Derivation & validation of glycosylated haemoglobin (HbA1c) cut-off value as a diagnostic test for type 2 diabetes in south Indian population
Autor: | D Prabath Kumar, Mahesh V. Panchagnula, P Krishnaprasanthi, K.V.S. Sarma, S. Aparna Reddy, B Siddhartha Kumar, Alok Sachan, Pvln Srinivasa Rao, Alladi Mohan |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Adult
Blood Glucose Male medicine.medical_specialty glycosylated haemoglobin Cross-sectional study diagnosis Population Cut-off value lcsh:Medicine India 030209 endocrinology & metabolism Type 2 diabetes oral glucose tolerance test General Biochemistry Genetics and Molecular Biology 03 medical and health sciences 0302 clinical medicine Diabetes mellitus Internal medicine medicine Ethnicity Glycosylated haemoglobin fasting plasma glucose Humans 030212 general & internal medicine Derivation education Glycated Hemoglobin education.field_of_study Glucose tolerance test medicine.diagnostic_test business.industry lcsh:R General Medicine Gold standard (test) Glucose Tolerance Test Middle Aged medicine.disease Endocrinology Cross-Sectional Studies Diabetes Mellitus Type 2 Original Article Female type 2 diabetes business Cut-off value - diagnosis - fasting plasma glucose - glycosylated haemoglobin - oral glucose tolerance test - type 2 diabetes |
Zdroj: | The Indian Journal of Medical Research Indian Journal of Medical Research, Vol 144, Iss 2, Pp 220-228 (2016) |
ISSN: | 0971-5916 |
Popis: | Background & Objectives: Glycosylated haemoglobin (HbA 1c ) has been in use for more than a decade, as a diagnostic test for type 2 diabetes. Validity of HbA 1c needs to be established in the ethnic population in which it is intended to be used. The objective of this study was to derive and validate a HbA 1c cut-off value for the diagnosis of type 2 diabetes in the ethnic population of Rayalaseema area of south India. Methods: In this cross-sectional study, consecutive patients suspected to have type 2 diabetes underwent fasting plasma glucose (FPG) and 2 h post-load plasma glucose (2 h-PG) measurements after a 75 g glucose load and HbA 1c estimation. They were classified as having diabetes as per the American Diabetes Association criteria [(FPG ≥7 mmol/l (≥126 mg/dl) and/or 2 h-PG ≥11.1 mmol/l (≥200 mg/dl)]. In the training data set (n = 342), optimum cut-off value of HbA 1c for defining type 2 diabetes was derived by receiver-operator characteristic (ROC) curve method using oral glucose tolerance test results as gold standard. This cut-off was validated in a validation data set (n = 341). Results: On applying HbA 1c cut-off value of >6.3 per cent (45 mmol/mol) to the training data set,sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for diagnosing type 2 diabetes were calculated to be 90.6, 85.2, 80.8 and 93.0 per cent, respectively. When the same cut-off value was applied to the validation data set, sensitivity, specificity, PPV and NPV were 88.8 , 81.9, 74.0 and 92.7 per cent, respectively, although the latter were consistently smaller than the proportions for the training data set, the differences being not significant. Interpretation & conclusions: HbA 1c >6.3 per cent (45 mmol/mol) appears to be the optimal cut-off value for the diagnosis of type 2 diabetes applicable to the ethnic population of Rayalaseema area of Andhra Pradesh state in south India. |
Databáze: | OpenAIRE |
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