Relationship between HbA1C to 2hour post glucose load as a Screening Tool for Type 2 Diabetes Mellitus By 1. Adamu AN*. MWACP, FMCP 2. Ohwovoriole AE†. FWACP, FMCP 3. Fasanmade OA†. FWACP 4. Olarinoye JK*. FWACP 5. Ekpebegh CO† MWACP, FMCP Name of the Institutions- *Department of Medicine, University of Ilorin, Nigeria. †Department of Medicine, University of Lagos, Nigeria. Name of Department and Institution to which the work should be attributed- Department of Medicine, University of Ilorin, Nigeria. Disclaimer- None Contact information for corresponding authorsName- Abdullahi Ndaman Adamu Department of Medicine, University of Ilorin. PMB 1515, Ilorin 24001. Nigeria. Phone- +2347058024401, +2348023435240 E-mail- abdullahiadamu2003@yahoo.com Name and address of author to who request for reprint should be made- same as above. Source of support – None Word countNumber of Tables= 2. Figures= 2 1 Conflict of Interest Notification There is no conflict of interest of whatever form in conception to final execution of this article. 2 ABSTRACT. Background- There is paucity of existing studies on use of HbA1c as a screening tool for type 2 diabetes among blacks. Objective- to evaluate the performance of HbA1c as a screening tool for type 2 diabetes among black people with systemic hypertension. Methodology- Two-hundred and seven subjects attending the out-patient department of Lagos University Teaching Hospital were recruited, out of which 131 of the subjects had OGTT done, 2hour post glucose load plasma glucose assay was used as a gold standard for the diagnosis . Using systemic sampling of one out of every four, thirty three of the subjects had HbA1c assayed. Two of the assay revealed error report and were thus excluded from the analysis. The data was analysed using SPSS 11. Glycated haemoglobin of <6.1% was considered to be negative while glycated haemoglobin of ≥6.1 was considered to be positive for the screening. Two hour plasma glucose of <11.1mmol/l(200mg/dl) was considered to be negative while ≥11.1mmol/l(200mg/dl) was considered to be positive for the diagnostic test. A 2x2 table was made to calculate specificity, sensitivity, positive predictive value, negative predictive value, efficiency of the test and prevalence of the disease using HbA1c. Pearson correlation, bivariate and Receiver Operative Characteristic Curve was also plotted. Results- The mean age of the subjects that had HbA1c assay was 54.26±6.6years. The subjects were made up of 25(80.6%) females and 6(18.4%) males. Mean HbA1Cwas 6.6% and mean 2hour plasma glucose was 169.47mg/dl. The sensitivity was 57.14%, specificity of 62.5%, positive predictive value of 30.77%, negative predictive value of 83.33%, efficiency 61.29, prevalence of 41.94. The correlation of HbA1c to 2hrs post glucose load was 0.73, y= 158+ 52x, P = 0.00.The area under ROC was 0.682 which was significant. Conclusion- The performance of this screening test is low compare to the results of other studies among the Caucasians. Key words- Screening- type 2 diabetes- HbA1c, 2 hour plasma glucose. 3 Introduction There is an increasing incentive, both from a public health and a clinical perspective, to detect people at risk of future type 2 diabetes as it is a strong risk factor for cardiovascular disease (1). Screening people with undiagnosed Type 2 diabetes is important for public health policy and everyday clinical practice. Because of the rapidly increasing prevalence of Type 2 diabetes (2, 3), screening individuals at high risk of having undiagnosed diabetes is recommended in several countries (4,5). Measurement of glucose and highly correlated metabolites (e g HbA1c) has been used extensively for diabetes screening (6, 7). Review of performance of various screening methods for detecting undiagnosed type 2 diabetes shows that biochemical tests do better (8). Kunkel and Wallenius in 1955 were the first to demonstrate non-enzymatic glycation of haemoglobin to glucose, thus find elevated glycohaemoglobin in people with diabetes (9). Glycated haemoglobin is formed by the non-enzymatic reaction between carbohydrate and normal adult haemoglobin (HbAO) to form a number of glycated products, called HbA1 (10). Improved techniques have separated HbA1 into a number of different products. HbA1c is the most abundant of these products and is the one obtained after the adduction of glucose to the amino-terminal valine of the β chain of adult haemoglobin (11). Automated analysers using Enzyme linked immunosorbent assay (ELISA) methods for HbA1c are specific and not affected by changes in temperature, labile intermediates or abnormal haemoglobins. They are capable of analysis up to 250 samples per hour (11). A bench-top portable HbA1c analyser is commercially available. This instrument can be conveniently used in the out-patient diabetic clinic setting by laboratory or adequately trained non-laboratory staff (11,12). Oral glucose tolerance test (OGTT) still remain cardinal in the diagnosis of diabetes as recommended by World Health Organization, where a 2hour post glucose value (2hrpp) of ≥200mg/dl after ingestion of 75g of an hydrous glucose is diagnostic (13). Available studies using glycohaemoglobin as a screening method rarely use OGTT as a reference test; such studies were not carried out among high risk patients for type 2 diabetes like people with systemic hypertension. This study was undertaken to evaluate the performance of DCA 2000® autoanalyser for HbA 1c assay as a screening method for type 2 diabetes among people with systemic hypertension in a hospital setting. 