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      Random Capillary Blood Glucose Cut Points for Diabetes and Pre-Diabetes Derived From Community-Based Opportunistic Screening in India

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      , MD, , , MSC, PHD, , MD, DCH, MSC, FRCP, , MD, FRCP, PHD, DSC
      Diabetes Care
      American Diabetes Association

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          Abstract

          OBJECTIVE

          To determine random capillary blood glucose (RCBG) cut points that discriminate diabetic and pre-diabetic subjects from normal individuals.

          RESEARCH DESIGN AND METHODS

          RCBG was performed in 1,333 individuals randomly chosen from 63,305 individuals who had participated in an opportunistic screening program. An oral glucose tolerance test was also performed by venous plasma glucose on an autoanalyzer. RCBG cut points that discriminate diabetes, impaired glucose tolerance (IGT), and impaired fasting glucose (IFG) were determined using receiver operating characteristic curves.

          RESULTS

          Using 2-h plasma glucose ≥200 mg/dl (11.1 mmol/l) criterion, the RCBG cut point of 140 mg/dl (7.7 mmol/l) gave the highest sensitivity and specificity. For 2-h plasma glucose ≥200 mg/dl (11.1 mmol/l) and fasting plasma glucose (FPG) ≥126 mg/dl (7.0 mmol/l) criteria, either 2-h plasma glucose ≥200 mg/dl (11.1 mmol/l) or FPG ≥126 mg/dl (7.0 mmol/l) criterion, and the FPG ≥126 mg/dl (7.0 mmol/l) criterion, RCBG cut point was 143 mg/dl (7.9 mmol/l). RCBG cut points for IGT, IFG according to World Health Organization criterion, and IFG according to American Diabetes Association criterion were 119 mg/dl (6.6 mmol/l), 118 mg/dl (6.6 mmol/l), and 113 mg/dl (6.3 mmol/l), respectively.

          CONCLUSIONS

          Asian Indians with RCBG >110 mg/dl at screening can be recommended to undergo definitive testing.

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          Most cited references14

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          The meaning and use of the area under a receiver operating characteristic (ROC) curve.

          A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.
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            Onset of NIDDM occurs at least 4-7 yr before clinical diagnosis.

            To investigate duration of the period between diabetes onset and its clinical diagnosis. Two population-based groups of white patients with non-insulin-dependent diabetes (NIDDM) in the United States and Australia were studied. Prevalence of retinopathy and duration of diabetes subsequent to clinical diagnosis were determined for all subjects. Weighted linear regression was used to examine the relationship between diabetes duration and prevalence of retinopathy. Prevalence of retinopathy at clinical diagnosis of diabetes was estimated to be 20.8% in the U.S. and 9.9% in Australia and increased linearly with longer duration of diabetes. By extrapolating this linear relationship to the time when retinopathy prevalence was estimated to be zero, onset of detectable retinopathy was calculated to have occurred approximately 4-7 yr before diagnosis of NIDDM. Because other data indicate that diabetes may be present for 5 yr before retinopathy becomes evident, onset of NIDDM may occur 9-12 yr before its clinical diagnosis. These findings suggest that undiagnosed NIDDM is not a benign condition. Clinically significant morbidity is present at diagnosis and for years before diagnosis. During this preclinical period, treatment is not being offered for diabetes or its specific complications, despite the fact that reduction in hyperglycemia, hypertension, and cardiovascular risk factors is believed to benefit patients. Imprecise dating of diabetes onset also obscures investigations of the etiology of NIDDM and studies of the nature and importance of risk factors for diabetes complications.
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              Secular trends in the prevalence of diabetes and impaired glucose tolerance in urban South India--the Chennai Urban Rural Epidemiology Study (CURES-17).

              The aim of this study was to determine the secular trends in prevalence of diabetes and IGT in urban India. The Chennai Urban Rural Epidemiology Study (CURES) screened 26,001 individuals aged > or =20 years using the American Diabetes Association fasting capillary glucose criteria. The study population, which was representative of Chennai, was recruited by systematic random sampling. Every tenth subject from Phase 1 of CURES was invited to participate in Phase 3 for screening by World Health Organization (WHO) plasma glucose criteria. The response rate was 90.4% (2,350 responders from 2,600 potential subjects). The prevalences of diabetes and IGT in CURES were compared with three earlier studies: two conducted on a representative population of Chennai in 1989 and 1995, and the other the National Urban Diabetes Survey (NUDS) completed in 2000. The overall crude prevalence of diabetes using WHO criteria in CURES was 15.5% (age-standardised 14.3%), while that of IGT was 10.6% (age-standardised 10.2%). Prevalence of diabetes increased by 39.8% (8.3-11.6%) from 1989 to 1995; by 16.3% (11.6-13.5%) between 1995 and 2000; and by 6.0% (13.5-14.3%) between 2000 and 2004. Thus within a span of 14 years, the prevalence of diabetes increased by 72.3% (chi (2) trend 22.23, p < 0.0001). The prevalence of IGT increased by 9.6% from 1989 to 1995 and by 84.6% between 1995 and 2000 (chi 2 trend 52.9, p < 0.0001). However, it decreased by 39.3% between 2000 and 2004 (p < 0.0001). There was a shift in the age at diagnosis of diabetes to a younger age in CURES compared with NUDS. Compared with earlier studies, the prevalence of diabetes in Chennai, representing urban India, has increased while that of IGT has decreased.
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                Author and article information

                Journal
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                April 2009
                10 December 2008
                : 32
                : 4
                : 641-643
                Affiliations
                [1]Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, World Health Organization Collaborating Centre for Noncommunicable Diseases Prevention and Control, Chennai, India.
                Author notes
                Corresponding author: Viswanathan Mohan, drmohans@ 123456vsnl.net .
                Article
                0403
                10.2337/dc08-0403
                2660445
                19073758
                67342964-a0ca-4b65-9063-8a6802f7396d
                © 2009 by the American Diabetes Association.

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.

                History
                : 26 February 2008
                : 28 November 2008
                Categories
                Original Research
                Epidemiology/Health Services Research

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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