Startseite The importance of anthropological methods in the diagnosis of rare diseases
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

The importance of anthropological methods in the diagnosis of rare diseases

  • Agnieszka Różdżyńska-Świątkowska EMAIL logo und Anna Tylki-Szymańska
Veröffentlicht/Copyright: 27. März 2019

Abstract

Most of inborn errors of metabolism (IEMs) and rare endocrine-metabolic diseases (REMD) are rare diseases. According to the European Commission on Public Health, a rare disease is defined, based on its prevalence, as one affecting one in 2000 people. Many IEMs affect body stature, cause craniofacial abnormalities, and disturb the developmental process. Therefore, body proportion, dysmorphic characteristics, and morphological parameters must be assessed and closely monitored. This can be achieved only with the help of an anthropologist who has adequate tools. This is why the role of an anthropologist in collaboration with the physician in the diagnostic process is not to be underestimated. Clinical anthropologists contribute to assessing physical development and improve our understanding of the natural history of rare metabolic diseases. This paper presents anthropometric techniques and methods, such as analysis of demographic data, anthropometric parameters at birth, percentile charts, growth patterns, bioimpedance, somatometric profiles, craniofacial profiles, body proportion indices, and mathematical models of growth curves used in certain rare diseases. Contemporary anthropological methods play an important role in the diagnostic process of rare genetic diseases.


Corresponding author: Agnieszka Różdżyńska-Świątkowska, PhD, Anthropology Laboratory, The Children’s Memorial Health Institute, Al. Dzieci Polskich 20, 04-730 Warsaw, Poland

Acknowledgments

The authors wish thank the Polish MPS and Rare Diseases Society (Stowarzyszenie Chorych na Mukopolisacharydozę i Choroby Rzadkie), and in particular its President, Teresa Matulka.

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission. ARŚ: Interpretation of data, conception and design, conduct of the work, drafting and revising the article; ATS: Conduct of the work, drafting and revising the article.

  2. Research funding: No financial or non-financial benefits have been received or will be received from any party related directly or indirectly to the subject of this article.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Moore K, Persaud T, Torchia M. Before we are born. Essentials of embryology and birth defects, 9th ed. Philadelphia: Saunders, 2015.Suche in Google Scholar

2. Guibaud L, Collardeau-Frachon S, Lacalm A, Massoud M, Rossi M, Cordier MP, et al. Antenatal manifestations of inborn errors of metabolism: prenatal imaging findings. J Inherit Metab Dis 2017;40:103–12.10.1007/s10545-016-9992-3Suche in Google Scholar PubMed

3. Malinowski A, Bożiłow W, Podstawy antropometrii. Metody, techniki, normy (Basics of anthropometry. Methods, techniques, standards). Scientific publishing; PWN, Warszawa-Łódź, 1997.Suche in Google Scholar

4. Engelberts AC, Koerts B, Waelkens JJ, Wit JM, Burger BJ. Measuring the length of newborn infants. Ned Tijdschr Geneeskd 2005;149:632–6.Suche in Google Scholar

5. Subramanyam MA, Ackerson LK, Subramanian SV. Patterning in birthweight in India: analysis of maternal recall and health card data. PLoS One 2010;5:e11424.10.1371/journal.pone.0011424Suche in Google Scholar PubMed PubMed Central

6. Lejarraga H, del Pino M, Fano V, Caino S, Cole TJ. Growth references for weight and height for Argentinian girls and boys from birth to maturity: incorporation of data from World Health Organisation from birth to 2 years and calculation of new percentiles and LMS values. Arch Argent Pediatr 2009;107:126–33.Suche in Google Scholar

7. Roelants M, Hauspie R, Hoppenbrouwers K. References for growth and pubertal development from birth to 21 years in Flanders, Belgium. Ann Hum Biol 2009;36:680–94.10.3109/03014460903049074Suche in Google Scholar PubMed

