ArticleMedical science monitor : international medical journal of experimental and clinical research2022
Development of a Predictive Nomogram for Estimating Medication Nonadherence in Hemodialysis Patients.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Unveiling the proteomic landscape: Exploring differentially expressed proteins in patients with jaw cysts.Medicine · 2026Article
- Decoding Dementia Mechanisms: Identification of Key Oligodendrocyte- Associated Genes through Integrative Bioinformatics and Machine Learning.Current topics in medicinal chemistry · 2026Article
- Health literacy, illness perception, and their association with medication adherence in end-stage renal disease.International urology and nephrology · 2025Observational
- Prediction of medication nonadherence in patients with lung cancer based on nomogram model construction.Medicine · 2025Observational
- Developing a Nomogram Prediction Model for Dietary Behavior Adherence in Hemodialysis Patients.Patient preference and adherence · 2025Article
- Analysis of the Relationship Between NLRP3 and Alzheimer's Disease in Oligodendrocytes based on Bioinformatics andCurrent Alzheimer research · 2025Article
- Development and Validation of a New Nomogram for Predicting Medication Nonadherence Risk in a Chinese Hyperlipidemia Population.Patient preference and adherence · 2025Article
- Investigating the risk factors for nonadherence to analgesic medications in cancer patients: Establishing a nomogram model.Heliyon · 2024Article
- A Retrospective Study of Biological Risk Factors Associated with Primary Knee Osteoarthritis and the Development of a Nomogram Model.International journal of general medicine · 2024Article
- A Predictive Model for Identifying Low Medication Adherence Among Patients with Cirrhosis.Patient preference and adherence · 2023Article
- A Simple Nomogram for Predicting Osteoarthritis Severity in Patients with Knee Osteoarthritis.Computational and mathematical methods in medicine · 2022Article
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Authors and funding
6 authors.
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Abstract
BACKGROUND Medication compliance in hemodialysis patients affects the therapeutic effect of treatment and patient survival. Therefore, we aimed to explore the influencing factors of medication adherence in hemodialysis patients and develop a nomogram model to predict medication adherence. MATERIAL AND METHODS Data from questionnaires on medication adherence in hemodialysis patients were collected in Chengde from May 2020 to December 2020. The least absolute selection operator (LASSO) regression model and multivariable logistic regression analysis were used to analyze the risk factors for medication adherence in hemodialysis patients, and then a nomogram model was established. The bootstrap method was applied for internal validation. The concordance index (C-index), area under the receiver operating characteristic (ROC) curve (AUC), decision curve analysis (DCA), calibration curve, net reclassification improvement (NRI) index, and integrated discrimination improvement (IDI) index were used to evaluate the degree of differentiation and accuracy of the nomogram model, and clinical impact was used to investigate the potential clinical value of the nomogram model. RESULTS In total, 206 patients were included in this study, with a rate of medication nonadherence of 41.75%. Eight predictors were identified to build the nomogram model. The C-index, AUC, DCA, calibration curve, NRI, and IDI showed that the model had good discrimination and accuracy. The clinical impact plot showed that the nomogram of medication adherence in hemodialysis patients had clinical application value. CONCLUSIONS We developed and validated a nomogram model that is intuitive to apply for predicting medication adherence in hemodialysis patients.
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