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Prevalence of nephropathy in Indian children and youth with type 1 diabetes mellitus

  • Madhura Karguppikar , Chirantap Oza , Nikhil Shah , Vaman Khadilkar , Ketan Gondhalekar and Anuradha Khadilkar EMAIL logo
Published/Copyright: March 21, 2022

Abstract

Objectives

Children with type 1 diabetes (T1D) having diabetic nephropathy (DN) are at increased risk of developing end stage renal disease. The present study aimed to determine the prevalence of DN and its predictors in Indian children and youth with T1D.

Methods

This cross-sectional study included 319 children and youth (2.6–21 years) with T1D having disease duration of at least 2 years. Demographic data and laboratory findings were obtained using standard questionnaires and protocols. Diagnosis of diabetic nephropathy was based on albuminuria on two occasions within a period of 3 months.

Results

The prevalence of DN in our study subjects was 13.4%. 7.5% subjects were known cases of diabetic nephropathy on treatment with enalapril. Hypertension was found in 14.3% subjects with DN in contrast to 4.1% without DN (p<0.05). Duration of diabetes and estimated glucose disposal rate were the important predictors of DN. Interestingly, of the 43 children with DN, 11.3% (n=8) were under 10 years age.

Conclusions

We found a high prevalence of DN in children and youth with T1D including in children under the age of 10 years. Early screening and timely intervention are required to retard the disease progression and avoid end stage renal disease.


Corresponding author: Anuradha Khadilkar, Growth and Endocrine Unit, Hirabai Cowasji Jehangir Medical Research Institute, Jehangir Hospital, Pune, Maharashtra 411001, India; and Interdisciplinary School of Health Sciences, Savitribai Phule University, Pune, India, E-mail:

  1. Research funding: None declared.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The local Institutional Review Board has approved the study. (Ethical committee, Jehangir Clinical Development Center Pvt Ltd.).

  6. Compliance with ethical standards: Yes.

References

1. Whiting, DR, Guariguata, L, Weil, C, Shaw, J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract 2011;94:311–21. https://doi.org/10.1016/j.diabres.2011.10.029.Search in Google Scholar

2. Amos, AF, McCarty, DJ, Zimmet, P. The rising global burden of diabetes and its complications: estimates and projections to the Year 2010. Diabet Med 1997;14(5 Suppl):S7–85. https://doi.org/10.1002/(sici)1096-9136(199712)14:5+<s7::aid-dia522>3.0.co;2-r.10.1002/(SICI)1096-9136(199712)14:5+<S7::AID-DIA522>3.3.CO;2-ISearch in Google Scholar

3. Codner, E, Acerini, CL, Craig, ME, Hofer, SE, Maahs, DM, Wales, K, et al.. ISPAD clinical practice consensus guidelines 2018. JAMA 2014;311:1778–86.Search in Google Scholar

4. Chiang, JL, Kirkman, MS, Laffel, LM, Peters, AL. Type 1 diabetes through the life span: a position statement of the American Diabetes Association. Diabetes Care 2014;37:2034–54. https://doi.org/10.2337/dc14-1140.Search in Google Scholar

5. Finne, P, Reunanen, A, Stenman, S, Groop, PH, Grönhagen-Riska, C. Incidence of end-stage renal disease in patients with type 1 diabetes. JAMA 2005;294:1782–7. https://doi.org/10.1001/jama.294.14.1782.Search in Google Scholar

6. Orchard, TJ, Secrest, AM, Miller, RG, Costacou, T. In the absence of renal disease, 20 year mortality risk in T1D is comparable to that of the general population: a report from the Pittsburgh epidemiology of diabetes complications study. Diabetologia 2010;53:2312–9.10.1007/s00125-010-1860-3Search in Google Scholar

7. Marshall, WA, Tanner, JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child 1970;45:13–23. https://doi.org/10.1136/adc.45.239.13.Search in Google Scholar