8. Kromeyer-Hauschild K, Wbitsch M, Kunze D, Geller F, Geiß HC, Hesse V, et al. Perzentilefur den Body-mass-Index fur das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Sitchproben. Monatsschrift kinderheilkunde 2001;149:807–18.10.1007/s001120170107Suche in Google Scholar

9. Cacciari E, Milani S, Balsamo A, Spada E, Bona G, Cavallo L, et al. Italian cross-sectional growth charts for height, weight and BMI (2 to 20 yr). J Endocrinol Invest 2006;29:581–93.10.1007/BF03344156Suche in Google Scholar PubMed

10. Albertson-Wikland K, Lou ZC, Niklasson A, Karlberg J. Swedish population-based longitudinal reference values from birth to 18 years of age for height, weight and head circumference. Acta Paediatrica 2002;9:4342–50.Suche in Google Scholar

11. Redlefsen T, Commentz J, Meigen C, Hermanussen M. Reverence values for height, weight and body mass index of German born Turkish children. Anthrop Anz 2007;65:263–74.10.1127/anthranz/65/2007/263Suche in Google Scholar

12. Freeman JV, Cole TJ, Chinn S, Jones PR, White EM, Preece MA. Cross sectional stature and weight reference curves for the UK. 1990. Arch Dis Child 1995;73:17–24.10.1136/adc.73.1.17Suche in Google Scholar PubMed PubMed Central

13. Milde K, Wiśniewski A, Gyrczuk E, Tomaszewski P, Sienkiewicz-Dianzenza E, Stupnicki R. Body mass and body length of warsaw’s newborns. Pediatr Endocrinol Diabetes Metab 2015;21:111–21.10.18544/PEDM-21.03.0032Suche in Google Scholar PubMed

14. Niedźwiecka Z. Dziecko w pierwszych trzech latach życia (Child in the first three years of life). In: Mięsowicz I, editor. Auksologia. Wydawnictwo Akademii Pedagogiki Specjalnej Warszawa, 2001.Suche in Google Scholar

15. Różdżyńska-Światkowska A, Jurecka A, Żuber Z, Tylki-Szymańska A. Can macrosomia or large for gestational age be predictive of mucopolysaccharidosis type I, II and VI? Pediatr Neonatol 2016;57:181–7.10.1016/j.pedneo.2015.04.015Suche in Google Scholar PubMed

16. Boghossian N, Horbar J, Carpenter J, Murray J, Bell E. Major chromosomal anomalies among very low birth weight infants in the Vermont Oxford Network. J Pediatr 2012;160:774–80.10.1016/j.jpeds.2011.11.005Suche in Google Scholar PubMed PubMed Central

17. Adams-Chapman I, Hansen N, Shankaran S, Bell E, Boghossian N, Jeffrey C, et al. Ten-year review of major birth defects in VLBW infants. Pediatrics 2013;132:49–61.10.1542/peds.2012-3111Suche in Google Scholar PubMed PubMed Central

18. Sabin MA, Werther GA, Kiess W. Genetics of obesity and overgrowth syndromes. Best Pract Res Clin Endocrinol Metab 2011;25:207–20.10.1016/j.beem.2010.09.010Suche in Google Scholar PubMed

19. Ekmektzoglou K, Demestiha T, Troupis G, Xanthos T. Commonest overgrowth syndromes. Fetal Pediatr Pathol 2012;31:94–111.10.3109/15513815.2011.650293Suche in Google Scholar PubMed

20. Vora N, Bianchi DW. Genetic considerations in the prenatal diagnosis of overgrowth syndromes. Prenat Diagn 2009;29:923–9.10.1002/pd.2319Suche in Google Scholar PubMed PubMed Central

21. Neylon OM, Werther GA, Sabin MA. Overgrowth syndromes. Curr Opin Pediatr 2012;24:505–11.10.1097/MOP.0b013e3283558995Suche in Google Scholar PubMed

