Skip to main content
Top
Published in: BMC Nephrology 1/2018

Open Access 01-12-2018 | Research article

Risk of chronic kidney disease in young adults with impaired glucose tolerance/impaired fasting glucose: a retrospective cohort study using electronic primary care records

Authors: Ferozkhan Jadhakhan, Tom Marshall, Ronan Ryan, Paramjit Gill

Published in: BMC Nephrology | Issue 1/2018

Login to get access

Abstract

Background

The risk of chronic kidney disease (CKD) is known to be elevated in patients with diabetes mellitus but the risk of young adults aged 18 to 40 years with impaired glucose tolerance/impaired fasting glucose (IGT/IFG) developing CKD is not well characterised. Furthermore, progression of IGT/IFG to diabetes and subsequent CKD development is not well understood.

Methods

A retrospective cohort study was undertaken using The Health Improvement Network (THIN) database, a large dataset of electronic patient records. THIN database is jointly managed by IMS Health Real World Evidence Solution (http://​www.​epic-uk.​org/​index.​html) and In Practice System (InPs). Cases were aged 18 to 40, with a diagnosis of IGT/IFG and registered at a practice contributing to THIN between 2000 and 2015. The study population consisted of 40,092 patients, including 21,454 (53.5%) female and 18,638 (46.5%) male. The median follow-up was approximately 2 years. The outcome was a diagnosis of CKD determined from either clinical coding or laboratory results. For the primary analysis the unadjusted and adjusted relative risk of CKD in IGT/IFG was compared to age, sex and practice matched controls with normoglycaemia. For the secondary analysis we compared the incidence of CKD before to after a diagnosis of type 2 diabetes (T2DM) in the IGT/IFG study cohort.

Results

The Incidence Rate Ratio (IRR) for CKD for IGT/IFG compared to normoglycaemia was 4.0 [95% confidence interval (CI), 3.2 to 5.1, P < 0.001]. The adjusted IRR was 2.6 [95% CI, 2.0 to 3.4, P < 0.001]. The unadjusted IRR was 8.8 [95% CI, 7.7 to 10.0, P < 0.001] after IGT/IFG patients had developed T2DM and the adjusted IRR was 6.3 [95% CI, 5.5 to 7.2, P < 0.001].

