The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The Relationship Among Obesity, Nutritional Status, and Mortality in the Critically Ill*
Abstract
INTRODUCTION: The association between obesity and mortality in critically ill patients is unclear based on the current literature. To clarify this relationship, we analyzed the association between obesity and mortality in a large population of critically ill patients and hypothesized that mortality would be impacted by nutritional status. METHODS: We performed a single-center observational study of 6,518 adult patients treated in medical and surgical ICUs between 2004 and 2011. All patients received a formal, in-person, and standardized evaluation by a registered dietitian. Body mass index was determined at the time of dietitian consultation from the estimated dry weight or hospital admission weight and categorized a priori as less than 18.5 kg/m (underweight), 18.5-24.9 kg/m (normal/referent), 25-29.9 kg/m (overweight), 30-39.9 kg/m (obesity class I and II), and more than or equal to 40.0 kg/m (obesity class III). Malnutrition diagnoses were categorized as nonspecific malnutrition, protein-energy malnutrition, or well nourished. The primary outcome was all-cause 30-day mortality determined by the Social Security Death Master File. Associations between body mass index groups and mortality were estimated by bivariable and multivariable logistic regression models. Adjusted odds ratios were estimated with inclusion of covariate terms thought to plausibly interact with both body mass index and mortality. We utilized propensity score matching on baseline characteristics and nutrition status to reduce residual confounding of the body mass index category assignment. RESULTS: In the cohort, 5% were underweight, 36% were normal weight, 31% were overweight, 23% had class I/II obesity, and 5% had class III obesity. Nonspecific malnutrition was present in 56%, protein-energy malnutrition was present in 12%, and 32% were well nourished. The 30-day and 90-day mortality rate for the cohort was 19.1 and 26.6%, respectively. Obesity is a significant predictor of improved 30-day mortality following adjustment for age, gender, race, medical versus surgical patient type, Deyo-Charlson index, acute organ failure, vasopressor use, and sepsis: underweight odds ratio 30-day mortality is 1.09 (95% CI, 0.80-1.48), overweight 30-day mortality odds ratio is 0.93 (95% CI, 0.80-1.09), class I/II obesity 30-day mortality odds ratio is 0.80 (95% CI, 0.67-0.96), and class III obesity 30-day mortality odds ratio is 0.69 (95% CI, 0.49-0.97), all relative to patients with body mass index 18.5-24.9 kg/m. Importantly, there is confounding of the obesity-mortality association on the basis of malnutrition. Adjustment for only nutrition status attenuates the obesity-30-day mortality association: underweight odds ratio is 0.74 (95% CI, 0.54-1.00), overweight odds ratio is 1.05 (95% CI, 0.90-1.23), class I/II obesity odds ratio is 0.96 (95% CI, 0.81-1.15), and class III obesity odds ratio is 0.81 (95% CI, 0.59-1.12), all relative to patients with body mass index 18.5-24.9 kg/m. In a subset of patients with body mass index more than or equal to 30.0 kg/m (n = 1,799), those with either nonspecific or protein-energy malnutrition have increased mortality relative to well-nourished patients with body mass index more than or equal to 30.0 kg/m: odds ratio of 90-day mortality is 1.67 (95% CI, 1.29-2.15; p < 0.0001), fully adjusted. In a cohort of propensity score matched patients (n = 3,554), the body mass index-mortality association was not statistically significant, likely from matching on nutrition status. CONCLUSIONS: In a large population of critically ill adults, the association between improved mortality and obesity is confounded by malnutrition status. Critically ill obese patients with malnutrition have worse outcomes than obese patients without malnutrition.
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
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.
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
SPSS and SAS procedures for estimating indirect effects in simple mediation models
Preacher, K. J., & Hayes, A. F. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03206553 · Cited by 17,383
Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007) · Multivariate Behavioral Research · doi:10.1080/00273170701341316 · Cited by 9,973
The epidemiology of sepsis in the United States from 1979 through 2000
Martin, G. S., Mannino, D. M., Eaton, S., & Moss, M. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022139 · Cited by 5,841
McClave, S. A., Martindale, R. G., Vanek, V. W., McCarthy, M., Roberts, P., Taylor, B., Ochoa, J. B., Napolitano, L., Cresci, G., the A.S.P.E.N. Board of Directors, et al. (2009) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607109335234 · Cited by 1,873
Early versus late parenteral nutrition in critically ill adults
Casaer, M. P., Mesotten, D., Hermans, G., Wouters, P. J., Schetz, M., Meyfroidt, G., Van Cromphaut, S., Ingels, C., Meersseman, P., Muller, J., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1102662 · Cited by 1,696 · cited 1×
“Late initiation of PN in the critically ill is shown to be associated with a less complicated ICU course (99).”
