Literature DB >> 19885181

Type 2 diabetes phenotype and progression is significantly different if diagnosed before versus after 65 years of age.

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Abstract

BACKGROUND: The incidence of type 2 diabetes is increasing disproportionately in individuals <65 years of age. It is not known whether disease characteristics in these younger patients are similar to "classic" late-onset type 2 diabetes.
METHODS: In the epidemiological cohort study entitled "Retrolective Study: Self-Monitoring of Blood Glucose and Outcome in Patients with Type 2 Diabetes," a total of 3268 patients from randomly contacted primary care practices were documented during a mean follow-up period of 6.5 years. All newly diagnosed patients of these practices were included.
RESULTS: At diagnosis, 64.2% of the patients were aged < or =65 years. Thereof, 57.2% were male, whereas in the age group >65 years only 35.0% were male (p < 0.001). The younger group exhibited more severe metabolic deterioration at diagnosis and in the following years than the older group. Conversely, the older group presented at diagnosis with a higher prevalence of cardiovascular risk factors. Self-monitoring of blood glucose (SMBG) was more prominent in the younger group. In both age groups, the use of SMBG was associated with a significantly lower risk (p = 0.003) of a combined end point (severe diabetic complication or all-cause mortality).
CONCLUSIONS: There are considerable differences in disease characteristics between people diagnosed with type 2 diabetes during 45-65 years of age versus diagnosis at a later age. Type 2 diabetes diagnosed before the age of 65 years disproportionately affected men and exhibited a more severe disease course, but was characterized by significantly less cardiovascular risk factors in comparison to type 2 diabetes diagnosed at a later age. The use of SMBG was associated with a better clinical outcome in both age groups.

Entities:  

Keywords:  diabetes therapy; diabetic complications; epidemiology; mortality; self-monitoring of blood glucose; type 2 diabetes

Year:  2008        PMID: 19885181      PMCID: PMC2769693          DOI: 10.1177/193229680800200112

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  18 in total

Review 1.  The global spread of type 2 diabetes mellitus in children and adolescents.

Authors:  Orit Pinhas-Hamiel; Philip Zeitler
Journal:  J Pediatr       Date:  2005-05       Impact factor: 4.406

2.  Point: Self-monitoring of blood glucose in type 2 diabetic patients not receiving insulin: the sanguine approach.

Authors:  Eli Ipp; Roxanne Lucas Aquino; Peter Christenson
Journal:  Diabetes Care       Date:  2005-06       Impact factor: 19.112

3.  Self-monitoring of blood glucose in type 2 diabetes and long-term outcome: an epidemiological cohort study.

Authors:  S Martin; B Schneider; L Heinemann; V Lodwig; H-J Kurth; H Kolb; W A Scherbaum
Journal:  Diabetologia       Date:  2005-12-17       Impact factor: 10.122

4.  Longitudinal study of new and prevalent use of self-monitoring of blood glucose.

Authors:  Andrew J Karter; Melissa M Parker; Howard H Moffet; Michele M Spence; James Chan; Susan L Ettner; Joe V Selby
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

5.  Is self-monitoring of blood glucose appropriate for all type 2 diabetic patients? The Fremantle Diabetes Study.

Authors:  Wendy A Davis; David G Bruce; Timothy M E Davis
Journal:  Diabetes Care       Date:  2006-08       Impact factor: 19.112

Review 6.  Gender disparity in outcomes of care and management for diabetes and the metabolic syndrome.

Authors:  Pantelis A Sarafidis; Samy I McFarlane; George L Bakris
Journal:  Curr Diab Rep       Date:  2006-06       Impact factor: 4.810

7.  The association of comorbid depression with mortality in patients with type 2 diabetes.

Authors:  Wayne J Katon; Carolyn Rutter; Greg Simon; Elizabeth H B Lin; Evette Ludman; Paul Ciechanowski; Leslie Kinder; Bessie Young; Michael Von Korff
Journal:  Diabetes Care       Date:  2005-11       Impact factor: 19.112

8.  Gender differences in risk factor control and treatment profile in diabetes: a study in 229 swedish primary health care centres.

Authors:  Peter M Nilsson; Holger Theobald; Gunilla Journath; Tomas Fritz
Journal:  Scand J Prim Health Care       Date:  2004-03       Impact factor: 2.581

9.  Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.

Authors:  Sarah Wild; Gojka Roglic; Anders Green; Richard Sicree; Hilary King
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

10.  Reduction in self-monitoring of blood glucose in persons with type 2 diabetes results in cost savings and no change in glycemic control.

Authors:  Joy L Meier; Arthur L M Swislocki; Julio R Lopez; Robert H Noth; Patricia Bartlebaugh; David Siegel
Journal:  Am J Manag Care       Date:  2002-06       Impact factor: 2.229

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  5 in total

1.  Comparing the disease profiles of adult patients with type 2 diabetes mellitus attending four public health care facilities in Malaysia.

Authors:  B H Chew; I Mastura; M A Bujang
Journal:  Malays Fam Physician       Date:  2013-12-31

2.  Immortal time bias does not invalidate the association of self-monitoring of blood glucose with better survival of patients with type 2 diabetes in the epidemiological study ROSSO (Retrolective Study: Self-monitoring of Blood Glucose and Outcome in Patients with Type 2 Diabetes).

Authors:  B Schneider; S Martin; W A Scherbaum; L Heinemann; V Lodwig; H Kolb
Journal:  Diabetologia       Date:  2010-11-20       Impact factor: 10.122

3.  Evidence of insulin resistance in adult uncomplicated malaria: result of a two-year prospective study.

Authors:  Samuel Acquah; Johnson Nyarko Boampong; Benjamin Ackon Eghan Jnr; Magdalena Eriksson
Journal:  Malar Res Treat       Date:  2014-12-23

4.  Predictive Analytics for Care and Management of Patients With Acute Diseases: Deep Learning-Based Method to Predict Crucial Complication Phenotypes.

Authors:  Jessica Qiuhua Sheng; Paul Jen-Hwa Hu; Xiao Liu; Ting-Shuo Huang; Yu Hsien Chen
Journal:  J Med Internet Res       Date:  2021-02-12       Impact factor: 5.428

5.  The impact of birthweight on subsequent phenotype of type 2 diabetes in later life.

Authors:  Christian Paulina; Louise A Donnelly; Ewan R Pearson
Journal:  Diabet Med       Date:  2022-01-22       Impact factor: 4.213

  5 in total

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