Microcephaly measurement in adults and its association with clinical variables

Nicole Rezende da  Costa; Livia Mancine; Rogerio Salvini; Juliana de Melo Teixeira; Roberta Diehl  Rodriguez; Renata Elaine Paraizo Leite; Camila Nascimento; Carlos Augusto  Pasqualucci; Ricardo  Nitrini; Wilson Jacob-Filho; Beny  Lafer; Lea Tenenholz Grinberg; Claudia Kimie  Suemoto; Paula Villela  Nunes

doi:10.11606/s1518-8787.2022056004175

Autores

Nicole Rezende da Costa Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0002-8420-1680
Livia Mancine Universidade Federal de Goiás. Instituto de Informática. Goiânia, GO, Brasil https://orcid.org/0000-0002-4123-4861
Rogerio Salvini Universidade Federal de Goiás. Instituto de Informática. Goiânia, GO, Brasil https://orcid.org/0000-0001-8889-6654
Juliana de Melo Teixeira Universidade Federal de Goiás. Instituto de Informática. Goiânia, GO, Brasil https://orcid.org/0000-0001-7731-9464
Roberta Diehl Rodriguez Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0002-6544-7861
Renata Elaine Paraizo Leite Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0002-5878-398X
Camila Nascimento Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0002-8170-7635
Carlos Augusto Pasqualucci Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0001-6608-2473
Ricardo Nitrini Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0002-5721-1525
Wilson Jacob-Filho Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0003-2290-4492
Beny Lafer Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0002-6132-9999
Lea Tenenholz Grinberg V University of California. Memory and Aging Center. San Francisco, California, United States https://orcid.org/0000-0002-6809-0618
Claudia Kimie Suemoto Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0002-5942-4778
Paula Villela Nunes Universidade de São Paulo. Faculdade de Medicina. São Paulo, SP, Brasil https://orcid.org/0000-0001-5323-2110

DOI:

https://doi.org/10.11606/s1518-8787.2022056004175

Palavras-chave:

Adult, Microcephaly, classification, Cephalometry, Dementia, Data Mining

Resumo

OBJECTIVE: To establish a microcephaly cut-off size in adults using head circumference as an indirect measure of brain size, as well as to explore factors associated with microcephaly via data mining. METHODS: In autopsy studies, head circumference was measured with an inelastic tape placed around the skull. Total brain volume was also directly measured. A linear regression was used to determine the association of head circumference with brain volume and clinical variables. Microcephaly was defined as head circumference that were two standard deviations below the mean of significant clinical variables. We further applied an association rule mining to find rules associating microcephaly with several sociodemographic and clinical variables. RESULTS: In our sample of 2,508 adults, the mean head circumference was 55.3 ± 2.7cm. Head circumference was related to height, cerebral volume, and sex (p < 0.001 for all). Microcephaly was present in 4.7% of the sample (n = 119). Out of 34,355 association rules, we found significant relationships between microcephaly and a clinical dementia rating (CDR) > 0.5 with an informant questionnaire on cognitive decline in the elderly (IQCODE) ≥ 3.4 (confidence: 100% and lift: 5.6), between microcephaly and a CDR > 0.5 with age over 70 years (confidence: 42% and lift: 2.4), and microcephaly and males (confidence: 68.1% and lift: 1.3). CONCLUSION: Head circumference was related to cerebral volume. Due to its low cost and easy use, head circumference can be used as a screening test for microcephaly, adjusting it for gender and height. Microcephaly was associated with dementia at old age.

Referências

Weaver DD, Christian JC. Familial variation of head size and adjustment for parental head circumference. J Pediatr. 1980;96(6):990-4. https://doi.org/10.1016/s0022-3476(80)80623-8

Hshieh TT, Fox ML, Kosar CM, Cavallari M, Guttmann CRG, Alsop D, et al. Head circumference as a useful surrogate for intracranial volume in older adults. Int Psychogeriatr. 2016;28(1):157-62. https://doi.org/10.1017/S104161021500037X

Ashwal S, Michelson D, Plawner L, Dobyns WB; Quality Standards Subcommittee of the American Academy of Neurology and the Practice Committee of the Child Neurology Society. Practice parameter: evaluation of the child with microcephaly (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology and the Practice Committee of the Child Neurology Society. Neurology. 2009;73(11):887-97. https://doi.org/10.1212/WNL.0b013e3181b783f7

Opitz JM, Holt MC. Microcephaly: general considerations and aids to nosology. J Craniofac Genet Dev Biol. 1990;10(2):175-204.

