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2.
Med. clín (Ed. impr.) ; 160(9): 379-384, 12 may 2023. tab, graf
Artigo em Espanhol | IBECS | ID: ibc-220469

RESUMO

Antecedentes y objetivo El índice de masa triponderal (IMT) estimaría mejor que el índice de masa corporal (IMC) el exceso de adiposidad, manteniendo valores estables durante la infancia. Este trabajo pretende determinar la correlación del IMT con marcadores de riesgo metabólico y establecer valores del IMT que se relacionen con un aumento del riesgo metabólico. Material y métodos Estudio multicéntrico, observacional, transversal y prospectivo en menores de 14 años con obesidad. Variables: edad, sexo, estadio puberal, peso, talla, perímetro abdominal, IMC, IMT, glucosa e insulina basales, índice HOMA, presión arterial, perfil lipoproteico, transaminasas y ácido úrico. El IMC y el IMT se expresaron según los valores del estudio longitudinal de Barcelona. Se realizó análisis estadístico con el programa SPSS*. Resultados Se incluyeron 199 pacientes (50,3% varones), con una edad media de 11,08 (2,48) años e IMT de 19,68 (2,36) kg/m3. Se observó correlación del IMT con el perímetro abdominal (r = 0,571; p = 0), la insulina (r = 0,198; p = 0,005), el índice HOMA (r = 0,189; p = 0,008) y el c-HDL (r = −0,188; p = 0,008). El IMT > 20,15 kg/m3 se asoció a insulina ≥ 15 mUI/ml (p = 0,029) y el IMT > 20,36 kg/m3 a c-HDL < 40 mg/dl (p = 0,023). Conclusiones El IMT se correlacionó con el incremento del perímetro abdominal, la insulina y el índice HOMA, y la disminución del c-HDL. El IMT > 20 kg/m3 puede asociarse a elevación de la insulina y a descenso del c-HDL. Por ello, el IMT parece ser un parámetro útil en la valoración de los pacientes pediátricos con obesidad (AU)Background and objective


Triponderal mass index (TMI) would estimate excess adiposity better than body mass index (BMI), maintaining stable values during childhood. This work aims to determine the correlation between TMI and markers of metabolic risk as well as set values of TMI that are related to an increase of metabolic risk. Material and methods Multicenter, observational, cross-sectional and prospective study in children under 14 years of age with obesity. Variables: age, sex, pubertal stage, weight, height, abdominal circumference, BMI, TMI, basal glucose and insulin, HOMA index, blood pressure, lipoprotein profile, transaminases and uric acid. BMI and TMI were expressed according to the values of the Barcelona longitudinal study. Statistical analysis was performed with the SPSS* program. Results One hundred and ninety-nine patients (50.3% male), age 11.08 (2.48) years, TMI 19.68 (2.36) kg/m3. Correlation between TMI and abdominal circumference (r = 0.571; p = 0), insulin (r = 0.198; p = 0.005), HOMA index (r = 0.189; p = 0.008) and HDL-c (r = −0.188; p = 0.008) was observed. IMT > 20.15 kg/m3 was associated with insulin ≥ 15 mIU/ml (p = 0.029) and IMT > 20.36 kg/m3 with HDL-c < 40 mg/dl (p = 0.023). Conclusions TMI was correlated with increase of abdominal circumference, insulin and HOMA index and decrease of HDL-c. IMT > 20 kg/m3 can be associated with increased insulin and decreased HDL-c. Therefore, the IMT seems to be a useful parameter in the assessment of pediatric patients with obesity (AU)


Assuntos
Humanos , Masculino , Feminino , Criança , Resistência à Insulina , Síndrome Metabólica , Obesidade Infantil , Biomarcadores , Estudos Prospectivos , Fatores de Risco , Índice de Massa Corporal , Estudos Transversais , Estudos Longitudinais
3.
Med Clin (Barc) ; 160(9): 379-384, 2023 05 12.
Artigo em Inglês, Espanhol | MEDLINE | ID: mdl-36631326

RESUMO

BACKGROUND AND OBJECTIVE: Triponderal mass index (TMI) would estimate excess adiposity better than body mass index (BMI), maintaining stable values during childhood. This work aims to determine the correlation between TMI and markers of metabolic risk as well as set values of TMI that are related to an increase of metabolic risk. MATERIAL AND METHODS: Multicenter, observational, cross-sectional and prospective study in children under 14 years of age with obesity. VARIABLES: age, sex, pubertal stage, weight, height, abdominal circumference, BMI, TMI, basal glucose and insulin, HOMA index, blood pressure, lipoprotein profile, transaminases and uric acid. BMI and TMI were expressed according to the values of the Barcelona longitudinal study. Statistical analysis was performed with the SPSS* program. RESULTS: One hundred and ninety-nine patients (50.3% male), age 11.08 (2.48) years, TMI 19.68 (2.36)kg/m3. Correlation between TMI and abdominal circumference (r=0.571; p=0), insulin (r=0.198; p=0.005), HOMA index (r=0.189; p=0.008) and HDL-c (r=-0.188; p=0.008) was observed. IMT>20.15kg/m3 was associated with insulin≥15mIU/ml (p=0.029) and IMT>20.36kg/m3 with HDL-c<40mg/dl (p=0.023). CONCLUSIONS: TMI was correlated with increase of abdominal circumference, insulin and HOMA index and decrease of HDL-c. IMT>20kg/m3 can be associated with increased insulin and decreased HDL-c. Therefore, the IMT seems to be a useful parameter in the assessment of pediatric patients with obesity.


Assuntos
Resistência à Insulina , Síndrome Metabólica , Obesidade Infantil , Adolescente , Criança , Humanos , Masculino , Feminino , Estudos Longitudinais , Estudos Transversais , Estudos Prospectivos , Índice de Massa Corporal , Insulina , Fatores de Risco
4.
J Pediatr Genet ; 10(2): 164-172, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-34040816

RESUMO

Microcephaly is defined by a head circumference that is at least two standard deviations below the mean for age and sex of the general population in a specific race. Primary microcephaly may occur as an isolated inborn error, which may damage to the central nervous system or as part of the congenital abnormalities associated with genetic syndrome, affecting multiple organ systems. One of the syndromic forms consists of microcephaly, seizures, and developmental delay caused by biallelic mutations in the gene that encode polynucleotide kinase 3' - phosphatase protein (PNKP). In this article, we reported a newborn male who presented with microcephaly, severe developmental delay, and early-onset refractories seizures, caused by a novel homozygous mutation of the PNKP gene.

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