| Literature DB >> 29580448 |
Elizabeth Linton1, Arielle L Langer2, Jeffrey Glassberg3.
Abstract
Analyses of administrative and large data sources in Sickle Cell Disease (SCD) can answer questions not suitable for prospective study but have been hampered by lack of validated methods to adjust for individual comorbidities and lack of baseline utilization data over time. We sought to develop a database to characterize inpatient SCD care across New York State and generate a re-weighted sickle-cell specific Charlson Comorbidity index (S-CCI) for use in future large data SCD research. We identified 18,541 individual SCD patients admitted to New York State hospitals between 2005 and 2013 from the SPARCS database. We present data from both a randomly selected derivation cohort, used to develop the S-CCI and a validation cohort, The S-CCI resulted in small improvements in model fit and discrimination while using fewer covariates, allowing a more parsimonious model. Despite being the most common comorbidity, chronic pulmonary disease was not predictive of mortality. Mortality per hospitalization was 0.61%. Many patients (32%) were admitted only once during the nine year period. However, the majority was admitted more frequently with over 15% of patients being admitted more than once per year.Entities:
Keywords: Charlson comorbidity index; Hospital admission; Mortality; SPARCS; Sickle cell disease
Mesh:
Year: 2017 PMID: 29580448 DOI: 10.1016/j.jnma.2017.10.006
Source DB: PubMed Journal: J Natl Med Assoc ISSN: 0027-9684 Impact factor: 1.798