BACKGROUND: Prognostic factors of @entity162 must be identified to assist in staging and treatment, and this may be done primarily during the initial @entity146 assessment. In fact, most of the prognostic factors, which determine disease outcome, could be detected from simple but often-unrecorded questions asked during the @entity146 clinic visit. METHODS: We collected data from the clinical notes of 70 @entity162 outpatients seen at the initial @entity146 assessment clinic about socio-demographic and clinical factors to determine whether various factors had relevance to prevalence, prognosis, or outcome. RESULTS: The sample comprised 16 @entity162 (22.9%) and 54 @entity162 (77.1%) outpatients; a @entity146 comorbidity was noted in 26 @entity1 (37.1%). 60.9% (42 @entity1 ) reported @entity148 features and 12 @entity1 (17.6%) were noted to have obsessive-compulsive characteristics. Percentages reported in our results are of the sample for which the data was available. @entity4270 is a @entity308 feature that was present in most of the population where this data was available (92.2%, 59 @entity1 ) and 81.8% (54 @entity1 ) reported suicidal thoughts during a @entity308 episode. 74.6% (47 @entity1 ) had a family history of @entity162 , @entity308 , suicide or @entity716 . 27 @entity1 (39.7%) reported current alcohol use and 14 @entity1 (22.6%) current illicit drug use. A comparison between 10 prognostic factors found that only the correlations between current illicit drug use/previous illicit drug use (  (2)=11.471, P<0.001), current alcohol use/previous alcohol use (  (2)=31.510, P<0.001) and current illicit drug use/ @entity148 (  (2)=5.094, P=0.022) were statistically significant; the correlation between previous illicit drug use/previous alcohol use (  (2)=5.071, P=0.023) and previous alcohol use/family history (  (2)=4.309, P=0.037) were almost statistically significant. 17 @entity1 (24.3%) of the 70 @entity162 @entity1 were assigned to a care coordinator; we have evaluated the possible differences between the @entity1 with or without a care coordinator on the basis of the presence of 10 possible prognostic factors and found no statistically significant differences between these two groups of @entity1 . CONCLUSIONS: We have identified several trends in our @entity1 with @entity162 that agree with previous research. Our sample suggested that the assignation of a care coordinator is not done on a clinical basis. In our sample, some @entity1 were found not to have information available so we suggest that a questionnaire to remind clinicians of potentially useful information would be helpful to aid in prognostication. In particular, specific features of the disease, like family history, age at onset, and features of @entity308 episodes may be highlighted as our sample suggests that these are often unrecorded when not known or negative.

XXXX : The importance of clinical assessment in identifying prognostic factors - An Audit. Part 1: An analysis of potential prognostic factors.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity162 :: ('MESH:D001714', 'Disease') :: ['bipolar disorder', 'bipolar I', 'bipolar II', 'bipolar'] @entity308 :: ('MESH:D003866', 'Disease') :: ['depression', 'depressive'] @entity146 :: ('MESH:D001523', 'Disease') :: ['psychiatric'] @entity4270 :: ('MESH:D059445', 'Disease') :: ['Anhedonia'] @entity148 :: ('MESH:D001008', 'Disease') :: ['anxiety'] @entity716 :: ('MESH:D011605', 'Disease') :: ['psychosis']
@entity162 :: (MESH:D001714,Disease) :: ['Bipolar disorder']
