| Literature DB >> 28224082 |
J Pérez-López1, L Ceberio-Hualde2, J S García-Morillo3, J M Grau-Junyent4, A Hermida Ameijeiras5, M López-Rodríguez6, J C Milisenda4, M Moltó Abad1, M Morales-Conejo7, J J Nava Mateos8.
Abstract
Patients with inborn errors of metabolism (IEMs) have become an emerging and challenging group in the adult healthcare system whose needs should be known in order to implement appropriate policies and to adapt adult clinical departments. We aimed to analyze the clinical characteristics of adult patients with IEMs who attend the most important Spanish hospitals caring for these conditions. A cohort study was conducted in 500 patients, categorized by metabolic subtype according to pathophysiological classification. The most prevalent group of IEMs was amino acid disorders, with 108 (21.6%) patients diagnosed with phenylketonuria. Lysosomal storage disorders were the second group, in which 32 (6.4%) and 25 (5%) patients had Fabry disease and Gaucher disease respectively. The great clinical heterogeneity, the significant delay in diagnosis after symptom onset, the existence of some degree of physical dependence in a great number of patients, the need for a multidisciplinary and coordinated approach, and the lack of specific drug treatment are common features in this group of conditions.Entities:
Keywords: Adulthood; Clinical characteristics; Inborn errors of metabolism
Year: 2017 PMID: 28224082 PMCID: PMC5310594 DOI: 10.1016/j.ymgmr.2017.01.011
Source DB: PubMed Journal: Mol Genet Metab Rep ISSN: 2214-4269
Specific diagnosis of IEM listed by their frequency.
| IEM type | Number of patients | Percentage |
|---|---|---|
| PKU | 108 | 21.6 |
| Porphyria cutanea tarda | 43 | 8.6 |
| Porphyria – acute intermittent | 34 | 6.8 |
| Other mitochondrial diseases | 33 | 6.6 |
| Fabry | 32 | 6.4 |
| Gaucher | 25 | 5 |
| GSD V | 24 | 4.8 |
| MELAS | 20 | 4 |
| Homocystinuria | 12 | 2.4 |
| Pompe (GSD II) | 8 | 1.6 |
| Hereditary fructose intolerance | 8 | 1.6 |
| Hereditary coproporphyria | 8 | 1.6 |
| Alpha-mannosidosis | 7 | 1.4 |
| Morquio A (MPS IVA) | 7 | 1.4 |
| GSD Ia | 7 | 1.4 |
| Kearn Sayre disease | 7 | 1.4 |
| OTC | 6 | 1.2 |
| GSD III | 6 | 1.2 |
| Variegate porphyria | 6 | 1.2 |
| Carnitine primary deficiency | 5 | 1 |
| MADD | 5 | 1 |
| Galactosemia | 5 | 1 |
| Niemann-Pick A-B | 4 | 0.8 |
| Niemann-Pick C | 4 | 0.8 |
| MCAD | 4 | 0.8 |
| 3-MCCD-A | 4 | 0.8 |
| Cystinuria | 4 | 0.8 |
| Glutaric acidemia type I | 4 | 0.8 |
| Alkaptonuria | 3 | 0.6 |
| Morquio B | 3 | 0.6 |
| Hunter (MPS II) | 3 | 0.6 |
| CPT-2 | 3 | 0.6 |
| Tyrosinemia type I | 3 | 0.6 |
| Methylmalonic acidemia | 3 | 0.6 |
| Other porphyria | 3 | 0.6 |
| Aspartylglycosaminuria | 2 | 0.4 |
| Hurler/Scheie (MPS IH/MPS IS) | 2 | 0.4 |
| Sanfilippo A (MPS IIIA) | 2 | 0.4 |
| VLCAD | 2 | 0.4 |
| 3-MCCD-B | 2 | 0.4 |
| GSD Ib | 2 | 0.4 |
| GSD Ixa | 2 | 0.4 |
| Propionic acidemia | 2 | 0.4 |
| Glycosylation deficiency | 2 | 0.4 |
| MAT I/III deficiency | 2 | 0.4 |
| GSD VII | 2 | 0.4 |
| Sanfilippo B (MPS IIIB) | 1 | 0.2 |
| Sanfilippo C | 1 | 0.2 |
| Sly (MPS VII) | 1 | 0.2 |
| Cystinosis | 1 | 0.2 |
| LCHAD/TFP | 1 | 0.2 |
| SSADHD | 1 | 0.2 |
