The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
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 .
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures



Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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]
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“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]
Experimental — accuracy not yet measuredIn the citing paper
“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
In the citing paper
“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
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Cited by
Sorted by citations
Items 101–200 of 218
Combination of DXA and BIS Predicts Jump Power Better Than Traditional Measures of Sarcopenia
Rush, B., Binkley, N., Krueger, D. C., Yamada, Y., & Kuchnia, A. J. (2021) · JBMR Plus · doi:10.1002/jbm4.10527 · Cited by 11
Nakagawara, K., Shiraishi, Y., Chubachi, S., Tanabe, N., Maetani, T., Asakura, T., Namkoong, H., Tanaka, H., Shimada, T., Azekawa, S., et al. (2024) · Clinical Nutrition · doi:10.1016/j.clnu.2024.02.004 · Cited by 10
Impact of Sarcopenia on Outcomes of Minimally Invasive Cardiac Surgery
Lim, M., Lee, C.-H., Ju, M. H., & Je, H. G. (2021) · Seminars in Thoracic and Cardiovascular Surgery · doi:10.1053/j.semtcvs.2021.11.005 · Cited by 9
Body Composition Assessment in Critically Ill Adults – Where are We now?
Lambell, K., Paris, M. T., González, M. C., & Prado, C. M. M. (2024) · Critical Care Clinics · doi:10.1016/j.ccc.2024.09.006 · Cited by 10
Besutti, G., Pellegrini, M., Ottone, M., Bonelli, E., Monelli, F., Farì, R., Milić, J., Dolci, G., Fasano, T., Canovi, S., et al. (2022) · Nutrients · doi:10.3390/nu14183764 · Cited by 8
The effect of protein enriched nutrition on diaphragm function in mechanically ventilated patients
Uyar, E., Yağmurdur, H., Yamanyar, S., Güdek, Y., Dal, M. C., & Coşar, A. (2023) · Nutrition Clinique et Métabolisme · doi:10.1016/j.nupar.2022.10.001 · Cited by 8
Sabatino, A., Pacchiarini, M. C., Regolisti, G., Ciuni, A., Sverzellati, N., Lesignoli, M., Picetti, E., Fiaccadori, E., & Mario, F. D. (2023) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2023.11.006 · Cited by 10
Kim, I. Y., Ye, B. M., Kim, S. R., Lee, D. W., & Lee, S. B. (2024) · Kidney Research and Clinical Practice · doi:10.23876/j.krcp.24.015 · Cited by 8
van Erck, D., Moeskops, P., Schoufour, J. D., Weijs, P. J. M., Reimer, W. J. M. S. O., van Mourik, M. S., Planken, R. N., Vis, M. M., Baan, J., Išgum, I., et al. (2024) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2024.06.013 · Cited by 8
Self-citationSkeletal muscle mass assessment in critically ill patients: method and application
Tanaka, K., Katayama, S., Okura, K., Okamura, M., Nawata, K., Nakanishi, N., & Shinohara, A. (2022) · Annals of Cancer Research and Therapy · doi:10.4993/acrt.30.93 · Cited by 8
Elfassy, M. D., Ferreyro, B. L., Rozenberg, D., Sklar, M. C., Mathur, S., Detsky, M. E., Goligher, E. C., Mehta, S., Prica, A. A., Thyagu, S., et al. (2021) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202008-914oc · Cited by 8
Murakawa, Y., Tamaki, A., Matsuzawa, R., Miyazaki, S., Hori, T., Naide, M., & Sakai, K. (2024) · Respiratory Medicine · doi:10.1016/j.rmed.2024.107746 · Cited by 7
Du, X., Sun, P., Yan, Y., Gong, X., Lian, Y.-F., & Pan, Z. (2021) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-021-04333-2 · Cited by 7
