Ann Pediatr Endocrinol Metab.  2022 Sep;27(3):201-206. 10.6065/apem.2142178.089.

Single Point Insulin Sensitivity Estimator for predicting type 2 diabetes mellitus in obese adolescents

Affiliations
  • 1Department of Pediatrics, Veterans Health Service, Seoul, Korea
  • 2Department of Pediatrics, Korea University College of Medicine, Seoul, Korea

Abstract

Purpose
The prevalence of adolescents with type 2 diabetes mellitus (T2DM) has rapidly increased in Korea over the past few decades with the increase in the number of obese adolescents. The single point insulin sensitivity estimator (SPISE) was recently introduced as a surrogate marker for insulin sensitivity to predict T2DM in adults. We aimed to determine risk factors for T2DM in obese adolescents, including SPISE.
Methods
This retrospective study included 104 adolescents diagnosed with T2DM at Korea University Hospital between January 2010 and December 2020. We compared clinical and biochemical parameters and the SPISE of normoglycemic overweight and obese individuals with those of prediabetic and diabetic adolescents to determine risk factors for T2DM. Receiver operating characteristic analysis was performed with the Youden index to determine the cutoff point of SPISE.
Results
Frequency of fatty liver and family history of T2DM were significantly higher and SPISE level was significantly lower in patients with T2DM than in normoglycemic overweight/obese and prediabetic adolescents (p<0.01). A family history of T2DM, fatty liver, and SPISE value below the cutoff point (4.49) were identified as significant risk factors for T2DM in multiple logistic regression analysis after controlling for age, sex, and body mass index standard deviation score (p<0.01).
Conclusion
Family history of T2DM, fatty liver, and low SPISE (<4.49) are risk factors that can independently affect the occurrence of T2DM in obese adolescents. Among these risk factors, SPISE is a promising marker for predicting adolescent T2DM; careful monitoring of these individuals is needed to prevent progression to T2DM.

Keyword

Obese adolescents; Type 2 diabetes mellitus; Single point insulin sensitivity estimator; Fatty liver

Figure

  • Fig. 1. The receiver operating characteristic curve for single point insulin sensitivity estimator in the diagnosis of type 2 diabetes mellitus, which corresponds to the area under the curve (95% confidence interval) of 0.665 (0.589–0.741).