Roche AF, Mukherjee D, Guo SM. Head circumference growth patterns: birth to 18 years. Hum Biol. 1986 [cited 2021 April 15 ];58(6):893- 906. Available from: http://www.jstor.org/stable/41463831

Abuelo D. Microcephaly syndromes. Semin Pediatr Neurol. 2007;14(3):118-27. https://doi.org/10.1016/j.spen.2007.07.003

Krauss MJ. Morrissey AE, Winn HN, Amon E, Leet TL. Microcephaly: an epidemiologic analysis. Am J Obstet Gynecol. 2003;188(6):1484-90. https://doi.org/10.1067/mob.2003.452

Graves AB, Mortimes JA, Larson EB, Wenzlow A, Bowen JD, McCormick WC. Head circumference as a measure of cognitive reserve. Association with severity of impairment in Alzheimer’s disease. Br J Psychiatry. 1996;169(1):86-92. https://doi.org/10.1192/bjp.169.1.86

Chang S, Ong HL, Abdin E, Vaingankar JA, Jeyagurunathan A, Shafie S, et al. Head circumference, leg length and its association with dementia among older adult population in Singapore. Int J Geriatr Psychiatry. 2017;32(12):e1-9. https://doi.org/10.1002/gps.4643

Wang F, Mortimer JA, Ding D, Luo J, Zhao Q, Liang X, et al. Smaller head circumference combined with lower education predicts high risk of incident dementia: The Shanghai Aging Study. Neuroepidemiology. 2019;53(3-4):152-61. https://doi.org/10.1159/000501103

Illingworth RS, Eid EE. The head circumference in infants and other measurements to which it may be related. Acta Paediatr Scand. 1971;60(3):333-7. https://doi.org/10.1111/j.1651-2227.1971.tb06666.x

World Health Organization. head-circumference-for-age. Geneva (CH): WHO; 2021 [cited 15 April 2021]. Available from: http://www.who.int/childgrowth/standards/hc_for_age/en/index.html

Grinberg LT, Ferretti RE, Farfel JM, Leite R, Pasqualucci CA, Rosemberg S, et al.; Brazilian Aging Brain Study Group. Brain bank of the Brazilian Aging Brain Study Group: a milestone reached and more than 1,600 collected brains. Cell Tissue Bank. 2007;8(2):151-62. https://doi.org/10.1007/s10561-006-9022-z

Suemoto CK, Damico MV, Ferretti RE, Grinberg LT, Farfel JM, Leite REP, et al.; Brazilian Aging Brain Study Group. Depression and cardiovascular risk factors: evidence from a large postmortem sample. Int J Geriatr Psychiatry. 2013;28(5):487-93. https://doi.org/10.1002/gps.3850

Ferretti-Rebustini REL, Jacob-Filho W, Suemoto CK, Farfel JM, Leite REP, Grinberg LT, et al. Factors associated with morphometric brain changes in cognitively normal aging. Dement Neuropsychol. 2015;9(2):103-9. https://doi.org/10.1590/1980-57642015DN92000004

Ferretti REL, Damim AE, Brucki SMD, Morillo LS, Perroco TR, Campora F, et al. Post-mortem diagnosis of dementia by informant interview. Dement Neuropsychol. 2010;4(2):138-44. https://doi.org/10.1590/S1980-57642010DN40200011

Jorm AF. A short form of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE): development and cross-validation. Psychol Med. 1994;24(1):145-53. https://doi.org/10.1017/s003329170002691x

Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology.1993;43(11):2412-4. https://doi.org/10.1212/wnl.43.11.2412-a

Harrison JK, Stott DJ, McShane R, Noel-Storr AH, Swann-Price RS, Quinn TJ. Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) for the early diagnosis of dementia across a variety of healthcare settings. Cochrane Database Syst Rev. 2016;(11):CD011333. https://doi.org/10.1002/14651858.CD011333.pub2

Son SJ, Lee KS, Oh BH, Hong CH. The effects of head circumference (HC) and lifetime alcohol consumption (AC) on cognitive function in the elderly. Arch Gerontol Geriatr. 2012;54(2):343-7. https://doi.org/10.1016/j.archger.2011.05.025

Tie K, Wang H, Wang X, Chen L. Measurement of bone mineral density in the tunnel regions for anterior cruciate ligament reconstruction by dual-energy X-ray absorptiometry, computed tomography scan, and the immersion technique based on Archimedes' principle. Arthroscopy. 2012;28(10):1464-71. https://doi.org/10.1016/j.arthro.2012.04.053

