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Article: Classification Rule for 5-year Cardiovascular Diseases Risk using decision tree in Primary Care Chinese Patients with Type 2 Diabetes Mellitus

TitleClassification Rule for 5-year Cardiovascular Diseases Risk using decision tree in Primary Care Chinese Patients with Type 2 Diabetes Mellitus
Authors
Issue Date2017
PublisherNature Publishing Group: Open Access Journals - Option C. The Journal's web site is located at http://www.nature.com/srep/index.html
Citation
Scientific Reports, 2017, v. 7, article no. 15238, p. 1-8 How to Cite?
AbstractCardiovascular disease(CVD) is the leading cause of mortality among patients with type 2 diabetes mellitus(T2DM), and a risk classification model for CVD among primary care diabetic patients is pivotal for risk-based interventions and patient information. This study developed a simple tool for a 5-year CVD risk prediction for primary care Chinese patients with T2DM. A retrospective cohort study was conducted on 137,935 primary care Chinese T2DM patients aged 18–79 years without history of CVD between 1 January 2010 and 31 December 2010. New events of CVD of the cohort over a median follow up of 5 years were extracted from the medical records. A classification rule of 5-year CVD risk was obtained from the derivation cohort and validated in the validation cohort. Significant risk factors included in decision tree were age, gender, smoking status, diagnosis duration, obesity, unsatisfactory control on haemoglobin A1c and cholesterol, albuminuria and stage of chronic kidney disease, which categorized patients into five 5-year CVD risk groups(<5%; 5–9%; 10–14%; 15–19% and ≥20%). Taking the group with the lowest CVD risk, the hazard ratios varied from 1.92(1.77,2.08) to 8.46(7.75,9.24). The present prediction model performed comparable discrimination and better calibration from the plot compared to other current existing models.
Persistent Identifierhttp://hdl.handle.net/10722/252226
ISSN
2017 Impact Factor: 4.122
2015 SCImago Journal Rankings: 2.073
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWan, YF-
dc.contributor.authorFong, DYT-
dc.contributor.authorFung, SCC-
dc.contributor.authorYu, YTE-
dc.contributor.authorChin, WY-
dc.contributor.authorChan, KC-
dc.contributor.authorLam, CLK-
dc.date.accessioned2018-04-12T08:35:45Z-
dc.date.available2018-04-12T08:35:45Z-
dc.date.issued2017-
dc.identifier.citationScientific Reports, 2017, v. 7, article no. 15238, p. 1-8-
dc.identifier.issn2045-2322-
dc.identifier.urihttp://hdl.handle.net/10722/252226-
dc.description.abstractCardiovascular disease(CVD) is the leading cause of mortality among patients with type 2 diabetes mellitus(T2DM), and a risk classification model for CVD among primary care diabetic patients is pivotal for risk-based interventions and patient information. This study developed a simple tool for a 5-year CVD risk prediction for primary care Chinese patients with T2DM. A retrospective cohort study was conducted on 137,935 primary care Chinese T2DM patients aged 18–79 years without history of CVD between 1 January 2010 and 31 December 2010. New events of CVD of the cohort over a median follow up of 5 years were extracted from the medical records. A classification rule of 5-year CVD risk was obtained from the derivation cohort and validated in the validation cohort. Significant risk factors included in decision tree were age, gender, smoking status, diagnosis duration, obesity, unsatisfactory control on haemoglobin A1c and cholesterol, albuminuria and stage of chronic kidney disease, which categorized patients into five 5-year CVD risk groups(<5%; 5–9%; 10–14%; 15–19% and ≥20%). Taking the group with the lowest CVD risk, the hazard ratios varied from 1.92(1.77,2.08) to 8.46(7.75,9.24). The present prediction model performed comparable discrimination and better calibration from the plot compared to other current existing models.-
dc.languageeng-
dc.publisherNature Publishing Group: Open Access Journals - Option C. The Journal's web site is located at http://www.nature.com/srep/index.html-
dc.relation.ispartofScientific Reports-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleClassification Rule for 5-year Cardiovascular Diseases Risk using decision tree in Primary Care Chinese Patients with Type 2 Diabetes Mellitus-
dc.typeArticle-
dc.identifier.emailWan, YF: yfwan@hku.hk-
dc.identifier.emailFong, DYT: dytfong@hku.hk-
dc.identifier.emailFung, SCC: cfsc@HKUCC-COM.hku.hk-
dc.identifier.emailYu, YTE: ytyu@hku.hk-
dc.identifier.emailChin, WY: chinwy@hku.hk-
dc.identifier.emailLam, CLK: clklam@hku.hk-
dc.identifier.authorityWan, YF=rp02518-
dc.identifier.authorityFong, DYT=rp00253-
dc.identifier.authorityFung, SCC=rp01330-
dc.identifier.authorityYu, YTE=rp01693-
dc.identifier.authorityChin, WY=rp00290-
dc.identifier.authorityLam, CLK=rp00350-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/s41598-017-15579-z-
dc.identifier.pmid29127341-
dc.identifier.pmcidPMC5681694-
dc.identifier.scopuseid_2-s2.0-85033603993-
dc.identifier.hkuros284592-
dc.identifier.volume7-
dc.identifier.spagearticle no. 15238, p. 1-
dc.identifier.epagearticle no. 15238, p. 8-
dc.identifier.isiWOS:000414917000004-
dc.publisher.placeUnited Kingdom-

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