Vigneron, C., Laousy, O., Chassagnon, G., Vakalopoulou, M., Charpentier, J., Alexandre, J., Jamme, M., & Pène, F. (2022) · Cancers · doi:10.3390/cancers14235870 · Cited by 7
Bundles do combate à fraqueza adquirida na unidade de terapia intensiva
Machado, J., Castro, M. G., Giacomassi, I. W. S., Giorelli, G., Isola, A., Silva, J. M., Dib, R., & Toledo, D. O. (2021) · Braspen Journal · doi:10.37111/braspenj.2021.36.2.01 · Cited by 16
Respiratory and Peripheral Muscle Assessment in the Intensive Care Unit
Carámbula, A., Visca, A., D’Amico, S., & Angulo, M. (2019) · Archivos de Bronconeumología · doi:10.1016/j.arbr.2019.03.005 · Cited by 8
Padilha, D. M. D. H., Mendes, M. C. S., Juliani, F. L., Silveira, M., Pozzuto, L., Santos, L. A. O., Guerra, L. D., Moreira, R. C. L., Branbilla, S. R., Ademar, D. C., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-20126-6 · Cited by 7
Li, T., Xu, H., Chen, L., Xu, Y., Zheng, Y., Zhao, H., Chen, C., & Zhu, Z. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1568527 · Cited by 6
Muscle matters: Transforming the care of intensive care unit acquired sarcopenia and myosteatosis
Kataria, S., Vinjamuri, S., & Juneja, D. (2025) · World Journal of Clinical Cases · doi:10.12998/wjcc.v13.i33.110976 · Cited by 6
Armstrong, W., Costa, C., Poveda, L., Miller, A. N., Ambrosini, A. P., Hsu, F., Kiani, B., Martin, R., Stitzel, J. D., & Weaver, A. A. (2022) · Traffic Injury Prevention · doi:10.1080/15389588.2022.2124864 · Cited by 6
Baggerman, M. R., Dekker, I. M., Winkens, B., Damink, S. W. M. O., Stapel, S. N., Weijs, P. J. M., & van de Poll, M. C. G. (2023) · Journal of Critical Care · doi:10.1016/j.jcrc.2023.154316 · Cited by 6
Self-citationEpicardial adipose tissue as a prognostic marker in acute pulmonary embolism
Aghayev, A., Hinnerichs, M. S., Wienke, A., Meyer, H., & Surov, A. (2023) · Herz · doi:10.1007/s00059-023-05210-5 · Cited by 6
Sim, J., Kim, Y., Lee, S.-H., Park, H., Koh, W. U., Jang, D., & Choi, W.-J. (2023) · Clinical Oncology · doi:10.1016/j.clon.2023.11.033 · Cited by 6
Deana, C., Cereser, L., Nardone, L., Danielis, M., Cherchi, V. A., Biasucci, D. G., Umbrello, M., Piani, T., Lucchese, F., & Vetrugno, L. (2025) · Minerva Anestesiologica · doi:10.23736/s0375-9393.25.18949-9 · Cited by 6
Ishikura, H., Nakamura, M., Oka, H., Yonezawa, K., Hidaka, R., Tanaka, T., Kawano, H., & Tanaka, S. (2021) · Journal of Orthopaedic Science · doi:10.1016/j.jos.2021.04.005 · Cited by 6
Chen, N., Han, T., Liu, H., Cao, J., Liu, W., Zuo, D., Zhang, T., Lan, X., Jin, X., Weng, Y., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.935445 · Cited by 6
Myosteatosis predicts short-term mortality in patients with COVID-19: A multicenter analysis
Surov, A., Meyer, H., Ehrengut, C., Zimmermann, S., Schramm, D., Hinnerichs, M. S., Bär, C., & Borggrefe, J. (2023) · Nutrition · doi:10.1016/j.nut.2023.112327 · Cited by 6
Psoriasis Is Associated With Myosteatosis but Not Sarcopenia: A Case-Control Study
Chen, X., Xiang, H., Tan, L., Zhou, J., Tang, J., Hu, X., & Yang, M. J. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.754932 · Cited by 6
How to Feed the Critically Ill—A Review
Lew, C. C. H., Ong, C., Mukhopadhyay, A., Marshall, A. P., & Arabi, Y. M. (2020) · Annals of the Academy of Medicine Singapore · doi:10.47102/annals-acadmedsg.202064 · Cited by 6
Is there a place for ultrasound in diagnosing sarcopenia?
