ArticleLipids in health and disease2023
Development and validation of a nomogram prediction model for hypertension-diabetes comorbidity based on chronic disease management in the community.
Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 9 citations in OpenAlex.
- A predictive model for the risk of death within 30 days in patients with cardiorenal syndrome treated with continuous renal replacement therapy: A retrospective study based on the MIMIC-IV database.Scientific reports · 2026Article
- Hypertension-diabetes comorbidity in tropical Chinese adults.Journal of global health · 2026Article
- Predicting frailty risk in adults exposed to parental violence during childhood: a nomogram development and validation study.BMC public health · 2026Article
- Prediction of Gestational Diabetes Mellitus: A Nomogram Model Incorporating Lifestyle, Nutrition and Health Literacy Factors.Nutrients · 2025Article
- Construction of a risk prediction model for hypertension in type 2 diabetes: Independent risk factors and nomogram.World journal of diabetes · 2025Article
- Construction of a predictive model for type 2 diabetes mellitus with coexisting hypertension: A cross-sectional study.Medicine · 2025Observational
- Development and validation of a nomogram model for predicting the risk of hypertension in Bangladesh.Heliyon · 2024Article
- [Risk factors for ketoacidosis in children/adolescents with type 1 diabetes mellitus and establishment of a predictive model].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024Article
- The relationship between hypertriglyceridemic wait-to-height ratio and hypertension-diabetes comorbidity among older adult.Frontiers in public health · 2023Article
- A Nomogram Prediction Model for Clinical Outcome of Trauma-induced Coagulopathy Patients with Severe Multiple Trauma.Journal of emergencies, trauma, and shockArticle
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7 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
purposeDevelop and validate a nomogram prediction model for hypertension-diabetes comorbidities based on chronic disease management in the community. PATIENTS AND
methodsThe nomogram prediction model was developed in a cohort of 7200 hypertensive patients at a community health service center in Hongshan District, Wuhan City. The data were collected from January 2022 to December 2022 and randomly divided into modeling and validation groups at a 7:3 ratio. The Lasso regression model was used for data dimensionality reduction, feature selection, and clinical test feature construction. Multivariate logistic regression analysis was used to build the prediction model.
resultsThe application of the nomogram in the verification group showed good discrimination, with an AUC of 0.9205 (95% CI: 0.8471-0.9527) and a good calibration effect. Decision curve analysis demonstrated that the predictive model was clinically useful.
conclusionThis study presents a nomogram prediction model that incorporates age, waist-height ratio and elevated density lipoprotein cholesterol (HDL-CHOLESTEROL), which can be used to predict the risk of codeveloping diabetes in hypertensive patients.
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