Evidence map›Paper›PMID 40647249›Full record

ArticleNutrients2025

Novel Resting Energy Expenditure Prediction Equations for Multi-Ethnic Asian Older Adults with Multimorbidity.

Pei San Kua, Musfirah Albakri, Su Mei Tay, Phoebe Si-En Thong, Olivia Jiawen Xia, Wendelynn Hui Ping Chua, Kevin Chong, Nicholas Wei Kiat Tan, Xin Hui Loh, Jia Hui Tan and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Pei San KuaSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.ORCID 0009-0006-1064-4741
Musfirah AlbakriSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.
Su Mei TaySingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.
Phoebe Si-En ThongSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.
Olivia Jiawen XiaSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.
Wendelynn Hui Ping ChuaSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.
Kevin ChongSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.
Nicholas Wei Kiat TanSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.
Xin Hui LohSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.ORCID 0009-0006-4172-8972
Jia Hui TanSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.
Lian Leng LowSingHealth Community Hospitals, 10 Hospital Blvd, Singapore 168582, Singapore.

Funding

MOH Health Innovation (MHI) MH 110:12/12-30
6 · The paper itself

Abstract

BACKGROUND/

objectivesMalnutrition is prevalent among hospitalized older adults with multimorbidity, leading to adverse health outcomes and increased healthcare costs. An accurate assessment of resting energy expenditure (REE) is crucial because an inaccurate estimation of energy needs may result in unintentional underfeeding or overfeeding, both of which can worsen nutritional status and clinical outcomes. While indirect calorimetry (IC) is the preferred method, its clinical applicability is limited. Prediction equations are commonly used, but their accuracy in older Asian patients with multimorbidity remains unclear.

methodsThis multicenter, cross-sectional study enrolled 400 patients aged ≥65 years from March to December 2023 in Outram Community Hospital (OCH) and Sengkang Community Hospital (SKCH). Participants' REE was measured using indirect calorimetry. We compared the performance of the newly developed novel prediction equations (PEs), derived from readily accessible or easily measured anthropometric data, against established equations. Statistical analysis included the calculation of R

resultsA high prevalence (85%) of multimorbidity was observed among the participants. REE increased progressively with body mass index (BMI) across all groups (865.6-1269.4 kcal in females; 889.1-1269.4 kcal in males). The novel PEs (RMSE: 186-191; ICC: 0.5-0.52) demonstrated improved accuracy and stronger reliability compared to conventional equations (RMSE: 222-258; ICC: 0.271-0.460).

conclusionsOur newly developed PEs offer potentially valuable tools for precise REE estimation in hospitalized older Asian patients with multimorbidity. Further external validation and investigation in diverse populations are necessary to confirm these results.

Indexed as

Asian PeopleBasal MetabolismEnergy MetabolismMultimorbidityAgedAged, 80 and overBody Mass IndexCalorimetry, IndirectCross-Sectional StudiesFemaleHumansMaleReproducibility of ResultsAsian older adultscalf circumferencemid-upper arm circumferencemultimorbidityprediction equationsresting energy expenditure

Identifiers

PMID40647249
PMCPMC12251423

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LicenceCC BY
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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.