Rondaij, T., Kozjek, N. R., Jerele, C., & Jordan, T. (2025) · Radiology and Oncology · doi:10.2478/raon-2025-0035 · Cited by 6
Dai, X., Zhou, Q., Wang, Q., Wang, M., Zhao, W., Zhou, Q., Liu, K., Lang, N., & Liang, Y. (2025) · European Journal of Radiology · doi:10.1016/j.ejrad.2025.112373 · Cited by 5
Kuchnia, A. J., Lortie, J. J., Osterbauer, K. J., Hess, T., Stabo, N. J., Tsuchiya, N., Wheeler, N., Binkley, N., François, C. J., Schiebler, M. L., et al. (2022) · JCSM Rapid Communications · doi:10.1002/rco2.62 · Cited by 5
Toro, R. D., Palmese, F., Feletti, F., Zani, G., Minguzzi, M. T., Maddaloni, E., Napoli, N., Bedogni, G., & Domenicali, M. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12062372 · Cited by 5
Kronberger, C., Mascherbauer, K., Willixhofer, R., Duca, F., Rettl, R., Binder, C., Poledniczek, M., Ermolaev, N., Donà, C., Koschutnik, M., et al. (2024) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2024.07.018 · Cited by 5
Duan, K., Gao, X., Wei, L., Gong, M., Feng, B., Zhou, J., & Zhu, D. (2021) · European Journal of Clinical Nutrition · doi:10.1038/s41430-020-00851-9 · Cited by 5
Yang, G., Yang, Q., Li, Y., Zhang, Y., Chen, S., He, D., Zhang, M., Ban, B., & Liu, F. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.920200 · Cited by 5
Novel Tools to Assess Muscle Sarcopenic Process in ICU Patients: Are They Worthwhile?
Ruiz‐Santana, S., & Hernández-Socorro, C. R. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12103473 · Cited by 4
A novel ultrasound approach in assessing IMAT in critically ill patients
Molinger, J., Whittle, J., Endeman, H., MacLeod, D. B., Gupta, R. T., Fudim, M., Haines, K., Barkauskas, C. E., Healy, Z. R., Wischmeyer, P., et al. (2024) · Frontiers in Anesthesiology · doi:10.3389/fanes.2024.1458633 · Cited by 6
Sun, C., Zhan, M., Yu, L., Li, T., Zhao, H., Gu, Q., Zhou, G., & Guo, F. (2025) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2025.05.002 · Cited by 4
Risk factors analysis of 90-day mortality in patients with sepsis in intensive care unit
Xu, Y., Zhang, H., Li, J., Wang, N., & Yuan, H. (2025) · PLoS ONE · doi:10.1371/journal.pone.0325813 · Cited by 4
Suganuma, S., Nakamura, K., Kanda, N., Nakanishi, N., Yoshida, M., Miyagi, T., & Takaki, S. (2025) · Clinical Nutrition · doi:10.1016/j.clnu.2025.08.027 · Cited by 5
Assessment of quadriceps muscle mass by ultrasound in the postoperative period of cardiac surgery
Buitrago, N. D. C., Trejos-Gallego, D. M., Pérez, M. C. F., Cardona, C. A. Q., & Botero, C. C. (2024) · The Ultrasound Journal · doi:10.1186/s13089-023-00348-z · Cited by 4
Yasuda, H., Horikoshi, Y., Kamoshita, S., Kuroda, A., & Moriya, T. (2023) · Nutrients · doi:10.3390/nu16010057 · Cited by 4
Evaluación muscular respiratoria y periférica en la Unidad de Cuidados Intensivos
Carámbula, A., Visca, A., D’Amico, S., & Angulo, M. (2018) · Archivos de Bronconeumología · doi:10.1016/j.arbres.2018.09.002 · Cited by 7
Tardif, N., Grip, J., & Rooyackers, O. (2017) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000426 · Cited by 4