BackgroundThe nutrition transition: worldwide obesity dynamics and their determinants
Popkin, B. M., & Gordon-Larsen, P. (2004) · International Journal of Obesity · doi:10.1038/sj.ijo.0802804 · Cited by 1,538
Nutritional and metabolic assessment of the hospitalized patient
Blackburn, G. L., Bistrian, B. R., Maini, B. S., Schlamm, H. T., & Smith, M. F. (1977) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/014860717700100101 · Cited by 1,426 · cited 2×
“Malnutrition diagnoses were determined by a registered dietitian based on prior studies (44, 45) using clinical judgment and a combination of available factors (Supplemental Table 1, Supplemental Digital Content 1, http://links.”
MethodWhite, J. V., Guenter, P., Jensen, G., Malone, A., Schofield, M., Academy Malnutrition Work Group, A.S.P.E.N. Malnutrition Task Force, & and the A.S.P.E.N. Board of Directors (2012) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607112440285 · Cited by 1,284
Alberda, C., Gramlich, L., Jones, N., Jeejeebhoy, K., Day, A. G., Dhaliwal, R., & Heyland, D. K. (2009) · Intensive Care Medicine · doi:10.1007/s00134-009-1567-4 · Cited by 975
Fonarow, G. C., Srikanthan, P., Costanzo, M. R., Cintron, G. B., & Lopatin, M. (2007) · American Heart Journal · doi:10.1016/j.ahj.2006.09.007 · Cited by 512
Cited by
McClave, S. A., Taylor, B. E., Martindale, R. G., Warren, M. M., Johnson, D. R., Braunschweig, C., McCarthy, M. S., Davanos, E., Rice, T. W., Cresci, G. A., et al. (2016) · Journal of Parenteral and Enteral Nutrition · doi:10.1177/0148607115621863 · Cited by 3,982
Nutritional Status and Mortality in the Critically Ill*
Mogensen, K. M., Robinson, M. K., Casey, J. D., Gunasekera, N. S., Moromizato, T., Rawn, J. D., & Christopher, K. B. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001306 · Cited by 190
Self-citationProtein Intake, Nutritional Status and Outcomes in ICU Survivors: A Single Center Cohort Study
Weijs, P. J. M., Mogensen, K. M., Rawn, J. D., & Christopher, K. B. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8010043 · Cited by 70
Self-citationMansukhani, N. A., Hekman, K. E., Yoon, D. Y., Helenowski, I. B., Hoel, A. W., Rodriguez, H. E., Pearce, W. H., Eskandari, M. K., & Tomita, T. M. (2018) · Annals of Vascular Surgery · doi:10.1016/j.avsg.2017.09.026 · Cited by 9
Metadata
- Authors
- Robinson, M. K., Mogensen, K. M., Casey, J. D., McKane, C. K., Moromizato, T., Rawn, J. D., & Christopher, K. B.
- Venue
- Critical Care Medicine
- Published
- 2015-01
- Volume
- 43
- Issue
- 1
- Pages
- 87-100
- ISSN
- 0090-3493 (ISSN-L)
- OpenAlex
- W2020192521
- Cited by
- 180
- References
- 12
- FWCI
- 13.64
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Relationship Among Obesity, Nutritional Status, and Mortality in the Critically Ill*. https://app.cochat.ai/papers/10.1097/ccm.0000000000000602
- The paper
- Robinson, M. K., Mogensen, K. M., Casey, J. D., McKane, C. K., Moromizato, T., Rawn, J. D., & Christopher, K. B. (2015). The Relationship Among Obesity, Nutritional Status, and Mortality in the Critically Ill*. Critical Care Medicine. https://doi.org/10.1097/ccm.0000000000000602
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.