Reference

References

1. Park JM, Yoo EG, Kim DH. Type 2 diabetes mellitus in children. J Korean Pediatr Soc. 2002; 45:646–53.
2. Lee J, Kim Y, Kwak M, Kim S, Kim H, Cheon C, et al. Incidence trends and associated factors of diabetes mellitus in Korean children and adolescents: a retrospective cohort study in Busan and Gyeongnam. Ann Pediatr Endocrinol Metab. 2015; 20:206–12.
3. Valeria C, Nella P, Cosimo G, Annalisa B, Francesco C. Insulin resistance and type 2 diabetes in children. Ann Pediatr Endocrinol Metab. 2020; 25:206–12.
4. Kurtolu S, Hatipolu N, Mazioglu M, Kendirci M, Keskin M, Kondolot M. Insulin resistance in obese children and adolescents: HOMA-IR Cut-off levels in the prepubertal and pubertal periods. J Clin Res Pediatr Endocrinol. 2010; 2:100–6.
5. Dudi P, Goyal B, Saxena V, Rabari K, Mirza AA, Naithani M, et al. Single point insulin sensitivity estimator as an index for insulin sensitivity for metabolic syndrome: a study in North Indian population. J Lab Physicians. 2019; 11:244–8.
6. Cederholma J, Zetheliusb B. SPISE and other fasting indexes of insulin resistance risks of coronary heart disease or type 2 diabetes. Comparative cross-sectional and longitudinal aspects. Ups J Med Sci. 2019; 124:265–72.
7. Sagesaka H, Sato Y, Someya Y, Tamura Y, Shimodaira M, Miyakoshi T, et al. Type 2 diabetes: When does it start. J Endocr Soc. 2018; 2:476–84.
8. Paulmichl K, Hatunic M, Højlund K, Jotic A, Krebs M, Mitrakou A, et al. Modification and validation of the Triglyceride-to–HDL cholesterol ratio as a surrogate of insulin sensitivity in White juveniles and adults without diabetes mellitus: the single point insulin sensitivity estimator (SPISE). Clin Chem. 2016; 62:1211–9.
9. American Diabetes Association. Classification and diagnosis of diabetes: standards of medical care in diabetes-2019. Diabetes Care. 2019; 42(Suppl 1):S13–28.
10. Danadian K, Jayasekara G, Lewy V, Meza MP, Robertson R, Arslanian SA. Insulin sensitivity in African American children with and without family history of type 2 diabetes. Diabetes Care. 1999; 22:1325–9.
11. Mahale AR, Prabhu SD, Nachiappan M, Fernandes M, Ullal S. Clinical relevance of reporting fatty liver on ultrasound in asymptomatic patients during routine health checkups. J Int Med Res. 2018; 46:4447–54.
12. Antonio VS, Carolina A, Helena F. Acanthosis nigricans as a clinical marker of insulin resistance among overweight adolescents. Ann Pediatr Endocrinol Metab. 2019; 24:99–103.
13. Kim J, Lee J. Role of obesity-induced inflammation in the development of insulin resistance and type 2 diabetes: history of the research and remaining questions. Ann Pediatr Endocrinol Metab. 2021; 26:1–13.
14. John M, Barbara CH. Does obesity cause type 2 diabetes mellitus (T2DM) or is it the opposite. Pediatr Diabetes. 2019; 20:5–9.
15. Ohlsson C, Bygdell M, Nethander M, Rosengren A, Kindblom JM. BMI change during puberty is an important determinant of adults type 2 diabetes risk in men. J Clin Endocrinol Metab. 2019; 104:1823–32.
16. Sabin MA, Magnussen CG, Juonala M, Shield JP, Kähönen M, Lehtimäki T, et al. Insulin and BMI as predictors of adult type 2 diabetes mellitus. Pediatrics. 2015; 135:e144–51.
17. Arslanian SA, Bacha F, Saad R, Gungor N. Family history of type 2 diabetes is associated with decreased insulin sensitivity and an impaired balance between insulin sensitivity and insulin secretion in White youth. Diabetes Care. 2005; 28:115–9.
18. Bardugo A, Bendor CD, Zucker I, Lutski M, Cukierman-Yaffe T, Derazne E, et al. Adolescent nonalcoholic fatty liver disease and type 2 diabetes in young adulthood. J Clin Endocrinol Metab. 2021; 106:e34–44.
19. Newton KP, Hou J, Crimmins NA, Lavine JE, Barlow SE, Xanthakos SA, et al. Prevalence of prediabetes and type 2 diabetes in children with nonalcoholic fatty liver disease. JAMA Pediatr. 2016; 170:e161971.
20. Hoffman RP, Vicini P, Cobelli C. Pubertal changes in HOMA and QUICKI: relationship to hepatic and peripheral insulin sensitivity. Pediatr Diabetes. 2004; 5:122–5.
21. Pisprasert V, Ingram KH, Lopez-Davila MF, Munoz AJ, Garvey WT. Limitations in the use of indices using glucose and insulin levels to predict insulin sensitivity. Diabetes Care. 2013; 36:845–53.
22. Lu Y, Wang Y, Zou L, Liang X, Ong CN, Tavintharan S, et al. Serum lipids in association with type 2 diabetes risk and prevalence in a Chinese population. J Clin Endocrinol Metab. 2018; 103:671–80.
23. Habiba NM, Fulda KG, Basha R, Shah D, Fernando S, Nguyen B, et al. Correlation of lipid profile and risk of developing type 2 diabetes Mellitus in 10-14 year old children. Cell Physiol Biochem. 2016; 39:1695–704.
24. Chen GY, Li L, Dai F, Li XJ, Xu XX, Fan JG. Prevalence of and risk factors for type 2 diabetes mellitus in hyperlipidemia in China. Med Sci Monit. 2015; 21:2476–84.
25. Correa-Burrows P, Blanco E, Gahagan S, Burrows R. Validity assessment of the singlepoint insulin sensitivity estimator (SPISE) for diagnosis of cardiometabolic risk in post pubertal Hispanic adolescents. Sci Rep. 2020; 10:14399.
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