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Visceral adiposity index as an indicator of cardiometabolic risk in patients treated for craniopharyngioma

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Abstract

Purpose

Craniopharyngioma is associated with metabolic alterations leading to increased cardiovascular mortality. Recently, the visceral adiposity index has been proposed as a marker of visceral adipose tissue dysfunction and of the related cardiometabolic risk. The role of the visceral adiposity index has never been explored in craniopharyngioma patients. We assessed the cardiometabolic risk on the basis of the visceral adiposity index in craniopharyngioma patients.

Methods

We evaluated data of 24 patients treated for craniopharyngioma in a single-centre. We investigated the relationship among patients’ clinical and biochemical features, cardiovascular risk -assessed by the Framingham and the atherosclerotic cardiovascular disease risk scores-, visceral adiposity index and adipose tissue dysfunction severity.

Results

Increased visceral adiposity index was found in 8 patients (33%). Adipose tissue dysfunction resulted to be severe, moderate or mild in 5, 2 and 1 cases. Increased visceral adiposity index significantly correlated with the occurrence of metabolic syndrome (p 0.027), IRI (p 0.001), triglycerides (p < 0.001), HOMA-IR (p < 0.001) and with lower ISI-Matsuda (p 0.005) and HDL-cholesterol (p < 0.001). Higher degree of adipose tissue dysfunction associated with increased insulin resistance. No gender difference was found for visceral adiposity index, adipose tissue dysfunction severity, and cardiovascular risk scores. Patients with adulthood onset craniopharyngioma showed higher Framingham risk score (p 0.004), atherosclerotic cardiovascular disease 10-year (p < 0.001) and lifetime (p 0.018) risk scores than those with childhood onset disease.

Conclusions

Visceral adiposity index is increased in one third of our patients with craniopharyngioma, even if metabolic syndrome does not occur. Increased visceral adiposity index and adipose tissue dysfunction severity correlate with insulin sensitivity parameters, do not correlate with Framingham or atherosclerotic cardiovascular disease risk scores, and are not influenced by gender and age of disease onset.

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References

  1. G.R. Bunin, T.S. Surawicz, P.A. Witman, S. Preston-Martin, F. Davis, J.M. Bruner, The descriptive epidemiology of craniopharyngioma. J. Neurosurg. 89(4), 547–551 (1998)

    Article  CAS  PubMed  Google Scholar 

  2. N. Karavitaki, Management of craniopharyngiomas. J. Endocrinol. Invest. 37(3), 219–228 (2014)

    Article  CAS  PubMed  Google Scholar 

  3. H.L. Müller, U. Gebhardt, C. Teske, A. Faldum, I. Zwiener, M. Warmuth-Metz, T. Pietsch, F. Pohl, N. Sörensen, G. Calaminus, Post-operative hypothalamic lesions and obesity in childhood craniopharyngioma: results of the multinational prospective trial kraniopharyngeom 2000 after 3-year follow-up. Eur. J. Endocrinol. 165(1), 17–24 (2011)

    Article  PubMed  Google Scholar 

  4. N. Karavitaki, S. Cudlip, C.B. Adams, J.A. Wass, Craniopharyngiomas. Endocr. Rev. 27(4), 371–397 (2006)

    Article  PubMed  Google Scholar 

  5. H.L. Müller, Childhood craniopharyngioma—current concepts in diagnosis, therapy and follow-up. Nat. Rev. Endocrinol. 6(11), 609–618 (2010)

    Article  PubMed  Google Scholar 

  6. E.M. Erfurth, H. Holmer, S.B. Fjalldal, Mortality and morbidity in adult craniopharyngioma. Pituitary 16(1), 46–55 (2013)

    Article  PubMed  Google Scholar 

  7. E. Elowe-Gruau, J. Beltrand, R. Brauner, G. Pinto, D. Samara-Boustani, C. Thalassinos, K. Busiah, K. Laborde, N. Boddaert, M. Zerah, C. Alapetite, J. Grill, P. Touraine, C. Sainte-Rose, M. Polak, S. Puget, Childhood craniopharyngioma: hypothalamus-sparing surgery decreases the risk of obesity. J. Clin. Endocrinol. Metab. 98(6), 2376–2382 (2013)

