutrition in the intensive care unit.
Singer, P., Blaser, A. R., Berger, M. M., Alhazzani, W., Calder, P. C., Casaer, M. P., Hiesmayr, M., Mayer, K., Montejo, J. C., Pichard, C., et al. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2018.08.037 · Cited by 2,904
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Singer, P., Blaser, A. R., Berger, M. M., Calder, P. C., Casaer, M., Hiesmayr, M., Mayer, K., Montejo-Gonzalez, J. C., Pichard, C., Preiser, J.-C., et al. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.07.011 · Cited by 793
Correa-de-Araujo, R., Addison, O., Miljkovic, I., Goodpaster, B. H., Bergman, B. C., Clark, R. V., Elena, J. W., Esser, K. A., Ferrucci, L., Harris-Love, M. O., et al. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00963 · Cited by 468
Implications of low muscle mass across the continuum of care: a narrative review
Prado, C. M., Purcell, S. A., Alish, C., Pereira, S. L., Deutz, N. E., Heyland, D. K., Goodpaster, B. H., Tappenden, K. A., & Heymsfield, S. B. (2018) · Annals of Medicine · doi:10.1080/07853890.2018.1511918 · Cited by 286
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Prado, C. M., Landi, F., Chew, S. T. H., Atherton, P. J., Molinger, J., Ruck, T., & Gonzalez, M. C. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.07.041 · Cited by 237
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Soares, M. N., Eggelbusch, M., Naddaf, E., Gerrits, K. H. L., van der Schaaf, M., van den Borst, B., Wiersinga, W. J., van Vugt, M., Weijs, P. J. M., Murray, A. J., et al. (2022) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12896 · Cited by 247
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Berger, M. M., Reintam-Blaser, A., Calder, P. C., Casaer, M., Hiesmayr, M. J., Mayer, K., Montejo, J. C., Pichard, C., Preiser, J.-C., van Zanten, A. R. H., et al. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2018.07.009 · Cited by 171
Elke, G., Hartl, W. H., Kreymann, K. G., Adolph, M., Felbinger, T. W., Graf, T., de Heer, G., Heller, A. R., Kampa, U., Mayer, K., et al. (2019) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2019.05.002 · Cited by 158
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Hilmi, M., Jouinot, A., Burns, R. G., Pigneur, F., Mounier, R., Gondin, J., Neuzillet, C., & Goldwasser, F. (2018) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2018.12.003 · Cited by 145
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Morton, R. W., Traylor, D. A., Weijs, P. J. M., & Phillips, S. M. (2018) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000488 · Cited by 146
Self-citationParis, M. T., Tandon, P., Heyland, D. K., Furberg, H. F., Premji, T., Low, G., & Mourtzakis, M. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.01.008 · Cited by 129
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Kelly, O. J., Gilman, J. C., Boschiero, D., & Ilich, J. Z. (2019) · Nutrients · doi:10.3390/nu11040747 · Cited by 131
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Looijaard, W. G. P. M., Molinger, J., & Weijs, P. J. M. (2018) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000511 · Cited by 111
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Huber, F. A., Del Grande, F., Rizzo, S., Guglielmi, G., & Guggenberger, R. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims.2020.02.06 · Cited by 102
Sklar, M. C., Dres, M., Fan, E., Rubenfeld, G. D., Scales, D. C., Herridge, M. S., Rittayamai, N., Harhay, M. O., Reid, W. D., TOMLINSON, G. A., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.21520 · Cited by 97
ICU Admission Muscle and Fat Mass, Survival, and Disability at Discharge
Jaitovich, A., Khan, M. M. H. S., Itty, R., Chieng, H., Dumas, C. L., Nadendla, P., Fantauzzi, J. P., Yucel, R. M., Feustel, P. J., & Judson, M. A. (2018) · CHEST Journal · doi:10.1016/j.chest.2018.10.023 · Cited by 97
Looijaard, W. G. P. M., Stapel, S. N., Dekker, I. M., Rusticus, H., Remmelzwaal, S., Girbes, A. R. J., Weijs, P. J. M., & Straaten, H. M. O. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.07.020 · Cited by 92
Self-citationJi, Y. S., Cheng, B., Xu, Z., Ye, H., Lu, W., Luo, X., Fu, S., & Fang, X. (2018) · Journal of Critical Care · doi:10.1016/j.jcrc.2018.03.019 · Cited by 87
