BACKGROUND: Data linkage studies find that @entity308 before or after a @entity0 diagnosis predicts reduced survival. This study aimed to determine whether @entity308 or @entity162 in routine hospital admission data independently predicts survival in English @entity0 @entity1 and whether onset in relation to @entity5 diagnosis is significant. METHODS: Data on 77  173 @entity1 diagnosed with @entity0 ( @entity1479 -10 C50) in South East England, 2000-2009, were included. Of these, 131 @entity1 had a diagnosis of @entity162 ( @entity1479 -10 F31) and 955 of @entity308 (either @entity308 ( @entity1479 -10 F32) or @entity308 ( @entity1479 -10 F33)) recorded in Hospital Episode Statistics between 3  years before and a year following @entity5 diagnosis. Kaplan-Meier plots were used to examine overall survival. Cox regression analyses were carried out overall and separately for @entity1316 diagnoses before and after the @entity5 diagnosis and adjusted for confounding variables. RESULTS: A record of @entity308 was a predictor of worse overall survival in @entity0 @entity1 (adjusted HR   =   1.33, 95% CI: 1.20-1.48, p   <   0.001), while the effect of bipolar was not statistically significant (adjusted HR   =   1.33, 95% CI: 0.97-1.82, p   =   0.079). New recordings of @entity308 and @entity162 following a @entity5 diagnosis appeared better predictors of overall survival than a prior history of either. CONCLUSIONS: There is evidence that English @entity0 @entity1 with @entity308 and @entity162 in routine hospital data have worse overall survival than those without these @entity1316 . Further work exploring the concordance of records within administrative health data with clinical diagnosis and cause-specific @entity204 within these @entity1 groups is needed. Copyright    2015 John Wiley _ Sons, Ltd.

The association of @entity1316 with @entity0 survival: an investigation of linked XXXX registration and hospital admission data for South East England.

@entity1 :: ('9606', 'Species') :: ['women', 'patients', 'patient'] @entity1479 :: ('OMIM:252500', 'Disease') :: ['ICD'] @entity162 :: ('MESH:D001714', 'Disease') :: ['bipolar affective disorder', 'bipolar recorded', 'bipolar diagnoses'] @entity308 :: ('MESH:D003866', 'Disease') :: ['depressive episodes', 'depressive disorder', 'depression'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancer'] @entity5 :: ('MESH:D009369', 'Disease') :: ['cancer'] @entity1316 :: ('MESH:D019964', 'Disease') :: ['mood disorder', 'mood disorders'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death']
@entity5 :: (MESH:D009369,Disease) :: ['cancer']
