ArticleAge and ageing2020
A prediction model for one- and three-year mortality in dementia: results from a nationwide hospital-based cohort of 50,993 patients in the Netherlands.
Article in Age and ageing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mortality Risk Models for Persons with Dementia: A Systematic Review.Journal of Alzheimer's disease : JAD · 2021Pooled it
- Article
- External Validation of the Charlson Comorbidity Index-based Model for Survival Prediction in Thai Patients Diagnosed with Dementia.BMC geriatrics · 2024Article
- Age-adjusted Charlson comorbidity index is associated with the risk of osteoporosis in older fall-prone men: a retrospective cohort study.BMC geriatrics · 2024Article
- Long-Term Survival Prediction Model for Elderly Community Members Using a Deep Learning Method.Geriatrics (Basel, Switzerland) · 2023Article
- Development of a novel dementia risk prediction model in the general population: A large, longitudinal, population-based machine-learning study.EClinicalMedicine · 2022Article
- Development of multivariable prediction models for institutionalization and mortality in the full spectrum of Alzheimer's disease.Alzheimer's research & therapy · 2022Article
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5 authors.
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Abstract
objectiveto develop a model to predict one- and three-year mortality in patients with dementia attending a hospital, through hospital admission or day/memory clinic.
designwe constructed a cohort of dementia patients through data linkage of three Dutch national registers: the hospital discharge register (HDR), the population register and the national cause of death register. SUBJECTS: patients with dementia in the HDR aged between 60 and 100 years registered between 1 January 2000 and 31 December 2010.
methodslogistic regression analysis techniques were used to predict one- and three-year mortality after a first hospitalisation with dementia. The performance was assessed using the c-statistic and the Hosmer-Lemeshow test. Internal validation was performed using bootstrap resampling.
results50,993 patients were included in the cohort. Two models were constructed, which included age, sex, setting of care (hospitalised versus day clinic) and the presence of comorbidity using the Charlson comorbidity index. One model predicted one-year mortality and the other three-year mortality. Model discrimination according to the c-statistic for the models was 0.71 (95% CI 0.71-0.72) and 0.72 (95% CI 0.72-0.73), respectively.
conclusionboth models display acceptable ability to predict mortality. An important advantage is that they are easy to apply in daily practise and thus are helpful for individual decision-making regarding diagnostic/therapeutic interventions and advance care planning.
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