Agraawal R, Imieliński T, Swami A. Mining association rules between sets of items in large databases. ACM SIGMOD Rec. 1993;22(2):207-16. https://doi.org/10.1145/170036.170072

Raz N, Rodrigue KM. Differential aging of the brain: patterns, cognitive correlates and modifiers. Neurosci Biobehav Rev. 2006;30(6):730-48. https://doi.org/10.1016/j.neubiorev.2006.07.001

Katzman R, Terry R, DeTeresa R, Brown T, Davies P, Fuld P, et al. Clinical, pathological, and neurochemical changes in dementia: a subgroup with preserved mental status and numerous neocortical plaques. Ann Neurol. 1988;23(2):138-44. https://doi.org/10.1002/ana.410230206

Mortimer JA, Snowdon DA, Markesbery WR. Head circumference, education and risk of dementia: findings from the Nun Study. J Clin Exp Neuropsychol. 2003;25(5):671-9. https://doi.org/10.1076/jcen.25.5.671.14584

Joshi S, Morley JE. Cognitive impairment. Med Clin North Am. 2006;90(5):769-87. https://doi.org/10.1016/j.mcna.2006.05.014

Bzdok D, Meyer-Lindenberg A. Machine learning for precision psychiatry: opportunities and challenges. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(3):223-30. https://doi.org/10.1016/j.bpsc.2017.11.007

Librenza-Garcia D, Kotzian BJ, Yang J, Mwangi B, Cao B, Lima LNP, et al. The impact of machine learning techniques in the study of bipolar disorder: a systematic review. Neurosci Biobehav Rev. 2017;80:538-54. https://doi.org/10.1016/j.neubiorev.2017.07.004

Chelly J, Mandel JL. Monogenic causes of X-linked mental retardation. Nat Rev Genet. 2001;2(9):669-80. https://doi.org/10.1038/35088558

Woodward M, Zhang X, Barzi F, Pan W, Ueshima H, Rodgers A, MacMahon S; Asia Pacific Cohort Studies Collaboration. The effects of diabetes on the risks of major cardiovascular diseases and death in the Asia-Pacific region. Diabetes Care. 2003;26(2):360-6. https://doi.org/10.2337/diacare.26.2.360

Konishi M, Kimura K. Estimation of brain volume from physical measurements. Anthropol Sci. 1995;103(3):279-90. https://doi.org/10.1537/ase.103.279

Baaré WFC, Hulshoff Pol HE, Boomsma DI, Posthuma D, Geus EJC, Schnack HG, et al. Quantitative genetic modeling of variation in human brain morphology. Cereb Cortex. 2001;11(9):816-24. https://doi.org/10.1093/cercor/11.9.816

Bartholomeusz HH, Courchesne E, Karns CM. Relationship between head circumference and brain volume in healthy normal toddlers, children, and adults. Neuropediatrics. 2002;33(5):239-41. https://doi.org/10.1055/s-2002-36735

Kac G. [Secular height trend: a literature review]. Cad Saude Publica. 1999;15(3):451-61. Portuguese. https://doi.org/10.1590/S0102-311X1999000300002

Ishikawa T, Furuyama M, Oqawa J, Wada Y. Growth in head circumference from birth to fifteen years of age in Japan. Acta Paediatr Scand. 1987;76(5):824-8. https://doi.org/10.1111/j.1651-2227.1987.tb10571.x

Ounsted M, Moar VA, Scott A. Head circumference charts updated. Arch Dis Child. 1985;60(10):936-9. https://doi.org/10.1136/adc.60.10.936

Nunes PV, Suemoto CK, Leite REP, Ferretti-Rebustini REL, Pasqualucci CA, Nitrini R, et al. Factors associated with brain volume in major depression in older adults without dementia: results from a large autopsy study. Int J Geriatr Psychiatry. 2018;33(1):14-20. https://doi.org/10.1002/gps.4649

Nunes PV, Nascimento CF, Kim HK, Andreazza AC, Brentani HP, Suemoto CK, et al. Low brain-derived neurotrophic factor levels in post-mortem brains of older adults with depression and dementia in a large clinicopathological sample. J Affect Disord. 2018;241:176-81. https://doi.org/10.1016/j.jad.2018.08.025

Microcephaly measurement in adults and its association with clinical variables

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