22. Verge CF, Mowat D. Overgrowth. Arch Dis Child 2010;95:458–63.10.1136/adc.2009.157693Suche in Google Scholar PubMed

23. Fenton TR, Kim JH. A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMC Pediatrics 2013;13:59.10.1186/1471-2431-13-59Suche in Google Scholar PubMed PubMed Central

24. Voight M, Friese K, Schneider KT, Jorch G, Hesse V. Kurzmitteilung zu den Perzentilwerten fur die KorpermaBe Neugeborener. Geburtsh Frauenheilk 2002;62:274–6.Suche in Google Scholar

25. Kramer MS, Platt RW, Wen SW, Joseph KS, Allen A, Abrahamowicz M, et al. Fetal/Infant Health Study Group of the Canadian Perinatal Surveillance System. A new and improved population-based Canadian reference for birth weight for gestational age. Pediatrics 2001;108:E35.10.1542/peds.108.2.e35Suche in Google Scholar PubMed

26. Pedreira CE, Pinto FA, Pereira SP, Costa ES. Birth weight patterns by gestational age in Brasil. An Acad Bras Cienc 2011;83:619–25.10.1590/S0001-37652011005000008Suche in Google Scholar

27. Szczarpa J, Banaszak-Wojsyk I. Neonatologia. Ocena stanu noworodka (Neonatology. Evaluation of the newborn’s condition). PZWL, 2015.Suche in Google Scholar

28. Chen H. Atlas of genetic diagnosis and counselling. Totowa, NJ: Humana Press, 2006.Suche in Google Scholar

29. Conter V, Cortinovis I, Rogari P, Riva L. Weight growth in infants born to mothers who smoked during pregnancy. Br Med J 1995;310:769–71.10.1136/bmj.310.6982.768Suche in Google Scholar PubMed PubMed Central

30. Vielwerth SE, Jensen RB, Larsen T, Greisen G. The impact of maternal smoking to fetal and infant growth. Early Human Development 2007;83:491–5.10.1016/j.earlhumdev.2006.09.010Suche in Google Scholar

31. Martin R, Saller K. Lehrbuch der anthropologie. Stuttgart: Gustav Fischer Verlag, 1957.Suche in Google Scholar

32. Wolański N. Metody Kontroli i Normy Rozwoju Dzieci i Młodzieży (Control Methods and Standards for Children and Youth Development). PZWL, Warszawa, 1975.Suche in Google Scholar

33. Kułaga Z, Grajda A, Gurzkowska B, Góźdź M, Wojtyło M, Świąder A, et al. Polish 2012 growth references for preschool children. Eur J Pediatr 2013;172:753–761.10.1007/s00431-013-1954-2Suche in Google Scholar

34. Rosario AS, Schienkiewitz A, Neuhauser H. German height references for children aged 0 to under 18 years compared to WHO and CDC growth charts. Ann Hum Biol 2011;38:121–30.10.3109/03014460.2010.521193Suche in Google Scholar

35. Auxology. Studying human growth and development. In: Hermanussen M, editor. Germany: Schweizerbart Science Publishers, 2013.Suche in Google Scholar

36. Hoover-Fong JE, Schulze KJ, McGready J, Barnes H, Scott CI. Age appropriate body mass index in children with achondroplasia: interpretation in relation to index of height. Am J Clin Nutr 2008;88:364–71.10.1093/ajcn/88.2.364Suche in Google Scholar

37. Kline AD, Barr M, Jackson LG. Growth manifestations in the Brachmann-de Lange syndrome. Am J Med Genet 1993;47:1042–9.10.1002/ajmg.1320470722Suche in Google Scholar

38. Marinescu RC, Mainardi PC, Collins MR, Kouahou M, Coucourde G, Pastore G, et al. Growth charts for cri-du-chat syndrome: an international collaborative study. Am J Med Genet 2000;94:153–62.10.1002/1096-8628(20000911)94:2<153::AID-AJMG8>3.0.CO;2-#Suche in Google Scholar

