Background/Objectives
Delirium severity confers additional prognostic information beyond diagnosis, and is useful for monitoring the course of delirium and its response to treatment. Our objective was to derive and validate a method for scoring delirium severity using the 3D-CAM, a recently validated, brief, structured diagnostic interview for Confusion Assessment Method (CAM)-defined delirium, and to demonstrate its agreement with the CAM Severity (CAM-S) short form (SF) measure as the reference standard.
Design
Derivation and validation analysis in a prospective cohort study.
Setting
Two academic medical centers.
Participants
Patients age ≥70 undergoing major elective non-cardiac surgery enrolled in the Successful Aging after Elective Surgery Study (566 patients).
Measurements
The sample was randomly divided into a derivation dataset (N=377) and an independent validation dataset (N=189). These datasets were used to: 1) develop a severity scoring method using the 3D-CAM based on the 4-item CAM-S SF (3D-CAM-S), and 2) evaluate agreement between the 3D-CAM-S and the traditional CAM-S SF using weighted kappa statistics.
Results
A method for scoring severity using 3D-CAM items was developed that achieved high agreement with the CAM-S SF in the derivation dataset: kappa=0.94 (95% confidence interval [CI] 0.93-0.95). Importantly, the 3D-CAM-S achieved nearly identical agreement in the independent validation dataset: kappa=0.93 (95% CI 0.92-0.95). Moreover, 100% of the 3D-CAM-S scores were within one point of the CAM-S SF score in both datasets. The 3D-CAM-S also strongly predicts clinical outcomes.
Conclusion
Our newly developed method for scoring delirium severity using the 3D-CAM (the 3D-CAM-S) has excellent agreement with the CAM-S SF. This new methodology enables clinicians and researchers using the 3D-CAM for surveillance to simultaneously measure delirium severity and monitor its course by tracking changes over time. The 3D-CAM-S expands the utility of the 3D-CAM as an important tool for delirium recognition and management.