4 Methodology Study Design: Cross sectional study Study Location: This study was carried out at the Department of Medicine of the Lagos University Teaching Hospital (LUTH) and the Endocrine Unit Laboratory of the Department of Medicine of the College of Medicine, University of Lagos over a period of three months, spanning from January to March 2004. The Lagos University Teaching Hospital is located in Idi-Araba on the mainland and functions as a tertiary health care centre. Subjects: The subject population was made of people with known history of systemic hypertension on life-style modification and/ or drug (s) for the control of the hypertension, attending the Cardiology and Renal units’ Medical out Patients’ Department of the hospital were recruited for the screening exercise for type 2 diabetes. Those patients with established secondary form of hypertensions, chronic renal failure and chronic liver disease were excluded from the study. Sample Size: We recruited 206 persons to give room for attrition, out of which 131 (participation rate of 63.41%) of them eventually turn up for OGTT; 87 were females constituting 65.64% while males were 44 in number constituting 34.35%. We analysed HbA1c on 33 (25% of sample that had OGTT) samples of the subjects because of the cost of reagent strip which went as much as above 1000 Nigerian naira per one, two revealed error report remaining 31 (23.7%). Random sampling method was carried out, to select one out of every four. Approval was obtained from the Ethical Committee of the Lagos University Teaching Hospital. An informed consent was obtained from the patients/ subjects before commencing the studies. The patients on usual medical follow up were approached and given a brief health talk on the importance of screening for diabetes among people with systemic hypertension. A questionnaire containing biodata and anthropometry of the subjects were taken. The information taken include: name, age, gender, hospital number, height (m) with measurement taken to the closest centimeter, weight (kg) to the closest mg, and BMI calculated as the ratio of weight to the square of height in metres. Waist circumference was taken at umbilical level, to the closest centimeters, Hip circumference was measured at the widest dimension of buttocks, to the closest centimeters. Waist to hip ratio was calculated by finding the ratio of the waist to that of hip. Those that had questionnaire applied were given another day, a week to come to the endocrine laboratory of department of medicine to come for OGTT and HbA1c assay. They all arrived before 7.30 am for OGTT and in a fasting state after the previous day dinner. Procedures for Oral Glucose Tolerance Test and HbA1c Assay At 7.30am, all had their fasting venous blood and sample for HbA1c taken and were given 75gm of dissolved anhydrous glucose in chilled water to drink at once and another sample was taken at 9.30am. Immediately, after the venous blood was drawn, all were centrifuged, and aliquots were prepared within 30min of collection and those for HbA1c were run immediately. Plasma aliquots were frozen at -80oC until conduction of the analyses in the same laboratory. Plasma glucose was analyzed according to the method of Trinder (14) using glucose oxidase enzyme buffered in phenoxylate and dissolved in colour reagent. The coefficient of variation for intra-assay was 3.5% and inter-assay was 9%. 2hrpp of ≥11.1mmol-1 is considered to have diabetes using OGTT as gold standard. HbA1c assay was carried out using DCA 2000® autoanalyser machine and reagent kit produced by Bayer Corporation Inc, USA. This assay is based on a latex immunoagglutination inhibition method (DCA 2000®+ Manual). This provides a convenient, quantitative method for measuring the percentage concentration of haemoglobin A 1C in blood; both the 5 concentration of haemoglobin A1C specifically and the concentration of total haemoglobin are measured, and the ratio reported as percent haemoglobin A1C. The chemical principle for the measurement of total haemoglobin: potassium ferricyanide is used to oxidize haemoglobin in the sample to thiocyanate to form thiocyan-methemoglobin and the coloured species which is measured. The extent of colour development at 531nm is proportional to the concentration of total haemoglobin in the sample. For the measurement of specific HbA1C, an inhibition of latex