    Article  CAS  PubMed  Google Scholar 

  8. A. Romero-Corral, V.M. Montori, V.K. Somers, J. Korinek, R.J. Thomas, T.G. Allison, F. Mookadam, F. Lopez-Jimenez, Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: a systematic review of cohort studies. Lancet 368(9536), 666–678 (2006)

    Article  PubMed  Google Scholar 

  9. M.G. Franzosi, Should we continue to use BMI as a cardiovascular risk factor? Lancet 9536, 624–625 (2006)

    Article  Google Scholar 

  10. E.F. Schisterman, B.W. Whitcomb, Coronary age as a risk factor in the modified Framingham risk score. BMC Med. Imaging 4(1), 1 (2004)

    Article  PubMed  PubMed Central  Google Scholar 

  11. D.C. Goff Jr, D.M. Lloyd-Jones, G. Bennett, S. Coady, R.B. D’Agostino, R. Gibbons, P. Greenland, D.T. Lackland, D. Levy, C.J. O’Donnell, J.G. Robinson, J.S. Schwartz, S.T. Shero, S.C. Smith Jr, P. Sorlie, N.J. Stone, P.W. Wilson, 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American college of cardiology/American heart association task force on practice guidelines. J. Am. Coll. Cardiol 63(25 Pt B), 2935–2959 (2014)

    Article  PubMed  Google Scholar 

  12. M.C. Amato, C. Giordano, M. Galia, A. Criscimanna, S. Vitabile, M. Midiri, A. Galluzzo, Visceral adiposity index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care. 33(4), 920–922 (2010)

    Article  PubMed  PubMed Central  Google Scholar 

  13. M.C. Amato, C. Giordano, Visceral adiposity index: an indicator of adipose tissue dysfunction. Int. J. Endocrinol. 2014, 730827 (2014)

    Article  PubMed  PubMed Central  Google Scholar 

  14. American Diabetes Association, Standards of medical care in diabetes—2016. Diabetes Care 39(Suppl 1), S1–2 (2016)

    Google Scholar 

  15. D.R. Matthews, J.P. Hosker, A.S. Rudenski, B.A. Naylor, D.F. Treacher, R.C. Turner, Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 28(7), 412–419 (1985)

    Article  CAS  PubMed  Google Scholar 

  16. M. Matsuda, R.A. DeFronzo, Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care. 22(9), 1462–1470 (1999)

    Article  CAS  PubMed  Google Scholar 

  17. P.W. Wilson, S.R. Bozeman, T.M. Burton, D.C. Hoaglin, R. Ben-Joseph, C.L. Pashos, Prediction of first events of coronary heart disease and stroke with consideration of adiposity. Circulation. 118(2), 124–130 (2008)

    Article  PubMed  Google Scholar 

  18. M.C. Amato, C. Giordano, M. Pitrone, A. Galluzzo, Cut-off points of the visceral adiposity index (VAI) identifying a visceral adipose dysfunction associated with cardiometabolic risk in a caucasian sicilian population. Lipids. Health. Dis. 10, 183 (2011)

    Article  PubMed  PubMed Central  Google Scholar 

  19. A.M. Pereira, E.M. Schmid, P.J. Schutte, J.H. Voormolen, N.R. Biermasz, S.W. van Thiel, E.P. Corssmit, J.W. Smit, F. Roelfsema, J.A. Romijn, High prevalence of long-term cardiovascular, neurological and psychosocial morbidity after treatment for craniopharyngioma. Clin. Endocrinol. (Oxf) 62(2), 197–204 (2005)

    Article  Google Scholar 

  20. C.L. Roth, Hypothalamic obesity in craniopharyngioma patients: disturbed energy homeostasis related to extent of hypothalamic damage and Its implication for obesity intervention. J. Clin. Med. 4(9), 1774–1797 (2015)

