Evidence map›Paper›PMID 27890489›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2017

Spinal Muscular Atrophy, types I and II: What are the differences in body composition and resting energy expenditure?

Simona Bertoli, Ramona De Amicis, Chiara Mastella, Giulia Pieri, Ester Giaquinto, Alberto Battezzati, Alessandro Leone, Giovanni Baranello

Open access · hybridAbstract read
In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 46 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Spinal muscular atrophy carrier frequency in Saudi Arabia.Molecular genetics & genomic medicine · 2022
    Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Growth patterns in children with spinal muscular atrophy.Orphanet journal of rare diseases · 2021
    Article
  14. Metabolic Dysfunction in Spinal Muscular Atrophy.International journal of molecular sciences · 2021
    Review
  15. Spinal muscular atrophy: Broad disease spectrum and sex-specific phenotypes.Biochimica et biophysica acta. Molecular basis of disease · 2021
    Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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

8 authors at 3 institutions in 1 country.

Simona BertoliInternational Center for the Assessment of Nutritional Status (ICANS), Department of Food Environmental and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy. Electronic address: simona.bertoli@unimi.it.
Ramona De AmicisInternational Center for the Assessment of Nutritional Status (ICANS), Department of Food Environmental and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.
Chiara MastellaS.A.PRE., Early Habilitation Service, Mangiagalli e Regina Elena Hospital, Milan, Italy.
Giulia PieriDietetic and Nutrition Center, M. Bufalini Hospital, Cesena, Italy.
Ester GiaquintoDietetic and Nutrition Center, M. Bufalini Hospital, Cesena, Italy.
Alberto BattezzatiInternational Center for the Assessment of Nutritional Status (ICANS), Department of Food Environmental and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.
Alessandro LeoneInternational Center for the Assessment of Nutritional Status (ICANS), Department of Food Environmental and Nutritional Sciences (DeFENS), University of Milan, Milan, Italy.
Giovanni BaranelloDevelopmental Neurology Unit, Carlo Besta Neurological Institute Foundation, Milan, Italy.
University of Milan · ITOspedale “M. Bufalini” di Cesena · ITFondazione IRCCS Istituto Neurologico Carlo Besta · IT

Funding

Telethon GUP15014
6 · The paper itself

Abstract

BACKGROUND &

aimsDifferent neuromuscular functional domains in types I and II Spinal Muscular Atrophy (SMAI and SMAII) could lead to differences in body composition (BC) and resting energy expenditure (REE). Their identification could provide the key to defining appropriate strategies in clinical dietary management, but data comparing SMAI and SMAII in terms of BC and REE are not yet available. We measured total and regional fat (FM), lean (LBM), mineral (BMC) masses, body water (total, intra- and extra-cellular, TBW, ICW, ECW) and REE in a sample of SMAI and II children, matched for age and sex, and also adjusting for body size to compare these features of the two SMA phenotypes.

methods15 SMAI and 15 SMAII children, (M/F = 9/6 vs 9/6, age 3.6 ± 1.9 vs 3.5 ± 1.8 years, p = 0.99), confirmed genetically, were measured as follows: Anthropometric measurements [Body Weight (BW), Supine Length (SL), Arm Length (AL), Femur Length (FL), Tibia Length (TL)], Dual x-ray Energy Absorptiometry (DEXA) [total and segmental FM, LBM, FFM, and BMC], Bioelectrical impedance (BIA) [TBW, ICW, ECW] and Indirect Calorimetry (REE, respiratory quotients) were collected by the same trained dietician. BW, SL and Body Mass Index (BMI) Z-scores were calculated according to CDC Growth Charts (2000).

resultsSMA children had high percentages of FM and a lower percentage of TBW and ECW compared to the respective reference values for sex and age, whereas the BMC percentages did not differ, even splitting the two phenotypes. SMA I children had a lower BW and BMI-Z score compared to children with SMA II, but similar total and segmental FM. On the contrary, total FFM and LBM were significantly lower in SMAI (7290.0 ± 1729.1 g vs 8410.1 ± 1508.4 g; 6971.8 ± 1637.1 g vs 8041.7 ± 1427.7 g, p = 0.039, p = 0.037, respectively), particularly at the trunk level. Arm BMC also resulted significantly lower in SMAI. The measured REE values were similar (684 ± 143 kcal/day vs 703 ± 122 Kcal/day p = 0.707) whereas REE per FFM unit was higher in SMA I children than in SMA II (95 ± 12 kcal/FFMkg vs 84 ± 11 kcal/FFMkg p = 0.017).

conclusionsThis study has shown that BW and BMI Z-score measurements alone can be misleading in assessing nutritional status, particularly in SMAI. The differences between SMAI and II in total and regional BC are related only to FFM, LBM and BMC, and seem to be more linked to the magnitude of neurofunctional impairment rather than to the nutritional status derangement. SMA I and SMA II children can have different energy requirements in relation to their specific BC and hypermetabolism of FFM. Based on these results, our recommendation is to use direct BC and REE measurements in the nutritional care process until SMA-specific predictive equations become available.

Indexed as

Basal MetabolismBody CompositionAbsorptiometry, PhotonBody Mass IndexBody WeightCalorimetry, IndirectChild, PreschoolCross-Sectional StudiesElectric ImpedanceFemaleHumansInfantMaleMuscular Atrophy, SpinalNutritional StatusBody compositionBody waterNutritional statusResting energy expenditureSpinal Muscular Atrophy type ISpinal Muscular Atrophy type II

Identifiers

PMID27890489
PMCPMC5681353
OpenAlexW2549120287

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.