Chen, X., Gao, X., Wang, R., Wei, Z., Wang, J., Wang, M., Xie, C., & Chen, X. (2025) · Aging Clinical and Experimental Research · doi:10.1007/s40520-025-02933-9 · Cited by 3
Thibault, R., Pereira, B., Som, M., Hssain, A. A., Dadet, S., Cano, N., & Souweine, B. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.05.015 · Cited by 3
Yang, X., Wang, T., Zhang, L., Zheng, S., Mu, Y., Jia, F., & Du, L. (2023) · Nutrition in Clinical Practice · doi:10.1002/ncp.11084 · Cited by 3
Raphaeli, O., Singer, P., Robinson, E., Statlender, L., & Kagan, I. (2024) · Nutrients · doi:10.3390/nu16193258 · Cited by 5
Skeletal muscle density as a new predictor of abdominal infection in abdominal trauma patients
Xi, F., Zheng, N., Xiong, B., Wang, D., Teng, R., Zhang, X., Zhang, T., Wei, C., Wang, X., & Tan, S. (2024) · Clinical Nutrition · doi:10.1016/j.clnu.2024.10.035 · Cited by 3
Nutrition in the critically ill patient
Koekkoek, W. A. C. (2023) · Utrecht University Repository (Utrecht University) · doi:10.33540/1675 · Cited by 3
Takenoshita, M., McCall, J. R. W., Barker, A. P., Suresh, S., Çelik, H., & Vuylsteke, A. (2024) · Clinical Radiology · doi:10.1016/j.crad.2023.12.011 · Cited by 2
Wang, S., Wang, M., & Jiang, L. (2024) · Abdominal Radiology · doi:10.1007/s00261-024-04741-7 · Cited by 2
Park, J., Oh, Y., Kwon, S., Lee, J., Kim, M., Choi, D., & Kwon, J. (2025) · Healthcare · doi:10.3390/healthcare13182321 · Cited by 2
Ribeiro, P. C., Costa, E. L. V., Romão, D. D. S., Matos, N. L., Ibarra, M. M., & Prado, C. M. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.102878 · Cited by 2
Murakawa, Y., Tamaki, A., Matsuzawa, R., Miyazaki, S., Fujishima, K., Hori, T., Naide, M., Sakai, K., & Ishii, T. (2026) · BMC Pulmonary Medicine · doi:10.1186/s12890-026-04142-0 · Cited by 2
Du, Q., Congcong, Q., Guochen, L., Qianyu, B., Batejin, Shuanglin, Z., Bagena, B., Meiyu, B., Yimin, Z., Meiling, S., et al. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1770345 · Cited by 4
Zhang, W., Wang, T., Luo, S., & Liu, Y. (2025) · PLoS ONE · doi:10.1371/journal.pone.0316893 · Cited by 2
Mutoh, T., Kataoka, H., Tatewaki, Y., & Taki, Y. (2025) · Nutrients · doi:10.3390/nu17101707 · Cited by 2
Association of Musculoskeletal Indexes With 1-Year Outcomes After ≥ 7 Days of Mechanical Ventilation
Wozniak, H., Santangelo, E., McInnis, M. C., Dragoi, L., Robles, P., Chu, L. M., Matte, A. L., Herridge, M. S., Herridge, M. S., Chu, L. M., et al. (2025) · CHEST Critical Care · doi:10.1016/j.chstcc.2025.100176 · Cited by 2
Genton, L., Maluf, V. A. B., Herrmann, F. R., Prado, C. M., de Watteville, A., Dupertuis, Y. M., Collet, T., Platon, A., & Heidegger, C. P. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.06.046 · Cited by 2
Radosher, A., Kalichman, L., Moshe, S., Ezra, D., Simonovich, A., Droujin, J., & Alperovitch-Najenson, D. (2021) · Spine · doi:10.1097/brs.0000000000004164 · Cited by 2
Córdova, H. A. H., Ponce, C. M. G., Nava, V. M. S., & Pérez, C. E. C. (2023) · Medicina Crítica · doi:10.35366/115227 · Cited by 1
