Evidence map›Paper›PMID 30397667›Full record

ArticleBMJ paediatrics open2018

New anthropometric classification scheme of preoperative nutritional status in children: a retrospective observational cohort study.

Anne Stey, Joni Ricks-Oddie, Sheila Innis, Shawn J Rangel, R Lawrence Moss, Bruce L Hall, Albert Dibbins, Erik D Skarsgard

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Article in BMJ paediatrics open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Anne SteyUniversity of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-8334-0304
Joni Ricks-OddieInstitute for Digital Research and Education, University of California Los Angeles, Los Angeles, California, USA.
Sheila InnisBritish Columbia Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada.
Shawn J RangelBoston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
R Lawrence MossNationwide Children's Hospital, The Ohio State University, Columbus, Ohio, USA.
Bruce L HallDivision of Research and Optimal Patient Care, American College of Surgeons, Chicago, Illinois, USA.
Albert DibbinsMaine Medical Center, Portland, Maine.
Erik D SkarsgardBritish Columbia Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWHO uses anthropometric classification scheme of childhood acute and chronic malnutrition based on low body mass index (BMI) ('wasting') and height for age ('stunting'), respectively. The goal of this study was to describe a novel two-axis nutritional classification scheme to (1) characterise nutritional profiles in children undergoing abdominal surgery and (2) characterise relationships between preoperative nutritional status and postoperative morbidity.

designThis was a retrospective observational cohort study.

settingThe setting was 50 hospitals caring for children in North America that participated in the American College of Surgeons National Surgical Quality Improvement Program Paediatric from 2011 to 2013.

participantsChildren >28 days who underwent major abdominal operations were identified. INTERVENTIONS/MAIN PREDICTOR: The cohort of children was divided into five nutritional profile groups based on both BMI and height for age Z-scores: (1) underweight/short, (2) underweight/tall, (3) overweight/short, (4) overweight/tall and (5) non-outliers (controls).

main outcome measuresMultiple variable logistic regressions were used to quantify the association between 30-day morbidity and nutritional profile groups while adjusting for procedure case mix, age and American Society of Anaesthesiologists class.

resultsA total of 39 520 cases distributed as follows: underweight/short (656, 2.2%); underweight/tall (252, 0.8%); overweight/short (733, 2.4%) and overweight/tall (1534, 5.1%). Regression analyses revealed increased adjusted odds of composite morbidity (35%) and reintervention events (75%) in the underweight/short group, while overweight/short patients had increased adjusted odds of composite morbidity and healthcare-associated infections (43%), and reintervention events (79%) compared with controls.

conclusionStratification of preoperative nutritional status using a scheme incorporating both BMI and height for age is feasible. Further research is needed to validate this nutritional risk classification scheme for other surgical procedures in children.

Indexed as

children’s surgerymalnutritionoutcomesrisk-adjustment

Identifiers

PMID30397667
PMCPMC6203011

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