Neurological signs and late-life depressive symptoms in a community population: the ESPRIT study.

OBJECTIVE: Depression in the elderly is common and often resistant to treatment. It has been suggested that late-life depression may be related to underlying neurobiological changes. However, these observations are derived from diverse clinical samples and as yet have not been confirmed in a more representative population study. Our aim was to investigate associations between neurological signs as markers of underlying brain dysfunction and caseness for depression in an elderly community sample, controlling for physical health and comorbid/past neurological disorders. METHOD: A cross-sectional analysis of 2102 older people without dementia from the ESPRIT project. Depressive symptomatology was ascertained using the CES-D and abnormal neurological signs/comorbidity from a full neurological examination according to ICD-10 criteria. RESULTS: Pyramidal, extrapyramidal, cranial nerve and sensory deficit signs were significantly associated with case-level depressive symptoms. However, all odds ratios were close to null values in participants who did not have previous neurological disorder. CONCLUSIONS: We confirmed previous findings of an association between neurological signs and case-level depressive symptoms in late life. However, this association may simply reflect the impact of more severe comorbid neurological disorder.

The psychiatric case register: noble past, challenging present, but exciting future.

Case registers have been fundamental to mental health research from the early asylum studies onwards. Having declined in popularity over the past 20 years, they are likely to see a resurgence of interest with the advent of electronic clinical records and the technological capacity to derive anonymised databases from these.

The South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register: development and descriptive data.

BACKGROUND: Case registers have been used extensively in mental health research. Recent developments in electronic medical records, and in computer software to search and analyse these in anonymised format, have the potential to revolutionise this research tool. METHODS: We describe the development of the South London and Maudsley NHS Foundation Trust (SLAM) Biomedical Research Centre (BRC) Case Register Interactive Search tool (CRIS) which allows research-accessible datasets to be derived from SLAM, the largest provider of secondary mental healthcare in Europe. All clinical data, including free text, are available for analysis in the form of anonymised datasets. Development involved both the building of the system and setting in place the necessary security (with both functional and procedural elements). RESULTS: Descriptive data are presented for the Register database as of October 2008. The database at that point included 122,440 cases, 35,396 of whom were receiving active case management under the Care Programme Approach. In terms of gender and ethnicity, the database was reasonably representative of the source population. The most common assigned primary diagnoses were within the ICD mood disorders (n = 12,756) category followed by schizophrenia and related disorders (8158), substance misuse (7749), neuroses (7105) and organic disorders (6414). CONCLUSION: The SLAM BRC Case Register represents a 'new generation' of this research design, built on a long-running system of fully electronic clinical records and allowing in-depth secondary analysis of both numerical, string and free text data, whilst preserving anonymity through technical and procedural safeguards.