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Article: Three‐component non‐invasive risk score for undiagnosed diabetes in Chinese people: Development, validation and longitudinal evaluation

TitleThree‐component non‐invasive risk score for undiagnosed diabetes in Chinese people: Development, validation and longitudinal evaluation
Authors
KeywordsDiabetes
Non‐invasive
Score
Issue Date2020
PublisherWiley Open Access: Various Creative Commons Licenses. The Journal's web site is located at https://onlinelibrary.wiley.com/journal/20401124
Citation
Journal of Diabetes Investigation, 2020, v. 11 n. 2, p. 341-348 How to Cite?
AbstractAims/Introduction: To develop a new non‐invasive risk score for undiagnosed diabetes in Chinese people, and to evaluate the incident diabetes risk in those with high‐risk scores, but no diabetes on initial testing. Materials and Methods: A total of 2,609 participants with no known diabetes (aged 25–74 years) who underwent oral glucose tolerance tests in Hong Kong (HK) were investigated for independent risk factors of diabetes to develop a categorization point scoring system, the Non‐invasive Diabetes Score (NDS). This NDS was validated in a cross‐sectional study of 2,746 participants in Shaanxi, China. HK participants tested to not have diabetes at baseline were assessed for subsequent incident diabetes rates. Results: In the HK cohort, hypertension, age and body mass index were the key independent risk factors selected to develop the NDS, with ≥28 out of 50 NDS points considered as high risk. The area under the receiver operating characteristic curve for undiagnosed diabetes was 0.818 and 0.720 for the HK and Shaanxi cohort, respectively. The negative predictive value was 97.4% (HK) and 95.8% (Shaanxi); the number needed to screen to identify one case of diabetes was five (HK) and 11 (Shaanxi), respectively. Among those that tested non‐diabetes at baseline, individuals with NDS ≥28 had a threefold risk of incident diabetes during the subsequent 20.9 years, compared with those with NDS <28 (P < 0.001), with a steeper rise in incident diabetes observed in those with NDS at higher tertiles. Conclusions: This new three‐component risk score is a user‐friendly tool for diabetes screening, and might inform the subsequent testing interval for high‐risk non‐diabetes individuals.
Persistent Identifierhttp://hdl.handle.net/10722/281672
ISSN
2023 Impact Factor: 3.1
2023 SCImago Journal Rankings: 0.997
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWoo, YC-
dc.contributor.authorGao, B-
dc.contributor.authorLee, CH-
dc.contributor.authorFong, CHY-
dc.contributor.authorLui, DTW-
dc.contributor.authorMing, J-
dc.contributor.authorWang, L-
dc.contributor.authorYeung, KMY-
dc.contributor.authorCheung, BMY-
dc.contributor.authorLam, TH-
dc.contributor.authorJanus, E-
dc.contributor.authorJi, Q-
dc.contributor.authorLam, KSL-
dc.date.accessioned2020-03-22T04:18:06Z-
dc.date.available2020-03-22T04:18:06Z-
dc.date.issued2020-
dc.identifier.citationJournal of Diabetes Investigation, 2020, v. 11 n. 2, p. 341-348-
dc.identifier.issn2040-1116-
dc.identifier.urihttp://hdl.handle.net/10722/281672-
dc.description.abstractAims/Introduction: To develop a new non‐invasive risk score for undiagnosed diabetes in Chinese people, and to evaluate the incident diabetes risk in those with high‐risk scores, but no diabetes on initial testing. Materials and Methods: A total of 2,609 participants with no known diabetes (aged 25–74 years) who underwent oral glucose tolerance tests in Hong Kong (HK) were investigated for independent risk factors of diabetes to develop a categorization point scoring system, the Non‐invasive Diabetes Score (NDS). This NDS was validated in a cross‐sectional study of 2,746 participants in Shaanxi, China. HK participants tested to not have diabetes at baseline were assessed for subsequent incident diabetes rates. Results: In the HK cohort, hypertension, age and body mass index were the key independent risk factors selected to develop the NDS, with ≥28 out of 50 NDS points considered as high risk. The area under the receiver operating characteristic curve for undiagnosed diabetes was 0.818 and 0.720 for the HK and Shaanxi cohort, respectively. The negative predictive value was 97.4% (HK) and 95.8% (Shaanxi); the number needed to screen to identify one case of diabetes was five (HK) and 11 (Shaanxi), respectively. Among those that tested non‐diabetes at baseline, individuals with NDS ≥28 had a threefold risk of incident diabetes during the subsequent 20.9 years, compared with those with NDS <28 (P < 0.001), with a steeper rise in incident diabetes observed in those with NDS at higher tertiles. Conclusions: This new three‐component risk score is a user‐friendly tool for diabetes screening, and might inform the subsequent testing interval for high‐risk non‐diabetes individuals.-
dc.languageeng-
dc.publisherWiley Open Access: Various Creative Commons Licenses. The Journal's web site is located at https://onlinelibrary.wiley.com/journal/20401124-
dc.relation.ispartofJournal of Diabetes Investigation-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectDiabetes-
dc.subjectNon‐invasive-
dc.subjectScore-
dc.titleThree‐component non‐invasive risk score for undiagnosed diabetes in Chinese people: Development, validation and longitudinal evaluation-
dc.typeArticle-
dc.identifier.emailWoo, YC: wooyucho@hku.hk-
dc.identifier.emailLee, CH: pchlee@hku.hk-
dc.identifier.emailFong, CHY: kalofong@hku.hk-
dc.identifier.emailCheung, BMY: mycheung@hkucc.hku.hk-
dc.identifier.emailLam, TH: hrmrlth@hkucc.hku.hk-
dc.identifier.emailLam, KSL: ksllam@hku.hk-
dc.identifier.authorityLee, CH=rp02043-
dc.identifier.authorityCheung, BMY=rp01321-
dc.identifier.authorityLam, TH=rp00326-
dc.identifier.authorityLam, KSL=rp00343-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1111/jdi.13144-
dc.identifier.pmid31495069-
dc.identifier.pmcidPMC7078083-
dc.identifier.scopuseid_2-s2.0-85073947678-
dc.identifier.hkuros309485-
dc.identifier.hkuros323140-
dc.identifier.volume11-
dc.identifier.issue2-
dc.identifier.spage341-
dc.identifier.epage348-
dc.identifier.isiWOS:000491165600001-
dc.publisher.placeAustralia-
dc.identifier.issnl2040-1116-

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