An Evaluation of the Influence of Body Mass Index on Severity Scoring.


Journal

Critical care medicine
ISSN: 1530-0293
Titre abrégé: Crit Care Med
Pays: United States
ID NLM: 0355501

Informations de publication

Date de publication:
02 2019
Historique:
pubmed: 6 11 2018
medline: 13 11 2019
entrez: 6 11 2018
Statut: ppublish

Résumé

Although one third or more of critically ill patients in the United States are obese, obesity is not incorporated as a contributing factor in any of the commonly used severity of illness scores. We hypothesize that selected severity of illness scores would perform differently if body mass index categorization was incorporated and that the performance of these score models would improve after consideration of body mass index as an additional model feature. Retrospective cohort analysis from a multicenter ICU database which contains deidentified data for more than 200,000 ICU admissions from 208 distinct ICUs across the United States between 2014 and 2015. First ICU admission of patients with documented height and weight. One-hundred eight-thousand four-hundred two patients from 189 different ICUs across United States were included in the analyses, of whom 4,661 (4%) were classified as underweight, 32,134 (30%) as normal weight, 32,278 (30%) as overweight, 30,259 (28%) as obese, and 9,070 (8%) as morbidly obese. None. To assess the effect of adding body mass index as a risk adjustment element to the Acute Physiology and Chronic Health Evaluation IV and Oxford Acute Severity of Illness scoring systems, we examined the impact of this addition on both discrimination and calibration. We performed three assessments based upon 1) the original scoring systems, 2) a recalibrated version of the systems, and 3) a recalibrated version incorporating body mass index as a covariate. We also performed a subgroup analysis in groups defined using World Health Organization guidelines for obesity. Incorporating body mass index into the models provided a minor improvement in both discrimination and calibration. In a subgroup analysis, model discrimination was higher in groups with higher body mass index, but calibration worsened. The performance of ICU prognostic models utilizing body mass index category as a scoring element was inconsistent across body mass index categories. Overall, adding body mass index as a risk adjustment variable led only to a minor improvement in scoring system performance.

Identifiants

pubmed: 30395555
doi: 10.1097/CCM.0000000000003528
pmc: PMC6336502
mid: NIHMS1509085
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

247-253

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB017205
Pays : United States
Organisme : NIBIB NIH HHS
ID : R56 EB017205
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

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Auteurs

Ary Serpa Neto (A)

Laboratory for Critical Care Research, Critical Care Department, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Department of Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

Matthieu Komorowski (M)

MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, MA.
Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom.

David J Stone (DJ)

Departments of Anesthesiology and Neurosurgery, University of Virginia School of Medicine, Charlottesville, VA.

Stephanie Q Ko (SQ)

MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, MA.
Department of Medicine, National University Health Systems, Singapore.

Lucas Bulgarelli (L)

Big Data Analytics Department, Hospital Israelita Albert Einstein, São Paulo, Brazil.

Carolina Rodrigues Ponzoni (C)

Laboratory for Critical Care Research, Critical Care Department, Hospital Israelita Albert Einstein, São Paulo, Brazil.

Renato Carneiro de Freitas Chaves (RC)

Laboratory for Critical Care Research, Critical Care Department, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Department of Anesthesiology, Irmandade de Santa Casa de Misericórdia de Santos, Santos, Brazil.

Leo Anthony Celi (LA)

MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, MA.
Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA.

Alistair E W Johnson (AEW)

MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences & Technology, MIT, Cambridge, MA.

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