Assessment of Functional and Nutritional Status and Skeletal Muscle Mass for the Prognosis of Critically Ill Solid Cancer Patients
Open accessAbstract
Simple and accessible prognostic factors are paramount for solid cancer patients experiencing life-threatening complications. The aim of this study is to appraise the impact of functional and nutritional status and skeletal muscle mass in this population. We conducted a retrospective (2007–2020) single-center study by enrolling adult patients with solid cancers requiring unplanned ICU admission. Performance status, body weight, and albumin level were collected at ICU admission and over six months. Skeletal muscle mass was assessed at ICU admission by measuring muscle areas normalized by height (SMI). Four-hundred and sixty-two patients were analyzed, mainly with gastro-intestinal (34.8%) and lung (29.9%) neoplasms. Moreover, 92.8% of men and 67.3% of women were deemed cachectic. In the multivariate analysis, performance status at ICU admission (CSH 1.74 [1.27–2.39], p < 0.001) and the six month increase in albumin level (CSH 0.38 [0.16–0.87], p = 0.02) were independent predictors of ICU mortality. In the subgroup of mechanically ventilated patients, the psoas SMI was independently associated with ICU mortality (CSH 0.82 [0.67–0.98], p = 0.04). Among the 368 ICU-survivors, the performance status at ICU admission (CSH 1.34 [1.14–1.59], p < 0.001) and the six-month weight loss (CSH 1.33 [1.17–2.99], p = 0.01) were associated with a one-year mortality rate. Most cancer patients displayed cachexia at ICU admission. Time courses of nutritional parameters may aid the prediction of short- and long-term outcomes.
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Functional status on admission to intensive care units is an independent predictor of mortality, especially in cancer patients.
“It has been reported that functional status on admission to intensive care units (ICU) is an independent predictor of mortality, especially in cancer patients [105,106].”
From The Seven Methods for the Evaluation of Nutritional Status—ABCDEFG: Narrative Review (2026) · cites this paper as [105]
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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. (2016) · Critical Care · doi:10.1186/s13054-016-1563-3 · Cited by 218 · see citing works
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The Seven Methods for the Evaluation of Nutritional Status—ABCDEFG: Narrative Review
Zambrano-Villacres, R., Arteaga-Pazmiño, C., Guevara Castillo, W. D., Herrera-Fontana, M. E., Domínguez Brito, L. D., Becerra Granados, L. M., Recoba-Obregón, P. E., Rodríguez-Veintimilla, D., Bressi, V., Andrade-Molina, D., et al. (2026) · Applied Sciences · doi:10.3390/app16020845 · Cited by 5 · see citing works
- Authors
- Vigneron, C., Laousy, O., Chassagnon, G., Vakalopoulou, M., Charpentier, J., Alexandre, J., Jamme, M., & Pène, F.
- Affiliations
- Université Paris Cité (FR)
- Université Paris-Saclay (FR)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Pène, Frédéric
- ORCID
- Venue
- Cancers
- Publisher
- MDPI AG
- Published
- 2022-11-29
- Volume
- 14
- Issue
- 23
- Pages
- 5870
- ISSN
- 2072-6694 (ISSN-L)
- PMC
- PMC9737490
- OpenAlex
- W4310191250
- Cited by
- 7
- References
- 1
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 2
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cancers (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Société de Réanimation de Langue Française
- Topics
- Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
- Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Keywords
- solid tumors, critically ill cancer patients, skeletal muscle mass, skeletal muscle index, performance status, nutritional status, cachexia, albumin, ICU mortality, long-term mortality, weight loss, mechanical ventilation, prognostic factors
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