Conclusion

Our results show that young IGT/IFG subjects are also at higher risk of developing CKD. This risk is modulated by the degree of baseline renal function and glucose tolerance, being higher in those developing T2DM.
Appendix
Available only for authorised users
Literature
1.
go back to reference Stevens PE, Levin A. Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Ann Intern Med. 2013;158:825–30.CrossRefPubMed Stevens PE, Levin A. Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline. Ann Intern Med. 2013;158:825–30.CrossRefPubMed
4.
go back to reference Nathan DM, Davidson MB, DeFronzo RA, Heine RJ, Henry RR, Pratley R, et al. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabetes Care. 2007;30:753–9.CrossRefPubMed Nathan DM, Davidson MB, DeFronzo RA, Heine RJ, Henry RR, Pratley R, et al. Impaired fasting glucose and impaired glucose tolerance: implications for care. Diabetes Care. 2007;30:753–9.CrossRefPubMed
5.
go back to reference Keen H, Jarrett RJ, McCartney P. The ten-year follow-up of the Bedford survey (1962-1972): glucose tolerance and diabetes. Diabetologia. 1982;22:73–8.CrossRefPubMed Keen H, Jarrett RJ, McCartney P. The ten-year follow-up of the Bedford survey (1962-1972): glucose tolerance and diabetes. Diabetologia. 1982;22:73–8.CrossRefPubMed
6.
go back to reference Motala AA, Omar MA, Gouws E. High risk of progression to NIDDM in south-African Indians with impaired glucose tolerance. Diabelogia. 1993;42:556–63. Motala AA, Omar MA, Gouws E. High risk of progression to NIDDM in south-African Indians with impaired glucose tolerance. Diabelogia. 1993;42:556–63.
7.
go back to reference Fox CS, Larson MG, Leip EP, Meigs JB, Wilson PW, Levy D. Glycemic status and development of kidney disease: the Framingham heart study. Diabetes Care. 2005;28:2436–40.CrossRefPubMed Fox CS, Larson MG, Leip EP, Meigs JB, Wilson PW, Levy D. Glycemic status and development of kidney disease: the Framingham heart study. Diabetes Care. 2005;28:2436–40.CrossRefPubMed
8.
go back to reference Sun F, Tao Q, Zhan S. Metabolic syndrome and the development of chronic kidney disease among 118 924 non-diabetic Taiwanese in a retrospective cohort. Nephrology (Carlton). 2010;15:84–92.CrossRef Sun F, Tao Q, Zhan S. Metabolic syndrome and the development of chronic kidney disease among 118 924 non-diabetic Taiwanese in a retrospective cohort. Nephrology (Carlton). 2010;15:84–92.CrossRef
9.
go back to reference Watanabe H, Obata H, Watanabe T, Sasaki S, Nagai K, Aizawa Y. Metabolic syndrome and risk of development of chronic kidney disease: the Niigata preventive medicine study. Diabetes Metab Res Rev. 2010;26:26–32.CrossRefPubMed Watanabe H, Obata H, Watanabe T, Sasaki S, Nagai K, Aizawa Y. Metabolic syndrome and risk of development of chronic kidney disease: the Niigata preventive medicine study. Diabetes Metab Res Rev. 2010;26:26–32.CrossRefPubMed
11.
go back to reference UK Terminology Centre. Why migrate to SNOMED CT. London: NHS; 2011. Version 1.1 UK Terminology Centre. Why migrate to SNOMED CT. London: NHS; 2011. Version 1.1
13.
go back to reference Maguire A, Blak BT, Thompson M. The importance of defining periods of complete mortality reporting for research using automated data from primary care. Pharmacoepidemiol Drug Saf. 2009;18:76–83.CrossRefPubMed Maguire A, Blak BT, Thompson M. The importance of defining periods of complete mortality reporting for research using automated data from primary care. Pharmacoepidemiol Drug Saf. 2009;18:76–83.CrossRefPubMed
14.
go back to reference World Health Organisation. Guidelines Approved by the Review Committee. Use of Glycated Haemoglobin (HbA1c) in the Diagnosis of Diabetes Mellitus. Abbreviated Report of a WHO Consultation. Geneva: World Health Organisation; 2011. World Health Organisation. Guidelines Approved by the Review Committee. Use of Glycated Haemoglobin (HbA1c) in the Diagnosis of Diabetes Mellitus. Abbreviated Report of a WHO Consultation. Geneva: World Health Organisation; 2011.
18.
go back to reference Hippisley-Cox J, Coupland C. Predicting the risk of chronic kidney disease in men and women in England and Wales: prospective derivation and external validation of the QKidney scores. BMC Fam Pract. 2010;11:49.CrossRefPubMedPubMedCentral Hippisley-Cox J, Coupland C. Predicting the risk of chronic kidney disease in men and women in England and Wales: prospective derivation and external validation of the QKidney scores. BMC Fam Pract. 2010;11:49.CrossRefPubMedPubMedCentral
19.
go back to reference Gansevoort RT, Correa-Rotter R, Hemmelgarn BR, Jafar TH, Heerspink HJ, Mann JF, et al. Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet (Lond). 2013;382:339–52.CrossRef Gansevoort RT, Correa-Rotter R, Hemmelgarn BR, Jafar TH, Heerspink HJ, Mann JF, et al. Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet (Lond). 2013;382:339–52.CrossRef
20.
go back to reference Tozawa M, Iseki C, Tokashiki K, Chinen S, Kohagura K, Kinjo K, et al. Metabolic syndrome and risk of developing chronic kidney disease in Japanese adults. Hypertens Res. 2007;30:937–43.CrossRefPubMed Tozawa M, Iseki C, Tokashiki K, Chinen S, Kohagura K, Kinjo K, et al. Metabolic syndrome and risk of developing chronic kidney disease in Japanese adults. Hypertens Res. 2007;30:937–43.CrossRefPubMed
21.
go back to reference Yang T, Chu CH, Hsu CH, Hsieh PC, Chung TC, Bai CH, et al. Impact of metabolic syndrome on the incidence of chronic kidney disease: a Chinese cohort study. Nephrology (Carlton). 2012;17:532–8.CrossRef Yang T, Chu CH, Hsu CH, Hsieh PC, Chung TC, Bai CH, et al. Impact of metabolic syndrome on the incidence of chronic kidney disease: a Chinese cohort study. Nephrology (Carlton). 2012;17:532–8.CrossRef
22.
go back to reference De Cosmo S, Viazzi F, Pacilli A, Giorda A, Gentile S, Russo G, et al. Predictors of chronic kidney disease in type 2 diabetes. Medicine. 2016;27:e4007.CrossRef De Cosmo S, Viazzi F, Pacilli A, Giorda A, Gentile S, Russo G, et al. Predictors of chronic kidney disease in type 2 diabetes. Medicine. 2016;27:e4007.CrossRef
Metadata
Title
Risk of chronic kidney disease in young adults with impaired glucose tolerance/impaired fasting glucose: a retrospective cohort study using electronic primary care records
Authors
Ferozkhan Jadhakhan
Tom Marshall
Ronan Ryan
Paramjit Gill
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Nephrology / Issue 1/2018
Electronic ISSN: 1471-2369
DOI
https://doi.org/10.1186/s12882-018-0834-4

Other articles of this Issue 1/2018

BMC Nephrology 1/2018 Go to the issue