Möck, S. (2024) · Strength and conditioning journal · doi:10.1519/ssc.0000000000000870 · Cited by 1
The Impact of Sarcopenia, Myosteatosis, and Visceral Adiposity on Renal Transplantation Outcomes
Ölçücüoğlu, E., Özkaya, U. E., Polat, M. E., Yılmaz, M., Taştemur, S., Ökten, R. S., & Ölçücüoğlu, E. (2025) · Medicina · doi:10.3390/medicina61091608 · Cited by 1
Extracardiac imaging biomarkers of cardiovascular health: a comprehensive review
Ahn, W. J., Choi, I. Y., Shim, E., Yeom, S. K., Hwang, S. H., Yong, H. S., Lee, Y. H., & Kim, C. (2026) · British Journal of Radiology · doi:10.1093/bjr/tqag006 · Cited by 1
Chen, J., Ma, M., Zhou, X., & Chang, B. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1782726 · Cited by 1
Kaul, E., Thul, J., Miller, W., Fate, K., Fisher, J., Pruett, T. L., Nagel, E., Earthman, C. P., & Teigen, L. M. (2026) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2026.103330 · Cited by 1
Bear, D. E., Wandrag, L., Merriweather, J. L., Connolly, B. A., Hart, N., & Grocott, M. P. W. (2021) · Clinical nutrition and metabolism · doi:10.17816/clinutr96169 · Cited by 2
Weijs, P. J. M., Looijaard, W. G. P. M., Dekker, I. M., Memelink, R. G., Stapel, S. N., Molinger, J., & Straaten, H. M. O. (2019) · Lessons from the ICU · doi:10.1007/978-3-030-24250-3_8 · Cited by 1
Self-citationWu, K., Michalski, A., Sykes, J. R., Batt, J. A. E., Stephenson, A. L., & Mathur, S. (2022) · Chronic Respiratory Disease · doi:10.1177/14799731221131330 · Cited by 1
Dressaire, M., Souweine, B., Boirie, Y., Bouzgarrou, R., Costes, F., Perrey, A., Boyer, L., Cassagnes, L., & Dupuis, C. (2024) · Clinical Nutrition Open Science · doi:10.1016/j.nutos.2024.07.005 · Cited by 1
Monitoring of Muscle Mass in Critically Ill Patients
Umbrello, M., Formenti, P., Brogi, E., & Forfori, F. (2024) · Springer eBooks · doi:10.1007/978-3-031-66541-7_10 · Cited by 1
Loh, C. T. I., Hasan, M. S., Swaminathan, P., Ng, C. C., Chan, W. Y., Tengku, A., Yap, S. T., Yunos, N. M., Stoppe, C., Lew, C. C. H., et al. (2025) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2025.07.020 · Cited by 2
Nutrition in Critical Illness During Pregnancy
Bendavid, I., & Singer, P. (2020) · Springer eBooks · doi:10.1007/978-3-030-43477-9_32 · Cited by 1
Skeletal muscle assessment in critically ill patients:Methods and application
Tanaka, K., Katayama, S., Okura, K., Okamura, M., Nawata, K., Nakanishi, N., & Shinohara, A. (2021) · The Japanese Journal of SURGICAL METABOLISM and NUTRITION · doi:10.11638/jssmn.55.6_273 · Cited by 1
Lahaye, C. (2022) · Lessons from the ICU · doi:10.1007/978-3-030-94133-8_12 · Cited by 1
Focus on nutrition and glucose control in the intensive care unit: recent advances and debates
Reignier, J., Christopher, K. B., & Arabi, Y. M. (2017) · Intensive Care Medicine · doi:10.1007/s00134-017-4958-y · Cited by 1
Comment je prends en charge la nutrition d’un patient en état de choc
Tamion, F., & Bohé, J. (2018) · Médecine Intensive Réanimation · doi:10.3166/rea-2018-0068