agglutination assay is used. An agglutinator (synthetic polymer containing multiple copies of the immunoreactive portion of HbA 1C) causes agglutination of latex coated with HbA1C specific mouse monoclonal antibody. This agglutination reaction causes increased scattering of light which is measured as an increased absorbance at 531nm. The HbA1C in whole blood specimens competes for the limited number of antibody-latex binding sites causing an inhibition of agglutination and a decreased scattering of light. The decreased scattering is measured as a decrease in absorbance at 531 nm. The HbA 1C concentration is then qualified using a calibration curve of absorbance versus HbA1C concentration. HbA1C of <6.7% was considered to have negative screening test and ≥ 6.7% was considered to be positive. The percentage HbA1c in the sample is then calculated as follows; % HbA1c = {HbA1c} x 100 {Total Hemoglobin} The coefficient of variation of assay method was 0%, depicting a high precision of the machine and method. At the end of the exercise all the data were entered into a Microsoft Excel database. We use SPSS version 11 to analyze the data. The Means±SDs were assessed for continuous variables, and frequencies and proportions were assessed for categorical variables. Differences among groups were assessed with the independent t- test. Pearson’s moment correlation coefficient was used to determine the relationship between HbA1C and 2hpp of OGTT, while comparison of proportions was performed using chi-square test. A two-by-two table (Table 1) was used to compute sensitivity, specificity, predictive values, efficiency of HbA1C as a screening tool and prevalence of Type 2 diabetes among people with systemic hypertension (15). 6 Results- The mean age of 31 who had HbA1C assay was 54.26±6.66years, the range of their ages was 43 to 70yrs. The mode is 48 and the median is 52yrs. This is compose of 25(80.6%) of females and 6(18.4%) males. Gender differential by HbA1C categorization shows that 13 females and 5 males had HbA1C < 6.1% while 12 females and 1 males had HbA1C ≥6.1%. The mean duration of hypertension was 13years, mean height was 1.63m, mean weight was 80.86kg, mean BMI was 30.67kg/m2, mean waist circumference was 99.7cm, mean hip circumference was 109.55cm, mean waist to hip ratio was 0.91, mean glycated haemoglobin was 6.6% and mean 2hour plasma glucose was 182mg/dl. Demographic features of those with glycated haemoglobin <6.1% for negative screening test and ≥6.1% as positive screening test using: age, duration of hypertension, height, weight, body mass index (BMI), waist and hip circumference, waist to hip ratio, 2hour plasma glucose value reveals no statistically significant difference except HbA1C as shown in table 2. The prevalence rate of newly diagnosed type 2 diabetes by HbA1C was 41.93% (13/31), while by OGTT was 22.58% (7/31). The sensitivity of HbA1c was 57.14, specificity was 62.5, positive predictive value was 30.77, negative predictive value was 83.33, efficiency of the test is 61.29. The information used to calculate performance of HbA1c as a screening test is shown in table 2. The accuracy which is a measure of correlation(r) of HbA1C to OGTT is 0.72 shown in fig 1, y= -158 + 52HbA1C and p =0.00 which is statistically significant. A scatograph showing the relationship between HbA1C to OGTT is shown in fig 1 showing good correlation. A plot of Receiver Operative Characteristic Curve which is a function of sensitivity against 1-sensitivity of OGTT against HbA1C reveal area under the curve of 0.682 (<0.5) which is significant as shown in Fig 2. 7 Discussion. Several studies have examined the relationship between glycated haemoglobin and OGTT (6, 14 &15). Results of these studies are difficult to compare because each used different assay methods and cut off point for glycosylated haemoglobin. In general, glycosylated haemoglobin shows a good correlation with various parameters of OGTT. Thus, our finding is in tandem with most others in terms of correlation and Receiver operative Characteristic curve (6, 14-17). The correlation in this study seems to be lower, though significant compare to other study (14,) where they got a correlation of glycosylated haemoglobin to 2hrs postprandial of OGTT of 0.88. Total glycosylated haemoglobin assay, and different methodology was used in this study, this may account for disparity in correlation result. Another study where HbA1C was assay gave a correlation of 0.86(15, 16). This different even though HbA1C was assayed, different methodology of assay different subject setting was used. In a study where comparison of performance of HbA1C and Danish risk score was done (17) ROC of .8 was obtained. This value was higher than what was obtained in this study, though both are significant. A remarkable sensitivity of 57.14% reported in this study is similar to one reported Laural et al(18) in which a sensitivity of 57% was recorded. Though, a similar cut-off point of 6.0% was