Pulmonary and Physical Rehabilitation in Critically Ill Patients
Jang, M. H., Shin, M., & Shin, Y. B. (2019) · Acute and Critical Care · doi:10.4266/acc.2019.00444 · Cited by 103
Preserving the quality of life: nutrition in the ICU
Singer, P. (2019) · Critical Care · doi:10.1186/s13054-019-2415-8 · Cited by 94
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Sizoo, D., de Heide, L. J. M., Emous, M., van Zutphen, T., Navis, G., & van Beek, A. P. (2021) · Obesity Surgery · doi:10.1007/s11695-020-05082-2 · Cited by 77
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Lee, Z., & Heyland, D. K. (2018) · Nutrition in Clinical Practice · doi:10.1002/ncp.10214 · Cited by 81
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van Gassel, R. J. J., Bels, J. L. M., Remij, L., van Bussel, B. C. T., Posthuma, R., Gietema, H. A., Verbunt, J., van der Horst, I. C. C., Damink, S. W. M. O., van Santen, S., et al. (2021) · Critical Care Medicine · doi:10.1097/ccm.0000000000005089 · Cited by 71
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Wischmeyer, P. E., Puthucheary, Z., Millán, Í. S., Bütz, D. E., & Grocott, M. P. W. (2017) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000431 · Cited by 66
Wandrag, L., Brett, S. J., Frost, G. S., Bountziouka, V., & Hickson, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0224565 · Cited by 66
Lortie, J. J., Gage, G., Rush, B., Heymsfield, S. B., Szczykutowicz, T. P., & Kuchnia, A. J. (2022) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13068 · Cited by 63
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Paris, M. T., Furberg, H. F., Petruzella, S., Akın, O., Hötker, A. M., & Mourtzakis, M. (2018) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1067 · Cited by 58
Looijaard, W. G. P. M., Dekker, I. M., Beishuizen, A., Girbes, A. R. J., Straaten, H. M. O., & Weijs, P. J. M. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.09.007 · Cited by 62
Self-citationWeinel, L. M., Summers, M. J., & Chapple, L. S. (2019) · Anaesthesia and Intensive Care · doi:10.1177/0310057x19875152 · Cited by 53
Tan, L., Ji, G., Bao, T., Fu, H., Yang, L. Y., & Yang, M. J. (2021) · Insights into Imaging · doi:10.1186/s13244-021-01106-2 · Cited by 53
Poltronieri, T. S., de Paula, N. S., & Chaves, G. V. (2020) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.12629 · Cited by 52
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Asakura, T., Yamada, Y., Suzuki, S., Namkoong, H., Okamori, S., Kusumoto, T., Niijima, Y., Ozaki, A., Hashimoto, M., Yagi, K., et al. (2018) · Respiratory Medicine · doi:10.1016/j.rmed.2018.10.023 · Cited by 44
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Morel, A., Ouamri, Y., Canouï‐Poitrine, F., Mulé, S., Champy, C. M., Ingels, A., Audard, V., Luciani, A., Grimbert, P., Matignon, M., et al. (2021) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.12853 · Cited by 37
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Akazawa, N., Okawa, N., Hino, T., Tsuji, R., Tamura, K., & Moriyama, H. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.11.028 · Cited by 35
Osuna‐Padilla, I. A., Rodríguez‐Moguel, N. C., Rodríguez‐Llamazares, S., Orsso, C. E., Prado, C. M. M., Ríos‐Ayala, M. A., Villanueva-Camacho, O., Aguilar‐Vargas, A., Pensado-Piedra, L. E., Juárez-Hernández, F., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.02.019 · Cited by 35
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Zhi, J., Shan, Q., Liang, L., Liu, H., & Huang, H. (2019) · Scientific Reports · doi:10.1038/s41598-019-55737-z · Cited by 28
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Bear, D. E., MacGowan, L., Elstad, M., Puthucheary, Z., Connolly, B. A., Wright, R., Hart, N., Harridge, S. D. R., Whelan, K., Barrett, N. A., et al. (2021) · Critical Care Medicine · doi:10.1097/ccm.0000000000004827 · Cited by 27
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Martinuzzi, A. L. N., Manzanares, W., Quesada, E., Reberendo, M. J., Baccaro, F. G., Aversa, I., Kecskes, C. E., Magnífico, L., González, V. C., Bolzicco, D., et al. (2021) · Nutrición Hospitalaria · doi:10.20960/nh.03749 · Cited by 27