39. Van Gameren-Oosterom HB, Van Dommelen P, Oudesluys-Murphy AM, Buitendijk SE, Van Buuren S, Van Wouwe JP. Healthy growth in children with Down syndrome. PLoS One 2012;7:e31079.10.1371/journal.pone.0031079Suche in Google Scholar

40. Verbeek S, Eilers PH, Lawrence K, Hennekam RC, Versteegh FG. Growth charts for children with Ellis-van Creveld syndrome. Eur J Pediatr 2011;170:207–11.10.1007/s00431-010-1287-3Suche in Google Scholar

41. Schibler D, Brook CG, Kind HP, Zachmann M, Prader A. Growth and body proportions in 54 boys and men with Klinefelter’s syndrome. Helv Paediatr Acta 1974;29:325–33.Suche in Google Scholar

42. Pyeritz RE, Murphy EA, Lin SJ, Rosell M. Growth and anthropometrics in the Marfan syndrome. Prog Clin Biol Res 1985;200:355–66.Suche in Google Scholar

43. Laron Z, Lilos P, Klinger B. Growth curves for Laron syndrome. Arch Dis Child 1993;68:768–70.10.1136/adc.68.6.768Suche in Google Scholar

44. Szudek J, Birch P, Friedman JM. Growth charts for young children with neurofibromatosis 1 (NF1). Am J Med Genet 2000;92:224–8.10.1002/(SICI)1096-8628(20000529)92:3<224::AID-AJMG12>3.0.CO;2-JSuche in Google Scholar

45. Romano AA, Dana K, Bakker B, Davis DA, Hunold JJ, Jacobs J, et al. Growth response, near-adult height, and patterns of growth and puberty in patients with noonan syndrome treated with growth hormone. J Clin Endocrinol Metab 2009;94:2338–44.10.1210/jc.2008-2094Suche in Google Scholar PubMed

46. Graff K, Syczewska M. Developmental charts for children with osteogenesis imperfecta, type I (body height, body weight and BMI). Eur J Pediatr 2017;176:311–6.10.1007/s00431-016-2839-ySuche in Google Scholar PubMed PubMed Central

47. Hauffa BP, Schlippe G, Roos M, Gillessen-Kaesbach G, Gasser T. Spontaneous growth in German children and adolescents with genetically confirmed Prader-Willi syndrome. Acta Paediatr 2000;89:1302–11.10.1111/j.1651-2227.2000.tb00755.xSuche in Google Scholar

48. Tarquinio DC, Motil KJ, Hou W, Lee HS, Glaze DG, Skinner SA, et al. Growth failure and outcome in Rett syndrome: specific growth references. Neurology 2012;79:1653–61.10.1212/WNL.0b013e31826e9a70Suche in Google Scholar PubMed PubMed Central

49. Stevens CA, Hennekam RC, Blackburn BL. Growth in the Rubinstein-Taybi syndrome. Am J Med Genet Suppl 1990;6:51–5.10.1002/ajmg.1320370609Suche in Google Scholar PubMed

50. Wollmann HA, Kirchner T, Enders H, Preece MA, Ranke MB. Growth and symptoms in Silver-Russell syndrome: review on the basis of 386 patients. Eur J Pediatr 1995;154:958–68.10.1007/BF01958638Suche in Google Scholar PubMed

51. Lee RW, McGready J, Conley SK, Yanjanin NM, Nowaczyk MJ, Porter FD. Growth charts for individuals with Smith-Lemli-Opitz syndrome. Am J Med Genet A 2012;158A:2707–13.10.1002/ajmg.a.35376Suche in Google Scholar PubMed PubMed Central

