| Literature DB >> 31727132 |
Celine Saint-Laurent1, Laura Garde-Etayo2, Elvire Gouze3,4.
Abstract
Achondroplasia is a rare genetic disease representing the most common form of short-limb dwarfism. It is characterized by bone growth abnormalities that are well characterized and by a strong predisposition to abdominal obesity for which causes are unknown. Despite having aroused interest at the end of the 20 h century, there are still only very little data available on this aspect of the pathology. Today, interest is rising again, and some studies are now proposing mechanistic hypotheses and guidance for patient management. These data confirm that obesity is a major health problem in achondroplasia necessitating an early yet complex clinical management. Anticipatory care should be directed at identifying children who are at high risk to develop obesity and intervening to prevent the metabolic complications in adults. In this review, we are regrouping available data characterizing obesity in achondroplasia and we are identifying the current tools used to monitor obesity in these patients.Entities:
Keywords: Achondroplasia; Children; FGFR3; Nutrition; Obesity; Recommendations
Year: 2019 PMID: 31727132 PMCID: PMC6854721 DOI: 10.1186/s13023-019-1247-6
Source DB: PubMed Journal: Orphanet J Rare Dis ISSN: 1750-1172 Impact factor: 4.123
Advantages and limitations of tools used to characterized obesity in achondroplasia patients
| Advantages | Limitations in achondroplasia patients | |
|---|---|---|
| Body mass Index (BMI): Weight/Height2 (kg/m2) | Easy to measure and low cost Routinely used to evaluate obesity (its use has been standardized as a tool to diagnose overweight and obesity) Standards values available in children and adults in general population Useful to epidemiological studies | Height dependent: overestimated in short stature patients It is not a good predictor of obesity because it is not predictor of body fat and does not report on the distribution of fat (subcutaneous body fat / visceral body fat) No Standard values available in achondroplasia, only some reference curves from 0 to 16 years old |
| Adipocyte rebound | Easy to measure and low cost Standards references available Early predictive to adult obesity and associated complications in general population | Based on the use of BMI (cf BMI limitations) No Standard values available in achondroplasia |
| Rohrer’s index: Weight/Height3 (kg/m3) | Easy to measure and low cost Better estimator of obesity than the BMI in children between 6 to 18 years old Moderated correlation with height: the best index from age 6 to 18 years in achondroplasia patients | No standard values available in achondroplasia |
| Weight/Height ratio (kg/m) | Easy to measure and low cost Standards values available in general population | No Standard values available in achondroplasia, only one reference curve |
| Waist circumference (cm) | Easy to measure and low cost Height independent It offers complementary information to the waist / hip ratio and both are used as predictors of cardiovascular risk Standards values available in general population | No standard values available in achondroplasia |
| Waist/hips ratio | Easy to measure and low cost Height independent Correlated with total fat mass in general population Used as an index of cardiovascular risk prediction due to its relationship with visceral fat in general population | No standard values available in achondroplasia |
| Skinfold thickness (mm) | The measurements must be made by a qualified professional and low cost Height independent Correlated with total fat mass in general population Useful to determine the subcutaneous fat mass that could correlate with orthopedic complications | No standard values available and no specific predictive models to estimate the percentage of body fat in achondroplasia They do not estimate visceral body fat, therefore, they do not serve as a tool that correlates body fat with the risk of suffering metabolic complications associated with obesity in achondroplasia patients Difficult to measure and unreliable in patients with morbid obesity |
| % body fat mass | Body fat mass defined obesity and is directly correlated with it Gold standard techniques (DEXA and others) are expensive and not accessible for clinical use, but specific predictive models for gender and age are available that reliably estimate body fat percentage in general population | No standard values available in achondroplasia All gold standard techniques (Dual-Energy X-ray absorptiometry technique) have important limitations as body fat estimators in achondroplasia (data on body density, body dimensions, etc.) |
| Androïd: gynoïd fat mass ratio (DEXA) | The most appropriated technique for correlating android obesity (estimates visceral fat independently of subcutaneous fat) with associated metabolic complications such as type II diabetes in the general population ( It can predict the development of obesity regardless of size Predictive models to estimate the percentage of body fat by measuring the skinfold can be determined in comparison to DEXA measurements. | No standard values available in achondroplasia All gold standard techniques (Dual-Energy X-ray absorptiometry technique) have important limitations as body fat estimators in achondroplasia (data on body density, body dimensions, etc.) |
Protocol for the evaluation of the nutritional status of people with achondroplasia from birth
| Measures and data to register | Indices and results to be monitored | |
|---|---|---|
| Anthropometric assessment (in all follow-up visit except skin folds, from 3 years old) | Weight Height and height sitting | BMI, Height/Weight, Rohrer Verify according to the reference percentile tables |
| Cranial perimeter | Verify according to the reference percentile tables | |
| Skinfolds thicknesses (triceps, biceps, abdominal, suprailiac, subscapular, middle thigh and leg) | In the absence of predictive equations, apply a summary of folds | |
| Body perimeters (arm, waist, hip, gluteus, middle thigh, leg) | Waist circumference Waist/hip index | |
| DEXA (in all follow-up visit) | Body composition: total fat mass, fat mass distribution | Android/gynoid fat mass ratio |
| Indirect calorimetry (every 2 years) | Value of resting energy expenditure Value of the respiratory coefficient | Compare with normal range |
| Dietary records (in all follow-up visit) | 72 h registration Frequencies of food consumption | Assessment of energy intake, % of macronutrients and energy distribution, % of energy in each meal compared to the total Valuation of food and beverages consumption |
Blood test (every years) Blood pressure (in all follow-up visit) | Fasting glycemia, insulinemia and lipidemia Leptin, Ghrelin, anorexigenic gastrointestinal hormones: Cholecystokinin (CCK), Tyrosine-tyrosine peptide (PYY), Pancreatic polypeptide (PP), Insulinotropic glucose-dependent polypeptide (GIP), Glucagon-like petptide 1 (GLP-1), Oxintomodulin (OXM), Glucagon-like petptide 2 (GLP-2), orexigenic and anorexigenic neuropeptides (Corticotropin-releasing hormone (CRH), melanocortin, agouti protein, cocaine- and amphetamine-regulated transcript (CART) and Melanin-concentrating hormone (MCH)) Cortisol, noradrenalin, thyroid hormones | Compare with normal range |