    Article  PubMed  PubMed Central  Google Scholar 

  21. J.D. Brunzell, M. Davidson, C.D. Furberg, R.B. Goldberg, B.V. Howard, J.H. Stein, J.L. Witztum, Lipoprotein management in patients with cardiometabolic risk: consensus conference report from the American diabetes association and the American college of cardiology foundation. J. Am. Coll. Cardiol. 51(15), 1512–1524 (2008)

    Article  PubMed  Google Scholar 

  22. M.C. Amato, G. Pizzolanti, V. Torregrossa, S. Misiano, S. Milano, C. Giordano, Visceral adiposity index (VAI) is predictive of an altered adipokine profile in patients with type 2 diabetes. PLoS One. 9(3), e91969 (2014)

    Article  PubMed  PubMed Central  Google Scholar 

  23. B. Mohammadreza, H. Farzad, K. Davoud, A. Fereidoun, Prognostic significance of the complex “Visceral adiposity index” vs. simple anthropometric measures: Tehran lipid and glucose study. Cardiovasc. Diabetol. 11, 20 (2012)

    Article  PubMed  PubMed Central  Google Scholar 

  24. M.C. Amato, M. Verghi, A. Galluzzo, C. Giordano, The oligomenorrhoic phenotypes of polycystic ovary syndrome are characterized by a high visceral adiposity index: a likely condition of cardiometabolic risk. Hum. Reprod. 26(6), 1486–1494 (2011)

    Article  PubMed  Google Scholar 

  25. A. Ciresi, M.C. Amato, R. Pivonello, E. Nazzari, L.F. Grasso, F. Minuto, D. Ferone, A. Colao, C. Giordano, The metabolic profile in active acromegaly is gender-specific. J. Clin. Endocrinol. Metab. 98(1), E51–9 (2013)

    Article  CAS  PubMed  Google Scholar 

  26. A. Ciresi, M.C. Amato, V. Guarnotta, F. Lo Castro, C. Giordano, Higher doses of cabergoline further improve metabolic parameters in patients with prolactinoma regardless of the degree of reduction in prolactin levels. Clin. Endocrinol. (Oxf) 79(6), 845–852 (2013)

    Article  CAS  Google Scholar 

  27. G.T. Russo, A.M. Labate, A. Giandalia, E.L. Romeo, P. Villari, A. Alibrandi, G. Perdichizzi, D. Cucinotta, Twelve-month treatment with Liraglutide ameliorates Visceral Adiposity Index and common cardiovascular risk factors in type 2 diabetes outpatients. J. Endocrinol. Invest. 38(1), 81–89 (2015)

    Article  CAS  PubMed  Google Scholar 

  28. H. Holmer, B. Ekman, J. Björk, C.H. Nordstöm, V. Popovic, A. Siversson, E.M. Erfurth, Hypothalamic involvement predicts cardiovascular risk in adults with childhood onset craniopharyngioma on long-term GH therapy. Eur. J. Endocrinol. 161(5), 671–679 (2009)

    Article  CAS  PubMed  Google Scholar 

  29. E. Profka, C. Giavoli, S. Bergamaschi, E. Ferrante, E. Malchiodi, E. Sala, E. Verrua, G. Rodari, M. Filopanti, P. Beck-Peccoz, A. Spada, Analysis of short- and long-term metabolic effects of growth hormone replacement therapy in adult patients with craniopharyngioma and non-functioning pituitary adenoma. J. Endocrinol. Invest. 38(4), 413–420 (2015)

    Article  CAS  PubMed  Google Scholar 

  30. C. Gazzaruso, M. Gola, I. Karamouzis, R. Giubbini, A. Giustina, Cardiovascular risk in adult patients with growth hormone (GH) deficiency and following substitution with GH--an update. J. Clin. Endocrinol. Metab. 99(1), 18–29 (2014)

    Article  CAS  PubMed  Google Scholar 

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Correspondence to Francesco Ferraù.

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The authors declare that they have no competing interests.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Francesco Ferrau and Federica Spagnolo are contributed equally to the study

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Ferraù, F., Spagnolo, F., Cotta, O.R. et al. Visceral adiposity index as an indicator of cardiometabolic risk in patients treated for craniopharyngioma. Endocrine 58, 295–302 (2017). https://doi.org/10.1007/s12020-016-1196-y

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