ArticleMedical care2009
The contribution of longitudinal comorbidity measurements to survival analysis.
Article in Medical care, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
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- Chronic condition change and its longitudinal association with health care utilization among rural older adults: intergenerational financial support as a possible moderator?BMC geriatrics · 2024Article
- Do routine hospital data accurately record comorbidity in advanced kidney disease populations? A record linkage cohort study.BMC nephrology · 2021Article
- Multimorbidity patterns and their relationship to mortality in the US older adult population.PloS one · 2021Article
- Long-term mortality in young and middle-aged adults hospitalised with chronic disease: a Danish cohort study.BMJ open · 2020Article
- Development and Validation of a Risk Stratification Model Using Disease Severity Hierarchy for Mortality or Major Cardiovascular Event.JAMA network open · 2020Article
- Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models.Healthcare informatics research · 2020Article
- Harnessing repeated measurements of predictor variables for clinical risk prediction: a review of existing methods.Diagnostic and prognostic research · 2020Review
- Age and Other Risk Factors Influencing Long-Term Mortality in Patients With Traumatic Cervical Spine Fracture.Geriatric orthopaedic surgery & rehabilitation · 2018Article
- Effects of longitudinal changes in Charlson comorbidity on prognostic survival model performance among newly diagnosed patients with hypertension.BMC health services research · 2016Article
- Article
- Gender Differences in the Combined Effects of Cardiovascular Disease and Osteoarthritis on Progression to Functional Impairment in Older Mexican Americans.The journals of gerontology. Series A, Biological sciences and medical sciences · 2016Article
- Comparison of Comorbidity Scores in Predicting Surgical Outcomes.Medical care · 2016Article
- Distinct trajectories of multimorbidity in primary care were identified using latent class growth analysis.Journal of clinical epidemiology · 2014Article
- Assessment of morbidity over time in predicting health outcomes.Medical care · 2014Article
- Adding flexible temporal constraints to identify chronic comorbid conditions in ambulatory claims data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- A population-based analysis of leaving the hospital against medical advice: incidence and associated variables.BMC health services research · 2013Article
- Comparison of Scoring Methods for ACE-27: Simpler Is Better.Journal of geriatric oncology · 2012Article
- The effect of incident cancer, depression and pulmonary disease exacerbations on type 2 diabetes control.Journal of general internal medicine · 2011Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundMany clinical and health services research studies are longitudinal, raising questions about how best to use an individual's comorbidity measurements over time to predict survival.
objectivesTo evaluate the performance of different approaches to longitudinal comorbidity measurement in predicting survival, and to examine strategies for addressing the inevitable issue of missing data. RESEARCH
designRetrospective cohort study using Cox regression analysis to examine the association between various Romano-Charlson comorbidity measures and survival. SUBJECTS: Fifty thousand cancer-free individuals aged 66 or older enrolled in Medicare between 1991 and 1999 for at least 1 year.
resultsThe best fitting model combined both time independent baseline comorbidity and the time dependent prior year comorbidity measure. The worst fitting model included baseline comorbidity only. Overall, the models fit best when using the "rolling" comorbidity measures that assumed chronic conditions persisted rather than measures using only prior year's recorded diagnoses.
conclusionsLongitudinal comorbidity is an important predictor of survival, and investigators should make use of individuals' longitudinal comorbidity data in their regression modeling.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.