Literature DB >> 11903400

Population-based survey and analysis of trends in the prevalence of diabetic nephropathy in Type 1 diabetes.

J N Harvey1, K Rizvi, L Craney, J Messenger, R Shah, P A Meadows.   

Abstract

AIMS: To determine the prevalence of the various stages of diabetic nephropathy in Type 1 diabetes in a population-based survey. To make direct comparison with results from previous published studies to assess current trends.
METHODS: Identification of all Type 1 patients using a population-based diabetes register. Urine samples for albumin assay were obtained at clinic visit and by postal request. Prevalence rates were calculated specifically for direct comparisons with previously published surveys.
RESULTS: This study and European data from the 1990s show a clear reduction in the cumulative prevalence of microalbuminuria and established nephropathy compared with surveys from Copenhagen (1985), Pittsburgh (1986-8) and Boston (1992). In North Wales in 1999 the overall cumulative prevalence of microalbuminuria was 27.2% (95% confidence interval (CI) 24.3-30.1%) and established nephropathy was 9.6% (7.7-11.5%). Comparisons with data from EURODIAB and from Spain indicated similar results, although the prevalence of microalbuminuria was lower in North Wales than in the EURODIAB study. Significantly lower rates of nephropathy were seen in more recent Swedish cohorts. Diabetic nephropathy remains more common in males. Microalbuminuria before 10 years duration of diabetes was seen at all post-pubertal ages.
CONCLUSIONS: Rates of nephropathy in Europe in the 1990s are lower than a decade ago. Modern methods of management are therefore associated with demonstrable benefit at the population level. The lowest rates of nephropathy are associated with optimum glycaemic control in Swedish data, indicating the importance of metabolic in addition to haemodynamic factors.

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Year:  2001        PMID: 11903400     DOI: 10.1046/j.1464-5491.2001.00630.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  9 in total

1.  Diabetic nephropathy.

Authors:  J N Harvey
Journal:  BMJ       Date:  2002-07-13

2.  Declining incidence of severe retinopathy and persisting decrease of nephropathy in an unselected population of Type 1 diabetes-the Linköping Diabetes Complications Study.

Authors:  M Nordwall; M Bojestig; H J Arnqvist; J Ludvigsson
Journal:  Diabetologia       Date:  2004-07-02       Impact factor: 10.122

3.  Requisite models for strategic commissioning: the example of type 1 diabetes.

Authors:  Mara Airoldi; Gwyn Bevan; Alec Morton; Mónica Oliveira; Jenifer Smith
Journal:  Health Care Manag Sci       Date:  2008-06

Review 4.  Recent advances in diabetic nephropathy.

Authors:  S M Marshall
Journal:  Postgrad Med J       Date:  2004-11       Impact factor: 2.401

5.  Orosomucoid in urine is a powerful predictor of cardiovascular mortality in normoalbuminuric patients with type 2 diabetes at five years of follow-up.

Authors:  M S Christiansen; E Hommel; E Magid; B Feldt-Rasmussen
Journal:  Diabetologia       Date:  2005-01-11       Impact factor: 10.122

6.  Follow-up of kidney biopsies in normoalbuminuric patients with type 1 diabetes.

Authors:  Nina Elisabeth Staffansdotter Sohlman Perrin; Torun Birgitta Torbjörnsdotter; Georg Alexander Jaremko; Ulla Birgitta Berg
Journal:  Pediatr Nephrol       Date:  2004-06-23       Impact factor: 3.714

Review 7.  Diabetic nephropathy in children and adolescents.

Authors:  Radovan Bogdanović
Journal:  Pediatr Nephrol       Date:  2007-10-17       Impact factor: 3.714

8.  Risk of renal disease in patients with both type 1 diabetes and coeliac disease.

Authors:  Kaziwe Mollazadegan; Michael Fored; Sigrid Lundberg; Johnny Ludvigsson; Anders Ekbom; Scott M Montgomery; Jonas F Ludvigsson
Journal:  Diabetologia       Date:  2014-03-25       Impact factor: 10.122

9.  Prevalence of albuminuria and renal dysfunction, and related clinical factors in Japanese patients with diabetes: The Japan Diabetes Complication and its Prevention prospective study 5.

Authors:  Kenichi Shikata; Ryo Kodera; Kazunori Utsunomiya; Daisuke Koya; Rimei Nishimura; Satoshi Miyamoto; Naoko Tajima
Journal:  J Diabetes Investig       Date:  2019-09-25       Impact factor: 4.232

  9 in total

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