Методичні рекомендації ESPEN щодо клінічного харчування у відділенні інтенсивної терапії
Singer, P., Blaser, A. R., Berger, M. M., Alhazzani, W. A., Calder, P. C., Casaer, M. P., Hiesmayr, M., Mayer, K., Montejo, J. C., Pichard, C., et al. (2019) · Pain anesthesia and intensive care · doi:10.25284/2519-2078.2(87).2019.171009
Anabolic response to amino acid supplementation in critical illness
Liebau, F. (2019) · Figshare
Current Guidelines on Clinical Nutrition in Intensive Care Units Based on ESPEN 2018
Lee, A., Kim, E., Park, C.-M., & Rha, M. Y. (2019) · Journal of Clinical Nutrition · doi:10.15747/jcn.2019.11.2.31
Skeletal and muscle health among rural south indian older population
Jammy, G. R. (2020) · D-Scholarship@Pitt (University of Pittsburgh)
Zhang, F., Yu, Z., Shi, H., & Zhuang, C. (2020) · journal of nutritional oncology · doi:10.34175/jno202001002
Xu, T. Y., Zhang, H., Li, J. Z., & Wang, N. (2021) · Research Square · doi:10.21203/rs.3.rs-156786/v1
Paris, M. T. (2021) · UWSpace (University of Waterloo)
Medical Nutrition Therapy for Adult Patients receiving Extracorporeal Membrane Oxygenation
Fan, Q., & Cai, T. (2021) · International Conference on Medical and Health Informatics (ICMHI) · doi:10.1145/3472813.3472829
Duan, K., Gong, M., Gao, X., Wei, L., Zhu, D., & Zhou, J. (2020) · doi:10.21203/rs.3.rs-60525/v1
Duan, K., Gao, X., Wei, L., Gong, M., Zhou, J. Q., & Zhu, D. (2020) · doi:10.21203/rs.3.rs-60117/v1
Psoas CT Attenuation and Fatty Infiltration Rate Predict Incisional Hernia After AppendicectomyPreprint
Du, X., Sun, P., Yan, Y., Gong, X., Lian, Y., & Pan, Z. (2020) · doi:10.21203/rs.3.rs-97662/v1
Yasuda, H., Horikoshi, Y., Kamoshita, S., Kuroda, A., & Moriya, T. (2022) · Research Square · doi:10.21203/rs.3.rs-1913317/v1
Hou, W., Wu, J., Wang, K., Wang, Z., Wang, Z., Chen, F., Yu, H., & Meng, Q. (2022) · Research Square · doi:10.21203/rs.3.rs-2251805/v1
白井, 邦., & 小谷, 穣. (2023) · The Japanese Journal of SURGICAL METABOLISM and NUTRITION · doi:10.11638/jssmn.57.1_30
Consenso sobre el uso de proteína en el paciente crítico – ACNC
Trejos-Gallego, D. M., Fernando Pereira, P., Angélica Pérez, C., Janeth Barbosa, B., Ochoa, J. B., Waitzberg, D. L., Bladimir Gil, V., Erika Aguirre, M., B., M. A. C., G., C. E. P., et al. (2023) · Revista de Nutrición Clínica y Metabolismo · doi:10.35454/rncm.v6n2.494
The measurement of body composition and outcome in critically ill patients
Baggerman, M. R. (2023) · Research Publications (Maastricht University) · doi:10.26481/dis.20231030mb
Peres, L. M. (2023) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.17.2023.tde-05012024-165230
Yamamoto, N., Yoshida, T., Sugawara, Y., & Ohtsuka, M. (2024) · Clinical Nutrition Open Science · doi:10.1016/j.nutos.2024.07.014
Rengel, K. F., Wilson, J. E., Silver, H. J., Hollingsworth, E., Orun, O. M., Jackson, J. C., Mart, M. F., Hughes, C. G., Ely, E. W., & Brummel, N. E. (2024) · CHEST Critical Care · doi:10.1016/j.chstcc.2024.100115 · Cited by 1
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review