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Validating the UK prospective diabetes study outcome model 2 using data of 94,946 Israeli patients with type 2 diabetes
To externally validate the United Kingdom Prospective Diabetes Study (UKPDS) Outcome Model 2 (OM2) in contemporary Israeli patient populations. De-identified patient data on demographics, time-varying risk factors, and clinical events of newly diagnosed type 2 diabetes patients were extracted from t...
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Published in: | Journal of diabetes and its complications 2022-01, Vol.36 (1), p.108086-108086, Article 108086 |
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creator | Zhuo, Xiaohui Melzer Cohen, Cheli Chen, Jieling Chodick, Gabriel Alsumali, Adnan Cook, John |
description | To externally validate the United Kingdom Prospective Diabetes Study (UKPDS) Outcome Model 2 (OM2) in contemporary Israeli patient populations.
De-identified patient data on demographics, time-varying risk factors, and clinical events of newly diagnosed type 2 diabetes patients were extracted from the Maccabi Healthcare Services (MHS) diabetes registry over years 2000–2013. Depending on the baseline risk, patients were categorized into low-risk and intermediate-risk groups. In addition to assessing discriminatory performance, the predicted and observed 15-year cumulative incidences of diabetes complications and death were compared among all patients and for the two risk-groups.
The discriminatory capability of OM2 was moderate to good, C-statistic ranging 0.71–0.95. The model overpredicted the risk for MI, blindness and death (Predicted/Observed events (P/O: 1.32–2.31)), and underpredicted the risk of IHD (P/O: 0.5). In patients with a low baseline risk, overpredictions were even more pronounced. OM2 performed well in predicting renal failure and ulcer risk in patients with a low risk but predicted well the risk of death, stroke, CHF, and amputation in patients with an intermediate risk.
OM2 demonstrated good to moderate discrimination capability for predicting diabetes complications and mortality risks in Israeli diabetes population. The prediction performance differed between patients with different baseline risks.
•OM2 demonstrated moderate to good discriminating capability in a cohort of Israeli patients with type 2 diabetes.•OM2 overpredicted 15-year risk for all-cause mortality, myocardial infarction, and blindness, mainly in low risk patients.•In patients with low baseline risk, OM2 performed well in predicting renal failure and ulcer risk.•In patients with an intermediate risk, OM2 predicted well the risk of all-cause mortality, stroke, CHF, and amputation. |
doi_str_mv | 10.1016/j.jdiacomp.2021.108086 |
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De-identified patient data on demographics, time-varying risk factors, and clinical events of newly diagnosed type 2 diabetes patients were extracted from the Maccabi Healthcare Services (MHS) diabetes registry over years 2000–2013. Depending on the baseline risk, patients were categorized into low-risk and intermediate-risk groups. In addition to assessing discriminatory performance, the predicted and observed 15-year cumulative incidences of diabetes complications and death were compared among all patients and for the two risk-groups.
The discriminatory capability of OM2 was moderate to good, C-statistic ranging 0.71–0.95. The model overpredicted the risk for MI, blindness and death (Predicted/Observed events (P/O: 1.32–2.31)), and underpredicted the risk of IHD (P/O: 0.5). In patients with a low baseline risk, overpredictions were even more pronounced. OM2 performed well in predicting renal failure and ulcer risk in patients with a low risk but predicted well the risk of death, stroke, CHF, and amputation in patients with an intermediate risk.
OM2 demonstrated good to moderate discrimination capability for predicting diabetes complications and mortality risks in Israeli diabetes population. The prediction performance differed between patients with different baseline risks.
•OM2 demonstrated moderate to good discriminating capability in a cohort of Israeli patients with type 2 diabetes.•OM2 overpredicted 15-year risk for all-cause mortality, myocardial infarction, and blindness, mainly in low risk patients.•In patients with low baseline risk, OM2 performed well in predicting renal failure and ulcer risk.•In patients with an intermediate risk, OM2 predicted well the risk of all-cause mortality, stroke, CHF, and amputation.</description><identifier>ISSN: 1056-8727</identifier><identifier>EISSN: 1873-460X</identifier><identifier>DOI: 10.1016/j.jdiacomp.2021.108086</identifier><identifier>PMID: 34799250</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Age ; Amputation ; Body mass index ; Calibration ; Clinical medicine ; Diabetes ; Diabetes complications ; Diabetes Complications - complications ; Diabetes Mellitus, Type 2 - complications ; Diabetes Mellitus, Type 2 - epidemiology ; External validation ; Glucose ; Health maintenance organizations ; Heart rate ; Hemoglobin ; HMOs ; Humans ; Mortality ; Patients ; Prediction ; Prospective Studies ; Risk Assessment ; Risk equations ; Risk Factors ; Stroke ; Type 2 diabetes ; Ulcers ; United Kingdom - epidemiology</subject><ispartof>Journal of diabetes and its complications, 2022-01, Vol.36 (1), p.108086-108086, Article 108086</ispartof><rights>2021 Elsevier Inc.</rights><rights>Copyright © 2021 Elsevier Inc. All rights reserved.</rights><rights>2021. Elsevier Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-8104580bb87fb5c379eba7bdc78fe6f355f798e4512e01627cacd4e5840aae5d3</citedby><cites>FETCH-LOGICAL-c396t-8104580bb87fb5c379eba7bdc78fe6f355f798e4512e01627cacd4e5840aae5d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34799250$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhuo, Xiaohui</creatorcontrib><creatorcontrib>Melzer Cohen, Cheli</creatorcontrib><creatorcontrib>Chen, Jieling</creatorcontrib><creatorcontrib>Chodick, Gabriel</creatorcontrib><creatorcontrib>Alsumali, Adnan</creatorcontrib><creatorcontrib>Cook, John</creatorcontrib><title>Validating the UK prospective diabetes study outcome model 2 using data of 94,946 Israeli patients with type 2 diabetes</title><title>Journal of diabetes and its complications</title><addtitle>J Diabetes Complications</addtitle><description>To externally validate the United Kingdom Prospective Diabetes Study (UKPDS) Outcome Model 2 (OM2) in contemporary Israeli patient populations.
