Development and validation of a risk score nomogram model to predict the risk of 5-year all-cause mortality in diabetic patients with hypertension : A study based on NHANES data
© 2024 The Authors. Published by Elsevier B.V..
Background: The present study aimed to develop and validate a prediction nomogram model for 5-year all-cause mortality in diabetic patients with hypertension.
Methods: Data were extracted from the National Health and Nutrition Examination Survey (NHANES). A total of 3291 diabetic patients with hypertension in the NHANES cycles for 1999-2014 were selected and randomly assigned at a ratio of 8:2 to the training cohort (n = 2633) and validation cohort (n = 658). Multivariable Cox regression was conducted to establish a visual nomogram model for predicting the risk of 5-year all-cause mortality. Receiver operating characteristic curves and C-indexes were used to evaluate the discriminant ability of the prediction nomogram model for all-cause mortality. Survival curves were created using the Kaplan-Meier method and compared by the log-rank test.
Results: The nomogram model included eight independent predictors: age, sex, education status, marital status, smoking, serum albumin, blood urea nitrogen, and previous cardiovascular disease. The C-indexes for the model in the training and validation cohorts were 0.76 (95% confidence interval: 0.73-0.79, p < 0.001) and 0.75 (95% confidence interval: 0.69-0.81, p < 0.001), respectively. The calibration curves indicated that the model had satisfactory consistency in the two cohorts. The risk of all-cause mortality gradually increased as the tertiles of the nomogram model score increased (log-rank test, p < 0.001).
Conclusion: The newly developed nomogram model, a readily useable and efficient tool to predict the risk of 5-year all-cause mortality in diabetic patients with hypertension, provides a novel risk stratification method for individualized intervention.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:21 |
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| Enthalten in: |
International journal of cardiology. Cardiovascular risk and prevention - 21(2024) vom: 27. Apr., Seite 200265 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
You, Hongzhao [VerfasserIn] |
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| Links: |
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| Themen: |
All-cause mortality |
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| Anmerkungen: |
Date Revised 06.04.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.ijcrp.2024.200265 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM370664310 |
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| 100 | 1 | |a You, Hongzhao |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Development and validation of a risk score nomogram model to predict the risk of 5-year all-cause mortality in diabetic patients with hypertension |b A study based on NHANES data |
| 264 | 1 | |c 2024 | |
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| 500 | |a Date Revised 06.04.2024 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2024 The Authors. Published by Elsevier B.V. | ||
| 520 | |a Background: The present study aimed to develop and validate a prediction nomogram model for 5-year all-cause mortality in diabetic patients with hypertension | ||
| 520 | |a Methods: Data were extracted from the National Health and Nutrition Examination Survey (NHANES). A total of 3291 diabetic patients with hypertension in the NHANES cycles for 1999-2014 were selected and randomly assigned at a ratio of 8:2 to the training cohort (n = 2633) and validation cohort (n = 658). Multivariable Cox regression was conducted to establish a visual nomogram model for predicting the risk of 5-year all-cause mortality. Receiver operating characteristic curves and C-indexes were used to evaluate the discriminant ability of the prediction nomogram model for all-cause mortality. Survival curves were created using the Kaplan-Meier method and compared by the log-rank test | ||
| 520 | |a Results: The nomogram model included eight independent predictors: age, sex, education status, marital status, smoking, serum albumin, blood urea nitrogen, and previous cardiovascular disease. The C-indexes for the model in the training and validation cohorts were 0.76 (95% confidence interval: 0.73-0.79, p < 0.001) and 0.75 (95% confidence interval: 0.69-0.81, p < 0.001), respectively. The calibration curves indicated that the model had satisfactory consistency in the two cohorts. The risk of all-cause mortality gradually increased as the tertiles of the nomogram model score increased (log-rank test, p < 0.001) | ||
| 520 | |a Conclusion: The newly developed nomogram model, a readily useable and efficient tool to predict the risk of 5-year all-cause mortality in diabetic patients with hypertension, provides a novel risk stratification method for individualized intervention | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a All-cause mortality | |
| 650 | 4 | |a Diabetes | |
| 650 | 4 | |a Hypertension | |
| 650 | 4 | |a NHANES | |
| 650 | 4 | |a Nomogram | |
| 700 | 1 | |a Zhang, Dingyue |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Yilu |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Yanyan |e verfasserin |4 aut | |
| 700 | 1 | |a Xiao, Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Xiaojue |e verfasserin |4 aut | |
| 700 | 1 | |a You, Shijie |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Tianjie |e verfasserin |4 aut | |
| 700 | 1 | |a Tian, Tao |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Haobo |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Rui |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Dong |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Jing |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Jiansong |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Weixian |e verfasserin |4 aut | |
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