Validation Study of Nine Postoperative Delirium Risk Instruments

292 elective and emergency surgical patients aged 50 years or older were prospectively studied to validate nine risk stratification instruments for postoperative delirium. The dataset includes patient outcomes and calculated performance metrics like area under the curve (AUC), predictive values, and observed delirium incidence. Data was collected by Carolien J. Jansen and published in 2019.

Use Cases

• Compare the area under the curve (AUC) values across the nine risk stratification instruments to assess diagnostic performance.
• Analyze the positive and negative predictive values of each instrument against the observed 9% delirium incidence.
• Evaluate the positive agreement between different risk instruments using the calculated 0-66% agreement metrics.
• Investigate the maximum observed incidence per risk score, which reached 50% for one instrument, to identify high-risk patient profiles.

Strengths

• Prospective data collection from 292 surgical patients provides a defined validation cohort.
• Includes performance metrics for nine different risk instruments, enabling direct comparison.
• Dataset is focused on a specific clinical outcome (postoperative delirium) with a 9% observed incidence rate.

Limitations

• Small sample size of 292 patients may limit the statistical power to detect significant instrument performance.
• Risk instruments were not always implemented exactly as in original studies, potentially introducing methodological bias.
• The population is specific to surgical patients aged ≥50, limiting generalizability to other patient groups.

Provenance

Source

Carolien J. Jansen via Dryad

Collection Method

Prospective data collection from consecutive elective and emergency surgical patients.

Freshness

2019-06-26