8. Marshall, WA, Tanner, JM. Variations in pattern of pubertal changes in girls. Arch Dis Child 1969;44:291. https://doi.org/10.1136/adc.44.235.291.Search in Google Scholar

9. Raj, M, Sundaram, KR, Paul, M, Kumar, RK. Blood pressure distribution in Indian children. Indian Pediatr 2010;47:477–85. https://doi.org/10.1007/s13312-010-0089-z.Search in Google Scholar

10. Flynn, JT, Bonita, E. Falkner new clinical practice guideline for the management of high blood pressure in children and adolescents. Hypertension 2017;70:683–6. https://doi.org/10.1161/hypertensionaha.117.10050.Search in Google Scholar

11. Khadilkar, VV, Khadilkar, AV. Revised Indian Academy of Pediatrics 2015 growth charts for height, weight and body mass index for 5-18-year-old Indian children. Indian J Endocrinol Metab 2015;19:470–6. https://doi.org/10.4103/2230-8210.159028.Search in Google Scholar

12. Khadilkar, VV, Khadilkar, AV, Borade, AB, Chiplonkar, SA. Body mass index cut-offs for screening for childhood overweight and obesity in Indian children. Indian Pediatr 2012;49:29–34. https://doi.org/10.1007/s13312-012-0011-y.Search in Google Scholar PubMed

13. https://www.who.int/ncds/surveillance/steps/Section%204%20Step%202%20Physical%20Measurements.pdf.Search in Google Scholar

14. Warnick, GR, Knopp, RH, Fitzpatrick, V, Branson, L. Estimating low-density lipoprotein cholesterol by the Friedewald equation is adequate for classifying patients on the basis of nationally recommended cutpoints. Clin Chem 1990;36:15–9. https://doi.org/10.1093/clinchem/36.1.15.Search in Google Scholar

15. Chiang, JL, Maahs, DM, Garvey, KC, Hood, KK, Laffel, LM, Weinzimer, SA, et al.. Type 1 diabetes in children and adolescents: a position statement by the American Diabetes Association. Diabetes Care 2018;41:2026–44. https://doi.org/10.2337/dci18-0023.Search in Google Scholar PubMed PubMed Central

16. Donaghue, KC, Marcovecchio, ML, Wadwa, RP, Chew, EY, Wong, TY, Calliari, LE, et al.. ISPAD clinical practice consensus guidelines 2018: microvascular and macrovascular complications in children and adolescents. Pediatr Diabetes 2018;19(27 Suppl):262. https://doi.org/10.1111/pedi.12742.Search in Google Scholar PubMed PubMed Central

17. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents; National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics 2011;128:213–56. https://doi.org/10.1542/peds.2009-2107C.Search in Google Scholar PubMed PubMed Central

18. Kilpatrick, ES, Rigby, AS, Atkin, SL. Insulin resistance, the metabolic syndrome, and complication risk in T1D: “double diabetes” in the Diabetes Control and Complications Trial. Diabetes Care 2007;30:707–12. https://doi.org/10.2337/dc06-1982.Search in Google Scholar PubMed

19. Williams, KV, Erbey, JR, Becker, D, Arslanian, S, Orchard, TJ. Can clinical factors estimate insulin resistance in T1D? Diabetes 2000;49:626–32. https://doi.org/10.2337/diabetes.49.4.626.Search in Google Scholar PubMed

20. Hoste, L, Dubourg, L, Selistre, L, De Souza, VC, Ranchin, B, Hadj-Aïssa, A, et al.. A new equation to estimate the glomerular filtration rate in children, adolescents and young adults. Nephrol Dial Transplant 2014;29:1082–91. https://doi.org/10.1093/ndt/gft277.Search in Google Scholar PubMed

21. Chiplonkar, S, Kajale, N, Ekbote, V, Mandlik, R, Parthasarathy, L, Borade, A, et al.. Reference centile curves for body fat percentage, fat-free mass, muscle mass and bone mass measured by bioelectrical impedance in Asian Indian children and adolescents. Indian Pediatr 2017;54:1005–11. https://doi.org/10.1007/s13312-017-1201-4.Search in Google Scholar PubMed

