期刊论文详细信息
BMC Medicine
Shifting from glucose diagnosis to the new HbA1c diagnosis reduces the capability of the Finnish Diabetes Risk Score (FINDRISC) to screen for glucose abnormalities within a real-life primary healthcare preventive strategy
Oriol Solà-Morales1  Jordi Salas-Salvadó2  Ramon Sagarra3  Xavier Mundet3  Joan J Cabré3  Josep L Piñol3  Francisco Barrio3  Bernardo Costa3 
[1]Pere Virgili Health Research Institute. Health Institute Technology Transfer, Tarragona-Barcelona, Sant Llorenç 21, 43201, Reus, Spain
[2]CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Monforte de Lemos 5, 28029, Madrid, Spain
[3]Jordi Gol Primary Care Research Institute, Reus-Tarragona Diabetes Research Group, Catalan Health Institute, Primary Health Care Division, Camí de Riudoms 53-55, 43202, Reus, Spain
关键词: primary healthcare;    FINDRISC;    pre-diabetes;    impaired glucose tolerance;    impaired fasting glucose;    screening;    Type 2 diabetes;   
Others  :  857182
DOI  :  10.1186/1741-7015-11-45
 received in 2012-09-12, accepted in 2013-02-21,  发布年份 2013
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【 摘 要 】

Background

To investigate differences in the performance of the Finnish Diabetes Risk Score (FINDRISC) as a screening tool for glucose abnormalities after shifting from glucose-based diagnostic criteria to the proposed new hemoglobin (Hb)A1c-based criteria.

Methods

A cross-sectional primary-care study was conducted as the first part of an active real-life lifestyle intervention to prevent type 2 diabetes within a high-risk Spanish Mediterranean population. Individuals without diabetes aged 45-75 years (n = 3,120) were screened using the FINDRISC. Where feasible, a subsequent 2-hour oral glucose tolerance test and HbA1c test were also carried out (n = 1,712). The performance of the risk score was calculated by applying the area under the curve (AUC) for the receiver operating characteristic, using three sets of criteria (2-hour glucose, fasting glucose, HbA1c) and three diagnostic categories (normal, pre-diabetes, diabetes).

Results

Defining diabetes by a single HbA1c measurement resulted in a significantly lower diabetes prevalence (3.6%) compared with diabetes defined by 2-hour plasma glucose (9.2%), but was not significantly lower than that obtained using fasting plasma glucose (3.1%). The FINDRISC at a cut-off of 14 had a reasonably high ability to predict diabetes using the diagnostic criteria of 2-hour or fasting glucose (AUC = 0.71) or all glucose abnormalities (AUC = 0.67 and 0.69, respectively). When HbA1c was used as the primary diagnostic criterion, the AUC for diabetes detection dropped to 0.67 (5.6% reduction in comparison with either 2-hour or fasting glucose) and fell to 0.55 for detection of all glucose abnormalities (17.9% and 20.3% reduction, respectively), with a relevant decrease in sensitivity of the risk score.

Conclusions

A shift from glucose-based diagnosis to HbA1c-based diagnosis substantially reduces the ability of the FINDRISC to screen for glucose abnormalities when applied in this real-life primary-care preventive strategy.

