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2022, Número 3-4

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MEDICC Review 2022; 24 (3-4)


Validation of a New Diagnostic Index to Determine Metabolic Obesity Phenotypes in Normal-Weight Women in Early Pregnancy

Artiles-Santana A, Sarasa-Muñoz NL, Izaguirre-Castellanos E, Álvarez Guerra-González E, Cañizares-Luna O
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Idioma: Ingles.
Referencias bibliográficas: 30
Paginas: 30-35
Archivo PDF: 291. Kb.


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REFERENCIAS (EN ESTE ARTÍCULO)

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  2. Woldemariam MM, Evans KD, Butwin AN,Pargeon RL, Volz KR, Spees C. Measuringabdominal visceral fat thickness with sonography:a methodologic approach. J Diagn MedSonogr. 2018 Jan 13;34(2):91–6. https://doi.org/10.1177%2F8756479317747210

  3. Suárez-Carmona W, Sánchez-Oliver AJ,González-Jurado JA. Fisiopatología de laobesidad: perspectiva actual. Rev Chil Nutr.2017;44(3):226–33. http://dx.doi.org/10.4067/S0717-75182017000300226. Spanish.

  4. Costa Gil JE, Spinedi E. La tormentosa relaciónentre las grasas y el desarrollo de la diabetes mellitusde tipo 2: actualizado. Parte 1. Rev ArgentEndocrinol Metab. 2017 Jul–Sep;54(3):109–23.Spanish.

  5. Narankiewicz DP. Caracterización de los fenotiposmetabólicamente discordantes de lapoblación adulta de Málaga [thesis]. [Málaga]:Universidad de Málaga, Publicaciones y DivulgaciónCientífi ca; 2014. 194 p. Spanish.

  6. Pinto Lima MC, Oliveira Melo AS, Santos Sena AS,Oliveira Barros V, Ramos Amorim MM. Metabolicsyndrome in pregnancy and postpartum: prevalenceand associated factors. Rev Assoc MedBras. 2019 Dec;65(12):1489–95. http://doi.org/10.1590/1806-9282.65.12.1489

  7. Expert Panel on Detection, Evaluation, and Treatmentof High Blood Cholesterol in Adults. Executivesummary of the Third Report of the NationalCholesterol Education Program (NCEP) expertpanel on detection, evaluation, and treatment ofhigh blood cholesterol in adults (Adult TreatmentPanel III). JAMA. 2001 May 16;285(19):2486–97.https://doi.org/10.1001/jama.285.19.2486

  8. Mejia-Montilla J, Reyna-Villasmil E. Obesidad,insulinorresistencia e hipertensión durante elembarazo. Rev Venez Endocrinol Metab. 2017Oct;15(3):169–81. Spanish.

  9. De-Souza LR, Kogan E, Berger H, Alves JG,Lebovic G, Retnakaran R, et al. Abdominal adiposityand insulin resistance in early pregnancy. JObst Gynecol Canada. 2014 Nov;36(11):969–75.http://doi.org/10.1016/S1701-2163(15)30409-6

  10. Catalano PM, Shankar K. Obesity and pregnancy:mechanisms of short term and long term adverseconsequences for mother and child. BMJ. 2017Feb 8;356:j1. https://doi.org/10.1136/bmj.j1

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  12. Saif Elnasr I, Ammar H. Ultrasound markersfor prediction of gestational diabetes mellitus inearly pregnancy in Egyptian women: observationalstudy. J Matern Fetal Neonatal Med. 2021Oct;34(19):3120–6. https://doi.org/10.1080/14767058.2019.1678132

  13. Suzuki R, Watanabe S, Hirai Y, Akiyama K,Nishide T, Matsushima Y, et al. Abdominal wallfat index, estimated by ultrasonography, forassessment of the ratio of visceral fat to subcutaneousfat in the abdomen. Am J Med. 1993Sep;95(3):309–14. https://doi.org/10.1016/0002-9343(93)90284-v

  14. Straughen J, Trudeau S, Misra VK. Changesin adipose tissue distribution during pregnancyin overweight and obese comparedwith normal weight women. Nutr Diabetes.2013 Aug 26;3(8):e84. https://doi.org/10.1038/nutd.2013.25

  15. Nassr AA, Shazly SA, Trinidad MC, El-NasharSA, Marroquin AM, Brost BC. Body fat index: anovel alternative to body mass index for predictionof gestational diabetes and hypertensive disordersin pregnancy. Eur J Obst Gynecol ReprodBiol. 2018 Sep;228:243–8. https://doi.org/10.1016/j.ejogrb.2018.07.001

  16. Alkhalaqi A, Al-Naimi F, Qassmi R, Shi Z, GanjiV, Salih R, et al. Visceral adiposity index is a betterpredictor of type 2 diabetes than body massindex in Qatari population. Medicine (Baltimore).2020 Aug 28;99(35):e21327. https://doi.org/10.1097/md.0000000000021327