22. https://www.niddk.nih.gov/health-information/professionals/clinical-tools-patient-management/kidney-disease/laboratory-evaluation/glomerular-filtration-rate/estimating.Search in Google Scholar

23. Li, L, Jick, S, Breitenstein, S, Michel, A. Prevalence of diabetes and diabetic nephropathy in a large US commercially insured pediatric population, 2002–2013. Diabetes Care 2016;39:278–84. https://doi.org/10.2337/dc15-1710.Search in Google Scholar PubMed

24. Holl, RW, Grabert, M, Thon, A, Heinze, E. Urinary excretion of albumin in adolescents with type 1 diabetes: persistent versus intermittent microalbuminuria and relationship to duration of diabetes, sex, and metabolic control. Diabetes Care 1999;22:1555–60. https://doi.org/10.2337/diacare.22.9.1555.Search in Google Scholar

25. Raile, K, Galler, A, Hofer, S, Herbst, A, Dunstheimer, D, Busch, P, et al.. Diabetic nephropathy in 27,805 children, adolescents, and adults with type 1 diabetes: effect of diabetes duration, A1C, hypertension, dyslipidemia, diabetes onset, and sex. Diabetes Care 2007;30:2523–8. https://doi.org/10.2337/dc07-0282.Search in Google Scholar

26. Huang, CY, Ting, WH, Lo, FS, Tsai, JD, Sun, FJ, Chan, CI, et al.. Factors associated with diabetic nephropathy in children, adolescents, and adults with type 1 diabetes. J Formos Med Assoc 2017;116:924–32. https://doi.org/10.1016/j.jfma.2017.09.015.Search in Google Scholar

27. Tebbe, U, Bramlage, P, Thoenes, M, Paar, WD, Danchin, N, Volpe, M, et al.. Prevalence of microalbuminuria and its associated cardiovascular risk: German and Swiss results of the recent global i-SEARCH survey. Swiss Med Wkly 2009;139:473–80. https://doi.org/10.5167/uzh-26198.Search in Google Scholar

28. Shen, Y, Cai, R, Sun, J, Dong, X, Huang, R, Tian, S, et al.. Diabetes mellitus as a risk factor for incident chronic kidney disease and end-stage renal disease in women compared with men: a systematic review and meta-analysis. Endocrine 2017;55:66–76. https://doi.org/10.1007/s12020-016-1014-6.Search in Google Scholar

29. Ramachandran, A, Snehalatha, C, Sasikala, R, Satyavani, K, Vijay, V. Vascular complications in young Asian Indian patients with type 1 diabetes mellitus. Diabetes Res Clin Pract 2000;48:51–6. https://doi.org/10.1016/s0168-8227(99)00134-5.Search in Google Scholar

30. Billow, A, Anjana, RM, Ngai, M, Amutha, A, Pradeepa, R, Jebarani, S, et al.. Prevalence and clinical profile of metabolic syndrome among type 1 diabetes mellitus patients in southern India. J Diabetes Complicat 2015;29:659–64. https://doi.org/10.1016/j.jdiacomp.2015.03.014.Search in Google Scholar PubMed

31. Jafar, TH, Chaturvedi, N, Hatcher, J, Khan, I, Rabbani, A, Khan, AQ, et al.. Proteinuria in South Asian children: prevalence and determinants. Pediatr Nephrol 2005;20:1458–65. https://doi.org/10.1007/s00467-005-1923-8.Search in Google Scholar PubMed

32. Fenton, A, Montgomery, E, Nightingale, P, Peters, AM, Sheerin, N, Wroe, AC, et al.. Glomerular filtration rate: new age-and gender-specific reference ranges and thresholds for living kidney donation. BMC Nephrol 2018;19:1–8. https://doi.org/10.1186/s12882-018-1126-8.Search in Google Scholar PubMed PubMed Central

