Evidence map›Paper›PMID 25289931›Full record

Observational studyCritical care medicine2015

The relationship among obesity, nutritional status, and mortality in the critically ill.

Malcolm K Robinson, Kris M Mogensen, Jonathan D Casey, Caitlin K McKane, Takuhiro Moromizato, James D Rawn, Kenneth B Christopher

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 4 pooled it
9.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 4 syntheses or guidelines pooled it, 180 citations in OpenAlex.

  1. Pooled it
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  5. Trial
  6. Article
  7. Article
  8. Observational
  9. Screening and Diagnosis of Malnutrition in Individuals With Obesity: A Scoping Review of Current Methods.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Article
  10. Article
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  12. Evaluating the obesity paradox in patients with sepsis and cancer.International journal of obesity (2005) · 2025
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18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Malcolm K Robinson1Department of Surgery, Brigham and Women's Hospital, Boston, MA. 2Department of Nutrition, Brigham and Women's Hospital, Boston, MA. 3Department of Medicine, Brigham and Women's Hospital, Boston, MA. 4Department of Nursing, Brigham and Women's Hospital, Boston, MA. 5Department of Medicine, Hokubu Prefectural Hospital, Kunigami District, Okinawa Prefecture, Japan. 6The Nathan E. Hellman Memorial Laboratory, Renal Division, Brigham and Women's Hospital, Boston, MA.
Kris M Mogensen
Jonathan D Casey
Caitlin K McKane
Takuhiro Moromizato
James D Rawn
Kenneth B Christopher
Brigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe 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.

methodsWe 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.

resultsIn 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.

conclusionsIn 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.

Indexed as

Nutritional StatusBody Mass IndexCritical IllnessFemaleHumansMaleMalnutritionMiddle AgedObesityOverweightThinness

Identifiers

PMID25289931
OpenAlexW2020192521

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.