A simple Chinese risk score for undiagnosed diabetes

被引:110
|
作者
Gao, W. G. [1 ,2 ,5 ]
Dong, Y. H. [2 ]
Pang, Z. C. [3 ]
Nan, H. R. [4 ]
Wang, S. J. [3 ]
Ren, J. [3 ]
Zhang, L. [1 ,2 ,5 ]
Tuomilehto, J. [1 ,5 ]
Qiao, Q. [1 ,5 ]
机构
[1] Univ Helsinki, Dept Publ Hlth, Helsinki, Finland
[2] Qingdao Endocrinol & Diabet Hosp, Qingdao, Peoples R China
[3] Qingdao Municipal Ctr Dis Control & Prevent, Dept Noncommunicable Dis Prevent, Qingdao, Peoples R China
[4] Hong Kong Inst Diabet & Obes, Hong Kong, Hong Kong, Peoples R China
[5] Natl Inst Hlth & Welf, Diabet Unit, Dept Chron Dis Prevent, Helsinki, Finland
关键词
risk assessment; score; undiagnosed diabetes; IMPAIRED FASTING GLUCOSE; ADULT-POPULATION; MELLITUS; PREVALENCE; URBAN; RECLASSIFICATION; PERFORMANCE; VALIDATION; DERIVATION; PREDICT;
D O I
10.1111/j.1464-5491.2010.02943.x
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
P>Aims A diabetes risk score for screening undiagnosed diabetes was constructed and validated in Chinese adults. Methods Two consecutive population-based diabetes surveys among Chinese adults aged 20-74 years were conducted in 2002 (n = 1986) and 2006 (n = 4336). Demographic and anthropometric measures were collected following similar procedures. Standard 2-h 75-g oral glucose tolerance tests (OGTTs) were performed to diagnose diabetes in both surveys. Fasting capillary plasma glucose (FCG) and glycated haemoglobin (HbA(1c)) were also measured together with the OGTTs on the same day of the 2006 survey. Beta coefficients estimated using logistic regression analysis derived from data of the 2002 survey were used to develop the risk assessment algorithm. The performance of the algorithm was validated in the study population of the 2006 survey. Results Of all the variables tested, waist circumference, age and family history of diabetes were significant predictors of diabetes and were used to construct the risk assessment score. The score, ranging from 3 to 32, performed well when applied to the study population of the 2006 survey. The area under the receiver operating characteristic curve was 67.3% (95% CI, 64.9-69.7%) for the score, while it was 76.3% (73.5-79.0%) for FCG alone and 67.8% (64.9-70.8%) for HbA(1c) alone. At a cut-off point of 14, the sensitivity and specificity of the risk score were 84.2% (81.0-87.5%) and 39.8% (38.2-41.3%). Conclusions The risk score based on age, waist circumference and family history of diabetes is efficient as a layperson-oriented diabetes screening tool for health promotion and for population-based screening programmes.
引用
收藏
页码:274 / 281
页数:8
相关论文
共 50 条
  • [1] Development and validation of a simple risk score for prevalent undiagnosed type 2 diabetes in Southern Chinese population
    Hui Wang
    Tao Liu
    Quan Qiu
    Emma Karp
    Peng Ding
    Yan-Hui He
    Wei-Qing Chen
    International Journal of Diabetes in Developing Countries, 2015, 35 : 318 - 326
  • [2] Development and validation of a simple risk score for prevalent undiagnosed type 2 diabetes in Southern Chinese population
    Wang, Hui
    Liu, Tao
    Qiu, Quan
    Karp, Emma
    Ding, Peng
    He, Yan-Hui
    Chen, Wei-Qing
    INTERNATIONAL JOURNAL OF DIABETES IN DEVELOPING COUNTRIES, 2015, 35 (03) : 318 - 326
  • [3] A Chinese Diabetes Risk Score for Screening of Undiagnosed Diabetes and Abnormal Glucose Tolerance
    Liu, Min
    Pan, Changyu
    Jin, Mengmeng
    DIABETES TECHNOLOGY & THERAPEUTICS, 2011, 13 (05) : 501 - 507
  • [4] A Chinese diabetes risk score for opportunistic screening of undiagnosed diabetes and abnormal glucose tolerance
    Liu, M.
    Jin, M.
    Pan, C.
    DIABETOLOGIA, 2010, 53 : S155 - S155
  • [5] Identification of US Adults with Pre-Diabetes or Undiagnosed Diabetes Using a Simple Risk Score
    Bullard, Kai McKeever
    Williamson, David F.
    Imperatore, Giuseppina
    Gregg, Edward W.
    DIABETES, 2011, 60 : A357 - A357
  • [6] A simple risk score to identify Southern Chinese at high risk for diabetes
    Ko, G.
    So, W.
    Tong, P.
    Ma, R.
    Kong, A.
    Ozaki, R.
    Chow, C.
    Cockram, C.
    Chan, J.
    DIABETIC MEDICINE, 2010, 27 (06) : 644 - 649
  • [7] Development and Validation of a Simple Risk Score for Undiagnosed Type 2 Diabetes in a Resource-Constrained Setting
    Bernabe-Ortiz, Antonio
    Smeeth, Liam
    Gilman, Robert H.
    Sanchez-Abanto, Jose R.
    Checkley, William
    Jaime Miranda, J.
    JOURNAL OF DIABETES RESEARCH, 2016, 2016
  • [8] Indian Diabetes Risk Score (IDRS): An effective tool to screen undiagnosed diabetes
    Anand, Komal
    Jain, Seema
    Chopra, Harivansh
    Kumar, Arun
    Singh, Ganesh
    INDIAN JOURNAL OF COMMUNITY HEALTH, 2022, 34 (01) : 130 - 135
  • [9] A Colombian diabetes risk score for detecting undiagnosed diabetes and impaired glucose regulation
    Barengo, Noel Christopher
    Tamayo, Diana Carolina
    Tono, Teresa
    Tuomilehto, Jaakko
    PRIMARY CARE DIABETES, 2017, 11 (01) : 86 - 93
  • [10] Diabetes Risk Calculator: A simple tool for detecting undiagnosed diabetes and pre-diabetes
    Heikes, Kenneth E.
    Eddy, David M.
    Arondekar, Bhakti
    Schlessinger, Leonard
    DIABETES CARE, 2008, 31 (05) : 1040 - 1045