33. SEARCH Study Group. SEARCH for Diabetes in Youth: a multicenter study of the prevalence, incidence and classification of diabetes mellitus in youth. Contr Clin Trials 2004;25:458–71. https://doi.org/10.1016/j.cct.2004.08.002.Search in Google Scholar PubMed

34. Maahs, DM, Snively, BM, Bell, RA, Dolan, L, Hirsch, I, Imperatore, G, et al.. Higher prevalence of elevated albumin excretion in youth with type 2 than T1D: the SEARCH for diabetes in youth study. Diabetes Care 2007;30:2593e8. https://doi.org/10.2337/dc07-0450.Search in Google Scholar PubMed

35. Stone, ML, Craig, ME, Chan, AK, Lee, JW, Verge, CF, Donaghue, KC. Natural history and risk factors for microalbuminuria in adolescents with T1D: a longitudinal study. Diabetes Care 2006;29:2072e7. https://doi.org/10.2337/dc06-0239.Search in Google Scholar PubMed

36. American Diabetes Association. 9. Cardiovascular disease and risk management. Diabetes Care 2017;40:S75e87.10.2337/dc17-S012Search in Google Scholar PubMed

37. Dost, A, Klinkert, C, Kapellen, T, Lemmer, A, Naeke, A, Grabert, M, et al.. Arterial hypertension determined by ambulatory blood pressure profiles: contribution to microalbuminuria risk in a multicenter investigation in 2,105 children and adolescents with type 1 diabetes. Diabetes Care 2008;31:720–5. https://doi.org/10.2337/dc07-0824.Search in Google Scholar PubMed

38. Booth, M, Wake, M, Armstrong, T. The epidemiology of overweight and obesity among Australian children and adolescents, 1995–1997. Aust N Z J Publ Health 2001;25:162–9. Ogden C, Flegal K, Carroll M, Johnson C. Prevalence and trends in overweight among children and adolescents, 1999–2000. JAMA 2002;288:1728–32. https://doi.org/10.1111/j.1753-6405.2001.tb01840.x.Search in Google Scholar PubMed

39. Lidman, I, Pietropaolo, M, Arslanian, S, La Porte, R, Becker, D. Changing prevalence of overweight children and adolescents at onset of insulin treated diabetes. Diabetes Care 2003;26:2871–5.10.2337/diacare.26.10.2871Search in Google Scholar PubMed

40. Yki-Jarvinen, H, Koivisto, V. Natural course of insulin resistance in T1D. N Engl J Med. 1986; 315:224–9.10.1056/NEJM198607243150404Search in Google Scholar PubMed

41. Kim, JK. Hyperinsulinemic–euglycemic clamp to assess insulin sensitivity in vivo. In: Type 2 diabetes. Totowa, NJ: Humana Press; 2009:221–38 pp.10.1007/978-1-59745-448-3_15Search in Google Scholar PubMed

42. Conwell, LS, Trost, SG, Brown, WJ, Batch, JA. Indexes of insulin resistance and secretion in obese children and adolescents: a validation study. Diabetes Care 2004;27:314–9. https://doi.org/10.2337/diacare.27.2.314.Search in Google Scholar PubMed

43. Atance, EP, Herrera, MJ, Muiña, PG, Cano, RR, Martín, AL, Muiña, JG. Estimated glucose disposal rate in patients under 18 years of age with type 1 diabetes mellitus and overweight or obesity. Endocrinol Nutr 2013;60:379–85. https://doi.org/10.1016/j.endoen.2013.02.003.Search in Google Scholar

44. Grant, P. Management of diabetes in resource-poor settings. Clin Med 2013;13:27. https://doi.org/10.7861/clinmedicine.13-1-27.Search in Google Scholar PubMed PubMed Central

Received: 2021-10-19
Accepted: 2022-02-19
Published Online: 2022-03-21
Published in Print: 2022-05-25

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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