Assessment and Predictors of Metabolic Syndrome in Patients With Xanthelasma Palpebrarum: An Observational Study

Assessment and Predictors of Metabolic Syndrome in Patients With Xanthelasma Palpebrarum: An Observational Study

Authors

  • Pratika Goyal Department of Dermatology, Venereology and Leprosy. All India Institute of Medical Sciences, Bathinda, Punjab, India
  • Vinita Gupta Department of Dermatology. Geetanjali Medical College and Hospital, Udaipur, Rajasthan, India
  • Sanath Aithal Department of Dermatology, Venereology and Leprosy, KMCH Institute of Health Sciences and Research, Coimbatore, Tamil Nadu, India
  • Dilip Meena Department of Dermatology, Venereology and Leprosy, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India
  • Kanwarjit Singh Dhillon Department of Dermatology, Venereology and Leprosy, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, Uttar Pradesh, India

Keywords:

Cardiovascular risk, Metabolic syndrome, XXanthelasma Palpebrarum, Xanthomas, Xanthomatosis

Abstract

Introduction: Xanthelasma palpebrarum is considered to be a cutaneous marker for cardiovascular diseases, and there is a known association with hypertension, insulin resistance, diabetes mellitus, obesity and stroke.

Objectives: Our aim was to study the association and identify the predictors of Metabolic Syndrome in patients of xanthelasma palpebrarum.

Methods: An observational study was conducted on 55 patients in which patients of both sexes between the ages of 20-70 years without any other skin condition were included after written informed consent. After history and examination, blood pressure and waist circumference were measured in all the subjects. Investigations were sent for fasting blood sugar levels and serum lipid profile. The 2006 IDF Definition of Metabolic Syndrome was used as assessment criteria.

Results: Among the 55 patients, metabolic syndrome was present in 23 patients (41.82%). There was a statistically significant (p<0.05) difference in the values of waist circumference (100% vs. 59.38%, P=0.0003), elevated blood pressure (82.61% vs. 9.38%, P<.0001), raised fasting blood sugar (47.83% vs. 18.75%, P=0.021), and raised triglyceride levels (56.52% vs. 25%, P=0.018) between patients with metabolic syndrome and those without. However, HDL cholesterol levels (34.78% vs. 50%, P=0.262) were comparable between both groups. Also, a patient aged 41 years or more with even a single xanthelasma of more than 1 year’s duration has 76.1% chance of developing metabolic syndrome.

Conclusions: Metabolic syndrome develops in a sizeable number of xanthelasma palpebrarum patients and therefore this gives us an opportunity for early diagnosis and intervention to prevent the development of cardiovascular complications.

References

Chaudhary S, Haque S. Clinico-metabolic profile of Xanthelasma palpebrum. Indian J Clin Exp Dermatol. 2018;4(1):22-5.

Sharma P, Patgiri D, Sharma G, Pathak M. Serum Lipid profile in xanthelasma palpebrarum. Indian J Basic App Med Res. 2013;2(7):732-7.

Nair P, Patel C, Ganjiwale J, Diwan N, Jivani N. Xanthelasma Palpebrarum with Arcus Cornea: A Clinical and Biochemical Study. Indian J Dermatol. 2016;61(3):295-300.

Gondane S, Meherda A, Kothiwala R. To study the prevalence of metabolic syndrome and dyslipidemia in patients of xanthelasma palpebrarum at a tertiary care hospital. Indian J Clin Pract. 2020;31(4):338-42.

Aggarwal R, Rathore PK. A study evaluating xanthelasma palpebrarum clinically and biochemically. Int J Contemp Med Res. 2016;3(9):2565-7.

Dey A, Aggarwal R, Dwivedi S. Cardiovascular profile of xanthelasma palpebrarum. Bio Med Res Int. 2013;2013:932863.

Jain A, Goyal P, Nigam PK, Gurbaksh H, Sharma RC. Xanthelasma palpebrarum – Clinical and biochemical profile in a tertiary care hospital of Delhi. Indian J Clin Biochem. 2007;22(2):151-3.

Rochlani Y, Pothineni NV, Kovelamudi S, Mehta JL. Metabolic syndrome: pathophysiology, management, and modulation by natural compounds. Ther Adv Cardiovasc Dis. 2017;11(8):215-25.

Lindsay RS, Howard B V. Cardiovascular risk associated with the metabolic syndrome. Curr Diab Rep. 2004;4(1):63–8.

DeFronzo RA, Ferrannini E. Insulin resistance. A multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care. 1991;14(3):173–94.

Ferrannini E, Haffner SM, Mitchell BD, Stern MP. Hyperinsulinaemia: the key feature of a cardiovascular and metabolic syndrome. Diabetologia. 1991;34(6):416–22.

Eckel RH, Grundy SM, Zimmet PZ. The metabolic syndrome. Lancet. 2005;365(9468):1415–28.

Kavoussi H, Ebrahimi A, Rezaei M, Ramezani M, Najafi B, Kavoussi R. Serum lipid profile and clinical characteristics of patients with xanthelasma palpebrarum. An Bras Dermatol. 2016;91(4):468-71.

Gangopadadhya DN, Dey SK, Chanda M, Pal D, Chaudhuri S. Serum lipid profile in xanthelasma. Indian J Dermatol. 1998;43(2):53-7.

Christoffersen M, Frikke-Schmidt R, Schnohr P, Jensen GB, Nordestgaard BG, Tybjærg-Hansen A. Xanthelasmata, arcus corneae, and ischaemic vascular disease and death in general population: prospective cohort study. Br Med J. 2011;343:d5497.

Mishra TK, Das S, Patnaik UK, Routray SN, Behera M. Relationship of metabolic syndrome with quantum of coronary artery disease in Indian patients with chronic stable angina. Metab Syndr Relat Disord. 2004;2(3):187-91.

Penalva RA, Huoya Mde O, Correia LC, Feitosa GS, Ladeia AM. Lipid profile and intensity of atherosclerosis disease in acute coronary syndrome. Arq Bras Cardiol. 2008;90(1):24-30.

Fallow GD, Singh J. The prevalence, type and severity of cardiovascular disease in diabetic and non-diabetic patients: a matched-paired retrospective analysis using coronary angiography as the diagnostic tool. Mol Cell Biochem. 2004;261(1-2):263-9.

Chuang TJ, Huang CL, Lee CH, Hsieh CH, Hung YJ, Hung CF, et al. The differences of metabolic syndrome in elderly subgroups: A special focus on young-old, old-old and oldest old. Archives of Gerontology and Geriatrics. 2016;65:92-7.

Wu TW, Chan HL, Hung CL, Lu IJ, Wang SD, Wang SW, et al. Differential patterns of effects of age and sex on metabolic syndrome in Taiwan: implication for the inadequate internal consistency of the current criteria. Diabetes Res Clin Pract . 2014;105(2):239–44.

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Published

2024-10-30

How to Cite

1.
Assessment and Predictors of Metabolic Syndrome in Patients With Xanthelasma Palpebrarum: An Observational Study. Dermatol Pract Concept [Internet]. 2024 Oct. 30 [cited 2024 Dec. 3];14(4):e2023218. Available from: https://dpcj.org/index.php/dpc/article/view/4082

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