Literature DB >> 2196343

Cluster analysis of an insulin-dependent diabetic cohort towards the definition of clinical subtypes.

A Ciampi1, A Schiffrin, J Thiffault, H Quintal, G Weitzner, P Poussier, D Lalla.   

Abstract

Clinical and biochemical data on 111 consecutive insulin-dependent diabetic children enrolled in a longitudinal prospective study were analyzed to determine if more than one clinical expression of Type I diabetes exists. Use of multivariate statistical methods, including Correspondence Analysis, kappa-means clustering and RECPAM (RECursive Partition and AMalgamation), show that there are two well differentiated clinical expressions of IDDM each characterized by a cluster. One is characterized by later age, less severe onset, longer symptom duration, less beta-cell disappearance after 12 months, more females; the other by earlier age, more sudden and severe onset, DR 3/4, earlier disappearance of beta-cell function and more males. RECPAM analysis provides further insight into the structure of the two clusters. An other RECPAM tree identifies low, medium and high risk groups of disappearance of beta-cell function at 12 months after diagnosis.

Entities:  

Mesh:

Year:  1990        PMID: 2196343     DOI: 10.1016/0895-4356(90)90041-m

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  4 in total

1.  Metabolic Clusters and Outcomes in Older Adults: The Cardiovascular Health Study.

Authors:  Kenneth J Mukamal; David S Siscovick; Ian H de Boer; Joachim H Ix; Jorge R Kizer; Luc Djoussé; Annette L Fitzpatrick; Russell P Tracy; Edward J Boyko; Steven E Kahn; Alice M Arnold
Journal:  J Am Geriatr Soc       Date:  2018-02       Impact factor: 5.562

2.  A mathematical model for pattern of change in beta-cell reserve and factors affecting residual reserve within the first 2 years of type 1 diabetes.

Authors:  Y Altuntas
Journal:  J Endocrinol Invest       Date:  2002-12       Impact factor: 4.256

3.  Exploratory data analysis of hyperlipidemia on the Macintosh: software tools for analysis of biochemical, clinical, and genetic variables in 1677 consecutive lipid clinic patients.

Authors:  V Bhushan; M J Malloy; M M Engler; M B Engler; D Drown; J P Kane
Journal:  J Med Syst       Date:  1993-08       Impact factor: 4.460

4.  Correspondence analysis is a useful tool to uncover the relationships among categorical variables.

Authors:  Nadia Sourial; Christina Wolfson; Bin Zhu; Jacqueline Quail; John Fletcher; Sathya Karunananthan; Karen Bandeen-Roche; François Béland; Howard Bergman
Journal:  J Clin Epidemiol       Date:  2009-11-06       Impact factor: 6.437

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.