De-identified patient data on demographics, time-varying risk factors, and clinical events of newly diagnosed type 2 diabetes patients were extracted from the Maccabi Healthcare Services (MHS) diabetes registry over years 2000–2013. Depending on the baseline risk, patients were categorized into low-risk and intermediate-risk groups. In addition to assessing discriminatory performance, the predicted and observed 15-year cumulative incidences of diabetes complications and death were compared among all patients and for the two risk-groups.
The discriminatory capability of OM2 was moderate to good, C-statistic ranging 0.71–0.95. The model overpredicted the risk for MI, blindness and death (Predicted/Observed events (P/O: 1.32–2.31)), and underpredicted the risk of IHD (P/O: 0.5). In patients with a low baseline risk, overpredictions were even more pronounced. OM2 performed well in predicting renal failure and ulcer risk in patients with a low risk but predicted well the risk of death, stroke, CHF, and amputation in patients with an intermediate risk.
OM2 demonstrated good to moderate discrimination capability for predicting diabetes complications and mortality risks in Israeli diabetes population. The prediction performance differed between patients with different baseline risks.
•OM2 demonstrated moderate to good discriminating capability in a cohort of Israeli patients with type 2 diabetes.•OM2 overpredicted 15-year risk for all-cause mortality, myocardial infarction, and blindness, mainly in low risk patients.•In patients with low baseline risk, OM2 performed well in predicting renal failure and ulcer risk.•In patients with an intermediate risk, OM2 predicted well the risk of all-cause mortality, stroke, CHF, and amputation.</description><subject>Age</subject><subject>Amputation</subject><subject>Body mass index</subject><subject>Calibration</subject><subject>Clinical medicine</subject><subject>Diabetes</subject><subject>Diabetes complications</subject><subject>Diabetes Complications - complications</subject><subject>Diabetes Mellitus, Type 2 - complications</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>External validation</subject><subject>Glucose</subject><subject>Health maintenance organizations</subject><subject>Heart rate</subject><subject>Hemoglobin</subject><subject>HMOs</subject><subject>Humans</subject><subject>Mortality</subject><subject>Patients</subject><subject>Prediction</subject><subject>Prospective Studies</subject><subject>Risk Assessment</subject><subject>Risk equations</subject><subject>Risk Factors</subject><subject>Stroke</subject><subject>Type 2 diabetes</subject><subject>Ulcers</subject><subject>United Kingdom - epidemiology</subject><issn>1056-8727</issn><issn>1873-460X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkUtv1DAUhS0EoqXwFypLbFiQqe34lR2o4lG1UjctYmc59g11lExC7LSaf88dTYcFG1a2rO-ce30OIeecbTjj-qLf9DH5MI3zRjDB8dEyq1-QU25NXUnNfr7EO1O6skaYE_Im554xppXir8lJLU3TCMVOydMPP6ToS9r-ouUB6P01nZcpzxBKegSKM1ookGkua9zRaS04Eug4RRiooGve61Du6dTRRn5spKZXefEwJDqjK2xLpk-pPNCymwEVR8O35FXnhwzvns8zcv_1y93l9-rm9tvV5eebKtSNLpXlTCrL2taarlWhNg203rQxGNuB7mqlOtNYkIoLwFiECT5ECcpK5j2oWJ-RDwdf_NXvFXJxY8oBhsFvYVqzE5oxYWUjLaLv_0H7aV22uB1SXIlGWSOR0gcqYEx5gc7NSxr9snOcuX01rnfHaty-GneoBoXnz_ZrO0L8Kzt2gcCnAwCYx2OCxeWAAQaIacE6XJzS_2b8AbBIol8</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Zhuo, Xiaohui</creator><creator>Melzer Cohen, Cheli</creator><creator>Chen, Jieling</creator><creator>Chodick, Gabriel</creator><creator>Alsumali, Adnan</creator><creator>Cook, John</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K6X</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>202201</creationdate><title>Validating the UK prospective diabetes study outcome model 2 using data of 94,946 Israeli patients with type 2 diabetes</title><author>Zhuo, Xiaohui ; Melzer Cohen, Cheli ; Chen, Jieling ; Chodick, Gabriel ; Alsumali, Adnan ; Cook, John</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-8104580bb87fb5c379eba7bdc78fe6f355f798e4512e01627cacd4e5840aae5d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Amputation</topic><topic>Body mass index</topic><topic>Calibration</topic><topic>Clinical medicine</topic><topic>Diabetes</topic><topic>Diabetes complications</topic><topic>Diabetes Complications - complications</topic><topic>Diabetes Mellitus, Type 2 - complications</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>External validation</topic><topic>Glucose</topic><topic>Health maintenance organizations</topic><topic>Heart rate</topic><topic>Hemoglobin</topic><topic>HMOs</topic><topic>Humans</topic><topic>Mortality</topic><topic>Patients</topic><topic>Prediction</topic><topic>Prospective Studies</topic><topic>Risk Assessment</topic><topic>Risk equations</topic><topic>Risk Factors</topic><topic>Stroke</topic><topic>Type 2 diabetes</topic><topic>Ulcers</topic><topic>United Kingdom - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhuo, Xiaohui</creatorcontrib><creatorcontrib>Melzer Cohen, Cheli</creatorcontrib><creatorcontrib>Chen, Jieling</creatorcontrib><creatorcontrib>Chodick, Gabriel</creatorcontrib><creatorcontrib>Alsumali, Adnan</creatorcontrib><creatorcontrib>Cook, John</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>British Nursing Index</collection><collection>Consumer Health Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of diabetes and its complications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhuo, Xiaohui</au><au>Melzer Cohen, Cheli</au><au>Chen, Jieling</au><au>Chodick, Gabriel</au><au>Alsumali, Adnan</au><au>Cook, John</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validating the UK prospective diabetes study outcome model 2 using data of 94,946 Israeli patients with type 2 diabetes</atitle><jtitle>Journal of diabetes and its complications</jtitle><addtitle>J Diabetes Complications</addtitle><date>2022-01</date><risdate>2022</risdate><volume>36</volume><issue>1</issue><spage>108086</spage><epage>108086</epage><pages>108086-108086</pages><artnum>108086</artnum><issn>1056-8727</issn><eissn>1873-460X</eissn><abstract>To externally validate the United Kingdom Prospective Diabetes Study (UKPDS) Outcome Model 2 (OM2) in contemporary Israeli patient populations.
De-identified patient data on demographics, time-varying risk factors, and clinical events of newly diagnosed type 2 diabetes patients were extracted from the Maccabi Healthcare Services (MHS) diabetes registry over years 2000–2013. Depending on the baseline risk, patients were categorized into low-risk and intermediate-risk groups. In addition to assessing discriminatory performance, the predicted and observed 15-year cumulative incidences of diabetes complications and death were compared among all patients and for the two risk-groups.
The discriminatory capability of OM2 was moderate to good, C-statistic ranging 0.71–0.95. The model overpredicted the risk for MI, blindness and death (Predicted/Observed events (P/O: 1.32–2.31)), and underpredicted the risk of IHD (P/O: 0.5). In patients with a low baseline risk, overpredictions were even more pronounced. OM2 performed well in predicting renal failure and ulcer risk in patients with a low risk but predicted well the risk of death, stroke, CHF, and amputation in patients with an intermediate risk.
OM2 demonstrated good to moderate discrimination capability for predicting diabetes complications and mortality risks in Israeli diabetes population. The prediction performance differed between patients with different baseline risks.
•OM2 demonstrated moderate to good discriminating capability in a cohort of Israeli patients with type 2 diabetes.•OM2 overpredicted 15-year risk for all-cause mortality, myocardial infarction, and blindness, mainly in low risk patients.•In patients with low baseline risk, OM2 performed well in predicting renal failure and ulcer risk.•In patients with an intermediate risk, OM2 predicted well the risk of all-cause mortality, stroke, CHF, and amputation.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34799250</pmid><doi>10.1016/j.jdiacomp.2021.108086</doi><tpages>1</tpages></addata></record> |
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subjects | Age Amputation Body mass index Calibration Clinical medicine Diabetes Diabetes complications Diabetes Complications - complications Diabetes Mellitus, Type 2 - complications Diabetes Mellitus, Type 2 - epidemiology External validation Glucose Health maintenance organizations Heart rate Hemoglobin HMOs Humans Mortality Patients Prediction Prospective Studies Risk Assessment Risk equations Risk Factors Stroke Type 2 diabetes Ulcers United Kingdom - epidemiology |
title | Validating the UK prospective diabetes study outcome model 2 using data of 94,946 Israeli patients with type 2 diabetes |
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