1. Development and validation of an aetiology in delirium diagnostic support tool.
- Author
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Eeles, Eamonn, Huang, Lisa, Dakin, Lucy, Ling, Carolina, Dunn, Erin, Fraser, Jon, and Dissanayaka, Nadeeka N
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EXPERIMENTAL design , *CONFIDENCE intervals , *RESEARCH methodology , *RESEARCH methodology evaluation , *MEDICAL consultants , *DELIRIUM , *DESCRIPTIVE statistics , *DATA analysis software - Abstract
Background recognition of the multifactorial causes of delirium represents a clinical challenge. Objectives to develop and show proof of principle of a diagnostic support tool (DST) for identification of causes of delirium. Methods stage 1—development of the aetiology in delirium-diagnostic support tool (AiD-DST); stage 2—validation of the AiD-DST against reference standard diagnosis, based on clinical assessment from two independent consultant geriatricians. Results a series of eight steps AiD-DST were formulated by an expert group to identify possible causes of delirium. Forty inpatients admitted to a general medical unit with a consultant physician/geriatrician diagnosis of delirium were recruited, consented and reviewed against the AiD-DST. Mean age was 85.1 (standard deviation 7.9) years and 26 (65%) of participants were female. Participants had multiple chronic co-morbidities [median Charlson Comorbidity Index 7; interquartile range (IQR 6–9)] and median number of medications was 8 (IQR 6–11.75). Median number of causes of delirium detected on AiD-DST was 3 (IQR 3–4) versus 5 (IQR 3–6) using the reference standard diagnosis, with sensitivity of 88.8% (95% confidence interval, 81.6–93.9%) and specificity of 71.8% (63–79.5%). Conclusions the aetiology in delirium DST shows promise in the identification of cause(s) in delirium. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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