Development and Validation of a Novel Model for Predicting the 5-Year Risk of Type 2 Diabetes in Patients with Hypertension: A Retrospective Cohort Study
المؤلفون المشاركون
Li, Nanfang
Cai, Xintian
Zhu, Qing
Wu, Ting
Zhu, Bin
Aierken, Xiayire
Ahmat, Ayguzal
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-27
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Background.
Hypertension is now common in China.
Patients with hypertension and type 2 diabetes are prone to severe cardiovascular complications and poor prognosis.
Therefore, this study is aimed at establishing an effective risk prediction model to provide early prediction of the risk of new-onset diabetes for patients with a history of hypertension.
Methods.
A LASSO regression model was used to select potentially relevant features.
Univariate and multivariate Cox regression analyses were used to determine independent predictors.
Based on the results of multivariate analysis, a nomogram of the 5-year incidence of T2D in patients with hypertension in mainland China was established.
The discriminative capacity was assessed by Harrell’s C-index, AUC value, calibration plot, and clinical utility.
Results.
After random sampling, 1273 and 415 patients with hypertension were included in the derivation and validation cohorts, respectively.
The prediction model included age, body mass index, FPG, and TC as predictors.
In the derivation cohort, the AUC value and C-index of the prediction model are 0.878 (95% CI, 0.861-0.895) and 0.862 (95% CI, 0.830-0.894), respectively.
In the validation cohort, the AUC value and C-index of the prediction model were 0.855 (95% CI, 0.836-0.874) and 0.841 (95% CI, 0.817-0.865), respectively.
The calibration plots demonstrated good agreement between the estimated probability and the actual observation.
Decision curve analysis shows that nomograms are clinically useful.
Conclusion.
Our nomogram can be used as a simple, affordable, reasonable, and widely implemented tool to predict the 5-year T2D risk of hypertension patients in mainland China.
This application helps timely intervention to reduce the incidence of T2D in patients with hypertension in mainland China.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cai, Xintian& Zhu, Qing& Wu, Ting& Zhu, Bin& Aierken, Xiayire& Ahmat, Ayguzal…[et al.]. 2020. Development and Validation of a Novel Model for Predicting the 5-Year Risk of Type 2 Diabetes in Patients with Hypertension: A Retrospective Cohort Study. BioMed Research International،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1137975
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cai, Xintian…[et al.]. Development and Validation of a Novel Model for Predicting the 5-Year Risk of Type 2 Diabetes in Patients with Hypertension: A Retrospective Cohort Study. BioMed Research International No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1137975
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cai, Xintian& Zhu, Qing& Wu, Ting& Zhu, Bin& Aierken, Xiayire& Ahmat, Ayguzal…[et al.]. Development and Validation of a Novel Model for Predicting the 5-Year Risk of Type 2 Diabetes in Patients with Hypertension: A Retrospective Cohort Study. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1137975
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1137975
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر