TY - JOUR
T1 - Validating the UK prospective diabetes study outcome model 2 using data of 94,946 Israeli patients with type 2 diabetes
AU - Zhuo, Xiaohui
AU - Melzer Cohen, Cheli
AU - Chen, Jieling
AU - Chodick, Gabriel
AU - Alsumali, Adnan
AU - Cook, John
N1 - Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2022/1
Y1 - 2022/1
N2 - Aims: To externally validate the United Kingdom Prospective Diabetes Study (UKPDS) Outcome Model 2 (OM2) in contemporary Israeli patient populations. Methods: 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. Results: 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. Conclusion: 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.
AB - Aims: To externally validate the United Kingdom Prospective Diabetes Study (UKPDS) Outcome Model 2 (OM2) in contemporary Israeli patient populations. Methods: 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. Results: 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. Conclusion: 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.
KW - Diabetes complications
KW - External validation
KW - Prediction
KW - Risk equations
KW - Type 2 diabetes
UR - http://www.scopus.com/inward/record.url?scp=85121002026&partnerID=8YFLogxK
U2 - 10.1016/j.jdiacomp.2021.108086
DO - 10.1016/j.jdiacomp.2021.108086
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C2 - 34799250
AN - SCOPUS:85121002026
SN - 1056-8727
VL - 36
JO - Journal of Diabetes and its Complications
JF - Journal of Diabetes and its Complications
IS - 1
M1 - 108086
ER -