52. Rongen-Westerlaken C, Corel L, van den Broeck J, Massa G, Karlberg J, Albertsson-Wikland K, et al. Reference values for height, height velocity and weight in Turner’s syndrome. Swedish Study Group for GH treatment. Acta Paediatr 1997;86:937–42.10.1111/j.1651-2227.1997.tb15174.xSuche in Google Scholar PubMed

53. Martin ND, Smith WR, Cole TJ, Preece MA. New height, weight and head circumference charts for British children with Williams syndrome. Arch Dis Child 2007;92:598–601.10.1136/adc.2006.107946Suche in Google Scholar PubMed PubMed Central

54. Antonius T, Draaisma J, Levtchenko E, Knoers N, Renier W, van Ravenswaaij C. Growth charts for Wolf-Hirschhorn syndrome (0–4 years of age). Eur J Pediatr 2008;167:807–10.10.1007/s00431-007-0595-8Suche in Google Scholar PubMed PubMed Central

55. Tylki-Szymańska A, Jurecka A, Zuber Z, Rozdzynska A, Marucha J, Czartoryska B. Enzyme replacement therapy for mucopolysaccharidosis II from 3 months of age: a 3-year follow-up. Acta Paediatrica 2011;101:42–7.10.1111/j.1651-2227.2011.02385.xSuche in Google Scholar

56. De Paepe A, Devereux RB, Dietz HC, Hennekam RC, Pyeritz RE. Revised diagnostic criteria for the Marfan syndrome. Am J Med Gen 1996;62:417–26.10.1002/(SICI)1096-8628(19960424)62:4<417::AID-AJMG15>3.0.CO;2-RSuche in Google Scholar

57. Tylki-Szymańska A, Acuna-Hidalgo R, Krajewska-Walasek M, Lecka-Ambroziak A, Steehouwer M, Gilissen C, et al. Thyroid hormone resistance syndrome due to mutations in the thyroid hormone receptor α gene (THRA). J Med Genet 2015;52:312–6.10.1136/jmedgenet-2014-102936Suche in Google Scholar

58. Popowska E, Pronicka E, Sułek A, Jurkiewicz D, Rowińska E, Sykut-Cegielska J, et al. X-linked hypophosphatemia in Polish patients. Analysis of clinical features and genotype-phenotype correlation. J Appl Gen 2000;42:73–88.Suche in Google Scholar

59. Allanson JE, Greenberg F, Smith A. The face of Smith-Magenis syndrome: a subjective and objective study. J Med Gen 1999;35:394–7.10.1136/jmg.36.5.394Suche in Google Scholar

60. Nowaczyk MJ, Tan M, Hamid JS, Allanson JE. Smith-Lemli-Opitz syndrome: objective assessment of facial phenotype. Am J Med Genet A 2012;158:1020–8.10.1002/ajmg.a.35285Suche in Google Scholar

61. Allanson JE, Hennekam R. Rubinstein-Taybi syndrome: objective evaluation of craniofacial structure. Am J Med Genet A 1997;71:414–9.10.1002/(SICI)1096-8628(19970905)71:4<414::AID-AJMG8>3.0.CO;2-TSuche in Google Scholar

62. Allanson JE. Objective studies of the face of Noonan, cardio-facio-cutaneous, and Costello syndromes: a comparison of three disorders of the Ras/MAPK signaling pathway. Am J Med Genet A 2016;170:2570–77.10.1002/ajmg.a.37736Suche in Google Scholar

63. Jurecka A, Rozdzynska A, Marucha J, Czartoryska B, Wegrzyn G, Tylki-Szymanska A. Natural history of Polish patients with mucopolysaccharidosis type VI. Open Medicine 2011;6:163–71.10.2478/s11536-010-0072-zSuche in Google Scholar

64. Żuber Z, Różdżyńska-Świątkowska A, Jurecka A, Tylki-Szymańska A. The effect of recombinant human iduronate-2-sulfatase (idursulfase) on growth in young patients with mucopolysaccharidosis type II. PLoS One 2014;9:e85074.10.1371/journal.pone.0085074Suche in Google Scholar

