Mortality in dementia with Lewy bodies compared to Alzheimer’s dementia: a retrospective naturalistic cohort study

Publication: BMJ Open

Price A, Farooq R, Yuan J-M, Menon VB, Cardinal RN, O’Brien JT

3 November 2017


The researchers here aimed to use routine clinical data to investigate survival in dementia with Lewy bodies (DLB) compared with Alzheimer’s dementia (AD).

DLB is the second most common dementia subtype after AD, accounting for around 7% of dementia diagnoses in secondary care, though studies suggest that it is underdiagnosed by up to 50%.

Most previous studies of DLB have been based on select research cohorts, so little is known about the outcome of the disease in routine healthcare settings.

Working with Cambridgeshire & Peterborough NHS Foundation Trust, a mental health trust providing secondary mental health care in England, the researchers used samples from 251 DLB and 222 AD identified from an anonymised database, derived from electronic clinical case records across an 8-year period (2005-2012), with mortality data updated to May 2015.

Raw (uncorrected) median survival was 3.72 years for DLB and 6.95 years for AD. Controlling for age at diagnosis, comorbidity and antipsychotic prescribing the model predicted median survival for DLB was 3.3 years for males and 4.0 years for females, while median survival for AD was 6.7 years for males and 7.0 years for females.

The researchers concluded that survival from first presentation with cognitive impairment was markedly shorter in DLB compared with AD, independent of age, sex, physical comorbidity or antipsychotic prescribing.

This finding, in one of the largest clinical cohorts of DLB cases assembled to date, adds to existing evidence for poorer survival for DLB versus AD. There is an urgent need for further research to understand possible mechanisms accounting for this finding.

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Clinical records anonymisation and text extraction (CRATE): an open-source software system

Publication: BMC Medical Informatics and Decision Making

Rudolf N Cardinal

26 April 2017


Electronic medical records contain information of value for research, but contain identifiable and often highly sensitive confidential information.

Patient-identifiable information cannot in general be shared outside clinical care teams without explicit consent, but anonymisation/de-identification allows research uses of clinical data without explicit consent.

This article presents CRATE (Clinical Records Anonymisation and Text Extraction), an open-source software system with separable functions: (1) it anonymises or de-identifies arbitrary relational databases, with sensitivity and precision similar to previous comparable systems; (2) it uses public secure cryptographic methods to map patient identifiers to research identifiers (pseudonyms); (3) it connects relational databases to external tools for natural language processing; (4) it provides a web front end for research and administrative functions; and (5) it supports a specific model through which patients may consent to be contacted about research.

Creation and management of a research database from sensitive clinical records with secure pseudonym generation, full-text indexing, and a consent-to-contact process is possible and practical using entirely free and open-source software.

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Association between antipsychotic/antidepressant drug treatments and hospital admissions in schizophrenia assessed using a mental health case register

Publication: npj Schizophrenia

Cardinal RN, Savulich G, Mann LM, Fernández-Egea E

21 October 2015


The impact of psychotropic drug choice upon admissions for schizophrenia is not well understood. This study aimed to examine the association between antipsychotic / antidepressant use and time in hospital for patients with schizophrenia.

The researchers conducted an observational study, using 8 years’ admission records and electronically generated drug histories from an institution providing secondary mental health care in Cambridgeshire, UK, covering the period 2005-2012 inclusive.

Patients with a coded ICD-10 diagnosis of schizophrenia were selected. The primary outcome measure was the time spent as an inpatient in a psychiatric unit. Antipsychotic and antidepressant drugs used by at least 5% of patients overall were examined for associations with admissions. Periods before and after drug commencement were compared for patients having pre-drug admissions, in mirror-image analyses correcting for overall admission rates.

Drug use in one 6-month calendar period was used to predict admissions in the next period, across all patients, in a regression analysis accounting for the effects of all other drugs studied and for time.

In mirror-image analyses, sulpiride, aripiprazole, clozapine, and olanzapine were associated with fewer subsequent admission days. In regression analyses, sulpiride, mirtazapine, venlafaxine, and clozapine-aripiprazole and clozapine-amisulpride combinations were associated with fewer subsequent admission days.

Use of these drugs was associated with fewer days in hospital. Causation is not implied and these findings require confirmation by randomized controlled trials.

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