| Dihydrolipoamide dehydrogenase deficiency (E3) | 1 | 0.2 |
| Citrullinemia type I | 1 | 0.2 |
| Methylmalonic acidemia combined with homocystinuria (cblC) | 1 | 0.2 |
| Methylmalonic acidemia combined with homocystinuria (cblD) | 1 | 0.2 |
| 3-HMG | 1 | 0.2 |
| GLUT-1 deficiency | 1 | 0.2 |
| GSD type unknown | 1 | 0.2 |
| GSD IV | 1 | 0.2 |
| MTHFR | 1 | 0.2 |
| Lysinuric protein intolerance | 1 | 0.2 |
| Mucolipidosis type III | 1 | 0.2 |
PKU = phenylketonuria; GSD = glycogen storage disease; MELAS = mitochondrial myopathy, encephalitis, lactic acidosis and stroke-like episodes; MPS = mucopolysaccharidosis; OTC = ornithine transcarbamylase deficiency; MADD = multiple acyl-CoA-dehydrogenase deficiency; MCAD = medium-chain acyl-CoA dehydrogenase deficiency; 3-MCCD-A = 3-methylcrotonyl-CoA carboxylase A subunit deficiency; CPT-2 = carnitine palmitoyltransferase 2 deficiency; VLCAD = very-long-chain acyl-CoA dehydrogenase deficiency; 3-MCCD-B = 3-methylcrotonyl-CoA carboxylase B subunit deficiency; MATI/III = methionine adenosyl transferase I/III; LCHAD/TFP = long-chain 3-hydroxyacyl-CoA dehydrogenase deficiency and trifunctional protein deficiency; SSADHD = succinic semialdehyde dehydrogenase deficiency;3-HMG = 3-hydroxy-3-methylglutaric aciduria; GLUT-1 = glucose transporter-1; MTHFR = methylenetetrahydrofolate reductase deficiency.
List of the variables analyzed for each metabolic subtype group.
| Intoxication syndromes | Energy metabolism disorders | Lysosomal storage disorders | |||
|---|---|---|---|---|---|
| N of patients | 260 (52%) | 146 (29.2%) | 94 (18.8%) | ||
| Age | 38.7(15.6) | 41(17.4) | 40.8(16.1) | 0.376 | |
| Sex | Male | 108(41.5%) | 60(41.1%) | 54(57.4%) | |
| Female | 152(58.5%) | 86(58.9%) | 40(42.6%) | ||
| Clinical department of origin | Pediatric | Internal medicine | Pediatric and internal medicine | ||
| Number of clinical departments | 1.9(1) | 1.9(0.9) | 2.7(2) | 0.004 | |
| Age at diagnosis | Unknown | 5(2%) | 1(0.7%) | 4(4.3%) | |
| Neonatal screening | 57(23%) | 0 | 0 | ||
| Neonatal | 13(5%) | 4(2.7%) | 0 | ||
| 0–2 years | 29(11.2%) | 30(20.5%) | 9(9.6%) | ||
| 3–10 years | 22(8.5%) | 15(10.3%) | 25(26.6%) | ||
| 11–16 years | 8(3.1%) | 5(3.4%) | 8(8.5%) | ||
| > 16 years | 126(48.5%) | 91(62.3%) | 48(51.1%) | ||
| Delay in diagnosis (years) | 4,4(9.1) | 16.3(23.1) | 7.2(10) | 0.000 | |
| Barthel Index Score | Independence (100) | 204(78.5%) | 87(59.6%) | 56(59.6%) | |
| Low dependence (91–99) | 21(8.1%) | 32(21.9%) | 15(16%) | ||
| Moderated dependence (61–90) | 15(5.8%) | 13(8.9%) | 9(9.6%) | ||
| Severe dependence (21–60) | 20(7.7%) | 13(8.9%) | 7(7.4%) | ||
| Total dependence (0 − 20) | 0 | 1(0.7%) | 7(7.4%) | ||
| Hospital admissions during 2015 | 0.2(0.4) | 0.2(0.5) | 0.4(0.7) | 0.011 | |
| Use of orphan drugs | 57(21.9%) | 14(9.6%) | 43(45.7%) | ||
For the quantitative variables, the mean was calculated as a measure of central tendency and standard deviation as measure of statistical dispersion. In order to study the differences between quantitative variables for each disorders, a Kruskall-Wallis non-parametric test was performed (p-value < 0.05 was considered as statistically significant).