65. Allanson JE. Objective techniques for craniofacial assessment: what are the choices? Am J Med Genet A 1997;70:1–5.10.1002/(SICI)1096-8628(19970502)70:1<1::AID-AJMG1>3.0.CO;2-3Suche in Google Scholar

66. Farkas LG, Posnick JC. Hreczko TM. Growth patterns of the face: a morphometric study. Cleft Palate Craniofac J 1992;29:308–15.10.1597/1545-1569_1992_029_0308_gpotfa_2.3.co_2Suche in Google Scholar

67. Farkas LG, Posnick JC. Hreczko TM. Anthropometric growth study of the head. Cleft Palate Craniofac J 1992;29:303–8.10.1597/1545-1569_1992_029_0303_agsoth_2.3.co_2Suche in Google Scholar PubMed

68. Cieślik J, Drozdowska M, Malinowski A. Norma rozwojowa – teoretyczne i praktyczne aspekty oceny rozwoju biologicznego człowieka (Developmental standard – theoretical and practical aspects of assessment of human biological development). In: Malinowski A, editor. Antropologia. PWN Poznań, 1985.Suche in Google Scholar

69. Rozdzynska A, Tylki-Szymanska A, Jurecka A, Cieslik J. Growth pattern and growth prediction of body height in children with mucopolysaccharidosis type II. Acta Paediatrica 2011;100:456–60.10.1111/j.1651-2227.2010.02060.xSuche in Google Scholar PubMed

70. Różdżyńska-Świątkowska A, Jurecka A. Cieślik J, Tylki-Szymańska A. Growth patterns in children with mucopolysaccharidosis I and II. World J Pediatr 2015;11:226–31.10.1007/s12519-014-0517-6Suche in Google Scholar PubMed

71. Cameron N, Bogin B. Human growth and development.San Diego: Academic Press, 2012.Suche in Google Scholar

72. Bock RD, du Toit SH, Thissen D. Auxal: auxological analysis of longitudinal measurements of human stature. Chicago: Scientific Software Incorporated, 1994.Suche in Google Scholar

73. Hanć T, Cieślik J. Growth in stimulant-naive children with attention-deficit hyperactivity disorder using cross-sectional and longitudinal approaches. Pediatrics 2008;121:967–9.10.1542/peds.2007-1532Suche in Google Scholar PubMed

74. Wheeler PG, Bresnahan K, Shephard BA, Lau J, Balk EM. Short stature and functional impairment: a systematic review. Arch Pediatr Adolesc Med 2004;158:236–43.10.1001/archpedi.158.3.236Suche in Google Scholar PubMed

75. Marucha J, Jurecka A, Syczewska M, Różdżyńska-Świątkowska A, Tylki-Szymańska A. Restricted joint range of motion in patients with MPS II: correlation with height, age and functional status. Acta Paediatr 2012;101:183–8.10.1111/j.1651-2227.2011.02522.xSuche in Google Scholar PubMed

76. Hammond P. The use of 3D face shape modelling in dysmorphology. Arch Dis Child 2007;92:1120–6.10.1136/adc.2006.103507Suche in Google Scholar PubMed PubMed Central

77. Hammond P, Hutton TJ, Patton MA, Allanson JE. Use of 3D photogrammetry in the craniofacial assessment of Noonan syndrome. In: Proc Greenwood Gen Ctr 2001.Suche in Google Scholar

78. Hammond P, Hutton TJ, Allanson JE, Campbell LE, Hennekam RC, Holden S, et al. 3D Analysis of facial morphology. Am J Med Genet A 2004;126:339–48.10.1002/ajmg.a.20665Suche in Google Scholar PubMed

