Literature DB >> 23289766

Home urine C-peptide creatinine ratio (UCPCR) testing can identify type 2 and MODY in pediatric diabetes.

Rachel E J Besser1, Beverley M Shields, Suzanne E Hammersley, Kevin Colclough, Timothy J McDonald, Zoe Gray, James J N Heywood, Timothy G Barrett, Andrew T Hattersley.   

Abstract

BACKGROUND: Making the correct diabetes diagnosis in children is crucial for lifelong management. Type 2 diabetes and maturity onset diabetes of the young (MODY) are seen in the pediatric setting, and can be difficult to discriminate from type 1 diabetes. Postprandial urinary C-peptide creatinine ratio (UCPCR) is a non-invasive measure of endogenous insulin secretion that has not been tested as a diagnostic tool in children or in patients with diabetes duration <5 yr. We aimed to assess whether UCPCR can discriminate type 1 diabetes from MODY and type 2 in pediatric diabetes.
METHODS: Two-hour postprandial UCPCR was measured in 264 patients aged <21 yr (type 1, n = 160; type 2, n = 41; and MODY, n = 63). Receiver operating characteristic curves were used to identify the optimal UCPCR cutoff for discriminating diabetes subtypes.
RESULTS: UCPCR was lower in type 1 diabetes [0.05 (<0.03-0.39) nmol/mmol median (interquartile range)] than in type 2 diabetes [4.01 (2.84-5.74) nmol/mmol, p < 0.0001] and MODY [3.51 (2.37-5.32) nmol/mmol, p < 0.0001]. UCPCR was similar in type 2 diabetes and MODY (p = 0.25), so patients were combined for subsequent analyses. After 2-yr duration, UCPCR ≥ 0.7 nmol/mmol has 100% sensitivity [95% confidence interval (CI): 92-100] and 97% specificity (95% CI: 91-99) for identifying non-type 1 (MODY + type 2 diabetes) from type 1 diabetes [area under the curve (AUC) 0.997]. UCPCR was poor at discriminating MODY from type 2 diabetes (AUC 0.57).
CONCLUSIONS: UCPCR testing can be used in diabetes duration greater than 2 yr to identify pediatric patients with non-type 1 diabetes. UCPCR testing is a practical non-invasive method for use in the pediatric outpatient setting.
© 2013 John Wiley & Sons A/S.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23289766     DOI: 10.1111/pedi.12008

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  17 in total

1.  The Impact of Biomarker Screening and Cascade Genetic Testing on the Cost-Effectiveness of MODY Genetic Testing.

Authors:  Matthew S GoodSmith; M Reza Skandari; Elbert S Huang; Rochelle N Naylor
Journal:  Diabetes Care       Date:  2019-09-26       Impact factor: 19.112

2.  Clinical utility gene card for: Maturity-onset diabetes of the young.

Authors:  Kevin Colclough; Cécile Saint-Martin; José Timsit; Sian Ellard; Christine Bellanné-Chantelot
Journal:  Eur J Hum Genet       Date:  2014-02-12       Impact factor: 4.246

3.  Urinary C-peptide creatinine ratio to differentiate type 2 diabetes mellitus from type 1 in pediatric patients.

Authors:  Wafaa Elzahar; Ahmed Arafa; Amira Youssef; Adel Erfan; Doaa El Amrousy
Journal:  Eur J Pediatr       Date:  2020-02-13       Impact factor: 3.183

4.  Targeted next-generation sequencing reveals MODY in up to 6.5% of antibody-negative diabetes cases listed in the Norwegian Childhood Diabetes Registry.

Authors:  Bente B Johansson; Henrik U Irgens; Janne Molnes; Paweł Sztromwasser; Ingvild Aukrust; Petur B Juliusson; Oddmund Søvik; Shawn Levy; Torild Skrivarhaug; Geir Joner; Anders Molven; Stefan Johansson; Pål R Njølstad
Journal:  Diabetologia       Date:  2016-12-02       Impact factor: 10.122

5.  Population-Based Assessment of a Biomarker-Based Screening Pathway to Aid Diagnosis of Monogenic Diabetes in Young-Onset Patients.

Authors:  Beverley M Shields; Maggie Shepherd; Michelle Hudson; Timothy J McDonald; Kevin Colclough; Jaime Peters; Bridget Knight; Chris Hyde; Sian Ellard; Ewan R Pearson; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2017-08       Impact factor: 19.112

Review 6.  Pediatric Type 2 Diabetes: Not a Mini Version of Adult Type 2 Diabetes.

Authors:  Talia Alyssa Savic Hitt; Lorraine E Levitt Katz
Journal:  Endocrinol Metab Clin North Am       Date:  2020-10-14       Impact factor: 4.741

7.  Systematic Population Screening, Using Biomarkers and Genetic Testing, Identifies 2.5% of the U.K. Pediatric Diabetes Population With Monogenic Diabetes.

Authors:  Maggie Shepherd; Beverley Shields; Suzanne Hammersley; Michelle Hudson; Timothy J McDonald; Kevin Colclough; Richard A Oram; Bridget Knight; Christopher Hyde; Julian Cox; Katherine Mallam; Christopher Moudiotis; Rebecca Smith; Barbara Fraser; Simon Robertson; Stephen Greene; Sian Ellard; Ewan R Pearson; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2016-06-06       Impact factor: 19.112

8.  Monogenic diabetes: a diagnostic algorithm for clinicians.

Authors:  Richard W Carroll; Rinki Murphy
Journal:  Genes (Basel)       Date:  2013-09-26       Impact factor: 4.096

9.  Genetics of multifactorial disorders: proceedings of the 6th Pan Arab Human Genetics Conference.

Authors:  Pratibha Nair; Sami Bizzari; Nirmal Rajah; Nada Assaf; Mahmoud Taleb Al-Ali; Abdul Rezzak Hamzeh
Journal:  J Transl Med       Date:  2016-04-20       Impact factor: 5.531

10.  A Type 1 Diabetes Genetic Risk Score Can Aid Discrimination Between Type 1 and Type 2 Diabetes in Young Adults.

Authors:  Richard A Oram; Kashyap Patel; Anita Hill; Beverley Shields; Timothy J McDonald; Angus Jones; Andrew T Hattersley; Michael N Weedon
Journal:  Diabetes Care       Date:  2015-11-17       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.