2021
DOI: 10.1016/j.clnu.2021.02.026
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Predictive fat mass equations for spinal muscular atrophy type I children: Development and internal validation

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Cited by 5 publications
(4 citation statements)
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“…Our findings confirm that BMI references based on the general pediatric population are not good indicators of the nutritional status in SMA children as they show a growth pattern which is specific to the condition. This is further supported by previous studies by us and others showing that fat mass is increased, and total fat-free mass and lean mass decreased in both SMA1 and SMA2 compared to healthy peers, with fat mass increasing with age [ 10 , 12 , 13 , 25 27 ]. Furthermore, we have also shown that body composition mildly to moderately correlates with motor function depending on the clinical phenotype [ 10 ].…”
Section: Discussionsupporting
confidence: 89%
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“…Our findings confirm that BMI references based on the general pediatric population are not good indicators of the nutritional status in SMA children as they show a growth pattern which is specific to the condition. This is further supported by previous studies by us and others showing that fat mass is increased, and total fat-free mass and lean mass decreased in both SMA1 and SMA2 compared to healthy peers, with fat mass increasing with age [ 10 , 12 , 13 , 25 27 ]. Furthermore, we have also shown that body composition mildly to moderately correlates with motor function depending on the clinical phenotype [ 10 ].…”
Section: Discussionsupporting
confidence: 89%
“…To date, few studies have investigated the nutritional aspects in SMA [ 8 , 13 , 24 27 ], all of them being on small samples and few using a standardized protocol to assess growth pattern [ 28 ]. When compared to WHO percentiles, the present study confirms that in SMA1 weight is significantly lower than healthy peers in both sexes and at all ages, as consistently reported in previous studies [ 8 , 13 ].…”
Section: Discussionmentioning
confidence: 99%
“…It is of note that in a number of assessments the BMI/ age z-score was between − 2 and − 3SD. These findings however were calculated on standard growth charts that may be not entirely appropriate for SMA patients in whom the poor weight may be related to the poor representation of muscles and lean mass [48,52]. While lower BMI are undoubtedly related to poor weight gain, values between − 2 and − 3SD should be further assessed with techniques exploring fat mass/fat free mass ratio (DXA, BIA) or using plicometry.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, a new equation for FM prediction in SMA1 patients has been developed by Foppiani et al, considering that weight and body mass index are misleading biomarkers in these patients [ 29 , 40 ]. This study, which included 152 patients with SMA1, provides to the clinicians a new useful tool in order to precisely define body composition among these children.…”
Section: Nutritional Aspects: Critical Issues and Possible Solutionsmentioning
confidence: 99%