79. Hammond P, Suttie M. Large-scale objective phenotyping of 3D facial morphology. Hum Mutat 2012;33:817–25.10.1002/humu.22054Suche in Google Scholar PubMed PubMed Central

80. Lewitt A, Mądro E, Krupienicz A. Podstawy teoretyczne I zastosowania analizy impedancji bioelektrycznej (BIA) (Theoretical basis and application of bioelectrical impedance analysis (BIA)). Endocrinol Obes Metab Disorders 2007;3:79–84.Suche in Google Scholar

81. Różdżyńska-Świątkowska A, Jurkiewicz E, Tylki-Szymańska A. Bioimpedance Analysis as a Method to Evaluate the Proportion of Fatty and Muscle Tissues in Progressive Myopathy in Pompe Disease. JIMD Reports 2015;26:45–51.10.1007/8904_2015_473Suche in Google Scholar PubMed PubMed Central

82. Wolański N, Eagen J. The interrelationship between bone density and cortical thickness in the second metacarpal as a function of age. In: Whedon GD, Neumann WF, Jenkins DW, editors. Progress in development of methods in bone densitometry. Washington, DC: National Aeronautics and Space Administration, 1966.Suche in Google Scholar

83. Łysoń-Wojciechowska G, Romer T, Wolański N, Skawiński W. Ocena zawartości minerałów w tkance kostnej in vivo metodą densytometryczną u dziecka przewlekle chorego. (Evaluation of mineral content in bone tissue in vivo by densitometric method in a chronically ill child). Anthropology and its place among human sciences. UAM Anthropology Series 1991;13:125–37.Suche in Google Scholar

84. Lysoń-Wojciechowska G, Skawiński W, Tylki-Szymańska A. Analysis of the densitometric method of hand bone radiograms and assessment of early changes of bone structure in the children with Gaucher’s disease on enzyme replacement therapy (ERT). Pediatr Endocrinol Diabetes Metab 2006;13:159–64.Suche in Google Scholar

85. Łysoń-Wojciechowska G, Romer T, Skawiński W, Wolański N. Densitometric in vivo method based on bone hand x-rays film in differential diagnostics of short stature and metabolic disorders of developmental age. Przegląd Pediatryczny 2004;34:102–8.Suche in Google Scholar

86. Martin DD, Wit JM, Hochberg Z, van Rijn RR, Fricke O, Werther G, et al. The use of bone age in clinical practice – part 2. Horm Res Paediatr 2011;76:10–6.10.1159/000329374Suche in Google Scholar PubMed

87. Van Rijn RR and Thodberg HH. Bone age assessment: automated techniques coming of age? Acta Radiologica 2013;54:1024–9.10.1258/ar.2012.120443Suche in Google Scholar PubMed

88. Chandler KE, Kidd A, Al-Gazali L, Kolehmainen J, Lehesjoki AE, Black GC, et al. Diagnostic criteria, clinical characteristics, and natural history of Cohen syndrome. J Med Gen 2003;40:233–41.10.1136/jmg.40.4.233Suche in Google Scholar PubMed PubMed Central

89. Forsythe E, Beales PL. Bardet–Biedl syndrome. Eur J Hum Gen 2013;21:8–13.10.1038/ejhg.2012.115Suche in Google Scholar PubMed PubMed Central

90. Cassidy SB, Schwartz S, Miller JL, Driscoll DJ. Prader-willi syndrome. Gen Med 2011;14:10–26.10.1097/GIM.0b013e31822bead0Suche in Google Scholar

91. Melville CA, Cooper SA, McGrother CW, Thorp CF, Collacott R. Obesity in adults with Down syndrome: a case–control study. J Intellect Disabil Res 2005;49:125–33.10.1111/j.1365-2788.2004.00616.xSuche in Google Scholar PubMed

92. Kraemer R, Rüdeberg A, Hadorn B, Rossi E. Relative underweight in cystic fibrosis and its prognostic value. Acta Paediatrica 1978;67:33–7.10.1111/j.1651-2227.1978.tb16273.xSuche in Google Scholar PubMed