used giving rise to almost similar sensitivity result. Another study reported a sensitivity of 63.2% at a cut-off point of 6.1, but instead FBS was used a Gold standard. The difference in gold standard may account for the little difference in sensitivity result. Likewise, a sensitivity of 63% (19) and 56.9% (20) was reported using same HbA1c cut-off point of 6.1%, but fasting blood sugar was instead used as a gold standard. Specificity result reported in this study is dissimilar to one reported by Laural et al (18), they reported a specificity of 100%, though the subjects were double screened using FBS and OGTT, those who had elevated blood sugar but did not met diagnosis of diabetes using FBS were sent for OGTT to confirm the diagnosis of diabetes. This may account for the marked disparity in the result report. Other studies reported a specificity of 97.4%, 95.3% and 97.4% (19, 20) at same cut-off value of HbA1c, this much disparity compare to one reported here may be due to the fact that FBS was used as a gold standard these studies. This study is very useful because no similar study of this kind has being carried out among black Africans. The low performance of HbA1c in this in terms of sensitivity, specificity and ROC compare to others done among the Caucasians signal a need for appropriate cut-off point to be determined among the blacks that will possibly give a better result comparable to what obtains in Caucasians. Hopefully, Gods willing the next study to be carried out will be geared towards addressing it. 8 References1. The DECODE Study group, European Diabetes Epidemiology Group. Is the current definition for diabetes relevant to mortality risk from all causes and cardiovascular and noncardiovascular diseases? Diabetes Care 2003; 26: 688 – 96 2. Drivsholm T, Ibseri H, Schroll M, Davidsen M, Boroh-Johnson K. Increasing prevalence of diabetes mellitus and Impaired glucose tolerance among 60yrs old Danes. Diab. Met 2005; 18: 126 – 132. 3. Midthjell K, Krager O, Holman J, Tuerdal A, Claudi T, Bjomdal A, Magnus P. Rapid changes in the prevalence of Obesity and known diabetes in an adult Norwegian population. 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Bankole MA. Interpretation of Laboratory tests. In: Handbook of Research Methods in Medicine, Nigerian Educational Research and Development Council 1991; 95-113. 16. Randie RL, Jack DE, Hsiao-Me W, Edith MM, David JP, William CK, David EG. Relationship of glycosylated haemoglobin to Oral Glucose Tolerance; Implication for Diabetes Screening. Diabetes 1988; 37: 60 – 64. 17. David EG, Parker MK, Jack DE, Jack EE jnr, Hsiao-Me W, Sharom SR, Randall H, Randie RL, John FS, Russel PD. Clinical Application of Glycosylated Haemoglobin measurement. Diabetes 1982; 31: 70 – 78. 18. Julio VS, Davis JE, Fred F. Haemoglobin A1c levels in a diabetes Detection Program. J Clin Endocrinol Metab 1978; 47: 578 – 80. 19. Glumer C, Jorgensen T, Borch-Johnson K. Targeted Screening for undiagnosed diabetes reduces the number of diagnostic tests. Inter 99(8). Diabetes Medicine 2004; 21: 874 – 880 20. Laura SG, Mala K, Samir M, David LK, Ilja H, Ramin A, Haq N. Utility of HbA1c levels for diabetes case finding in hospitalized patients with hyperglycaemia. Diabetes Care 2003; 26: 1064 – 1068. 21. Curt R, Randie RL, Hsiao-Me W, Jack DE, Richard M, Maureen IH, Katherine MF, Mark SE, David EG. Use of Gb(HbA1c) in screening for undiagnosed Diabetes in the US population. Diabetes Care 2000; 23: 187 – 191. 22. Yoshihiko T, Mitsuhiko N, Shoichiko T, Takeshi K, Chikako L, Takashi K. Prevalence of Diabetes Estimated by Plasma Glucose criteria combined with standardized measurement of HbA1c among Health Check-Up Participants on Myako Island, Japan. Diabetes Care 2000; 23: 1092 – 1096. 9 Table 1. 2x2 table of HbA1c and OGTT. ghb in category * Mean 2hrs in category Crosstabulation Count ghb in category Total Less than 6.1 6.1 and above Mean 2hrs in category Less than 200mg/dl 200mg/dl and above 15 3 9 4 24 7 10 Total 18 13 31 Table 2. Shows the features of those screened for type 2 diabetes based on the screen result. Features HbA1C P value <6.1% ≥6.1% Age(years) 52.56±6 56.62±7 0.09 Duration of hypertension (years) 12.39±7.76 14.69±10 0.48 Height(metres) 1.64±0.96 1.61±0.8 0.25 Weight (kg) 84.20±11 76.24±16.11 0.11 Body Mass Index (kg/m2) 31.55±6.54 29.47±5.60 0.36 Waist Circumference (cm) 101.61±9.74 97.07±10.46 0.22 Hip Circumference (cm) 109.67±8 109.38±15.46 0.94 Waist to Hip ratio 0.92±0.05 0.89±0.07 0.16 Two-hour plasma glucose (mg/dl) 150.55±81.53 226.11±181.06 0.13 Glycated haemoglobin (%) 5.59±0.36 8.03±2.31 0.00 11 800 700 600 500 400 MEAN2HRP 300 200 100 0 Rsq = 0.5286 4 6 8 10 12 14 HbA 1c Fig 1. Regression correlation line between 2hpp and HbA1c y=-158+52x r= 0.73 P=0.00 12 16 ROC Curve 1.00 .75 Sensitivity .50 .25 0.00 0.00 .25 .50 .75 1 - Specificity Diagonal segments are produced by ties. Fig 2. Receiver Operative Characteristic curve of OGTT against HbA1C. 13 1.00