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LOPEZ‐RUIZ, A. F., & KASHANI, K. B. (2020) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/mco.0000000000000673 · Cited by 27
Lugli, A. K., de Watteville, A., Hollinger, A., Goetz, N., & Heidegger, C. P. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8091395 · Cited by 27
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Ng, C. C., Lee, Z., Chan, W. Y., Jamaluddin, M. F. H., Tan, L. J., Sitaram, P. N., Ruslan, S. R., & Hasan, M. S. (2019) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1666 · Cited by 24
Seventer, E. V., Marquardt, J. P., Troschel, A. S., Best, T. D., Horick, N., Azoba, C. C., Newcomb, R. A., Roeland, E. J., Rosenthal, M. H., Bridge, C. P., et al. (2021) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2020.7618 · Cited by 22
Murea, M., Lenchik, L., Register, T. C., Russell, G. B., Xu, J., Smith, S. C., Bowden, D. W., Divers, J., & Freedman, B. I. (2018) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2018.03.004 · Cited by 22
Molinger, J., Pastva, A. M., Whittle, J., & Wischmeyer, P. E. (2020) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000748 · Cited by 22
(Mal)nutrition in critical illness and beyond: a narrative review
Pohlenz-Saw, J., Merriweather, J. L., & Wandrag, L. (2023) · Anaesthesia · doi:10.1111/anae.15951 · Cited by 24
Zhang, W., Tang, J. P., Tang, H., Xie, L., Wang, J., Wu, J., & Yang, M. J. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.10.006 · Cited by 21
Akazawa, N., Harada, K., Okawa, N., Kishi, M., Tamura, K., & Moriyama, H. (2020) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2020.105543 · Cited by 21
Cho, W. H., Choi, Y. Y., Byun, K. S., Lee, S. E., Jeon, D., Kim, Y. S., Han, J., & Yeo, H. J. (2019) · ASAIO Journal · doi:10.1097/mat.0000000000001006 · Cited by 20
Moon, S. W., Kim, S. Y., Choi, J. S., Leem, A. Y., Lee, S. H., Park, M. S., Kim, Y. S., & Chung, K. S. (2021) · Scientific Reports · doi:10.1038/s41598-021-02853-4 · Cited by 20
Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area
van Erck, D., Moeskops, P., Schoufour, J. D., Weijs, P. J. M., Reimer, W. J. M. S. O., van Mourik, M. S., Janmaat, Y. C., Planken, R. N., Vis, M. M., Baan, J., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.781860 · Cited by 20
Self-citationMyosteatosis as a Shared Biomarker for Sarcopenia and Cachexia Using MRI and Ultrasound
Lortie, J. J., Rush, B., Osterbauer, K. J., Colgan, T. J., Tamada, D., Garlapati, S., Campbell, T. C., Traynor, A. M., Leal, T. A. B., Patel, V., et al. (2022) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2022.896114 · Cited by 20
Bioimpedance phase angle is independently associated with myosteatosis: The Shizuoka study
Kato, M., Okada, Y., Nakano, W., Takagi, D., Ochi, M., Ohyagi, Y., Igase, M., & Tabara, Y. (2023) · Clinical Nutrition · doi:10.1016/j.clnu.2023.03.016 · Cited by 20
Maluf, V. A. B., Herrmann, F. R., Platon, A., Mendes, A., Dupertuis, Y. M., de Watteville, A., Heidegger, C. P., & Genton, L. (2025) · Critical Care · doi:10.1186/s13054-025-05427-2 · Cited by 19
Lees, M. J., Prado, C. M. M., Wischmeyer, P. E., & Phillips, S. M. (2024) · Critical Care Clinics · doi:10.1016/j.ccc.2024.08.011 · Cited by 18
Rio, T. M. D., Sacleux, S., Vionnet, J., Ichaı̈, P., Denys, A. L., Schneider, A. G., Coilly, A., Fraga, M. C., Wetzel, A., Koerfer, J., et al. (2023) · JHEP Reports · doi:10.1016/j.jhepr.2023.100758 · Cited by 17
Aldrich, L., Ispoglou, T., Prokopidis, K., Alqallaf, J., Wilson, O. J., & Stavropoulos‐Kalinoglou, A. (2024) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13662 · Cited by 20
Update on nutritional assessment and therapy in critical care
Blaser, A. R., Rice, T. W., & Deane, A. M. (2020) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000694 · Cited by 17
Value, Chronic Critical Illness, and Choosing Wisely
Madrid, R. A., & McGee, W. T. (2018) · Journal of Intensive Care Medicine · doi:10.1177/0885066618790942 · Cited by 16
Body Composition and Acquired Functional Impairment in Survivors of Pediatric Critical Illness