  17. Pineda H, Castro J, Lares M, Huérfano T, BritoS, Velasco M, et al. Lipid accumulation product(LAP) and visceral adiposity index (VAI) asimple and clinically useful surrogate marker formetabolic syndrome and cardiovascular diseasepredictor in non-diabetic Venezuelan adults. JPharm Pharm Sci. 2017 Sep;2(2):1–8. http://dx.doi.org/10.24218/vjpps.2017.20

  18. Du T, Yu X, Zhang J, Sun X. Lipid accumulationproduct and visceral adiposity index are eff ectivemarkers for identifying the metabolicallyobese normal-weight phenotype. Acta Diabetol.2015 Oct;52(5):855–63. https://doi.org/10.1007/s00592-015-0715-2

  19. Madeira FB, Silva AA, Veloso HF, Goldani MZ,Kac G, Cardoso VC, et al. Normal weight obesityis associated with metabolic syndrome andinsulin resistance in young adults from a middleincomecountry. PLoS One. 2013;8(3):e60673.https://doi.org/10.1371/journal.pone.0060673

  20. Ahmadi F, Moukhah S, Hosseini R, MaghariA. Ultrasound evaluation of visceral fat thicknessfor prediction of metabolic syndrome inthe fi rst trimester of pregnancy in a sampleof non-obese Iranian women. Oman Med J.2019 Jul;34(4):308–12. https://doi.org/10.5001/omj.2019.61

  21. Grieger JA, Grzeskowiak LE, Smithers LG,Bianco-Miotto T, Leemaqz SY, Andraweera P, etal. Metabolic syndrome and time to pregnancy:a retrospective study of nulliparous women.BJOG. 2019 Jun;126(7):852–62. https://doi.org/10.1111/1471-0528.15647

  22. Armellini F, Zamboni M, Rigo L, Todesco T,Bergamo-Andreis IA, Procacci C, et al. Thecontribution of sonography to the measurementof intra-abdominal fat. J Clin Ultrasound. 1990Sep;18(7):563–7.

  23. Ministry of Public Health (CU). Tablas Antropométricasde la Embarazada [Internet]. Havana:Ministry of Public Health (CU). 2010 [cited 2019Jun 15]. 4 p. Available at: http://fi les.sld.cu/nutricion/files/2011/04/tablas-antropometricas-embarazada.pdf. Spanish.

  24. Carmenate Milián L, Moncada Chévez FA, Leiva B,Waldermar E. Manual de Medidas Antropométricas.Programa Salud, Trabajo y Ambiente en AméricaCentral (SALTRA). Instituto Regional de Estudiosen Sustancias Tóxicas. Heredia (CR): UniversidadNacional de Costa Rica; 2014. Spanish.

  25. Pérez Caballero MD, León Álvarez JL, DueñasHerrera A, Alfonzo Guerra JP, NavarroDespaigne DA, de la Noval García R, et al. Guíacubana de diagnóstico, evaluación y tratamientode la hipertensión arterial. Rev Cubana Med.2017;56(4):242–321. Spanish.

  26. Padrón MP. Segundo Consenso Cubano deDiabetes y Embarazo. Rev Cubana Endocrinol.2018;29(1):1–12. Spanish.

  27. Wani K, Sabico S, Alnaami AM, Al-Musharaf S,Fouda MA, Turkestani IZ, et al. Early-pregnancymetabolic syndrome and subsequent incidencein gestational diabetes mellitus in Arab women.Front Endocrinol (Lausanne). 2020 Feb 27;11:98.https://doi.org/10.3389/fendo.2020.00098

  28. Bravo-Grau S, Cruz JP. Estudios de exactituddiagnóstica: herramientas para su interpretación.Rev Chil Radiol. 2015;21(4):158–64.Spanish. http://dx.doi.org/10.4067/S0717-93082015000400007

  29. de Mutsert R, Gast K, Widya R, de Koning E,Jazet I, Lamb H, et al. Associations of abdominalsubcutaneous and visceral fat with insulinresistance and secretion diff er between menand women: The Netherlands Epidemiology ofObesity Study. Metab Syndr Relat Disor. 2018Feb;16(1):54–63. https://doi.org/10.1089/met.2017.0128

  30. Rønn PF, Andersen GS, Lauritzen T, ChristensenDL, Aadahl M, Carstensen B, et al. Abdominalvisceral and subcutaneous adipose tissue andassociations with cardiometabolic risk in Inuit,Africans and Europeans: a cross-sectional study.BMJ Open. 2020 Sep 14;10(9):e038071. https://doi.org/10.1136/bmjopen-2020-038071




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