93. Binder G, Begemann M, Eggermann T, Kannenberg K. Silver–Russell syndrome. Best Pract Res Clin Endocrinol Metabol 2011;25:153–60.10.1016/j.beem.2010.06.005Suche in Google Scholar PubMed

94. Suliga E. Antropometryczne metody oceny stanu odżywienia dzieci i młodzieży. (Anthropometric methods to assess the nutritional status of children and adolescents). Ped Pol 2006;10:739–47.Suche in Google Scholar

95. World Health Organisation: WHO Expert Committee: Physical status. The use and interpretation of anthropometry. Report of a WHO Expert Committee. WHO Technical reports series no.854, Geneva, 1995.Suche in Google Scholar

96. Gibson R. Determining nutritional status. In: Mann J, Truswell S, editors. Essentials of human nutrition. Oxford: Oxford University Press, 2002:467–97.Suche in Google Scholar

97. Cole TJ, Donnet ML, Stanfield JP. Weight-for height indices to assess nutritional status – new index on a slide-rule. Am J Clin Nutr 1981;70:123–5.10.1093/ajcn/34.9.1935Suche in Google Scholar PubMed

98. Cole TJ, Faith MS, Pietrobelli A. Heo M. What is the best measure of adiposity change in growing children: BMI, BMI%, BMI z-score or BMI centile? Eur J Clin Nutr 2005;59:419–25.10.1038/sj.ejcn.1602090Suche in Google Scholar PubMed

99. Sardinha LB, Going SB, Teixeira PJ, Lohman TG. Receiver operating characteristic analysis of body mass index, triceps skinfold thickness, and arm girth for obesity screening in children and adolescents. Am J Clin Nutr 1999;70:1090–5.10.1093/ajcn/70.6.1090Suche in Google Scholar PubMed

Received: 2018-10-15
Accepted: 2019-01-29
Published Online: 2019-03-27
Published in Print: 2019-04-24

©2019 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Review
  3. The importance of anthropological methods in the diagnosis of rare diseases
  4. Original Articles
  5. PON1 arylesterase activity, HDL functionality and their correlation in malnourished children
  6. Prevalence of dyslipidemia and factors affecting dyslipidemia in young adults with type 1 diabetes: evaluation of statin prescribing
  7. Myocardial dysfunction in relation to serum thiamine levels in children with diabetic ketoacidosis
  8. Evaluation of long-term follow-up and methimazole therapy outcomes of pediatric Graves’ disease: a single-center experience
  9. Endocrine consequences of neuroblastoma treatment in children: 20 years’ experience of a single center
  10. Analysis of diabetes-associated autoantibodies in children and adolescents with autoimmune thyroid diseases
  11. Adrenal function of extremely premature infants in the first 5 days after birth
  12. Atypical presentation of Leydig cell tumour in three prepubertal patients: diagnosis, treatment and outcomes
  13. The diagnosis of cystinosis in patients reveals new CTNS gene mutations in the Chinese population
  14. Comparing the validity of continuous metabolic syndrome risk scores for predicting pediatric metabolic syndrome: the CASPIAN-V study
  15. Primary pigmented nodular adrenocortical disease (PPNAD): single centre experience
  16. Short Communication
  17. Classical galactosemia patients can achieve high IQ scores
  18. Case Reports
  19. Idiopathic gonadotropin-independent precocious puberty – is regular surveillance required?
  20. MYT1L mutation in a patient causes intellectual disability and early onset of obesity: a case report and review of the literature
  21. A case report and literature review of monoallelic mutation of GHR
  22. Pitfalls in the diagnosis of insulin autoimmune syndrome (Hirata’s disease) in a hypoglycemic child: a case report and review of the literature
Heruntergeladen am 2.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jpem-2018-0433/html
Button zum nach oben scrollen