Ong, C., Lee, J. H., Senna, S., Chia, A. Z. H., Wong, J. J., Fortier, M. V., Leow, M. K., & Puthucheary, Z. (2019) · Critical Care Medicine · doi:10.1097/ccm.0000000000003720 · Cited by 16
Baldwin, C. E., Fetterplace, K., Beach, L. J., Kayambu, G., Paratz, J. D., Earthman, C. P., & Parry, S. M. (2019) · Journal of Parenteral and Enteral Nutrition · doi:10.1002/jpen.1719 · Cited by 15
Jaitovich, A. (2022) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00292.2022 · Cited by 16
Tee, Y., Cheng, C., Wu, Y., Hsu, C.-P., Kang, S., Hsieh, C., Derstine, B. A., Su, G. L., Wang, S. C., Fu, C., et al. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-020-01769-9 · Cited by 14
Evaluation of Changes in Quadriceps Femoris Muscle in Critically III Children Using Ultrasonography
Jain, A., Sankar, J., Kabra, S. K., Jat, K. R., Jana, M., & Lodha, R. (2022) · The Indian Journal of Pediatrics · doi:10.1007/s12098-022-04220-1 · Cited by 13
Khan, A., Welman, C. J., Abed, A., O’Hanlon, S., Redfern, A. D., Azim, S., López, P., Singh, F., & Khattak, A. (2023) · Cancers · doi:10.3390/cancers15051382 · Cited by 13
Myosteatosis Significantly Predicts Persistent Dyspnea and Mobility Problems in COVID-19 Survivors
LORENZO, R. D., Palmisano, A., Esposito, A., Gnasso, C., Nicoletti, V., Leone, R., Vignale, D., Falbo, E., Ferrante, M., Cilla, M., et al. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.846901 · Cited by 13
Predicting critical illness mortality and personalizing therapy: moving to multi-dimensional data
Puthucheary, Z., & Wischmeyer, P. E. (2017) · Critical Care · doi:10.1186/s13054-016-1597-6 · Cited by 13
Wang, S., Wang, M., Jiang, L., & Zhao, X. (2023) · European Journal of Radiology · doi:10.1016/j.ejrad.2023.111215 · Cited by 12
Erley, J., Roedl, K., Ozga, A., de Heer, G., Schubert, N., Breckow, J., Burdelski, C. M., Tahir, E., Kluge, S., Huber, T. B., et al. (2024) · European Radiology · doi:10.1007/s00330-024-10779-4 · Cited by 11
Kreher, R., Hille, G., Preim, B., Hinnerichs, M. S., Borggrefe, J., Surov, A., & Saalfeld, S. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.109622 · Cited by 12
Doğanay, M., Halil, M. G., Kaymak, Ç., Selek, U., Topçuoğlu, M. A., & Yalçın, Ş. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1509689 · Cited by 12
Pectoralis Muscle Mass on Chest CT at Admission Predicts Prognosis in Patients with Pneumonia
Yokosuka, R., Imai, R., Ro, S., Murakami, M., Okafuji, K., Kitamura, A., Tomishima, Y., Jinta, T., Nishimura, N., Tamura, T., et al. (2021) · Canadian Respiratory Journal · doi:10.1155/2021/3396950 · Cited by 11
Metadata
- Authors
- Looijaard, W. G. P. M., Dekker, I. M., Stapel, S. N., Girbes, A. R. J., Twisk, J. W. R., Oudemans-van Straaten, H. M., & Weijs, P. J. M.
- Affiliations
- Amsterdam Cardiovascular Sciences (NL)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Amsterdam University of Applied Sciences (NL)
- Corresponding author
- Looijaard, Wilhelmus G. P. M.
- ORCID
- Venue
- Critical Care
- Published
- 2016-12
- Volume
- 20
- Issue
- 1
- Pages
- 386-386
- ISSN
- 1364-8535 (ISSN-L)
- PMC
- PMC5131531
- OpenAlex
- W2556942267
- Cited by
- 218
- References
- 44
- Citations by year
- 2026: 13 · 2025: 28 · 2024: 22 · 2023: 26 · 2022: 28 · 2021: 31 · 2020: 22 · 2019: 23 · 2018: 18 · 2017: 7
- FWCI
- 12.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Critical Care (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Baxter Healthcare Corporation (US) (Research grant GHOL6290)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Intensive Care Unit Cognitive Disorders
- Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
- Keywords
- skeletal muscle quality, skeletal muscle density, intermuscular adipose tissue, myosteatosis, critically ill patients, mechanical ventilation, 6-month mortality, prognostic factors, length of hospital stay, intensive care unit admission
- MeSH terms
- Adult, Aged, Humans, Intensive Care Units, Length of Stay, Male, Middle Aged, Respiration, Artificial, Retrospective Studies, Tomography, X-Ray Computed, Proportional Hazards Models, Critical Illness, Muscle, Skeletal, Statistics, Nonparametric, APACHE, Abdominal Wall
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