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Utilizing national patient-register data to control for comorbidity in prognostic studies

OBJECTIVE: To construct an updated comorbidity index (Patient Register Index [PRI]) using national data collections from Norway and compare its predictive ability of 1-year mortality with the Charlson Comorbidity Index (CCI). MATERIALS AND METHODS: Data regarding over 1.11 million patients registere...

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Detalles Bibliográficos
Autores principales: Nilssen, Yngvar, Strand, Trond-Eirik, Wiik, Robert, Bakken, Inger Johanne, Yu, Xue Qin, O’Connell, Dianne L, Møller, Bjørn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4216019/
https://www.ncbi.nlm.nih.gov/pubmed/25368532
http://dx.doi.org/10.2147/CLEP.S70742
Descripción
Sumario:OBJECTIVE: To construct an updated comorbidity index (Patient Register Index [PRI]) using national data collections from Norway and compare its predictive ability of 1-year mortality with the Charlson Comorbidity Index (CCI). MATERIALS AND METHODS: Data regarding over 1.11 million patients registered in the Norwegian Patient Register in 2010 and 2011 were used to construct the PRI. The PRI was evaluated by comparing its model fit and discrimination with the CCI. RESULTS: Compared with the CCI, the PRI weights decreased for six, increased for four, and were unchanged for seven diseases. When the PRI was added to the model including age and sex, the age effects were reduced by up to 38% for patients older than 50 years. All measures of model fit improved for the PRI model. CONCLUSION: Adjustment for comorbidity is especially important for patients 50 years of age or older, and its effect on 1-year mortality is almost comparable to the age effect. The PRI is based on more recent data than the CCI, and is more representative of the general population due to its construction.