【 授权许可】

   
2013 Costa et al; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Alberti KG, Zimmet P, Shaw J: International Diabetes Federation: a consensus on type 2 diabetes prevention. Diabet Med 2007, 24:451-463.
  • [2]Schwarz PE, Li J, Lindström J, Tuomilehto J: Tools for predicting the risk of type 2 diabetes in daily practice. Horm Metab Res 2009, 41:86-97.
  • [3]American Diabetes Association Position Statement: Diagnosis and classification of diabetes mellitus. Diabetes Care 2010, 33:S62-S69.
  • [4]Bloomgarden ZT: A1C: recommendations, debates, and questions. Diabetes Care 2009, 32:e141-147.
  • [5]Tuomilehto J, Lindström J, Eriksson JG, Valle TT, Hämäläinen H, Ilanne-Parikka P, Keinänen-Kiukaanniemi S, Laakso M, Louheranta A, Rastas M, Salminen V, Uusitupa M, Finnish Diabetes Prevention Study Group: Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001, 344:1343-1392.
  • [6]Diabetes Prevention Program Research Group: Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 2002, 346:393-403.
  • [7]Costa B, Barrio F, Cabré JJ, Piñol JL, Cos X, Solé C, Bolíbar B, Basora J, Castell C, Solà-Morales O, Salas-Salvadó J, Lindström J, Tuomilehto J, DE-PLAN-CAT Research Group: Delaying progression to type 2 diabetes among high-risk Spanish individuals is feasible in real-life primary healthcare settings using intensive lifestyle intervention. Diabetologia 2012, 55:1319-1328.
  • [8]Lindström J, Tuomilehto J: The Diabetes Risk Score: a practical tool to predict type 2 diabetes risk. Diabetes Care 2003, 26:725-731.
  • [9]Schwarz PE, Lindström J, Kissimova-Skarbek K, Szybinski Z, Barengo NC, Peltonen M, Tuomilehto J, on behalf of the DE-PLAN project: The European perspective of type 2 diabetes prevention: diabetes in Europe--prevention using lifestyle, physical activity and nutritional intervention (DE-PLAN) project. Exp Clin Endocrinol Diabetes 2008, 116:167-172.
  • [10]FINDRISC questionnaire (Consulted on 09/09/2012). Available at http://www.diabetes.fi webcite
  • [11]Paulweber B, Valensi P, Lindström J, Lalic NM, Greaves CJ, McKee M, Kissimova-Skarbek K, Liatis S, Cosson E, Szendroedi J, Sheppard KE, Charlesworth K, Felton AM, Hall M, Rissanen A, Tuomilehto J, Schwarz PE, Roden M, Paulweber M, Stadlmayr A, Kedenko L, Katsilambros N, Makrilakis K, Kamenov Z, Evans P, Gilis-Januszewska A, Lalic K, Jotic A, Djordevic P, Dimitrijevic-Sreckovic V, et al.: A European evidence-based guideline for the prevention of type 2 diabetes. Horm Metab Res 2010, 42(Suppl 1):S3-S36.
  • [12]Lindström J, Neumann A, Sheppard KE, Gilis-Januszewska A, Greaves CJ, Handke U, Pajunen P, Puhl S, Pölönen A, Rissanen A, Roden M, Stemper T, Telle-Hjellset V, Tuomilehto J, Velickiene D, Schwarz PE, Acosta T, Adler M, AlKerwi A, Barengo N, Barengo R, Boavida JM, Charlesworth K, Christov V, Claussen B, Cos X, Cosson E, Deceukelier S, Dimitrijevic-Sreckovic V, Djordjevic P, et al.: Take action to prevent diabetes--the IMAGE toolkit for the prevention of type 2 diabetes in Europe. Horm Metab Res 2010, 42(Suppl 1):S37-S55.
  • [13]The International Expert Committee: International Expert Committee Report on the role of the A1c assay in the diagnosis of diabetes. Diabetes Care 2009, 32:1327-1334.
  • [14]Gillies CL, Abrams KR, Lambert PC, Cooper NJ, Sutton AJ, Hsu RT, Davies MJ, Khunti K: Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. BMJ 2007, 334:229-237.
  • [15]Selvin E, Steffes MW, Zhu H, Matsushita K, Wagenknecht L, Pankow J, Coresh J, Brancati FL: Glycated hemoglobin, diabetes, and cardiovascular risk in non-diabetic adults. N Engl J Med 2010, 362:800-811.
  • [16]Zhang X, Gregg EW, Williamson DF, Barker LE, Thomas W, Bullard KM, Imperatore G, Williams DE, Albright AL: A1c level and future risk of diabetes: a systematic review. Diabetes Care 2010, 33:1665-1673.
  • [17]Buijsse B, Simmons RK, Griffin SJ, Schulze MB: Risk assessment tools for identifying individuals at risk of developing type 2 diabetes. Epidemiol Rev 2011, 33:46-62.
  • [18]Collins GS, Mallett S, Omar O, Yu L: Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting. BMC Medicine 2011, 9:103. doi: 10.1186/1741-7015-9-103 BioMed Central Full Text
  • [19]Noble D, Mathur R, Dent T, Meads C, Greenhalgh T: Risk models and scores for type 2 diabetes: systematic review. BMJ 2011, 343:d7163. doi: 10.1136/bmj.d7163
  • [20]Ley SH, Harris SB, Mamakeesick M, Noon T, Fiddler E, Gittelsohn J, Wolever TM, Connelly PW, Hegele RA, Zinman B, Hanley AJ: Metabolic syndrome and its components as predictors of incident type 2 diabetes mellitus in an Aboriginal community. CMAJ 2009, 180:617-624.
  • [21]Lyssenko V, Almgren P, Anevski D, Orho-Melander M, Sjögren M, Saloranta C, Tuomi T, Groop L, Botnia Study Group: Genetic prediction of future type 2 diabetes. PLoS Med 2005, 2:e345.
  • [22]Guasch-Ferré M, Bulló M, Costa B, Martínez-Gonzalez MÁ, Ibarrola-Jurado N, Estruch R, Barrio F, Salas-Salvadó J, PREDI-PLAN investigators: A risk score to predict type 2 diabetes mellitus in an elderly Spanish Mediterranean population at high cardiovascular risk. PLoS One 2012, 7:e33437.
  • [23]Rautio N, Jokelainen J, Oksa H, Saaristo T, Peltonen M, Niskanen L, Puolijoki H, Vanhala M, Uusitupa M, Keinänen-Kiukaanniemi S, FIN-D2D Study Group: Socioeconomic position and effectiveness of lifestyle intervention in prevention of type 2 diabetes: one-year follow-up of the FIN-D2D project. Scand J Public Health 2011, 39:561-570.
  • [24]Makrilakis K, Liatis S, Grammatikou S, Perrea D, Stathi C, Tsiligros P, Katsilambros N: Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece. Diabetes Metab 2011, 37:144-151.
  • [25]Vermunt PW, Milder IE, Wielaard F, Baan CA, Schelfhout JD, Westert GP, van Oers HA: Implementation of a lifestyle intervention for type 2 diabetes prevention in Dutch primary care: opportunities for intervention delivery. BMC Fam Pract 2012, 13:79. BioMed Central Full Text
  • [26]Costa B, Barrio F, Cabré JJ, Piñol JL, Cos X, Solé C, Bolibar B, Castell C, Lindström J, Barengo N, Tuomilehto J, DE-PLAN-CAT Research Group: Shifting from glucose diagnostic criteria to the new HbA1c criteria would have a profound impact on prevalence of diabetes among a high-risk Spanish population. Diabet Med 2011, 28:1234-1237.
  • [27]Chamnan P, Simmons RK, Khaw KT, Wareham NJ, Griffin SJ: Estimating the potential population impact of stepwise screening strategies for identifying and treating individuals at high risk of Type 2 diabetes: a modelling study. Diabet Med 2012, 29:893-904.
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